Endpointed SSA of Price [Loxx]The Endpointed SSA of Price: A Comprehensive Tool for Market Analysis and Decision-Making
The financial markets present sophisticated challenges for traders and investors as they navigate the complexities of market behavior. To effectively interpret and capitalize on these complexities, it is crucial to employ powerful analytical tools that can reveal hidden patterns and trends. One such tool is the Endpointed SSA of Price, which combines the strengths of Caterpillar Singular Spectrum Analysis, a sophisticated time series decomposition method, with insights from the fields of economics, artificial intelligence, and machine learning.
The Endpointed SSA of Price has its roots in the interdisciplinary fusion of mathematical techniques, economic understanding, and advancements in artificial intelligence. This unique combination allows for a versatile and reliable tool that can aid traders and investors in making informed decisions based on comprehensive market analysis.
The Endpointed SSA of Price is not only valuable for experienced traders but also serves as a useful resource for those new to the financial markets. By providing a deeper understanding of market forces, this innovative indicator equips users with the knowledge and confidence to better assess risks and opportunities in their financial pursuits.
█ Exploring Caterpillar SSA: Applications in AI, Machine Learning, and Finance
Caterpillar SSA (Singular Spectrum Analysis) is a non-parametric method for time series analysis and signal processing. It is based on a combination of principles from classical time series analysis, multivariate statistics, and the theory of random processes. The method was initially developed in the early 1990s by a group of Russian mathematicians, including Golyandina, Nekrutkin, and Zhigljavsky.
Background Information:
SSA is an advanced technique for decomposing time series data into a sum of interpretable components, such as trend, seasonality, and noise. This decomposition allows for a better understanding of the underlying structure of the data and facilitates forecasting, smoothing, and anomaly detection. Caterpillar SSA is a particular implementation of SSA that has proven to be computationally efficient and effective for handling large datasets.
Uses in AI and Machine Learning:
In recent years, Caterpillar SSA has found applications in various fields of artificial intelligence (AI) and machine learning. Some of these applications include:
1. Feature extraction: Caterpillar SSA can be used to extract meaningful features from time series data, which can then serve as inputs for machine learning models. These features can help improve the performance of various models, such as regression, classification, and clustering algorithms.
2. Dimensionality reduction: Caterpillar SSA can be employed as a dimensionality reduction technique, similar to Principal Component Analysis (PCA). It helps identify the most significant components of a high-dimensional dataset, reducing the computational complexity and mitigating the "curse of dimensionality" in machine learning tasks.
3. Anomaly detection: The decomposition of a time series into interpretable components through Caterpillar SSA can help in identifying unusual patterns or outliers in the data. Machine learning models trained on these decomposed components can detect anomalies more effectively, as the noise component is separated from the signal.
4. Forecasting: Caterpillar SSA has been used in combination with machine learning techniques, such as neural networks, to improve forecasting accuracy. By decomposing a time series into its underlying components, machine learning models can better capture the trends and seasonality in the data, resulting in more accurate predictions.
Application in Financial Markets and Economics:
Caterpillar SSA has been employed in various domains within financial markets and economics. Some notable applications include:
1. Stock price analysis: Caterpillar SSA can be used to analyze and forecast stock prices by decomposing them into trend, seasonal, and noise components. This decomposition can help traders and investors better understand market dynamics, detect potential turning points, and make more informed decisions.
2. Economic indicators: Caterpillar SSA has been used to analyze and forecast economic indicators, such as GDP, inflation, and unemployment rates. By decomposing these time series, researchers can better understand the underlying factors driving economic fluctuations and develop more accurate forecasting models.
3. Portfolio optimization: By applying Caterpillar SSA to financial time series data, portfolio managers can better understand the relationships between different assets and make more informed decisions regarding asset allocation and risk management.
Application in the Indicator:
In the given indicator, Caterpillar SSA is applied to a financial time series (price data) to smooth the series and detect significant trends or turning points. The method is used to decompose the price data into a set number of components, which are then combined to generate a smoothed signal. This signal can help traders and investors identify potential entry and exit points for their trades.
The indicator applies the Caterpillar SSA method by first constructing the trajectory matrix using the price data, then computing the singular value decomposition (SVD) of the matrix, and finally reconstructing the time series using a selected number of components. The reconstructed series serves as a smoothed version of the original price data, highlighting significant trends and turning points. The indicator can be customized by adjusting the lag, number of computations, and number of components used in the reconstruction process. By fine-tuning these parameters, traders and investors can optimize the indicator to better match their specific trading style and risk tolerance.
Caterpillar SSA is versatile and can be applied to various types of financial instruments, such as stocks, bonds, commodities, and currencies. It can also be combined with other technical analysis tools or indicators to create a comprehensive trading system. For example, a trader might use Caterpillar SSA to identify the primary trend in a market and then employ additional indicators, such as moving averages or RSI, to confirm the trend and generate trading signals.
In summary, Caterpillar SSA is a powerful time series analysis technique that has found applications in AI and machine learning, as well as financial markets and economics. By decomposing a time series into interpretable components, Caterpillar SSA enables better understanding of the underlying structure of the data, facilitating forecasting, smoothing, and anomaly detection. In the context of financial trading, the technique is used to analyze price data, detect significant trends or turning points, and inform trading decisions.
█ Input Parameters
This indicator takes several inputs that affect its signal output. These inputs can be classified into three categories: Basic Settings, UI Options, and Computation Parameters.
Source: This input represents the source of price data, which is typically the closing price of an asset. The user can select other price data, such as opening price, high price, or low price. The selected price data is then utilized in the Caterpillar SSA calculation process.
Lag: The lag input determines the window size used for the time series decomposition. A higher lag value implies that the SSA algorithm will consider a longer range of historical data when extracting the underlying trend and components. This parameter is crucial, as it directly impacts the resulting smoothed series and the quality of extracted components.
Number of Computations: This input, denoted as 'ncomp,' specifies the number of eigencomponents to be considered in the reconstruction of the time series. A smaller value results in a smoother output signal, while a higher value retains more details in the series, potentially capturing short-term fluctuations.
SSA Period Normalization: This input is used to normalize the SSA period, which adjusts the significance of each eigencomponent to the overall signal. It helps in making the algorithm adaptive to different timeframes and market conditions.
Number of Bars: This input specifies the number of bars to be processed by the algorithm. It controls the range of data used for calculations and directly affects the computation time and the output signal.
Number of Bars to Render: This input sets the number of bars to be plotted on the chart. A higher value slows down the computation but provides a more comprehensive view of the indicator's performance over a longer period. This value controls how far back the indicator is rendered.
Color bars: This boolean input determines whether the bars should be colored according to the signal's direction. If set to true, the bars are colored using the defined colors, which visually indicate the trend direction.
Show signals: This boolean input controls the display of buy and sell signals on the chart. If set to true, the indicator plots shapes (triangles) to represent long and short trade signals.
Static Computation Parameters:
The indicator also includes several internal parameters that affect the Caterpillar SSA algorithm, such as Maxncomp, MaxLag, and MaxArrayLength. These parameters set the maximum allowed values for the number of computations, the lag, and the array length, ensuring that the calculations remain within reasonable limits and do not consume excessive computational resources.
█ A Note on Endpionted, Non-repainting Indicators
An endpointed indicator is one that does not recalculate or repaint its past values based on new incoming data. In other words, the indicator's previous signals remain the same even as new price data is added. This is an important feature because it ensures that the signals generated by the indicator are reliable and accurate, even after the fact.
When an indicator is non-repainting or endpointed, it means that the trader can have confidence in the signals being generated, knowing that they will not change as new data comes in. This allows traders to make informed decisions based on historical signals, without the fear of the signals being invalidated in the future.
In the case of the Endpointed SSA of Price, this non-repainting property is particularly valuable because it allows traders to identify trend changes and reversals with a high degree of accuracy, which can be used to inform trading decisions. This can be especially important in volatile markets where quick decisions need to be made.
Cari dalam skrip untuk "algo"
The Chartless TraderThe Chartless Trader
The chartless trader is a trade management system designed to remove the randomness from the market. It is loosely based on the martingales betting system, but takes advantage of position sizing, minimum profit targets, dollar cost averaging, and trailing take profit.
The chart can be traded with or without a signal. There is a built in signal based on SB Master Chart's Buy the Dip algorithm.
The configurable settings include:
Account Value
Starting Account Value - This is the value of the account when you start using this system.
Current Cash - This is the amount of cash you have available to trade. This setting needs to be updated each time a trade is made.
TP/TTP Algo Settings
Take Profit % - This setting is otherwise known as minimum profit target. This algo will not advise you to sell or increase your trailing stop until this minimum profit target is met.
Trailing Stop % - This is the trailing stop. The default setting is 75%. As a basic example, if the stock is up 10%, the trailing stop would be set to 7.5% (10% * 75%). The algo may override and advise an alternative trailing stop should an overbought condition be detected.
DCA/BTD Algo
DCA/BTD Algo Time Frame - Default is 120 (2hrs). This algo looks for oversold periods on the 2h chart by default.
DCA % - The default for this setting is 5%. This is a trigger for the BTD Algo. The BTD algo will start looking for trades when the stock is 5% below your cost basis. This is to help you average down making it easier to turn a profit when the stock starts making gains.
Position #
The Chartless Trader supports a maximum of 20 symbols. This is a limitation of the security() function as a maximum of 40 calls are allowed and the script calls the security() function twice per symbol.
S# QTY - The number of open positions of the symbol. This has to be manually updated by the user after each buy/sell of the stock.
S# CB - This is the cost basis of the stock. Your broker should give you this after each buy/sell and it has to be updated here on the chart after each buy/sell.
S# TTP - The script will advise you to increase your Trailing Take Profit in your broker when its necessary. This should be updated manually after you update your order in your broker. This should be configured manually in your broker as a Stop Order.
Now that I have covered the configurable options, its important to understand the basis of this system. The martingales betting system is a system that seeks to double its position size each time you enter a losing trade. Eventually when you make a winning trade, it will be enough to cover the previous losses and net you one winning position.
Bet 1, lose 1, down 1.
Bet 2, lose 2, down 3.
Bet 4, lose 4, down 7.
Bet 8, lost 8, down 15.
Bet 16, win 16, up 1.
So the theory goes, if you have deep enough pockets, its a 100% win rate. Such a system is flawed and proven to cause an account to blow up given enough time. You can search Google/YouTube for others that have back tested the martingales system with stocks.
I advise that "The Chartless Trading" system be traded with a similar system, but instead of doubling your position, you simply increase your position size by 1%.
Bet 1%, lose 1%, down 1%
Bet 1%, lose 1%, down 2%
Bet 1%, lose 1%, down 3%.
In such a manner, your risk of ruin is significantly reduced. Lets say you lose 10 times in a row betting on a stock. You now have 10% of your account value in this particular stock. Because you only invested at times where you were more than 5% down and when an oversold position occurred, because of dollar cost averaging and buying during oversold periods, you may only be down 2-3% on your invested value. Eventually when the stock turns positive, you will have met your minimum profit target and the script will alert you to set a trailing stop. You log into your broker, set a stop loss and wait for it to either trigger or inform you to increase it again. Once the trailing stop is triggered, you deleverage the position by closing it and starting a single new position in either the same stock or a different one and the cycle repeats.
The key is to follow the stock down, follow it back up, and not back down. We repeat this cycle with many positions in many stocks to minimize risk and compound our balance sheet.
This is " The Chartless Trader ".
1920x1080p Monitor Required if using all 20 symbols.
The more symbols loaded, the longer the initial processing to load the table. Please be patient.
Directional AnalyzerThis script attempts to equip users with the necessary information about the direction of an instrument, and essentially it is a synergy of 3 algorithms.
The first algorithm (plotted as dots at level 0) studies the balance of delta volatility that constitutes the current bar and answers if bulls or bears are in control at that exact bar time
The second algorithm (plotted as an area) studies the development of delta volatility over the defined period by means of a polynomial regression. Effectively, it provides an overall picture of the trend strength.
The third algorithm (plotted as a line with arrow labels) utilizes simple elements of neural network in conjunction with some custom filters to predict the focal point that a trend will reverse its direction. This is predictive in nature, hence always adopt this with caution. While the labels display the predicted direction, the colors of the line also reflect the state of the current bar as well, adding to the confirmation of the first algorithm.
May you be on the right side of the trade.
Anticipated Market TypeDisplays the anticipated market type based on the last 300 bars of data:
Trending Market: High probability that the next bar will be in the same direction as previous. Best conditions for a trend trading strategy
Neutral Market: High probability that price is random - the next bar direction is a coin toss. Many "typical" indicators fail in a random market
Sideways Market: High probability that price is autoregressive and the next bar direction is opposite the previous - compressed markets often have sudden fast breakouts
This tool does not give you entries and exits, but assists in deciding to use a Trend-following or Mean-reverting strategy.
Blue (3.5-6) indicates a trending market.
Yellow (0-2.5) indicates a sideways market.
Green (2.5-3.5) indicates a random market
This algorithm tells you when it breaks down by indicating a Neutral/Random market.
In short, it can't say the market type and advises you to not trade or simply use another tool in the meantime.
I personally use this tool to configure my trading robots on a weekly basis. I combine manual TA and stats algos to
try and determine what type of market the next week holds, with a fair bit of success.
The algorithms incorporated are Market Meanness Index (which I've made Open Source) and Fractal Dimension , a significantly faster algo than the MMI, but using a different set of maths.
Cheers!
MyAlgo EXTREMEPLEASE READ THE ENTIRE POST BEFORE PURCHASING & USING THE MyAlgo Tool. Saves you and me some time in emails and messages. :)
This is the official version of MyAlgo EXTREME
PLEASE UNDERSTAND THAT THIS IS A DIFFERENT AND SEPARATE PRODUCT AND SCRIPT FROM "MyAlgo SLIM" FROM THE MyAlgo TRADING TOOL SERIES
Description
Buy & Sell Alerts can be set on all Tickers. This includes, but is not limited to Crypto, Commodities , FOREX, Equities and Indices. Also all candle Types are compatible.
Recommended Time-frames - Due to the complexity of MyAlgo-SLIM the user has a choice between three algorithms and is like that able to trade on all timeframes with the highest returns.
MyAlgo combines many different aspects at the same time, scans multiple other Algorithms and comes to a conclusion based on over 1350 lines of code.
It is based on Divergences, Elliott Waves , Ichimoku , MACD , MACD Histogram, RSI , Stoch , CCI , Momentum, OBV, DIOSC, VWMACD, CMF and multiple EMAs.
Every single aspect is weighted into the decision before giving out an indication.
Most buy/sell Algorithms FAIL because they try to apply the same strategy to every single chart, which
are as individual as humans. To conquer this problem, MyAlgo has a wide range of settings and variables which can be easily
modified.
To make it a true strategy, MyAlgo has as well settings for Take Profit Points and Stop
Losses. Everything with an Alert Feature of course so that FULL AUTOMATION IS POSSIBLE.
I know from experience that many people take one Algorithm and are simply too LAZY to add multiple Algorithms to make a rational choice. The result of that is that they lose money, by following blatantly only one Algorithm.
MyAlgo has additional 15 Indicators, perfect for all markets, which can be turned on and off individually.
Side Notes
MyAlgo is being updated and upgraded very frequently to suit the requests of our customers.
This is not financial advice. Please read our disclaimer before using it.
Please refer to the signature field if you are interested in gaining access to this script.
Anything below this sentence will be Updates regarding MyAlgo
TopTenAlgo 3. Cursor Trend with SQZ MOM(Without Volume Ind.)EN: Indicator Trend is a momentum algorithm that measures the direction of the trend. It recalculates the Volume Weighted Moving Average and Tilson functions included with a certain frequency value according to the closing price and this trend helps us determine trend times. The size of the frequency correction motion. It Looks at the Logarithmic to functions. Is the zigzag of argument correction? otherwise it is a shortcut for a flat / flat correction . You can use the minus frequency value minus in zigzags, while it is handled with lower frequencies in flat or flat corrections . For symbols for which the Volume Indicator cannot be read.
This algorithm is prepared with @Top10Algo ... Improvements have been made regarding short periods.
TR: Gösterge Trend, trendin yönünü ölçen bir momentum algoritmasıdır. İçeriğinde bulunan Volume Weighted Moving Average ve Tilson fonksiyonlarını belli bir frekans değeri ile kapanış fiyatına göre yeniden hesaplar ve bu sayede trend değişim zamanlarını belirlememize yardımcı olur. Frekans değeri düzeltme hareketinin boyutuna göre değişiklik gösterir. Fonsiyonlara Logaritmik bakar.Frekans değerini belirlememizde yardımcı olan argüman düzeltmenin zigzag mı? yoksa yassı/flat bir düzeltmemi olacağını kestirmektir. Zigzaglarda frekans değeri eksi yönde daha fazla büyürken yassı yada flat düzeltmelerde daha düşük frekanslarla ele alınır. Hacim Göstergesinin okunamadığı semboller içindir.
Bu algoritma @Top10Algo ile beraber hazırlanmıştır... Kodlamadaki katkılarından ve yol göstericiliğinden dolayı teşekkürü bir borç bilirim. Kısa Periyotlar için iyileştirmeler yapıldı...
TopTenAlgo 3. Cursor Trend with SQZ MOM (Include Volume Ind.)EN: Indicator Trend is a momentum algorithm that measures the direction of the trend. It recalculates the Volume Weighted Moving Average and Tilson functions included with a certain frequency value according to the closing price and this trend helps us determine trend times. The size of the frequency correction motion. It Looks at the Logarithmic to functions. Is the zigzag of argument correction? otherwise it is a shortcut for a flat / flat correction . You can use the minus frequency value minus in zigzags, while it is handled with lower frequencies in flat or flat corrections .
This algorithm is prepared with @Top10Algo ... Improvements have been made regarding short periods.
TR: Gösterge Trend, trendin yönünü ölçen bir momentum algoritmasıdır. İçeriğinde bulunan Volume Weighted Moving Average ve Tilson fonksiyonlarını belli bir frekans değeri ile kapanış fiyatına göre yeniden hesaplar ve bu sayede trend değişim zamanlarını belirlememize yardımcı olur. Frekans değeri düzeltme hareketinin boyutuna göre değişiklik gösterir. Fonsiyonlara Logaritmik bakar.Frekans değerini belirlememizde yardımcı olan argüman düzeltmenin zigzag mı? yoksa yassı/flat bir düzeltmemi olacağını kestirmektir. Zigzaglarda frekans değeri eksi yönde daha fazla büyürken yassı yada flat düzeltmelerde daha düşük frekanslarla ele alınır.
Bu algoritma @Top10Algo ile beraber hazırlanmıştır... Kodlamadaki katkılarından ve yol göstericiliğinden dolayı teşekkürü bir borç bilirim. Kısa Periyotlar için iyileştirmeler yapıldı...
SMU Stock ThermometerThis script shows various technical indicators in a stacked vertical candle called Market Termometer.
It helps to see the price action in one single vertical column where the actual price moves up or down. So you can see the price change based on your custom setting levels.
I've been studying ALGO for over a year and made many live experiment trades long and shorts. So, I'm trying to find a way to see what is ALGos next move. If it sounds far-fetch, then you should see my other published scripts.
Here is example of how ALGo dance around old indicators, which is why I started creating a bunch of new indicators that ALGO doesn't know
Example:
Impact-driven-algorithm= Large volume masked as small volume to keep the price at desired level. So, your chart says overbought but market doesn't drop for days
Cost-driven-algorithm= Hedge fund buy every time at lower price and prevent others to buy low, moving up fast. Is like a clock with millisecond timing and ALGO owners know when to buy low and when to sell high
If you have a good idea, let me know so i can include it the future versions.
Enjoy and think outside the box, the only way to beat the ALGO
Langlands-Operadic Möbius Vortex (LOMV)Langlands-Operadic Möbius Vortex (LOMV)
Where Pure Mathematics Meets Market Reality
A Revolutionary Synthesis of Number Theory, Category Theory, and Market Dynamics
🎓 THEORETICAL FOUNDATION
The Langlands-Operadic Möbius Vortex represents a groundbreaking fusion of three profound mathematical frameworks that have never before been combined for market analysis:
The Langlands Program: Harmonic Analysis in Markets
Developed by Robert Langlands (Fields Medal recipient), the Langlands Program creates bridges between number theory, algebraic geometry, and harmonic analysis. In our indicator:
L-Function Implementation:
- Utilizes the Möbius function μ(n) for weighted price analysis
- Applies Riemann zeta function convergence principles
- Calculates quantum harmonic resonance between -2 and +2
- Measures deep mathematical patterns invisible to traditional analysis
The L-Function core calculation employs:
L_sum = Σ(return_val × μ(n) × n^(-s))
Where s is the critical strip parameter (0.5-2.5), controlling mathematical precision and signal smoothness.
Operadic Composition Theory: Multi-Strategy Democracy
Category theory and operads provide the mathematical framework for composing multiple trading strategies into a unified signal. This isn't simple averaging - it's mathematical composition using:
Strategy Composition Arity (2-5 strategies):
- Momentum analysis via RSI transformation
- Mean reversion through Bollinger Band mathematics
- Order Flow Polarity Index (revolutionary T3-smoothed volume analysis)
- Trend detection using Directional Movement
- Higher timeframe momentum confirmation
Agreement Threshold System: Democratic voting where strategies must reach consensus before signal generation. This prevents false signals during market uncertainty.
Möbius Function: Number Theory in Action
The Möbius function μ(n) forms the mathematical backbone:
- μ(n) = 1 if n is a square-free positive integer with even number of prime factors
- μ(n) = -1 if n is a square-free positive integer with odd number of prime factors
- μ(n) = 0 if n has a squared prime factor
This creates oscillating weights that reveal hidden market periodicities and harmonic structures.
🔧 COMPREHENSIVE INPUT SYSTEM
Langlands Program Parameters
Modular Level N (5-50, default 30):
Primary lookback for quantum harmonic analysis. Optimized by timeframe:
- Scalping (1-5min): 15-25
- Day Trading (15min-1H): 25-35
- Swing Trading (4H-1D): 35-50
- Asset-specific: Crypto 15-25, Stocks 30-40, Forex 35-45
L-Function Critical Strip (0.5-2.5, default 1.5):
Controls Riemann zeta convergence precision:
- Higher values: More stable, smoother signals
- Lower values: More reactive, catches quick moves
- High frequency: 0.8-1.2, Medium: 1.3-1.7, Low: 1.8-2.3
Frobenius Trace Period (5-50, default 21):
Galois representation lookback for price-volume correlation:
- Measures harmonic relationships in market flows
- Scalping: 8-15, Day Trading: 18-25, Swing: 25-40
HTF Multi-Scale Analysis:
Higher timeframe context prevents trading against major trends:
- Provides market bias and filters signals
- Improves win rates by 15-25% through trend alignment
Operadic Composition Parameters
Strategy Composition Arity (2-5, default 4):
Number of algorithms composed for final signal:
- Conservative: 4-5 strategies (higher confidence)
- Moderate: 3-4 strategies (balanced approach)
- Aggressive: 2-3 strategies (more frequent signals)
Category Agreement Threshold (2-5, default 3):
Democratic voting minimum for signal generation:
- Higher agreement: Fewer but higher quality signals
- Lower agreement: More signals, potential false positives
Swiss-Cheese Mixing (0.1-0.5, default 0.382):
Golden ratio φ⁻¹ based blending of trend factors:
- 0.382 is φ⁻¹, optimal for natural market fractals
- Higher values: Stronger trend following
- Lower values: More contrarian signals
OFPI Configuration:
- OFPI Length (5-30, default 14): Order Flow calculation period
- T3 Smoothing (3-10, default 5): Advanced exponential smoothing
- T3 Volume Factor (0.5-1.0, default 0.7): Smoothing aggressiveness control
Unified Scoring System
Component Weights (sum ≈ 1.0):
- L-Function Weight (0.1-0.5, default 0.3): Mathematical harmony emphasis
- Galois Rank Weight (0.1-0.5, default 0.2): Market structure complexity
- Operadic Weight (0.1-0.5, default 0.3): Multi-strategy consensus
- Correspondence Weight (0.1-0.5, default 0.2): Theory-practice alignment
Signal Threshold (0.5-10.0, default 5.0):
Quality filter producing:
- 8.0+: EXCEPTIONAL signals only
- 6.0-7.9: STRONG signals
- 4.0-5.9: MODERATE signals
- 2.0-3.9: WEAK signals
🎨 ADVANCED VISUAL SYSTEM
Multi-Dimensional Quantum Aura Bands
Five-layer resonance field showing market energy:
- Colors: Theme-matched gradients (Quantum purple, Holographic cyan, etc.)
- Expansion: Dynamic based on score intensity and volatility
- Function: Multi-timeframe support/resistance zones
Morphism Flow Portals
Category theory visualization showing market topology:
- Green/Cyan Portals: Bullish mathematical flow
- Red/Orange Portals: Bearish mathematical flow
- Size/Intensity: Proportional to signal strength
- Recursion Depth (1-8): Nested patterns for flow evolution
Fractal Grid System
Dynamic support/resistance with projected L-Scores:
- Multiple Timeframes: 10, 20, 30, 40, 50-period highs/lows
- Smart Spacing: Prevents level overlap using ATR-based minimum distance
- Projections: Estimated signal scores when price reaches levels
- Usage: Precise entry/exit timing with mathematical confirmation
Wick Pressure Analysis
Rejection level prediction using candle mathematics:
- Upper Wicks: Selling pressure zones (purple/red lines)
- Lower Wicks: Buying pressure zones (purple/green lines)
- Glow Intensity (1-8): Visual emphasis and line reach
- Application: Confluence with fractal grid creates high-probability zones
Regime Intensity Heatmap
Background coloring showing market energy:
- Black/Dark: Low activity, range-bound markets
- Purple Glow: Building momentum and trend development
- Bright Purple: High activity, strong directional moves
- Calculation: Combines trend, momentum, volatility, and score intensity
Six Professional Themes
- Quantum: Purple/violet for general trading and mathematical focus
- Holographic: Cyan/magenta optimized for cryptocurrency markets
- Crystalline: Blue/turquoise for conservative, stability-focused trading
- Plasma: Gold/magenta for high-energy volatility trading
- Cosmic Neon: Bright neon colors for maximum visibility and aggressive trading
📊 INSTITUTIONAL-GRADE DASHBOARD
Unified AI Score Section
- Total Score (-10 to +10): Primary decision metric
- >5: Strong bullish signals
- <-5: Strong bearish signals
- Quality ratings: EXCEPTIONAL > STRONG > MODERATE > WEAK
- Component Analysis: Individual L-Function, Galois, Operadic, and Correspondence contributions
Order Flow Analysis
Revolutionary OFPI integration:
- OFPI Value (-100% to +100%): Real buying vs selling pressure
- Visual Gauge: Horizontal bar chart showing flow intensity
- Momentum Status: SHIFTING, ACCELERATING, STRONG, MODERATE, or WEAK
- Trading Application: Flow shifts often precede major moves
Signal Performance Tracking
- Win Rate Monitoring: Real-time success percentage with emoji indicators
- Signal Count: Total signals generated for frequency analysis
- Current Position: LONG, SHORT, or NONE with P&L tracking
- Volatility Regime: HIGH, MEDIUM, or LOW classification
Market Structure Analysis
- Möbius Field Strength: Mathematical field oscillation intensity
- CHAOTIC: High complexity, use wider stops
- STRONG: Active field, normal position sizing
- MODERATE: Balanced conditions
- WEAK: Low activity, consider smaller positions
- HTF Trend: Higher timeframe bias (BULL/BEAR/NEUTRAL)
- Strategy Agreement: Multi-algorithm consensus level
Position Management
When in trades, displays:
- Entry Price: Original signal price
- Current P&L: Real-time percentage with risk level assessment
- Duration: Bars in trade for timing analysis
- Risk Level: HIGH/MEDIUM/LOW based on current exposure
🚀 SIGNAL GENERATION LOGIC
Balanced Long/Short Architecture
The indicator generates signals through multiple convergent pathways:
Long Entry Conditions:
- Score threshold breach with algorithmic agreement
- Strong bullish order flow (OFPI > 0.15) with positive composite signal
- Bullish pattern recognition with mathematical confirmation
- HTF trend alignment with momentum shifting
- Extreme bullish OFPI (>0.3) with any positive score
Short Entry Conditions:
- Score threshold breach with bearish agreement
- Strong bearish order flow (OFPI < -0.15) with negative composite signal
- Bearish pattern recognition with mathematical confirmation
- HTF trend alignment with momentum shifting
- Extreme bearish OFPI (<-0.3) with any negative score
Exit Logic:
- Score deterioration below continuation threshold
- Signal quality degradation
- Opposing order flow acceleration
- 10-bar minimum between signals prevents overtrading
⚙️ OPTIMIZATION GUIDELINES
Asset-Specific Settings
Cryptocurrency Trading:
- Modular Level: 15-25 (capture volatility)
- L-Function Precision: 0.8-1.3 (reactive to price swings)
- OFPI Length: 10-20 (fast correlation shifts)
- Cascade Levels: 5-7, Theme: Holographic
Stock Index Trading:
- Modular Level: 25-35 (balanced trending)
- L-Function Precision: 1.5-1.8 (stable patterns)
- OFPI Length: 14-20 (standard correlation)
- Cascade Levels: 4-5, Theme: Quantum
Forex Trading:
- Modular Level: 35-45 (smooth trends)
- L-Function Precision: 1.6-2.1 (high smoothing)
- OFPI Length: 18-25 (disable volume amplification)
- Cascade Levels: 3-4, Theme: Crystalline
Timeframe Optimization
Scalping (1-5 minute charts):
- Reduce all lookback parameters by 30-40%
- Increase L-Function precision for noise reduction
- Enable all visual elements for maximum information
- Use Small dashboard to save screen space
Day Trading (15 minute - 1 hour):
- Use default parameters as starting point
- Adjust based on market volatility
- Normal dashboard provides optimal information density
- Focus on OFPI momentum shifts for entries
Swing Trading (4 hour - Daily):
- Increase lookback parameters by 30-50%
- Higher L-Function precision for stability
- Large dashboard for comprehensive analysis
- Emphasize HTF trend alignment
🏆 ADVANCED TRADING STRATEGIES
The Mathematical Confluence Method
1. Wait for Fractal Grid level approach
2. Confirm with projected L-Score > threshold
3. Verify OFPI alignment with direction
4. Enter on portal signal with quality ≥ STRONG
5. Exit on score deterioration or opposing flow
The Regime Trading System
1. Monitor Aether Flow background intensity
2. Trade aggressively during bright purple periods
3. Reduce position size during dark periods
4. Use Möbius Field strength for stop placement
5. Align with HTF trend for maximum probability
The OFPI Momentum Strategy
1. Watch for momentum shifting detection
2. Confirm with accelerating flow in direction
3. Enter on immediate portal signal
4. Scale out at Fibonacci levels
5. Exit on flow deceleration or reversal
⚠️ RISK MANAGEMENT INTEGRATION
Mathematical Position Sizing
- Use Galois Rank for volatility-adjusted sizing
- Möbius Field strength determines stop width
- Fractal Dimension guides maximum exposure
- OFPI momentum affects entry timing
Signal Quality Filtering
- Trade only STRONG or EXCEPTIONAL quality signals
- Increase position size with higher agreement levels
- Reduce risk during CHAOTIC Möbius field periods
- Respect HTF trend alignment for directional bias
🔬 DEVELOPMENT JOURNEY
Creating the LOMV was an extraordinary mathematical undertaking that pushed the boundaries of what's possible in technical analysis. This indicator almost didn't happen. The theoretical complexity nearly proved insurmountable.
The Mathematical Challenge
Implementing the Langlands Program required deep research into:
- Number theory and the Möbius function
- Riemann zeta function convergence properties
- L-function analytical continuation
- Galois representations in finite fields
The mathematical literature spans decades of pure mathematics research, requiring translation from abstract theory to practical market application.
The Computational Complexity
Operadic composition theory demanded:
- Category theory implementation in Pine Script
- Multi-dimensional array management for strategy composition
- Real-time democratic voting algorithms
- Performance optimization for complex calculations
The Integration Breakthrough
Bringing together three disparate mathematical frameworks required:
- Novel approaches to signal weighting and combination
- Revolutionary Order Flow Polarity Index development
- Advanced T3 smoothing implementation
- Balanced signal generation preventing directional bias
Months of intensive research culminated in breakthrough moments when the mathematics finally aligned with market reality. The result is an indicator that reveals market structure invisible to conventional analysis while maintaining practical trading utility.
🎯 PRACTICAL IMPLEMENTATION
Getting Started
1. Apply indicator with default settings
2. Select appropriate theme for your markets
3. Observe dashboard metrics during different market conditions
4. Practice signal identification without trading
5. Gradually adjust parameters based on observations
Signal Confirmation Process
- Never trade on score alone - verify quality rating
- Confirm OFPI alignment with intended direction
- Check fractal grid level proximity for timing
- Ensure Möbius field strength supports position size
- Validate against HTF trend for bias confirmation
Performance Monitoring
- Track win rate in dashboard for strategy assessment
- Monitor component contributions for optimization
- Adjust threshold based on desired signal frequency
- Document performance across different market regimes
🌟 UNIQUE INNOVATIONS
1. First Integration of Langlands Program mathematics with practical trading
2. Revolutionary OFPI with T3 smoothing and momentum detection
3. Operadic Composition using category theory for signal democracy
4. Dynamic Fractal Grid with projected L-Score calculations
5. Multi-Dimensional Visualization through morphism flow portals
6. Regime-Adaptive Background showing market energy intensity
7. Balanced Signal Generation preventing directional bias
8. Professional Dashboard with institutional-grade metrics
📚 EDUCATIONAL VALUE
The LOMV serves as both a practical trading tool and an educational gateway to advanced mathematics. Traders gain exposure to:
- Pure mathematics applications in markets
- Category theory and operadic composition
- Number theory through Möbius function implementation
- Harmonic analysis via L-function calculations
- Advanced signal processing through T3 smoothing
⚖️ RESPONSIBLE USAGE
This indicator represents advanced mathematical research applied to market analysis. While the underlying mathematics are rigorously implemented, markets remain inherently unpredictable.
Key Principles:
- Use as part of comprehensive trading strategy
- Implement proper risk management at all times
- Backtest thoroughly before live implementation
- Understand that past performance does not guarantee future results
- Never risk more than you can afford to lose
The mathematics reveal deep market structure, but successful trading requires discipline, patience, and sound risk management beyond any indicator.
🔮 CONCLUSION
The Langlands-Operadic Möbius Vortex represents a quantum leap forward in technical analysis, bringing PhD-level pure mathematics to practical trading while maintaining visual elegance and usability.
From the harmonic analysis of the Langlands Program to the democratic composition of operadic theory, from the number-theoretic precision of the Möbius function to the revolutionary Order Flow Polarity Index, every component works in mathematical harmony to reveal the hidden order within market chaos.
This is more than an indicator - it's a mathematical lens that transforms how you see and understand market structure.
Trade with mathematical precision. Trade with the LOMV.
*"Mathematics is the language with which God has written the universe." - Galileo Galilei*
*In markets, as in nature, profound mathematical beauty underlies apparent chaos. The LOMV reveals this hidden order.*
— Dskyz, Trade with insight. Trade with anticipation.
Kijun Shifting Band Oscillator | QuantMAC🎯 Kijun Shifting Band Oscillator | QuantMAC
📊 **Revolutionary Technical Analysis Tool Combining Ancient Ichimoku Wisdom with Cutting-Edge Statistical Methods**
🌟 Overview
The Kijun Shifting Band Oscillator represents a sophisticated fusion of traditional Japanese technical analysis and modern statistical theory. Built upon the foundational concepts of the Ichimoku Kinko Hyo system, this indicator transforms the classic Kijun-sen (base line) into a dynamic, multi-dimensional analysis tool that provides traders with unprecedented market insights.
This advanced oscillator doesn't just show you where price has been – it reveals the underlying momentum dynamics and volatility patterns that drive market movements, giving you a statistical edge in your trading decisions.
🔥 Key Features & Innovations
Dual Trading Modes for Maximum Flexibility: 🚀
Long/Short Mode: Full bidirectional trading capability for aggressive traders seeking to capitalize on both bullish and bearish market conditions
Long/Cash Mode: Conservative approach perfect for risk-averse traders, taking long positions during uptrends and moving to cash during downtrends (avoiding short exposure)
Advanced Visual Intelligence: 🎨
9 Professional Color Schemes: From classic blue/navy to vibrant orange/purple combinations, each optimized for different chart backgrounds and personal preferences
Dynamic Gradient Histogram: Color intensity reflects oscillator strength, providing instant visual feedback on momentum magnitude
Intelligent Overlay Bands: Semi-transparent fills create clear visual boundaries without cluttering your chart
Smart Candle Coloring: Real-time color changes reflect current market state and trend direction
Customizable Threshold Lines: Clearly marked entry and exit levels with contrasting colors
Professional-Grade Analytics: 📊
Real-Time Performance Metrics: Live calculation of 9 key performance indicators
Risk-Adjusted Returns: Sharpe, Sortino, and Omega ratios for comprehensive performance evaluation
Position Sizing Guidance: Half-Kelly percentage for optimal risk management
Drawdown Analysis: Maximum drawdown tracking for risk assessment
📈 Deep Technical Foundation
Kijun-Based Mathematical Framework: 🧮
The indicator begins with the traditional Kijun-sen calculation but extends it significantly:
Statistical Enhancements: 📉
Adaptive Volatility: Bands expand and contract based on market volatility
Momentum Filtering: EMA smoothing of oscillator for trend confirmation
State Management: Intelligent signal filtering prevents whipsaws and false signals
Multi-Timeframe Compatibility: Optimized algorithms work across all timeframes
⚙️ Comprehensive Parameter Control
Kijun Core Settings: 🎛️
Kijun Length (Default: 30): Controls the lookback period for the base calculation. Shorter periods = more responsive, longer periods = smoother signals
Source Selection: Choose from Close, Open, High, Low, or HL2. Close price recommended for most applications
Calculation Method: Uses traditional Ichimoku methodology ensuring compatibility with classic analysis
Advanced Oscillator Configuration: 📊
Standard Deviation Length (Default: 36): Determines volatility measurement period. Affects band width and sensitivity
SD Multiplier (Default: 2.1): Fine-tune band distance from basis line. Higher values = wider bands, lower values = tighter bands
Oscillator Multiplier (Default: 100): Scales the final oscillator output. Useful for matching other indicators or personal preference
Smoothing Algorithm: Built-in EMA smoothing prevents noise while maintaining responsiveness
Signal Threshold Optimization: 🎯
Long Threshold (Default: 83): Oscillator level that triggers long entries. Higher values = fewer but stronger signals
Short Threshold (Default: 42): Oscillator level that triggers short entries. Lower values = fewer but stronger signals
Threshold Logic: Crossover-based system with state management prevents signal overlap
Customization Range: Fully adjustable to match your trading style and risk tolerance
Precision Date Control: 📅
Start Date/Month/Year: Precise backtesting control down to the day
Historical Analysis: Test strategies on specific market periods or events
Strategy Validation: Isolate performance during different market conditions
📊 Professional Metrics Dashboard
Risk Assessment Metrics: 💼
Maximum Drawdown %: Largest peak-to-trough decline in portfolio value. Critical for understanding worst-case scenarios and position sizing
Sortino Ratio: Risk-adjusted return measure focusing only on downside volatility. Superior to Sharpe ratio for asymmetric return distributions
Sharpe Ratio: Classic risk-adjusted performance metric. Values above 1.0 considered good, above 2.0 excellent
Omega Ratio: Probability-weighted ratio capturing all moments of return distribution. More comprehensive than Sharpe or Sortino
Performance Analytics: 📈
Profit Factor: Gross Profit ÷ Gross Loss. Values above 1.0 indicate profitability, above 2.0 considered excellent
Win Rate %: Percentage of profitable trades. Consider alongside average win/loss size for complete picture
Net Profit %: Total return on initial capital. Accounts for compounding effects
Total Trades: Sample size for statistical significance assessment
Advanced Position Sizing: 🎯
Half Kelly %: Optimal position size based on Kelly Criterion, reduced by 50% for safety margin
Risk Management: Helps determine appropriate position size relative to account equity
Mathematical Foundation: Based on win probability and profit factor calculations
Practical Application: Directly usable percentage for position sizing decisions
🎨 Advanced Display Options
Flexible Interface Design: 🖥️
6 Positioning Options: Top/Bottom/Middle × Left/Right combinations for optimal chart organization
Toggle Functionality: Show/hide metrics table for clean chart presentation during analysis
Color Coordination: Metrics table colors match selected oscillator color scheme
Professional Styling: Clean, readable format with proper spacing and alignment
Visual Hierarchy: 🎭
Oscillator Histogram: Primary focus with gradient intensity showing momentum strength
Threshold Lines: Clear horizontal references for entry/exit levels
Zero Line: Neutral reference point for trend bias determination
Background Bands: Subtle overlay context without chart clutter
🚀 Advanced Signal Generation System
Multi-Layer Signal Logic: ⚡
Primary Signal Generation: Oscillator crossover above Long Threshold (default 83) triggers long entries
Exit Signal Processing: Oscillator crossunder below Short Threshold (default 42) triggers position exits
State Management System: Prevents duplicate signals and ensures clean position transitions
Mode-Specific Logic: Different behavior for Long/Short vs Long/Cash modes
Date Range Filtering: Signals only generated within specified backtesting period
Confirmation Requirements: Bar confirmation prevents false signals from intrabar price spikes
Intelligent Position Management: 🧠
Entry Tracking: Precise entry price recording for accurate P&L calculations
Position State Monitoring: Continuous tracking of long/short/cash positions
Automatic Exit Logic: Seamless position closure and new position initiation
Performance Calculation: Real-time P&L tracking with compounding effects
📉📈 Comprehensive Band Interpretation Guide
Dynamic Band Analysis: 🔍
Upper Band Function: Represents dynamic resistance based on recent volatility. Price approaching upper band suggests potential reversal or breakout
Lower Band Function: Represents dynamic support with volatility adjustment. Price near lower band indicates oversold conditions or support testing
Middle Line (Basis): Trend direction indicator. Price above = bullish bias, price below = bearish bias
Band Width Interpretation: Wide bands = high volatility, narrow bands = low volatility/potential breakout setup
Band Slope Analysis: Rising bands = strengthening trend, falling bands = weakening trend
Oscillator Interpretation: 📊
Values Above 50: Price in upper half of recent range, bullish momentum
Values Below 50: Price in lower half of recent range, bearish momentum
Extreme Values (>80 or <20): Overbought/oversold conditions, potential reversal zones
Momentum Divergence: Oscillator direction vs price direction for early reversal signals
Trend Confirmation: Oscillator direction confirming or contradicting price trends
💡 Strategic Trading Applications
Primary Trading Strategies: 🎯
Trend Following: Use threshold crossovers to capture major directional moves. Best in trending markets with clear directional bias
Mean Reversion: Identify extreme oscillator readings for counter-trend opportunities. Effective in range-bound markets
Breakout Trading: Monitor band compressions followed by expansions for breakout signals
Swing Trading: Combine oscillator signals with band interactions for swing position entries/exits
Risk Management: Use metrics dashboard for position sizing and risk assessment
Market Condition Optimization: 🌊
Trending Markets: Increase threshold separation for fewer, stronger signals
Choppy Markets: Decrease threshold separation for more responsive signals
High Volatility: Increase SD multiplier for wider bands
Low Volatility: Decrease SD multiplier for tighter bands and earlier signals
⚙️ Advanced Configuration Tips
Parameter Optimization Guidelines: 🔧
Kijun Length Adjustment: Shorter periods (10-20) for faster signals, longer periods (50-100) for smoother trends
SD Length Tuning: Match to your trading timeframe - shorter for responsive, longer for stability
Threshold Calibration: Backtest different levels to find optimal entry/exit points for your market
Color Scheme Selection: Choose schemes that provide best contrast with your chart background and other indicators
Integration with Other Indicators: 🔗
Volume Indicators: Confirm oscillator signals with volume spikes
Support/Resistance: Use key levels to filter oscillator signals
Momentum Indicators: RSI, MACD confirmation for signal strength
Trend Indicators: Moving averages for overall trend bias confirmation
⚠️ Important Usage Notes & Limitations
Indicator Characteristics: ⚡
Lagging Nature: Based on historical price data - signals occur after moves have begun
Best Practice: Combine with leading indicators and price action analysis
Market Dependency: Performance varies across different market conditions and instruments
Backtesting Essential: Always validate parameters on historical data before live implementation
Optimization Recommendations: 🎯
Parameter Testing: Systematically test different combinations on your preferred instruments
Walk-Forward Analysis: Regularly re-optimize parameters to maintain effectiveness
Market Regime Awareness: Adjust parameters for different market conditions (trending vs ranging)
Risk Controls: Implement maximum drawdown limits and position size controls
🔧 Technical Specifications
Performance Optimization: ⚡
Efficient Algorithms: Optimized calculations for smooth real-time operation
Memory Management: Smart array handling for metrics calculations
Visual Optimization: Balanced detail vs performance for responsive charts
Multi-Symbol Ready: Consistent performance across different assets
---
The Kijun Shifting Band Oscillator represents the evolution of technical analysis, bridging the gap between traditional methods and modern quantitative approaches. This indicator provides traders with a comprehensive toolkit for market analysis, combining the intuitive wisdom of Japanese candlestick analysis with the precision of statistical mathematics.
🎯 Designed for serious traders who demand professional-grade analysis tools with institutional-quality metrics and risk management capabilities. Whether you're a discretionary trader seeking visual confirmation or a systematic trader building quantitative strategies, this indicator provides the foundation for informed trading decisions.
⚠️ IMPORTANT DISCLAIMER
Past Performance Warning: 📉⚠️
PAST PERFORMANCE IS NOT INDICATIVE OF FUTURE RESULTS. Historical backtesting results, while useful for strategy development and parameter optimization, do not guarantee similar performance in live trading conditions. Market conditions change continuously, and what worked in the past may not work in the future.
Remember: Successful trading requires discipline, continuous learning, and adaptation to changing market conditions. No indicator or strategy guarantees profits, and all trading involves substantial risk of loss.
ICT Opening Range Projections (tristanlee85)ICT Opening Range Projections
This indicator visualizes key price levels based on ICT's (Inner Circle Trader) "Opening Range" concept. This 30-minute time interval establishes price levels that the algorithm will refer to throughout the session. The indicator displays these levels, including standard deviation projections, internal subdivisions (quadrants), and the opening price.
🟪 What It Does
The Opening Range is a crucial 30-minute window where market algorithms establish significant price levels. ICT theory suggests this range forms the basis for daily price movement.
This script helps you:
Mark the high, low, and opening price of each session.
Divide the range into quadrants (premium, discount, and midpoint/Consequent Encroachment).
Project potential price targets beyond the range using configurable standard deviation multiples .
🟪 How to Use It
This tool aids in time-based technical analysis rooted in ICT's Opening Range model, helping you observe price interaction with algorithmic levels.
Example uses include:
Identifying early structural boundaries.
Observing price behavior within premium/discount zones.
Visualizing initial displacement from the range to anticipate future moves.
Comparing price reactions at projected standard deviation levels.
Aligning price action with significant times like London or NY Open.
Note: This indicator provides a visual framework; it does not offer trade signals or interpretations.
🟪 Key Information
Time Zone: New York time (ET) is required on your chart.
Sessions: Supports multiple sessions, including NY midnight, NY AM, NY PM, and three custom timeframes.
Time Interval: Supports multi-timeframe up to 15 minutes. Best used on a 1-minute chart for accuracy.
🟪 Session Options
The Opening Range interval is configurable for up to 6 sessions:
Pre-defined ICT Sessions:
NY Midnight: 12:00 AM – 12:30 AM ET
NY AM: 9:30 AM – 10:00 AM ET
NY PM: 1:30 PM – 2:00 PM ET
Custom Sessions:
Three user-defined start/end time pairs.
This example shows a custom session from 03:30 - 04:00:
🟪 Understanding the Levels
The Opening Price is the open of the first 1-minute candle within the chosen session.
At session close, the Opening Range is calculated using its High and Low . An optional swing-based mode uses swing highs/lows for range boundaries.
The range is divided into quadrants by its midpoint ( Consequent Encroachment or CE):
Upper Quadrant: CE to high (premium).
Lower Quadrant: Low to CE (discount).
These subdivisions help visualize internal range dynamics, where price often reacts during algorithmic delivery.
🟪 Working with Ranges
By default, the range is determined by the highest high and lowest low of the 30-minute session:
A range can also be determined by the highest/lowest swing points:
Quadrants outline the premium and discount of a range that price will reference:
Small ranges still follow the same algorithmic logic, but may be deemed insignificant for one's trading. These can be filtered in the settings by specifying a minimum ticks limit. In this example, the range is 42 ticks (10.5 points) but the indicator is configured for 80 ticks (20 points). We can select which levels will plot if the range is below the limit. Here, only the 00:00 opening price is plotted:
You may opt to include the range high/low, quadrants, and projections as well. This will plot a red (configurable) range bracket to indicate it is below the limit while plotting the levels:
🟪 Price Projections
Projections extend beyond the Opening Range using standard deviations, framing the market beyond the initial session and identifying potential targets. You define the standard deviation multiples (e.g., 1.0, 1.5, 2.0).
Both positive and negative extensions are displayed, symmetrically projected from the range's high and low.
The Dynamic Levels option plots only the next projection level once price crosses the previous extreme. For example, only the 0.5 STDEV level plots until price reaches it, then the 1.0 level appears, and so on. This continues up to your defined maximum projections, or indefinitely if standard deviations are set to 0.
This example shows dynamic levels for a total of 6 sessions, only 1 of which meet a configured minimum limit of 50 ticks:
Small ranges followed by significant displacement are impacted the most with the number of levels plotted. You may hide projections when configuring the minimum ticks.
A fixed standard deviation will plot levels in both directions, regardless of the price range. Here, we plot up to 3.0 which hiding projections for small ranges:
🟪 Legal Disclaimer
This indicator is provided for informational and educational purposes only. It is not financial advice, and should not be construed as a recommendation to buy or sell any financial instrument. Trading involves substantial risk, and you could lose a significant amount of money. Past performance is not indicative of future results. Always consult with a qualified financial professional before making any trading or investment decisions. The creators and distributors of this indicator assume no responsibility for your trading outcomes.
Quick Analysis [ProjeAdam]OVERVIEW:
The Quick Analysis indicator is a multi-symbol technical screener that aggregates key indicator values—RSI, TSI, ADX, and Supertrend—for up to 30 different symbols. It displays the data on a customizable dashboard table overlaid on the chart, enabling traders to quickly compare market conditions across multiple assets.
ALGORITHM:
1. Initialization and Input Setup
The script sets the indicator’s title, short title, and overlay option.
It configures the dashboard table by allowing users to toggle its display, set its position (e.g., Bottom Right), and choose its size.
Input parameters for the technical indicators (RSI, TSI, ADX, Supertrend) are defined.
Up to 30 symbols are provided with toggle options so that users can select which ones to include in the analysis.
2. Technical Indicator Calculations
Custom functions are defined to smooth data for TSI (using double EMA smoothing) and to calculate ADX based on directional movements.
The main function, which runs on each symbol via request.security, computes:
RSI based on the close price.
TSI using the change in price and smoothing techniques.
ADX by comparing positive and negative directional movements.
Supertrend to signal market direction changes.
3. Data Aggregation and Matrix Formation
A matrix is created to store the aggregated values (price, RSI, TSI, ADX, Supertrend) for each symbol.
For each enabled symbol, a custom function retrieves the current indicator values and adds them as a row to the matrix.
4. Table Visualization and Dynamic Updates
A dashboard table is initialized with user-defined location and size settings.
The table headers include “SYMBOL”, “PRICE”, “RSI”, “TSI”, “ADX”, and “Supertrend”.
For every row in the matrix, the table is updated with the corresponding data:
The symbol code is extracted and displayed.
The current price and computed indicator values are shown.
Conditional formatting is applied (RSI and TSI cells change color based on threshold levels, Supertrend is marked with “Down 📛” or “Up 🚀”).
5. Real-Time Data Updates
The table refreshes on every new bar, ensuring that the displayed data remains current and reflects the latest market conditions across the selected symbols.
INDICATOR SUMMARY: RSI, TSI, ADX, and Supertrend
RSI (Relative Strength Index): Measures the speed and change of price movements, oscillating between 0 and 100. Typically, values above 70 indicate overbought conditions, while values below 35 indicate oversold conditions.
TSI (True Strength Index): Uses double EMA smoothing to measure price momentum and helps identify trend strength and potential reversal points.
ADX (Average Directional Index): Measures the strength of a trend, regardless of its direction. Higher values suggest a strong trend, while lower values indicate a weak trend.
Supertrend: A trend-following indicator based on the Average True Range (ATR) that identifies the market direction and potential support/resistance levels. It typically displays visual signals such as “Up 🚀” or “Down 📛.”
HOW DOES THE INDICATOR WORK?
Data Gathering: Uses TradingView’s security function to request real-time data for multiple symbols simultaneously.
Indicator Computation: For each symbol, the script calculates RSI, TSI, ADX, and Supertrend using a blend of built-in Pine Script functions and custom smoothing algorithms.
Visualization: A dynamically updated table displays the results with conditional colors and symbols for immediate visual cues on market trends and potential trade signals.
SETTINGS PANEL
Dashboard Configuration: Options to toggle the Trend Table, select its position, and determine the table size.
Indicator Parameters: Customizable settings for RSI (length, overbought/oversold levels), TSI (smoothing lengths and thresholds), ADX (smoothing and DI length), and Supertrend (ATR length and factor).
Symbol Management: Enable/disable switches for each of the 30 symbols along with symbol input fields, allowing users to choose which assets to analyze.
BENEFITS OF THE QUICK ANALYSIS INDICATOR
Comprehensive Market Overview:
Aggregates key technical metrics for multiple symbols on a single chart.
Customizability and Flexibility:
Fully configurable dashboard and indicator settings allow tailoring to various trading strategies.
Time Efficiency:
Automates the process of monitoring multiple assets, saving traders time and effort.
Visual Clarity:
Conditional color coding and clear table formatting provide immediate insights into market conditions.
Enhanced Multi-Market Analysis:
The ability to toggle and compare up to 30 different symbols supports diversified market evaluation.
CUSTOMIZATION
Users can modify indicator periods, thresholds, and table aesthetics through the input panel.
The symbol selection mechanism enables dynamic analysis across various markets, facilitating comparative insights and strategic decision-making.
CONCLUSION
The Quick Analysis indicator serves as a powerful, multi-symbol screener for traders by consolidating crucial technical indicators into a single, easy-to-read dashboard. Its dynamic updates, extensive customization options, and clear visual representation make it an essential tool for real-time market analysis.
If you have any ideas to further enhance this tool—whether by integrating additional sources, refining calculations, or adding new features—please feel free to suggest them in DM.
CandelaCharts - OHLC Range Map 📝 Overview
Explore the intricate art of candlestick analysis with the OHLC Range Map!
Elevate your TradingView experience by integrating this dynamic tool into your trading strategies with actionable insights. This cutting-edge indicator transcends standard OHLC visuals, leveraging Inner Circle Trader (ICT) concepts to dissect accumulation, manipulation, and distribution on a candle-by-candle basis.
ICT traders recognize manipulation through the wick extending opposite the candle’s close. This movement often serves to mislead market participants into taking positions in the "wrong" direction, signaling potential manipulation legs. Analysts can use these insights to anticipate a candle’s distribution phase. During distribution, price extends to higher or lower levels, offering key clues for identifying liquidity draws, potential retracements, or reversals.
These levels offer valuable insights into order flow, highlighting how price interacts with them and the sequence of its delivery.
To enhance price mapping, the tool also charts the average timing for the completion of manipulation and distribution phases. This feature empowers traders to combine historical timing patterns with the price levels associated with manipulation and distribution for a deeper analysis.
Like all tools based on historical data, this indicator does not guarantee that past patterns will replicate in future market conditions. Designed with a data-driven edge, it highlights moments when candles are likely to reverse following manipulation phases or retrace after completing defined distributions, helping analysts spot potential turning points.
📦 Features
This tool offers a range of powerful features to enhance your trading analysis:
Average Range Accuracy : Simplify candlestick analysis with advanced lines and labels to pinpoint manipulation, distribution, and time pivots. Graph average ranges for your chosen timeframe to navigate market volatility and uncover key support and resistance zones.
Custom Timeframe Selection : Align your analysis with your trading strategy by choosing a timeframe that highlights the candle’s manipulation, distribution, and key timing.
Real-time Data Feed : Stay updated with live candlestick stats, with each new candle updating OHLC data and performing ongoing historical calculations, even on sub-minute timeframes.
Historical Mapping : Backtest past market scenarios with ease using the historical mapping feature. Traders can revisit and analyze previous data, refine strategies, and customize label displays for journaling flexibility.
User-Friendly Interface : Designed for advanced traders, the intuitive interface allows easy navigation and customization of display settings, offering a personalized experience for data-driven analysis.
⚙️ Settings
Timeframe: Sets the timeframe to which will be drawn.
Period: Controls period length in days.
Algorithm: Sets the desired calculation algorithm.
History: Display Range Map drawings for previous sessions.
Timezone: Dsiplay the data based on the selected timezone.
Use NY Midnight Open: Controls from where a Range Map will start detection.
Opn: Style for Open line.
Man: Style for Manipulation line.
Dis: Style for Distribution line.
Time: Style for Timeline.
Labels: Controls the size and abbreviations.
Line Position: Manage the Range Map line position
Table Position: Manage the Range Map table position
⚡️ Showcase
Here’s a visual showcase of the tool in action, highlighting its key features and capabilities:
Manipilation & Distribution
Time
📒 Usage
Here’s how you can use the OHLC Range Map to enhance your analysis:
Add OHLC Range Map to your Tradingview chart.
Select a timeframe and customize the styles to fit your preferences.
Watch as calculated manipulation, distribution, and delivery times align with your analysis.
Combine this data with other models and insights to strengthen your trading strategy.
Example 1
Example 2
By following these steps, you'll unlock powerful insights to refine and elevate your trading strategies.
🔹 Notes
On Bullish candles:
Manipulation: Open - Low
Distribution: Open - High
On Bearish candles:
Manipulation: Open - High
Distribution: Open - Low
Available calculation methods:
Mean
Median
Price patterns on OHLC Range Map:
Open - -Man - +Dis
Open - -Man - Open - +Dis
Open - -Man - +Man - +Dis
Open - -Man - +Man - -Dis
Open - +Man - -Dis
Open - +Man - Open - -Dis
Open - +Man - -Man - -Dis
Open - +Man - -Man - +Dis
🚨 Alerts
The indicator does not provide any alerts!
⚠️ Disclaimer
These tools are exclusively available on the TradingView platform.
Our charting tools are intended solely for informational and educational purposes and should not be regarded as financial, investment, or trading advice. They are not designed to predict market movements or offer specific recommendations. Users should be aware that past performance is not indicative of future results and should not rely on these tools for financial decisions. By using these charting tools, the purchaser agrees that the seller and creator hold no responsibility for any decisions made based on information provided by the tools. The purchaser assumes full responsibility and liability for any actions taken and their consequences, including potential financial losses or investment outcomes that may result from the use of these products.
By purchasing, the customer acknowledges and accepts that neither the seller nor the creator is liable for any undesired outcomes stemming from the development, sale, or use of these products. Additionally, the purchaser agrees to indemnify the seller from any liability. If invited through the Friends and Family Program, the purchaser understands that any provided discount code applies only to the initial purchase of Candela's subscription. The purchaser is responsible for canceling or requesting cancellation of their subscription if they choose not to continue at the full retail price. In the event the purchaser no longer wishes to use the products, they must unsubscribe from the membership service, if applicable.
We do not offer reimbursements, refunds, or chargebacks. Once these Terms are accepted at the time of purchase, no reimbursements, refunds, or chargebacks will be issued under any circumstances.
By continuing to use these charting tools, the user confirms their understanding and acceptance of these Terms as outlined in this disclaimer.
Prediction Based on Linreg & Atr
We created this algorithm with the goal of predicting future prices 📊, specifically where the value of any asset will go in the next 20 periods ⏳. It uses linear regression based on past prices, calculating a slope and an intercept to forecast future behavior 🔮. This prediction is then adjusted according to market volatility, measured by the ATR 📉, and the direction of trend signals, which are based on the MACD and moving averages 📈.
How Does the Linreg & ATR Prediction Work?
1. Trend Calculation and Signals:
o Technical Indicators: We use short- and long-term exponential moving averages (EMA), RSI, MACD, and Bollinger Bands 📊 to assess market direction and sentiment (not visually presented in the script).
o Calculation Functions: These include functions to calculate slope, average, intercept, standard deviation, and Pearson's R, which are crucial for regression analysis 📉.
2. Predicting Future Prices:
o Linear Regression: The algorithm calculates the slope, average, and intercept of past prices to create a regression channel 📈, helping to predict the range of future prices 🔮.
o Standard Deviation and Pearson's R: These metrics determine the strength of the regression 🔍.
3. Adjusting the Prediction:
o The predicted value is adjusted by considering market volatility (ATR 📉) and the direction of trend signals 🔮, ensuring that the prediction is aligned with the current market environment 🌍.
4. Visualization:
o Prediction Lines and Bands: The algorithm plots lines that display the predicted future price along with a prediction range (upper and lower bounds) 📉📈.
5. EMA Cross Signals:
o EMA Conditions and Total Score: A bullish crossover signal is generated when the total score is positive and the short EMA crosses above the long EMA 📈. A bearish crossover signal is generated when the total score is negative and the short EMA crosses below the long EMA 📉.
6. Additional Considerations:
o Multi-Timeframe Regression Channel: The script calculates regression channels for different timeframes (5m, 15m, 30m, 4h) ⏳, helping determine the overall market direction 📊 (not visually presented).
Confidence Interpretation:
• High Confidence (close to 100%): Indicates strong alignment between timeframes with a clear trend (bullish or bearish) 🔥.
• Low Confidence (close to 0%): Shows disagreement or weak signals between timeframes ⚠️.
Confidence complements the interpretation of the prediction range and expected direction 🔮, aiding in decision-making for market entry or exit 🚀.
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Creamos este algoritmo con el objetivo de predecir los precios futuros 📊, específicamente hacia dónde irá el valor de cualquier activo en los próximos 20 períodos ⏳. Utiliza regresión lineal basada en los precios pasados, calculando una pendiente y una intersección para prever el comportamiento futuro 🔮. Esta predicción se ajusta según la volatilidad del mercado, medida por el ATR 📉, y la dirección de las señales de tendencia, que se basan en el MACD y las medias móviles 📈.
¿Cómo Funciona la Predicción con Linreg & ATR?
Cálculo de Tendencias y Señales:
Indicadores Técnicos: Usamos medias móviles exponenciales (EMA) a corto y largo plazo, RSI, MACD y Bandas de Bollinger 📊 para evaluar la dirección y el sentimiento del mercado (no presentados visualmente en el script).
Funciones de Cálculo: Incluye funciones para calcular pendiente, media, intersección, desviación estándar y el coeficiente de correlación de Pearson, esenciales para el análisis de regresión 📉.
Predicción de Precios Futuros:
Regresión Lineal: El algoritmo calcula la pendiente, la media y la intersección de los precios pasados para crear un canal de regresión 📈, ayudando a predecir el rango de precios futuros 🔮.
Desviación Estándar y Pearson's R: Estas métricas determinan la fuerza de la regresión 🔍.
Ajuste de la Predicción:
El valor predicho se ajusta considerando la volatilidad del mercado (ATR 📉) y la dirección de las señales de tendencia 🔮, asegurando que la predicción esté alineada con el entorno actual del mercado 🌍.
Visualización:
Líneas y Bandas de Predicción: El algoritmo traza líneas que muestran el precio futuro predicho, junto con un rango de predicción (límites superior e inferior) 📉📈.
Señales de Cruce de EMAs:
Condiciones de EMAs y Puntaje Total: Se genera una señal de cruce alcista cuando el puntaje total es positivo y la EMA corta cruza por encima de la EMA larga 📈. Se genera una señal de cruce bajista cuando el puntaje total es negativo y la EMA corta cruza por debajo de la EMA larga 📉.
Consideraciones Adicionales:
Canal de Regresión Multi-Timeframe: El script calcula canales de regresión para diferentes marcos de tiempo (5m, 15m, 30m, 4h) ⏳, ayudando a determinar la dirección general del mercado 📊 (no presentado visualmente).
Interpretación de la Confianza:
Alta Confianza (cerca del 100%): Indica una fuerte alineación entre los marcos temporales con una tendencia clara (alcista o bajista) 🔥.
Baja Confianza (cerca del 0%): Muestra desacuerdo o señales débiles entre los marcos temporales ⚠️.
La confianza complementa la interpretación del rango de predicción y la dirección esperada 🔮, ayudando en las decisiones de entrada o salida en el mercado 🚀.
Implied Volatility WallsThe Implied Volatility Walls (IVW) indicator is a powerful and advanced trading tool designed to help traders identify key market zones where price may encounter significant resistance or support based on volatility. Using implied volatility, historical volatility, and machine learning models, IVW provides traders with a comprehensive understanding of market dynamics. This indicator is especially useful for those who wish to forecast volatility-driven price movements and adjust their trading strategies accordingly.
How the Implied Volatility Walls (IVW) Works:
The Implied Volatility Walls (IVW) indicator uses a combination of historical price data and advanced machine learning algorithms to calculate key volatility levels and forecast future market conditions. It tracks cumulative volatility, identifies support and resistance zones, and detects liquidation bubbles to highlight critical price areas.
The main concept behind this tool is that price tends to move most of the time by the same amount, making it possible to average the past maximum excursion in order to obtain a validated area where traders can be able to see clearly that the price is moving more than normal.
This indicator primarily focuses on:
1. Volatility Zones: Potential support and resistance levels based on implied and historical volatility.
2. Machine Learning Volatility Forecast: A machine learning model that predicts high, medium, or low volatility for future market conditions.
3. Liquidation Detection: Highlights key areas of potential forced liquidations, where market participants may be forced out of their positions, often leading to significant price movements.
4. Backtesting and Win Rate: The indicator continuously monitors how effective its volatility-based predictions are, offering insights into the performance of its predictions.
Key Features:
1. Volatility Tracking:
- The IVW indicator calculates cumulative volatility by analyzing the range between the high and low prices over time. It also tracks volatility percentiles and separates the market conditions into high, medium, or low volatility zones, enabling traders to gauge how volatile the market is.
2. Volatility Walls (Upper and Lower Zones):
- Upper Volatility Wall (Red Zones): Represent resistance levels where the price might encounter difficulty moving higher due to excess in volatility. This zone is calculated based on the chosen percentile in the settings.
- Lower Volatility Wall (Blue Zones): Represent support levels where price may find buying support.
- These walls help traders visualize potential zones where reversals or breakouts could occur based on volatility conditions.
3. Machine Learning Forecast:
- One of the standout features of the IVW indicator is its machine learning algorithm that estimates future volatility levels. It categorizes volatility into high, medium, and low based on recent data and provides forecasts on what the next market condition is likely to be.
- This forecast helps traders anticipate market conditions and adapt their strategies accordingly. It is displayed on the chart as "Exp. Vol", providing insight into the future expected volatility.
4. VIX Adjustments:
- The indicator can be adjusted using the well-known **VIX (Volatility Index)** to further refine its volatility predictions. This enables traders to incorporate market sentiment into their analysis, improving the accuracy of the predictions for different market conditions.
5. Liquidation Bubbles:
- The Liquidation Bubbles feature highlights areas where large forced selling or buying events may occur, which are usually accompanied by spikes in volatility and volume. These bubbles appear when price deviates significantly from moving averages with substantial volume increases, alerting traders to potential volatile moves.
- Red dots indicate likely forced liquidations on the upside, and blue dots indicate forced liquidations on the downside. These bubbles can help traders spot moments of market stress and potential price swings due to liquidations.
6. Dynamic Volatility Zones:
- IVW dynamically adjusts support and resistance levels as market conditions evolve. This allows traders to always have up-to-date and relevant information based on the latest volatility patterns.
7. Cumulative Volatility Histogram:
- At the bottom of the chart, the purple histogram represents cumulative volatility over time, giving traders a visual cue of whether volatility is building up or subsiding. This can provide early signals of market transitions from low to high volatility, aiding traders in timing their entries and exits more accurately.
8. Backtesting and Win Rate:
- The IVW indicator includes a backtesting function that monitors the success of its volatility predictions over a selected period. It shows a Win Rate (WR) percentage (with 33% meaning that the machine learning algorithm does not bring any edge), representing how often the indicator's predictions were correct. This metric is crucial for assessing the reliability of the model’s forecasts.
9. Opening Range:
- At the beginning of a new session, the indicator will plot two lines indicating the high and the low of the first candle of the new time frame chosen.
Chart Breakdown:
Below is a description of what users see when using the Implied Volatility Walls (IVW) indicator on the chart:
Volatility Walls:
- Red shaded zones at the top represent upper volatility walls (resistance zones), while blue shaded zones at the bottom represent lower volatility walls (support zones). These areas show where price is likely to react due to high or low volatility conditions.
Liquidation Bubbles:
- Red and blue dots plotted above and below the price represent **liquidation bubbles**, indicating moments of market stress where volatility and volume spikes may force market participants to exit positions.
Cumulative Volatility Histogram:
- The purple histogram at the bottom of the chart reflects the buildup of cumulative volatility over time. Higher bars suggest increased volatility, signaling the potential for large price movements, while smaller bars represent calmer market conditions.
Real-Time Support and Resistance Levels:
- Solid and dashed lines represent current and historical support and resistance levels, helping traders identify price zones that have historically acted as volatility-driven turning points.
Gradient Bar Colors:
- The price bars change color based on their proximity to the volatility walls, with different colors representing how close the price is to these key levels. This color gradient provides a quick visual cue of potential market turning points.
Data Tables Explained:
Table 1: **Volatility Information Table (Top Right Corner):
- EV: Expected Volatility (based on the VIX FIX calculation from Larry Williams).
- +V and -V: Represents the adjusted volatility for upward (+V) and downward (-V) movements.
- Exp. Vol: Shows the expected volatility condition for the next period (High, Medium, or Low) based on the machine learning algorithm.
- WR: The Win Rate based on the backtesting of previous volatility predictions (three outcomes, so base Win rate is 33%, and not 50%).
Table 2: Expected Cumulative Range (Top Right Corner of the separated pane):
- Exp. CR: Expected Cumulative Range based on a machine learning algorithm that calculate the most likely outcome (cumulative range) based on the past days and metrics.
How to Use the Indicator:
1. Identify Key Support and Resistance Levels:
- Use the upper (red) and lower (blue) volatility walls to identify zones where the price is likely to face resistance or support due to volatility dynamics.
2. Forecast Future Volatility:
- Pay attention to the Expected Vol field in the table to understand whether the machine learning model predicts high, medium, or low volatility for the next trading session.
3. Monitor Liquidation Bubbles:
- Watch for red and blue bubbles as they can signal significant market events where volatility and volume spikes may lead to sudden price reversals or continuations.
4. Use the Histogram to Gauge Market Conditions:
- The cumulative volatility histogram shows whether the market is entering a high or low volatility phase, helping you adjust your risk accordingly and making you able to identify the potential of the rest of the chosen session.
5. Backtesting Confidence:
- The Win Rate (WR) provides insight into how reliable the indicator’s predictions have been over the backtested period, giving you additional confidence in its future forecasts, remember that considering the 3 scenarios possible (high volatility, medium and low volatility), the standard win rate is 33%, and not 50%!.
Final Notes:
The Implied Volatility Walls (IVW) indicator is a powerful tool for volatility-based analysis, providing traders with real-time data on potential support and resistance levels, liquidation bubbles, and future market conditions. By leveraging a machine learning model for volatility forecasting, this tool helps traders stay ahead of the market’s volatility patterns and make informed decisions.
Disclaimer: This tool is for educational purposes only and should not be solely relied upon for trading decisions. Always perform your own research and risk management when trading.
RSI with Swing Trade by Kelvin_VAlgorithm Description: "RSI with Swing Trade by Kelvin_V"
1. Introduction:
This algorithm uses the RSI (Relative Strength Index) and optional Moving Averages (MA) to detect potential uptrends and downtrends in the market. The key feature of this script is that it visually changes the candle colors based on the market conditions, making it easier for users to identify potential trend swings or wave patterns.
The strategy offers flexibility by allowing users to enable or disable the MA condition. When the MA condition is enabled, the strategy will confirm trends using two moving averages. When disabled, the strategy will only use RSI to detect potential market swings.
2. Key Features of the Algorithm:
RSI (Relative Strength Index):
The RSI is used to identify potential market turning points based on overbought and oversold conditions.
When the RSI exceeds a predefined upper threshold (e.g., 60), it suggests a potential uptrend.
When the RSI drops below a lower threshold (e.g., 40), it suggests a potential downtrend.
Moving Averages (MA) - Optional:
Two Moving Averages (Short MA and Long MA) are used to confirm trends.
If the Short MA crosses above the Long MA, it indicates an uptrend.
If the Short MA crosses below the Long MA, it indicates a downtrend.
Users have the option to enable or disable this MA condition.
Visual Candle Coloring:
Green candles represent a potential uptrend, indicating a bullish move based on RSI (and MA if enabled).
Red candles represent a potential downtrend, indicating a bearish move based on RSI (and MA if enabled).
3. How the Algorithm Works:
RSI Levels:
The user can set RSI upper and lower bands to represent potential overbought and oversold levels. For example:
RSI > 60: Indicates a potential uptrend (bullish move).
RSI < 40: Indicates a potential downtrend (bearish move).
Optional MA Condition:
The algorithm also allows the user to apply the MA condition to further confirm the trend:
Short MA > Long MA: Confirms an uptrend, reinforcing a bullish signal.
Short MA < Long MA: Confirms a downtrend, reinforcing a bearish signal.
This condition can be disabled, allowing the user to focus solely on RSI signals if desired.
Swing Trade Logic:
Uptrend: If the RSI exceeds the upper threshold (e.g., 60) and (optionally) the Short MA is above the Long MA, the candles will turn green to signal a potential uptrend.
Downtrend: If the RSI falls below the lower threshold (e.g., 40) and (optionally) the Short MA is below the Long MA, the candles will turn red to signal a potential downtrend.
Visual Representation:
The candle colors change dynamically based on the RSI values and moving average conditions, making it easier for traders to visually identify potential trend swings or wave patterns without relying on complex chart analysis.
4. User Customization:
The algorithm provides multiple customization options:
RSI Length: Users can adjust the period for RSI calculation (default is 4).
RSI Upper Band (Potential Uptrend): Users can customize the upper RSI level (default is 60) to indicate a potential bullish move.
RSI Lower Band (Potential Downtrend): Users can customize the lower RSI level (default is 40) to indicate a potential bearish move.
MA Type: Users can choose between SMA (Simple Moving Average) and EMA (Exponential Moving Average) for moving average calculations.
Enable/Disable MA Condition: Users can toggle the MA condition on or off, depending on whether they want to add moving averages to the trend confirmation process.
5. Benefits of the Algorithm:
Easy Identification of Trends: By changing candle colors based on RSI and MA conditions, the algorithm makes it easy for users to visually detect potential trend reversals and trend swings.
Flexible Conditions: The user has full control over the RSI and MA settings, allowing them to adapt the strategy to different market conditions and timeframes.
Clear Visualization: With the candle color changes, users can quickly recognize when a potential uptrend or downtrend is forming, enabling faster decision-making in their trading.
6. Example Usage:
Day traders: Can apply this strategy on short timeframes such as 5 minutes or 15 minutes to detect quick trends or reversals.
Swing traders: Can use this strategy on longer timeframes like 1 hour or 4 hours to identify and follow larger market swings.
Arithmetic Candlesticks (Zeiierman)█ Arithmetic Candlestick - Overview
Arithmetic Candlesticks (Zeiierman) introduce a new way to read charts by applying logical arithmetic to real price data. These candlesticks focus on filtering out noise and smoothing price movements using a bell-shaped curve, which helps to refine the data and highlight the true trend. This approach provides a clearer view of market trends, allowing traders to interpret price action more effectively with minimal lag and distraction.
⚪ What is Arithmetic Candlesticks
Arithmetic Candlesticks use a calculation method rooted in the idea that the market moves in patterns that can be identified and predicted by examining past price movements.
Analyzing momentum, price action, and trend patterns is useful for traders who want to quickly scan and identify price patterns, trends, and momentum in the market. The system searches for these patterns and trends to anticipate future price movements. Traders and investors can identify trends hidden in market noise, enabling them to uncover trading opportunities that might not be immediately obvious to the naked eye.
⚪ Eliminates price noise
The Arithmetic Candlestick noise filtering function is used to reduce price noise, which is the randomness in the price movement of an asset caused by market participants trading on a short-term basis. The idea behind the filter is that it eliminates the impact of short-term fluctuations in the price, thus providing a more accurate picture of the overall trend.
█ Capturing Trends with precise chart reading
Trend moves are some of the biggest moneymakers in trading; in fact, trading in the direction of the trend reduces risk and increases profit potential. Arithmetic Candlestick helps traders do just that.
In a fast-moving and volatile market characterized by high-frequency algorithms, retail traders have a hard time distinguishing the real trend from the noise. Arithmetic Candlesticks are designed to filter out the noise created by insignificant price moves and leave traders with the price action that matters, namely a clear and insightful chart reading. Due to its sophisticated mathematical calculations, Arithmetic Candlesticks are able to analyze any market and timeframe.
█ How to use Arithmetic Candlesticks
Arithmetic Candlesticks is an all-in-one trend and momentum tool that can be used stand-alone or in conjunction with other indicators. Its primary use is to provide a clear chart reading, easily identify trends, and help traders stay longer in trends.
The indicator includes excellent momentum features that offer insights into the current momentum and the strength of the price action. This provides traders with a unique chart experience that yields valuable insights. The indicator boasts numerous features, each of which can be used stand-alone or in combination with others. Read more about the features below.
These candles can be used in conjunction with other indicators such as support/resistance, trendlines, ICT trading, and other patterns.
█ Arithmetic Candlesticks features
The indicator comes with tons of great features that make the indicator into its own system that can be used stand-alone. You find everything from trend reading, entry/exit points, identifying momentum, and auto-stop loss.
⚪ Candle Modes:
Traders can select from three different types of arithmetic candle calculations and enable our volatility-adjusted filter for all of them. By default, the candles are set to Arithmetic candlesticks. However, depending on their trading preferences, users can select Arithmetic + Heikin Ashi Candles or Impulse + Wicks Candles.
The Heikin Ashi mode of the candlesticks makes the indicator smoother and more trend-friendly.
The Impulse + Wick mode of the candlesticks makes the indicator responsive to momentum. The length of the wicks represents the strength of the current momentum. The longer the wicks, the greater the momentum in the market.
If traders enable the Volatility Adjusted candles , the indicator becomes much more responsive to volatility moves, which is a way of making the candlesticks more responsive to significant price movements.
⚪ Trend coloring
Arithmetic candlesticks come in three different color modes: the default one, the gradient one, and the advanced trend coloring. Enable the Trend coloring if you want to engage in long-term trend trading. This filter does not change the arithmetic candlesticks, only the bar coloring.
⚪ Buy and Sell signals
To make trend trading easier to understand, we have included Buy/Sell signals. These signals are based both on the type of candlesticks selected and the type of coloring used. In addition, they come with three filters and are available in scalping and trend modes.
Candle Color Filter: A buy signal will only occur if the candlesticks are bullish, and a sell signal will only occur if the candlesticks are bearish.
Trend Tracker Filter: A buy signal will only occur if the Trend Tracker is bullish, and a sell signal will only occur if the Trend Tracker is bearish.
When both filters are applied, it means that both the candle color and the Trend Tracker should have the same sign in order to trigger a signal.
These filters are very effective and should be used when utilizing the signals.
Take Profit signals can be enabled to help traders know when to take profits.
Adaptive Stop Loss can be enabled for the signals, helping traders manage their risk.
⚪ Trend Tracker
The Trend Tracker line provides insights about the underlying trend. Adjust it if you want to engage in scalping, which makes the line much more responsive. Set the underlying speed of the trend to either Fast or Slow. This Trend Tracker works well in conjunction with Arithmetic Candlesticks and the associated signals.
⚪ Trend Sentiment
Enable Trend Sentiment to identify the levels at which the market is considered bullish or bearish. This feature helps you gauge the overall market direction, allowing you to align your trades with the prevailing trend. The Trend Sentiment also measures the strength of the trend, highlighting whether the current price action reflects a strong or weak trend. Adjust the sensitivity to determine how early or late you want to capture these trend signals.
⚪ Impulse
Enable Impulse Signals to understand when the market is making a significant move, often leading to a pullback or pause. These Impulse Signals can indicate the very start of a trend or serve as the first sign of a reversal. Enable 'Significant Impulses' if you only want to display the most significant market impulses.
█ How is Arithmetic Candlesticks Calculated?
⚪ Candlesticks
These candlesticks combine advanced smoothing techniques with price pattern recognition, giving traders a clearer view of market dynamics.
Adaptive Smoothing: The core of this smoothing approach is its ability to adjust dynamically based on market conditions. It reduces lag while staying responsive to price changes. This adaptive nature allows the candlesticks to follow the price action smoothly, minimizing the influence of short-term fluctuations. As a result, the trend is depicted with greater accuracy, helping traders to stay in tune with the market’s true direction.
Refined Smoothing with Weighted Averages: Another key component of the smoothing process involves applying a refined technique that uses a bell-shaped curve to weight price data. This method reduces the impact of outlier movements, resulting in a smoother, more continuous curve that accurately represents the market's central trend. This ensures that the candlesticks reflect a more balanced view of price action, focusing on the significant movements while filtering out unnecessary noise.
⚪ Trend Coloring
The Trend Coloring feature offers a powerful visualization tool that helps traders quickly identify the prevailing market trend and its strength. By analyzing market structure and the velocity of price movements, this feature provides a clear, dynamic view of the long-term trend direction.
Market Structure Analysis: The Trend Coloring is rooted in a thorough analysis of market structure, focusing on key price levels over time. By evaluating these levels, the system determines whether the market is in an uptrend, downtrend, or ranging phase. This information is then used to color the chart according to the current trend direction, providing a visual cue that makes it easier to align your trades with the broader market movement.
Velocity of Price Movements: . In addition to identifying the trend direction, the system also calculates the velocity of price movements. This involves assessing how quickly or slowly prices are advancing in a particular direction, offering deeper insight into the trend's strength and momentum. Faster price movements suggest a stronger trend, while slower movements may indicate a weakening or consolidating market. This dynamic approach ensures that the Trend Coloring not only highlights the trend but also reflects its intensity and potential sustainability.
⚪ Buy and Sell signals
The Buy/Sell signals are generated using a sophisticated approach that tracks key price action levels to determine market direction and momentum. This method constantly evaluates the relationship between the current price and dynamically adjusting levels that reflect the underlying market conditions. By staying in tune with the flow of the market, this approach effectively captures the onset of new trends while reducing the lag typically associated with traditional indicators.
Dynamic Price Action Levels: The signals are based on critical price action levels that adapt in real-time to market movements. These levels serve as flexible thresholds that help identify potential buy or sell opportunities. When the price interacts with these levels, it triggers signals that indicate possible entry or exit points, aligning your trades with the prevailing market direction.
Price Patterns: The algorithm also recognizes and integrates specific price patterns that are often precursors to significant market moves. By identifying these patterns, the system can anticipate changes in market direction more accurately, enabling earlier and more precise signals. This helps in capturing trend reversals or continuations effectively.
Momentum-Driven Adjustments: The system's price action levels are not static; they adjust dynamically in response to strong price movements. This ensures that the signals are not only timely but also in sync with the underlying market momentum, making the system highly effective in volatile conditions where quick decision-making is crucial.
⚪ Trend Tracker
The Trend Tracker utilizes the core principles of Arithmetic Candlesticks, including their sophisticated smoothing techniques and pattern recognition capabilities. By leveraging these features, the Trend Tracker effectively filters out market noise, allowing it to present a smooth and accurate representation of the current trend. This makes it easier to identify whether the market is trending upwards, downwards, or entering a period of consolidation.
Adaptive to Market Conditions: The Trend Tracker is not static; it dynamically adjusts as market conditions change. Whether the market is experiencing high volatility or moving through a quieter phase, the Trend Tracker remains responsive, continuously updating to reflect the most recent price action. This ensures that traders are always working with the most relevant information, making it easier to stay in sync with the market's true direction.
⚪ Trend Sentiment
Trend Sentiment analyzes key price levels and market structure to determine whether the current market sentiment is bullish or bearish. By examining the direction and momentum of price movements, it provides a straightforward view of the market's overall trend direction.
⚪ Impulse
Impulse monitors the market for sudden shifts in momentum, recognizing when the price is making a strong move that could lead to a trend continuation or a reversal. The feature is tuned to distinguish between regular market fluctuations and significant impulses. It focuses on the most meaningful price movements, ensuring that the signals you receive are relevant and actionable.
█ Important Note
Caution! Arithmetic candlesticks do not always reflect the actual price. Arithmetic uses smoothing and noise filtering to capture trends; hence, it might deviate from the actual close.
It's important to understand that Arithmetic Candlesticks are intended to provide a clearer picture of trend direction rather than exact price levels. Therefore, they should not be used as a substitute for actual market prices, especially in scenarios like backtesting or precise trade execution where exact price data is crucial. Instead, use Arithmetic Candlesticks as a tool for understanding trends and overall market direction, while relying on actual price data for decisions that require precise price points.
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Disclaimer
The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
Consolidation Range Detector [Pt]█ Author's Note:
After extensively reviewing the existing consolidation detection tools in the TradingView library, I found that none fully met my expectations. Some tools were overly sensitive, producing too many invalid ranges, while others lacked the necessary sensitivity. Consequently, I decided to develop my own tool. I hope that you, fellow traders, find it valuable and enjoy using it.
█ Description:
The Consolidation Range Detector is a sophisticated TradingView tool designed to identify and visualize periods of price consolidation on any financial chart. This indicator employs advanced algorithms to detect ranges where price movements are confined, helping traders spot potential breakout zones and make informed trading decisions.
█ Key Features:
► Customizable Detection Sensitivity: Adjust the sensitivity of the detection algorithm to suit your trading strategy, ensuring a precise fit within the consolidation range.
► Dynamic Coloring: Choose between random or fixed colors for the consolidation ranges, with options to match different background color schemes (Dark, Light, Neutral).
► Visual Clarity: Highlight detected consolidation ranges directly on the chart with customizable color schemes to enhance visibility and provide clear visual cues.
► ATR-Based Validation: Ensures detected consolidation ranges are significant and reliable by using the Average True Range (ATR) for validation.
█ User-Defined Inputs:
► Minimum Detection Bars: Set the minimum number of bars required to detect a consolidation range.
► Max Range Multiplier: Define the maximum range for detection as a multiple of the ATR.
► Detection Sensitivity: Adjust the sensitivity of the detection algorithm. Higher values mean a tighter fit within the consolidation range.
► Color Options: Choose the color for the consolidation range boxes and decide whether to use random colors.
► Color Scheme (Background): Select a color scheme for the chart background (Dark, Light, Neutral).
█ How It Works:
► Range Detection: The indicator scans the chart for potential consolidation ranges based on user-defined parameters. It calculates the average price and ATR to determine the significance of the range.
► Validation: Each detected range is validated based on criteria such as ATR threshold, range validity, average price comparison, and the number of touches at the range boundaries.
► Visualization: Validated ranges are highlighted on the chart with colored boxes, providing a clear visual cue of potential consolidation zones.
█ Usage Examples:
► Example 1:
The image below showcases the Consolidation Range Detector in action on a chart of S&P 500 E-mini Futures. The indicator highlights several consolidation ranges with different colors, demonstrating its ability to adapt to varying market conditions and visually emphasize key areas of price consolidation. The annotations for breakouts and price reactions are manually marked to illustrate the practical application of the tool in identifying potential trading opportunities based on these key areas.
█ Practical Applications:
► Identify Breakout Zones: Use the detected consolidation ranges to identify potential breakout zones, helping to anticipate significant price movements.
► Identify Key Price Levels: The tool helps in pinpointing key price levels where there is a high probability of significant price reactions, providing crucial insights for trading strategies.
► Enhance Technical Analysis: Integrate the Consolidation Range Detector into your existing technical analysis toolkit to improve the accuracy of your trading decisions.
█ Conclusion:
The Consolidation Range Detector is a powerful tool for traders looking to identify periods of price consolidation and potential breakout zones. With its customizable settings and advanced detection algorithms, it provides a reliable and visual method to enhance your trading strategy. Whether you're a beginner or an experienced trader, this indicator can add significant value to your technical analysis.
█ Cautionary Note:
While the Consolidation Range Detector is a powerful tool, it's important to combine it with other indicators and analysis methods for comprehensive trading decisions. Always consider market context and external factors when interpreting detected consolidation ranges.
MTF Workbench [WinWorld]WHAT IS THIS?
This is MTF Workbench — an indicator, which is based on World Class SMC, but has one main feature — multi-timeframe analysis.
WHY MAKING MTF FEATURE AS A SEPARATE INDICATOR?
We weren't able to implement this feature in the World Class SMC itself due to huge size and complexity of the script, so we have re-written the entire script and optimized it to implement MTF and decided to make a separate script for MTF features in order to not make World Class SMC any heavier, because otherwise the script would probably not even load up on the chart.
WHAT ARE THE FEATURES?
MTF Workbench has two features for now: dashboard and structure mapping. But there will be more soon!
DASHBOARD
Dashboard gathers data from 4 different timeframes and visualize the results in the nice little table on the chart. It is useful to have a dashboard because it visualizes important data in a simple way.
The settings of the dashboard are:
- Position. this settings has 2 subsettings: vertical position (bottom, middle, top) and horizontal position (left, center, right). These subsettings allow you to place dashboard on any side of the chart;
- Text size. This settings defines size of the text in the dashboard, simple as that;
- Timeframe #1, #2, ..., #4. These four settings allow you to choose 4 different timeframes for the table to gather data from.
How to read the dashboard:
- The colour of the specific data cell is the current trend of selected timeframe;
- IDM ⧖ — price has not reached IDM yet;
- IDM ✓ — price grabbed IDM.
This is it for dashboard, now for structure mapping.
STRUCTURE MAPPING
By structure we mean IDM, BoS and ChoCh (if you don't what this means, refer to World Class SMC description to learn the terms, we won't explain it here). In our main indicator structure was only drawn for the timeframe you were currently using, but now you can choose whatever timeframe you want to get structure from!
Why do this matter? Well, this feature alone allows to perform so called intern-structure analysis, because now you will able to compare current timeframe's structure to a higher timeframe's structure and get an a sufficient amount of edge about what Smart Money are doing.
* And yes, this feature only works for analyzing higher timeframes!
The structure itself is plotted the same way as it is in our main indicator, but we also add timeframe to the specific structure event (event is when price reaches IDM, BoS or ChoCh lines) so you could differentiate internal-structure events from any other events.
Live structure is also available in this indicator.
WHY USE THIS INDICATOR?
Even though there a lot of structure mapping indicators with MTF features, they don't have what MTF Workbench has — the correct core structure-mapping algorithm. We took our core structure-mapping algorithm and put it into MTF Workbench to finally bring MTF analysis to life to work state-of-the-art structure-mapping algorithm, which gives any user a huge edge in the market by a very simple reason — this algorithm actually works. Our algorithm proved itself to be efficient and it helps map structure without human intervention, which is a huge leap in smart money trading. To this day we were not able to find an algorithm which would match the quality of our algo! Which why we think making an MTF version of our algorithm is a good thing to do, because now users can finally work with current timeframe and see information about structure from other timeframes using only ONE chart. If you are smart-money trader, you understand that this is a HUGE thing.
For PineScript moderators
We know the rule not publish slightly modifie version of some indicator as another indicator, but this is not a slightly different version. MTF Workbench was completely re-writtten from scratch and optimized so it could fint PineSript's code restrictions such as 500 max local scopes, which World Class SMC with MTF Workbench's features exceeded way too far.
Also, by referencing our World Class SMC indicator we don't promote it in any way. The reference is only made with purposes of
1) Informational reference to help users learn specific terms.
2) Informational reference to some of the World Class SMC features to give users a clue about what exactly MTF Workbench does.
We hope that you will find a great use from MTF Workbench as we did and it will help your level up your edge!
Sincerely, WinWorld Team.
Automating wealth creation since 2022.
Volume ForecastThe Volume Forecast indicator on TradingView is a comprehensive tool designed to analyze historical price action and project future market movements based on the average sizes of candles. Incorporating various data points such as candle high/low, open/close, and real volumes, Volume Forecast provides traders with a holistic view of market dynamics, allowing for more informed decision-making.
Key Features:
Multi-Data Source Analysis:
Volume Forecast seamlessly integrates multiple data sources, including candle high/low, open/close prices, and real volumes. By considering these diverse elements, the indicator offers a nuanced understanding of market conditions.
Historical Candle Size Analysis:
The indicator conducts a thorough analysis of historical candle sizes, capturing key data points to calculate the average candle size over a specified period. This historical context serves as the foundation for forecasting future candle sizes.
Customizable Forecasting Parameters:
Traders have the flexibility to fine-tune forecasting parameters to align with their trading strategies. Whether focusing on open/close relationships, high/low points, or real volumes, users can customize the indicator to suit their preferences.
Predictive Algorithm:
Volume Forecast employs a sophisticated predictive algorithm that leverages historical candle size data to project the potential size of upcoming candles. This algorithmic approach enhances the indicator's accuracy in forecasting market movements.
Visual Clarity:
The indicator provides a clear visual representation on the TradingView chart, displaying historical candle sizes and forecasted values. Color-coded elements and visual cues help traders quickly interpret the data, facilitating timely decision-making.
Adaptive Real-Time Updates:
Volume Forecast dynamically updates in real-time, ensuring traders have access to the latest information. This adaptability allows for swift adjustments to trading strategies in response to changing market conditions.
Comprehensive Market Compatibility:
Whether trading stocks, forex, cryptocurrencies, or commodities, Volume Forecast is compatible across various financial instruments and timeframes. This versatility makes it a valuable asset for traders in different markets.
User-Friendly Interface:
With an intuitive interface, Volume Forecast is accessible to traders of all experience levels. The indicator's user-friendly design streamlines the analysis process, making it easier for traders to incorporate it into their trading routines.
In summary, Volume Forecast is a robust TradingView indicator that combines historical candle size analysis with advanced forecasting techniques. By incorporating multiple data sources and offering customization options, it empowers traders to make more informed decisions in anticipation of market movements. Whether used independently or in conjunction with other tools, Volume Forecast is a valuable asset for traders seeking a comprehensive understanding of market dynamics.
Grid by Volatility (Expo)█ Overview
The Grid by Volatility is designed to provide a dynamic grid overlay on your price chart. This grid is calculated based on the volatility and adjusts in real-time as market conditions change. The indicator uses Standard Deviation to determine volatility and is useful for traders looking to understand price volatility patterns, determine potential support and resistance levels, or validate other trading signals.
█ How It Works
The indicator initiates its computations by assessing the market volatility through an established statistical model: the Standard Deviation. Following the volatility determination, the algorithm calculates a central equilibrium line—commonly referred to as the "mid-line"—on the chart to serve as a baseline for additional computations. Subsequently, upper and lower grid lines are algorithmically generated and plotted equidistantly from the central mid-line, with the distance being dictated by the previously calculated volatility metrics.
█ How to Use
Trend Analysis: The grid can be used to analyze the underlying trend of the asset. For example, if the price is above the Average Line and moves toward the Upper Range, it indicates a strong bullish trend.
Support and Resistance: The grid lines can act as dynamic support and resistance levels. Price tends to bounce off these levels or breakthrough, providing potential trade opportunities.
Volatility Gauge: The distance between the grid lines serves as a measure of market volatility. Wider lines indicate higher volatility, while narrower lines suggest low volatility.
█ Settings
Volatility Length: Number of bars to calculate the Standard Deviation (Default: 200)
Squeeze Adjustment: Multiplier for the Standard Deviation (Default: 6)
Grid Confirmation Length: Number of bars to calculate the weighted moving average for smoothing the grid lines (Default: 2)
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Disclaimer
The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
Quantum TrendQuantum Trend indicator is our new tool to trade on futures and spot markets in the world of cryptocurrency.
This indicator uses some advanced techniques to determine price reversals and filter them out with other indicators, such as oscillators ( Stochastic RSI and etc. ) and trend-based indicators ( such as EMA and others ), but even after filtering signals with these tools Quantum Trend indicator then applies our own private algorithm, based on our modified z-score mertic, which reduces lag drastically and helps find good entries faster.
What algo is behind the signals?
For finding new entries we used RSI- and stochastic-based oscillators, which help us determine potential price reversal movements. When new entry is found, we filter it through our own stochastic RSI filter (takes stoch RSI's pivot points into account to find better entries; pivot points left and right bars are hard coded into the indicator) with our private indicators, based on close-to-close volatility filter methods, to understand whether or not entry valid enough. Why stochastic RSI? Because it is much less messy than most of other existing oscillators (by our own opinion and experience).
That was first filtering stage, now comes the second .
In the second phase we filter out signals even more with our own modified-standard-deviation-based indicators ( not Bollinger Bands! ) to determine whether or not price went above or below 2 sigma channel, which would mean that current price's movement is extremely rare (because for going above 2 sigma or below -2 sigma there is only 5% chance (classic Gaussian distribution)) and the reversal will probably happen soon.
If signal passed all two phases of filtering, it will be showed on the chart.
Over all, this indicator uses our own private indicators, based on some core concepts, which we described above ( classic Gaussian distribution for choosing signals with nice reversal moments , close-to-close volatility for understanding if market is volatile enough to make a good move , modified z-score metric for reducing lag and finding entries faster , own stoch RSI filter with pivot points for reducing lag and finding good reversal moments and etc. )
That's for idea reveal, now let's dive into the settings!
Indicator settings
Main Algo Settings — group of settings of the core algorithm, that forms signals.
Signal Length * — determines how many bars from the past should be taken to make a signal.
Signal Factor * — determines the threshold for signal quality.
* — the more this parameter is, the less signals you will get, but they will be more high-quality.
Signals to Show — determines which type of signals will be displayed on the chart:
Classic — Long/Short signals;
Strong — Strong Long/Short signals;
All — Classic + Strong signals;
Signal Colours — group of settings for customizing signals' colours.
Long — colour for Long signals
Short — colour for Short signals
Strong Long — colour for Strong Long signals
Strong Short — colour for Strong Short signals
Filter for Strong Signals — group of settings for strong signals.
Use Strong Signals? — enabling/disabling strong signals on the chart;
Apply this filter to Strong Signals? — enabling/disabling filter for strong signals. When disabled, strong signals won't be filtered and there will be a lot more signals on the chart, but with less quallity.
Fast Period * — number of bars for 1st group of candles to form a signal;
Slow Period * — number of bars for 2nd group of candles to form a signal ( we need these two groups to align short-term with long-term trend );
Additional Filter Period * — period for filter indicator, which cuts out bad strong signals;
Additional Filter Smoother Period * — period for filter indicator's smoother, which makes additionally smoothes signals to filter out bad ones;
Filter's source — price souce for the filter ( open, close, hl2 and etc. ).
* — the more this parameter is, the less signals you will get, but they will be more high-quality.
2nd Filter — group of settings for the 2nd filter, which cuts out bad signals from Main Algo.
Enable 2nd Filter? — enabling/disabling 2nd filter. When diasbled, there wiull be a lot more signals on the chart, but with less quality;
2nd Filter Length — period for the indicator, which is embedded in 2nd filter. Based on improved RSI;
OverBought Lvl — level, which indicates that asset is probably overbought ;
OverSold Lvl — level, which indicates that asset is probably oversold ;
TP/SL Settings — Take-Profit/Stop-Loss settings
Use TP? — Show take profits on the chart
TP Mode — Take Profit mode (either zone or 3 levels (drawn on the chart))
Take-Profit 1, 2, 3 Factor — Multiplier/factor for the 1st, 2nd, 3rd take-profits accrodingly . Determines the width of the take profits/zone (the higher the factor, the further the take profits are located from the entry point)
SL Factor — Multiplier/factor for the stop loss (line on the chart; not displayed if the take profit mode is set to zone)
Whales Screener — screener, that shows where whales buy (green zones) and sell (red zones).
Use Whales Screener? — enabling/disabling whales screener.
Support & Resistance Settings — group of settings for support and resistance lines.
Support Color — Support color;
Resistance Color — Resistance color;
S/R Strength — Strength of support and resistance lines. The greater it is, the more reliable the S/R lines will be;
Line Style — style of each S/R line ( solid, dotted, dashed );
Zone Width, % — Zone width in percentage of the price fro the last 250 bars;
Extend S/R Lines — Extend the S/R lines to the right and left.
What timeframes to use?
This indicator was built to work on any timeframe, but our practice shows that it works best on higher timeframes such 30 minutes and more, but you should find by yourself which timeframe suits you best.
What markets can this indicator be applied to?
This indicator is market-indifferent, which means that you can use this indicator on any possible market.
How should I use this indicator?
Quantum Trend indicator can be a useful tool for finding entries and confirming signals from your own trading system, as it is built with multiple signal filter layers, which drastically reduce amount of bad signals. Also it is better to use other indicators to confirm signals, produced by Quantum Trend, because this way you will get even more high-quality signals.
Does it repaint?
No, this indicator doesn't repaint.
IMPORTANT, PLEASE READ!
This is indicator is not a Holy Grail of trading and we DON'T promote it as such in any possible way. As any possible indicator, Quantum Trend uses price data of the past, which CAN NOT guarantee perfect price predicitions of the future!
Hope this indicator will help you make a much better trading decisions!
Buy/Sell Toolkit (Expo)█ Overview
The Buy/Sell Toolkit is a comprehensive trading tool designed to provide a holistic approach to trading. It brings together essential trading indicators and features in one place, simplifying the trading process and offering valuable insights into the market.
The indicator serves as an all-inclusive solution for traders seeking in-depth technical insights. While the Buy/Sell Toolkit can be utilized alongside other technical analysis methods, it can also be used as a standalone toolkit, adaptable to any trading style. In addition, each feature is thoughtfully integrated because not all technical indicators are suitable for every market condition or trading style.
The Buy/Sell toolkit works in any market and timeframe for discretionary analysis and includes many features:
█ Features
Buy/Sell signals: This feature provides real-time Buy/Sell trading signals for any market and timeframe. These signals are based on the trend.
Contrarian Signals: This feature provides real-time contrarian signals to take a position against the prevailing market trend.
Ultimate Trend: This feature assists in identifying the overall trend of the market, recognizing whether the market is in an uptrend, downtrend, or sideways.
Trend Advisor: The Trend Advisor helps traders understand the trend's strength, duration, and direction.
Trend Reversal: This feature identifies potential points where the current market may reverse within a trend. It's basically a trend-following line based on reversal calculation; it helps traders catch trend continuation setups.
Momentum Average: This indicator measures the rate of change in prices to identify the strength of the current trend. It can be beneficial for spotting potential price breakouts or warning of a market slowdown and pullbacks.
Take Profit Points: This feature suggests optimal points to exit a trade and lock in profits. It determines these points by using various factors such as volatility, support and resistance levels, and historical price movements.
Candle Coloring, Arithmetic Candlesticks, including Arithmetic Heikin Ashi: This feature provides an excellent visual aid to assist traders in recognizing patterns, identifying trends, and optimizing their trading strategies. The Arithmetic Candlesticks help smooth out price volatility and identify market trends more clearly.
Reversal Cloud: This innovative feature provides a graphical representation of potential price reversal zones. The cloud helps traders visualize where the price might reverse its trend.
Trend Cloud: Similar to the Reversal Cloud, this feature visualizes the prevailing market trend, making it easy for traders to understand the direction of the market at a glance.
Signal Optimizer: The Signal Optimizer is a powerful tool that optimizes the Buy/Sell and contrarian signals based on win-rate or performance. It automatically applies the best settings to the signals, freeing traders from the task of constantly adjusting them. This helps traders to get the most reliable signals automatically, enhancing their trading efficiency.
█ How to use the Buy/Sell Toolkit?
Here are a few illustrative examples to provide traders with a better understanding of the Toolkit's practical usage. These examples showcase the combination of features, but it's important to note that they serve as demonstrations, and we encourage traders to explore and adapt the features to align with their unique trading styles.
Buy/Sell Signals & Take Profit
Optimized Buy/Sell signals & Candle Color + Trend Advisor + Reversal Cloud
Contrarian Signals & Take Profit
,with Reversal Cloud
Optimized Contrarian Signals & Ultimate Trend & Reversal Cloud
Trend Cloud
Filter signals with Trend Cloud
█ Why is this Buy/Sell Toolkit Needed?
The Buy/Sell Toolkit is an exceptional tool for traders because it consolidates several critical trading indicators into a single, user-friendly platform. The Toolkit's holistic approach to market analysis can enhance decision-making, reduce guesswork, and improve overall trading performance. Additionally, it allows traders to customize their approach according to the market conditions and their trading style.
The Toolkit's automated features, such as the Signal Optimizer, save time and effort, making it easier for both new and experienced traders. In addition, its comprehensive suite of features ensures traders have all the information they need to make informed trading decisions. All these features make the Buy/Sell Toolkit a powerful ally in any trader's arsenal.
Here's why this Toolkit is essential:
Comprehensive Market Analysis: The Toolkit offers a wide range of indicators and tools for comprehensive market analysis, from trend detection to momentum analysis. This reduces the need for multiple tools and allows for a more efficient trading process. By providing a host of indicators like Buy/Sell signals, Contrarian Signals, Trend Analysis, and Momentum Average, the Toolkit helps traders make well-informed decisions based on comprehensive data and trend analysis.
Automation and Time-Saving: The Signal Optimizer automatically applies the best settings to the signals based on win rate or performance. This saves time and ensures the signals' reliability, reducing, it makes the trading process efficient and hassle-free.
Versatility: The Toolkit is versatile and can be used for various financial markets, including stocks, forex, commodities, or cryptocurrencies. Regardless of the market you trade in, the Buy/Sell Toolkit has something to offer.
Visual Tools: The Toolkit provides visual tools like Reversal Cloud, Trend Cloud, Trend lines, Candle coloring, and much more, which are excellent for visualizing market trends and potential reversal zones. This can make the process of understanding market movements more intuitive and less intimidating, especially for novice traders.
Confirmation: By using multiple indicators in conjunction with each other, traders can confirm signals and improve the accuracy of their trades.
Learning and Development: The Toolkit serves as an excellent resource for both novice and experienced traders to learn about different trading indicators, how they interact, and how to use them effectively.
█ Any Alert Function Call
This function allows traders to combine any feature and create customized alerts. These alerts can be set for various conditions and customized according to the trader's strategy or preferences.
█ How are the features calculated? - Overview
The Toolkit combines many of our existing premium indicators and new technical analysis algorithms to analyze the market. This overview covers how the main features are calculated.
Buy/Sell
The core function calculates the Exponential Weighting for a given time series X over a period T. The time series is based on absolute price changes. It focuses on the magnitude of price changes from one period to the next, irrespective of the direction (up or down). This type of time series can be used to measure the volatility of a price series, as it quantifies the size of price movements. It's useful in scenarios where the direction of the change is not as important as the magnitude of the change.
Contrarian Signals
Our contrarian signals are based on deviation from the expected range value. The algorithm quantifies the amount of variation or dispersion in a set of trading ranges. Non-expected values are the fundamental core of the signal generation process.
Ultimate Trend
The Ultimate trend calculates an adaptive smoothing momentum function by first determining the directional price movement and then applying smoothing to the positive and negative price changes. It then uses these values to calculate a form of Variable Moving Average (VMA), where the smoothing factor is adjusted based on a normalized measure of the relative difference between the Positive and Negative Directional values.
Trend Advisor
It's a form of Moving Averages that are applied to the price chart using three different weighting functions, simple weighting, price volatility smoothing constant weighting, and the traditional EMA weighting function.
Trend Reversal and Cloud
The function uses the information on how much the current price compared to the relative historical price fluctuates over a specific period and automatically updates its equilibrium value at new price changes.
Momentum Average
Essentially, it uses a modified version of the relative rate of change over a certain period.
Take Profit
The take profit uses similar range price functions as the contrarian signals, where a take profit signal is triggered at extremely abnormal values.
Candles
Note, Using and Backtesting on non-standard charts produces unrealistic results since it does not represent the closing price. The candles are based on a smoothing process that finds the best smoothing coefficient for the current data, using close as time series.
█ In conclusion , The Buy/Sell Toolkit serves as a comprehensive, user-friendly, and efficient trading assistant. It brings automation and intelligent data play-by-play to your fingertips, making it an essential tool for anyone serious about trading.
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Disclaimer
The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
