queen of the kings//@version=5
strategy("queen of the kings", overlay=true, initial_capital=100000, commission_value=0.1, commission_type=strategy.commission.percent)
// Time window
startDate = timestamp("2016-01-01T00:00:00")
endDate = timestamp("2069-01-01T00:00:00")
timeInWindow = time >= startDate and time <= endDate
// Original EMAs and SMAs
len1 = input.int(5, title="EMA 1")
src1 = input.source(close, title="Source One")
out1 = ta.ema(src1, len1)
plot(out1, title="EMA 1", color=color.lime, transp=0, linewidth=2)
len2 = input.int(9, title="EMA 2")
src2 = input.source(close, title="Source Two")
out2 = ta.ema(src2, len2)
plot(out2, title="EMA 2", color=color.yellow, transp=0, linewidth=2)
len3 = input.int(12, title="EMA 3")
src3 = input.source(close, title="Source Three")
out3 = ta.ema(src3, len3)
plot(out3, title="EMA 3", color=color.orange, transp=0, linewidth=2)
len4 = input.int(21, title="EMA 4")
src4 = input.source(close, title="Source Four")
out4 = ta.ema(src4, len4)
plot(out4, title="EMA 4", color=color.red, transp=0, linewidth=2)
len5 = input.int(50, title="EMA 5")
src5 = input.source(close, title="Source Five")
out5 = ta.ema(src5, len5)
plot(out5, title="EMA 5", color=#F900F9, transp=0, linewidth=2)
len6 = input.int(200, title="EMA 6")
src6 = input.source(close, title="Source Six")
out6 = ta.ema(src6, len6)
plot(out6, title="EMA 6", color=#01F9F1, transp=0, linewidth=2)
len7 = input.int(100, title="SMA 1")
src7 = input.source(close, title="Source Seven")
out7 = ta.sma(src7, len7)
plot(out7, color=color.blue, transp=0, linewidth=2, title="SMA 1")
len8 = input.int(200, title="SMA 2")
src8 = input.source(close, title="Source Eight")
out8 = ta.sma(src8, len8)
plot(out8, color=color.white, transp=0, linewidth=2, title="SMA 2")
// Strategy specific EMA
strategy_ema = ta.ema(close, 2000)
// Stochastic RSI
smoothK = input.int(3, "Stoch RSI K")
smoothD = input.int(3, "Stoch RSI D")
lengthRSI = input.int(14, "RSI Length")
lengthStoch = input.int(14, "Stoch Length")
rsi1 = ta.rsi(close, lengthRSI)
stoch = ta.stoch(rsi1, rsi1, rsi1, lengthStoch)
k = ta.sma(stoch, smoothK)
d = ta.sma(k, smoothD)
// Price relative to EMA calculations
priceAboveEma = close > strategy_ema * 1.005
priceBelowEma = close < strategy_ema * 0.99
// Crossover conditions
crossAboveThreshold = ta.crossover(close, strategy_ema * 1.005)
crossBelowThreshold = ta.crossunder(close, strategy_ema * 0.99)
// Strategy conditions with StochRSI
longCondition = crossAboveThreshold and k > d and k < 80 and strategy.position_size == 0
exitLong = crossBelowThreshold and strategy.position_size > 0
// Strategy execution
if timeInWindow
if (longCondition)
strategy.entry("Long", strategy.long)
if (exitLong)
strategy.close("Long")
// Plot signals
plotshape(series=longCondition, title="Buy Signal", style=shape.triangleup, location=location.belowbar, color=color.green, size=size.small)
plotshape(series=exitLong, title="Sell Signal", style=shape.triangledown, location=location.abovebar, color=color.red, size=size.small)
// Plot the threshold lines
plot(strategy_ema * 1.005, color=color.green, style=plot.style_circles, title="Buy Threshold")
plot(strategy_ema * 0.99, color=color.red, style=plot.style_circles, title="Sell Threshold")
Rata-Rata Pergerakan Eksponensial Tripel / Triple Exponential Moving Average (TEMA)
Multi-Timeframe Buy SignalThis indicator aims to provide the safest entry in a bull market ensuring that multiple bullish criteria are met on daily, 4 hourly, 30 minute and 5 minute timeframes before triggering. Intended use, though not essential, in conjunction with Elliot Waves forcasting of price action
Datia-PM-ScalperThis script is ideal for scalpers seeking quick entry and exit opportunities. It performs effectively in sideways and indecisive markets . In a clearly trending market, it can help identify potential pullback areas, but trades should always align with the prevailing trend. Thank you!
EMA Ribbon with Dynamic Colors**EMA Ribbon with Dynamic Colors**
The "EMA Ribbon with Dynamic Colors" indicator is a technical analysis tool designed to visualize the market trend using multiple Exponential Moving Averages (EMAs) with dynamic color coding. It plots a series of EMAs with different periods, ranging from the fast-moving 5-period EMA to the slower 89-period EMA, and uses color changes to indicate trend shifts.
### Key Features:
- **Dynamic Color Coding**:
- **Green Ribbon**: Indicates a bullish trend, where the shorter-period EMAs are above the longer-period EMAs, signaling upward momentum.
- **Red Ribbon**: Indicates a bearish trend, where the shorter-period EMAs are below the longer-period EMAs, signaling downward pressure.
- **200 EMA (Yellow)**: The 200-period EMA is plotted in **yellow**, representing the long-term trend and acting as a key support/resistance level.
- **Buy and Sell Signals**:
- A **Buy Signal** is generated when the price crosses above the 89-period EMA, confirming a bullish trend reversal.
- A **Sell Signal** is generated when the price crosses below the 89-period EMA, confirming a bearish trend reversal.
- **Alerts**: Set up notifications when the buy or sell signals are triggered for timely market entries or exits.
This indicator is useful for traders who want to identify trend reversals and dynamic market conditions through the clear visualization of EMAs and their interactions, helping with decision-making in both short-term and long-term trading strategies.
EMA Ribbon
**EMA Ribbon Indicator**
The EMA Ribbon is an essential tool for traders looking to analyze trends and dynamic support/resistance levels. This indicator plots multiple Exponential Moving Averages (EMAs) with periods optimized for both short-term and long-term market analysis.
### **Features:**
- **EMA Periods**: Includes EMAs with periods 5, 8, 20, 50, 100, and 200, commonly used in technical analysis.
- **Gradient Coloring**: Each EMA is color-coded with varying opacity to create a visually intuitive ribbon that highlights market trends.
- **Trend Identification**: Easily spot bullish or bearish trends based on the alignment and slope of the EMAs.
- **Dynamic Support/Resistance**: The ribbon acts as a flexible zone for identifying price reactions and potential reversal or continuation areas.
### **How to Use:**
1. **Bullish Trend**: When the price remains above the ribbon and the EMAs are aligned sequentially (shorter periods above longer ones), it indicates upward momentum.
2. **Bearish Trend**: When the price is below the ribbon and the EMAs are aligned inversely (longer periods above shorter ones), it signals downward momentum.
3. **Consolidation**: A flat or tangled ribbon often suggests sideways price action, signaling potential breakout or breakdown areas.
4. **200 EMA Highlight**: The 200 EMA is prominently displayed to indicate long-term trend behavior and critical levels for institutional traders.
This indicator is versatile and suitable for analyzing trends in stocks, forex, crypto, and other markets. Use it across various timeframes to complement your trading strategy and gain a clearer picture of market dynamics.
Break & Retest with EMAsThis code uses the 9, 20 & 50 EMA's combined with the Break & Retest method.
Dynamic Time Zone EMA with Candle Trend AnalysisCandleTrend TZ is a powerful analytical tool that integrates time zones, exponential moving averages (EMA), and custom candle coloring based on trend direction. This indicator is ideal for traders looking to analyze market trends within specific time sessions effectively.
Key Features:
Time Zones:
Divides the chart into four distinct time intervals, each highlighted with a unique background color.
Fully customizable start and end times for each interval, allowing for adaptation to various trading schedules.
Exponential Moving Averages (EMA):
Displays three EMAs with user-defined lengths:
EMA 200 (blue) for long-term trends.
EMA 50 (green) for medium-term trends.
EMA 20 (red) for short-term trends.
Helps identify trend direction and strength.
Custom Candle Coloring:
Utilizes smoothed Heiken Ashi and Triple EMA (TEMA) calculations for enhanced candle coloring:
Green candles indicate an upward trend.
Red candles signal a downward trend.
Filters out market noise, providing a clear visual representation of market dynamics.
Customization Options:
Time Zones:
Adjustable start and end times for each of the four sessions:
Input hour and minute for start and end times (e.g., Interval 1 Start/End Hour/Minute).
Background colors are pre-defined but can be modified in the code.
EMAs:
User-defined lengths for each EMA:
EMA 200 Length (default: 200)
EMA 50 Length (default: 50)
EMA 20 Length (default: 20)
TEMA Settings:
Parameters for trend smoothing:
TEMA Length (default: 55)
EMA Length (default: 60)
Use Cases:
Intraday Session Analysis:
Use time zones to differentiate between morning, afternoon, and evening market activity.
The background colors make it easy to track session-specific trends.
Trend Trading:
Analyze EMA crossings and their slopes to confirm market direction.
Green candles indicate buying opportunities, while red candles highlight selling signals.
Noise Reduction:
TEMA smoothing removes market noise, allowing you to focus on the primary market trend.
Adaptation to Custom Strategies:
By adjusting time intervals, you can tailor the indicator to specific trading styles or market conditions.
Benefits:
Versatility for both trending and sideways markets.
Intuitive and user-friendly setup.
Suitable for traders of all skill levels, from beginners to professionals.
CandleTrend TZ is an indispensable tool for understanding market dynamics, enhancing your trading precision, and making well-informed decisions. 🚀
Gauti Market Maker Killzone EMA1. Identifying the Trend
Use Daily (1D) and Hourly (1H) Exponential Moving Averages (EMAs) to define the overall trend:
Bullish Trend: Both 1D and 1H EMAs are upward sloping, and the price is above these EMAs.
Bearish Trend: Both 1D and 1H EMAs are downward sloping, and the price is below these EMAs.
2. Confirmation with Higher Timeframes
Bullish Conditions:
Check 1D and 4H charts for price action above the EMA bands.
Look for price forming higher highs and higher lows or respecting support at the EMA bands.
Bearish Conditions:
Check 1D and 4H charts for price action below the EMA bands.
Look for price forming lower highs and lower lows or respecting resistance at the EMA bands.
Note: Crossover of EMAs on higher timeframes is an optional extra confirmation, but not mandatory for entry.
3. Entry Strategy
Use the 15-Minute (15M) timeframe for entries.
Entries are taken only during Killzones:
Killzones: London Open, New York Open, or other intraday key trading sessions. (Define the time ranges for these zones based on your trading hours.)
Wait for the price to touch or pull back to the EMA band during the Killzones in the direction of the overall trend:
In a bullish trend, enter long when the price touches the EMA band and shows signs of rejection or reversal.
In a bearish trend, enter short when the price touches the EMA band and shows signs of rejection or reversal.
4. Checklist for Entry
Confirm the following before entering:
1D Trend aligns with the 1H Trend.
Price Action in 1D and 4H supports the trend.
Killzone session is active.
Price is reacting to the EMA band on the 15M chart in the trend direction.
Exponantial Spread StrategyIt is strongly recommended to evaluate the strategy's performance on long time frames such as 1D or 4H.
This strategy calculates a custom moving average by the formula EMA+(TEMA-DEMA)*G,
G being the gain parameter. The main idea behind that is since TEMA is much more adaptive than DEMA their spread give us momentum, and incorporating this with a gain allows us to calculate a very responsive but yet not noisy moving average.
We calculate 4 MAs like described with gains 0,1,2,3 from less adaptive (normal EMA) to most adaptive. When they align in terms of position and the price is above the original MA we enter a long position, and do partial exits at each crossunder weighted by how adaptive ma is, the more adaptive the less weight, we do a full stop when the price crossed below under the original MA or the position aligment changed.
Multi-timeframe 24 moving averages + BB+SAR+Supertrend+VWAP █ OVERVIEW
The script allows to display up to 24 moving averages ("MA"'s) across 5 timeframes plus two bands (Bollinger Bands or Supertrend or Parabolic SAR or VWAP bands) each from its own timeframe.
The main difference of this script from many similar ones is the flexibility of its settings:
- Bulk enable/disable and/or change properties of several MAs at once.
- Save 3 of your frequently used templates as presets using CSV text configurations.
█ HOW TO USE
Some use examples:
In order to "show 31, 50, 200 EMAs and 20, 100, 200 SMAs for each of 1H, 4H, D, W, M timeframes using blue for short MA, yellow for mid MA and red for long MA" use the settings as shown on a screenshot below.
In order to "Show a band of chart timeframe MA's of lengths 5, 8, 13, 21, 34, 55, 100 and 200 plus some 1H, 4H, D and W MAs. Be able to quickly switch off the band of chart tf's MAs. For chart timeframe MA's only show labels for 21, 100 and 200 EMAs". You can set TF1 and TF2 to chart's TF and set you fib MAs there and configure fixed higher timeframe MAs using TF3, TF4 and TF5 (e.g. using 1H, D and W timeframes and using 1H 800 in place of 4H 200 MA). However, quicker way may be using CSV - the syntax is very simple and intuitive, see Preset 2 as it comes in the script. You can easily switch chart tf's band of MAs by toggling on/off your chart timeframe TF's (in our example, TF1 and TF2).
The settings are either obvious or explained in tooltips.
Note 1: When using group settings and CSV presets do not forget that individual setting affected will no have any effect. So, if some setting does not work, check whether it is overridden with some group setting or a CSV preset.
Note 2: Sometimes you can notice parts of MA's hanging in the air, not lasting up to the last bar. This is not a bug as explained on this screenshot:
█ FOR DEVELOPERS
The script is a use case of my CSVParser library, which in turn uses Autotable library, both of which I hope will be quite helpful. Autotable is so powerful and comprehensive that you will hardly ever wish to use normal table functions again for complex tables.
The indicator was inspired by Pablo Limonetti's url=https://www.tradingview.com/script/nFs56VUZ/]Multi Timeframe Moving Averages and Raging @RagingRocketBull's # Multi SMA EMA WMA HMA BB (5x8 MAs Bollinger Bands) MAX MTF - RRB
Multi-Timeframe EMA Distance & % Change TableDescription of Multi-Timeframe EMA Distance & % Change Table
The Multi-Timeframe EMA Distance & % Change Table indicator is designed to display the distance and percentage change between the current price and the Exponential Moving Averages (EMAs) on multiple timeframes. It creates a table to show these values, with customizable options for decimal precision .
Key Features:
Inputs:
- Timeframes (tf1, tf2, tf3, tf4): User-defined timeframes for EMA calculations (e.g., 1 minute, 15 minutes, daily, etc.).
- EMA Levels (emaLevel, emaLevel2, emaLevel3): User-defined periods for three different EMAs.
EMA Calculations:
- Computes EMAs for the specified levels (50, 100, 200) on each of the user-selected timeframes.
Plotting:
- Plots the EMAs on the chart with distinct colors: Orange, Teal, and Green for different EMAs.
Display Options:
- Checkbox (displayAsPercentage): Allows the user to toggle between displaying distances or percentage changes.
- Decimal Precision:
- decimalPlacesDistance: Specifies the number of decimal places for rounded distance values.
- decimalPlacesPercentage: Specifies the number of decimal places for rounded percentage values.
Table Creation:
- Location: Table is placed in the top-right corner of the chart.
- Headers: Includes columns for each timeframe and EMA distance/percentage.
Distance and Percentage Calculations:
- Distances: Calculated as the difference between the current price and the EMA values for each timeframe.
- Percentages: Calculated as the distance divided by the EMA value, converted to a percentage.
Decimal Rounding:
- Custom Rounding Function: Ensures that distance and percentage values are displayed with the user-specified number of decimal places.
Color Coding:
- Distance Values: Colored green if positive, red if negative.
- Table Entries: Display either the rounded distance or percentage, based on user selection.
Table Update:
- The table is dynamically updated with either distance or percentage values based on the user's choice and rounded to the specified number of decimal places.
This indicator provides a comprehensive overview of EMA distances and percentage changes across multiple timeframes, with detailed control over the precision of the displayed values.
Zero-lag TEMA Crosses Strategy[Pakun]Here's the adjusted strategy description in English, aligned with the house rules:
---
### Strategy Name: Zero-lag TEMA Cross Strategy
**Purpose:** This strategy aims to identify entry and exit points in the market using Zero-lag Triple Exponential Moving Averages (TEMA). It focuses on minimizing lag and improving the accuracy of trend-following signals.
### Uniqueness and Usefulness
**Uniqueness:** This strategy employs the less commonly used Zero-lag TEMA, compared to standard moving averages. This unique approach reduces lag and provides more timely signals.
**Usefulness:** This strategy is valuable for traders looking to capture trend reversals or continuations with reduced lag. It has the potential to enhance the profitability and accuracy of trades.
### Entry Conditions
**Long Entry:**
- **Condition:** A crossover occurs where the short-term Zero-lag TEMA surpasses the long-term Zero-lag TEMA.
- **Signal:** A buy signal is generated, indicating a potential uptrend.
**Short Entry:**
- **Condition:** A crossunder occurs where the short-term Zero-lag TEMA falls below the long-term Zero-lag TEMA.
- **Signal:** A sell signal is generated, indicating a potential downtrend.
### Exit Conditions
**Exit Strategy:**
- **Stop Loss:** Positions are closed if the price moves against the trade and hits the predefined stop loss level. The stop loss is set based on recent highs/lows.
- **Take Profit:** Positions are closed when the price reaches the profit target. The profit target is calculated as 1.5 times the distance between the entry price and the stop loss level.
### Risk Management
**Risk Management Rules:**
- This strategy incorporates a dynamic stop loss mechanism based on recent highs/lows over a specified period.
- The take profit level ensures a reward-to-risk ratio of 1.5 times the stop loss distance.
- These measures aim to manage risk and protect capital.
**Account Size:** ¥500,000
**Commissions and Slippage:** 94 pips per trade and 1 pip slippage
**Risk per Trade:** 1% of account equity
### Configurable Options
**Configurable Options:**
- Lookback Period: The number of bars to calculate recent highs/lows.
- Fast Period: Length of the short-term Zero-lag TEMA (69).
- Slow Period: Length of the long-term Zero-lag TEMA (130).
- Signal Display: Option to display buy/sell signals on the chart.
- Bar Color: Option to change bar colors based on trend direction.
### Adequate Sample Size
**Sample Size Justification:**
- To ensure the robustness and reliability of the strategy, it should be tested with a sufficiently long period of historical data.
- It is recommended to backtest across multiple market cycles to adapt to different market conditions.
- This strategy was backtested using 10 days of historical data, including 184 trades.
### Notes
**Additional Considerations:**
- This strategy is designed for educational purposes and should be thoroughly tested in a demo environment before live trading.
- Settings should be adjusted based on the asset being traded and current market conditions.
### Credits
**Acknowledgments:**
- The concept and implementation of Zero-lag TEMA are based on contributions from technical analysts and the trading community.
- Special thanks to John Doe for the TEMA concept.
- Thanks to Zero-lag TEMA Crosses .
- This strategy has been enhanced by adding new filtering algorithms and risk management rules to the original TEMA code.
### Clean Chart Description
**Chart Appearance:**
- This strategy provides a clean and informative chart by plotting Zero-lag TEMA lines and optional entry/exit signals.
- The display of signals and color bars can be toggled to declutter the chart, improving readability and analysis.
Triple EMA Trend AlertThis EMA trend indicator works by determining if a short-term EMA is above an intermediate-term EMA that is in turn above a long-term EMA (in a bullish trend) or if the reverse is true in a bearish trend. An alert box is displayed on the chart to give a trend trader a quick at-a-glance reference to see which way the overall trend is moving by turning green when the trend is overall bullish, red when overall bearish, and gray when indecisive and not clearly trending (a good time for the trend trader to consider setting back and just observing as they wait for a new trend to develop). Text is displayed in the box showing the current overall trend direction. Sometimes, using this criterion, a trend can still be considered overall bullish while the EMAs are actually bearish prior an EMA crossover that results in a trend readout change to indecisive or in the opposite direction. For this reason, the indicator will also display in parenthesis if the EMAs are trending lower or higher by comparing all live-bar EMA values to that of the previous bar’s values to determine if they are collectively trending lower or higher at that time in order to give an early warning of a potential trend reversal before the EMA crossovers change the overall bullish or bearish readout of the indicator. Both the alert box and EMA line chart overlays can be turned on and off independently, if desired.
Triple EMA + QQE Trend Following Strategy [TradeDots]The "Triple EMA + QQE Trend Following Strategy" harnesses the power of two sophisticated technical indicators, the Triple Exponential Moving Average (TEMA) and the Qualitative Quantitative Estimation (QQE), to generate precise buy and sell signals. This strategy excels in capturing shifts in trends by identifying short-term price momentum and dynamic overbought or oversold conditions.
HOW IT WORKS
This strategy integrates two pivotal indicators:
Triple Exponential Moving Average (TEMA): TEMA enhances traditional moving averages by reducing lag and smoothing the data more effectively. It achieves this by applying the EMA formula three times onto the price, as follows:
tema(src, length) =>
ema1 = ta.ema(src, length)
ema2 = ta.ema(ema1, length)
ema3 = ta.ema(ema2, length)
tema = 3*ema1 - 3*ema2 + ema3
This computation helps to sharpen the sensitivity to price movements.
Qualitative Quantitative Estimation (QQE): The QQE indicator improves upon the standard RSI by incorporating a smoothing mechanism. It starts with the standard RSI, overlays a 5-period EMA on this RSI, and then enhances the result using a double application of a 27-period EMA. A slow trailing line is then derived by multiplying the result with a factor number. This approach establishes a more refined and less jittery trend-following signal, complementing the TEMA to enhance overall market timing during fluctuating conditions.
APPLICATION
Referenced from insights on "Trading Tact," the strategy implementation follows:
First of all, we utilize two TEMA lines: one set at a 20-period and the other at a 40-period. Then following the rules below:
40-period TEMA is rising
20-period TEMA is above 40-period TEMA
Price closes above 20-period TEMA
Today is not Monday
RSI MA crosses the Slow trailing line
This strategy does not employ an active take profit mechanism; instead, it utilizes a trailing stop loss to allow the price to reach the stop loss naturally, thereby maximizing potential profit margins.
DEFAULT SETUP
Commission: 0.01%
Initial Capital: $10,000
Equity per Trade: 80%
Users are advised to adjust and personalize this trading strategy to better match their individual trading preferences and style.
RISK DISCLAIMER
Trading entails substantial risk, and most day traders incur losses. All content, tools, scripts, articles, and education provided by TradeDots serve purely informational and educational purposes. Past performances are not definitive predictors of future results.
Reference:
Trading Tact. What Is the QQE Indicator? Retrieved from: tradingtact.com
Triple EMA Distance IndicatorTriple EMA Distance Indicator
The Triple EMA Distance indicator comprises two sets of triple exponential moving averages (EMAs). One set uses the same smoothing length for all EMAs, while the other set doubles the length for the last EMA. This indicator provides visual cues based on the relationship between these EMAs and candlestick patterns.
Blue Condition:
Indicates when the fast EMA is above the slow EMA.
The distance between the two EMAs is increasing.
Candlesticks and EMAs are colored light blue.
Orange Condition:
Activates when the fast EMA is below the slow EMA.
The distance between the two EMAs is increasing.
Candlesticks and EMAs are colored orange.
Beige Condition:
Occurs when the fast EMA is below the slow EMA.
The distance between the two EMAs is decreasing.
Candlesticks and EMAs are colored beige.
Light Blue Condition:
Represents when the fast EMA is above the slow EMA.
The distance between the two EMAs is decreasing.
Candlesticks and EMAs are colored light blue.
Dynamic Trailing (Zeiierman)█ Overview
The Dynamic Trailing (Zeiierman) indicator enhances the traditional SuperTrend approach by providing a more nuanced, adaptable tool for trend analysis and market volatility assessment. It combines techniques to identify dynamic support and resistance levels, trend directions, and market volatility. By integrating the Average True Range (ATR) with a unique multiplier system and smoothing mechanisms, this indicator offers a nuanced approach to trend-following strategies, making it a valuable asset for traders looking to leverage SuperTrend methodologies with additional insights into market dynamics.
█ How It Works
At its core, this indicator builds on the traditional SuperTrend formula by utilizing a modified ATR calculation to define the deviation for dynamic support and resistance levels. These levels are dynamically adjusted based on market volatility. The innovation lies in the addition of the Hull Moving Average (HMA) and the Triple Exponential Moving Average (TEMA) for an enhanced smoothing effect, making the indicator's trend signals more reliable and less prone to market noise. The trend direction is determined by comparing the closing price with the dynamic levels, facilitating clear bullish or bearish signals.
The indicator incorporates a 'Supertrend' function, which uses the dynamic levels and the price’s position relative to them to determine the trend direction. This determination is visualized through color-coded lines and a cloud zone, which expands or contracts based on the ATR and a user-defined width setting, illustrating the market's volatility and trend strength.
ATR Calculation: Utilizes the Average True Range (ATR) to measure market volatility. The ATR is a cornerstone of this indicator, helping to dynamically adjust the support and resistance levels according to the market’s changing conditions.
Supertrend Calculation: Implements a supertrend formula that combines the ATR with user-defined multipliers to plot potential trend directions. This feature helps in identifying whether the market is in an uptrend or downtrend, offering visual cues for potential reversals.
TEMA Calculation: Employs the Triple Exponential Moving Average (TEMA) through a Hull Moving Average (HMA) calculation to smooth out price data. This smoothing process helps in reducing market noise and makes the trend direction clearer.
Dynamic Support and Resistance: Calculates dynamic support and resistance levels by applying a deviation (derived from the ATR and user-defined multiplier) to the smoothed price data. These levels adapt to market conditions, providing areas where price might experience support or resistance.
Trend and Cloud Calculation: Determines the overall trend direction and plots a 'Cloud' zone around it, which adjusts in width based on the ATR and a user-defined cloud width setting. This cloud acts as a visual buffer, indicating the strength and stability of the current trend.
█ How to Use
Trend Identification: The primary function of this indicator is to help traders quickly identify the prevailing market trend. A change in the color of the dynamic trailing line or its position relative to the price can signal potential trend reversals.
Dynamic Support and Resistance: Unlike static levels, the dynamic levels adjust with market conditions, providing current areas where the price might experience support or resistance.
Dynamic Support
Dynamic Resistance
█ Settings
Mult (Multiplier): Adjusts the multiplier for the ATR calculation, affecting the deviation distance for support and resistance levels. Higher values decrease sensitivity and vice versa.
Len (Length): Sets the period for the HMA in the TEMA calculation, influencing the indicator's responsiveness to price changes.
Smoothness: Determines the smoothness of the dynamic support and resistance lines by setting the SMA length. Higher values result in smoother lines.
Cloud Width : Modifies the width of the cloud, providing a visual representation of market volatility.
Color Settings (upcol and dncol): Allows users to customize the colors of the indicator's lines and cloud, aiding in visual trend identification.
-----------------
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!
EMA Scalp Alerts by Sabir KhanThis TradingView indicator, developed by Sabir Khan, is designed for scalping strategies based on Exponential Moving Averages (EMAs). The indicator visually represents three EMAs with customizable parameters and provides alerts for potential trading signals.
Key Features:
Fast EMA: User-configurable fast EMA with default period set to 21.
Slow EMA: User-configurable slow EMA with default period set to 55.
Third EMA: User-configurable third EMA with default period set to 200.
Line Width: Adjustable line width for the fast and third EMAs, allowing customization for better visibility.
Color Customization: Choose colors for each EMA to suit your chart preferences.
Alerts: Automatic alerts for potential trading signals:
Long Signal: Triggered when the fast EMA crosses above the slow EMA.
Short Signal: Triggered when the fast EMA crosses below the slow EMA.
All EMAs Crossover: Triggered when all three EMAs cross over, indicating a potentially strong trend.
Usage:
Users can observe the visual representation of the three EMAs on the chart.
Alerts are generated for potential long, short, or strong trend signals based on EMA crossovers.
The indicator's parameters, including EMA periods, line widths, and colors, are customizable to fit individual preferences.
Alert Message Format:
The alert message provides essential information about the detected signal, including the signal type (Long, Short, None), the involved symbol, timeframe, open, close, high, low, and whether a strong crossover is detected.
Note: This indicator is particularly suitable for traders employing scalp trading strategies focusing on short-term market movements.
*Disclaimer: Trading involves risk, and users should conduct their own research and analysis before making any trading decisions based on this indicator.*
Ceres Trader MTF Triple EMA with SmoothingDescription:
The "Ceres Trader MTF EMA with Smoothing" indicator is a versatile tool designed for traders who rely on Exponential Moving Averages (EMAs) for their technical analysis. This indicator uniquely blends the concept of EMAs with customizable smoothing techniques, enhancing the clarity and interpretability of moving average lines on your charts.
Features:
Triple EMA Visualization: Visualize three distinct EMAs on your chart, each customizable in terms of length, timeframe, and color. This triple-layer approach allows for a comprehensive view of price trends across different time periods.
User-defined EMA Lengths: Set the lengths of all three EMAs according to your trading strategy. The default length is set at 20 bars, but this can be easily adjusted to suit different trading styles and timeframes.
Flexible Timeframes: Each EMA can be plotted based on different timeframes, providing a multi-timeframe analysis within a single chart view.
Smoothing Techniques: Choose from five different smoothing methods (SMA, EMA, SMMA, WMA, VWMA) to refine the EMA lines. This feature reduces market “noise” and helps in identifying the true underlying trends.
Enhanced Smoothing for Longer Timeframes: The indicator applies an advanced double smoothing technique to the EMA of the longest timeframe, offering an even smoother line that is beneficial for long-term trend analysis.
Customizable Aesthetics: Personalize the appearance of each EMA line with a selection of colors, enhancing visual differentiation and readability.
Benefits:
Versatility: Suitable for various trading styles, including swing trading, day trading, and long-term trend following.
Clarity in Trend Analysis: The smoothing techniques help in filtering out market noise, making it easier to identify meaningful trends.
Multi-Timeframe Analysis: The ability to view EMAs from different timeframes simultaneously offers a comprehensive analysis, saving time and enhancing decision-making.
Ideal for: Traders looking for a customizable and insightful way to use EMAs in their market analysis. Whether you are a beginner or an experienced trader, this indicator's flexibility and depth can add significant value to your technical analysis toolkit.
Triple Moving Averages + RSI Divergence + Trade Creator [CSJ7]This indicator uses triple moving averages to identify the prevailing trend, and calculates the linear regression of the closing price, and of the RSI, to either confirm the current trend direction, or to identify a potential trade reversal. Additionally, it includes a trade management tool that allows you to rate your trade setup according to your selected entry minimums and preferences, plus you obtain an estimated P&L with profitability metrics of your trade.
The key features are:
Dashboard : Includes entry/exit amounts, prices, quantities, estimated Profit & Loss, ROI, ROE, RRR, insights into market trends, entry conditions, and operational logs.
Trade Setup : Allows you to design your trade in detail. Select entry/exit levels, and let the tool suggest optimal target levels based on your ROI and RRR preferences. Specify your desired stop-loss type, and the tool will present the corresponding price.
Entry Conditions Management : Customize your trade entry prerequisites within the settings. The system evaluates these, offering a Trade Rating and displaying current values and entry statuses in the Entry Conditions table.
Trade Box : Visualize your trade strategy with a trade box that shows in alongside your chart, highlighting potential profit/loss zones and entry price points.
RSI & Close Price Linear Regressions : Calculates the linear regression of RSI and the close prices, since the beginning of the current trend, and presents them directly in the chart and alongside the active trend, to allow you to spot a potential trend continuation or reversal.
Adaptive price levels : The tool calculates the viability, trade rating and P&L based on contextual levels, like moving averages and highest or lowest prices, instead of using fixed prices; this allows for the results to adapt dynamically to market fluctuations, eliminating the need for manual recalibrations and adjustments.
Automatic Trade Side Detection : While manual input is available, the tool can intuitively determine the optimal trade side based on current data.
Market Outlook Events : By using the crossings of the three averages, the tool keeps track of the evolution of the current trend, providing points of interest like when the initial momentum is observed, when the trend initiates, when a potential entry zone starts, when a buy or sell opportunity arises and when the trend ends.
Alerts : You can set up two distinct alerts – one notifies on trend milestones and another for trade initiation conditions. Note: Manual activation is required in the Tradingview dashboard.
Logs : The tool provides a log section where you can find relevant information regarding the operation and any encountered errors via the dashboard's log section.
Usage
Choose your desired ticker and timeframe. If a tradable trend is detected and levels are set correctly, the trade box appears. Incorrect levels will trigger a warning in the error logs.
The tool will suggest the logical trade side, but manual adjustments are possible.
Customize ROI, maximum loss, and RRR in the settings. When in 'Auto', the tool will calculate the target price accordingly.
Adjust leverage to align with your risk and reward parameters.
View linear regressions for trend analysis and spotting RSI divergences.
Manage position sizing and risk in the settings, accounting for broker/exchange fees.
Activate alerts for trade notifications.
Enable 'Show Trade Levels' in settings to get the details of the necessary limit orders for the trade.
In the image below, you can view the expanded Trade Creator Dashboard, the Trade Box, and the Linear Regression Lines:
The linear regression lines are colored red when trending downward and green when trending upward.
The labels displaying information related to the entry and exit prices can be hidden, as demonstrated in the image above.
3kilos BTC 15mThe "3kilos BTC 15m" is a comprehensive trading strategy designed to work on a 15-minute timeframe for Bitcoin (BTC) or other cryptocurrencies. This strategy combines multiple indicators, including Triple Exponential Moving Averages (TEMA), Average True Range (ATR), and Heikin-Ashi candlesticks, to generate buy and sell signals. It also incorporates risk management features like take profit and stop loss.
Indicators
Triple Exponential Moving Averages (TEMA): Three TEMA lines are used with different lengths and sources:
Short TEMA (Red) based on highs
Long TEMA 1 (Blue) based on lows
Long TEMA 2 (Green) based on closing prices
Average True Range (ATR): Custom ATR calculation with EMA smoothing is used for volatility measurement.
Supertrend: Calculated using ATR and a multiplier to determine the trend direction.
Simple Moving Average (SMA): Applied to the short TEMA to smooth out its values.
Heikin-Ashi Close: Used for additional trend confirmation.
Entry & Exit Conditions
Long Entry: Triggered when the short TEMA is above both long TEMA lines, the Supertrend is bullish, the short TEMA is above its SMA, and the Heikin-Ashi close is higher than the previous close.
Short Entry: Triggered when the short TEMA is below both long TEMA lines, the Supertrend is bearish, the short TEMA is below its SMA, and the Heikin-Ashi close is lower than the previous close.
Take Profit and Stop Loss: Both are calculated as a percentage of the entry price, and they are set for both long and short positions.
Risk Management
Take Profit: Set at 1% above the entry price for long positions and 1% below for short positions.
Stop Loss: Set at 3% below the entry price for long positions and 3% above for short positions.
Commission and Pyramiding
Commission: A 0.07% commission is accounted for in the strategy.
Pyramiding: The strategy does not allow pyramiding.
Note
This strategy is designed for educational purposes and should not be considered as financial advice. Always do your own research and consider consulting a financial advisor before engaging in trading.
Dee EMA 5.0
1. Indicator Features:
- The indicator can plot four different sets of EMA on a chart.
- The EMA values can be displayed on the chart with their respective names (e.g., ema9, ema20, etc.).
- The indicator allows customization of the EMA values.
2. Purpose of Dee_EMA 5.0:
- Dee_EMA 5.0 is a unique EMA indicator specially designed for traders to provide better insights and aid in trading decisions.
- The primary reason for building this indicator is to address the challenge of managing multiple time frames while using normal EMA tables.
- Traditional EMA tables might not show all EMA values across different time frames simultaneously, leading to time-consuming processes like shifting time frames and refreshing charts.
- Dee_EMA 5.0 solves this issue by displaying EMA values for different time frames in one table, allowing traders to make quick judgments without repeatedly changing time frames and refreshing charts.
3. Importance of Different Time Frame EMA Values:
- Different time frames EMA values are crucial in trading because they provide valuable insights into the market dynamics at various levels.
- When using shorter time frames (e.g., 1-minute), EMA values can help identify short-term trends, support, and resistance levels.
- On the other hand, using larger time frames (e.g., 5-minute or 15-minute) provides more data and increases the accuracy of EMA-based analysis, enabling traders to identify longer-term trends and potential price movements.
4. EMA Crossover Table:
- Traders often prefer a clutter-free chart without too many lines, but they still need access to EMA values for analysis.
- The EMA table and EMA crossover table serve this purpose by providing EMA values and EMA crossover information in a structured table format.
- With the EMA crossover table, traders can quickly check EMA values and crossovers across different time frames without having to switch time frames repeatedly, saving time and facilitating faster decision-making during trading.
In summary, Dee_EMA 5.0 is an EMA indicator designed to help traders efficiently analyze EMA values across different time frames, allowing for faster and more informed trading decisions. The EMA crossover table provides additional convenience by presenting EMA crossovers without cluttering the chart.
Fibonacci Trend Zone The "Fibonacci Trend Zone" indicator is a supplementary tool that helps identify the current trend based on Fibonacci zones. It utilizes Fibonacci levels (0.62, 0.705, and 0.79) to define long-term trend zones. The green zone indicates potential long trades, while the red zone suggests potential short trades. The indicator also includes the Triple Exponential Moving Average (TEMA), which helps confirm trend reversals. When the TEMA crosses the Fibonacci level of 0.5, it may signal a possible trend reversal. Use this indicator in conjunction with your primary trading strategy to make more informed trading decisions. Additionally, the indicator provides flexibility in customizing the styles, allowing you to change the color scheme or disable the display of certain elements to suit your preferences and requirements.
Индикатор "Fibonacci Trend Zone" является вспомогательным инструментом, который помогает определить текущий тренд на основе зон фибоначчи. Он использует уровни фибоначчи (0,62, 0,705 и 0,79) для определения зон долгосрочного тренда. Зеленая зона указывает на возможность лонг-сделок, а красная зона - на возможность шорт-сделок. Индикатор также включает Triple Exponential Moving Average (TEMA), который помогает подтвердить смену тренда. Когда TEMA пересекает уровень фибоначчи 0,5, это может сигнализировать о возможной смене тренда. Используйте данный индикатор в сочетании с вашей основной торговой стратегией для принятия более информированных решений. Индикатор также предоставляет гибкость в настройке стилей, позволяя вам изменить цветовую схему или отключить отображение некоторых элементов, чтобы соответствовать вашим предпочтениям и требованиям.
EMA with Buy/Sell Signals by lbkindCertainly! Here's a description of the code:
This Pine Script code is designed to plot Exponential Moving Averages (EMAs) on a chart and generate buy/sell signals based on specific conditions. The code includes a filter to reduce false signals by considering the trend of the EMA 200.
The key components of the code are as follows:
1. Input Variables: The code starts by defining input variables such as the periods for the EMAs (ema200Period, ema50Period, ema13Period), the Average True Range period (atrPeriod), and the chopiness threshold (chopinessThreshold).
2. Calculating EMAs: The EMAs (ema200, ema50, ema13) are calculated using the `ema()` function based on the closing price.
3. Average True Range (ATR): The ATR is calculated using the `atr()` function with the specified period (atrPeriod).
4. Normalized ATR: The normalized ATR is computed by dividing the ATR by the closing price and multiplying by 100. This allows for better comparison across different price levels.
5. EMA 200 Trend Direction: The code determines the trend direction of the EMA 200 by comparing the current value with the previous value. The variables `ema200TrendUp` and `ema200TrendDown` are assigned `true` or `false` values based on the trend direction.
6. Generate Buy/Sell Signals: The buySignal is generated when the following conditions are met:
- There is a crossover of the shorter EMAs (ema13, ema50).
- The EMA 200 is in an uptrend (`ema200TrendUp` is true).
- The current close is above the EMA 200.
- The normalized ATR is below the specified chopiness threshold.
The sellSignal is generated when the opposite conditions are met.
7. Plotting: The EMAs (ema200, ema50, ema13) are plotted on the chart using the `plot()` function. The buy and sell signals are plotted as labels using the `plotshape()` function. The buySignal is displayed below the candle (`location=location.belowbar`), and the sellSignal is displayed above the candle (`location=location.abovebar`).
By incorporating these features, the code provides a visual representation of the EMAs, along with buy and sell signals that consider the EMA 200 trend, crossover of shorter EMAs, and the normalized ATR condition. This helps in identifying potential entry and exit points in the market while attempting to reduce false signals.