Rectified BB% for option tradingThis indicator shows the bollinger bands against the price all expressed in percentage of the mean BB value. With one sight you can see the amplitude of BB and the variation of the price, evaluate a reenter of the price in the BB.
The relative price is visualized as a candle with open/high/low/close value exspressed as percentage deviation from the BB mean
The indicator include a modified RSI, remapped from 0/100 to -100/100.
You can choose the BB parameters (length, standard deviation multiplier) and the RSI parameter (length, overbougth threshold, ovrsold threshold)
You can exclude/include the candles and the RSI line.
The indicator can be used to sell options when the volatility is high (the bollinger band is wide) and the price is reentering inside the bands.
If the price is forming a supply or demand area it can be a good opportunity to sell a bull put or a bear call
The RSI can be used as confirm of the supply/demand formation
If the bollinger band is narrow and the RSI is overbought/oversold it indicate a better opportunity to buy options
the indicator is designed to work with daily timeframe and default parameters.
Wyszukaj w skryptach "demand"
AI Trend Navigator [K-Neighbor]█ Overview
In the evolving landscape of trading and investment, the demand for sophisticated and reliable tools is ever-growing. The AI Trend Navigator is an indicator designed to meet this demand, providing valuable insights into market trends and potential future price movements. The AI Trend Navigator indicator is designed to predict market trends using the k-Nearest Neighbors (KNN) classifier.
By intelligently analyzing recent price actions and emphasizing similar values, it helps traders to navigate complex market conditions with confidence. It provides an advanced way to analyze trends, offering potentially more accurate predictions compared to simpler trend-following methods.
█ Calculations
KNN Moving Average Calculation: The core of the algorithm is a KNN Moving Average that computes the mean of the 'k' closest values to a target within a specified window size. It does this by iterating through the window, calculating the absolute differences between the target and each value, and then finding the mean of the closest values. The target and value are selected based on user preferences (e.g., using the VWAP or Volatility as a target).
KNN Classifier Function: This function applies the k-nearest neighbor algorithm to classify the price action into positive, negative, or neutral trends. It looks at the nearest 'k' bars, calculates the Euclidean distance between them, and categorizes them based on the relative movement. It then returns the prediction based on the highest count of positive, negative, or neutral categories.
█ How to use
Traders can use this indicator to identify potential trend directions in different markets.
Spotting Trends: Traders can use the KNN Moving Average to identify the underlying trend of an asset. By focusing on the k closest values, this component of the indicator offers a clearer view of the trend direction, filtering out market noise.
Trend Confirmation: The KNN Classifier component can confirm existing trends by predicting the future price direction. By aligning predictions with current trends, traders can gain more confidence in their trading decisions.
█ Settings
PriceValue: This determines the type of price input used for distance calculation in the KNN algorithm.
hl2: Uses the average of the high and low prices.
VWAP: Uses the Volume Weighted Average Price.
VWAP: Uses the Volume Weighted Average Price.
Effect: Changing this input will modify the reference values used in the KNN classification, potentially altering the predictions.
TargetValue: This sets the target variable that the KNN classification will attempt to predict.
Price Action: Uses the moving average of the closing price.
VWAP: Uses the Volume Weighted Average Price.
Volatility: Uses the Average True Range (ATR).
Effect: Selecting different targets will affect what the KNN is trying to predict, altering the nature and intent of the predictions.
Number of Closest Values: Defines how many closest values will be considered when calculating the mean for the KNN Moving Average.
Effect: Increasing this value makes the algorithm consider more nearest neighbors, smoothing the indicator and potentially making it less reactive. Decreasing this value may make the indicator more sensitive but possibly more prone to noise.
Neighbors: This sets the number of neighbors that will be considered for the KNN Classifier part of the algorithm.
Effect: Adjusting the number of neighbors affects the sensitivity and smoothness of the KNN classifier.
Smoothing Period: Defines the smoothing period for the moving average used in the KNN classifier.
Effect: Increasing this value would make the KNN Moving Average smoother, potentially reducing noise. Decreasing it would make the indicator more reactive but possibly more prone to false signals.
█ What is K-Nearest Neighbors (K-NN) algorithm?
At its core, the K-NN algorithm recognizes patterns within market data and analyzes the relationships and similarities between data points. By considering the 'K' most similar instances (or neighbors) within a dataset, it predicts future price movements based on historical trends. The K-Nearest Neighbors (K-NN) algorithm is a type of instance-based or non-generalizing learning. While K-NN is considered a relatively simple machine-learning technique, it falls under the AI umbrella.
We can classify the K-Nearest Neighbors (K-NN) algorithm as a form of artificial intelligence (AI), and here's why:
Machine Learning Component: K-NN is a type of machine learning algorithm, and machine learning is a subset of AI. Machine learning is about building algorithms that allow computers to learn from and make predictions or decisions based on data. Since K-NN falls under this category, it is aligned with the principles of AI.
Instance-Based Learning: K-NN is an instance-based learning algorithm. This means that it makes decisions based on the entire training dataset rather than deriving a discriminative function from the dataset. It looks at the 'K' most similar instances (neighbors) when making a prediction, hence adapting to new information if the dataset changes. This adaptability is a hallmark of intelligent systems.
Pattern Recognition: The core of K-NN's functionality is recognizing patterns within data. It identifies relationships and similarities between data points, something akin to human pattern recognition, a key aspect of intelligence.
Classification and Regression: K-NN can be used for both classification and regression tasks, two fundamental problems in machine learning and AI. The indicator code is used for trend classification, a predictive task that aligns with the goals of AI.
Simplicity Doesn't Exclude AI: While K-NN is often considered a simpler algorithm compared to deep learning models, simplicity does not exclude something from being AI. Many AI systems are built on simple rules and can be combined or scaled to create complex behavior.
No Explicit Model Building: Unlike traditional statistical methods, K-NN does not build an explicit model during training. Instead, it waits until a prediction is required and then looks at the 'K' nearest neighbors from the training data to make that prediction. This lazy learning approach is another aspect of machine learning, part of the broader AI field.
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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!
Impulse MACD buy OwlPixelDescription:
The Impulse MACD Buy Indicator, developed by OwlPixel, is a powerful trading tool for traders using TradingView's Pine Script version 5. This indicator aims to provide valuable insights for identifying potential buy signals in the market using the popular MACD (Moving Average Convergence Divergence) oscillator.
Key Features:
MACD Analysis: The indicator displays the MACD line (blue) and the signal line (orange) on the chart, helping traders assess the momentum and trend direction of an asset.
Impulse Histo: The Impulse Histo (blue histogram) visualizes the difference between the MACD line and the signal line, making it easier to spot changes in market strength and potential trend reversals.
Impulse MACD CD Signal: This histogram (maroon color) highlights the divergence between the Impulse Histo and the signal line, providing further insights into trend shifts.
Background Boxes: The indicator features three rows of different colored background boxes that represent distinct market conditions - an uptrend (light green), a downtrend (light red), and a neutral trend (light yellow).
Crossover Points: Buy signals are marked with green circles when the MACD line crosses above the signal line, suggesting potential entry points for long positions.
Demand and Supply Bars: The demand (lime/green) and supply (red/orange) bars are intensified, aiding traders in identifying possible reversal areas.
Stop Loss and Take Profit:
The Impulse MACD Buy Indicator automatically calculates Stop Loss (SL) and Take Profit (TP) levels for buy signals. The SL level is set at the highest of the last three candles, while the TP level is determined by a user-defined percentage of the closing price. This information helps traders manage risk and optimize their profit potential.
Usage:
Apply the Impulse MACD Buy Indicator to your TradingView chart by copying the provided Pine Script into the Pine Editor.
Configure the input parameters, such as the MA Length and Signal Length, to suit your trading preferences.
Observe the MACD line, signal line, and histograms to gain insights into market momentum and trends.
Identify buy signals when the MACD line crosses above the signal line, signaled by green circles.
Utilize the provided Stop Loss and Take Profit levels for risk management and exit strategies.
Please note that this indicator is for informational purposes only and should be used in conjunction with other analysis techniques to make well-informed trading decisions. Happy trading!
Liquidity Voids (FVG) [LuxAlgo]The Liquidity Voids (FVG) indicator is designed to detect liquidity voids/imbalances derived from the fair value gaps and highlight the distribution of the liquidity voids at specific price levels.
Fair value gaps and liquidity voids are both indicators of sell-side and buy-side imbalance in trading. The only difference is how they are represented in the trading chart. Liquidity voids occur when the price moves sharply in one direction forming long-range candles that have little trading activity, whilst a fair value is a gap in price.
🔶 USAGE
Liquidity can help you to determine where the price is likely to head next. In conjunction with higher timeframe market structure, and supply and demand, liquidity can give you insights into potential price movement. It's essential to practice using liquidity alongside trend analysis and supply and demand to read market conditions effectively.
The peculiar thing about liquidity voids is that they almost always fill up. And by “filling”, we mean the price returns to the origin of the gap. The reason for this is that during the gap, an imbalance is created in the asset that has to be made up for. The erasure of this gap is what we call the filling of the void. And while some voids waste no time in filling, some others take multiple periods before they get filled.
🔶 SETTINGS
The script takes into account user-defined parameters and detects the liquidity voids based on them, where detailed usage for each user-defined input parameter in indicator settings is provided with the related input's tooltip.
🔹 Liquidity Detection
Liquidity Voids Threshold: Act as a filter while detecting the Liquidity Voids. When set to 0 basically means no filtering is applied, increasing the value causes the script to check the width of the void compared to a fixed-length ATR value
Bullish: Color customization option for Bullish Liquidity Voids
Bearish: Color customization option for Bearish Liquidity Voids
Labels: Toggles the visibility of the Liquidity Void label
Filled Liquidity Voids: Toggles the visibility of the Filled Liquidity Voids
🔹 Display Options
Mode: Controls the lookback length of detection and visualization
# Bars: Lookback length customization, in case Mode is set to Present
🔶 RELATED SCRIPTS
Buyside-Sellside-Liquidity
Fair-Value-Gaps
Volume Spread Analysis Candle PatternsVolume Spread Analysis (VSA) is a methodology used in trading and investing to analyze the relationship between volume, price spread, and price movement in financial markets. It was developed by Richard Wyckoff, a prominent trader and market observer.
The core principle of VSA is that changes in volume can provide insights into the strength or weakness of price movements and indicate the intentions of market participants. By examining the interplay between volume and price, traders aim to identify the behavior of smart money (informed institutional investors) versus less-informed market participants.
Key concepts in Volume Spread Analysis include:
1. Volume: VSA places significant emphasis on volume as a leading indicator. It suggests that changes in volume precede price movements and can provide clues about the market's sentiment.
2. Spread: The spread refers to the price range between the high and low of a given trading period (e.g., a candlestick or bar). VSA considers the relationship between volume and spread to gauge the strength of price action.
3. Upthrust and Springs: These are VSA candle patterns that indicate potential market reversals. An upthrust occurs when prices briefly move above a resistance level but fail to sustain the upward momentum. Springs, on the other hand, happen when prices briefly dip below a support level but quickly rebound.
4. No Demand and No Supply: These patterns suggest a lack of interest or participation from buyers (no demand) or sellers (no supply) at a particular price level. These conditions may foreshadow a potential price reversal or consolidation.
5. Hidden Buying and Selling: Hidden buying occurs when prices close near the high of a bar, indicating the presence of buyers even though the market appears weak. Hidden selling is the opposite, where prices close near the low of a bar, suggesting the presence of sellers despite apparent strength.
By combining these VSA concepts with other technical analysis tools, traders seek to identify potential trading opportunities with favorable risk-reward ratios. VSA can be applied to various financial markets, including stocks, futures, forex, and cryptocurrencies.
It's important to note that while VSA provides a framework for analyzing volume and price, its interpretation and application require experience, skill, and subjective judgment. Traders often use VSA in conjunction with other technical indicators and chart patterns to make well-informed trading decisions.
Multi-Timeframe High Low (@JP7FX)Multi-Timeframe High Low Levels (@JP7FX)
This Price Action indicator displays high and low levels from a selected timeframe on your current chart.
These levels COULD represent areas of potential liquidity, providing key price points where traders can target entries, reversals, or continuation trades.
Key Features:
Display high and low levels from a selected timeframe.
Customize line width, colors for high and low levels, and label text color.
Enable or disable the display of high levels, low levels, and labels.
Receive alerts when the price takes out high or low levels.
How to use:
It is important to note that using this indicator on it's own is not advisable. Instead, it should be combined with other tools and analysis for a more comprehensive trading strategy.
Possibly look to use my MTF Supply and Demand Indicator to look for zones to trade from at these levels?
If the price breaks above a high level, you might consider entering a long position, with the expectation that the price will continue to rise. Conversely, if the price breaks below a low level, you may think about entering a short position, anticipating further downward movement.
On the other hand, you can also use high or low levels to look for reversal trades, as these areas can represent attractive liquidity zones.
By identifying these key price points, you could take advantage of potential market reversals and capitalise on new trading opportunities.
Always remember to use this indicator in conjunction with other technical analysis tools for the best results.
Additionally, you can enable alerts to notify you when the price takes out high or low levels, helping you stay informed about significant price movements.
This indicator could be a valuable tool for traders looking to identify key price points for potential trading opportunities.
As always with the markets, Trade Safe :)
Paradigm Trades_VPA Swing IndicatorThe indicator is designed to identify specific patterns in price and volume movements that can signal potential trading opportunities. It does this by calculating several conditions based on the current bar's price and volume movements.
The code defines five conditions: Narrow Spread Up Bar, Wide Spread Down Bar, No Demand Bar, No Selling Bar, and Churning. These conditions are then plotted on the chart using specific shapes and colors. The code also includes alert conditions for each of the signals, which can be used to generate alerts for traders when a particular pattern is identified.
The VPA Swing Indicator can be used as part of a swing trading strategy to identify potential buy or sell signals. For example, a Narrow Spread Up Bar may indicate bullish momentum, while a Wide Spread Down Bar may indicate bearish momentum. Traders can use these signals to make informed trading decisions and manage their risk accordingly.
Legend:
Spread Up Bar: This is a bullish bar with a small spread, indicating a lack of selling pressure and strong buying activity.
Wide Spread Down Bar: This is a bearish bar with a large spread, indicating strong selling pressure and weak buying activity.
No Demand Bar: This is a bearish bar with a small spread and low volume, indicating a lack of buying interest and the smart money selling off their positions.
No Selling Bar: This is a bullish bar with a small spread and low volume, indicating a lack of selling interest and the smart money buying up positions.
Churning: This is a sideways market with narrow spread bars and low volume, indicating the smart money is distributing shares to the retail traders.
Rich Robin Index, The Crypto Fear & Greed Index with RSI Trend The Relative Strength Index (RSI) is a technical indicator based on price movements that is used to determine whether a particular asset is overbought or oversold. It measures the ratio of rising to falling prices over a certain period of time.
The Fear & Greed Index, on the other hand, is a composite index that tracks the sentiment of the crypto market. It is based on seven indicators, each of which measures a different aspect of market behavior. These indicators are: Safe Haven Demand, Stock Price Breadth, Market Momentum, Stock Price Strength, Put and Call Options, Junk Bond Demand, and Market Volatility.
The combination of the RSI and the Fear & Greed Index can provide valuable insights for crypto traders. The RSI can help identify overbought and oversold conditions, while the Fear & Greed Index can give an overall sense of the sentiment in the market. Together, they can provide a more complete picture of the market conditions. For example, if the RSI is indicating that an asset is overbought, but the Fear & Greed Index is showing that the market is still in a state of fear, it may be a good time to sell. On the other hand, if the RSI is indicating that an asset is oversold, but the Fear & Greed Index is showing that the market is in a state of greed, it may be a good time to buy.
Overall, the combination of the RSI and the Fear & Greed Index can provide useful information for traders to make more informed decisions, by giving a sense of the market conditions, and providing a way to identify overbought and oversold conditions.
4 main Stablecoin MarketCapThis indicator summarized 4 main stablecoin marketcap (USDT, USDC , BUSD, DAI).
It is given that most of the transactions of cryptocurrencies are traded by stablecoins, and USDT, USDC , BUSD and DAI shared 90%+ of the stablecoins market capacity. Therefore, by summarizing these 4 main stablecoins total market capacity, can reflect the overall demand power.
When the indicator goes up, it is expected that the overall market demand will increase.
When the indicator goes down, it is expected that the cryptocurrencies market might be in a recession.
This indicator could be more useful in a longer timeframe, day-trade or even shorter might not be the suitable timeframe.
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V2 update
Separate 4 sectors and shadowed in different colors for 4 different stablecoins for more accurated view.
Support/Resistant Zone (Simple)The concepts of trading level support and resistance are undoubtedly two of the most highly discussed attributes of technical analysis.
Support is a price level where a downtrend can be expected to pause due to a concentration of demand or buying interest. As the price of assets or securities drops, demand for the shares increases, thus forming the support line. Meanwhile, resistance zones arise due to selling interest when prices have increased.
There are many ways to identify support and resistance zones. This indicator is a simple method to identify them. Support/Resistant zones will draw basing on the size of the wick for candles, which are Pivots High/Low before.
Volume Price Trend with Divergence and Pivot Points The volume price trend indicator is used to determine the balance between a security’s demand and supply. The percentage change in the share price trend shows the relative supply or demand of a particular security, while volume indicates the force behind the trend. The VPT indicator is similar to the on-balance volume (OBV) indicator in that it measures cumulative volume and provides traders with information about a security’s money flow.
This is Volume Price Trend or VPT recalculated to be an Oscillator, a Divergence hunter was added, also Pivot Points and Alerts.
VPT is considered a "leading indicator" - in contrast to a "lagging indicator" just as Moving Averages it does not show a confirmation what already happened, but it shows what can happen in the future. For example: The chart is climbing while the VPT oscillator is slowly declining, gets weaker and weaker, maybe even prints bearish divergences? That means that a reversal might be occurring soon. Leading indicators are best paired with Stop and Resistance Lines, general Trendlines , Fib Retracements etc...Your chart is approaching a very important Resistance Trendline but the VPT shows a very positive signal? That means there is a high probability that the Resistance is going to be pushed though and becomes Support in the future.
What are those circles?
-These are Divergences. Red for Regular-Bearish. Orange for Hidden-Bearish. Green for Regular-Bullish. Aqua for Hidden-Bullish.
What are those triangles?
- These are Pivots . They show when the VPT oscillator might reverse, this is important to know because many times the price action follows this move.
Please keep in mind that this indicator is a tool and not a strategy, do not blindly trade signals, do your own research first! Use this indicator in conjunction with other indicators to get multiple confirmations.
Freedom of MovementFreedom of Movement Indicator
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In “Evidence-Based Support & Resistance” article, author Melvin Dickover introduces two new indicators to help traders note support and resistance areas by identifying supply and demand pools. Here you can find the support-resistance technical indicator called "Freedom of Movement".
The indicator takes into account price-volume behavior in order to detect points where movement of price is suddenly restricted, the possible supply and demand pools. These points are also marked by Defended Price Lines (DPLs).
DPLs are horizontal lines that run across the chart at levels defined by following conditions:
* Overlapping bars: If the indicator spike (i.e., indicator is above 2.0 or a custom value) corresponds to a price bar overlapping the previous one, the previous close can be used as the DPL value.
* Very large bars: If the indicator spike corresponds to a price bar of a large size, use its close price as the DPL value.
* Gapping bars: If the indicator spike corresponds to a price bar gapping from the previous bar, the DPL value will depend on the gap size. Small gaps can be ignored: the author suggests using the previous close as the DPL value. When the gap is big, the close of the latter bar is used instead.
* Clustering spikes: If the indicator spikes come in clusters, use the extreme close or open price of the bar corresponding to the last or next to last spike in cluster.
DPLs can be used as support and resistance levels. In order confirm and refine them, FoM (Freedom of Movement) is used along with the Relative Volume Indicator (RVI), which you can find here:
Clustering spikes provide the strongest DPLs while isolated spikes can be used to confirm and refine those provided by the RVI. Coincidence of spikes of the two indicator can be considered a sign of greater strength of the DPL.
More info:
S&C magazine, April 2014.
Trading Psychology - Fear & Greed Index by DGTPsychology of a Market Cycle - Where are we in the cycle?
Before proceeding with the question "where", let's first have a quick look at "What is market psychology?"
Market psychology is the idea that the movements of a market reflect the emotional state of its participants. It is one of the main topics of behavioral economics - an interdisciplinary field that investigates the various factors that precede economic decisions. Many believe that emotions are the main driving force behind the shifts of financial markets and that the overall fluctuating investor sentiment is what creates the so-called psychological market cycles - which is also dynamic.
Stages of Investor Emotions:
* Optimism – A positive outlook encourages us about the future, leading us to buy stocks.
* Excitement – Having seen some of our initial ideas work, we begin considering what our market success could allow us to accomplish.
* Thrill – At this point we investors cannot believe our success and begin to comment on how smart we are.
* Euphoria – This marks the point of maximum financial risk. Having seen every decision result in quick, easy profits, we begin to ignore risk and expect every trade to become profitable.
* Anxiety – For the first time the market moves against us. Having never stared at unrealized losses, we tell ourselves we are long-term investors and that all our ideas will eventually work.
* Denial – When markets have not rebounded, yet we do not know how to respond, we begin denying either that we made poor choices or that things will not improve shortly.
* Fear – The market realities become confusing. We believe the stocks we own will never move in our favor.
* Desperation – Not knowing how to act, we grasp at any idea that will allow us to get back to breakeven.
* Panic – Having exhausted all ideas, we are at a loss for what to do next.
* Capitulation – Deciding our portfolio will never increase again, we sell all our stocks to avoid any future losses.
* Despondency – After exiting the markets we do not want to buy stocks ever again. This often marks the moment of greatest financial opportunity.
* Depression – Not knowing how we could be so foolish, we are left trying to understand our actions.
* Hope – Eventually we return to the realization that markets move in cycles, and we begin looking for our next opportunity.
* Relief – Having bought a stock that turned profitable, we renew our faith that there is a future in investing.
It's hard to predict with certainty where we exactly are in the market cycle, we can only make an educated guess as to the rough stage based on data available. And here comes the study "Trading Psychology - Fear & Greed Index"
Factors taken into account in this study include:
1-Price Momentum : Price Divergence/Convergence versus its Slow Moving Average
2-Strenght : Rate of Return (RoR) also called Return on Investment (ROI) is a performance measure used to evaluate the efficiency of an investment, net gain or loss of an investment over a specified time period, the rate of change in price movement over a period of time to help investors determine the strength
3-Money Flow : Chaikin Money Flow (CMF) is a technical analysis indicator used to measure Money Flow Volume over a set period of time. CMF can be used as a way to further quantify changes in buying and selling pressure and can help to anticipate future changes and therefore trading opportunities. CMF calculations is based on Accumulation/Distribution
4-Market Volatility : CBOE Volatility Index (VIX), the Volatility Index, or VIX, is a real-time market index that represents the market's expectation of 30-day forward-looking volatility. Derived from the price inputs of the S&P 500 index options, it provides a measure of market risk and investors' sentiments. It is also known by other names like "Fear Gauge" or "Fear Index." Investors, research analysts and portfolio managers look to VIX values as a way to measure market risk, fear and stress before they take investment decisions
5-Safe Haven Demand : in this study GOLD demand is assumed
What to look for :
*Fear and Greed Index as explained above,
*Divergencies
Tool tip of the label displayed provides details of references
Conclusion:
As investors, we always get caught up in the day to day price movements, and lose sight of the bigger picture. The biggest crashes happen not when investors are cautious and fearful, it's when they're euphoric and expecting financial instruments to continue going higher. So as we continue investing, don’t forget to stop and ask yourself, where in the chart do you think we are right now? The Market Psychology Cycle shines light on how emotions evolve, fear and greed index can come in handy, provided that it is not the only tool used to make investment decisions. It is easy to look back at market cycles and recognize how the overall psychology changed. Analyzing previous data makes it obvious what actions and decisions would have been the most profitable. However, it is much harder to understand how the market is changing as it goes - and even harder to predict what comes next. Many investors use technical analysis (TA) to attempt to anticipate where the market is likely to go. Investors are advised to keep tabs on fear for potential buying the dips opportunities and view periods of greed as a potential indicator that financial instruments might be overvalued.
Warren Buffett's quote, buy when others are fearful, and sell when others are greedy
Trading success is all about following your trading strategy and the indicators should fit within your trading strategy, and not to be traded upon solely
Disclaimer : The script is for informational and educational purposes only. Use of the script does not constitute professional and/or financial advice. You alone have the sole responsibility of evaluating the script output and risks associated with the use of the script. In exchange for using the script, you agree not to hold dgtrd TradingView user liable for any possible claim for damages arising from any decision you make based on use of the script
RedK_AvgMoneyFlow Oscillator v1This is a compact & simple study that tracks the short-term average price change and the (average) volume associated with it, to generate a very clear signal when a change of buying/selling flow is detected. these buy/sell cycles can happen within a longer "demand / trend-up" or "supply / trend down" phases as we know.
this concept is a bit different from MFI or CMF. The math we use here is simpler, and more "relative" and short-term focused, deliberately.
how does it work
===============
once the average price change and the average volumes are calculated for the specified length, we then turn that into a +100/-100 oscillator format - using the stoch() function - which helps to generate a clearly identifiable unambiguous signal (crossing the zero line up or down) that help traders (mainly with entries)
-- the stoch() function also makes the oscillator "relative" to the specified period length, meaning, we can be in a uptrend (demand mode) and the MFO is showing flow "out" (negative) - that's specific to the short-term period - and that's exactly what i was trying to see
- the thinking here is that the best spot to go long is when the existing selling has been depleted and no more supply exists (during an uptrend), and vice verca.
- other stuff: i use WMA() throughout the script -- and we apply a smoothing for the final plot. keep smoothing to a minimum to avoid unnecessary lag in the signals
- the signal should be considered *after* a bar is fully closed.
Suggested Use
==============
i suggest you use this in combination with other indicators that can show the overall short-term and long-term bias (for example, i use the Ribbon here for that) - and take only entry signals in the same direction - a signal to go long, for example, would be when the bias / trend is up *and* the MFO crosses the zero line *going up* .. you may need to wait for that setup to show before you hit the trigger.
another benefit here, is that MFO will also detect strengths and weaknesses - when we see diversion with price movement. this shows couple of times in the example below
Please Note
============
i do not do short-term trading / scalping - those who do, i hope may find this useful - if you decide to use it and you do find it useful, please post feedback here for the common learning
Good luck!
Gap driven intraday trade (better in 15 Min chart)// Based on yesterday's High, Low, today's open, and Bollinger Band (20) in current minute chart,
// Defined intraday Trading opportunity: Stop, Entry, T0, Target (S.E.T.T)
// Back test in 60, 30, 15, 5 Min charts with SPY, QQQ, XOP, AAPL, TSLA, NVDA, UAL
// In 60 and 30 min chart, the stop and target are too big. 5 min is too small.
// 15 min Chart is the best time frame for this strategy;
// -------------------------------------------------------------------------------
// There will be Four lines in this study:
// 1. Entry Line,
// 1.1 Green Color line to Buy, If today's open price above Yesterday's High, and current price below BB upper line.
// 1.2 Red Color line to Short, if today's open price below Yesterday's Low, and current above BB Lower line.
//
// 2. Black line to show initial stop, one ATR in current min chart;
//
// 3. Blue Line (T0) to show where trader can move stop to make even, one ATR in current min chart;
//
// 4. Orange Line to show initial target, Three ATR in current min chart;
//
// Trading opportunity:
// If Entry line is green color, Set stop buy order at today's Open;
// Whenever price is below the green line, Prepare to buy;
//
// If Entry line is Red color, Set Stop short at today's Open;
// Whenever price is above the red line, Prepare to short;
//
// Initial Stop: One ATR in min chart;
// Initial T0: One ATR in min chart;
// Initial Target: Three ATR in min chart;
// Initial RRR: Reward Risk Ratio = 3:1;
//
// Maintain: Once the position moves to T0, Move stop to "Make even + Lunch (such as, Entry + $0.10)";
// Allow to move target bigger, such as, next demand/supply zone;
// When near target or demand/supply zone or near Market close, move stop tightly;
//
// Close position: Limit order filled, or near Market Close, or trendline break;
//
// Key Step: Move stop to "Make even" after T0, Do not turn winner to loser;
// Willing to "in and out" many times in one day, and trade the same direction, same price again and again.
//
// Basic trading platform requests:
// To use this strategy, user needs to:
// 1. Scan Stocks Before market open:
// Prepare a watch list for top 10 ETF and Top 90 stocks which are most actively traded.
// Stock might be limited by price range, Beta, optionable, ...
// Before market open, Run a scan for these stocks, find which has GAP and inside BB;
// create watch list for that day.
//
// 2. Attach OSO and OCO orders:
// User needs to Send Entry, Stop (loss), and limit (target) orders at one time;
// Order Send order ( OSO ): Entry order sends Stop order and limit order;
// Order Cancel order ( OCO ): Stop order and limit order, when one is filled, it will cancel the other instantly;
Dynamic Support and ResistanceSupport is a price level where a downtrend can be expected to pause due to a concentration of demand or buying interest. As the price of assets or securities drops, demand for the shares increases, thus forming the support line.
Meanwhile, resistance zones arise due to selling interest when prices have increased.s their name implies, dynamic support and resistance levels change their level with each new price-tick.To draw dynamic support and resistance levels, traders usually use moving averages which are automatically drawn by your trading platform. The 200-day exponential moving average (EMA), 100-day EMA, and 20-30-40-50-day EMA are very popular dynamic support and resistance levels.also in some references Williams Fractal level used for dynamic support and resistance levels. and it also includes other support and resistance levels that are projected based on the pivot point calculation. All these levels help traders see where the price could experience support or resistance. Similarly, if the price moves through these levels it lets the trader know the price is trending in that direction.
VPT and Heiken Ashi Candles MTFThe volume price trend indicator is used to determine the balance between a security’s demand and supply. The percentage change in the share price trend shows the relative supply or demand of a particular security, while volume indicates the force behind the trend. The VPT indicator is similar to the on-balance volume (OBV) indicator in that it measures cumulative volume and provides traders with information about a security’s money flow
So we put the VPT and add HA candles with non repainting MTF , the crossing up or down of the VPT over candles create the signals
since VPT tend to overshoot you can smooth it with Leni..(just give the smoothing of the length this stupid name:) )
alerts inside
just example of play with MTF and the smooth of VPT
PanjiAlgo V2 [Alpha]PanjiAlgo V2 is a confluence-based toolkit that combines EMA trend, institutional order blocks, and smart zone visualization in a single indicator.
Core logic:
• Trend Filter – 9-period EMA with optional smoothing (SMA / EMA / RMA / WMA / VWMA) and EMA-based Bollinger Bands to track dynamic structure and volatility.
• Order Blocks – integrated LuxAlgo Order Block Detector logic (used under CC BY-NC-SA 4.0 license) to highlight bullish and bearish institutional zones with extendable boxes and average lines.
• Smart BUY Triggers – BUY labels only appear when price is:
1) Trading above the EMA (trend up),
2) Retracing back into the most recent bullish order block, and
3) Touching or interacting with the EMA at that zone.
This design helps you focus on high-probability pullbacks into institutional demand areas instead of chasing price. PanjiAlgo V2 is a decision-support tool only and does not gu
Thirdeyechart Gold – MasterclassThe XAU Masterclass Trend Table is the ultimate TradingView indicator for gold traders who demand precision, speed, and clarity. This special edition builds on all previous versions by enabling fast detection of strong and weak trends across multiple timeframes, making it a true masterclass tool for serious traders.
This indicator tracks gold across Daily (D), 1-Hour (H1), 4-Hour (H4), and Weekly (W) timeframes, providing a comprehensive view of both short-term and long-term market movements. The Total Average Calculation consolidates data from all timeframes, allowing traders to instantly see the overall trend strength of XAU. Positive movements are highlighted in blue, negative movements in red, while the Total Average gives a quick read of market momentum.
Version Masterclass features a solid, boxed layout, keeping all information organized and visually clear on the chart. Traders can monitor XAU/USD, XAU/JPY, XAU/EUR, and other XAU-related pairs efficiently, making it easier to plan entries, exits, and position sizing. The design is optimized for speed, allowing users to detect trend shifts faster than ever before.
This indicator is coded personally using advanced custom formulas for maximum precision and performance. It is ideal for intraday, swing, and long-term gold traders who want a professional-grade tool to analyze XAU movements globally.
This script is purely informational and educational. It does not provide buy or sell signals and does not guarantee profits. Users must perform their own analysis and apply proper risk management before making trading decisions.
Disclaimer / Copyright:
© 2025 Thirdeyechart. All rights reserved. Redistribution, copying, or commercial use of this code without permission is strictly prohibited. The author is not responsible for any trading losses or financial decisions made based on this script.
Strat Reversal MTF TableStrat Reversal MTF Table — Your Complete Multi-Timeframe Strat Command Center
Take your Strat trading to the next level with an indicator that shows every reversal, on every timeframe, in one powerful visual dashboard.
Designed for traders who demand speed, clarity, and full Strat alignment, the Strat Reversal MTF Table instantly identifies all major bullish and bearish reversal patterns:
Bullish Patterns
2-1-2
3-1-2
1-3-2
3-2-2
Bearish Patterns
2-1-2
3-1-2
1-3-2
3-2-2
Each signal is displayed with:
Clear pattern name (e.g., “2-1-2 Bull”)
Automatic trigger price
Timeframe label
Color-coded background (Bullish / Bearish / Neutral)
Whether you trade options, equities, futures, or crypto, this indicator makes it effortless to see what’s flipping — and where the strongest setups are emerging.
🔥 Key Features
📊 Multi-Timeframe Scanning (1 min → Daily)
Monitor 7 customizable timeframes at once.
From scalping to swing trading, you always know which timeframe is turning.
⚡ Real-Time OR Close-Confirmed Logic
Choose your style:
Realtime (Wick Mode) → Fast entries
Close-Confirmed → Stronger validation
Ideal for traders who want precision on any timeframe.
🎨 Clean & Customizable Dashboard
Move the table anywhere on the chart
Adjust text size
Choose your own colors
Lightweight and non-intrusive
A perfect blend of simplicity and power.
📩 Instant Alerts, Built In
Get notified instantly when:
Any timeframe reverses
A specific timeframe flips
Multiple reversals fire across the stack
The indicator works great with TradingView’s push notifications, email, and webhooks.
🎯 What This Helps You Do
✔ Catch Strat reversals as they happen
✔ Quickly spot full-timeframe alignment
✔ Improve your entries for options plays
✔ Avoid chop by reading higher-timeframe intent
✔ Trade more confidently with automated trigger levels
This indicator is built for Strat traders who want to trade smarter, faster, and cleaner.
✨ Perfect For
Strat Traders
Options Traders
Futures Scalpers
Intraday & Swing Traders
Quant/Algo-inspired traders
Anyone following Rob Smith’s methodology
Gold Correlation Dashboard + Alerts [XAUUSD Helper]這是一個專為黃金 (XAUUSD) 交易者設計的 **跨市分析儀表板 (Intermarket Correlation Dashboard)**。
這個指標的核心邏輯基於基本面與資金流向,協助交易者在 10 秒內快速判斷黃金的當前趨勢。它自動監控與黃金高度負相關的資產(美元、美債、日圓),並在圖表上直接顯示多空傾向。
### 📊 監控資產與邏輯
本腳本即時抓取以下關鍵市場數據,並分析其對黃金的影響:
1. **DXY (美元指數)**:黃金最大競爭對手。
- DXY 跌 📉 → 黃金偏多
- DXY 漲 📈 → 黃金偏空
2. **US10Y (10年期美債殖利率)**:黃金的持有成本指標。
- 殖利率跌 📉 → 黃金偏多
- 殖利率漲 📈 → 黃金偏空
3. **USDJPY (美日)** & **USDCHF (美瑞)**:避險資金流向參考。
- 匯率跌 (日圓/瑞郎強) 📉 → 黃金偏多
4. **VIX (恐慌指數)**:市場情緒指標。
- VIX 飆升 📈 → 黃金通常受惠 (避險屬性)
### 🚀 主要功能
1. **即時儀表板**:無需切換視窗,直接在黃金圖表角落查看所有關鍵資產的漲跌狀態。
2. **智能信號總結**:
- 系統會自動計算 **DXY + US10Y + USDJPY** 的綜合方向。
- 當這三大核心指標方向一致時,系統會顯示 **★ STRONG BUY (強力做多)** 或 **★ STRONG SELL (強力做空)**。
- 根據歷史經驗,當這三者同步時,趨勢準確度極高。
3. **警報系統 (Alerts)**:
- 內建警報功能,當出現「強力做多」或「強力做空」信號時,可設定推播通知,不錯過進場機會。
### ⚙️ 如何使用
- 將此指標加載到 XAUUSD (黃金) 的圖表上。
- 建議搭配 H1, H4 或 Daily 時框使用。
- **綠色背景** = 利多黃金 (Bullish)
- **紅色背景** = 利空黃金 (Bearish)
---
*免責聲明:此腳本僅供輔助分析與教育用途,不構成任何投資建議。交易請做好風險控管。*
**Gold (XAUUSD) Intermarket Correlation Dashboard & Alerts**
This indicator is designed for Gold traders who want to combine Technical Analysis with **Fundamental Intermarket Analysis**. It provides a real-time dashboard overlay that monitors key assets highly correlated with XAUUSD.
According to market logic, Gold is heavily influenced by the US Dollar (DXY), US Treasury Yields (US10Y), and global risk sentiment (USDJPY/VIX). This script helps you spot the trend in seconds.
### 📊 Monitored Assets & Logic
The dashboard tracks the real-time direction of the following assets and calculates their impact on Gold:
1. **DXY (US Dollar Index)**: Inverse correlation.
* DXY ↓ = Bullish for Gold
* DXY ↑ = Bearish for Gold
2. **US10Y (US 10-Year Treasury Yield)**: Inverse correlation (Cost of Holding).
* Yields ↓ = Bullish for Gold
* Yields ↑ = Bearish for Gold
3. **USDJPY & USDCHF**: Risk sentiment and currency flow.
* Pair ↓ (Strong JPY/CHF) = Bullish for Gold
4. **VIX (Volatility Index)**: Fear gauge.
* VIX ↑ = Generally Bullish for Gold (Safe Haven demand)
### 🚀 Key Features
**1. Real-Time Dashboard**
View the status of all 5 key assets directly on your XAUUSD chart without switching tabs. The dashboard indicates the "Gold Bias" (Bullish/Bearish) for each asset based on the current timeframe.
**2. Smart Bias Signal ("The 3-Storyline Confirmation")**
The script automatically analyzes the three most critical indicators: **DXY, US10Y, and USDJPY**.
* **★ STRONG BUY ★**: When DXY, US10Y, and USDJPY are **ALL Falling** simultaneously. (High probability setup).
* **★ STRONG SELL ★**: When DXY, US10Y, and USDJPY are **ALL Rising** simultaneously.
**3. Integrated Alerts**
Never miss a setup. You can set alerts to notify you immediately when the "Strong Buy" or "Strong Sell" conditions are met.
### ⚙️ How to Use
1. Add this script to your XAUUSD chart.
2. Works best on H1, H4, or Daily timeframes.
3. Look for the **Summary Row** at the bottom of the dashboard:
* **Green (Strong Buy)**: Look for Long entries.
* **Red (Strong Sell)**: Look for Short entries.
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*Disclaimer: This script is for educational and informational purposes only. It does not constitute financial advice. Always manage your risk.*
Etwas31 Precision zones and trendTitle: Etwas31 Precision zones and trend
Overview: Get a complete market overview at a single glance. This script combines a comprehensive trend/volatility dashboard with automated, high-precision supply and demand zones. It filters out noise and highlights key market structures to improve your trading accuracy.
Key Features:
1. 📊 Advanced MTF Dashboard (5m - 1W)
Trend Monitor: Uses EMA 20 & 50 alignment to accurately detect Bullish, Bearish, or Neutral (Choppy) markets. No more guessing the trend.
Volatility Scanner: Utilizing ATR logic, it signals whether the market is active (High ⚡) or dormant (Low 💤) for each timeframe.
2. 🎯 Precision Support & Resistance Zones
Real Structure: Unlike simple lines, zones are drawn based on candle wicks (High to Body / Low to Body) to reflect the actual "thickness" of market interest.
Visual Hierarchy:
Weak Zones (15m, 30m): Displayed as Hollow/Dashed boxes. Ideal for scalping or short-term targets.
Strong Zones (1H, 4H, 1D, 1W): Displayed as Solid/Filled boxes. These are key levels for reversals and major trend continuation.
Auto-Extension: Zones automatically extend to the current price action for easy tracking.
3. ⚙️ Customizable & Clean
Fully customizable colors and visibility settings.
Optimized to prevent chart clutter while providing maximum information.
How to Use:
Use the Dashboard to align your trades with the higher timeframe trend (e.g., trade with the 4H trend).
Wait for Volatility (⚡) to confirm momentum.
Enter trades when price reacts at Solid Zones (Strong S/R) or use Hollow Zones for intraday scalp targets.
Advanced Triple Strategy ScalperHere are the three scalping strategies presented in the video "3 Scalping Strategies That Work Every Day (Backtested & Proven)" by Asia Forex Mentor – Ezekiel Chew:
### Scalper’s Trend Filter (Triple EMA)
This strategy uses three EMAs (25, 50, 100) on the 5-minute chart to filter high-probability trades aligned with momentum .
- Only trade when all three EMAs are angled in the same direction and clearly separated (no crossing or tangling) .
- Enter when price pulls back toward the 25 or 50 EMA and then bounces back toward the 25 EMA, but do not enter if price closes below the 100 EMA .
- Set stop-loss just below the 50 EMA or swing low and aim for a risk-to-reward ratio of 1:1.5 .
### Flip Zone Trap (Reversal Catching)
This method identifies precise reversal moments where market structure shifts from weakness to strength .
- Use the 15-min chart to locate key support or resistance zones where price previously reacted .
- Wait for price to stop making lower lows and begin making higher highs (or vice versa for shorts); confirm with a trendline break AND follow-through (higher lows & highs within 5-7 candles) .
- Use confirmation candles (bullish engulfing, pin bar rejection) at the zone before entry .
### Liquidity Shift Trigger (Smart Money Trap)
This system leverages institutional stop hunts and liquidity sweeps at key zones for sniper entries .
- Start with a 15-min chart to identify structure breaks and points of interest (order blocks, flip zones, demand zones) .
- Drop to 1-min chart and wait for price to enter the refined zone and sweep liquidity (sharp wick/spike below/above key level) .
- Once liquidity is swept, wait for a clean structure shift (break of most recent internal high or low) within 5–6 candles—if confirmed, refine entry to the candle that caused the break and enter when price returns to that candle with a strong reaction .
***
### Practical Application
- These strategies are systematic, rule-based, and designed to cut out fake moves, avoid early stop-outs, and align entries with momentum and institutional activity .
- Perfect for short timeframes and volatile pairs like XAUUSD, especially if paired with additional confirmation from other technical analysis tools .
All three strategies emphasize filtering noise, waiting for momentum/trend confirmation, and avoiding impulsive entries—key principles for consistent scalping success






















