Extreme Reversal SignalThe Extreme Reversal Signal is designed to signal potential pivot points when the price of an asset becomes extremely overbought or oversold. Extreme conditions typically signal a brief or extensive price reversal, offering valuable entry or exit points. It's important to note that this indicator may produce multiple signals, making it essential to corroborate these signals with other forms of analysis to determine their validity. While the default settings provide valuable insights, it might be beneficial to experiment with different configurations to ensure the indicator's efficacy.
Two primary conditions define extremely overbought and oversold states. The first condition is that the price must deviate by two standard deviations from the 20-day Simple Moving Average (SMA). The second condition is that the 3-day SMA of the 14-day Stochastic Oscillator (STO) derived from the 14-day Relative Strength Index (RSI) is above or below the upper or lower limit.
Oversold states arise when the first condition is met and the 3-day SMA of the 14-day Stochastic RSI falls below the lower limit, suggesting a buy signal. These are visually represented by green triangles below the price bars. Overbought states arise when the first condition is met and the 3-day SMA of the 14-day Stochastic RSI rises above the upper limit, suggesting a sell signal. These are visually represented by red triangles above the price bars. It's also possible to set up automated alerts to get notifications when either of these two conditions is met to avoid missing out.
While this indicator has traditionally identified overbought and oversold conditions in various different assets, past performance does not guarantee future results. Therefore, it is advisable to supplement this indicator with other technical tools. For instance, trend indicators can greatly improve the decision-making process when planning for entries and exit points.
Titik Pivot
Price breakout and reversal [TCS] | PAThis indicator is designed to identify potential breaks and reversals in price movements for a financial instrument.
The indicator displays several elements to assist users in spotting specific market conditions:
1. High and Low Pivots : The indicator marks the highest and lowest points on the price chart within a customizable lookback period. These pivots represent important turning points in the price movement and serve as reference levels for potential breakouts and reversals.
2. Fair Value Line : A horizontal line is drawn at the midpoint between the high and low pivots. This line represents the "fair value" based on the recent price action. Traders may consider this level as a reference for evaluating the price's deviation from its average value.
3. Bullish Breakouts : When the closing price of the financial instrument crosses above the high pivot the indicator identifies a potential bullish breakout. This suggests a possible buying opportunity.
4. Bearish Breakouts : Conversely, a bearish breakout is identified when the closing price crosses below the low pivot. This may indicate a selling opportunity.
5. Fair Value Breakouts : In addition to regular breakouts, the indicator can detect breakouts based on the fair value line. If the closing price crosses above or below the fair value line, it may signal a fair value breakout, indicating the price's potential return to its average level.
6. Reversals : Reversal patterns are essential in technical analysis. The indicator identifies potential bullish and bearish reversals .
The indicator enhances its visual signals with geometric shapes (triangles and diamonds) placed above or below the price bars to represent different types of breakouts and reversals.
Moreover, the indicator can be configured to send alerts to the user when any of these specific events occur, helping traders stay informed and respond promptly to potential trading opportunities.
Please note that this code is for educational purposes only and should not be used for trading without further testing and analysis.
[volfgang] WAVE ScannerThe Wave Scanner helps you make more informed decisions about when to buy and sell.
This indicator operates on a series of inputs and global variable declarations. Based on the same parameters as the WAVE Indicator. It uses different parameters such as the closing price, Stochastic Momentum Index, and smoothing factors such as the EMA to calculate the potential trade signals.
The scanner allows you to adjust the thresholds for bullish and bearish counts, which can be tailored to your personal trading strategy.
The minimum value is 4 and maximum is 8.
In total you can use 8 different timeframes for your signals from the following;
3D
1D
12h
8h
4h
1h
15m
5m
The scanner's unique ability to scan across multiple timeframes is what makes this indicator unique. This multi timeframe analysis can be incredibly useful for identifying broader trends in the market.
The Wave Scanner settings also includes inputs for you to enter risk management settings, including your total capital and the risk percentage you are willing to take per trade. It uses this information to display data in a label on the chart including;
Position Size
Stop Loss Level
Potential Profit
Risk Reward Ratio
On your chart, the WAVE Scanner will plot the ideal Entry Levels, Stop Loss and Take Profit Levels by calculating Fibonacci Levels, which is a popular tool for identifying potential support and resistance levels.
These are marked as follows;
GREEN Lines: Entry Levels
PINK Line: Stop Loss (can be customized in the settings)
GREY Line: Breakeven Level (move SL to breakeven at this level)
BLUE Line: Take Profit Level
So, if you're a trader looking to level up your strategy, the Wave Scanner is a tool you won't want to miss out on.
Gradient Money Flow Divergence DetectorThe "Gradient Money Flow Divergence Detector" indicator has several use cases for traders. Let's explore the main use cases:
1. Money Flow Analysis : The primary purpose of this indicator is to analyze money flow in a particular asset. The Money Flow Index (MFI) is a momentum indicator that uses price and volume data to assess the buying and selling pressure in a market. Traders can use the MFI to identify overbought and oversold conditions, potential trend reversals, and divergences between the MFI and price movement.
2. Divergence Detection : The indicator incorporates a divergence detection mechanism for multiple timeframes (micro, sub-mid, mid, and macro). Divergence occurs when the price movement and an indicator (MFI in this case) move in opposite directions, signaling a potential shift in the price trend. Traders can use divergences to anticipate trend reversals or trend continuation.
3. Multiple Lookback Analysis : The indicator allows traders to assess divergences and money flow trends across various time horizons by providing divergence detection for different lengths. This can help traders identify confluence areas where divergences align on multiple timeframes, strengthening the potential signal.
4. Overbought and Oversold Conditions : The indicator plots horizontal lines at MFI levels of 20, 50, and 80. These levels can be used to identify overbought (MFI above 80) and oversold (MFI below 20) conditions. Traders may look for potential reversal signals when the MFI reaches extreme levels.
5. Confirmation of Price Trends : The indicator's color gradient visually represents the MFI value, which can help traders confirm the strength of a prevailing price trend. For example, an uptrend with a consistently high MFI might suggest strong buying pressure, reinforcing the bullish bias.
6. Fine-Tuning Divergence Signals : Traders can adjust the parameters of divergence detection (e.g., pivot points, rangeUpper, rangeLower) to fine-tune the sensitivity of the divergence signals. This allows for greater customization based on individual trading preferences.
7. Combining with Other Indicators : The indicator can be used in combination with other technical indicators or price action analysis to strengthen trading decisions. For example, traders may look for divergences in conjunction with support and resistance levels or chart patterns to increase the probability of successful trades.
8. Trend Reversal Confirmation : When a divergence is detected, it may indicate a potential trend reversal. Traders can use other confirmation signals (e.g., candlestick patterns, trendline breaks) to validate the reversal before making trading decisions.
Remember that no single indicator should be used in isolation, and it's essential to use the indicator in combination with other confirmations such as support and resistance, and analysis methods for more robust trading strategies. Additionally, thorough backtesting and practice in a demo environment are recommended before using the indicator in live trading.
Pivots Support Resistance ZoneThis simple script base on function of Pivot High Low to plot Support and Resistance Zone on chart with detail as below:
1. Support Zone
+ New Pivot Low is plotted
+ New Pivot Low lower previous Pivot Low
+ Upper Line of Support Zone is previous Pivot Low
+ Lower Line of Support Zone is new Pivot Low
2. Resistance Zone
+ New Pivot High is plotted
+ New Pivot High higher previous Pivot High
+ Upper Line of Resistance Zone is new Pivot High
+ Lower Line of Resistance Zone is previous Pivot High
Market Smith IndicatorsMarket Smith has a collection of tools that are useful for identifying stocks. On their charts they have a 21/50/200 day moving averages, high and low pivot points, a relative strength line, and a relative strength rating. This script contains indicators for the following:
21/50/200 Day Moving Averages
High and Low pivot points
A Relative Strength line
A Relative Strength rating
21/50/200 Day Moving Averages
The 21/50/200 Day moving averages are simple moving averages. They are visible in any chart increment but to use them properly you need to set you charts to be by day. Labels will appear on the right of the lines to show that they are representative of 21/50/200 day moving averages.
High and Low pivot points
The High and Low pivot points are green for high pivot points and red for low points. They are show in the Market Smith style with the numbers simply above the pivot points.
Relative Strength line
The Relative Strength line is a line that shows the strength of the stock compared to the S&P 500. In this case we utilize the SPX ticker to compare the stock to. This line is almost identical to the Market Smith tool and is an excellent tool to determine how a stock is doing compared to the market. When movements in the stock and shown with sideways trending of the RS line that means that the stock is following the market. When a stock is outperforming the market the RS line will follow.
Relative Strength rating
Thank you to ©Fred6724 for the RS Rating inspiration. They wrote excellent open source code for a RS Rating comparable to Market Smith. As the RS Rating in Market Smith is not open source it is difficult to know exactly how it is being calculated. After simplifying Fred's code and building upon a few ideas I had I compared the RS Rating to multiple Market Smith Ratings. The rating is close but often off by multiple points. If there is anyone who has a better idea on how to get this rating or how to improve on the code please send me a PM or fork this project. This rating is a good indicator to see how a certain stock compares to other stocks in the market. In Market Smith they are able to utilize their database to compare it to all other stocks. Since we do not have access to the same tools we are only able to compare it to the percentage of stocks above the 200, 150, 100, 50, and 20 day moving average.
Using these tools together are a small fraction what make people like Bill O'neill and Jim Roppel so successful. I plan on updating the RS Rating as I continue to work on this project so if there is anyone who has ideas then please send me a PM. Ultimately the goal of this project is to have a solution that is identical to Market Smith.
Pivot HL Trading SetupThis simple script base on function of Pivot High Low to plot Trading Setup on chart with detail as below:
2. Trading Setup
2.1 Buy setup
+ New Pivot Low is plotted
+ Entry Long at market price.
+ Stoploss at Pivot Low
+ Takeprofit at Pivot High
+ Buy setup invalidation when price crossed Pivot High or Pivot Low
2.1 Sell setup
+ New Pivot High is plotted
+ Entry Short at market price.
+ Stoploss at Pivot High
+ Takeprofit at Pivot Low
+ Sell setup invalidation when price crossed Pivot High or Pivot Low
K's Pivot PointsPivot points are a popular technical analysis tool used by traders to identify potential levels of support and resistance in a given timeframe. Pivot points are derived from previous price action and are used to estimate potential price levels where an asset may experience a reversal, breakout, or significant price movement.
The calculation of pivot points involves a simple formula that takes into account the high, low, and close prices from the previous trading session or a specific period. The most commonly used pivot point calculation method is the "Standard" or "Classic" method. Here's the formula:
Pivot Point (P) = (High + Low + Close) / 3
In addition to the pivot point itself, several support and resistance levels are calculated based on the pivot point value.
K's Pivot Points try to enhance them by incorporating multiple elements and by applying a re-integration strategy to validate two events:
* Found_Support: This event represents a basing market that is bound to recover or at least shape a bounce.
* Found_Resistance: This event represents a toppish market that is bound to consolidate or at least shape a pause.
K's Pivot Points are calculated following these steps:
1. Calculate the highest of highs for the previous 24 periods (preferably hours).
2. Calculate the lowest of lows for the previous 24 periods (preferably hours).
3. Calculate a 24-period (preferably hours) moving average of the close price.
4. Calculate K's Pivot Point as the average between the three previous step.
5. To find the support, use this formula: Support = (Lowest K's pivot point of the last 12 periods * 2) - Step 1
6. To find the resistance, use this formula: Resistance = (Highest K's pivot point of the last 12 periods * 2) - Step 2
The re-integration strategy to find support and resistance areas is as follows:
* A support has been found if the market breaks the support and shapes a close above it afterwards.
* A resistance has been found if the market surpasses the resistance and shapes a close below it afterwards.
The lookback period (whether 24 and 12) can be modified but the default versions work well.
Bank Nifty ScalpingThis indicator is designed for scalping purposes.
Users have the option to input the desired source and enable or disable the following indicators:
Multiple EMA (Exponential moving average)
Simultaneously displays multiple moving averages to quickly identify shifts in momentum and obtain confirmation from slower-moving averages.
By default, the EMA display settings are configured to show the 20-day EMA and the 200-day EMA. However, users have the flexibility to modify the display settings according to their preferences. This means that users can customize the indicator to show the EMA values of their choice, such as EMA 50 and EMA 100.
VWAP ( Volume weighted average price )
Default value is set to ‘hl2’
A bullish trend is indicated when the price is above the Volume Weighted Average Price (VWAP), while a bearish trend is indicated when the price is below the VWAP.
VWMA ( Volume weighted moving average )
In the VWMA (Volume Weighted Moving Average) indicator, a default value of 20 is used. If the price is higher than the VWMA, it typically indicates a bullish trend. Conversely, if the price is lower than the VWMA, it suggests a bearish trend. The VWMA takes into account both price and volume, providing a weighted average that can help identify shifts in market sentiment.
Multiple SuperTrends
Default value is 10 and 2 / 10 and 3
A bullish trend is identified when the price is above the SuperTrend indicator, whereas a bearish trend is observed when the price is below the SuperTrend indicator.
Camarilla Pivot Points (Level 3 and 4 only)
Levels 3 and 4 serve as crucial support and resistance levels, acting as the final line of defense against strong trends. These levels are expected to generate reversals, where price often changes direction.
CPR ( Central Pivot Points)
The Daily Central Pivot Point Indicator is a popular tool used in technical analysis. It calculates several levels based on the previous day's high, low, and closing prices.
Strong Volume
The user has the ability to set the average volume for Nifty and BankNifty indices to calculate strong volume.
Elder Impulse System
The Impulse System, developed by Alexander Elder and discussed in his book "New Trading for a Living," is a censorship trading system designed to determine whether a trade should be allowed or prohibited. Additionally, it can be used to identify when a trend is starting to weaken. The Impulse System relies on the following factors:
1. Slope of a Fast Exponential Moving Average (EMA): The fast EMA's slope reflects the price's inertia or momentum.
2. Slope of the Moving Average Convergence Divergence (MACD): The MACD's slope indicates the strength or power of the price movement.
Based on these factors, the Impulse System categorizes candles or price bars into three colors:
* Green Candle: When both the fast EMA and MACD are rising, indicating upward momentum.
* Red Candle: When both the fast EMA and MACD are declining, suggesting downward momentum.
* Blue Candle: In all other cases where the conditions for green or red candles are not met, representing a neutral or uncertain market condition.
By applying the Impulse System, traders can gain insights into the market trend, its strength, and potential shifts in momentum, helping them make informed trading decisions.
Happy Trading
BE-TrendLines & Price SentimentsOverview
The trendline is one of the most potent and flexible tools in trading. A rising trendline indicates an upward trend, a falling trendline indicates a downward trend, and a flat trendline indicates a range-bound bond market.
Breakouts, price bounces, and reversal / Retest tactics are all types of trades that may be made using a trendline. Additionally, stop-loss and profit-trailing orders can be based on trendlines as support and resistance levels, appropriately.
Technical Calculations for Trendlines & Price Sentiments:
Pivot points for a specified time frame and the Prevailing High/Low for the most recent bars are used to derive trendlines. While Pivot Points alert us to price movements, High/Low tells us where Bulls and Bears find a middle ground. This provides a remarkable set of conditions from which to extrapolate the efficacy of the Trendlines.
The term "price sensitivity" refers to how much a change in the price of a product causes consumers to alter their purchase habits. It's the relationship between price shifts and shifts in consumer demand. So, for example, if a 30% jump in the cost of a product leads to a 10% drop in purchases, we can conclude that the item has a price sensitivity of 0.33%.
Basis the above theoretical statement, If the underlying asset's price drops, the indicator shall compute data on the amount of volume being pumped (Inflow vs Outflow) into the market (if available), or the percentage by which the price has changed. This will be compared to the recent drop rate to see if the behavior has changed at the similar value zone and non similar value zone. similar calculation shall be done if the price of the underlying rises.
Traders may benefit from hearing about Trendlines in their "Story Telling" form, which we now present. To help you comprehend it better, candles are divided into three Sentiment groups based on their color. Colors: Green (with its shades), Silver, and Red (including its shades). Green signifies a Bullish Trend, Silver a neutral trend, and Red a Brearish Trend.
Bullish Trend
Bearish Trend
Neutral Trend
Sentiment Price Cycle in Trending Market: Green (Directional Bullish), Dark Green (Bullish Trend Loosing its Strength), Silver (Neutral Trend), Red (Directional Bearish), Dark Red (Bearish Trend Loosing its Strength)
Sentiment Price Cycle in RangeBound Market: Green (Over Brought), Silver (Neutral) & Red (Over Sold)
How to Initiate Trade when price is within TL:
Fake Break Out Trade:
BreakDown Trade:
BreakOut Trade:
Couple of Other Features in the Indicator:
Single Alerts = These are the alerts where in, as and when the Event happens Alerts shall the trigerred. like On BreakOut, BreakDown, TouchOf Up TrendLine, TouchOf DownTrendLine, Retest Of Up TrendLine, Retest of DownTrendLine.
Conditional Alerts = These are those type of Alerts where in you can combine 2 or 3 conditions to trigger an Alert. Like
Sample 1 - After Down TL is tested for 3 times, If BreakOut happens and the setiment turns Bullish within 5 Candles.
Sample 2 - After Up TL is tested for 2 times, If Price Bounces backUp from TL and the setiment turns Bullish within 5 Candles.
Similarly you can customize the combination of events for getting the alert.
DISCLAIMER: No sharing, copying, reselling, modifying, or any other forms of use are authorized for our documents, script / strategy, and the information published with them. This informational planning script / strategy is strictly for individual use and educational purposes only. This is not financial or investment advice. Investments are always made at your own risk and are based on your personal judgement. I am not responsible for any losses you may incur. Please invest wisely.
Happy to receive suggestions and feedback in order to improve the performance of the indicator better.
Trend Channels With Liquidity Breaks [ChartPrime]Trend Channels
This simple trading indicator is designed to quickly identify and visualize support and resistance channels in any market. The primary purpose of the Trend Channels with Liquidity Breaks indicator is to recognize and visualize the dominant trend in a more intuitive and user-friendly manner.
Main Features
Automatically identifies and plots channels based on pivot highs and lows
Option to extend the channel lines
Display breaks of the channels where liquidity is deemed high
Inclusion of volume data within the channel bands (optional)
Market-friendly and customizable colors and settings for easy visual identification
Settings
Length: Adjust the length and lookback of the channels
Show Last Channel: Only shows the last channel
Volume BG: Shade the zones according to the volume detected
How to Interpret
Trend Channels with Liquidity Breaks indicator uses a combination of pivot highs and pivot lows to create support and resistance zones, helping traders to identify potential breakouts, reversals or continuations of a trend.
These support and resistance zones are visualized as upper and lower channel lines, with a dashed center line representing the midpoint of the channel. The indicator also allows you to see the volume data within the channel bands if you choose to enable this functionality. High volume zones can potentially signal strong buying or selling pressure, which may lead to potential breakouts or trend confirmations.
To make the channels more market-friendly and visually appealing, Trend Channels indicator also offers customizable colors for upper and lower lines, as well as the possibility to extend the line lengths for further analysis.
The indicator displays breaks of key levels in the market with higher volume.
Broadening Formations [QuantVue]Broadening formations are common chart patterns observed by technical traders. A broadening formation is formed when the volatility of an asset increases, thus expanding the range of its price resulting in higher highs and lower lows.
The Broadening Trendline indicator, works by looking for pivot points where a higher high or lower low is made compared to the previous pivot point. If a top and bottom line are detected a broadening formation is formed.
Indicator includes alerts, custom colors and styles, the ability to see previous trendlines, and notifications when a trendline is crossed.
Don't hesitate to reach out with any questions or concerns.
We hope you enjoy!
Cheers.
Rolling Pivot PointsStandard Pivot Points are calculated from the previous day’s (week/month/year) close/low/high values. But what is the day close for cryptocurrencies trading 24/7 on exchange? Does it make sense to use a specific time price as a close if it continues trading after that?
So I solved that issue with Rolling Pivot Points, where I calculate pivot points not at the end of the period but for every bar on a rolling basis. Every time I recalculate pivot points, I look at a window of period length in bars and base my calculations on these bars. This way, you get smooth pivot points changing with every bar, and it should better represent support and resistance for the price.
In this indicator, I implement three types of pivot points.
Camarilla
Fibonacci
Traditional
In terms of period, you can select any one you want. If you’ll keep Auto Indicator well, compute period automatically. For two days, for example, use ‘Day’ in Period and 2 in Period Mult parameters.
You can also change the type of MA used to smooth Pivot Points.
Disclaimer
Please remember that past performance may not be indicative of future results.
Due to various factors, including changing market conditions, the strategy may perform less well than in historical backtesting.
This post and the script don’t provide any financial advice.
Tweezer PatternThis is a rudimentary indicator to plot tweezer bottoms and tweezer tops. I use this primarily on the 15 minute, but may be applicable to other timeframes.
Criteria for a Tweezer Bottom:
- We were previously in a downtrend (determined by the color of the previous two candles)
- The current candle is green
- The current and previous candle have lower wicks
- The current candle open is approximately the same as the previous candle close (adjustable through settings)
Criteria for a Tweezer Top:
- We were previously in an uptrend (determined by the color of the previous two candles)
- The current candle is red
- The current and previous candle have upper wicks
- The current candle open is approximately the same as the previous candle close (adjustable through settings)
Potential Improvements:
- Determine trend through TA, for example using SMAs
- Ensure wick length as some percentage of candle height instead of just checking for existence
- Ensure tweezer candle is large or has some required minimum volume to reduce false positives
For any improvements or ideas, feel free to contact me :)
Supply and Demand Deluxe (Stock Justice)Introducing " Supply and Demand Deluxe (Stock Justice) " - the ultimate TradingView indicator that revolutionizes how traders identify crucial supply and demand levels. With its unrivaled capabilities across multiple timeframes, this indicator offers a comprehensive toolkit for traders seeking an edge in the market.
To fully harness the power of "Supply and Demand Deluxe," traders can fine-tune the indicator's input parameters to suit their preferences and trading strategies. Let's delve into the key components and functionalities that make this indicator truly exceptional:
Daily and Weekly Pivots :
The indicator empowers you to plot vital reference points, including the previous week's high and low, yesterday's high and low, and the midpoint of yesterday's range. These plots provide invaluable insights into market sentiment and potential turning points.
Weekly Supply and Demand Levels :
Regardless of what timeframe you are looking at, this indicator allows you to unlock the ability to plot weekly supply and demand levels directly on your chart. Enjoy the freedom to customize the number of levels to plot, choose line colors and styles, and decide whether to extend the lines. For a more comprehensive analysis, enable the "Show Price" option to view the associated prices.
Daily Supply and Demand Levels :
Similar to the weekly levels, this feature allows you to plot daily supply and demand levels with ease. Tailor the number of levels, line colors, and styles to your preferences. The "Extend Left" and "Extend Right" options provide flexibility in determining whether the lines extend to the left, right, or both. Enable the "Show Price" option to display the corresponding prices, enhancing your decision-making process.
Hourly Supply and Demand Levels :
Effortlessly plot hourly supply and demand levels on your chart. The indicator automatically identifies these levels based on the highest and lowest values of previous ranges. Customize the number of levels, line colors, and styles to match your visual preferences. As with the previous features, you can display prices associated with these levels, amplifying your trading insights.
ATR Expected Moves :
Gain a deeper understanding of potential price moves with the ATR Expected Moves feature. Based on the Average True Range (ATR), this functionality allows you to plot expected price ranges. Adjust the lookback length and multipliers to fine-tune the calculation according to your trading style. With the flexibility to extend lines, choose colors and line styles, and display prices, you can adapt the indicator to your specific needs.
Futures Levels :
For futures traders, "Supply and Demand Deluxe" provides specific levels for the Midnight Open, London Open, Asian Open, and the 8:30am EST level. These pre-defined levels act as valuable reference points, enabling you to navigate futures markets with confidence.
By incorporating these cutting-edge features, the Supply and Demand Deluxe indicator by Stock Justice empowers traders to identify key supply and demand levels across various timeframes. Its customizable visual elements and adaptable parameters allow traders to align the indicator with their unique trading strategies, amplifying their potential for success.
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UNIQUENESS
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This one-of-a-kind indicator stands out from existing tools in the market due to its unparalleled combination of features and customization options. While other indicators may focus on specific aspects of supply and demand analysis, "Supply and Demand Deluxe (Stock Justice)" brings together a comprehensive suite of tools that cater to traders across various timeframes. From daily and weekly pivots to hourly supply and demand levels, this indicator covers a wide range of trading scenarios, allowing users to gain a holistic view of market dynamics.
What truly sets "Supply and Demand Deluxe" apart is the fact that it is its emphasis on customization. Traders have the freedom to fine-tune every aspect of the indicator, from the number of plotted levels to the colors, line styles, and extension options. By providing such extensive customization capabilities, this indicator enables traders to align it precisely with their unique trading strategies and preferences. Whether you're an aggressive short-term trader or a patient long-term investor, "Supply and Demand Deluxe" adapts to your individual style, empowering you to make well-informed trading decisions.
Furthermore, the incorporation of the ATR Expected Moves feature adds an extra layer of sophistication to this indicator. By leveraging the Average True Range, traders can gain insights into expected price ranges, enhancing their risk management and trade planning. The ability to adjust the lookback length and multipliers ensures that traders can adapt the ATR calculations to suit their desired level of precision. This feature, combined with the indicator's visual plots and customizable elements, sets "Supply and Demand Deluxe (Stock Justice)" in a league of its own, providing traders with an edge in understanding and navigating the market.
In summary, the uniqueness of "Supply and Demand Deluxe (Stock Justice)" lies in its comprehensive approach to supply and demand analysis, its extensive customization options, and the incorporation of the ATR Expected Moves feature. With its ability to cater to traders across various timeframes and adapt to individual trading styles, this indicator empowers users to unlock the full potential of supply and demand analysis and make informed trading decisions with confidence.
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Embrace the future of trading with "Supply and Demand Deluxe (Stock Justice)" and unleash the full potential of supply and demand analysis in your trading endeavors. Elevate your trading journey with this game-changing indicator.
Weekly Range Support & Resistance Levels [QuantVue]Weekly Range Support & Resistance Levels
Description:
The Weekly Range Support & Resistance Levels analyzes weekly ranges and takes the average range of the last 30 weeks (default setting).
It also takes the average +/- a standard deviation, and creates support & resistance levels/zones based on the weekly opening price.
The levels will update each week, and previous weekly levels can be toggled on or off.
Settings:
🔹Averaging Period
🔹Standard Deviation Multiplier
🔹Toggle Support & Resistance Prices
🔹Show Weekly Open Line
🔹Show Previous Levels
Don't hesitate to reach out with any questions or concerns. We hope you enjoy!
Cheers.
[DisDev] Tactical Analysis Part II: Levels🟩 Tactical Analysis Part II: Levels of the Battlefield represents the evolution of our comprehensive suite, expanding on the success of Tactical Analysis Part I: High-Volume Recovery . This advanced tool seamlessly integrates components from PVSRA, the Market Maker Method by Steve Mauro, and Tino from Traders Reality's Hybrid System, equipping traders with a significant advantage. With Tactical Analysis Part II, you gain access to a diverse range of essential features, including the DisDev Level Reducer™, designed to streamline your chart while ensuring you never overlook a critical level. Prepare to enhance your trading prowess with the power of Tactical Analysis Part II: Levels of the Battlefield.
⚡ OVERVIEW ⚡
Key Features 🔑
Daily Open: Marks the daily opening price at 00:00 UTC.
Weekly Open: Highlights the opening price at the start of each trading week.
Initial Balance (IB): Represents the high and low of the first hour of each day.
Pivot Points: Calculates the two closest pivot levels to the current price.
Volume Weighted Average Price (VWAPs): Marks key areas where the majority of transactions occur.
Average Daily Range (ADR) & Average Weekly Range (AWR): Indicates potential price movement boundaries.
Psychological Levels: A weekly range established each Saturday evening.
Benefits 💸
Comprehensive Analysis: Consolidates multiple important trading metrics into one indicator.
Time Efficiency: Saves time that would be spent manually tracking each of these metrics.
Enhanced Decision Making: Helps traders make more informed decisions by providing important levels.
⚙️ CONFIGURATION & SETTINGS ⚙️
Inputs 🔧
Level Reducer: Allows the user to declutter the chart while still tracking all selected levels.
Level and Label Settings: Provides control over the visibility and length of level lines and labels.
Customizable Settings: Enable or disable any level
Alerts 🔔
Tactical Coordinates Table: Updates levels dynamically in the table according to the actual price.
Real-time Alerts: The Indicator provides alerts when price approaches or crosses any of the defined levels.
Tactical Coordinates Table
Alerts
💡 USAGE & STRATEGY 💡
Trading Strategies 📈
Level Confirmation: Use the Indicator's defined levels as confirmations for your own trading strategies.
Reversal Spots: Levels like the daily and weekly opens or the VWAPs can be potential reversal points.
Breakout Trades: Initial Balance (IB) levels could provide breakout trade opportunities.
Timeframes and Symbols ⌚
Multi-Timeframe: Indicator is compatible with multiple timeframes.
Versatile: Can be used on any crypto trading pair on TradingView.
🤖 DETAILS & METHODOLOGY 🤖
Algorithm and Calculation 🛡️
Dynamic Calculation: Levels are calculated based on price and time data, providing real-time insights.
Pivot Points: Calculated based on a specific formula involving past and subsequent bars or candles.
VWAPs: Calculated based on the average price weighted by volume.
📚 ADDITIONAL RESOURCES 📚
Tutorials and Guides 📖
Visit our website to download comprehensive PDF documents that provide in-depth explanations on various key topics. These include:
Understanding various trading levels such as Daily Open, Weekly Open, Initial Balance (IB), Pivot Points, VWAPs, ADR & AWR, and Psychological Levels.
How data in different time frames is calculated and how this affects the marking of High and Low levels on different time frames.
How our script addresses the data limitations in TradingView, ensuring all levels are shown at the lowest time frame allowable.
Adjusting level and label settings in the indicator.
Using the Level Reducer function to help declutter your chart while still tracking all selected levels.
Chart Examples 📊
Daily Levels
Weekly and Monthly Levels
Tactical Coordinates Table
🚀 CONCLUSION 🚀
The Indicator, with its Levels feature, provides a unique perspective to day and swing traders. Its ability to dynamically calculate and visualize critical trading levels and ranges aims to empower traders with timely insights and efficient analysis. Whether you're an experienced trader or just starting out, integrating these level markers into your trading strategy can significantly improve your market understanding and decision-making process.
The complete Tactical Analysis Indicator Suite
⚠️ DISCLAIMER ⚠️
This indicator is provided as a tool for traders and is not intended to be the sole basis for any trading decision. Always conduct your own research and due diligence, and consider your risk tolerance before entering any trades. Trading involves risk and is not suitable for everyone.
ADW - Colour TrendColour Trend is an indicator that will give you a visual representation of the trend in a selected market, and alert you when the trend changes. The green colour represents a bullish trend (prices are going up), the red colour represents a bearish trend (prices are going down), and silver represents a neutral trend (prices are relatively stable). The script calculates these trends based on the relative price levels and their moving averages.
Below is a breakdown of the script so you can better understand how these trends are defined.
Function f_p(_length, price) : This function calculates the price relative to its highest and lowest point over the given `_length` of time. This calculation is normalized by multiplying it by 100, giving us a percentage-like measure.
User Inputs : The length of the period (default 12), you can choose to show or hide bar colours (default is true).
Variables cycle_avg, cycle_counter, cycle_count, cycle_trend, cycle_col : These variables are used to calculate the trend cycles. The `cycle_avg` is the average trend cycle, `cycle_counter` keeps track of the current trend cycle, `cycle_count` counts the total number of cycles, `cycle_trend` keeps track of the direction of the cycle (1 for up, -1 for down), and `cycle_col` defines the colour of the current cycle.
Variables ph, pl, avg, mean : These variables calculate the price level relative to the highest and lowest prices (`ph` and `pl`), the average of these two levels (`avg`), and the cumulative average of the price level (`mean`).
Conditionals for cycle trend : The if-statements are checking whether the price level has reached a trend extreme and then updating the trend cycle, colour, count, and average accordingly.
Variable col and bar color : The variable `col` is used to define the colour of the bars based on the average price level. If the `show_barcolor` is true, the colour is determined based on the `avg` value.
Alert Conditions : These are conditions that will send alerts to the user when the trend changes. Specifically, the alerts occur when the colour changes from non-green to green (bull trend), from non-red to red (bear trend), or from non-silver to silver (no trend).
ICT Donchian Smart Money Structure (Expo)█ Concept Overview
The Inner Circle Trader (ICT) methodology is focused on understanding the actions and implications of the so-called "smart money" - large institutions and professional traders who often influence market movements. Key to this is the concept of market structure and how it can provide insights into potential price moves.
Over time, however, there has been a notable shift in how some traders interpret and apply this methodology. Initially, it was designed with a focus on the fractal nature of markets. Fractals are recurring patterns in price action that are self-similar across different time scales, providing a nuanced and dynamic understanding of market structure.
However, as the ICT methodology has grown in popularity, there has been a drift away from this fractal-based perspective. Instead, many traders have started to focus more on pivot points as their primary tool for understanding market structure.
Pivot points provide static levels of potential support and resistance. While they can be useful in some contexts, relying heavily on them could provide a skewed perspective of market structure. They offer a static, backward-looking view that may not accurately reflect real-time changes in market sentiment or the dynamic nature of markets.
This shift from a fractal-based perspective to a pivot point perspective has significant implications. It can lead traders to misinterpret market structure and potentially make incorrect trading decisions.
To highlight this issue, you've developed a Donchian Structure indicator that mirrors the use of pivot points. The Donchian Channels are formed by the highest high and the lowest low over a certain period, providing another representation of potential market extremes. The fact that the Donchian Structure indicator produces the same results as pivot points underscores the inherent limitations of relying too heavily on these tools.
While the Donchian Structure indicator or pivot points can be useful tools, they should not replace the original, fractal-based perspective of the ICT methodology. These tools can provide a broad overview of market structure but may not capture the intricate dynamics and real-time changes that a fractal-based approach can offer.
It's essential for traders to understand these differences and to apply these tools correctly within the broader context of the ICT methodology and the Smart Money Concept Structure. A well-rounded approach that incorporates fractals, along with other tools and forms of analysis, is likely to provide a more accurate and comprehensive understanding of market structure.
█ Smart Money Concept - Misunderstandings
The Smart Money Concept is a popular concept among traders, and it's based on the idea that the "smart money" - typically large institutional investors, market makers, and professional traders - have superior knowledge or information, and their actions can provide valuable insight for other traders.
One of the biggest misunderstandings with this concept is the belief that tracking smart money activity can guarantee profitable trading.
█ Here are a few common misconceptions:
Following Smart Money Equals Guaranteed Success: Many traders believe that if they can follow the smart money, they will be successful. However, tracking the activity of large institutional investors and other professionals isn't easy, as they use complex strategies, have access to information not available to the public, and often intentionally hide their moves to prevent others from detecting their strategies.
Instantaneous Reaction and Results: Another misconception is that market movements will reflect smart money actions immediately. However, large institutions often slowly accumulate or distribute positions over time to avoid moving the market drastically. As a result, their actions might not produce an immediate noticeable effect on the market.
Smart Money Always Wins: It's not accurate to assume that smart money always makes the right decisions. Even the most experienced institutional investors and professional traders make mistakes, misjudge market conditions, or are affected by unpredictable events.
Smart Money Activity is Transparent: Understanding what constitutes smart money activity can be quite challenging. There are many indicators and metrics that traders use to try and track smart money, such as the COT (Commitments of Traders) reports, Level II market data, block trades, etc. However, these can be difficult to interpret correctly and are often misleading.
Assuming Uniformity Among Smart Money: 'Smart Money' is not a monolithic entity. Different institutional investors and professional traders have different strategies, risk tolerances, and investment horizons. What might be a good trade for a long-term institutional investor might not be a good trade for a short-term professional trader, and vice versa.
█ Market Structure
The Smart Money Concept Structure deals with the interpretation of price action that forms the market structure, focusing on understanding key shifts or changes in the market that may indicate where 'smart money' (large institutional investors and professional traders) might be moving in the market.
█ Three common concepts in this regard are Change of Character (CHoCH), and Shift in Market Structure (SMS), Break of Structure (BMS/BoS).
Change of Character (CHoCH): This refers to a noticeable change in the behavior of price movement, which could suggest that a shift in the market might be about to occur. This might be signaled by a sudden increase in volatility, a break of a trendline, or a change in volume, among other things.
Shift in Market Structure (SMS): This is when the overall structure of the market changes, suggesting a potential new trend. It usually involves a sequence of lower highs and lower lows for a downtrend, or higher highs and higher lows for an uptrend.
Break of Structure (BMS/BoS): This is when a previously defined trend or pattern in the price structure is broken, which may suggest a trend continuation.
A key component of this approach is the use of fractals, which are repeating patterns in price action that can give insights into potential market reversals. They appear at all scales of a price chart, reflecting the self-similar nature of markets.
█ Market Structure - Misunderstandings
One of the biggest misunderstandings about the ICT approach is the over-reliance or incorrect application of pivot points. Pivot points are a popular tool among traders due to their simplicity and easy-to-understand nature. However, when it comes to the Smart Money Concept and trying to follow the steps of professional traders or large institutions, relying heavily on pivot points can create misconceptions and lead to confusion. Here's why:
Delayed and Static Information: Pivot points are inherently backward-looking because they're calculated based on the previous period's data. As such, they may not reflect real-time market dynamics or sudden changes in market sentiment. Furthermore, they present a static view of market structure, delineating pre-defined levels of support and resistance. This static nature can be misleading because markets are fundamentally dynamic and constantly changing due to countless variables.
Inadequate Representation of Market Complexity: Markets are influenced by a myriad of factors, including economic indicators, geopolitical events, institutional actions, and market sentiment, among others. Relying on pivot points alone for reading market structure oversimplifies this complexity and can lead to a myopic understanding of market dynamics.
False Signals and Misinterpretations: Pivot points can often give false signals, especially in volatile markets. Prices might react to these levels temporarily but then continue in the original direction, leading to potential misinterpretation of market structure and sentiment. Also, a trader might wrongly perceive a break of a pivot point as a significant market event, when in fact, it could be due to random price fluctuations or temporary volatility.
Over-simplification: Viewing market structure only through the lens of pivot points simplifies the market to static levels of support and resistance, which can lead to misinterpretation of market dynamics. For instance, a trader might view a break of a pivot point as a definite sign of a trend, when it could just be a temporary price spike.
Ignoring the Fractal Nature of Markets: In the context of the Smart Money Concept Structure, understanding the fractal nature of markets is crucial. Fractals are self-similar patterns that repeat at all scales and provide a more dynamic and nuanced understanding of market structure. They can help traders identify shifts in market sentiment or direction in real-time, providing more relevant and timely information compared to pivot points.
The key takeaway here is not that pivot points should be entirely avoided or that they're useless. They can provide valuable insights and serve as a useful tool in a trader's toolbox when used correctly. However, they should not be the sole or primary method for understanding the market structure, especially in the context of the Smart Money Concept Structure.
█ Fractals
Instead, traders should aim for a comprehensive understanding of markets that incorporates a range of tools and concepts, including but not limited to fractals, order flow, volume analysis, fundamental analysis, and, yes, even pivot points. Fractals offer a more dynamic and nuanced view of the market. They reflect the recursive nature of markets and can provide valuable insights into potential market reversals. Because they appear at all scales of a price chart, they can provide a more holistic and real-time understanding of market structure.
In contrast, the Smart Money Concept Structure, focusing on fractals and comprehensive market analysis, aims to capture a more holistic and real-time view of the market. Fractals, being self-similar patterns that repeat at different scales, offer a dynamic understanding of market structure. As a result, they can help to identify shifts in market sentiment or direction as they happen, providing a more detailed and timely perspective.
Furthermore, a comprehensive market analysis would consider a broader set of factors, including order flow, volume analysis, and fundamental analysis, which could provide additional insights into 'smart money' actions.
█ Donchian Structure
Donchian Channels are a type of indicator used in technical analysis to identify potential price breakouts and trends, and they may also serve as a tool for understanding market structure. The channels are formed by taking the highest high and the lowest low over a certain number of periods, creating an envelope of price action.
Donchian Channels (or pivot points) can be useful tools for providing a general view of market structure, and they may not capture the intricate dynamics associated with the Smart Money Concept Structure. A more nuanced approach, centered on real-time fractals and a comprehensive analysis of various market factors, offers a more accurate understanding of 'smart money' actions and market structure.
█ Here is why Donchian Structure may be misleading:
Lack of Nuance: Donchian Channels, like pivot points, provide a simplified view of market structure. They don't take into account the nuanced behaviors of price action or the complex dynamics between buyers and sellers that can be critical in the Smart Money Concept Structure.
Limited Insights into 'Smart Money' Actions: While Donchian Channels can highlight potential breakout points and trends, they don't necessarily provide insights into the actions of 'smart money'. These large institutional traders often use sophisticated strategies that can't be easily inferred from price action alone.
█ Indicator Overview
We have built this Donchian Structure indicator to show that it returns the same results as using pivot points. The Donchian Structure indicator can be a useful tool for market analysis. However, it should not be seen as a direct replacement or equivalent to the original Smart Money concept, nor should any indicator based on pivot points. The indicator highlights the importance of understanding what kind of trading tools we use and how they can affect our decisions.
The Donchian Structure Indicator displays CHoCH, SMS, BoS/BMS, as well as premium and discount areas. This indicator plots everything in real-time and allows for easy backtesting on any market and timeframe. A unique candle coloring has been added to make it more engaging and visually appealing when identifying new trading setups and strategies. This candle coloring is "leading," meaning it can signal a structural change before it actually happens, giving traders ample time to plan their next trade accordingly.
█ How to use
The indicator is great for traders who want to simplify their view on the market structure and easily backtest Smart Money Concept Strategies. The added candle coloring function serves as a heads-up for structure change or can be used as trend confirmation. This new candle coloring feature can generate many new Smart Money Concepts strategies.
█ Features
Market Structure
The market structure is based on the Donchian channel, to which we have added what we call 'Structure Response'. This addition makes the indicator more useful, especially in trending markets. The core concept involves traders buying at a discount and selling or shorting at a premium, depending on the order flow. Structure response enables traders to determine the order flow more clearly. Consequently, more trading opportunities will appear in trending markets.
Structure Candles
Structure Candles highlight the current order flow and are significantly more responsive to structural changes. They can provide traders with a heads-up before a break in structure occurs
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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!
Damage Indicator by Scipio ProScipio Pro's Damage Indicator detects strong momentum on tops and bottoms. It is intended for swing trading.
The script analyzes both recent and less-recent price action and performs candle stick analysis. It also uses SDs and multiple Bollinger Bands to find dynamic levels for entries.
A Bears Damaged signal emerges whenever there is convincing proof of strength at a bottom. Often, when the market reverses quickly, traders are caught offside and are forced to buy higher. The reverse goes for Bulls Damaged signals, which mean there is convincing proof of bearish strength at a (local?) top.
Whether the move gets legs depends in large part on the structure in which the show of momentum takes place. It is sensible to wonder after each signal whether the market structure (and other relevant context such as the majority of cash having been sidelined) dictates that risk-reward is skewed to the upside or to the downside. If, for example, a Bears Damaged signal emerges on the daily and risk-reward on the weekly is skewed to the upside, go 4x larger (again, just an example). If, on the other hand, the same signal emerges on the daily while the risk-reward is skewed to the downside on the weekly, bet much smaller and tighten your stop-loss. For best results, I suggest you always check one timeframe higher for your long-term risk-reward bias. (No financial advice, of course.)
Under Settings you'll find the so-called Noise Protection , which is switched "on" by default. We recommend you keep this switched on. Noise Protection ensures you do not see Damage signals on timeframes lower than the 4 hour. After all, chasing momentum on low timeframes is a losing game. The amount of noise increases exponentially as you move lower down the timeframes. Again, this indicator is for swing trades. Don't use it for scalping.
It should be useful for all assets, but is of course more useful on some than on others. As with all indicators, signals tend to be more meaningful if the asset in question is at least somewhat liquid, for instance.
As always, use at your own risk. Using indicators is no substitute for using one's brain.
Excess Invites Punishment (EIP) by Scipio ProScipio Pro's EIP is a reversal indicator. It is based on two types of evidence.
1) Proof of Fatigue -- The move that triggers the signal is losing momentum
2) Proof of Excess -- The move that triggers the signal is excessive
If both are the case, we get a signal.
The script uses standard deviations and Bollinger Bands for measuring excess and the ATR for the Breakout Continuation Protection (see below). For fatigue, the EIP detects divergences from indicators like OBV, MACD, RSI and more. It expresses these with a number. For example, if the EIP detects 9 bullish divergences, it prints the number 9 below the corresponding candle.
Hesitant Buy and Hesitant Sell mean there may have been a breakout recently, as measured with the ATR, meaning there is an increased likelihood of continuation. These can provide good buys or sells but more caution is warranted. You can adjust the so-called Breakout Continuation Protection in Settings. Doing so may lead to either more or less "hesitant" signals.
The signals don't repaint. Of course, the divergences get recalculated as the market evolves, as they should. But signals like Buy, Sell, Hesitant Buy, and Hesitant Sell never repaint.
The EIP is useful on many different time-frames and with many different assets, be they in stocks or crypto. The images below show results from BTC, MATIC, and S&P 500 over multiple years, both on small and large time-frames.
As always, use at your own risk. Using indicators is no substitute for using one's brain.
Jesse Livermore Strategy [Buy & Sell]Jesse Livermore was a famous trader who made a fortune in the early 20th century through his unique approach to trading.
While he did not leave behind a single, specific trading strategy that is attributed to him, I have tried to reproduce one.
His trading strategy was based on understanding market trends and sentiment, and he used several technical indicators to identify potential entry and exit points.
Some of the indicators he used include:
Price Action:
Jesse Livermore relied heavily on price action to make trading decisions.
He believed that the price itself was the best indicator of market sentiment, and that by analyzing the price movement, he could identify trends and market behavior.
Volume:
Livermore also used volume to confirm price movements.
He believed that a rise in volume along with a price increase indicated a strong bullish trend, while a decrease in volume with a price increase indicated a weak trend.
Pivot Points:
Another key component of Jesse Livermore's trading strategy was pivot points.
He used pivot points to identify potential support and resistance levels in the market, which he then used to identify potential entry and exit points.
Jesse Livermore outlined a simple trading system: wait for pivotal points before entering a trade.
When the points come into play, trade them using a buffer, trading in the direction of the overall market.
Let the price dictate your actions and stay with profitable trades until there is good reason to exit the trade.
The one I have tried to reproduce it's based on Pivot High and Low looking back 5 Days, and the average price oscillator.
When the price is bellow the support defined line it's time to Buy ( Long Position ), when the Price line is over the Resistance Line it's time to Sell ( Short Position )
This indicator has to be checked, and tried into a Real-Time context, so using the Replay functionality of TradingView is the best way to see and understand how Signals comes
(NB: look back into the chart without Replay should give you wrong Buy/Sell information)
The Indicator can be used on every TimeFrames, but the better ones are 5min - 15min.
I will add the possibility to choose the TimeFrames value for Pivot High and Low.
I will create a version with Alerts for Buy and Sell and the possibility to integrate it with "3commas Bot" where the best deal can be to set a TP to 1% for each Long or Short Entry.
Let's try it and comment for doubts or questions.
NOMMO AUTOMATE🖖 Hi all!
Check out my NOMMO AUTOMATE indicator for trend detection, trend change points, hedging opposite trend impulses.
What the script do:
☑️ Detecting local and global trends and trend change points, detecting opposite to current trend impulses.
How the script do it:
☑️ The indicator compares RSI indicators on chosen by user Trend TF1 and Trend TF2 and marks trend change points.
☑️ The indicator compares different length HMA indicators on chosen by user Hedge TF to detect opposite to current trend impulses.
How to use it:
☑️ There are 4 states in the indicator: Long, Short, Flat, Hedge, marked by corresponding (adjustable) color zones, where Long = uptrend, Short = downtrend, Flat = sideways movement, Hedge = possible impulse in the opposite trend direction.
☑️ Select Trend TF1 and Trend TF2 and RSI length to determine the trend, depending on how a big picture you want to see, the more major TF you choose the more global picture of the trend change you get.
☑️ Select Hedge TF to determine the possible impulses opposite to the current trend (does not work in detected Flat movement).
☑️ For each trading pair you need to try individual settings, the default settings I use for BTC swing trading, to reduce the noise level of hedging put Hedge TF the same as the smaller Trend TF.
☑️ Try different settings, experiment and you will find the most suitable settings for your trading pair.
How magic works:
☑️ RSI Trend TF1 > 50 + RSI Trend TF2 > 50 = Long
☑️ RSI Trend TF1 > 50 + RSI Trend TF2 < 50 = Flat
☑️ RSI Trend TF1 < 50 + RSI Trend TF2 > 50 = Flat
☑️ RSI Trend TF1 < 50 + RSI Trend TF2 < 50 = Short
☑️ Long + Hedge TF (HMA 10 < HMA 70 < HMA 200) = Hedge
☑️ Short + Hedge TF (HMA 10 > HMA 70 > HMA 200) = Hedge
For example:
☑️ Try Trend TF1 = 1D, Trend TF2 = 1D and Hedge TF = 1D, with RSI period = 21, to check mid-term trend on BTCUSD
May the trade force be with you.
