Advanced Bitcoin Trend Following StrategyTitle: Bitcoin Multi-Factor Trend Following Strategy
Description:
The Bitcoin Multi-Factor Trend Following Strategy is designed for traders seeking a robust, multi-factor approach to trend following in Bitcoin markets. This script combines technical indicators and statistical methods to identify trend directions, optimize entry and exit points, and manage position sizing based on volatility and leverage constraints. Key features of the strategy include:
Multi-Indicator Trend Forecasting:
This strategy employs three trend forecasting methods: range, exponential moving average (EMA), and Bollinger Bands. Each method can be independently enabled or disabled, giving traders flexibility in how trends are identified and followed.
Range Forecast : Calculates forecast based on the range (high and low) of recent prices, with optional smoothing via a Kalman filter to reduce noise.
EMA Spread Forecast : Utilizes the spread between fast and slow EMAs to gauge the trend’s strength, adjusted for volatility.
Bollinger Band Forecast : Measures the proximity of price to Bollinger Band levels to assess trend intensity.
Kalman Filter for Smoothing:
The Kalman filter is applied to price data for smoother trend estimation, particularly within the range forecast. This allows the strategy to reduce noise and focus on more reliable price signals.
Volatility-Adjusted Position Sizing:
The strategy incorporates volatility targeting to dynamically adjust position sizes based on current market conditions. Traders can set an annualized volatility target to control the risk level, with position size scaled accordingly to maintain consistent risk exposure. A maximum leverage cap ensures that position sizes do not exceed a user-defined threshold, offering an additional layer of risk control.
Dynamic Entry and Exit Points:
Entry and exit points are based on customizable thresholds that determine trend strength and are sensitive to market volatility. The script monitors changes in forecast values and automatically adjusts trades to capitalize on emerging trends or exit weakening ones. The strategy includes an option to close all open positions when trend forecasts fall below defined thresholds, ensuring an automated approach to risk management.
Backtesting and Performance Metrics:
To support strategy optimization, the script includes a backtest mode that calculates key performance metrics such as Sharpe Ratio, Buy & Hold profit, Strategy profit, Win rate, and other metrics. These metrics are displayed in a summary table directly on the chart, providing real-time insight into the strategy’s historical performance compared to a buy-and-hold approach.
Configurable Time and Date Range:
Users can specify start and end dates for the backtest period, allowing for focused backtesting over any desired timeframe. This feature enables in-depth analysis of performance across varying market conditions.
Use Case:
This strategy is best suited for experienced traders who wish to apply a structured trend-following approach in Bitcoin or other high-volatility assets. It is highly customizable, making it adaptable to various market conditions and trading styles. The combination of trend forecasting methods, volatility targeting, and automatic leverage control offers a balanced approach to capturing long-term trends while managing risk.
Parameters:
Entry Threshold: Adjusts the sensitivity of the entry point for trends. Lower values make the strategy more reactive.
Annual Volatility Target: Controls the risk level by targeting a specific annualized volatility percentage.
Max Leverage: Caps the allowable leverage for each trade.
Forecast Activations: Toggles to enable or disable the use of range, EMA, and Bollinger forecasts.
Date Range: Allows users to define the start and end dates for testing the strategy.
Notes:
This strategy is designed for educational purposes and requires thorough backtesting and optimization before live trading. Real-time performance may vary, and additional risk management practices are advised.
License:
This script is subject to the terms of the Mozilla Public License 2.0.
Rata-Rata Pergerakan / Moving Averages
TrigWave Suite [InvestorUnknown]The TrigWave Suite combines Sine-weighted, Cosine-weighted, and Hyperbolic Tangent moving averages (HTMA) with a Directional Movement System (DMS) and a Relative Strength System (RSS).
Hyperbolic Tangent Moving Average (HTMA)
The HTMA smooths the price by applying a hyperbolic tangent transformation to the difference between the price and a simple moving average. It also adjusts this value by multiplying it by a standard deviation to create a more stable signal.
// Function to calculate Hyperbolic Tangent
tanh(x) =>
e_x = math.exp(x)
e_neg_x = math.exp(-x)
(e_x - e_neg_x) / (e_x + e_neg_x)
// Function to calculate Hyperbolic Tangent Moving Average
htma(src, len, mul) =>
tanh_src = tanh((src - ta.sma(src, len)) * mul) * ta.stdev(src, len) + ta.sma(src, len)
htma = ta.sma(tanh_src, len)
Sine-Weighted Moving Average (SWMA)
The SWMA applies sine-based weights to historical prices. This gives more weight to the central data points, making it responsive yet less prone to noise.
// Function to calculate the Sine-Weighted Moving Average
f_Sine_Weighted_MA(series float src, simple int length) =>
var float sine_weights = array.new_float(0)
array.clear(sine_weights) // Clear the array before recalculating weights
for i = 0 to length - 1
weight = math.sin((math.pi * (i + 1)) / length)
array.push(sine_weights, weight)
// Normalize the weights
sum_weights = array.sum(sine_weights)
for i = 0 to length - 1
norm_weight = array.get(sine_weights, i) / sum_weights
array.set(sine_weights, i, norm_weight)
// Calculate Sine-Weighted Moving Average
swma = 0.0
if bar_index >= length
for i = 0 to length - 1
swma := swma + array.get(sine_weights, i) * src
swma
Cosine-Weighted Moving Average (CWMA)
The CWMA uses cosine-based weights for data points, which produces a more stable trend-following behavior, especially in low-volatility markets.
f_Cosine_Weighted_MA(series float src, simple int length) =>
var float cosine_weights = array.new_float(0)
array.clear(cosine_weights) // Clear the array before recalculating weights
for i = 0 to length - 1
weight = math.cos((math.pi * (i + 1)) / length) + 1 // Shift by adding 1
array.push(cosine_weights, weight)
// Normalize the weights
sum_weights = array.sum(cosine_weights)
for i = 0 to length - 1
norm_weight = array.get(cosine_weights, i) / sum_weights
array.set(cosine_weights, i, norm_weight)
// Calculate Cosine-Weighted Moving Average
cwma = 0.0
if bar_index >= length
for i = 0 to length - 1
cwma := cwma + array.get(cosine_weights, i) * src
cwma
Directional Movement System (DMS)
DMS is used to identify trend direction and strength based on directional movement. It uses ADX to gauge trend strength and combines +DI and -DI for directional bias.
// Function to calculate Directional Movement System
f_DMS(simple int dmi_len, simple int adx_len) =>
up = ta.change(high)
down = -ta.change(low)
plusDM = na(up) ? na : (up > down and up > 0 ? up : 0)
minusDM = na(down) ? na : (down > up and down > 0 ? down : 0)
trur = ta.rma(ta.tr, dmi_len)
plus = fixnan(100 * ta.rma(plusDM, dmi_len) / trur)
minus = fixnan(100 * ta.rma(minusDM, dmi_len) / trur)
sum = plus + minus
adx = 100 * ta.rma(math.abs(plus - minus) / (sum == 0 ? 1 : sum), adx_len)
dms_up = plus > minus and adx > minus
dms_down = plus < minus and adx > plus
dms_neutral = not (dms_up or dms_down)
signal = dms_up ? 1 : dms_down ? -1 : 0
Relative Strength System (RSS)
RSS employs RSI and an adjustable moving average type (SMA, EMA, or HMA) to evaluate whether the market is in a bullish or bearish state.
// Function to calculate Relative Strength System
f_RSS(rsi_src, rsi_len, ma_type, ma_len) =>
rsi = ta.rsi(rsi_src, rsi_len)
ma = switch ma_type
"SMA" => ta.sma(rsi, ma_len)
"EMA" => ta.ema(rsi, ma_len)
"HMA" => ta.hma(rsi, ma_len)
signal = (rsi > ma and rsi > 50) ? 1 : (rsi < ma and rsi < 50) ? -1 : 0
ATR Adjustments
To minimize false signals, the HTMA, SWMA, and CWMA signals are adjusted with an Average True Range (ATR) filter:
// Calculate ATR adjusted components for HTMA, CWMA and SWMA
float atr = ta.atr(atr_len)
float htma_up = htma + (atr * atr_mult)
float htma_dn = htma - (atr * atr_mult)
float swma_up = swma + (atr * atr_mult)
float swma_dn = swma - (atr * atr_mult)
float cwma_up = cwma + (atr * atr_mult)
float cwma_dn = cwma - (atr * atr_mult)
This adjustment allows for better adaptation to varying market volatility, making the signal more reliable.
Signals and Trend Calculation
The indicator generates a Trend Signal by aggregating the output from each component. Each component provides a directional signal that is combined to form a unified trend reading. The trend value is then converted into a long (1), short (-1), or neutral (0) state.
Backtesting Mode and Performance Metrics
The Backtesting Mode includes a performance metrics table that compares the Buy and Hold strategy with the TrigWave Suite strategy. Key statistics like Sharpe Ratio, Sortino Ratio, and Omega Ratio are displayed to help users assess performance. Note that due to labels and plotchar use, automatic scaling may not function ideally in backtest mode.
Alerts and Visualization
Trend Direction Alerts: Set up alerts for long and short signals
Color Bars and Gradient Option: Bars are colored based on the trend direction, with an optional gradient for smoother visual feedback.
Important Notes
Customization: Default settings are experimental and not intended for trading/investing purposes. Users are encouraged to adjust and calibrate the settings to optimize results according to their trading style.
Backtest Results Disclaimer: Please note that backtest results are not indicative of future performance, and no strategy guarantees success.
Cross-Asset Correlation Trend IndicatorCross-Asset Correlation Trend Indicator
This indicator uses correlations between the charted asset and ten others to calculate an overall trend prediction. Each ticker is configurable, and by analyzing the trend of each asset, the indicator predicts an average trend for the main asset on the chart. The strength of each asset's trend is weighted by its correlation to the charted asset, resulting in a single average trend signal. This can be a rather robust and effective signal, though it is often slow.
Functionality Overview :
The Cross-Asset Correlation Trend Indicator calculates the average trend of a charted asset based on the correlation and trend of up to ten other assets. Each asset is assigned a trend signal using a simple EMA crossover method (two customizable EMAs). If the shorter EMA crosses above the longer one, the asset trend is marked as positive; if it crosses below, the trend is negative. Each trend is then weighted by the correlation coefficient between that asset’s closing price and the charted asset’s closing price. The final output is an average weighted trend signal, which combines each trend with its respective correlation weight.
Input Parameters :
EMA 1 Length : Sets the period of the shorter EMA used to determine trends.
EMA 2 Length : Sets the period of the longer EMA used to determine trends.
Correlation Length : Defines the lookback period used for calculating the correlation between the charted asset and each of the other selected assets.
Asset Tickers : Each of the ten tickers is configurable, allowing you to set specific assets to analyze correlations with the charted asset.
Show Trend Table : Toggle to show or hide a table with each asset’s weighted trend. The table displays green, red, or white text for each weighted trend, indicating positive, negative, or neutral trends, respectively.
Table Position : Choose the position of the trend table on the chart.
Recommended Use :
As always, it’s essential to backtest the indicator thoroughly on your chosen asset and timeframe to ensure it aligns with your strategy. Feel free to modify the input parameters as needed—while the defaults work well for me, they may need adjustment to better suit your assets, timeframes, and trading style.
As always, I wish you the best of luck and immense fortune as you develop your systems. May this indicator help you make well-informed, profitable decisions!
Supertrend EMA & KNNSupertrend EMA & KNN
The Supertrend EMA indicator cuts through the noise to deliver clear trend signals.
This tool is built using the good old Exponential Moving Averages (EMAs) with a novel of machine learning; KNN (K Nearest Neighbors) breakout detection method.
Key Features:
Effortless Trend Identification: Supertrend EMA simplifies trend analysis by automatically displaying a color-coded EMA. Green indicates an uptrend, red signifies a downtrend, and the absence of color suggests a potential range.
Dynamic Breakout Detection: Unlike traditional EMAs, Supertrend EMA incorporates a KNN-based approach to identify breakouts. This allows for faster color changes compared to standard EMAs, offering a more dynamic picture of the trend.
Customizable Parameters: Fine-tune the indicator to your trading style. Adjust the EMA length for trend smoothing, KNN lookback window for breakout sensitivity, and breakout threshold for filtering noise.
A Glimpse Under the Hood:
Dual EMA Power: The indicator utilizes two EMAs. A longer EMA (controlled by the "EMA Length" parameter) provides a smooth trend direction, while a shorter EMA (controlled by the "Short EMA Length" parameter) triggers color changes, aiming for faster response to breakouts.
KNN Breakout Detection: This innovative feature analyzes price action over a user-defined lookback period (controlled by the "KNN Lookback Length" parameter) to identify potential breakouts. If the price surpasses a user-defined threshold (controlled by the "Breakout Threshold" parameter) above the recent highs, a green color is triggered, signaling a potential uptrend. Conversely, a breakdown below the recent lows triggers a red color, indicating a potential downtrend.
Trading with Supertrend EMA:
Ride the Trend: When the indicator displays green, look for long (buy) opportunities, especially when confirmed by bullish price action patterns on lower timeframes. Conversely, red suggests potential shorting (sell) opportunities, again confirmed by bearish price action on lower timeframes.
Embrace Clarity: The color-coded EMA provides a clear visual representation of the trend, allowing you to focus on price action and refine your entry and exit strategies.
A Word of Caution:
While Supertrend EMA offers faster color changes than traditional EMAs, it's important to acknowledge a slight inherent lag. Breakout detection relies on historical data, and there may be a brief delay before the color reflects a new trend.
To achieve optimal results, consider:
Complementary Tools: Combine Supertrend EMA with other indicators or price action analysis for additional confirmation before entering trades.
Solid Risk Management: Always practice sound risk management strategies such as using stop-loss orders to limit potential losses.
Supertrend EMA is a powerful tool designed to simplify trend identification and enhance your trading experience. However, remember, no single indicator guarantees success. Use it with a comprehensive trading strategy and disciplined risk management for optimal results.
Disclaimer:
While the Supertrend EMA indicator can be a valuable tool for identifying potential trend changes, it's important to note that it's not infallible. Market conditions can be highly dynamic, and indicators may sometimes provide false signals. Therefore, it's crucial to use this indicator in conjunction with other technical analysis tools and sound risk management practices. Always conduct thorough research and consider consulting with a financial advisor before making any investment decisions.
Power Core MAThe Power Core MA indicator is a powerful tool designed to identify the most significant moving average (MA) in a given price chart. This indicator analyzes a wide range of moving averages, from 50 to 400 periods, to determine which one has the strongest influence on the current price action.
The blue line plotted on the chart represents the "Current Core MA," which is the moving average that is most closely aligned with other nearby moving averages. This line indicates the current trend and potential support or resistance levels.
The table displayed on the chart provides two important pieces of information. The "Current Core MA" value shows the length of the moving average that is currently most influential. The "Historical Core MA" value represents the average length of the most influential moving averages over time.
This indicator is particularly useful for traders and analysts who want to identify the most relevant moving average for their analysis. By focusing on the moving average that has the strongest historical significance, users can make more informed decisions about trend direction, support and resistance levels, and potential entry or exit points.
The Power Core MA is an excellent tool for those interested in finding the strongest moving average in the price history. It simplifies the process of analyzing multiple moving averages by automatically identifying the most influential one, saving time and providing valuable insights into market dynamics.
By combining current and historical data, this indicator offers a comprehensive view of the market's behavior, helping traders to adapt their strategies to the most relevant timeframes and trend strengths.
Trade Mavrix: Elite Trade NavigatorYour ultimate trading companion that helps you spot profitable breakouts, perfect pullbacks, and crucial support & resistance levels. Ready to take your trading to the next level? Let's dive in!
Adaptive ema Cloud v1 Trend & Trade Signals"adaptive ema cloud v1 trend & trade signals" is a comprehensive technical indicator aimed at assisting traders in identifying market trends, trade entry points, and potential take profit (tp) and stop-loss (sl) levels. this indicator combines adaptive exponential moving average (ema) clouds with standard deviation bands to create a visual trend and signal system, enabling users to better analyze price action.
key features:
adaptive ema cloud: calculates a dynamic ema-based cloud using a simple moving average (sma) line, with upper and lower deviation bands based on standard deviations. users can adjust the standard deviation multiplier to modify the cloud's width.
trend direction detection: the indicator determines trend direction by comparing the close price to the ema cloud and signals bullish or bearish trends when the price crosses key levels.
take profit (tp) and stop-loss (sl) points: adaptive tp and sl levels are calculated based on the deviation bands, providing users with suggested exit points when a trade is triggered.
peak and valley detection: detects peaks and valleys in price, aiding traders in spotting potential support and resistance areas.
gradient-based cloud fill: dynamically fills the cloud with a gradient color based on trend strength, helping users visually gauge trend intensity.
trade tracking: tracks recent trades and records them in an internal memory, allowing users to view the last 20 trade outcomes, including whether tp or sl was hit.
how to use:
trend signals: look for green arrows (bullish trend) or red arrows (bearish trend) to identify potential entries based on trend crossovers.
tp/sl management: tp and sl levels are automatically calculated and displayed, with alerts available to notify users when these levels are reached.
adjustable settings: customize period length, standard deviation multiplier, and color preferences to match trading preferences and chart style.
inputs-
period: defines the look-back period for ema calculations.
standard deviation multiplier: adjusts cloud thickness by setting the multiplier for tp and sl bands.
gauge size: scales the gradient intensity for trend cloud visualization.
up/down colors: allows users to set custom colors for bullish and bearish bars.
alert conditions: this script has built-in alerts for trend changes, tp, and sl levels, providing users with automated notifications of important trading signals.
The Forexation: Super Trend SignalsOverview:
The Forexation: Super Trend Signals (STS) indicator was crafted to enhance visualization of market trends by integrating multiple technical analysis tools and adding logic to them so they color bullish, bearish, counter trends, and cautious trends. By combining standard and higher-timeframe Supertrends with dynamic EMAs and VWAP, STS offers a multi-dimensional view of market dynamics. This synergy allows traders to:
Assess Trend Strength and Alignment
Identify Momentum Shifts and Reversals
Gauge Market Sentiment through Volume-Weighted Pricing
Filter Out Market Noise for Clearer Signals
Key Features and Synergy:
1. Dual Supertrend Analysis:
Standard Supertrend:
Utilizes the Average True Range (ATR) and a multiplier factor to detect immediate market trends.
Customizable ATR Length and Factor to adjust sensitivity to market volatility.
Used as a guide to help follow the trend and identify where if price breaks through we can be reversing trend or entering a counter/cautious trend.
Higher Time Frame (HTF) Supertrend:
Integrates Supertrend data from a higher timeframe for a broader market perspective.
Smoothing applied via an EMA to reduce lag and false signals.
**Synergistic Effect:
Trend Alignment: By analyzing both standard and HTF Supertrends, STS identifies when short-term trends align with long-term trends, increasing the reliability of trend signals.
Dynamic Adjustments: Traders can adjust parameters to fine-tune the balance between responsiveness and stability.
2. Customized EMAs with Contextual Color-Coding:
Fast and Slow EMAs:
Customizable periods to match different trading strategies and timeframes.
EMAs are used to identify momentum shifts and potential reversals through crossovers.
Dynamic Color-Coding:
EMA lines change color based on their relationship with each other, the Supertrends, and VWAP.
Visual Interpretation:
Bullish Alignment: Fast EMA above Slow EMA, both above Supertrend and VWAP, signals strong upward momentum.
Bearish Alignment: Fast EMA below Slow EMA, both below Supertrend and VWAP, signals strong downward momentum.
Caution Zones: Misalignment or crossovers indicate potential reversals or consolidation.
**Synergistic Effect:
Momentum Confirmation: EMA crossovers are validated against Supertrend directions, reducing false signals.
Support and Resistance Zones: The area between EMAs acts as dynamic support/resistance, visualized through an optional fill.
3. VWAP Integration for Volume-Weighted Insights:
VWAP Analysis:
Calculates the average price weighted by volume, providing insights into institutional trading levels and market sentiment.
**Synergistic Effect:
Trend Validation: Confirms trend strength by analyzing whether price and EMAs are above or below VWAP.
Counter-Trend Detection: Identifies potential pullbacks or reversals when price interacts with VWAP against the prevailing trend of the standard and higher time frame SuperTrend.
4. Composite Signal Generation:
Color-Coded Market Conditions:
Bullish Signals (Green): Strong upward trends with alignment across standard + HTF Supertrend, EMAs, and price above VWAP.
Bearish Signals (Red): Strong downward trends with inverse alignment.
Caution State (Orange): Potential market reversals or uncertainty when indicators are misaligned. (Example: price above VWAP but under HTF SuperTrend)
Counter-Trend Conditions (Yellow): Signals possible pullbacks or consolidations when price or EMAs cross VWAP. (Example: Price is above VWAP & HTF SuperTrend but the EMAs and Standard SuperTrend are in a down trend)
**Synergistic Effect:
Enhanced Signal Accuracy: By requiring multiple confirmations across different indicators and timeframes, STS filters out noise and increases the probability of trends in the market.
Timely Alerts: Alerts are generated when critical conditions are met, keeping traders informed of significant market movements.
Underlying Concepts and Calculations:
Supertrend Algorithm:
Calculation:
Supertrend is calculated using ATR to set a dynamic trailing stop that follows price movements.
The indicator switches between bullish and bearish modes when price crosses the Supertrend line.
Customization:
ATR Length and Factor can be adjusted to make the Supertrend more or less sensitive to price changes.
In STS: Both standard and HTF Supertrends are used, with the HTF providing longer-term trend context.
Exponential Moving Averages (EMAs):
Calculation:
EMAs apply more weight to recent prices, making them more responsive than Simple Moving Averages (SMAs).
Crossovers between Fast and Slow EMAs signal potential momentum shifts.
Customization:
Periods for Fast and Slow EMAs are user-defined to suit different trading styles.
In STS: EMA behavior is analyzed in conjunction with Supertrend and VWAP to validate signals.
Volume Weighted Average Price (VWAP):
Calculation:
VWAP accumulates total dollars traded (price times volume) divided by total volume over a specific period.
Reflects the average price at which the instrument has traded throughout the day based on both price and volume.
**In STS:
VWAP serves as a dynamic support/resistance level.
Interaction with VWAP can indicate shifts in market sentiment, especially when combined with other indicators.
Justifying the Value of STS:
Holistic Market Analysis:
STS doesn't just merge indicators; it creates a cohesive system where each component validates and enhances the others.
This integrated approach offers a more reliable analysis than using individual indicators in isolation.
Customizable and Adaptive:
Traders have control over key parameters, allowing STS to be tailored to different markets and trading styles.
The ability to adjust sensitivity helps in adapting to varying market conditions.
Enhanced Decision-Making:
By providing clear visual cues and alerts, STS aids in quick interpretation of complex market data.
The indicator helps in identifying high-probability trend opportunities and managing risk effectively with trailing SuperTrend guidance.
Unique Signal Filtering:
The combination of multiple confirmations reduces the likelihood of false trend signals.
The use of higher timeframe data and volume-weighted analysis adds depth to trend assessment.
How to Use STS Effectively:
1. Configuring Settings:
Supertrend Settings:
Adjust ATR Length and Factor to set the desired sensitivity.
Select the Higher Time Frame for the HTF Supertrend to align with your trading horizon.
Set the Smoothing Period for the EMA applied to the HTF Supertrend.
EMA Settings:
Define periods for Fast and Slow EMAs based on your strategy.
Ensure the Fast EMA period is shorter than the Slow EMA for effective crossovers.
Color and Display Settings:
Customize colors for different market conditions to enhance visual clarity.
Choose whether to display the HTF Supertrend, EMA lines, EMA fill, and VWAP.
2. Interpreting Signals:
Bullish Scenario:
Supertrends indicate an uptrend.
Fast EMA crosses above Slow EMA, both trending upwards.
Price and EMAs are above VWAP.
Action: Consider long positions, using the standard Supertrend as a trailing stop.
Bearish Scenario:
Supertrends indicate a downtrend.
Fast EMA crosses below Slow EMA, both trending downwards.
Price and EMAs are below VWAP.
Action: Consider short positions. using the standard Supertrend as a trailing stop
Caution and Counter-Trend Signals:
Misalignment between indicators or color changes to orange/yellow.
Action: Exercise caution, tighten stops, or wait for clearer signals.
4. Setting Up Alerts:
Access the Alerts menu.
Configure alerts for:
Supertrend Direction Changes
EMA Crossovers
Price Crossing VWAP
Set alert actions and ensure they trigger on confirmed data by selecting "Once Per Bar Close."
Example Trading Strategies:
Trend Following:
Use STS to identify strong trends where all indicators are aligned.
Enter positions in the direction of the trend.
Use Supertrend lines as dynamic stop-loss levels.
Pullback Entries:
Wait for price to pull back to the EMA fill area or VWAP in a prevailing trend.
Look for bounce signals off these levels when supported by Supertrend direction.
Counter-Trend Opportunities:
Identify potential reversals when caution or counter-trend signals appear.
Confirm with additional analysis or indicators before taking positions against the main trend.
Disclaimer:
This indicator is intended to aid in technical analysis and should be used as part of a comprehensive trading strategy. It does not guarantee profits and carries the risk of loss. Trading financial instruments involves significant risk; please consult with a qualified financial advisor before making any investment decisions. Past performance is not indicative of future results.
Final Notes:
The Forexation: Super Trend Signals (STS) indicator represents a thoughtfully engineered tool that brings together multiple technical elements to provide a more nuanced understanding of market behavior. By leveraging the strengths of Supertrend, EMAs, and VWAP in unison, STS aims to enhance trading precision and confidence in the trends the market creates but also guide risk management levels for managing a trade and stop loss areas.
We are committed to continuous improvement and value user feedback. Please share your experiences and suggestions to help us refine the indicator further.
Happy Trading!
Multi-Trend SynchronizerMulti-Trend Synchronizer
The Multi-Trend Synchronizer indicator provides a multi-timeframe trend analysis using SMMA (Smoothed Moving Average) across three user-defined timeframes: short, medium, and long-term. By synchronizing trends from these timeframes, this tool helps traders identify stronger alignment signals for potential trend continuation or reversal, enhancing decision-making in various market conditions.
Key Features
Multi-Timeframe Trend Analysis: Users can set three different timeframes, allowing flexibility in tracking trends over short (e.g., 15 minutes), medium (e.g., 1 hour), and long-term (e.g., 4 hours) intervals.
Clear Trend Visualization: The indicator plots SMMA lines on the main chart, color-coded by timeframe for intuitive reading. It also displays an at-a-glance trend alignment table, showing the current trend direction (bullish, bearish, or neutral) for each timeframe.
Buy and Sell Signals: Alignment across all timeframes generates Buy and Sell signals, visualized on the chart with distinct markers to aid entry/exit timing.
Usage Notes
This indicator is best used for trend-following strategies. The SMMA-based design provides smoother trend transitions, reducing noise compared to standard moving averages. However, as with all indicators, it is not foolproof and should be combined with other analyses for robust decision-making.
How It Works
The indicator calculates SMMA values for each selected timeframe and tracks trend changes based on SMMA's direction. When all timeframes show a unified direction (either bullish or bearish), the indicator generates a Buy or Sell signal. A table displays real-time trend direction, with color codes to assist traders in quickly assessing the market's overall direction.
Indicator Settings
Timeframes: Customize each SMMA timeframe to align with personal trading strategies or market conditions.
SMMA Length: Adjust the length of the SMMA to control sensitivity. Lower values may increase signal frequency, while higher values provide smoother, more stable trend indicators.
Disclaimer: As with any trend-following tool, this indicator is most effective when used in trending markets and may be less reliable in sideways conditions. Past performance does not guarantee future results, and users should be cautious of market volatility.
Use it for educational purposes!
Arshtiq - Multi-Timeframe Trend StrategyMulti-Timeframe Setup:
The script uses two distinct timeframes: a higher (daily) timeframe for identifying the trend and a lower (hourly) timeframe for making trades. This combination allows the script to follow the larger trend while timing entries and exits with more precision on a shorter timeframe.
Moving Averages Calculation:
higher_ma: The 20-period Simple Moving Average (SMA) calculated based on the daily timeframe. This average gives a sense of the larger trend direction.
lower_ma: The 20-period SMA calculated on the hourly (current) timeframe, providing a dynamic level for detecting entry and exit points within the broader trend.
Trend Identification:
Bullish Trend: The script determines that a bullish trend is present if the current price is above the daily moving average (higher_ma).
Bearish Trend: Similarly, a bearish trend is identified when the current price is below this daily moving average.
Trade Signals:
Buy Signal: A buy signal is generated when the price on the hourly chart crosses above the hourly 20-period MA, but only if the higher (daily) timeframe trend is bullish. This ensures that buy trades align with the larger upward trend.
Sell Signal: A sell signal is generated when the price on the hourly chart crosses below the hourly 20-period MA, but only if the daily trend is bearish. This ensures that sell trades are consistent with the broader downtrend.
Plotting and Visual Cues:
Higher Timeframe MA: The daily 20-period moving average is plotted in red to help visualize the long-term trend.
Buy and Sell Signals: Buy signals appear as green labels below the price bars with the text "BUY," while sell signals appear as red labels above the bars with the text "SELL."
Background Coloring: The background changes color based on the identified trend for easier trend recognition:
Green (with transparency) when the daily trend is bullish.
Red (with transparency) when the daily trend is bearish.
WiseOwl Indicator - 1.0 The WiseOwl Indicator - 1.0 is a technical analysis tool designed to help traders identify potential entry points and market trends based on Exponential Moving Averages (EMAs) across multiple timeframes. It focuses on providing clear visual cues for bullish and bearish market conditions, as well as potential breakout opportunities.
Key Features
Multi-Timeframe EMA Analysis: Calculates EMAs on the current timeframe, Daily timeframe, and 15-minute timeframe to confirm trends.
Bullish and Bearish Market Identification: Determines market conditions based on the 200-period EMA on the Daily timeframe.
Directional Candle Coloring: Highlights candles based on their position relative to EMAs to provide immediate visual feedback.
Entry Signals: Plots buy and sell signals on the chart when specific conditions are met on the 1-hour and 4-hour timeframes.
Breakout Candle Highlighting: Colors candles differently when significant price movements occur, indicating potential breakout opportunities.
How It Works
Market Condition Determination:
Bullish Market: When the close price is above the 200-period EMA on the Daily timeframe.
Bearish Market: When the close price is below the 200-period EMA on the Daily timeframe.
Directional Candle Coloring:
Green Background: Applied when the close is above the 50-period EMA and the market is not bearish.
Red Background: Applied when the close is below the 50-period EMA and the market is not bullish.
Uses the Average True Range (ATR) to define a range threshold.
Suppresses signals when EMAs are within this range, indicating a sideways market.
Plotting Entry Signals:
Plots arrows on the chart for potential long and short entries on the 1-hour and 4-hour timeframes.
Breakout Candle Coloring:
Colors candles blue when a bullish breakout condition is met.
Colors candles orange when a bearish breakout condition is met.
How to Use
Trend Identification: Use the background coloring to quickly identify the overall market trend.
Green Background: Suggests bullish conditions; consider looking for long opportunities.
Red Background: Suggests bearish conditions; consider looking for short opportunities.
Entry Signals: Look for plotted arrows on the chart.
Green Upward Arrow: Indicates a potential long entry signal on the 1-hour or 4-hour timeframe.
Red Downward Arrow: Indicates a potential short entry signal on the 1-hour or 4-hour timeframe.
Breakout Opportunities: Watch for candles colored blue or orange.
Blue Candles: Highlight significant upward price movements.
Orange Candles: Highlight significant downward price movements.
Avoiding Ranging Markets: Be cautious when signals are suppressed due to ranging conditions; the market may not have a clear direction.
Example Usage
Identifying a Bullish Market:
The background turns green.
Price crosses above the 50 EMA.
A green upward arrow appears below a candle on the 1-hour or 4-hour chart.
Identifying a Bearish Market:
The background turns red.
Price crosses below the 50 EMA.
A red downward arrow appears above a candle on the 1-hour or 4-hour chart.
Notes
Open-Source Code: The script is open-source, allowing users to review and understand the logic behind the indicator.
Educational Purpose: This indicator is intended to aid in technical analysis and should not be used as the sole basis for trading decisions.
Disclaimer
This indicator is for educational purposes only and does not constitute financial advice. Trading involves risk, and you should consult with a qualified financial advisor before making any investment decisions.
Moving Average Simple Tool [OmegaTools]This TradingView script is a versatile Moving Average Tool that offers users multiple moving average types and a customizable overbought and oversold (OB/OS) sensitivity feature. It is designed to assist in identifying potential price trends, reversals, and momentum by using different average calculations and providing visual indicators for deviation levels. Below is a detailed breakdown of the settings, functionality, and visual elements within the Moving Average Simple Tool.
Indicator Overview
Indicator Name: Moving Average Simple Tool
Short Title: MA Tool
Purpose: Provides a choice of six moving average types with configurable sensitivity, which helps traders identify trend direction, potential reversal zones, and overbought or oversold conditions.
Input Parameters
Source (src): This option allows the user to select the data source for the moving average calculation. By default, it is set to close, but users can choose other options like open, high, low, or any custom price data.
Length (lnt): Defines the period length for the moving average. By default, it is set to 21 periods, allowing users to adjust the moving average sensitivity to either shorter or longer periods.
Average Type (mode): This input defines the moving average calculation type. Six types of averages are available:
SMA (Simple Moving Average)
EMA (Exponential Moving Average)
WMA (Weighted Moving Average)
VWMA (Volume-Weighted Moving Average)
RMA (Rolling Moving Average)
Middle Line: Calculates the average between the highest and lowest price over the period specified in Length. This is useful for a mid-range line rather than a traditional moving average.
Sensitivity (sens): This parameter controls the sensitivity of the overbought and oversold levels. The sensitivity value can range from 1 to 40, where a lower value represents a higher sensitivity and a higher value allows for smoother OB/OS zones.
Color Settings:
OS (Oversold Color, upc): The color applied to deviation areas that fall below the oversold threshold.
OB (Overbought Color, dnc): The color applied to deviation areas that exceed the overbought threshold.
Middle Line Color (midc): A gradient color that visually blends between overbought and oversold colors for smoother visual transitions.
Calculation Components
Moving Average Calculation (mu): Based on the chosen Average Type, this calculation derives the moving average or middle line value for the selected source and length.
Deviation (dev): The deviation of the source value from the moving average is calculated. This is useful to determine whether the current price is significantly above or below the average, signaling potential buying or selling opportunities.
Overbought (ob) and Oversold (os) Levels: These levels are calculated using a linear percentile interpolation based on the deviation, length, and sensitivity inputs. The higher the sensitivity, the narrower the overbought and oversold zones, allowing users to capture more frequent signals.
Visual Elements
Moving Average Line (mu): This line represents the moving average based on the selected calculation method and is plotted with a dynamic color based on deviation thresholds. When the deviation crosses into overbought or oversold zones, it shifts to the corresponding OB/OS colors, providing a visual indication of potential trend reversals.
Deviation Plot (dev): This plot visualizes the deviation values as a column plot, with colors matching the overbought, oversold, or neutral states. This helps users to quickly assess whether the price is trending or reverting back to its mean.
Overbought (ob) and Oversold (os) Levels: These levels are plotted as fixed lines, helping users identify when the deviation crosses into overbought or oversold zones.
M.Kiriti RSI with SMA & WMAThis script is a custom RSI indicator with added SMA and WMA moving averages to smooth RSI trends and improve analysis of momentum shifts.
1. RSI Calculation: Measures 14-period RSI of the closing price, default threshold levels at 70 (overbought) and 30 (oversold).
2. Moving Averages (SMA and WMA):
- SMA and WMA are applied to RSI for trend smoothing.
- SMA gives equal weight; WMA gives more weight to recent values, making it more responsive.
3.Overbought/Oversold Lines and Labels:
- Horizontal lines and scale labels at 70 (overbought) and 30 (oversold) make these levels easy to reference.
This indicator is useful for identifying potential reversal points and momentum trends when RSI crosses its moving averages.
Smoothed Heiken Ashi Trend FilterThis indicator applies the Heiken Ashi technique with added smoothing and trend filtering to help reduce noise and improve trend detection.
Components of the Indicator:
Heiken Ashi Calculations:
Heiken Ashi Close (ha_close): This is the smoothed average of the current bar’s open, high, low, and close prices, calculated with a simple moving average (SMA) to filter out noise.
Heiken Ashi Open (ha_open): This is the average of the previous Heiken Ashi Open and the current Heiken Ashi Close. It’s also initialized to smooth the transition on the first bar.
Heiken Ashi High (ha_high) and Low (ha_low): These values are calculated as the highest and lowest values among the high, Heiken Ashi Open, and Heiken Ashi Close for each bar.
Smoothing and Noise Reduction:
Smoothing Length: The indicator applies a smoothing length to the Heiken Ashi Close, calculated with an SMA. This reduces minor fluctuations, giving a clearer view of the price action.
Minimum Body Size Filter: This filter calculates the body size of each Heiken Ashi candle and compares it to a percentage of the Average True Range (ATR). Only significant candles (those with larger bodies) are plotted, reducing weak or indecisive signals.
Trend Filtering with Moving Average:
The indicator uses a simple moving average (SMA) as a trend filter. By comparing the Heiken Ashi Close to the moving average:
Bullish Trend: The Heiken Ashi candle is green when it’s above the moving average.
Bearish Trend: The Heiken Ashi candle is red when it’s below the moving average.
How to Use This Indicator:
Trend Identification:
Green candles signify a bullish trend, while red candles signify a bearish trend.
The smoothing and trend filtering make it easier to identify sustained trends and avoid reacting to short-term fluctuations.
Filtering Out Noise:
Minor price fluctuations and small-bodied candles (often resulting in indecisive signals) are filtered out, leaving only significant signals.
Adjustable Parameters:
Smoothing Length: Controls the degree of smoothing applied to the Heiken Ashi Close value. Increasing this value will make the Heiken Ashi candles smoother.
Minimum Body Size: This is a percentage of the ATR, used to filter out small or indecisive candles.
Trend Moving Average Length: Controls the period of the moving average used as a trend filter.
This Smoothed Heiken Ashi Trend Filter indicator is useful for identifying trends and filtering out noisy signals. By smoothing and filtering, it helps traders focus on the overall trend rather than minor price movements.
Let me know if there’s anything more you’d like to add or adjust!
Granular Candle-by-Candle VWAPGranular Candle-by-Candle VWAP is a customizable Volume Weighted Average Price (VWAP) indicator designed for TradingView. Unlike traditional VWAP indicators that operate on the chart's primary timeframe, this script enhances precision by incorporating lower timeframe (e.g., 1-minute) data into VWAP calculations. This granular approach provides traders with a more detailed and accurate representation of the average price, accounting for intra-bar price and volume movements. The indicator dynamically adjusts to the chart's current timeframe and offers a range of customization options, including price type selection, visual styling, and alert configurations.
Customizable Features
Users have extensive control over various aspects of the Granular Candle-by-Candle VWAP indicator. Below are the key features that can be customized to align with individual trading preferences:
🎛️ Customizable Features
Users have extensive control over various aspects of the Granular Candle-by-Candle VWAP indicator. Below are the key features that can be customized to align with individual trading preferences:
🔢 Lookback Period
Description: Defines the number of lower timeframe bars used in the VWAP calculation.
Customization:
Input: VWAP Lookback Period (Number of Lower Timeframe Bars)
Default Value: 20 bars
Range: Minimum of 1 bar
Purpose: Allows traders to adjust the sensitivity of the VWAP. A smaller lookback period makes the VWAP more responsive to recent price changes, while a larger period smoothens out fluctuations.
📈 Price Type Selection
Description: Determines which price metric is used in the VWAP calculation.
Customization:
Input: Price Type for VWAP Calculation
Options:
Open: Uses the opening price of each lower timeframe bar.
High: Uses the highest price of each lower timeframe bar.
Low: Uses the lowest price of each lower timeframe bar.
Close: Uses the closing price of each lower timeframe bar.
OHLC/4: Averages the Open, High, Low, and Close prices.
HL/2: Averages the High and Low prices.
Typical Price: (High + Low + Close) / 3
Weighted Close: (High + Low + 2 × Close) / 4
Default Value: Close
Purpose: Offers flexibility in how the average price is calculated, allowing traders to choose the price metric that best fits their analysis style.
🕒 Lower Timeframe Selection
Description: Specifies the lower timeframe from which data is fetched for granular VWAP calculations.
Customization:
Input: Lower Timeframe for Granular Data
Default Value: 1 minute ("1")
Options: Any valid TradingView timeframe (e.g., "1", "3", "5", "15", etc.)
Purpose: Enables traders to select the granularity of data used in the VWAP calculation, enhancing the indicator's precision on higher timeframe charts.
🎨 VWAP Line Customization
Description: Adjusts the visual appearance of the VWAP line based on price position relative to the VWAP.
Customizations:
Color When Price is Above VWAP:
Input: VWAP Color (Price Above)
Default Value: Green
Color When Price is Below VWAP:
Input: VWAP Color (Price Below)
Default Value: Red
Line Thickness:
Input: VWAP Line Thickness
Default Value: 2
Range: Minimum of 1
Line Style:
Input: VWAP Line Style
Options: Solid, Dashed, Dotted
Default Value: Solid
Purpose: Enhances visual clarity, allowing traders to quickly assess price positions relative to the VWAP through color coding and line styling.
🔔 Alerts and Notifications
Description: Provides real-time notifications when the price crosses the VWAP.
Customizations:
Enable/Disable Alerts:
Input: Enable Alerts for Price Crossing VWAP
Default Value: Enabled (true)
Alert Conditions:
Price Crossing Above VWAP:
Trigger: When the closing price crosses from below to above the VWAP.
Alert Message: "Price has crossed above the Granular VWAP."
Price Crossing Below VWAP:
Trigger: When the closing price crosses from above to below the VWAP.
Alert Message: "Price has crossed below the Granular VWAP."
Purpose: Keeps traders informed of significant price movements relative to the VWAP, facilitating timely trading decisions.
📊 Plotting and Visualization
Description: Displays the calculated Granular VWAP on the chart with user-defined styling.
Customization Options:
Color, Thickness, and Style: As defined in the VWAP Line Customization section.
Track Price Feature:
Parameter: trackprice=true
Function: Ensures that the VWAP line remains visible even when the price moves far from the VWAP.
Purpose: Provides a clear and persistent visual reference of the VWAP on the chart, aiding in trend analysis and support/resistance identification.
⚙️ Performance Optimizations
Description: Ensures the indicator runs efficiently, especially on higher timeframes with large datasets.
Strategies Implemented:
Minimized Security Calls: Utilizes two separate request.security calls to fetch necessary data, balancing functionality and performance.
Efficient Calculations: Employs built-in functions like ta.sum for rolling calculations to reduce computational load.
Conditional Processing: Alerts are processed only when enabled, preventing unnecessary computations.
Purpose: Maintains smooth chart performance and responsiveness, even when using lower timeframe data for granular calculations.
Dynamic Linear CandlesDynamic Linear Candles is a unique and versatile indicator that reimagines traditional candlestick patterns by integrating customizable moving averages directly into candle structures. This dynamic approach smooths the appearance of candlesticks to better highlight trends and suppress minor market noise, allowing traders to focus on essential price movements.
Key Features:
1. Dynamic Candle Smoothing: Choose between popular smoothing types (SMA, EMA, WMA, HMA) to apply directly to each candle’s Open, High, Low, and Close values. This adaptive smoothing reveals hidden trends by refining price action into simplified, flowing candles, ideal for spotting subtle changes in market sentiment.
2. Signal Line Overlay: The signal line provides an additional layer of trend confirmation. Select from SMA, EMA, WMA, or HMA smoothing to match your trading style. The line dynamically changes color based on the price’s relative position, helping traders quickly identify bullish or bearish shifts.
3. Enhanced Candle Visualization: Candles adjust in color and opacity based on bullish or bearish trends, providing immediate visual cues about market momentum. The customized color and opacity settings allow for clearer distinction, especially in noisy markets.
Why This Combination?
This script is more than just an aesthetic adjustment; it’s a purposeful combination of moving averages and candle smoothing designed to enhance readability and actionable insights. Traditional candles often suffer from excessive noise in volatile markets, and this mashup addresses that by creating a smooth, flowing chart that adapts to the underlying trend. The Signal Line adds confirmation, acting as a filter for potential entries and exits. Together, these elements serve as a concise toolset for traders aiming to capture trend-based opportunities with clarity and precision.
US Party Rule Indicator**Here's a description you can use for the indicator:**
**US Party Rule Indicator**
This indicator visually represents the political party in power in the United States over a specified period. It overlays a colored 200-day Exponential Moving Average (EMA) on the chart. The color of the EMA changes to reflect the ruling party, providing a visual representation of political influence on market trends.
**Key Features:**
- **Dynamic Color-Coded EMA:** The 200-EMA changes color to indicate the party in power (Red for Republican, Blue for Democrat).
- **Clear Visual Representation:** The colored EMA provides an easy-to-understand visual cue for identifying periods of different political parties.
- **Historical Context:** By analyzing the historical data, you can gain insights into potential correlations between party rule and market trends.
**How to Use:**
1. **Add the Indicator:** Add the "US Party Rule Indicator" to your chart.
2. **Interpret the Color:** The color of the 200-EMA indicates the ruling party at that time.
3. **Analyze Market Trends:** Use the indicator to identify potential correlations between political events and market movements.
**Note:** This indicator is for informational purposes only and should not be used as the sole basis for investment decisions. Always conduct thorough research and consider consulting with a financial advisor.
Returns Stationarity Analysis (YavuzAkbay)This indicator analyzes the stationarity of a stock's price returns over time. Stationarity is an important property of time series data, as it determines the validity of statistical analysis and forecasting methods.
The indicator provides several visual cues to help assess the stationarity of the price returns:
Price Returns: Displays the daily percentage change in the stock's closing price.
Moving Average: Shows the smoothed trend of the price returns using a simple moving average.
Z-Score: Calculates the standardized z-score of the price returns, highlighting periods of significant deviation from the mean.
Autocorrelation: Plots the autocorrelation of the price returns, which measures the persistence or "memory" in the time series. High autocorrelation suggests non-stationarity.
The indicator also includes the following features:
Customizable lookback period and smoothing window for the moving statistics.
Lag parameter for the autocorrelation calculation.
Shaded bands to indicate the significance levels for the z-score and autocorrelation.
Visual signals (red dots) to highlight periods that are potentially non-stationary, based on a combination of high z-score and autocorrelation.
Informative labels to guide the interpretation of the results.
This indicator can be a useful tool for stock market analysts and traders to identify potential changes in the underlying dynamics of a stock's price behavior, which may have implications for forecasting, risk management, and investment strategies.
All-Market Monitor 中文說明
全能市場監測者是一款多功能指標，為交易者提供全面的市場監控，包含價格趨勢、移動平均線、交易量及風險管理等數據。此指標支援多項參數設置，方便交易者根據需求調整配置，實現更靈活的交易策略。
參數說明：
SMA長度設定：可調整7條不同長度的SMA (簡單移動平均線)，提供不同時間框架的趨勢信息。
交易量倍數：設置交易量的倍數，強調異常的交易量變化。當交易量倍數達到指定條件時，K線會改變顏色，以便快速辨識市場中的顯著變動。
最低低點期間：設定計算最低價格線的期間，用於判斷進場後的趨勢止盈位置。此支撐線能幫助交易者在趨勢中保護利潤。
ATR期數與倍數：ATR (平均真實範圍) 用於計算止損線，期數及倍數可調整，以便根據波動性設定更合適的止損範圍。
進場價位與USDT總量：用戶可以輸入預計的進場價位和總資金量，指標會根據風險控制自動計算建倉金額。風險控制是每筆交易僅損失5%的總資金，以更好地管理風險。
倍數 (槓桿)：此參數允許用戶設置槓桿倍數，用於計算最終所需的資金。
表格功能
指標的表格功能在圖表上顯示進場價位、止損點和建倉金額。表格顏色清晰對比，提供了簡明的交易數據概覽，使交易者能夠快速查看並根據當前市場情況做出風險控制決策。
交易量支撐效果
此指標在異常交易量倍數達到特定條件時會標示不同顏色，表現出強烈的市場關注度。當交易量出現突增或高於SMA交易量的情況時，往往顯示出支撐或阻力的信號。特別在價格頂部或底部時，這些異常交易量常會產生支撐效果，暗示該區域可能形成穩固的價格支撐或阻力。
這款指標適合希望嚴謹管理風險的交易者，適用於日內和長期策略，並能提供穩定的市場監控信息。
English Description
All-Market Monitor is a versatile indicator providing traders with comprehensive market insights, including price trends, moving averages, volume analysis, and risk management. This indicator supports multiple adjustable parameters, allowing traders to configure the settings for more adaptable trading strategies.
Parameter Descriptions:
SMA Length Settings: Configurable lengths for seven different SMAs (Simple Moving Averages) to provide trend information across various time frames.
Volume Multiplier: Sets the multiplier for trading volume to highlight unusual volume spikes. When volume conditions meet specified criteria, the candles change colors for easy recognition of significant market moves.
Lowest Low Period: Defines the period for calculating the lowest price line, which serves as a trailing take-profit level after entry. This support line helps traders secure profits in a trending market.
ATR Period and Multiplier: The ATR (Average True Range) is used to calculate a dynamic stop-loss level. Adjustable period and multiplier provide flexibility in setting stop levels based on market volatility.
Entry Price and Total USDT: Allows input of the intended entry price and total capital in USDT. The indicator calculates the required position size based on a risk management rule, where each trade is limited to a maximum loss of 5% of total capital.
Leverage: Users can set the leverage multiplier, which adjusts the final required USDT for entry.
Table Feature
The table feature provides an on-chart display of entry price, stop-loss level, and required position size, with distinct colors for easy reference. This layout delivers a clear summary of key trading metrics, enabling traders to make risk-adjusted decisions in real time.
Volume Support Effect
When unusual volume spikes meet specific criteria, the indicator highlights candles with distinct colors, representing heightened market interest. These volume spikes often indicate support or resistance levels, especially at price peaks or troughs, where high volume can signal potential support effects, indicating that prices may hold within these regions due to strong buying or selling interest.
This indicator is ideal for traders focused on rigorous risk management, suitable for both intraday and long-term strategies, offering reliable market monitoring insights.
MTFHTS with Moving Average Ribbon and Buy/Sell Signals 3.2Multi-Timeframe Moving Average Strategy with Buy and Sell Signals
Purpose
This strategy is designed to provide clear, data-driven buy and sell signals based on moving average crossovers across multiple timeframes. It aims to help traders identify potential trend reversals and entry/exit points using a systematic approach.
How it Works
Moving Averages Across Multiple Timeframes:
Five customizable moving averages (MA №1 to MA №5) are calculated using different lengths and types, including SMA, EMA, WMA, and VWMA, to suit various trading styles.
The MAs are plotted on different timeframes, allowing traders to visualize trend alignment and identify market momentum across short, medium, and long terms.
Signals for Buying and Selling:
Buy Signals: When the shorter-term MA (MA №1) crosses above a longer-term MA (MA №2 or MA №3), the strategy triggers a buy signal, indicating potential upward momentum.
Sell Signals: When MA №1 crosses below a longer-term MA (MA №2 or MA №3), a sell signal is triggered, suggesting potential downward movement.
Visual Aids and Alerts:
The strategy uses color fills between MAs to indicate bullish (green) or bearish (red) trends, helping traders assess market conditions at a glance.
Alerts for buy and sell signals keep traders notified in real-time, helping to avoid missed opportunities.
Important Note
This strategy is purely educational and does not constitute investment advice. It serves as a tool to help traders understand how multi-timeframe moving averages and crossovers can be used in technical analysis. As with any trading strategy, we recommend testing in a simulated environment and exercising caution.
VPA Volume Price AverageDescription:
This indicator displays a moving average of volume and its signal line in a separate pane, with conditional highlighting to help interpret buyer and seller pressure. It’s based on two main lines:
Volume Moving Average (red line) : represents the average volume calculated over a configurable number of periods.
Signal Line of the Volume Moving Average (blue line): this is an average of the volume moving average itself, used as a reference for volume trends.
Key Features
Volume Moving Average with Conditional Highlighting:
The volume moving average is plotted as a red line and changes color based on two specific conditions:
The closing price is above its moving average, calculated over a configurable number of periods, indicating a bullish trend.
The volume moving average is greater than the signal line, suggesting an increase in buyer pressure.
When both conditions are met, the volume moving average turns green. If one or both conditions are not met, the line remains red.
Signal Line of the Volume Moving Average:
The signal line is plotted in blue and represents a smoothed version of the volume moving average, useful for identifying long-term volume trends and as a reference for the highlighting condition.
Customizable Periods
The indicator allows you to set the periods for each average to adapt to different timeframes and desired sensitivity:
Period for calculating the volume moving average.
Period for calculating the signal line of the volume moving average.
Period for the price moving average (used in the highlighting condition).
How to Use
This indicator is especially useful for monitoring volume dynamics in detail, with a visual system that highlights conditions of increasing buyer strength when the price is in an uptrend. The green highlight on the volume moving average provides an intuitive signal for identifying potential moments of buyer support.
Try it to gain a clearer and more focused view of volume behavior relative to price movement!
Moving AveragesWhile this "Moving Averages" indicator may not revolutionize technical analysis, it certainly offers a valuable and efficient solution for traders seeking to streamline their chart analysis process. This all-in-one tool addresses a common frustration among traders: the need to constantly search for and compare different types and lengths of moving averages.
Key Features
The indicator allows for the configuration of up to 5 moving averages simultaneously, providing a comprehensive view of price trends. Users can choose from 7 types of moving averages for each line, including SMA, EMA, WMA, VWMA, HMA, SMMA, and TMA. This variety ensures that traders can apply their preferred moving average types without the need for multiple indicators.
Each moving average can be fully customized in terms of length, color, line style, and thickness, allowing for clear visual differentiation. However, what sets this indicator apart is its "Smart Opacity" feature. When activated, this option dynamically adjusts the transparency of the moving average lines based on their direction, with ascending lines appearing more opaque and descending lines more transparent. This subtle yet effective visual cue aids in quickly identifying trend changes and potential trading signals.
Advantages
The primary benefit of this indicator lies in its convenience. By consolidating multiple moving averages into a single, customizable tool, it saves traders valuable time and reduces chart clutter. The Smart Opacity feature, while not groundbreaking, does offer an intuitive way to visualize trend strength and direction at a glance.
Moreover, the indicator's flexibility makes it suitable for various trading styles and experience levels. Whether you're a novice trader learning to interpret basic trend signals or an experienced analyst fine-tuning a complex strategy, this tool can adapt to your needs.
In conclusion, while this "Moving Averages" indicator may not be a game-changer in the world of technical analysis, it represents a thoughtful refinement of a fundamental trading tool. By focusing on user convenience and visual clarity, it offers a practical solution for traders looking to optimize their chart analysis process and make more informed trading decisions.
DeNoised Momentum [OmegaTools]The DeNoised Momentum by OmegaTools is a versatile tool designed to help traders evaluate momentum, acceleration, and noise-reduction levels in price movements. Using advanced mathematical smoothing techniques, this script provides a "de-noised" view of momentum by applying filters to reduce market noise. This helps traders gain insights into the strength and direction of price trends without the distractions of market volatility. Key components include a DeNoised Moving Average (MA), a Momentum line, and Acceleration bars to identify trend shifts more clearly.
Features:
- Momentum Line: Measures the percentage change of the de-noised source price over a specified look-back period, providing insights into trend direction.
- Acceleration (Ret) Bars: Visualizes the rate of change of the source price, helping traders identify momentum shifts.
- Normal and DeNoised Moving Averages: Two moving averages, one based on close price (Normal MA) and the other on de-noised data (DeNoised MA), enable a comparison of smoothed trends versus typical price movements.
- DeNoised Price Data Plot: Displays the current de-noised price, color-coded to indicate the relationship between the Normal and DeNoised MAs, which highlights bullish or bearish conditions.
Script Inputs:
- Length (lnt): Sets the period for calculations (default: 21). It influences the sensitivity of the momentum and moving averages. Higher values will smooth the indicator further, while lower values increase sensitivity to price changes.
The Length does not change the formula of the DeNoised Price Data, it only affects the indicators calculated on it.
Indicator Components:
1. Momentum (Blue/Red Line):
- Calculated using the log of the percentage change over the specified period.
- Blue color indicates positive momentum; red indicates negative momentum.
2. Acceleration (Gray Columns):
- Measures the short-term rate of change in momentum, shown as semi-transparent gray columns.
3. Moving Averages:
- Normal MA (Purple): A standard simple moving average (SMA) based on the close price over the selected period.
- DeNoised MA (Gray): An SMA of the de-noised source, reducing the effect of market noise.
4. DeNoised Price Data:
- Represented as colored circles, with blue indicating that the Normal MA is above the DeNoised MA (bullish) and red indicating the opposite (bearish).
Usage Guide:
1. Trend Identification:
- Use the Momentum line to assess overall trend direction. Positive values indicate upward momentum, while negative values signal downward momentum.
- Compare the Normal and DeNoised MAs: when the Normal MA is above the DeNoised MA, it indicates a bullish trend, and vice versa for bearish trends.
2. Entry and Exit Signals:
- A change in the Momentum line's color from blue to red (or vice versa) may indicate potential entry or exit points.
- Observe the DeNoised Price Data circles for early signs of a trend reversal based on the interaction between the Normal and DeNoised MAs.
3. Volatility and Noise Reduction:
- By utilizing the DeNoised MA and de-noised price data, this indicator helps filter out minor fluctuations and focus on larger price movements, improving decision-making in volatile markets.
