Trend Channels [Cryptoverse]This Indicator dynamically generates and displays on the chart Trend Channels with the pivot points it determines in each market and in each time period. The type of price used to determine the pivot points and create the channels is optional (e.g. close or high, low).
It will help you identify your entry points and stop zones and help you take positions, but it does not contain any buy and sell signals or trading strategies. It creates more successful channels on higher timeframes.
Usage Settings:
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General Settings:
Pivot Period: This field determines how many candles before and after a candle will be counted as a peak or bottom in order to determine the peaks and troughs on the chart.
Trend Channels are created by calculating the Pivot points according to the period set here. (Default value: 6)
Top Pivot Source: Determines which value of the related candle the top pivot points will be based on.
Bottom Pivot Source: Determines which value of the related candle the lower pivot points will be based on.
(Default: closing)
Trend Channels Settings:
Show All Trend Lines: Allows you to show or hide trend channels.
Hide Old Trend Lines: If you activate it, it allows you to hide the channels created in the past other than the current trend channels.
Hide 0.5 Lines: Allows you to hide lines at the Fibonacci 0.5 level.
Hide 0.236 Lines: Allows to hide lines at Fibonacci 0.236 level.
Hide 0.786 Lines: Allows to hide lines at Fibonacci 0.786 level.
Helper Line Format: Allows the helper line that converts a trend line into a channel to be drawn based on percentage or price.
*Note:* When using large time intervals by choosing percentages, there may be situations where the helper lines do not provide full parallels.
Up Trend Color: Indicates the outer color of the Up Trend channel.
Down Trend Color: Indicates the outer color of the Descending Trend channel.
0.5 Trend Color: Specifies the color of the fibonacci 0.5 line drawn for all channels.
0.236 Trend Color: Specifies the color of the fibonacci 0.5 line drawn for all channels.
0.786 Trend Color: Sets the color of the fibonacci 0.5 line drawn for all channels.
Trend Channel Width: Determines the thickness of the channel lines.
Trend Channel Style: Determines the style of the channel lines.
Bands and Channels
Kijun Sen BaseWhat is Kijun Sen?
Kijun-sen also means "base line" and is the mid-point of the 26-period high and low. Kijun-sen is typically used in conjunction with Tenkan-sen (conversion line) or (the 9-period midpoint price) to generate trade signals when they cross. Kijun-sen is typically used in conjunction with the other Ichimoku indicators.
What is the Kijun Sen Base?
The Kijun Sen Base is the center line in the Ichimoku Cloud Indicator. We have taken that line out and made it an indicator on its own , color-coded it, and allowed traders to track the price for a clean and simple base filter.
Is this a Moving Average?
NO
The Difference Between Kijun-sen (Base Line) and a Simple Moving Average (SMA)
The Kijun-sen is a midpoint of the high and low prices over the last 26 periods. This is not an average.
How do I trade with this Indicator?
Unless there's a lot of recent price movement, enough to pull the price away from the 26-period midpoint, the Kijun-sen will often trade near and intersect with the current price. At times like these, it is not an ideal tool for helping with trend direction. If, however, there is a strong price move away from Kijun Sen and the gap between Kijun Sen and the price is "increasing" or "widening", this is an indication that a trend is forming.
Kijun Sen Base can be used to confirm a trend and is a clean addition to other indicators the trader may use on their charts while at the same time keeping the chart less cluttered.
Happy Trading and Good Luck!
BTC - Hotness Index### Script Description
#### BTC - Hotness Index
This Pine Script, version 4, aims to generate a "Hotness Index" for Bitcoin (BTC) trading by utilizing a Pi Cycle Top Indicator. The script operates in a daily (`1D`) time frame and involves calculating two Simple Moving Averages (SMA) based on `close` prices:
- 111-day SMA (`D_111SMA`)
- 350-day SMA (`D_350SMA`) multiplied by 2
The primary indicator (`pi_indicator`) is derived by dividing `D_111SMA` by `D_350SMA`.
##### Sell Signal
A sell signal is plotted as a histogram if `pi_indicator` crosses above 1 (`pi_plot` variable).
##### Buy Signal
A buy signal is plotted as a histogram if `pi_indicator` crosses below 0.35 (`pi_plot_buy` variable).
##### Horizontal Lines
Two horizontal lines are included to denote the "Buy Zone" and "Sell Zone":
- "Sell Zone" at `pi_indicator` level of 1
- "Buy Zone" at `pi_indicator` level of 0.35
##### Plotting
Histogram plots are used for visualizing the signals:
- Sell signals are colored red (`RGB: 255, 59, 59`)
- Buy signals are colored green (`RGB: 82, 255, 59`)
This script provides traders a visual guide for potential buy/sell opportunities based on the Pi Cycle Top Indicator and the Hotness Index for Bitcoin. It operates under the terms of the Mozilla Public License 2.0.
[blackcat] L3 Six-color Divine Dragon**L3 Six-color Divine Dragon** Indicator consists of red profit holders, yellow floating chips, and green trapped holders, along with their 10-day moving averages, totaling six colors, hence the name Six Color Dragon. The dynamic chips reflect the trading and movement of the main chips within a certain range. Purple represents the stock price entering the oversold zone, and yellow represents the stock price in a normal trend. The Six Color Dragon Indicator calculates the price and volume data over a period of time to display the buyer/seller activity. It analyzes the possible behavior of institutional funds based on the price and volume data of each trading day.
- Deep red bars: the current proportion of profitable holders.
- Red line: the moving average of the red bars.
- Deep green bars: the current proportion of losing holders.
- Light green line: the moving average of the green bars.
- Yellow bars: the proportion of daily traders (buying and selling on that day).
- Yellow line: the moving average of the yellow bars.
When the deep red bars > 50%, it indicates strong control of institutional funds and an easier continuation of the uptrend. When the deep green bars < 50%, it indicates retail investors are trapped inside, making it easier for the downtrend to continue.
The intersection of moving averages indicates a trend reversal signal:
1. Red line crossing above the green line: uptrend.
2. Green line crossing above the red line: downtrend.
The process of major manipulation of stock prices can be roughly divided into the following stages:
1. Accumulation stage: before the start of the main uptrend, the main players repeatedly clean up the chips to obtain more cheap chips; trial actions before the rise are also essential. When the selling pressure from external sources exceeds the expectations of the main players, they will continue to clean up the chips until their desired goal is achieved. After breaking through the platform, they choose to rise. During the rise, the main players will choose to lift, clean up, lift again, clean up again... When most investors feel that every pullback of this stock is a buying opportunity, often the top of this stock is not far away, and the main players have quietly started to exit.
By using the Six Color Dragon Indicator and dynamic chips together, we can effectively grasp the various stages of the main manipulation of stock prices:
1. Accumulation - initial rise: in this stage, the typical features of the Six Color Dragon Indicator are a decrease in trapped holders (green bars), an increase in floating chips (yellow bars), and occasional appearance of profit holders. The dynamic chips show that the stock price always fluctuates around the dense peak area of the chips. This stage is more difficult to operate, so it is recommended to wait for the appearance of a buying signal.
Buying signal: the stock price breaks through the consolidation pattern with increased volume, the 10-day moving average of the profit holders in the Six Color Dragon Indicator is moving upward, and the red bars of the profit holders break through the purple moving average of the profit holders; the stock price is more than 10% away from the dense peak area.
2. Trial trading, chip cleaning: after the main accumulation is completed, before a significant rise, there is often a trial trading phase. If a large amount of selling pressure is observed, it is usually necessary to clean up the floating chips, which is called chip cleaning. The chip cleaning is manifested in the stock price as significant fluctuations.
The main features of this stage are: the 10-day moving average of the profit holders in the Six Color Dragon Indicator changes from an upward trend to a flat or smaller angle, indicating a decrease in profit holders, and the stock price experiences a certain amount of decline. However, the dense peak of the dynamic chips remains unchanged, and the stock price usually fluctuates above the corresponding price level of the dense chip area, rarely falling below the dense peak or quickly recovering after falling below.
At this time, we can choose to buy a portion of the stock near the dense peak of the dynamic chips when the stock price stabilizes. We can then add more positions when there is another significant volume breakthrough of the previous high point, and the dense peak of the dynamic chips does not shift upward.
3. Main rise stage: this stage is the main profit-making stage of significant rise.
- The main features in the early stage of the rise are steadily increasing red bars in the Six Color Dragon Indicator and a steady upward trend of the 10-day moving average of the profit holders.
- In the later stage of the rise, the red bars are mostly above the 10-day moving average of the profit holders or around it. The dense peak of the dynamic chips does not clearly shift upward, or even after the shift, the stock price continues to run above the new dense peak, indicating that the stock still has upside potential and can be held.
4. Distribution stage: the main features of this stage are a slow decrease in profit holders, red bars retracting within the 10-day moving average, accompanied by a decline in the stock price and the emergence of trapped holders; the dense peak of the dynamic chips shifts upward, and the stock price falls below the newly formed dense peak, leading to an increase in trapped holders and profit-taking.
Note: when analyzing weak rebounds, the selected range, the time span on the x-axis, and the turnover statistics may vary, resulting in different effects in dynamic chip analysis. Specifically, the range from the most recent point to the highest point within 3 weeks or more is usually a reasonable range. Remember to identify the high point of a rebound that lasted for 3 weeks or more, otherwise, the accuracy of the analysis will be reduced.
In addition, when using the Six Color Dragon Indicator and dynamic chip analysis, it is necessary to combine other technical analysis tools and market conditions for comprehensive judgment in order to improve the accuracy and reliability of the analysis.
Three Candle Rolling Pivot Range**Strategy Description: Three Previous Candle Rolling Pivot Range**
**Introduction:**
This trading strategy is based on the concept of the rolling pivot range calculated from the high, low, and close prices of the three previous candles. The rolling pivot range serves as a dynamic support and resistance level, and this strategy aims to capture potential trading opportunities based on the price relationship with this range.
**Strategy Components:**
**1. Rolling Pivot Range Calculation:**
- **Rolling Pivot:** Calculate the rolling pivot by averaging the high, low, and close prices of the three previous candles.
- **Second Number:** Find the midpoint between the high and low of the three previous candles.
- **Pivot Differential:** Measure the difference between the rolling pivot and the second number.
- **Rolling Pivot Range High:** Set as rolling pivot + pivot differential.
- **Rolling Pivot Range Low:** Set as rolling pivot - pivot differential.
**2. Entry Rules:**
- **Long Entry:**
- Initiate a long entry when the current close is above both the rolling pivot range high and the rolling pivot.
- Continue the long entry as long as both the rolling pivot range high and low are higher than the corresponding values of the previous candle.
- **Short Entry:**
- Start a short entry when the current close is below both the rolling pivot range high and the rolling pivot.
- Continue the short entry as long as both the rolling pivot range high and low are lower than the corresponding values of the previous candle.
**Visualization:**
- **Plotting:**
- The rolling pivot range high, rolling pivot, and rolling pivot range low are plotted on the chart for visual reference.
- Long entry points are marked with a green triangle below the corresponding candle.
- Short entry points are marked with a red triangle above the corresponding candle.
**Conclusion:**
This strategy leverages the rolling pivot range to identify potential reversal points in the market. By considering the relative position of the current price compared to the dynamic support and resistance levels, the strategy aims to capture favorable trading opportunities. However, like all trading strategies, it should be used cautiously and backtested thoroughly on historical data to ensure its effectiveness before implementation in a live trading environment. Additionally, risk management techniques should always be applied to safeguard trading capital.
G Channel with Arrows
1. Channel Calculation:
- The indicator calculates an upper channel ( `UpperBuffer` ) and a lower channel ( `LowerBuffer `) based on the input parameters `ChannelPeriod` .
- The channels are determined by a dynamic calculation that considers the current price ( `src` ) and the previous values of the upper and lower channels (` aBuffer` and `bBuffer` ).
2. Middle Channel:
- The middle channel ( `MiddleBuffer` ) is the average of the upper and lower channels, providing a central reference line.
3. Exponential Moving Average (EMA):
- The script calculates an Exponential Moving Average (`EMAValue`) based on the closing prices with a specified period (`EMAPeriod`).
4. Channel Plots:
- Plots for the upper, lower, and middle channels are displayed on the chart, each with a distinctive color and style.
5. Fill Between Channels:
- The space between the upper and middle channels is filled with a blue color (`#1900ff`), and the space between the lower and middle channels is filled with a red color (`#f70a0a`).
6. EMA Line:
- The EMA line is plotted on the chart in green.
7. Buy and Sell Signals:
- Buy signals ( `buySignal` ) are generated when the EMA crosses above the middle channel.
- Sell signals ( `sellSignal` ) are generated when the EMA crosses below the middle channel.
- Arrows are plotted at the respective locations of buy and sell signals.
8. Breakout Arrows:
- Additional arrows are plotted when the closing price breaks out above the upper channel (green arrow) or below the lower channel (red arrow).
9. User Input Parameters:
- Traders can customize the input parameters such as `ChannelPeriod` and `EMAPeriod` to adjust the sensitivity of the channels and the EMA.
Overall, the indicator provides traders with a visual representation of price channels, an EMA trend reference, and signals for potential buy/sell opportunities and breakout points. It can be used as part of a trading strategy to identify trends, reversals, and potential entry/exit points in the market.
TMA Bands with Break Arrow @ClearTradingMind
The "TMA Bands with Break Arrow" indicator, developed by ClearTradingMind, is designed to provide traders with insights into potential trend reversals based on the movement of price within a channel defined by the Triangular Moving Average (TMA) and its bands. The TMA is a smoothed moving average, and this indicator adds upper and lower bands to visualize potential breakouts.
Key Components:
1. TMA Bands: The indicator plots the upper and lower bands of the TMA channel. These bands represent potential overbought (upper band) and oversold (lower band) conditions.
2. Break Arrows: The indicator generates buy (green triangle up) and sell (red triangle down) arrows when the closing price breaks above the upper band or below the lower band, indicating a potential trend reversal.
3. Background Color: The background color dynamically changes based on the last generated signal. A blue background suggests a recent buy signal, while a red background indicates a recent sell signal. This provides a quick visual reference for the prevailing market sentiment.
Usage:
1. Trend Reversals: Traders can use the buy and sell arrows as signals for potential trend reversals. A buy signal suggests a possible upward trend, while a sell signal suggests a potential downward trend.
2. Channel Breakouts: Watch for price breaking above the upper band (buy signal) or below the lower band (sell signal). These breakouts may indicate the start of a new trend.
3. Volatility Analysis: The width of the TMA channel represents volatility. A widening channel suggests increased volatility, while a narrowing channel suggests decreasing volatility.
4. Background Color: The background color provides additional context. A blue background indicates recent bullish sentiment, while a red background suggests recent bearish sentiment.
Parameters:
- TMA Period: The number of bars used to calculate the Triangular Moving Average.
- ATR Period: The number of bars used to calculate the Average True Range (ATR) for determining the width of the TMA channel.
- ATR Multiplier: A multiplier applied to the ATR to determine the width of the TMA channel.
Note: This indicator is a tool to assist traders in their analysis, and it is recommended to use it in conjunction with other technical and fundamental analysis methods for more comprehensive decision-making.
Disclaimer: Trading involves risk, and this indicator does not guarantee profit. Users should conduct thorough analysis and risk management before making trading decisions.
Predictive Channels [LuxAlgo]The Predictive Channels indicator is a real-time estimate of a trend channel. The indicator returns 2 resistances, 2 supports, and an average line.
🔶 USAGE
The Predictive Channels attempt to find a real-time estimate of an underlying linear trend in the price, the returned supports/resistances are constructed from this estimate.
The area between the price and the estimated trend is also highlighted, with a green color when the price is above the estimated trend, indicating a bullish variation relative to the trend, and a red color indicating a bearish variation.
Price deviating significantly from an estimated trend will return new channels. The Factor setting controls the allowed distance between the price and the trend estimate, with higher values allowing for greater distances and less frequent channels.
The Slope setting will affect the steepness of the channels, with lower values returning steeper channels, this can cause the price to more quickly deviate from the estimated trend, increasing the frequency at which new channels are created.
🔶 SETTINGS
Factor: Multiplicative factor, determines the allowed distance between the price and an estimated trend before a new channel is constructed.
Slope: Controls the line steepness of the channels, with lower values returning steeper lines.
Order Block v1Hello Traders :)
I am Only Fibonacci.
While coding this indicator, I examined many concepts and decided to blend them.
I took the method shared by most traders and added different perspectives and options.
First of all, you can choose how many order block regions you want to see on the screen.
Note: The levels displayed on the screen are the sum of bears and bulls.
You can also choose whichever you want to see, bearish or bullish.
You can specify the precision of pivot points.
Whether you want to select a zone with a body or a zone with a wick, you can see this in the settings.
You can extend the regions infinitely with the right extension option.
IchimokuBuy Sell With Stoch RSIIchimoku Kumo Cloud Crossover Indicator
The "Ichimoku Kumo Cloud Crossover" indicator is a custom technical analysis tool designed for use in the TradingView platform. This indicator is built to assist traders in identifying potential buy and sell signals based on a combination of Ichimoku Cloud analysis, Moving Average Convergence Divergence (MACD), Exponential Moving Average (EMA), Relative Strength Index (RSI), and Stochastic RSI.
Key Components and Parameters:
Ichimoku Kumo Cloud Calculation:
The Ichimoku Kumo Cloud is calculated using the Ichimoku Cloud's Conversion Line and Base Line.
Conversion Line, Base Line, Leading Span 1, and Leading Span 2:
These are key components of the Ichimoku Cloud, and they help identify trends and potential support/resistance levels in the market.
MACD Oscillator:
The Moving Average Convergence Divergence (MACD) is used to gauge the strength and direction of the trend.
EMA 200 (Exponential Moving Average):
The EMA 200 is a long-term moving average used to identify the overall trend direction.
RSI (Relative Strength Index):
The RSI is a momentum oscillator that measures the speed and change of price movements, helping to identify overbought and oversold conditions.
Stochastic RSI (Stoch RSI):
Stoch RSI is calculated based on the RSI values and helps to identify overbought and oversold conditions in a more dynamic manner.
Signal Generation:
The indicator generates buy and sell signals based on the following criteria:
Buy Signal (Long Position):
The Conversion Line crosses above the Base Line (Ichimoku Cloud crossover).
The closing price is above the EMA 200, indicating a bullish bias.
The RSI is between 50 and 70, suggesting the potential for an uptrend.
The MACD Histogram is positive, indicating increasing bullish momentum.
The high price is at least 25% above the EMA 200.
Sell Signal (Short Position):
The Conversion Line crosses below the Base Line (Ichimoku Cloud crossover).
The closing price is below the EMA 200, indicating a bearish bias.
The RSI is between 20 and 50, suggesting the potential for a downtrend.
The MACD Histogram is negative, indicating increasing bearish momentum.
The low price is at least 25% below the EMA 200.
Stoch RSI Filter:
Additionally, a filter based on Stoch RSI slope is applied. The indicator will only open a position if the Stoch RSI is declining for short positions (sell) and rising for long positions (buy).
Visualization:
Buy signals are marked with green triangles below the bars.
Sell signals are marked with red triangles above the bars.
The Ichimoku Cloud is plotted in the background, with cloud colors changing based on whether the Conversion Line or Base Line is higher.
This indicator can be a valuable tool for traders looking to combine multiple technical analysis techniques to make informed trading decisions in the financial markets.
PhantomFlow DynamicLevelsThe PhantomFlow Dynamic Levels indicator analyzes the dynamic volume over the period specified in the Period field. Channel boundaries can be used as dynamic support and resistance levels when trading within a range. The POC level also serves as a level at which the price may react during trend movements. The Period Multiplier parameter affects how many dynamic levels will be displayed. The Accuracy parameter influences the precision of volume calculations.
These levels are crucial for intraday traders as they serve as support or resistance. The Value Area zone includes 70% of the traded volume over the selected period. In other words, it represents the price region where the majority of traders believe the fair value for the asset lies.
The indicator's name, Dynamic Levels, aptly captures its essence. It analyzes trading volume at various price levels, tracking the sentiment dynamics of traders. When the asset's price decreases or increases as a result of trading, the Dynamic Levels indicator displays a new level on the chart. This results in a plotted line on the chart, allowing us to observe the movement dynamics of both the value area and the maximum volume level.
Standard indicators do not provide real-time visibility into level shifts, making the use of the Dynamic Levels indicator a competitive advantage in market trading across any time frame.
We borrowed the volume profile calculation code from @LonesomeTheBlue. Thank you for the work done!
Intraday Volatility Bands [Honestcowboy]The Intraday Volatility Bands aims to provide a better alternative to ATR in the calculation of targets or reversal points.
How are they different from ATR based bands?
While ATR and other measures of volatility base their calculations on the previous bars on the chart (for example bars 1954 to 1968). The volatility used in these bands measure expected volatility during that time of the day.
Why would you take this approach?
Markets behave different during certain times of the day, also called sessions.
Here are a couple examples.
Asian Session (generally low volatility)
London Session (bigger volatility starts)
New York Session (overlap of New York with London creates huge volatility)
Generally when using bands or channel type indicators intraday they do not account for the upcoming sessions. On London open price will quickly spike through a bollinger band and it will take some time for the bands to adjust to new volatility.
This script will show expected volatility targets at the start of each new bar and will not adjust during the bar. It already knows what price is expected to do at this time of day.
Script also plots arrows when price breaches either the top or bottom of the bands. You can also set alerts for when this occurs. These are non repainting as the script knows the level at start of the bar and does not change.
🔷 CALCULATION
Think of this script like an ATR but instead it uses past days data instead of previous bars data. Charts below should visualise this more clearly:
The scripts measure of volatility is based on a simple high-low.
The script also counts the number of bars that exist in a day on your current timeframe chart. After knowing that number it creates the matrix used in it's calculations and data storage.
See how it works perfectly on a lower timeframe chart below:
Getting this right was the hardest part, check the coding if you are interested in this type of stuff. I commented every step in the coding process.
🔷 SETTINGS
Every setting of the script has a tooltip but I provided a breakdown here:
Some more examples of different charts:
RSI Box Strategy (pseudo- Grid Bot)This is a strategy intended primarily for algorithmic traders. It's a pseudo-grid bot that uses a dynamic, volume-weighted grid that only updates when the RSI meets certain conditions. It's also a breakout strategy, whereas normal grid bots are not (typical grid bots sell when a higher grid is reached, whereas this strategy sells when a lower grid is breached under specific conditions). This strategy also sells 100% of pyramiding orders on close.
In a nutshell, the strategy updates its grid to the volume-weighted highest/lowest values of your given source ("src" in the settings) each time that there is a RSI crossunder/crossover. From this range it produces an evenly-spaced grid of five lines, and uses the current source to determine which grid line is closest to the source. Then, if the source crosses over the line directly above the current line, it enters a buy order. If the source crosses under the line directly below the current line, it enters a sell order.
You can configure shorts, source, RSI length, and overbought/oversold levels in the settings.
For the strategy results below: fees are at 0.1% per trade, with order size 1% of equity and a max pyramiding value of 33. For a greater R/R profile, you can increase the order size, which will increase drawdown but potentially yield better results.
[AlbaTherium] Sessional & Daily's liquidities - Beta Sessional & Daily Liquidities - Beta: Harnessing the Power of the Institutional Funding Candle (IFC) in Trading
Introduction:
The Sessional & Daily Liquidities - Beta indicator places the Institutional Funding Candle (IFC) at its core. Within the realm of trading, the IFC stands as a key signal for identifying Points of Interest (POIs) , offering traders invaluable insights into market dynamics. This document aims to illuminate the central role of the IFC within the Sessional & Daily Liquidities - Beta indicator, explaining how it can be effectively utilized to spot significant changes in the market and seize trading opportunities.
Chapter 1: Sessional Liquidity concepts
The forex market can be broken up into four major trading sessions: the Sydney session, the Tokyo session, the London session, and Trump’s favorite time to tweet (before he was banned), the New York session.
Historically, the forex market has three peak trading sessions. Traders often focus on one of the three trading periods, rather than attempt to trade the markets 24 hours per day. This is known as the “forex 3-session system“. These sessions consist of the Asian, European, and North American sessions, which are also called Tokyo, London, and New York sessions.
For that reason, a lot of trader put their stoploss right at the High or Low of their session, filling these price levels with liquidities. The market loves liquidities, they are like the “fuel” of the market. Price usually goes to these levels, takes out all the liquidities, and then returns to its original direction. This price behaviour indicates the presence of players – banks, institutions,... – driving the market to their own profit.
The same logic applies with Daily, Weekly and Monthly high/low levels.
Chapter 2: Deciphering the Institutional Funding Candle
2.1 Unveiling the Essence of the Institutional Funding Candle (IFC)
- IFC concept is the core of this indicator. It is recommended to use this indicator on high timeframes, like 1H or 4H charts, as those are the timeframes which big players look at.
- The presence of IFC candles means a significant amount of stop loss is triggered, and price have a tendency to reverse.
2.2 Criteria for IFC Identification
The definition of specific conditions that characterize an IFC within the Sessional & Daily Liquidities - Beta indicator:
- A breach of Previous day, Previous week, or Previous month’s High or Low levels or a breach of major Session Highs or Lows.
- Price made an immediate reverse, creating a decent distance from the wicks.
Chapter 2: Trading Strategies with the IFC
User should treat these signals with cautions, and only take trades with multi confluences.
This pictures below demonstrate a strategy to trade with this indicator, taking 1H HTF trend and 5m LTF ChoCh and Single Candle Order Block as confluences.
Conclusion:
The Sessional & Daily Liquidities - Beta indicator, centered around the Institutional Funding Candle (IFC), stands as a potent tool for traders, offering them the means to spot critical inflection points in the market. By understanding the role of the IFC in violating significant swing highs or lows and major session highs or lows, traders can make informed decisions and seize opportunities within the ever-evolving realm of financial markets. It's crucial to note that while IFC candle colors can provide insights, they do not unilaterally dictate market direction. Furthermore, candle closure can be a valuable consideration in specific situations, particularly when evaluating other High Time Frame POIs.
The real-world examples presented in this document within the Sessional & Daily Liquidities - Beta indicator offer a tangible insight into the world of IFC trading. Harness the potential of the Institutional Funding Candle within the Sessional & Daily Liquidities - Beta indicator to elevate your trading strategies and make well-informed decisions in the dynamic landscape of financial markets.
Worm *Public*This Pine Script code is designed to create a custom technical indicator called "Worm" that helps identify trends in the market based on momentum. Let's break down the code and its settings:
Indicator Title and Overlay:
The indicator is named "Worm (Clean)" and is set to be overlaid on the price chart.
Input Settings:
The code defines various input settings, which can be customized by the user. These settings include:
Indicator Settings (e.g., Alpha, Gap)
Backtest Settings (e.g., HighlightCrossovers, ApplyNorm)
Color Settings (e.g., Buy Color, Sell Color, Wait Color)
Location Settings for displaying the indicator above, below, or at the price.
Toggleable Inputs:
These settings allow you to choose whether the momentum indicator should be displayed above, below, or at the price chart. You can also specify the colors for buy, sell, and wait signals.
Indicator Calculations:
The code calculates momentum using various formulas involving the source price data (e.g., open, high, low, close). Momentum values are stored in variables L0, L1, L2, L3, and lrsi.
It also calculates the Color values for the indicator based on certain conditions and user-defined settings.
Bcolor and Scolor are used to determine the color of the plotted indicator based on buy and sell conditions.
Bollinger Bands (BB) and Keltner Channels (KC) Calculation:
The code calculates Bollinger Bands (UpperBB and LowerBB) and Keltner Channels (UpperKC and LowerKC) using the source price data.
It also determines whether the market is in a squeeze (SqzOn) or not (NoSqz) based on the relationship between BB and KC.
Signal Generation:
Buy and sell signals are generated based on various conditions, including momentum values and the squeeze state.
The color of the indicator line is determined based on the buy and sell signals.
LagF Calculation:
The LagF variable is calculated based on certain formulas involving the L0Line, L1Line, L2Line, and L3Line values.
Control Color:
The Color variable is used to control the color of the LagF indicator line based on certain conditions.
Plotting:
The momentum indicator (Val) is plotted on the chart with the specified colors and style.
The LagF indicator (Worm) is also plotted with a dynamic color based on market conditions.
Alerts are triggered when buy or sell signals are generated.
Experimental Section:
This section appears to be left for experimentation and may contain additional code or features.
Overall, this Pine Script code calculates and displays a custom momentum-based indicator called "Worm" on a price chart. It generates buy and sell signals based on momentum and squeeze conditions and allows users to customize various settings, including indicator location and colors. The code is designed for technical analysis and trend identification in financial markets.
01 Position CalculatorI present to your attention a calculator for calculating the volume per position.
This calculator is tested on cryptocurrency trading and MOEX liquid shares!
This calculator is suitable for beginners to make it easier to study trading and not get confused at the very beginning with volume calculations, I also use it for virtual trading, a position is drawn on the chart in real time, which shows the amount of loss or profit, that is, with the help of it I I practice different strategies without losing real money on experiments.
All calculations are made at your risk.
You need to indicate what your working deposit is, what percentage of it you are willing to risk per day, the number of your losing trades for one trading session, after which you will stop trading for that day, the amount of risk will be divided by the number of unprofitable trades.
The principle of operation is as simple as possible, you need to indicate three lines on the chart 1 - time line: it is needed so that a position on the chart can be drawn from it. 2 – Entry line for entering a position: the price at which you want to buy an asset. 3 – stop loss line “SL”: the price upon reaching which your losing trade will be closed. If the 3-stop loss line is placed below the 2-Entry line, then a long position will be calculated, if the stop loss line is above the Entry line, then a short position will be calculated. take profit "TP" is calculated automatically according to your settings in the menu.
And so on in order through the menu from top to bottom.
1. Rounding the volume to a whole number: if you select “round”, then the volume of the acquired asset (shares, coins, etc.) will be rounded to a whole number, but be careful if your deposit is $100, and the cost of 1 unit of the asset is more than $1000, then the calculator will give error. MOEX shares are traded only in whole lots, so rounding occurs automatically.
2. Automatic calculation of SL in 1 ATR of the selected TF (auto/manual) (ATR...): if you select auto and specify, for example, ATR 1h, then your “SL” will be calculated automatically and set at a distance from Entry of 1 ATR of the hourly time frame (this is the average price change over 1 hour)
3. Cryptocurrency deposit commission, MOEX deposit commission: I made two different deposits on purpose so as not to change the settings each time, depending on the schedule you choose, MOEX or cryptocurrency, the required deposit and commission will be automatically taken into account.
4. Slippage: this is the percentage of slippage on closing a position at a stop loss.
5. Daily drawdown % (...): this is the percentage of your trading deposit that you are willing to risk for one trading session, the amount at risk.
6. Ratio rice /profit 1/ (...): you need to indicate the SL/TP ratio, based on this your income per trade is calculated and the distance to TP is outlined on the graph.
7. Number of losing trades (...): this is the number of your trades per trading session after receiving which you will end trading for that day, the amount of risk will be divided by the number of losing trades.
8. Position: you can enter the start date of the position and Entry and SL prices
9. ATR – specify the number of last candles to calculate the average price movement of the selected time frame
Now, as for the tables located by default on the left and right at the bottom of the screen, I made windows with descriptions; when you hover the cursor over a cell, a description pops up.
RU
Этот калькулятор проверен, на торговле криптовалюты и ликвидных акциях MOEX!
Этот калькулятор подойдет начинающим, чтоб облегчить изучение торговли и не запутаться в самом начале с расчётами объемов, так же я использую его для виртуальной торговли, на графике в реальном времени рисуется позиция, на которой видно суму убытка или прибыли, то есть с помощью него я отрабатываю разные стратегии, не теряя реальные деньги на эксперименты.
Все расчеты делаются от вашего риска.
Вам необходимо указать какой ваш рабочий депозит, каким процентом от него вы готовы рискнуть на день, количество ваших убыточных сделок на одну торговую сессию, после которых вы прекратите торговлю на этот день, сумма риска будет поделена на количество убыточных сделок.
Принцип работы максимально прост, вам нужно указать на графике три линии 1 - линия время: она нужна чтоб от нее рисовался позиция на графике. 2 –линия Entry входа в позицию: цена по которой вы хотите купить актив. 3 – линия stop loss «SL»: цена при достижении которой закроется ваша убыточная сделка. Если линию 3-stop loss разместить под линией 2-Entry то будет рассчитываться длинная позиция, ели лини stop loss будет над линией Entry то будет рассчитываться короткая позиция. take profit «TP» рассчитывается автоматически согласно вашим настройкам в меню.
И так по порядку по меню с верху в низ.
1. Округление объема до целого: если выбрать «round -округлить», то объем приобретаемого актива (акции, монеты и другого) будет округлен до целого числа, но будьте внимательны если ваш депозит 100$, а стоимость 1 единицы актива более 1000$ то калькулятор выдаст ошибку. Акции MOEX торгуются только целыми лотами потому округление происходит автоматически.
2. Авто расчёт SL в 1 ATR выбранного TF (auto/manual) (ATR…): если выбрать auto и указать, к примеру ATR 1h, то ваш «SL», будет рассчитан автоматически и выставлен на расстоянии от Entry в 1 ATR часового time frame (это усредненное изменение цены за 1 час)
3. Депозит крипто валюты комиссия, депозит MOEX комиссия: сделал специально два разных депозита чтоб каждый раз не менять настройки, в зависимости от выбранного вами графика, MOEX или криптовалюта, будет автоматически браться в расчет нужный депозит и комиссия.
4. Проскальзывание: это процент на проскальзывание закрытия позиции по stop loss.
5. Просадка на день % (…): это процент от вашего торгового депозита, которым вы готовы рискнуть на одну торговую сессию, сумма риска надень.
6. Соотношение рис /прибыль 1/ (…): вам нужно указать соотношение SL/TP на основе этого рассчитывается ваш доход на сделку и на графике обрисовывается расстояние до TP.
7. Количество убыточных сделок (…): это количество ваших сделок на торговую сессию после получения, которых вы закончите торговлю на этот день, сумма риска надень будет поделена на количество убыточных сделок.
8. Позиция: можно вписать дату начала позиции и цены Entry и SL
9. ATR – укажите количество последних свечей для расчета среднего движения цены выбранного time frame
Теперь что касается таблиц расположенных по умолчанию с лева и справа в низу экрана, я сделал окна с описаниями, при наведении курсора на ячейку всплывает описание.
Supertrend with Stochastic OB/OS Arrows @KING
TradingView Idea: Supertrend with Stochastic Arrows @KING
Overview:
- Combining the Supertrend indicator with Stochastic arrows for a comprehensive market
view, providing insights into trend direction and potential reversal points.
Supertrend Settings:
- ATR Length: The length parameter for calculating the Average True Range (ATR).
- Factor: A multiplier used to determine the distance of the Supertrend line from the
price.
Supertrend Display:
The Supertrend is color-coded:
- During an uptrend, it is displayed in green .
- During a downtrend, it is displayed in red .
- The body of the candlesticks is filled with color during the corresponding trend direction.
Stochastic Settings:
- K Length: The period length for the %K line in the Stochastic oscillator.
- K Smoothing: Smoothing factor for %K.
- D Smoothing: Smoothing factor for %D.
- Overbought Level: The threshold indicating an overbought condition.
- Oversold Level: The threshold indicating an oversold condition.
Arrows:
- Buy arrows are displayed below the bars during a downtrend when Stochastic is below the
oversold level.
- Sell arrows are displayed above the bars during an uptrend when Stochastic is above the
overbought level.
Supertrend Display:
- The Supertrend line is plotted with a color change based on its direction.
- The body of the candlesticks is filled with green during an uptrend and red during a downtrend.
Usage:
- Traders can use this script to identify potential entry and exit points, leveraging the
insights provided by both the Supertrend indicator and Stochastic oscillator. This
combination aims to capture trend strength and potential reversal opportunities.
TrendSphere (Zeiierman)█ Overview
TrendSphere is designed to capture and visualize market trends and volatility effectively. It combines various volatility measures and trend analysis techniques, producing dynamic bands and a central trend line on the price chart. Its essence is to offer a real-time, reliable estimate of the underlying linear trend in the price.
█ How It Works
Real-Time Trend Estimation
At its core, TrendSphere is designed to offer instantaneous and accurate insights into the inherent linear trend of asset prices. By continually updating its estimations, it ensures traders are equipped with the most current data. This allows the construction of support and resistance bands around the estimated trend, providing trading opportunities.
Dynamic Bands and Trend Line
TrendSphere plots a central trend line and dynamic bands around it on the price chart. Influenced by volatility, the distance between these elements offers a clear view of market conditions and the strength or weakness of trends. These bands not only depict potential turning points but also offer traders valuable opportunities to trade within the confines of the overarching trend.
Volatility Measures
Traders can select their preferred volatility measure and adjust settings to best fit their analysis needs. The bands and trend line dynamically respond to these selections, offering a tailored view of market conditions.
ATR (Average True Range): Reflects market volatility by evaluating the range between high and low prices.
Historical Volatility: Computes price variability using the standard deviation of log returns.
Bollinger Band Width: Measures the distance between Bollinger Bands, providing another angle on market volatility.
Eliminating Common Complications
One of the standout features of TrendSphere is its ability to determine linear price trends without falling prey to challenges like backpainting or repainting. In layman's terms, this means traders get a more trustworthy and unaltered view of price movements, leading to enhanced decision-making in line with the genuine trajectory of price trends.
█ How to Use
Trend Analysis
Observe the central trend line; its direction indicates the prevailing trend. When the price is above the trend line, it suggests an upward trend, and when it's below, it indicates a downward trend.
Volatility Analysis
Wider bands imply higher market volatility, suggesting larger price swings, while narrower bands indicate lower volatility. Traders can use the bands to identify potential reversal points and overbought/oversold conditions.
Potential Trading Signals (Using Bollinger bandwidth as volatility measure)
Consider buying when the price is above the trend line with narrowing bands, suggesting a strong upward trend.
Consider selling when the price is below the trend line with narrowing bands, indicating a strong downward trend.
█ Settings
Select Volatility Measure
Choose the desired volatility measure: ATR, Historical Volatility, or Bollinger Band Width.
Volatility Scaling Factor
Adjusts the scale of the volatility measure, influencing the width of the bands.
Volatility Strength
Modifies the influence of volatility on the bands, adjusting their responsiveness to volatility changes.
Length
Defines the number of periods used in calculating the selected volatility measure, impacting the stability and responsiveness of the bands.
Trend Sensitivity
Adjusts the sensitivity of the trend component, affecting how quickly it reacts to price changes.
█ Related scripts with the same calculation philosophy
TrendCylinder
Predictive Trend and Structure
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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!
Donchian MA Bands [LuxAlgo]The Donchian MA Bands script is a complete trend indicator derived from the popular Donchian channel indicator as well as various customizable moving averages to estimate trend direction and build support/resistance levels & zones.
🔶 USAGE
The indicator outputs various elements, the main ones being a lower dynamic zone (blue by default), an upper dynamic zone (in orange by default), and one support and resistance level/zones (red/green by default).
A prominent lower zone is indicative of an uptrend, while a prominent upper zone is indicative of a downtrend. These zones can be used as support/resistance as well.
Support/resistance zones and levels can be used using a breakout methodology or to determine price bounced if a level was tested multiple times.
The indicator contains various modes affecting the output of the indicator, described below.
🔹 Clouds
Clouds return one upper/lower dynamic zone and look/act similarly to a trailing stop. Price over the lower zone is indicative of an uptrend, and price under the upper zone is indicative of a downtrend.
🔹 Upper Band
The upper band mode returns a dynamic zone closer to prices during an uptrend, and farther away during a downtrend.
This band can act as a support during uptrends.
🔹 Lower Band
The lower band mode returns a dynamic zone closer to prices during an uptrend, and farther away during a downtrend.
This band can act as a resistance during downtrends.
🔹 Bands
Bands return both upper and lower zones, the zones are more apparent depending on the price trend direction, with uptrends being indicated by a more visible lower zone, and downtrends being indicated by a more visible upper zone.
Breakout dots are highlighted when price breakout the indicator displayed extremities, and can be indicative of a confirmed trend reversal.
These breakouts can be more effective for trend following during trending markets. Ranging markets might return breakouts highlighting the top/bottom.
🔶 DETAILS
The core of this script is the highest / lowest mean average (MA) value for a given number of bars back ( Donchian lines).
This is repeated a few times with the obtained values.
When Bands are chosen ( Style ) this will be repeated 1 more time.
The type of mean average can be customized ( Type MA ), as well as the number of bars back ( Length ).
Depending on the choice of bands ( Style ) the script will focus on certain area's of interest.
When the option Clouds , Upper band or Lower band is chosen, an extra feature, support/resistance (S/R), will be shown.
These color-filled areas are visible when there is a difference between the 2nd and 3rd highest/lowest values.
The lines/areas can be used for stop loss, entry, exit,...
You can set the type of MA and Length separately ( Settings -> S/R ).
If you don't need this feature, simply set Type ( Settings -> S/R ) -> NONE
The shape sometimes resembles triangles, indicating a potential direction
Default the average of the highest and lowest values is plotted (Style -> Mid Donchian)
This can act as potential support/resistance or visualization of the trend, the mean average is not plotted but can be (Style -> MA)
🔹 Note
When the option Bands is chosen, an indication is plotted when the closing price breaks above the highest band or breaks below the lower band. This isn't necessarily a buy/sell signal, it is merely a signal that these lines are broken.
Users should decide on their own how they use the bands/lines/areas as entry, exit, trailing stop, stop loss, profit taking,...
🔶 SETTINGS
🔹 Bands
Style: Clouds (default), Upper band, Lower band, Bands
Type MA: choose between SMA, EMA, RMA, HullMA, WMA, VWMA (default), DEMA, TEMA, NONE (off)
Length: Length of moving average and Donchian calculations (default 20)
Colour Bands
🔹 S/R (Support/Resistance, visible with Clouds, Upper band or Lower band)
Type MA: choose between SMA, EMA, RMA, HullMA, WMA, VWMA (default), DEMA, TEMA, NONE (off)
Length: Length of moving average and Donchian calculations (default 20)
Colour S/R
RSI + Fibonacci HH LL Support Resistance I have integrated my past scripts and brushed them up further.
This tool allows for support/resistance, stop loss, take profit, and trend analysis using RSI and Fibonacci ratios.
For example, the Fibonacci ratio is used as follows
l1 = m - dist * 0.618
l2 = m - dist * 1.618
l3 = m - dist * 2.618
l4 = m - dist * 4.235
l5 = m - dist * 6.857
l6 = m - dist * 11.089
When the Fibonacci ratio reaches 2.618 or higher and the RSI smoothed by the 5-day EMA is oversold/overbought, the bar color is changed by a gradation.
We have tried to make the design as beautiful and good-looking as possible. You can also hide the lines to suit your own preference.
Example usages are here:
BTCUSDT 1Hour Chart
Using Fibonacci numbers
BTCUSDT 15min Chart, for Scalping
Here, to set the highest and lowest prices one hour ago, "4" is substituted as the calculation: 15 minutes x 4 = 60
BTCUSDT 15min Chart, for Scalping
To set the highest and lowest prices 4 hours ago , "4" is substituted as the calculation: 15 minutes x 16 = 240
BTCUSDT 15min Chart, for Scalping
To draw yesterday's high and low as support/resistance lines, I substituted the number "96" as 1440/15=96.
BTCUSDT 1min Chart, for Scalping
Substituted "60" to trail the highest and lowest prices over a 60-minute period on a 1-minute chart, and removed lines to beautify
BTCUSDT 1day Chart, for Long-Term Investers
This is an example of using "90" because it is a 1-day chart and assumes that 3 months = 90 days in order to trail the highest and lowest prices over a 3-month period and no lines.
My past scripts are here:
RSI + FIB HH LL StopLoss Finder／Contrarian Trades
Fibonacci HH LL TRAMA Band
Smart Money [Sir_Castle]The Smart Money indicator, developed by Sir_Castle , is a sophisticated tool designed to empower traders with a comprehensive set of features for insightful market analysis. Here's an overview of its key functionalities:
Bollinger Bands and Price Action Signals:
The indicator incorporates a signal system that facilitates a detailed study of Bollinger Bands and price action dynamics.
Traders can leverage these signals to gain valuable insights into market trends and potential entry/exit points.
Multiple Indicator Integration:
The Smart Money indicator seamlessly integrates multiple indicators, allowing users to customize and enhance the interpretation of signals generated by Bollinger Bands and price action studies.
This flexibility empowers traders to fine-tune their analysis based on their unique preferences and strategies.
Configurable EMA and EMA Clouds:
The indicator provides configurable Exponential Moving Averages (EMA) and EMA Clouds, enabling users to adapt these moving averages to suit their trading objectives.
Traders can efficiently incorporate these customizable features to align with their specific market perspectives.
ATR-Based Stop Loss Calculation:
The Smart Money indicator calculates Stop Loss levels using the Average True Range (ATR), offering a dynamic risk management tool.
This ATR-based approach adds a layer of precision to risk control strategies, enhancing overall trade management.
Configurable Bollinger Bands:
Traders can tailor Bollinger Bands settings to match their preferences and market conditions, ensuring adaptability to different asset classes and timeframes.
This customization feature provides a versatile tool for technical analysis.
Note: The Smart Money indicator is for educational purposes only. Signals aid in price action analysis, and users are encouraged to combine insights with personal due diligence.
Thank you for considering the Smart Money indicator for your trading toolkit. Happy trading!"
2Mars strategy [OKX]The strategy is based on the intersection of two moving averages, which requires adjusting the parameters (ratio and multiplier) for the moving average.
Basis MA length: multiplier * ratio
Signal MA length: multiplier
The SuperTrend indicator is used for additional confirmation of entry into a position.
Bollinger Bands and position reversal are used for take-profit.
About stop loss:
If activated, the stop loss price will be updated on every entry.
Basic setup:
Additional:
Alerts for OKX:
Educational Inidicators - Ichimoku CloudThis indicator is part of the Indicator Educational Series, intended to help newer traders understand and interact with various indicators. The goal is to allow users to gain a stronger understanding of an indicator's underlying philosophy, and visually see how changes to an indicator's parameters affects the trades suggested by that indicator.
The scripts in this series are all open source, with the code broken up into logical section and notated so beginner users can also understand some PineScript fundamentals.
Please understand that no indicator presented in and of itself constitutes a complete trading strategy. Rather, this series is to help users determine which indicators make sense to them, and which ones to combine to create their own trading strategy. All material presented is purely for educational purposes.
Presented here is the Ichimoku Cloud.
The Ichimoku Cloud was developed by Goichi Hosada, and first published in the late 1960s. It is used by traders to understand price momentum, and help forecast future price movements.
The indicator at its core can be understood from four component parts:
The Conversion Line - An average of the highest and lowest price in a given window. Typically, this is a "fast" average, and as such, this line has the lowest period
The Base Line - An average of the highest and lowest price in a given window. This is a "slower" average than the Conversion Line, and as such should have a larger period than the Conversion Line
Leading Span A - The average of the Conversion Line and the Base Line
[*}Leading Span B - An average of the highest and lowest price in a given window. This is the "slowest" average of all three, and as such should have the largest period
When plotted, the Conversion Line (orange by default), Base Line (purple by default), Leading Span A (blue by default), and Leading Span B (red by defaults) are all drawn on the chart along with the price candles. The area between the Leading Span A and Leading Span B lines are also shaded depending on which of the two lines is greater: whenever Leading Span A is greater the area is shaded positively (blue by default), whenever Leading Span B is greater the area is shaded negatively (red by defaults).
One interesting feature of the Ichimoku Cloud is that it drawn a certain number of candles forward. What this means is that where the cloud is drawn on the chart is reflective of prices that have occurred a number of candles in the past. This is done intentionally to help traders see how the current price is moving in relation to historical price movements on the asset.
See below for how the indicators look in their default colors on the chart
These indicators can then be used to start analyzing the price movement, and making trade decisions.
The first inference we can make is the momentum of the price. Since the lines are drawn from averages of varying speeds, the shaded area between the Leading Span lines can tell us whether the momentum is bullish (up) or bearish (down).
Whenever Leading Span A, the faster of the two lines, is above Leading Span B, that means that price is moving upward faster than it typically has, ergo we are in Bullish Momentum. On the chart, this is indicated in two ways:
The area is shaded positively (blue by default)
A green upward triangle is added to the chart to indicate where the momentum first turned Bullish
Whenever Leading Span A is below Leading Span B, that means that price is moving downward faster than it typically has, ergo we are in Bearish Momentum. On the chart, this is indicated in two ways:
The area is shaded negatively (red by default)
A red downward triangle is added to the chart to indicate where the momentum first turned Bearish
The next inference we can make is possible trading points. When we're in a period of momentum, as determined above, we know that price is going up or down, depending on the momentum we're in. We can then use the Conversion Line, Base Line, and the Price itself to confirm a good trade price.
When the asset is in Bullish Momentum, and the Conversion Line, our fastest average, is above the Base Line, our mid speed average, we know that the price is coming up quickly in the short term. When the Base Line and current Price are also above the cloud, then we have triple confirmation that price is going up, and we should enter a Long position. On the chart, this point is indicated with a green flag.
When the asset is in Bearish Momentum, and the Conversion Line is below the Base Line, we know that the price is going down quickly in the short term. When the Base Line and current Price are also below the cloud, then we have triple confirmation that price is going down, and we should enter a Short position. On the chart, this point is indicated with a red flag.
The script presented here also allows users to customize the various parameters of the Ichimoku Cloud, and visually see how analysis is affected by these changes. This is designed to allow users to modify parameters as they see fit, within certain constraints, to find the best set for them. The lines, cloud, and chart indicators will all update automatically with the users' inputs.
