Volumetric Rejection Blocks [UAlgo]The Volumetric Rejection Blocks is designed to help traders identify and visualize key price levels where volumetric rejections occur, which may indicate a shift in market sentiment. These rejections can signal potential trend reversals or areas where price action is likely to face support or resistance. By drawing rejection blocks based on volumetric strength, the indicator allows users to observe where significant buying or selling pressure has been exerted, which can be used as a reference point for future price action.
Also indicator dynamically calculates swing highs and lows, analyzes bullish and bearish strengths based on volume-weighted price movements, and displays rejection blocks on the chart. Each rejection block represents an area where the price attempted to move beyond a certain level but faced rejection, either on a close or wick basis. This can be particularly useful for traders who rely on market structure and order flow to make informed decisions about entering or exiting trades.
🔶 Key Features
Swing Length Customization: Allows users to define the swing length, helping tailor the sensitivity of the swing high and low detection to the specific market conditions.
Rejection Block Visualization: Displays up to the last 10 rejection blocks based on user settings, clearly marking areas of significant bullish or bearish rejections.
Volumetric Strength Analysis: The indicator calculates bullish and bearish strength for each rejection block, based on volume-weighted price movements over the last few bars, giving insight into the intensity of the rejection.
Violation Check Type: Offers two options for violation detection—"Close" and "Wick". This allows traders to specify whether a price level is considered broken only if it closes beyond the level or if any wick breaches it.
Bullish and Bearish Block Coloring: Rejection blocks are colored to represent bullish (green) and bearish (red) rejection areas. The color transparency can be adjusted for clear visibility overlaid on the price chart.
Market Structure Labels: Labels and lines marking "Market Structure Shift" (MSS) and "Break of Structure" (BOS) are displayed, giving traders context about significant market structure changes.
🔶 Interpreting the Indicator
Rejection Blocks: These colored blocks on the chart indicate areas where the price faced significant buying or selling pressure. A green block suggests a bullish rejection (support zone), where buyers absorbed the sell-off, potentially pushing the price upward. Conversely, a red block indicates a bearish rejection (resistance zone), where sellers overpowered buyers, potentially driving the price lower.
Strength Analysis: The width of the green and red sections within a rejection block represents the relative bullish and bearish strengths. A wider green section indicates stronger bullish support, while a wider red section suggests more robust bearish resistance. This helps traders gauge the likelihood of price holding or breaching these levels.
Market Structure Shift (MSS) and Break of Structure (BOS): The indicator automatically detects and labels significant changes in market structure. An "MSS" label indicates the first break, suggesting a potential shift in trend direction. A "BOS" label indicates a subsequent confirmation in trend direction, allowing traders to recognize potential trend continuations.
Violation Check: Traders can choose how to interpret breaks of these rejection blocks. Using the "Close" option provides a more conservative approach, requiring a close beyond the level for confirmation. The "Wick" option is more aggressive, treating any wick beyond the level as a break.
🔶 Disclaimer
Use with Caution: This indicator is provided for educational and informational purposes only and should not be considered as financial advice. Users should exercise caution and perform their own analysis before making trading decisions based on the indicator's signals.
Not Financial Advice: The information provided by this indicator does not constitute financial advice, and the creator (UAlgo) shall not be held responsible for any trading losses incurred as a result of using this indicator.
Backtesting Recommended: Traders are encouraged to backtest the indicator thoroughly on historical data before using it in live trading to assess its performance and suitability for their trading strategies.
Risk Management: Trading involves inherent risks, and users should implement proper risk management strategies, including but not limited to stop-loss orders and position sizing, to mitigate potential losses.
No Guarantees: The accuracy and reliability of the indicator's signals cannot be guaranteed, as they are based on historical price data and past performance may not be indicative of future results.
Trend Analysis
Inversion Fair Value Gap Oscillator | Flux Charts💎 GENERAL OVERVIEW
Introducing the new Inversion Fair Value Gap Oscillator (IFVG Oscillator) indicator! This unique indicator identifies and tracks Inversion Fair Value Gaps (IFVGs) in price action, presenting them in an oscillator format to reveal market momentum based on IFVG strength. It highlights bullish and bearish IFVGs while enabling traders to adjust detection sensitivity and apply volume and ATR-based filters for more precise setups. For more information about the process, check the "📌 HOW DOES IT WORK" section.
Features of the new IFVG Oscillator:
Fully Customizable FVG & IFVG Detection
An Oscillator Approach To IFVGs
Divergence Markers For Potential Reversals
Alerts For Divergence Labels
Customizable Styling
📌 HOW DOES IT WORK?
Fair Value Gaps are price gaps within bars that indicate inefficiencies, often filled as the market retraces. An Inversion Fair Value Gap is created in the opposite direction once a FVG gets invalidated. The IFVG Oscillator scans historical bars to identify these gaps, then filters them based on ATR or volume. Each IFVG is marked as bullish or bearish according to the opposite direction of the original FVG that got invalidated.
An oscillator is calculated using recent IFVGs with this formula :
1. The Oscillator starts as 0.
2. When a new IFVG Appears, it contributes (IFVG Width / ATR) to the oscillator of the corresponding type.
3. Each confirmed bar, the oscillator is recalculated as OSC = OSC * (1 - Decay Coefficient)
The oscillator aggregates and decays past IFVGs, allowing recent IFVG activity to dominate the signal. This approach emphasizes current market momentum, with oscillations moving bullish or bearish based on IFVG intensity. Divergences are marked where IFVG oscillations suggest potential reversals. Bullish Divergence conditions are as follows :
1. The current candlestick low must be the lowest of last 25 bars.
2. Net Oscillator (Shown in gray line by default) must be > 0.
3. The current Bullish IFVG Oscillator value should be no more than 0.1 below the highest value from the last 25 bars.
Traders can use divergence signals to get an idea of potential reversals, and use the Net IFVG Oscillator as a trend following marker.
🚩 UNIQUENESS
The Inversion Fair Value Gap Oscillator stands out by converting IFVG activity into an oscillator format, providing a momentum-based visualization of IFVGs that reveals market sentiment dynamically. Unlike traditional indicators that statically mark IFVG zones, the oscillator decays older IFVGs over time, showing only the most recent, relevant activity. This approach allows for real-time insight into market conditions and potential reversals based on oscillating IFVG strength, making it both intuitive and powerful for momentum trading.
Another unique feature is the combination of customizable ATR and volume filters, letting traders adapt the indicator to match their strategy and market type. You can also set-up alerts for bullish & bearish divergences.
⚙️ SETTINGS
1. General Configuration
Decay Coefficient -> The decay coefficient for oscillators. Increasing this setting will result in oscillators giving the weight to recent IFVGs, while decreasing it will distribute the weight equally to the past and recent IFVGs.
2. Fair Value Gaps
Zone Invalidation -> Select between Wick & Close price for FVG Zone Invalidation.
Zone Filtering -> With "Average Range" selected, algorithm will find FVG zones in comparison with average range of last bars in the chart. With the "Volume Threshold" option, you may select a Volume Threshold % to spot FVGs with a larger total volume than average.
FVG Detection -> With the "Same Type" option, all 3 bars that formed the FVG should be the same type. (Bullish / Bearish). If the "All" option is selected, bar types may vary between Bullish / Bearish.
Detection Sensitivity -> You may select between Low, Normal or High FVG detection sensitivity. This will essentially determine the size of the spotted FVGs, with lower sensitivies resulting in spotting bigger FVGs, and higher sensitivies resulting in spotting all sizes of FVGs.
3. Inversion Fair Value Gaps
Zone Invalidation -> Select between Wick & Close price for IFVG Zone Invalidation.
4. Style
Divergence Labels On -> You can switch divergence labels to show up on the chart or the oscillator plot.
Cross-Over Trend Detector MA 10/30"Trend Bend Cross-Over Trend Detector MA 10/30 " Indicator - Recognizing a Change in Trend
"Trend Bend" is an indicator created for easy visualization of trends and their change through the crossover of two moving averages (Moving Averages - MAs). This indicator helps traders determine market direction and possible trend reversals using a simple yet effective method.
Basic Script Functions and Logic
Pair Moving Averages:
Fast MA with a default length of 10 and Slow MA with a length of 30.
The fast moving average follows the current price more closely, while the slow moving average smooths out the trend. Crossing between the two indicates a change in trend direction.
Lengths can be changed according to the user's preferences and trading style.
Trend Reversal Signals:
When the fast moving average crosses the slow moving average from the bottom up, an "UP" signal is displayed - indicating a possible uptrend.
When the fast moving average crosses the slow moving average from top to bottom, a "DOWN" signal is displayed - indicating a potential downtrend.
[TT] Delta Based Support & Resistance Before Getting to the Indicator Concept, You need to understand What delta is.
For simple yet accurate understanding lets say the difference between Buyers and sellers is called delta. In a given time frame like 15mins for example, if we have 100 buyers and 75 sellers, delta will be 25, positive number indicates the buyers are dominating that particular candle. The volume of this candle will be 175, where delta indicates who dominated by just showing 25. We are literally following the volume, or in simple words the directional volume.
Now we all know that market is moved by Buyers and sellers and not by price alone. In that case why are we depending on indicators that are moved by close price which can be manipulated in real time. There is only one element in the market that cannot be manipulated and that is volume. We are using that Delta to determine our Direction and trend.
Note : Please wait for the candle to close and Level to form and only then enter on a retest of the level.
Usage of this Indicator.
in the following pictures one can see this indicator on NSE:BANKNIFTY And NSE:NIFTY , India's most Liquidity IDX and accuracy of our indicator.
Once the Buyers dominate the market after consolidation a support is formed and when sellers dominate a resistance is formed.
NSE:NIFTY 5Mins
Nifty50 1Hr
NSE:BANKNIFTY 1Hr
BANKNIFTY 5Min
BANKNIFTY 5Min
One can Use this in any Entity with volume like Commodities and Forex but do understand that forex have different exchange and different brokers and volume so be ware while working with such. following are the Forex and BTC and Gold
BITSTAMP:BTCUSD 1Hr
FXOPEN:XAUUSD 1Hr
4Hrs
This will help You get confirmation for Many other strategies. Always remember one thing, don't search for the trade let the trade come to you. Trade only when you see a perfect confirmation.
TRADE ENTRY
Enter in a trade when the price gets back in to the level Look at the following Chart in any timeframe.
For any Explanation you can contact me in Tradingview.
Note: CVD Calculation taken from Tradingview
Cloud [BRTLab]🔍 Overview
BRTLab Cloud is a powerful indicator designed to provide traders with a precise view of market trends and potential reversal points by combining an adapted Cloud similar to Ichimoku with custom mathematical logic. This indicator not only highlights trend direction and support/resistance zones but also integrates a Trend Reversal Signal (based on BRTLab Wave Hunter logic) to identify possible turning points, as well as a custom RSI to help spot entry opportunities within the cloud. It’s an effective tool for assessing both current trends and potential reversal points, while factoring in market uncertainty.
🔑 Key Features & Parameters
The BRTLab Cloud indicator operates similarly to the Ichimoku Cloud, but with an adapted trend-detection logic to provide more accurate signals. The primary methodology of the script is to determine the market trend using the Cloud, and then identify potential entry points based on signals derived from reversal points, overbought and oversold conditions using a custom RSI oscillator.
To enhance the versatility of the indicator, several filtering components are integrated, allowing users to tailor the signals to their specific trading styles:
Uncertainty Zones: The script features a unique uncertainty filter, which is visually represented by bars colored in orange on the chart. These zones highlight periods when the trend direction indicated by the Cloud might be changing, alerting the user to potential risks and advising caution before entering trades.
Cloud Width Filtering: A cloud width filter helps eliminate signals during weak trends, ensuring that only well-formed trends are considered for trading, which reduces the likelihood of acting on unreliable signals.
Trend Reversal Signal: The Trend Reversal Signal serves as a predictor for potential trend changes. It provides a signal marked with the symbol "↺" on the chart, indicating that a trend change is likely, and that the Cloud may soon shift direction. After this signal appears, continuing to trade with the current trend may be risky due to the potential reversal.
Key adjustable parameters include:
Cloud Timeframe: This setting allows the user to choose the timeframe for displaying the Cloud, either on the current timeframe or higher timeframes. Higher timeframes provide more stable and reliable trend directions, making this setting essential for adapting the indicator to different strategies.
Minimum Cloud Width (%): This parameter sets the minimum cloud width in percentage to filter out weak signals. By excluding signals on narrow clouds, the trader ensures that only significant trends are considered.
Signal Sensitivity: This adjusts the strength of the buy and sell signals generated by the custom RSI oscillator. A higher sensitivity value leads to stronger signals, which are ideal for traders seeking more decisive entry points.
Uncertainty Sensitivity: This setting helps define the "zone of uncertainty" on the chart, signaling potential reversals or areas where the trend may shift. A lower value makes the indicator more sensitive to uncertainty, potentially reducing the number of entries in risky conditions and filtering out unreliable signals.
Potential Take-Profit: This optional feature allows the user to display potential exit points based on the indicator's trend analysis. It provides an additional layer of guidance for setting targets and managing exits.
Among these settings, Cloud Timeframe, Signal Sensitivity, and Uncertainty Sensitivity offer the most flexibility, allowing users to adjust the script to match their preferred trading style:
The parameters Cloud Timeframe, Signal Sensitivity, and Uncertainty Sensitivity offer flexibility, with Cloud Timeframe providing stable trend direction from higher timeframes and Signal Sensitivity adjusting entry signal strength. The Uncertainty Sensitivity parameter filters high-risk areas, reducing potential entries by identifying trend ambiguity on the chart.
⚙️ Signals & Logic
The BRTLab Cloud indicator generates buy and sell signals based on a combination of cloud settings, custom RSI values, and uncertainty filters. The signal logic is designed to identify clear and reliable entry points, ensuring the trader can act with confidence. Here's how the signals work:
Long Signals (Buy): When the cloud is colored blue (indicating an uptrend), the custom RSI indicates a potential reversal within the cloud, and the uncertainty filter does not signal a risk zone, the indicator generates a buy signal. Additionally, the cloud width must meet the minimum percentage set in the "Minimum Cloud Width (%)" setting, which helps to exclude weak signals from narrow clouds, ensuring only strong trends are considered.
Short Signals (Sell): When the cloud is colored red (indicating a downtrend), the custom RSI signals a potential reversal inside the cloud, and the uncertainty filter does not indicate a risk zone, the indicator generates a sell signal. Similarly, the cloud width must match the minimum setting in "Minimum Cloud Width (%)", which filters out weak signals from narrow clouds.
Uncertainty Filter: The uncertainty filter plays a key role in ensuring that signals are reliable. If the uncertainty filter detects a risk zone (highlighted by orange-colored bars on the chart), the signal is considered less reliable, and traders are advised to be cautious. This feature significantly reduces the chances of acting on false signals.
Visualization: When a buy or sell signal is triggered, the indicator provides clear visual cues such as arrows or symbols on the chart to help the trader easily identify the signal. These visual cues are accompanied by the respective cloud color (blue for uptrend, red for downtrend), making it easy for traders to interpret the market direction at a glance.
🌟 Why it's Unique
The BRTLab Cloud indicator is based on a cloud system similar to the Ichimoku Cloud, but with several unique enhancements that significantly improve trend analysis and reversal detection:
Combination of Ichimoku Cloud and Trend Reversal Detection: The indicator incorporates a modified mathematical logic for more accurate detection of trend reversal points. This enhanced logic makes it more effective at spotting reversals compared to traditional methods. Additionally, the indicator provides a clear display of trends from higher timeframes without repainting, allowing traders to rely on more stable and reliable trend data, which is particularly useful for multi-timeframe analysis.
Unique Cloud Width Filtering: The "Minimum Cloud Width (%)" setting ensures that only strong trends trigger buy or sell signals, filtering out weak signals from narrow clouds. A wider cloud indicates a more established and reliable trend, providing further confidence in the trade direction.
Custom RSI Signal Sensitivity: The custom RSI has been optimized for more accurate entry and exit points across different trend phases. The "Signal Sensitivity" setting allows traders to adjust the indicator based on current market conditions, making it adaptable to both volatile and stable market environments. This helps to identify trend reversals with greater precision.
Enhanced Visualization: The indicator offers flexible visualization options, including gradient cloud styles and extremum zones, which aid in confirming key levels. These features enhance the trader’s ability to interpret market conditions and make informed decisions about entry and exit points.
🔶 Application of the Indicator
Example Usage:
Trading with BRTLab Cloud involves taking trend signals within the cloud. Long and short signals occur when the price reaches significant levels in the cloud, filtered by "Signal Sensitivity," "Uncertainty Sensitivity," and "Minimum Cloud Width (%)" settings. These features allow traders to determine optimal entry and exit points by signaling potential reversals while factoring in market uncertainty.
✅ Conclusion
BRTLab Cloud is a versatile and advanced tool for trend and reversal analysis, blending Ichimoku-style cloud methodology, Trend Reversal Signals (based on BRTLab Wave Hunter logic), and a custom RSI to deliver accurate entry and exit points. This indicator suits both short- and long-term trading strategies, providing precise signals that help minimize risk, particularly in uncertain market conditions.
⚠️ Risk Disclaimer
Trading involves significant risk, and most day traders experience losses. All content, tools, scripts, articles, and educational materials provided by BRTLab are solely for informational and educational purposes. Past performance does not guarantee future results.
Pivot Points (Standard, Woodie, Camarilla, Fibonacci)Pivot Points is a technical indicator that is used to determine the levels at which price may face support or resistance. The Pivot Points indicator consists of a pivot point (PP) level and several support (S) and resistance (R) levels.
Calculation
PP, resistance and support values are calculated in different ways, depending on the type of the indicator, specified by the Type field in indicator inputs. To calculate PP and support/resistance levels, the values OPENcurr, OPENprev, HIGHprev, LOWprev, CLOSEprev are used, which are the values of the current open and previous open, high, low and close, respectively, on the indicator resolution. The indicator resolution is set by the input of the Pivots Timeframe. If the Pivots Timeframe is set to AUTO (the default value), then the increased resolution is determined by the following algorithm:
for intraday resolutions up to and including 15 min, DAY (1D) is used
for intraday resolutions more than 15 min, WEEK (1W) is used
for daily resolutions MONTH is used (1M)
for weekly and monthly resolutions, 12-MONTH (12M) is used
Simplest Strategy Crossover with Labels Buy/Sell to $1000This Pine Script code, titled Custom Moving Average Crossover with Labels, is a trading indicator developed for the TradingView platform. It enables traders to visualize potential buy and sell signals based on the crossover of two moving averages, offering customizable settings for enhanced flexibility. Here’s a breakdown of its key features:
Key Features
User-Defined Moving Averages:
The script includes two moving averages: a fast and a slow one. Users can adjust the periods of each average (default values are 10 for the fast MA and 100 for the slow MA), allowing them to adapt the indicator to various market conditions and trading styles.
Time-Restricted Signal Validity:
The indicator includes settings for active trading hours, defined in UTC time. Users specify a start and end hour, making it possible to limit buy and sell signals to certain times of the day. This is especially useful for traders who wish to avoid signals outside their preferred trading hours or during periods of high volatility.
Crossover-Based Buy and Sell Signals:
Buy Signal: A "Buy" label is triggered and displayed when the fast moving average crosses above the slow moving average within the user-defined trading hours, signifying a potential upward trend.
Sell Signal: A "Sell" label is generated when the fast moving average crosses below the slow moving average, indicating a possible downtrend. Labels are displayed on the chart, color-coded for easy identification: green for buys and red for sells.
Profit Target Labels (+100 Points):
After each buy or sell entry, the indicator tracks price movements. When the price increases by 100 points from a buy entry or decreases by 100 points from a sell entry, a +100 label appears to signify a 100-point movement.
These labels serve as checkpoints to help traders assess performance and decide on further actions, such as taking profits or adjusting stop losses.
Visual Customization:
The moving averages are color-coded (blue for fast MA, red for slow MA) for easy distinction, and label text appears in white to enhance visibility against various chart backgrounds.
Benefits for Traders
Efficient Trade Identification: The moving average crossover combined with time-based restrictions allows traders to capture key market trends within chosen hours.
Clear Profit Checkpoints: The +100 point label alerts traders to significant price movement, useful for those looking for set profit targets.
Flexibility: Customizable inputs give users control over the indicator’s behavior, making it suitable for both day trading and swing trading.
This indicator is designed for traders looking to enhance their technical analysis with reliable, user-defined buy/sell signals, helping to increase confidence and improve trade timing based on objective data.
Updated Volume SuperTrend AI (Expo)// This work is licensed under a Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) creativecommons.org
// © Zeiierman
//@version=5
indicator("Volume SuperTrend AI (Expo)", overlay=true)
// ~~ ToolTips {
t1="Number of nearest neighbors in KNN algorithm (k): Increase to consider more neighbors, providing a more balanced view but possibly smoothing out local patterns. Decrease for fewer neighbors to make the algorithm more responsive to recent changes. Number of data points to consider (n): Increase for more historical data, providing a broader context but possibly diluting recent trends. Decrease for less historical data to focus more on recent behavior."
t2="Length of weighted moving average for price (KNN_PriceLen): Higher values create a smoother price line, influencing the KNN algorithm to be more stable but less sensitive to short-term price movements. Lower values enhance responsiveness in KNN predictions to recent price changes but may lead to more noise. Length of weighted moving average for SuperTrend (KNN_STLen): Higher values lead to a smoother SuperTrend line, affecting the KNN algorithm to emphasize long-term trends. Lower values make KNN predictions more sensitive to recent SuperTrend changes but may result in more volatility."
t3="Length of the SuperTrend (len): Increase for a smoother trend line, ideal for identifying long-term trends but possibly ignoring short-term fluctuations. Decrease for more responsiveness to recent changes but risk of more false signals. Multiplier for ATR in SuperTrend calculation (factor): Increase for wider bands, capturing larger price movements but possibly missing subtle changes. Decrease for narrower bands, more sensitive to small shifts but risk of more noise."
t4="Type of moving average for SuperTrend calculation (maSrc): Choose based on desired characteristics. SMA is simple and clear, EMA emphasizes recent prices, WMA gives more weight to recent data, RMA is less sensitive to recent changes, and VWMA considers volume."
t5="Color for bullish trend (upCol): Select to visually identify upward trends. Color for bearish trend (dnCol): Select to visually identify downward trends. Color for neutral trend (neCol): Select to visually identify neutral trends."
//~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~}
// ~~ Input settings for K and N values
k = input.int(3, title = "Neighbors", minval=1, maxval=100,inline="AI", group="AI Settings")
n_ = input.int(10, title ="Data", minval=1, maxval=100,inline="AI", group="AI Settings", tooltip=t1)
n = math.max(k,n_)
//~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~}
// ~~ Input settings for prediction values
KNN_PriceLen = input.int(20, title="Price Trend", minval=2, maxval=500, step=10,inline="AITrend", group="AI Trend")
KNN_STLen = input.int(100, title="Prediction Trend", minval=2, maxval=500, step=10, inline="AITrend", group="AI Trend", tooltip=t2)
aisignals = input.bool(true,title="AI Trend Signals",inline="signal", group="AI Trend")
Bullish_col = input.color(color.lime,"",inline="signal", group="AI Trend")
Bearish_col = input.color(color.red,"",inline="signal", group="AI Trend")
//~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~}
// ~~ Define SuperTrend parameters
len = input.int(10, "Length", minval=1,inline="SuperTrend", group="Super Trend Settings")
factor = input.float(3.0,step=.1,inline="SuperTrend", group="Super Trend Settings", tooltip=t3)
maSrc = input.string("WMA","Moving Average Source", ,inline="", group="Super Trend Settings", tooltip=t4)
upCol = input.color(color.lime,"Bullish Color",inline="col", group="Super Trend Coloring")
dnCol = input.color(color.red,"Bearish Color",inline="col", group="Super Trend Coloring")
neCol = input.color(color.blue,"Neutral Color",inline="col", group="Super Trend Coloring", tooltip=t5)
//~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~}
// ~~ Calculate the SuperTrend based on the user's choice
vwma = switch maSrc
"SMA" => ta.sma(close*volume, len) / ta.sma(volume, len)
"EMA" => ta.ema(close*volume, len) / ta.ema(volume, len)
"WMA" => ta.wma(close*volume, len) / ta.wma(volume, len)
"RMA" => ta.rma(close*volume, len) / ta.rma(volume, len)
"VWMA" => ta.vwma(close*volume, len) / ta.vwma(volume, len)
atr = ta.atr(len)
upperBand = vwma + factor * atr
lowerBand = vwma - factor * atr
prevLowerBand = nz(lowerBand )
prevUpperBand = nz(upperBand )
lowerBand := lowerBand > prevLowerBand or close < prevLowerBand ? lowerBand : prevLowerBand
upperBand := upperBand < prevUpperBand or close > prevUpperBand ? upperBand : prevUpperBand
int direction = na
float superTrend = na
prevSuperTrend = superTrend
if na(atr )
direction := 1
else if prevSuperTrend == prevUpperBand
direction := close > upperBand ? -1 : 1
else
direction := close < lowerBand ? 1 : -1
superTrend := direction == -1 ? lowerBand : upperBand
//~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~}
// ~~ Collect data points and their corresponding labels
price = ta.wma(close,KNN_PriceLen)
sT = ta.wma(superTrend,KNN_STLen)
data = array.new_float(n)
labels = array.new_int(n)
for i = 0 to n - 1
data.set(i, superTrend )
label_i = price > sT ? 1 : 0
labels.set(i, label_i)
//~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~}
// ~~ Define a function to compute distance between two data points
distance(x1, x2) =>
math.abs(x1 - x2)
//~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~}
// ~~ Define the weighted k-nearest neighbors (KNN) function
knn_weighted(data, labels, k, x) =>
n1 = data.size()
distances = array.new_float(n1)
indices = array.new_int(n1)
// Compute distances from the current point to all other points
for i = 0 to n1 - 1
x_i = data.get(i)
dist = distance(x, x_i)
distances.set(i, dist)
indices.set(i, i)
// Sort distances and corresponding indices in ascending order
// Bubble sort method
for i = 0 to n1 - 2
for j = 0 to n1 - i - 2
if distances.get(j) > distances.get(j + 1)
tempDist = distances.get(j)
distances.set(j, distances.get(j + 1))
distances.set(j + 1, tempDist)
tempIndex = indices.get(j)
indices.set(j, indices.get(j + 1))
indices.set(j + 1, tempIndex)
// Compute weighted sum of labels of the k nearest neighbors
weighted_sum = 0.
total_weight = 0.
for i = 0 to k - 1
index = indices.get(i)
label_i = labels.get(index)
weight_i = 1 / (distances.get(i) + 1e-6)
weighted_sum += weight_i * label_i
total_weight += weight_i
weighted_sum / total_weight
//~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~}
// ~~ Classify the current data point
current_superTrend = superTrend
label_ = knn_weighted(data, labels, k, current_superTrend)
//~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~}
// ~~ Plot
col = label_ == 1?upCol:label_ == 0?dnCol:neCol
plot(current_superTrend, color=col, title="Volume Super Trend AI")
upTrend = plot(superTrend==lowerBand?current_superTrend:na, title="Up Volume Super Trend AI", color=col, style=plot.style_linebr)
Middle = plot((open + close) / 2, display=display.none, editable=false)
downTrend = plot(superTrend==upperBand?current_superTrend:na, title="Down Volume Super Trend AI", color=col, style=plot.style_linebr)
fill_col = color.new(col,90)
fill(Middle, upTrend, fill_col, fillgaps=false,title="Up Volume Super Trend AI")
fill(Middle, downTrend, fill_col, fillgaps=false, title="Down Volume Super Trend AI")
//~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~}
// ~~ Ai Super Trend Signals
Start_TrendUp = col==upCol and (col !=upCol or col ==neCol) and aisignals
Start_TrendDn = col==dnCol and (col !=dnCol or col ==neCol) and aisignals
// ~~ Add buy and sell signals
plotshape(Start_TrendUp, title="Buy Signal", location=location.belowbar, color=Bullish_col, style=shape.labelup, text="BUY")
plotshape(Start_TrendDn, title="Sell Signal", location=location.abovebar, color=Bearish_col, style=shape.labeldown, text="SELL")
RSI by ShrimpChén thánh Rsi
Chỉ báo này sẽ cho bạn biết khi nào rsi sẽ phân kỳ
Cũng như lồng ghép các đường ema và wma chu kỳ 9 và 45 vào rsi
Điều này làm cho việc đọc biểu đồ dễ dàng hơn rất nhiều
3 EMA Bands with Color CodingEMA Bands with Colors Coding
This indicator plots three Exponential Moving Averages (EMA) with color-coded signals based on their order. It provides quick insights into market trends:
Green: EMA 1 > EMA 2 > EMA 3, indicating a potential bullish trend.
Red: EMA 3 > EMA 2 > EMA 1, signaling a potential bearish trend.
Gray: Any other order of EMAs, showing a neutral or mixed trend.
1020High-Low Channel Indicator with Selectable AlertsDisplay the highest and lowest values for the past 20 and past 10 periods.
Universal Trend and Valuation System [QuantAlgo]Universal Trend and Valuation System 📊🧬
The Universal Trend and Valuation System by QuantAlgo is an advanced indicator designed to assess asset valuation and trends across various timeframes and asset classes. This system integrates multiple advanced statistical indicators and techniques with Z-score calculations to help traders and investors identify overbought/sell and oversold/buy signals. By evaluating valuation and trend strength together, this tool empowers users to make data-driven decisions, whether they aim to follow trends, accumulate long-term positions, or identify turning points in mean-reverting markets.
💫 Conceptual Foundation and Innovation
The Universal Trend and Valuation System by QuantAlgo provides a unique framework for assessing market valuation and trend dynamics through a blend of Z-score analysis and trend-following algorithm. Unlike traditional indicators that only reflect price direction, this system incorporates multi-layered data to reveal the relative value of an asset, helping users determine whether it’s overvalued, undervalued, or approaching a trend reversal. By combining high quality trend-following tools, such as Dynamic Score Supertrend, DEMA RSI, and EWMA, it evaluates trend stability and momentum quality, while Z-scores of performance ratios like Sharpe, Sortino, and Omega standardize deviations from historical trends, enabling traders and investors to spot extreme conditions. This dual approach allows users to better identify accumulation (undervaluation) and distribution (overvaluation) phases, enhancing strategies like Dollar Cost Averaging (DCA) and overall timing for entries and exits.
📊 Technical Composition and Calculation
The Universal Trend-Following Valuation System is composed of several trend-following and valuation indicators that create a dynamic dual scoring model:
Risk-Adjusted Ratios (Sharpe, Sortino, Omega): These ratios assess trend quality by analyzing an asset’s risk-adjusted performance. Sharpe and Sortino provide insight into trend consistency and risk/reward, while Omega evaluates profitability potential, helping traders and investors assess how favorable a trend or an asset is relative to its associated risk.
Dynamic Z-Scores: Z-scores are applied to various metrics like Price, RSI, and RoC, helping to identify statistical deviations from the mean, which indicate potential extremes in valuation. By combining these Z-scores, the system produces a cumulative score that highlights when an asset may be overbought or oversold.
Aggregated Trend-Following Indicators: The model consolidates multiple high quality indicators to highlight probable trend shifts. This helps confirm the direction and strength of market moves, allowing users to spot reversals or entry points with greater clarity.
📈 Key Indicators and Features
The Universal Trend and Valuation System combines various technical and statistical tools to deliver a well-rounded analysis of market trends and valuation:
The indicator utilizes trend-following indicators like RSI with DEMA smoothing and Dynamic Score Supertrend to minimize market noise, providing clearer and more stable trend signals. Sharpe, Sortino, and Omega ratios are calculated to assess risk-adjusted performance and volatility, adding a layer of analysis for evaluating trend quality. Z-scores are applied to these ratios, as well as Price and Rate of Change (RoC), to detect deviations from historical trends, highlighting extreme valuation levels.
The system also incorporates multi-layered visualization with gradient color coding to signal valuation states across different market conditions. These adaptive visual cues, combined with threshold-based alerts for overbought and oversold zones, help traders and investors track probable trend reversals or continuations and identify accumulation or distribution zones, adding reliability to both trend-following and mean-reversion strategies.
⚡️ Practical Applications and Examples
✅ Add the Indicator: Add the Universal Trend-Following Valuation System to your favourites and to your chart.
👀 Monitor Trend Shifts and Valuation Levels: Watch the average Z score, trend probability state and gradient colors to identify overbought and oversold conditions. During undervaluation, consider using a DCA strategy to gradually accumulate positions (buy), while overvaluation may signal distribution or profit-taking phases (sell).
🔔 Set Alerts: Configure alerts for significant trend or valuation changes, ensuring you can act on market movements promptly, even when you’re not actively monitoring the charts.
🌟 Summary and Usage Tips
The Universal Trend and Valuation System by QuantAlgo is a highly adaptable tool, designed to support both trend-following and valuation analysis across different market environments. By combining valuation metrics with high quality trend-following indicators, it helps traders and investors identify the relative value of an asset based on historical norms, providing more reliable overbought/sell and oversold/buy signals. The tool’s flexibility across asset types and timeframes makes it ideal for both short-term trading and long-term investment strategies like DCA, allowing users to capture meaningful trends while minimizing noise.
ES Trend-following Strategy with ExitsES Trend-following Strategy with Exits
This Pine Script strategy is designed for trend-following in the ES futures market using the 9 EMA and 50 EMA crossovers, along with RSI and VWAP filters.
Features
Entry Signals:
Long: When the 9 EMA crosses above the 50 EMA, price is above VWAP, and RSI is within the oversold/overbought range.
Short: When the 9 EMA crosses below the 50 EMA, price is below VWAP, and RSI is within the oversold/overbought range.
Exit Signals:
The exit signals provided in this strategy are based on the 9 EMA crossing back below the 50 EMA for long positions, or above the 50 EMA for short positions. However, these exit signals may not be 100% accurate every time.
To ensure you are exiting at the right time, always confirm that the 9 EMA has crossed the 50 EMA before closing your position. If the crossover hasn't occurred, it’s better to wait for it to happen, as exiting too early might result in missed profits.
Note: The exit logic will be refined and updated in future versions to provide more effective and reliable trend reversal signals.
Alerts: Alerts are triggered for entry and exit signals for both long and short positions.
This strategy helps capture strong trends, and the exit logic will be improved for better trend reversal confirmation in future updates.
Note: This script is for educational purposes and should be used at your own discretion. Always test strategies thoroughly before live trading.
IG10x TrendLineBlocksAa cutting-edge tool designed to help traders identify and capitalize on key market movements with accuracy and confidence. By combining advanced trend detection with automated alerts, this script ensures you stay ahead of the market and make well-timed, profitable decisions.
With real-time notifications of trend changes, you can catch both bullish and bearish shifts as they happen. The built-in visual tools make it easy to assess market conditions at a glance, letting you know when the market is primed for entry or exit. Say goodbye to guesswork and hello to clarity, precision, and increased profitability.
The Forexation: Super Trend SignalsOverview:
The Forexation: Super Trend Signals (STS) indicator was crafted to enhance visualization of market trends by integrating multiple technical analysis tools and adding logic to them so they color bullish, bearish, counter trends, and cautious trends. By combining standard and higher-timeframe Supertrends with dynamic EMAs and VWAP, STS offers a multi-dimensional view of market dynamics. This synergy allows traders to:
Assess Trend Strength and Alignment
Identify Momentum Shifts and Reversals
Gauge Market Sentiment through Volume-Weighted Pricing
Filter Out Market Noise for Clearer Signals
Key Features and Synergy:
1. Dual Supertrend Analysis:
Standard Supertrend:
Utilizes the Average True Range (ATR) and a multiplier factor to detect immediate market trends.
Customizable ATR Length and Factor to adjust sensitivity to market volatility.
Used as a guide to help follow the trend and identify where if price breaks through we can be reversing trend or entering a counter/cautious trend.
Higher Time Frame (HTF) Supertrend:
Integrates Supertrend data from a higher timeframe for a broader market perspective.
Smoothing applied via an EMA to reduce lag and false signals.
**Synergistic Effect:
Trend Alignment: By analyzing both standard and HTF Supertrends, STS identifies when short-term trends align with long-term trends, increasing the reliability of trend signals.
Dynamic Adjustments: Traders can adjust parameters to fine-tune the balance between responsiveness and stability.
2. Customized EMAs with Contextual Color-Coding:
Fast and Slow EMAs:
Customizable periods to match different trading strategies and timeframes.
EMAs are used to identify momentum shifts and potential reversals through crossovers.
Dynamic Color-Coding:
EMA lines change color based on their relationship with each other, the Supertrends, and VWAP.
Visual Interpretation:
Bullish Alignment: Fast EMA above Slow EMA, both above Supertrend and VWAP, signals strong upward momentum.
Bearish Alignment: Fast EMA below Slow EMA, both below Supertrend and VWAP, signals strong downward momentum.
Caution Zones: Misalignment or crossovers indicate potential reversals or consolidation.
**Synergistic Effect:
Momentum Confirmation: EMA crossovers are validated against Supertrend directions, reducing false signals.
Support and Resistance Zones: The area between EMAs acts as dynamic support/resistance, visualized through an optional fill.
3. VWAP Integration for Volume-Weighted Insights:
VWAP Analysis:
Calculates the average price weighted by volume, providing insights into institutional trading levels and market sentiment.
**Synergistic Effect:
Trend Validation: Confirms trend strength by analyzing whether price and EMAs are above or below VWAP.
Counter-Trend Detection: Identifies potential pullbacks or reversals when price interacts with VWAP against the prevailing trend of the standard and higher time frame SuperTrend.
4. Composite Signal Generation:
Color-Coded Market Conditions:
Bullish Signals (Green): Strong upward trends with alignment across standard + HTF Supertrend, EMAs, and price above VWAP.
Bearish Signals (Red): Strong downward trends with inverse alignment.
Caution State (Orange): Potential market reversals or uncertainty when indicators are misaligned. (Example: price above VWAP but under HTF SuperTrend)
Counter-Trend Conditions (Yellow): Signals possible pullbacks or consolidations when price or EMAs cross VWAP. (Example: Price is above VWAP & HTF SuperTrend but the EMAs and Standard SuperTrend are in a down trend)
**Synergistic Effect:
Enhanced Signal Accuracy: By requiring multiple confirmations across different indicators and timeframes, STS filters out noise and increases the probability of trends in the market.
Timely Alerts: Alerts are generated when critical conditions are met, keeping traders informed of significant market movements.
Underlying Concepts and Calculations:
Supertrend Algorithm:
Calculation:
Supertrend is calculated using ATR to set a dynamic trailing stop that follows price movements.
The indicator switches between bullish and bearish modes when price crosses the Supertrend line.
Customization:
ATR Length and Factor can be adjusted to make the Supertrend more or less sensitive to price changes.
In STS: Both standard and HTF Supertrends are used, with the HTF providing longer-term trend context.
Exponential Moving Averages (EMAs):
Calculation:
EMAs apply more weight to recent prices, making them more responsive than Simple Moving Averages (SMAs).
Crossovers between Fast and Slow EMAs signal potential momentum shifts.
Customization:
Periods for Fast and Slow EMAs are user-defined to suit different trading styles.
In STS: EMA behavior is analyzed in conjunction with Supertrend and VWAP to validate signals.
Volume Weighted Average Price (VWAP):
Calculation:
VWAP accumulates total dollars traded (price times volume) divided by total volume over a specific period.
Reflects the average price at which the instrument has traded throughout the day based on both price and volume.
**In STS:
VWAP serves as a dynamic support/resistance level.
Interaction with VWAP can indicate shifts in market sentiment, especially when combined with other indicators.
Justifying the Value of STS:
Holistic Market Analysis:
STS doesn't just merge indicators; it creates a cohesive system where each component validates and enhances the others.
This integrated approach offers a more reliable analysis than using individual indicators in isolation.
Customizable and Adaptive:
Traders have control over key parameters, allowing STS to be tailored to different markets and trading styles.
The ability to adjust sensitivity helps in adapting to varying market conditions.
Enhanced Decision-Making:
By providing clear visual cues and alerts, STS aids in quick interpretation of complex market data.
The indicator helps in identifying high-probability trend opportunities and managing risk effectively with trailing SuperTrend guidance.
Unique Signal Filtering:
The combination of multiple confirmations reduces the likelihood of false trend signals.
The use of higher timeframe data and volume-weighted analysis adds depth to trend assessment.
How to Use STS Effectively:
1. Configuring Settings:
Supertrend Settings:
Adjust ATR Length and Factor to set the desired sensitivity.
Select the Higher Time Frame for the HTF Supertrend to align with your trading horizon.
Set the Smoothing Period for the EMA applied to the HTF Supertrend.
EMA Settings:
Define periods for Fast and Slow EMAs based on your strategy.
Ensure the Fast EMA period is shorter than the Slow EMA for effective crossovers.
Color and Display Settings:
Customize colors for different market conditions to enhance visual clarity.
Choose whether to display the HTF Supertrend, EMA lines, EMA fill, and VWAP.
2. Interpreting Signals:
Bullish Scenario:
Supertrends indicate an uptrend.
Fast EMA crosses above Slow EMA, both trending upwards.
Price and EMAs are above VWAP.
Action: Consider long positions, using the standard Supertrend as a trailing stop.
Bearish Scenario:
Supertrends indicate a downtrend.
Fast EMA crosses below Slow EMA, both trending downwards.
Price and EMAs are below VWAP.
Action: Consider short positions. using the standard Supertrend as a trailing stop
Caution and Counter-Trend Signals:
Misalignment between indicators or color changes to orange/yellow.
Action: Exercise caution, tighten stops, or wait for clearer signals.
4. Setting Up Alerts:
Access the Alerts menu.
Configure alerts for:
Supertrend Direction Changes
EMA Crossovers
Price Crossing VWAP
Set alert actions and ensure they trigger on confirmed data by selecting "Once Per Bar Close."
Example Trading Strategies:
Trend Following:
Use STS to identify strong trends where all indicators are aligned.
Enter positions in the direction of the trend.
Use Supertrend lines as dynamic stop-loss levels.
Pullback Entries:
Wait for price to pull back to the EMA fill area or VWAP in a prevailing trend.
Look for bounce signals off these levels when supported by Supertrend direction.
Counter-Trend Opportunities:
Identify potential reversals when caution or counter-trend signals appear.
Confirm with additional analysis or indicators before taking positions against the main trend.
Disclaimer:
This indicator is intended to aid in technical analysis and should be used as part of a comprehensive trading strategy. It does not guarantee profits and carries the risk of loss. Trading financial instruments involves significant risk; please consult with a qualified financial advisor before making any investment decisions. Past performance is not indicative of future results.
Final Notes:
The Forexation: Super Trend Signals (STS) indicator represents a thoughtfully engineered tool that brings together multiple technical elements to provide a more nuanced understanding of market behavior. By leveraging the strengths of Supertrend, EMAs, and VWAP in unison, STS aims to enhance trading precision and confidence in the trends the market creates but also guide risk management levels for managing a trade and stop loss areas.
We are committed to continuous improvement and value user feedback. Please share your experiences and suggestions to help us refine the indicator further.
Happy Trading!
New Rate - PROIndicator Description: New Rate - PRO
The New Rate - PRO is an advanced trading indicator designed to assist traders in identifying significant price levels and potential reversal points within a specified time frame. By highlighting key highs and lows, projecting trendlines, and providing visual cues, this indicator enhances your ability to make informed trading decisions. It offers extensive customization options, ensuring adaptability to various trading styles and market conditions.
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Key Features:
Customizable Color Themes: Choose between Dark and Light color styles to match your chart preferences.
High and Low Line Detection: Automatically identifies and draws lines for significant high and low price levels within the defined analysis period.
Midline Projection: Optionally displays a midline representing the 50% range between the detected high and low, aiding in trend analysis.
Candle Coloring: Colors the first six candles within the analysis range with a specific color, while the remaining candles are displayed in a subdued gray for clarity.
Trading Session Highlight: Highlights the designated trading hours on the chart, providing a clear visual reference for active trading periods.
Touch Detection Arrows: Plots arrows on the chart when the price touches the detected high or low levels, indicating potential trading opportunities.
Extensive Customization Options: Allows users to adjust line colors, styles, widths, label texts, and more to suit individual trading preferences.
Timeframe and Range Configuration: Defines the specific timeframe and time range for analysis, ensuring precise detection of significant price levels.
How Does the Indicator Work?
Color Style Selection:
- Choose between "Dark" or "Light" themes to match your chart setup, adjusting the color palette for optimal visibility.
High and Low Line Detection:
- The indicator analyzes the first six candles within the specified time range to identify the highest and lowest price levels.
- Once detected, it draws horizontal lines extending 25 candles to the right, marking these significant levels on the chart.
Midline Projection:
- If enabled, the indicator calculates the midpoint between the detected high and low.
- It then draws a horizontal line at this midpoint, providing an additional reference for potential support or resistance.
Candle Coloring:
- The first six candles within the analysis period are colored based on user selection (default: yellow).
- Subsequent candles are displayed in a semi-transparent gray, allowing the key candles to stand out.
Trading Session Highlight:
- Highlights the active trading hours on the chart using a semi-transparent orange background.
- This visual aid helps traders focus on periods of increased market activity.
Touch Detection Arrows:
- When the price touches the previously detected high or low levels, the indicator plots an upward green arrow or a downward red arrow, respectively.
- These arrows signal potential entry points for buy or sell trades.
Customization of Labels and Lines:
- Users can customize the colors, styles (Solid, Dotted, Dashed), and widths of the high, low, and midline.
- Label texts and font sizes are also adjustable to enhance readability.
How to Use the Indicator?
Setup Color Themes:
- Select your preferred color theme ("Dark" or "Light") to ensure the indicator aligns with your chart's appearance.
Configure High and Low Lines:
- Adjust the line color, style, and width to clearly distinguish high and low levels on the chart.
- Enable or disable the midline based on your analysis needs.
Set Timeframe and Analysis Range:
- Define the chart's timeframe in minutes (e.g., 5 minutes) to tailor the indicator's sensitivity.
- Specify the start and end hours and minutes for the analysis period to focus on specific trading sessions.
Customize Candle Colors:
- Choose the color for the first six candles within the analysis range.
- The remaining candles will automatically be displayed in a default gray color.
Enable Trading Session Highlight:
- Activate the background highlight for the trading session to visually separate active trading hours from inactive periods.
Monitor Touch Detection Arrows:
- Watch for green upward arrows indicating potential buy signals when the price touches the high level.
- Look for red downward arrows signaling potential sell opportunities when the price reaches the low level.
Adjust Labels and Visual Elements:
- Modify label texts and font sizes to ensure clarity and avoid clutter on the chart.
- Fine-tune line styles and colors for better visual differentiation.
Plan Your Trades:
- Use the detected high and low levels as reference points for setting entry, stop-loss, and take-profit levels.
- Combine with other technical analysis tools to confirm trade signals and enhance decision-making.
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What Makes This Indicator Original?
Dynamic High and Low Detection: Automatically identifies significant price levels within a defined time range, providing timely insights into market movements.
Midline Projection Feature: Offers an additional reference point by calculating and displaying the midpoint between high and low levels, aiding in trend analysis.
Customizable Visual Elements: Extensive customization options for colors, styles, and labels allow traders to tailor the indicator to their specific preferences and trading environments.
Touch Detection Arrows: Provides clear visual signals when the price interacts with key levels, facilitating quick decision-making for trade entries.
Trading Session Highlight: Enhances focus by visually distinguishing active trading periods, helping traders concentrate on high-probability trading times.
Trade Summary Visualization: (If applicable based on code) Offers a summary of recent trades, allowing traders to assess performance directly on the chart.
Additional Considerations
Testing and Optimization: Before deploying the indicator in live trading, test it on historical data and a demo account to fine-tune settings according to your trading strategy.
Complementary Analysis: Use the indicator alongside other technical analysis tools such as moving averages, trendlines, and oscillators to confirm trade signals.
Risk Management: Always set appropriate stop-loss and take-profit levels to manage risk effectively, regardless of the indicator's signals.
Stay Informed: Keep abreast of market news and economic events that may influence price movements and affect the indicator's performance.
Adjust for Different Assets: Customize the indicator's settings based on the asset's volatility and trading behavior to enhance accuracy and reliability.
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Example Configuration
To help you get started, here is an example configuration:
Color Style: Dark
Line Color (High and Low): Red
Line Style (High and Low): Dotted
Line Width (High and Low): 2
Midline Color (50%): Blue
Show Midline: Yes
Label Text Color: Gray
Label Font Size: Medium
Candle Color (First 6 Candles): Yellow
Default Candle Color (Remaining Candles): Semi-transparent Gray
Timeframe Minutes: 5
Analysis Start Time: 08:35
Analysis End Time: 09:05
These settings are optimized for a 5-minute XAUUSD chart during the 8:35 to 09:05 trading session, highlighting key price levels and providing clear visual signals for potential trades.
Conclusion
The New Rate - PRO indicator is tool that combines dynamic price level detection with extensive customization and real-time visual cues. By automatically identifying significant highs and lows, projecting trendlines, and signaling potential trade opportunities, it enhances your ability to navigate the markets effectively. Its adaptability through customizable settings ensures that it can be tailored to various trading styles and market conditions, making it a valuable addition to any trader's toolkit.
Institutional Footprint Reversals// This indicator combines volume delta analysis in the form of footprint with MFI to identify potential reversal points in the market.
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// Signal Generation:
// Bearish Signals:
// - Price closes below Candles Point of Control (POC)
// - Top two delta levels show positive flow (accumulation at highs)
// - MFI above 65 (overbought condition)
//
// Bullish Signals:
// - Price closes above Candles Point of Control (POC)
// - Bottom two delta levels show negative flow (accumulation at lows)
// - MFI below 35 (oversold condition)
//
// The indicator uses footprint volume analysis to track delta flow at different price levels,
// helping identify potential reversals when institutional activity shows signs of accumulation
// or distribution at key levels.
Mousanoo Momentum HistogramThe Mousanoo Momentum Histogram is a tool that visualizes higher time frame momentum by a factor of 2,3,4,5, or 6. The default is 3. This tool is best used in trend following systems. Optimally you find entry very near when the histogram bar has made a new print above or below the zero line after being on the opposite side of the zero lline. When this happens, maybe try waiting until three bars have printed for confirmation, you can be reasonably assured you have caught near the bottom or top of a new trend.
Trend Scanner for Renko BITCOIN BOT with AO IntegrationThe Trend Scanner for Renko Bitcoin Bot with AO Integration is a specialized trading indicator designed for identifying macro trend shifts in Bitcoin using Renko charts, enhanced by the Awesome Oscillator (AO) for added confirmation of momentum and trend strength.
Trend Bend"Trend Bend" Indicator - Recognizing a Change in Trend
"Trend Bend" is an indicator created for easy visualization of trends and their change through the crossover of two moving averages (Moving Averages - MAs). This indicator helps traders determine market direction and possible trend reversals using a simple yet effective method.
Basic Script Functions and Logic
Pair Moving Averages:
Fast MA with a default length of 10 and Slow MA with a length of 30.
The fast moving average follows the current price more closely, while the slow moving average smooths out the trend. Crossing between the two indicates a change in trend direction.
Lengths can be changed according to the user's preferences and trading style.
Trend Reversal Signals:
When the fast moving average crosses the slow moving average from the bottom up, an "UP" signal is displayed - indicating a possible uptrend.
When the fast moving average crosses the slow moving average from top to bottom, a "DOWN" signal is displayed - indicating a potential downtrend.
CE-2min [DailyPanda]Overview
The CE-2min strategy is a complete trading system. It is designed to work on lower timeframes and includes a filter to ensure it works on specific assets. This list will change as I conduct more tests and discover the best values and recommendations for each asset. If you want to test it on a specific asset, feel free to leave a comment.
It integrates multiple technical indicators and advanced risk management techniques to provide traders with systematic entry and exit signals. The strategy aims to capitalize on short-term market trends while minimizing risk through adjustable parameters and robust safeguards.
How the Components Work
1. Technical Indicators
Exponential Moving Averages (EMAs): Utilizes EMAs with periods of 9, 20, 50, 72, and 200 to identify short-term and long-term market trends.
Simple Moving Averages (SMAs): Incorporates SMAs with periods of 200 and 500 to detect significant support and resistance levels.
Zero-Lagged Simple Moving Average (ZLSMA): Employs ZLSMA to reduce lag in moving averages, providing more timely signals for trend direction.
2. Entry Filters
ZLSMA Filter: Trades are initiated only when the price is above the ZLSMA and the ZLSMA is trending upwards, indicating bullish momentum.
200 MA Zone Filter: Avoids trading when the price is within the zone between the EMA 200 and SMA 200 to prevent trades during uncertain market conditions.
3. Average True Range (ATR) Calculations
ATR for Stop Loss: Calculates stop-loss levels based on ATR to adapt to market volatility.
ATR-Based Partial Exits: Allows partial profit-taking when the price moves a certain ATR distance, securing gains in volatile markets.
4. Risk Management
Position Sizing: Offers options for fixed position sizes or sizes based on account equity.
Maximum Stop Loss Distance: Limits the maximum distance for stop-loss orders to control potential losses.
Maximum Daily Drawdown: Implements a cap on daily losses as a percentage of equity to preserve capital.
Daily Profit Goal: Optionally halts trading after achieving a specified profit target for the day.
5. Partial Exit Strategies
Price-Based Partial Exits: Executes partial exits after the price moves a predefined number of points in favor of the trade.
Dynamic Adjustments: Modifies partial exit strategies based on additional indicators like EMA alignment to optimize profit-taking.
6. Performance Tracking
Monthly Performance Table: Generates a table displaying monthly and yearly performance metrics for comprehensive analysis.
Trade Statistics: Provides insights into the number of trades executed, commissions paid, and the ratio of commissions to net profit.
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Originality and Value Added to the Community
The CE-2min strategy stands out by combining traditional technical analysis with advanced concepts like the Zero-Lagged Simple Moving Average. Its unique approach to entry and exit filtering minimizes lag and enhances the timing of trades. The strategy's flexibility in risk management and position sizing allows traders to tailor it to their specific needs.
By integrating detailed performance tracking and customizable parameters, it empowers traders to make data-driven decisions. The strategy adds value to the trading community by providing a robust framework that can adapt to various market conditions while prioritizing capital preservation.
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How to Use the Strategy
1. Selecting Symbols
Apply the strategy to one of the supported symbols: WIN , SPX500 --> more will be added.
2. Configuring Inputs
Trading Hours
Start Trading Hour: Set the hour to begin trading (default is 9).
Stop Trading Hour: Set the hour to stop trading (default is 14).
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| Position Size Settings |
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Position Size Method:
Fixed: Trades a constant number of contracts or shares.
Based on Capital: Adjusts the position size based on account equity.
Fixed Position Size: If using a fixed size, specify the number of units (default is 10).
Based on Capital Value: If sizing based on capital, set the divisor for equity to determine position size (e.g., Equity / 1000).
Partial Exit Settings
Enable Partial Exits: Toggle to enable or disable partial profit-taking.
Points for Partial Exit: Set the number of points the price must move to trigger a partial exit (default is 180).
ATR-Based Partial Exits: Enable to allow partial exits based on ATR distances.
ATR Distance for Partial Exit: Set the ATR multiple that triggers a partial exit (default is 200).
Risk Management
Maximum Stop Loss Distance: Specify the maximum allowable stop-loss distance in points (default is 230).
Maximum Daily Drawdown (%): Set the maximum daily loss as a percentage of equity (default is 3%).
Enable Daily Profit Goal: Optionally stop trading after reaching a profit target.
Daily Profit Goal (%): Set the profit percentage at which to halt trading for the day (default is 4%).
Moving Averages Display
Toggle the display of various EMAs and SMAs for visual analysis:
EMA 9, EMA 20, EMA 50, EMA 72, EMA 200
SMA 200, SMA 500
Entry Filters
Use ZLSMA Filter: Enable to require price above a rising ZLSMA for trade entries.
Avoid Trading Near 200 MA Zone: Enable to skip trades when price is near the 200-period MA zone.
3. Applying the Strategy
Add to Chart: Apply the strategy to your chart on the TradingView platform.
Customize Settings: Adjust input parameters according to your trading plan.
Monitor Signals: Observe entry and exit signals generated on the chart.
Review Performance: Use the built-in performance table to assess historical results.
4. Interpreting Signals
Long Entries: Occur when all entry conditions are met, signaling a potential upward move.
Partial Exits: Automatically executed based on your settings to secure partial profits.
Stop Losses: Placed according to ATR calculations and your specified maximum distance.
5. Risk Management
Position Monitoring: Keep an eye on open positions and adjust as necessary.
Adjust Parameters: Modify risk management settings to align with your risk tolerance.
Backtesting: Utilize TradingView's backtesting feature to evaluate strategy performance over historical data.
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Important Notes
Testing: Before deploying the strategy in a live trading environment, thoroughly test it using paper trading or backtesting to ensure it meets your expectations.
Customization: Feel free to adjust the parameters to better suit different market conditions or personal trading styles.
Education: Understanding how each component works will enhance your ability to make informed decisions and adapt the strategy as needed.
Auto Support Resistance Confluence Zone(Demand Supply,Liquidity)Auto Support Resistance Confluence Zone (Demand Supply, Liquidity, Sideways, Stop Loss & Hidden Levels)
This indicator is an all-in-one toolkit based on price action, Fibonacci ratios, and quantitative analysis, designed to identify Support/Resistance areas, Supply and Demand zones, Trendlines, Liquidity Zones, and Sideways Markets. It marks confluence zones at market open, providing high-accuracy insights for various markets, especially indices like NIFTY, BANKNIFTY, and commodities like Crude Oil and Natural Gas.
Key Features:
1)Complete Market Structure Coverage: Detects Reversal, Breakout, and Sideways zones, offering guidance for trading decisions across different market phases.
2)Built-In Stop Loss & Target Logic: Automates Stop Loss and Target levels based on price action, supporting systematic risk management.
3)Leading Indicator with Market Opening Levels: Provides actionable levels from the start, making it useful for scalping and intraday strategies.
4)Noise-Reduced Levels: Helps reduce chart clutter, focusing on high-probability trade areas.
5)Consistent Across Timeframes: Levels apply across timeframes (1 min, 5 min, 15 min), adaptable for various trading styles.
6)Minimizes Overtrading: Focuses on high-probability zones to limit trade frequency.
How It Works:
Support/Resistance Zones: Designed to hold price and offer areas for potential bounce and reversal trades.
Breakout Detection: Identifies both true and false breakouts to support trend-trading opportunities.
Sideways Market Detection: Helps to identify low-volatility zones, avoiding entries in choppy conditions.
This indicator is intended to support market analysis across multiple asset classes, offering clear confluence areas and setups to guide trade decision-making.
Disclaimer: Please remember that past performance may not be indicative of future results. Due to various factors, including changing market conditions, the strategy may not perform as well as in historical backtesting. My scripts/indicators/ideas/algos/systems are for learning purposes only.
The information provided does not constitute financial advice. 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. Decisions should be based solely on an evaluation of one’s financial circumstances, investment objectives, risk tolerance, and liquidity needs.
