Support Resistance & Ema
The "Support Resistance & Ema" indicator combines various strategies to assist traders in identifying significant support and resistance levels on the chart and in following trends through exponential moving averages (EMA). This script is designed to be versatile and useful in different trading strategies.
Key Features:
Support and Resistance: It utilizes pivot highs and lows to pinpoint support and resistance levels. These levels are plotted on the chart with lines that change color based on trend reversals.
Trend Identification: The indicator follows trends using four conditions:
_hh: Higher highs and higher lows, indicating an uptrend.
_ll: Lower highs and lower lows, indicating a downtrend.
_hl: Higher highs and lower lows, indicating weakening uptrend or an impending reversal.
_lh: Lower highs and higher lows, indicating weakening downtrend or an impending reversal.
Exponential Moving Averages (EMA): It also displays various EMAs (9, 21, 50, 100, 200) on the chart to provide further insights into the trend direction.
Usage:
Support and Resistance: Support and resistance lines are automatically plotted on the chart. Trend reversals are highlighted by changing the color of the lines.
Trend Identification: The _hh, _ll, _hl, _lh conditions help identify trend changes. When one of these conditions is met, it indicates a particular configuration of highs and lows that might suggest a trading opportunity.
Exponential Moving Averages (EMA): The EMAs are plotted on the chart and can be used to confirm trends identified by the main indicator.
To use this script, you need to add it as an indicator to your trading chart. Once applied, the support, resistance lines, and EMAs will be visible on the chart, providing traders with valuable information to make informed trading decisions.
In summary, this script offers a comprehensive way to identify significant support and resistance levels, spot market trends, and confirm those trends through the use of exponential moving averages.
Moyennes mobiles
Moving average strategyNAME : Moving average strategy
SUMMARY
Long when Short MA period > Long MA period
Exit when Short MA period < Long MA period
Long only strategy, but you can modify this script.
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This strategy uses a moving average line.
It buys when the short-term moving average crosses the long-term moving average and sells when the long-term moving average crosses the short-term moving average.
You can use different moving average lines by setting the MA type.
You can use SMA, EMA, DEMA, TEMA, WMA, and VWMA.
You can also adjust the period of the moving average line.
Price Type sets the type of price that will be used for the moving average line. The options are Close price, Open price, High price, Low price, Typical price, and center price.
High MDD and long periods of sideways movement make it difficult to use in practice, even though the returns may seem high.
Hopefully, you can combine it with other indicators to create a good strategy.
Thank you.
MTF Bullish & Bearish Crosses of Moving Averages with AlertsIn the Table from the right center are displayed moving averages values from 4 different timeframes choosed by the user input and the moving averages crosses bullish or bearish, default timeframes values are 15 min, 60 min, 4h and Daily, users can change the values from 1 second to the values they want.
The indicator display current timeframes moving averages, default lengths are 50 ema and 200 ema and Golden and Death crosses, this can be hidden from style if the users do not want to display them.
The script comes with 7 types of moving averages that can users can chose: ALMA, DEMA, EMA, HMA, SMA, VWMA and WMA and also users are able to change the legth of the moving averages from dashboard to fit their trading style.
Users are able to set alerts for the moving averages crosses for all 4 custom timeframes, 8 alerts, one for bullish and one for bearish crosses at each timeframe.
F.B_Double Hull Moving Average Trend TrackerThe F.B_Double Hull Moving Average Trend Tracker indicator is designed to identify market trends and is based on two Hull Moving Averages.
The "Hull Moving Average" (HMA) is a fast and smooth moving average that exhibits a rather unique behavior. The HMA attempts to completely remove lag while simultaneously presenting smoother results.
The first derivative is calculated for each HMA 1 and HMA 2.
If HMA 1 derivative > 0 and HMA 2 derivative > 0, then color the HMA lines and bar color green.
If HMA 1 derivative < 0 and HMA 2 derivative < 0, then color the HMA lines and bar color red.
If the slope of the derivative is different between HMA 1 and HMA 2, then color the HMA lines and bar color gray.
Meaning of colors:
Green ⇒ Uptrend
Gray ⇒ Price consolidation, trend weakness, or correction
Red ⇒ Downtrend
Best used in conjunction with additional indicators.
Uptrick: MultiMA_VolumePurpose:
The "Uptrick: MultiMA_Volume" indicator, identified by its abbreviated title 'MMAV,' is meticulously designed to provide traders with a comprehensive view of market dynamics by incorporating multiple moving averages (MAs) and volume analysis. With adjustable inputs and customizable visibility options, traders can tailor the indicator to their specific trading preferences and strategies, thereby enhancing its utility and usability.
Explanation:
Input Variables and Customization:
Traders have the flexibility to adjust various parameters, including the lengths of different moving averages (SMA, EMA, WMA, HMA, and KAMA), as well as the option to show or hide each moving average and volume-related components.
Customization options empower traders to fine-tune the indicator according to their trading styles and market preferences, enhancing its adaptability across different market conditions.
Moving Averages and Trend Identification:
The script computes multiple types of moving averages, including Simple (SMA), Exponential (EMA), Weighted (WMA), Hull (HMA), and Kaufman's Adaptive (KAMA), allowing traders to assess trend directionality and strength from various perspectives.
Traders can determine potential price movements by observing the relationship between the current price and the plotted moving averages. For example, prices above the moving averages may suggest bullish sentiment, while prices below could indicate bearish sentiment.
Volume Analysis:
Volume analysis is integrated into the indicator, enabling traders to evaluate volume dynamics alongside trend analysis.
Traders can identify significant volume spikes using a customizable threshold, with bars exceeding the threshold highlighted to signify potential shifts in market activity and liquidity.
Determining Potential Price Movements:
By analyzing the relationship between price and the plotted moving averages, traders can infer potential price movements.
Bullish biases may be suggested when prices are above the moving averages, accompanied by rising volume, while bearish biases may be indicated when prices are below the moving averages, with declining volume reinforcing the potential for downward price movements.
Utility and Potential Usage:
The "Uptrick: MultiMA_Volume" indicator serves as a comprehensive tool for traders, offering insights into trend directionality, strength, and volume dynamics.
Traders can utilize the indicator to identify potential trading opportunities, confirm trend signals, and manage risk effectively.
By consolidating multiple indicators into a single chart, the indicator streamlines the analytical process, providing traders with a concise overview of market conditions and facilitating informed decision-making.
Through its customizable features and comprehensive analysis, the "Uptrick: MultiMA_Volume" indicator equips traders with actionable insights into market trends and volume dynamics. By integrating trend analysis and volume assessment into their trading strategies, traders can navigate the markets with confidence and precision, thereby enhancing their trading outcomes.
Johnny's Adjusted BB Buy/Sell Signal"Johnny's Adjusted BB Buy/Sell Signal" leverages Bollinger Bands and moving averages to provide dynamic buy and sell signals based on market conditions. This indicator is particularly useful for traders looking to identify strategic entry and exit points based on volatility and trend analysis.
How It Works
Bollinger Bands Setup: The indicator calculates Bollinger Bands using a specified length and multiplier. These bands serve to identify potential overbought (upper band) or oversold (lower band) conditions.
Moving Averages: Two moving averages are calculated — a trend moving average (trendMA) and a long-term moving average (longTermMA) — to gauge the market's direction over different time frames.
Market Phase Determination: The script classifies the market into bullish or bearish phases based on the relationship of the closing price to the long-term moving average.
Strong Buy and Sell Signals: Enhanced signals are generated based on how significantly the price deviates from the Bollinger Bands, coupled with the average candle size over a specified lookback period. The signals are adjusted based on whether the market is bullish or bearish:
In bullish markets, a strong buy signal is triggered if the price significantly drops below the lower Bollinger Band. Conversely, a strong sell signal is activated when the price rises well above the upper band.
In bearish markets, these signals are modified to be more conservative, adjusting the thresholds for triggering strong buy and sell signals.
Features:
Flexibility: Users can adjust the length of the Bollinger Bands and moving averages, as well as the multipliers and factors that determine the strength of buy and sell signals, making it highly customizable to different trading styles and market conditions.
Visual Aids: The script vividly plots the Bollinger Bands and moving averages, and signals are visually represented on the chart, allowing traders to quickly assess trading opportunities:
Regular buy and sell signals are indicated by simple shapes below or above price bars.
Strong buy and sell signals are highlighted with distinctive colors and placed prominently to catch the trader's attention.
Background Coloring: The background color changes based on the market phase, providing an immediate visual cue of the market's overall sentiment.
Usage:
This indicator is ideal for traders who rely on technical analysis to guide their trading decisions. By integrating both Bollinger Bands and moving averages, it provides a multi-faceted view of market trends and volatility, making it suitable for identifying potential reversals and continuation patterns. Traders can use this tool to enhance their understanding of market dynamics and refine their trading strategies accordingly.
Moving Average Crossover MonitorMoving Average Crossover Monitor: Gain Insight into Market Trends
The Moving Average Crossover Monitor is a specialized tool crafted for traders seeking to understand and predict market trends more effectively. This indicator's primary focus lies in analyzing consecutive candle movements above or below specified moving averages and providing predictive estimates based on historical data.
Key Features:
1. Consecutive Candle Tracking: The indicator meticulously counts and tracks the number of consecutive candles that close above or below a selected moving average (MA1). This tracking offers a tangible measure of trend persistence over time.
2. Historical Analysis for Future Prediction: By analyzing past trends, the indicator provides insights into potential future movements. It estimates the likelihood of upcoming candles continuing above or below the moving average based on historical patterns.
3. Dynamic Visualization: Moving averages (SMA, WMA, EMA) are dynamically plotted on the chart, clearly displaying crossover points and trend transitions.
How It Works:
1. Moving Average Calculation: Select your preferred moving average type (SMA, WMA, EMA) and define short and long periods. The indicator computes two moving averages (MA1 and MA2) based on these parameters.
2. Consecutive Candle Analysis:
- Above MA1: Tracks and counts consecutive candles closing above MA1, indicating potential bullish momentum.
- Below MA1: Tracks and counts consecutive candles closing below MA1, suggesting potential bearish sentiment.
3. Future Trend Prediction: Based on historical data of consecutive candle movements, the indicator estimates the likelihood of the next candle continuing in the same direction (above or below MA1).
Advantages for Traders:
1. Quantitative Insights: Use numerical data on consecutive candles to gauge trend strength and durability.
2. Predictive Analytics: Leverage historical patterns to anticipate future market movements and adjust trading strategies accordingly.
3. Decision Support Tool: Gain clarity on trend transitions, empowering timely and informed trading decisions.
Disclaimer:
This indicator is provided for educational purposes only and should not be considered as financial advice. Trading involves risks, and past performance is not indicative of future results. Traders should conduct their own analysis and exercise caution when making trading decisions based on any indicator or tool. Always consider risk management strategies and consult with a qualified financial advisor if needed.
Uptrick: TrendVol IndicatorPurpose:
The "Uptrick: TrendVol Indicator," known by its abbreviated title 'U:TVI,' is meticulously crafted to offer traders insights into both trend strength and volume dynamics within the market. By visualizing trend strength relative to a moving average, analyzing volume activity, and assessing potential price movements, traders can make informed decisions and navigate the markets more effectively.
Explanation:
Moving Averages and Trend Direction:
The script computes a moving average (MA) over a specified period, allowing traders to gauge the prevailing trend direction.
Trend strength is assessed by measuring the distance between the closing price and the moving average, providing a quantitative representation of market momentum.
By comparing the current price relative to the moving average, traders can determine potential price directionality, with prices above the MA suggesting bullish sentiment and prices below indicating bearish sentiment.
Volatility Analysis:
Volatility is measured using the Average True Range (ATR) indicator over a user-defined period, aiding traders in assessing the potential range of price movements.
By plotting the ATR value alongside trend strength, traders gain valuable insights into both trend stability and potential breakout opportunities.
Additional Moving Averages and Multiple Time Frame Analysis:
The script incorporates another moving average (MA2) over a different period, enabling traders to conduct multiple time frame analysis and validate trend signals across different time frames.
The inclusion of MA2 enhances the robustness of trend identification and facilitates a more comprehensive understanding of market trends.
Volume Analysis:
Volume analysis is conducted by computing a moving average of volume over a specified period, allowing traders to discern patterns of increasing or decreasing volume activity.
Bars with volume exceeding a predefined threshold are highlighted, providing traders with insights into significant volume spikes that may accompany price movements.
Determining Potential Price Movements:
Traders can utilize the "Uptrick: TrendVol Indicator" to assess the likelihood of potential price movements.
A bullish bias may be inferred when the current price is above both the moving average and the volume-weighted average price (VWAP), accompanied by rising volume.
Conversely, a bearish bias may be indicated when the price is below both the moving average and the VWAP, with declining volume reinforcing the potential for downward price movements.
Utility and Potential Usage:
The indicator serves as a powerful tool for traders, offering a holistic view of market dynamics encompassing trend strength, volume activity, and potential price movements.
Traders can leverage the insights provided by the indicator to identify trading opportunities, manage risk effectively, and capitalize on emerging market trends with confidence.
Through its comprehensive design and advanced features, the "Uptrick: TrendVol Indicator" equips traders with actionable insights into market dynamics, enabling them to make well-informed trading decisions and navigate the markets with precision.
Enhanced Forex IndicatorDescription of the "Enhanced Forex Indicator"
The "Enhanced Forex Indicator" is designed for traders who want a comprehensive technical analysis tool on the TradingView platform. This script integrates Exponential Moving Averages (EMAs), support and resistance zones, and candlestick pattern recognition to provide actionable trading signals, particularly useful for Forex and other financial markets. The script is suitable for intraday trading and swing trading.
Components of the Indicator
Exponential Moving Averages (EMAs):
Short EMA (Blue Line): Faster responding average, good for identifying recent trend changes.
Long EMA (Red Line): Slower moving average, helps in confirming longer-term trends.
Support and Resistance Zones:
Resistance Zone (Red): Area where potential selling pressure could overcome buying pressure, halting price increases temporarily or reversing them.
Support Zone (Green): Area where potential buying pressure could overcome selling pressure, supporting prices and preventing them from falling further.
Candlestick Patterns:
Bullish Engulfing Pattern (Green Triangle Up 'BE'): Suggests a potential upward reversal or start of a bullish trend.
Bearish Engulfing Pattern (Red Triangle Down 'BE'): Indicates a potential downward reversal or start of a bearish trend.
Buy/Sell Signals:
Buy Signal (Green Label 'BUY'): Triggered when the price is above both EMAs and a bullish engulfing pattern is detected.
Sell Signal (Red Label 'SELL'): Triggered when the price is below both EMAs and a bearish engulfing pattern is detected.
Trading Setup:
Entry: Consider entering a buy position when the 'BUY' signal appears, indicating bullish conditions. Enter a sell position when the 'SELL' signal appears, indicating bearish conditions.
Exit: Look for closing signals opposite your entry or use predefined take profit and stop loss levels. For instance, exit a buy position on a 'SELL' signal or when the price drops below the support zone.
Risk Management:
Set stop losses just below the support zone for buy orders and above the resistance zone for sell orders to protect against significant losses.
Adjust position sizes according to your risk tolerance and account balance.
Considerations:
Use this indicator in conjunction with other analysis tools and fundamental data to confirm signals and strengthen your trading strategy.
Periodically backtest the strategy based on this indicator to ensure its effectiveness in current market conditions.
Optimization:
Adjust the lengths of the EMAs and the buffer size of the support and resistance zones to better fit the asset's volatility and your trading timeframe.
Alligator + MA Trend Catcher [TradeDots]The "Alligator + MA Trend Catcher" is a trading strategy that integrates the William Alligator indicator with a Moving Average (MA) to establish robust entry and exit conditions, optimized for capturing trends.
HOW IT WORKS
This strategy combines the traditional William Alligator set up with an additional Moving Average indicator for enhanced trend confirmation, creating a user-friendly backtesting tool for traders who prefer the Alligator method.
The original Alligator strategy can frequently present fluctuations, even in well-established trends, leading to potentially premature exits. To mitigate this, we incorporate a Moving Average as a secondary confirmation measure to ensure the market trend has indeed shifted.
Here’s the operational flow for long orders:
Entry Signal: When the price rises above the Moving Average, it confirms a bullish market state. Enter if Alligator spread in an upward direction. The trade remains active even if the Alligator indicator suggests a trend reversal.
Exit Signal: The position is closed when the price falls below the Moving Average, and the Alligator spreads in the downward direction. This setup helps traders to maintain positions through the entirety of the trend for maximum gain.
APPLICATION
This strategy is tailored for assets with significant, well-defined trends, such as Bitcoin and Ethereum, which are known for their high volatility and substantial price movements.
This strategy offers a low win-rate but high reward configuration, making asset selection critical for long-term profitability. If you choose assets that lack strong price momentum, there's a high chance that this strategy may not be effective.
For traders seeking to maximize gains from large trends without exiting prematurely, this strategy provides an aggressive yet controlled approach to riding out substantial market waves.
DEFAULT SETUP
Commission: 0.01%
Initial Capital: $10,000
Equity per Trade: 80%
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.
Multi Timeframe Trend Screener [TradeDots]The "Multi Timeframe Trend Screener" is a trading indicator designed to assist traders in identifying the market trends of multiple assets within a single panel. This tool is invaluable for detecting shifts in trends, enabling traders to easily adjust their strategies under different market conditions.
HOW DOES IT WORK
Upon initialization, the indicator requires users to input two key pieces of information:
The assets to be monitored.
The timeframes to be analyzed.
The tool is capable of simultaneously tracking up to four assets across five distinct timeframes.
By specifying the type and length of the moving average, the indicator uses this data as a baseline to determine the current market trend.
A price movement below the moving average triggers a downward trend symbol (📉), indicating bearish conditions.
Conversely, a movement above the moving average displays an upward trend symbol (📈), signaling bullish conditions.
The aggregation of moving averages across various timeframes provides a comprehensive view of the overall market sentiment.
APPLICATION
In scenarios where the market consistently demonstrates an upward trend, each timeframe will display a bullish symbol. Shifts in market sentiment typically start in the shorter timeframes and can progressively affect longer ones if the trend continues.
This cascading effect allows the indicator to show all timeframes transitioning to a bearish orientation when the trend reverses.
The indicator also facilitates comparison between different assets. For assets with high correlation, a trend shift in one can often predict similar movements in correlated assets, thus allowing traders to swiftly adapt their strategies to align with new market conditions.
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.
RSI divergence(mom check)The core of this indicator is obviously RSI divergence. But there are some tips I would like to explain and suggest.
First of all, although the basic principle of this indicator is simple: simply comparing the price and RSI value within a given time period. To be more specific, if the price now is lowest among last 300 candlesticks but its RSI value is not, then the candlesticks will be marked. However, sometimes it is not accurate. Here are some examples:
This is bitcoin 2h chart from COINBASE. It is true that we can capture most of corrections and make a fortune during a bull market. However, the market is not always consist of bull market:
This is also bitcoin 2h chart from COINBASE. We can imagine how much money we would lose if we buy every time solely according to the RSI divergence signals during a bear market. So, how to solve this question? As a bullish indicator, it's normal to have distortions in a bear market, but I still hope to improve its win rate and make it more reliable even though when people are trading during a bear market. So we need to add some filtering conditions to screen out all the divergence signals.
The first indicator came in my mind is: Momentum. Here is the momentum code with its zero axis:
//@version=5
indicator(title="Momentum", shorttitle="Mom", timeframe="", timeframe_gaps=true)
//input variables
len = input.int(30, minval=1, title="Length")
src = input(close, title="Source")
//calculate momentum
mom = src - src
//draw momentum chart
plot(mom, color=#2962FF, title="MOM")
//draw 0 axis
hline(0, "Zero Line", color=color.white)
One thing we should notice is that ’30’ is the time period of the momentum, you can change this to everything you want according to which assets you are trading. For example, in a long-run bullish stock market or gold market, you can set ’60’. But when it comes to futures or crypto, maybe 30 is a better choice.
Now, I use momentum as a condition to distinguish a bearish trend: if the all momentum value of past 100 candlesticks of my RSI divergence signals are minus, which means these divergence signals are in a bearish trend, in this case, I market them as purple signal2. Attached are some examples of BTC, ETH and SOL charts. We can see if we trade according to green signal1s. We gonna have to cut our losses multiple times, and for leveraged traders, it could even mean facing liquidation. However, signal2 has helped filter most of signal1s. So in most conditions, I believe the appearance of signal2 represents the end of bearish trends.
So far, we have created an overall frame. And I have set ‘alertcondition’ functions so that we can use this indicator to set alerts.
Here are some tips I would like to suggest based on my personal experiences:
1. Set stop losses and follow them strictly;
2. Adjust the time period according to different assets. For instance, 4h chart is good for bitcoin and most altcoin. But when it comes to stock market, 12h or 1d may be a better choice. You need to find the best suitable time period by yourself;
3. In a bear market, please be especially cautious with the green Signal 1; they are great for following uptrends but are not suitable for bottom-fishing. I recommend waiting for the purple Signal 2 to appear before placing trust again in the green Signal 1.
4. To be continued….
🇨🇭Advanced Fusion MetricsIndicator Overview
The "Advanced Fusion Metrics Indicator" is a comprehensive trading tool designed for TradingView that combines several technical analysis methods to assist traders in identifying potential buy and sell opportunities in financial markets.
Key Components
Moving Averages (MA): Uses two Simple Moving Averages (SMA) with periods defined by the user (default 10 and 20). The indicator generates buy signals when the shorter MA (MA 10) crosses above the longer MA (MA 20) and sell signals when it crosses below, helping to pinpoint trend reversals.
Relative Strength Index (RSI): A momentum oscillator that helps identify overbought or oversold conditions, adding a layer of confirmation to the signals generated by the moving averages.
Exponential Moving Average (EMA 50): Used to gauge the medium-term trend direction. The color of the EMA line changes based on whether the trend is up (green) or down (red), providing a visual representation of the market trend.
Average True Range (ATR): This component measures market volatility. Signals are only generated when the ATR confirms significant market movement relative to the EMA50, enhancing the reliability of the signals during volatile conditions.
How It Works
Signal Generation: The core of the indicator is based on the crossover of two SMAs. A buy signal is issued when the short-term MA crosses above the long-term MA during sufficient market volatility (confirmed by ATR). Conversely, a sell signal is triggered when the short-term MA crosses below the long-term MA under similar conditions.
Trend Confirmation: The EMA50 helps confirm the broader market trend, while the ATR ensures that the crossover signals occur during periods of meaningful price movement, filtering out noise and less significant price movements.
Use Case
For Traders: The indicator is ideal for traders who need clear, actionable signals combined with an assessment of market conditions. It’s particularly useful in markets where understanding volatility and momentum is crucial, such as in cryptocurrencies and forex.
Benefits
Comprehensive Analysis: Combines trend, momentum, and volatility analysis in one tool, providing a multifaceted approach to the markets.
Enhanced Decision-Making: By integrating multiple indicators, it reduces the likelihood of false signals and enhances decision-making confidence.
Customizable and Dynamic: Allows for easy adjustment of parameters to fit different trading styles and market conditions.
This indicator equips traders with a powerful blend of tools to analyze price movements and make informed trading decisions based on a combination of trend, momentum, and volatility insights.
Multi Timeframe RSI Buy Sell Strategy [TradeDots]The "Multi Timeframe RSI Buy/Sell Strategy" is a trading strategy that utilizes Relative Strength Index (RSI) indicators from multiple timeframes to provide buy and sell signals.
This strategy allows for extensive customization, supporting up to three distinct RSIs, each configurable with its own timeframe, length, and data source.
HOW DOES IT WORK
This strategy integrates up to three RSIs, each selectable from different timeframes and customizable in terms of length and source. Users have the flexibility to define the number of active RSIs. These selections visualize as plotted lines on the chart, enhancing interpretability.
Users can also manage the moving average of the selected RSI lines. When multiple RSIs are active, the moving average is calculated based on these active lines' average value.
The color intensity of the moving average line changes as it approaches predefined buying or selling thresholds, alerting users to potential signal generation.
A buy or sell signal is generated when all active RSI lines simultaneously cross their respective threshold lines. Concurrently, a label will appear on the chart to signify the order placement.
For those preferring not to display order information or activate the strategy, an "Enable backtest" option is provided in the settings for toggling activation.
APPLICATION
The strategy leverages multiple RSIs to detect extreme market conditions across various timeframes without the need for manual timeframe switching.
This feature is invaluable for identifying divergences across timeframes, such as detecting potential short-term reversals within broader trends, thereby aiding traders in making better trading decisions and potentially avoiding losses.
DEFAULT SETUP
Commission: 0.01%
Initial Capital: $10,000
Equity per Trade: 60%
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.
TradeDots Stochastic Z-Score
Uptrick: EMA SMA Support Resistance HistogramPurpose:
The "Uptrick: EMA SMA Support Resistance Histogram" indicator, known by its short title 'UESH,' is meticulously crafted to offer traders a comprehensive view of potential support and resistance levels, leveraging the crossovers between the Exponential Moving Average (EMA) and Simple Moving Average (SMA). Its distinctive feature lies in the visualization of these crossovers through histogram bars, providing traders with an intuitive representation of market momentum and possible reversal points.
Explanation:
Input Parameters:
Traders benefit from the flexibility to tailor the length of both the SMA and EMA according to their trading strategies and market preferences.
The 'Source' parameter allows users to select the data series upon which the calculations are based, typically the closing price.
Additionally, the option to toggle the visibility of the histogram enhances the indicator's adaptability to different analytical approaches.
Moving Averages:
The script diligently computes both the SMA and EMA based on the specified lengths and the chosen data source.
The SMA (Simple Moving Average) acts as a smoothing mechanism, averaging price data over a defined period to discern underlying trends.
On the other hand, the EMA (Exponential Moving Average) places greater weight on recent price data, making it more responsive to short-term price fluctuations.
Cross Detection:
A hallmark of this indicator is its adeptness in identifying crossover and crossunder events between the EMA and SMA, signaling potential shifts in market sentiment.
A green color is assigned to the EMA when it crosses above the SMA (crossover), indicating bullish momentum.
Conversely, a red color is applied when the EMA crosses below the SMA (crossunder), signaling bearish momentum.
In the absence of a crossover, both lines are colored blue, denoting a neutral state.
Support and Resistance Visualization through Histogram Bars:
A notable feature of this indicator is its ability to delineate potential support and resistance levels through histogram bars.
The script calculates the disparity between the source data and the SMA, effectively capturing deviations from the prevailing trend.
Positive deviations (source above SMA) are represented by green histogram bars, highlighting potential support zones.
Conversely, negative deviations (source below SMA) manifest as red histogram bars, indicating potential resistance areas.
The length of the histogram bars is customizable, allowing traders to fine-tune the sensitivity to price movements based on their preferences and trading strategies.
In summary through it's dynamic features and meticulous design, this indicator empowers traders with actionable insights into market dynamics, facilitating informed trading decisions with regards to potential support and resistance levels. The inclusion of histogram bars enhances its analytical prowess, providing a visual representation of price deviations and reinforcing traders' ability to interpret market sentiment effectively.
MFI- Momentum Fusion IndicatorIndicator Overview
The "MFI - Momentum Fusion Indicator" is a comprehensive trading tool designed for TradingView that combines several technical analysis methods to assist traders in identifying potential buy and sell opportunities in financial markets.
Key Components
Moving Averages (MA): Uses two Simple Moving Averages (SMA) with periods defined by the user (default 10 and 20). The indicator generates buy signals when the shorter MA (MA 10) crosses above the longer MA (MA 20) and sell signals when it crosses below, helping to pinpoint trend reversals.
Relative Strength Index (RSI): A momentum oscillator that helps identify overbought or oversold conditions, adding a layer of confirmation to the signals generated by the moving averages.
Exponential Moving Average (EMA 50): Used to gauge the medium-term trend direction. The color of the EMA line changes based on whether the trend is up (green) or down (red), providing a visual representation of the market trend.
Average True Range (ATR): This component measures market volatility. Signals are only generated when the ATR confirms significant market movement relative to the EMA50, enhancing the reliability of the signals during volatile conditions.
How It Works
Signal Generation: The core of the indicator is based on the crossover of two SMAs. A buy signal is issued when the short-term MA crosses above the long-term MA during sufficient market volatility (confirmed by ATR). Conversely, a sell signal is triggered when the short-term MA crosses below the long-term MA under similar conditions.
Trend Confirmation: The EMA50 helps confirm the broader market trend, while the ATR ensures that the crossover signals occur during periods of meaningful price movement, filtering out noise and less significant price movements.
Use Case
For Traders: The indicator is ideal for traders who need clear, actionable signals combined with an assessment of market conditions. It’s particularly useful in markets where understanding volatility and momentum is crucial, such as in cryptocurrencies and forex.
Benefits
Comprehensive Analysis: Combines trend, momentum, and volatility analysis in one tool, providing a multifaceted approach to the markets.
Enhanced Decision-Making: By integrating multiple indicators, it reduces the likelihood of false signals and enhances decision-making confidence.
Customizable and Dynamic: Allows for easy adjustment of parameters to fit different trading styles and market conditions.
This indicator equips traders with a powerful blend of tools to analyze price movements and make informed trading decisions based on a combination of trend, momentum, and volatility insights.
Trend Fusion: ADX&EMA+IchimokuTrend Fusion: ADX & EMA+Ichimoku is an innovative indicator designed to provide traders with comprehensive insights into market trends. Combining the power of the Average Directional Index (ADX) with Exponential Moving Averages (EMA) and the Ichimoku Cloud, this indicator offers a sophisticated approach to trend analysis.
This indicator stands out for its unique integration of multiple trend-following indicators, offering traders a holistic view of market dynamics. Unlike traditional trend indicators that focus solely on price movements, Trend Fusion incorporates the ADX, EMA, and Ichimoku Cloud to provide a more nuanced understanding of trend strength and direction. By combining these indicators, traders can make more informed decisions and enhance their trading strategies.
How it works:
Trend Fusion generates buy and sell signals based on the convergence of these indicators. A combination of strong ADX readings, EMA crossovers, and alignment with the Ichimoku Cloud confirms trend direction and provides entry and exit points for traders.
Average Directional Index (ADX): Measures the strength of the prevailing trend by analyzing price movements. A rising ADX indicates a strengthening trend, while a falling ADX suggests weakening momentum.
Exponential Moving Averages (EMA): Detects potential trend reversals through crossover signals. A bullish crossover (fast EMA crossing above slow EMA) suggests an uptrend, while a bearish crossover indicates a downtrend.
Ichimoku Cloud: Provides support and resistance levels along with trend direction. Price movements above the cloud indicate bullish sentiment, while movements below the cloud suggest bearish sentiment.
How to use
Colour codes:
Green Candles: Represent a strong uptrend, indicating robust buying momentum. The intensity of green color deepens with increasing trend strength.
Red Candles: Indicate a strong downtrend, signaling significant selling pressure in the market. The intensity of red color deepens with increasing trend strength.
Yellow Candles: Suggest a weak trend, characterized by indecision and lack of clear direction. The intensity of yellow color varies based on the strength of the trend, with lighter shades indicating weaker trends and darker shades suggesting slightly stronger trends.
Trend Strength: Monitor the ADX to gauge the strength of the prevailing trend. Higher ADX values indicate stronger trends, while lower values suggest weaker trends.
Trend Direction: Confirm trend direction using EMA crossovers and Ichimoku Cloud signals. Look for bullish crossovers and price movements above the cloud for uptrends, and bearish crossovers and movements below the cloud for downtrends.
Entry and Exit Signals: Enter trades when all components align, signaling a strong trend. Use EMA crossovers and cloud confirmations to identify potential entry points, and consider exiting trades when these signals reverse.
The ADX calculation and signal logic are based on the ADX script by PineCoders, with modifications to integrate it into this indicator.
The EMA crossover logic is adapted from the GDAX EMA Cross script by stefano98.
The Ichimoku Cloud calculation and plotting are adapted from the Ichimoku Cloud script by lonesometheblue.
Trading involves risk, and past performance is not indicative of future results. It is recommended to use this indicator alongside other technical analysis tools and risk management strategies.
Trend Crawler with Dynamic TP and Trailing Stop### Description of "Trend Crawler with Dynamic TP and Trailing Stop"
#### Overview
The "Trend Crawler with Dynamic TP and Trailing Stop" is a comprehensive trading strategy designed for medium-frequency trading on various timeframes and markets. It utilizes a combination of trend identification and volatility analysis to determine optimal entry and exit points, aiming to maximize profitability by adapting to changing market conditions.
#### Strategy Mechanics
1. **Moving Averages**: Users can select between Simple Moving Average (SMA) and Exponential Moving Average (EMA) to define the trend. The strategy uses two moving averages (fast and slow) to identify the trend direction. A crossover of the fast MA above the slow MA signals a potential bullish trend, while a crossunder signals a bearish trend.
2. **Volume Analysis**: The strategy incorporates volume analysis to confirm the strength of the trend. It calculates a standard deviation of volume from its moving average to detect significant increases in trading activity, which supports the trend direction indicated by the MAs.
3. **Price Spread and RSI**: It uses the price spread (difference between the close and open of each bar) and the Relative Strength Index (RSI) to filter entries based on market momentum and overbought/oversold conditions. This helps in refining the entries to avoid weak or overly extended moves.
4. **Dynamic Take Profit and Trailing Stop**:
- **Trailing Stop**: As the position moves into profit, the strategy adjusts the stop loss dynamically to protect gains, using a trailing stop mechanism.
- **Dynamic Take Profit**: The take profit levels are adjusted based on the volatility (measured by the standard deviation of the price spread) to capture maximum profit from significant moves.
#### Usage
To use the strategy:
- Set the desired moving average type and lengths according to the asset and timeframe being traded.
- Adjust the RSI thresholds to match the market's volatility and trading style.
- Set the base take profit and stop loss levels along with the trailing stop distance based on risk tolerance and trading objectives.
#### Justification for Originality
While the use of moving averages, RSI, and volume analysis may be common, the integration of these elements with dynamic adjustments for take profit and trailing stops based on real-time volatility analysis offers a unique approach. The strategy adapts not just to trend direction but also to the market's momentum and volatility, providing a tailored trading solution that goes beyond standard indicator-based strategies.
#### Strategy Results and Settings
Backtesting should be conducted with realistic account sizes and include considerations for commission and slippage to ensure that the results are not misleading. Risk per trade should be kept within a sustainable range (ideally less than 5% of account equity), and the strategy should be tested over a sufficient sample size (at least 100 trades) to validate its effectiveness.
#### Chart Presentation
The script’s output includes:
- Colored backgrounds to indicate bullish or bearish market conditions.
- Plots of trailing stops to visually manage risk.
- Entry points are marked with shapes on the chart, providing clear visual cues for trading decisions.
#### Conclusion
This strategy offers traders a robust framework for trend following with enhanced risk management through dynamic adjustments based on real-time market analysis. It's designed to be versatile and adaptable to a wide range of markets and trading styles, providing traders with a tool that not only follows trends but also adapts to market changes to secure profits and reduce losses.
Uptrick: RSI MA Buying/Selling signalsIndicator Purpose:
This indicator, titled "Uptrick: RSI MA Buying/Selling signals" or "UpRSIMA," aims to provide buying and selling signals based on the Moving Average (MA) of the Relative Strength Index (RSI).
It plots the RSI MA line and highlights whether the RSI MA value is above or below 50, indicating potential bullish or bearish signals, respectively.
RSI Calculation:
The script calculates the RSI using a user-defined length parameter (default is 14) and a specified source (typically the closing price).
It then computes the MA of the RSI using the Recursive Moving Average (RMA) function applied to the RSI values.
Color Representation:
The color of the RSI MA line is determined based on whether it's above or below the neutral level of 50.
If the RSI MA is above 50, indicating potential bullish signals, the color is set to green; otherwise, it's set to red for potential bearish signals.
Plotting:
The RSI MA line is plotted on the chart with the specified color based on its value relative to 50.
Additionally, a horizontal line is drawn at y = 50 to visually represent the neutral level.
Histogram bars are also added to visually represent the difference between the RSI MA and the neutral level, with green bars indicating bullish signals and red bars indicating bearish signals.
User Interface:
The indicator is designed to be used as an overlay on price charts, allowing traders to easily visualize potential buying and selling signals based on RSI MA crossovers and levels relative to 50.
Overall, the "Uptrick: RSI MA Buying/Selling signals" indicator offers traders insights into potential trend reversals or continuations based on the moving average of the Relative Strength Index, aiding them in making informed trading decisions.
Kalman Volume Filter [ChartPrime]The "Kalman Volume Filter" , aims to provide insights into market volume dynamics by filtering out noise and identifying potential overbought or oversold conditions. Let's break down its components and functionality:
Settings:
Users can adjust various parameters to customize the indicator according to their preferences:
Volume Length: Defines the length of the volume period used in calculations.
Stabilization Coefficient (k): Determines the level of noise reduction in the signals.
Signal Line Length: Sets the length of the signal line used for identifying trends.
Overbought & Oversold Zone Level: Specifies the threshold levels for identifying overbought and oversold conditions.
Source: Allows users to select the price source for volume calculations.
Volume Zone Oscillator (VZO):
Calculates a volume-based oscillator indicating the direction and intensity of volume movements.
Utilizes a volume direction measurement over a specified period to compute the oscillator value.
Normalizes the oscillator value to improve comparability across different securities or timeframes.
// VOLUME ZONE OSCILLATOR
VZO(get_src, length) =>
Volume_Direction = get_src > get_src ? volume : -volume
VZO_volume = ta.hma(Volume_Direction, length)
Total_volume = ta.hma(volume, length)
VZO = VZO_volume / (Total_volume)
VZO := (VZO - 0) / ta.stdev(VZO, 200)
VZO
Kalman Filter:
Applies a Kalman filter to smooth out the VZO values and reduce noise.
Utilizes a stabilization coefficient (k) to control the degree of smoothing.
Generates a filtered output representing the underlying volume trend.
// KALMAN FILTER
series float M_n = 0.0 // - the resulting value of the current calculation
series float A_n = VZO // - the initial value of the current measurement
series float M_n_1 = nz(M_n ) // - the resulting value of the previous calculation
float k = input.float(0.06) // - stabilization coefficient
// Kalman Filter Formula
kalm(k)=>
k * A_n + (1 - k) * M_n_1
Volume Visualization:
Displays the volume histogram, with color intensity indicating the strength of volume movements.
Adjusts bar colors based on volume bursts to highlight significant changes in volume.
Overbought and Oversold Zones:
Marks overbought and oversold levels on the chart to assist in identifying potential reversal points.
Plotting:
Plots the Kalman Volume Filter line and a signal line for visual analysis.
Utilizes different colors and fills to distinguish between rising and falling trends.
Highlights specific events such as local buy or sell signals, as well as overbought or oversold conditions.
This indicator provides traders with a comprehensive view of volume dynamics, trend direction, and potential market turning points, aiding in informed decision-making during trading activities.
Uptrick: Trend Analysis 1 Trend Identification:
• The indicator primarily aims to identify trends in the market. It does this by computing two EMAs (fast and slow) and deriving the MACD line, which is the difference between these two EMAs. The MACD line is a momentum indicator that shows the relationship between two moving averages. When the MACD line is above the signal line, it suggests bullish momentum, while below indicates bearish momentum.
2 Entry and Exit Signals:
• The indicator generates potential entry and exit signals based on several conditions:
• Price vs. 20-period EMA: It checks whether the price is above or below the 20-period Exponential Moving Average. This is a common technique used to determine the overall direction of the trend. If the price is above the 20-period EMA, it suggests a bullish trend, and if it's below, it indicates a bearish trend.
• MACD Slope: It calculates the slope of the MACD line over a specified number of bars. A positive slope suggests increasing bullish momentum, while a negative slope indicates increasing bearish momentum.
• Signal Line Crossings: Traders often look for crossovers between the MACD line and the signal line as potential buy or sell signals. When the MACD line crosses above the signal line, it's considered a bullish signal (buy), and when it crosses below, it's seen as a bearish signal (sell).
3 Visual Representation:
• The indicator provides a visual representation of these conditions by plotting the MACD line with different colors depending on the market conditions (bullish, bearish, or neutral). Additionally, it draws vertical lines at the start of negative MACD slopes to highlight potential shifts in momentum.
4 Volume Analysis:
• It incorporates volume analysis by coloring the volume histogram differently based on whether the price is above or below the 20-period EMA. This can provide additional confirmation of trend strength. Higher volumes during price movements above the EMA may confirm bullish trends, while higher volumes during price movements below the EMA may confirm bearish trends.
5 Customization:
• Traders can customize the input parameters such as the fast and slow EMA periods according to their trading strategies and the specific market they're analyzing.
VWAP DivergenceThe "VWAP Divergence" indicator leverages the VWAP Rolling indicator available in TradingView's library to analyze price and volume dynamics. This custom indicator calculates a rolling VWAP (Volume Weighted Average Price) and compares it with a Simple Moving Average (SMA) over a specified historical period.
Advantages:
1. Accurate VWAP Calculation: The VWAP Rolling indicator computes a VWAP that dynamically adjusts based on recent price and volume data. VWAP is a vital metric used by traders to understand the average price at which a security has traded, factoring in volume.
2. SMA Comparison: By contrasting the rolling VWAP from the VWAP Rolling indicator with an SMA of the same length, the indicator highlights potential divergences. This comparison can reveal shifts in market sentiment.
3. Divergence Identification: The primary purpose of this indicator is to detect divergences between the rolling VWAP from VWAP Rolling and the SMA. Divergence occurs when the rolling VWAP significantly differs from the SMA, indicating potential changes in market dynamics.
Interpretation:
1. Positive Oscillator Values: A positive oscillator (difference between rolling VWAP and SMA) suggests that the rolling VWAP, derived from the VWAP Rolling indicator, is above the SMA. This could indicate strong buying interest or accumulation.
2. Negative Oscillator Values: Conversely, a negative oscillator value indicates that the rolling VWAP is below the SMA. This might signal selling pressure or distribution.
3. Divergence Signals: Significant divergences between the rolling VWAP (from VWAP Rolling) and SMA can indicate shifts in market sentiment. For instance, a rising rolling VWAP diverging upwards from the SMA might suggest increasing bullish sentiment.
4. Confirmation with Price Movements: Traders often use these divergences alongside price action to confirm potential trend reversals or continuations.
Implementation:
1. Length Parameter: Adjust the Length input to modify the lookback period for computing both the rolling VWAP from VWAP Rolling and the SMA. A longer period provides a broader view of market sentiment, while a shorter period is more sensitive to recent price movements.
2. Visualization: The indicator plots the VWAP SMA Oscillator, which visually represents the difference (oscillator) between the rolling VWAP (from VWAP Rolling) and SMA over time.
3. Zero Line: The zero line (gray line) serves as a reference point. Oscillator values crossing above or below this line can be interpreted as bullish or bearish signals, respectively.
4. Contextual Analysis: Interpret signals from this indicator in conjunction with broader market conditions and other technical indicators to make informed trading decisions.
This indicator, utilizing the VWAP Rolling component, is valuable for traders seeking insights into the relationship between volume-weighted price levels and traditional moving averages, aiding in the identification of potential trading opportunities based on market dynamics.
Price Based Z-Trend - Strategy [presentTrading]█ Introduction and How it is Different
Z-score: a statistical measurement of a score's relationship to the mean in a group of scores.
Simple but effective approach.
The "Price Based Z-Trend - Strategy " leverages the Z-score, a statistical measure that gauges the deviation of a price from its moving average, normalized against its standard deviation. This strategy stands out due to its simplicity and effectiveness, particularly in markets where price movements often revert to a mean. Unlike more complex systems that might rely on a multitude of indicators, the Z-Trend strategy focuses on clear, statistically significant price movements, making it ideal for traders who prefer a streamlined, data-driven approach.
BTCUSD 6h LS Performance
█ Strategy, How It Works: Detailed Explanation
🔶 Calculation of the Z-score
"Z-score is a statistical measurement that describes a value's relationship to the mean of a group of values. Z-score is measured in terms of standard deviations from the mean. If a Z-score is 0, it indicates that the data point's score is identical to the mean score. A Z-score of 1.0 would indicate a value that is one standard deviation from the mean. Z-scores may be positive or negative, with a positive value indicating the score is above the mean and a negative score indicating it is below the mean."
The Z-score is central to this strategy. It is calculated by taking the difference between the current price and the Exponential Moving Average (EMA) of the price over a user-defined length, then dividing this by the standard deviation of the price over the same length:
z = (x - μ) /σ
Local
🔶 Trading Signals
Trading signals are generated based on the Z-score crossing predefined thresholds:
- Long Entry: When the Z-score crosses above the positive threshold.
- Long Exit: When the Z-score falls below the negative threshold.
- Short Entry: When the Z-score falls below the negative threshold.
- Short Exit: When the Z-score rises above the positive threshold.
█ Trade Direction
The strategy allows users to select their preferred trading direction through an input option.
█ Usage
To use this strategy effectively, traders should first configure the Z-score thresholds according to their risk tolerance and market volatility. It's also crucial to adjust the length for the EMA and standard deviation calculations based on historical performance and the expected "noise" in price data.
The strategy is designed to be flexible, allowing traders to refine settings to better capture profitable opportunities in specific market conditions.
█ Default Settings
- Trade Direction: Both
- Standard Deviation Length: 100
- Average Length: 100
- Threshold for Z-score: 1.0
- Bar Color Indicator: Enabled
These settings offer a balanced starting point but can be customized to suit various trading styles and market environments. The strategy's parameters are designed to be adjusted as traders gain experience and refine their approach based on ongoing market analysis.
Z-score is a must-learn approach for every algorithmic trader.
