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.
ממוצעים נעים
sangram RSI Candlesticks//@version=5
indicator('sangram RSI Candlesticks', shorttitle='sangram RSI', overlay=false)
// RSI Settings
rsiPeriod = input.int(40, title='RSI Period', minval=1)
rsiSource = close
rsiValue = ta.rsi(rsiSource, rsiPeriod)
// Toggle Visibility
showRSILine = input(true, title='Make the RSI Glow')
showAllMA = input(true, title="Show ALL Moving Averages")
showMA1 = input(true, title='Show Moving Average 1')
showMA2 = input(true, title='Show Moving Average 2')
showMA3 = input(true, title='Show Moving Average 3')
showMA4 = input(true, title='Show Moving Average 4')
showBars = input(true, title='Show RSI OHLC Bars')
maLength1 = input.int(9, title='MA Length 1')
maLength2 = input.int(15, title='MA Length 2')
maLength3 = input.int(30, title='MA Length 3')
maLength4 = input.int(50, title='MA Length 4')
// Calculate OHLC Values for RSI
rsiOpen = na(rsiValue ) ? rsiValue : rsiValue
rsiHigh = ta.highest(rsiValue, rsiPeriod)
rsiLow = ta.lowest(rsiValue, rsiPeriod)
// Define Colors
barUpColor = color.new(color.green, 0)
barDownColor = color.new(color.red, 0)
barColor = rsiOpen < rsiValue ? barUpColor : barDownColor
// Plot RSI OHLC Bars
plotcandle(showBars ? rsiOpen : na, rsiHigh, rsiLow, rsiValue, title="RSI OHLC", color=barColor, wickcolor=color.new(color.white, 100), bordercolor=barColor)
// Horizontal Lines
hline(70, "Oversold", color.new(color.red, 80), linewidth = 2, linestyle = hline.style_solid)
hline(70, "Oversold", color.new(color.red, 85), linewidth = 12, linestyle = hline.style_solid)
hline(70, "Oversold", color.new(color.red, 90), linewidth = 24, linestyle = hline.style_solid)
hline(70, "Oversold", color.new(color.red, 95), linewidth = 36, linestyle = hline.style_solid)
hline(50, "Mid", color=color.gray)
hline(30, "Oversold", color.new(color.green, 80), linewidth = 2, linestyle = hline.style_solid)
hline(30, "Oversold", color.new(color.green, 85), linewidth = 12, linestyle = hline.style_solid)
hline(30, "Oversold", color.new(color.green, 90), linewidth = 24, linestyle = hline.style_solid)
hline(30, "Oversold", color.new(color.green, 95), linewidth = 36, linestyle = hline.style_solid)
// Plot RSI Line
rsiColor1 = color.new(color.blue, 30)
rsiColor2 = color.new(color.blue, 80)
rsiColor3 = color.new(color.blue, 85)
plot(showRSILine ? rsiValue : na, title='RSI', color=rsiColor1, linewidth=2)
plot(showRSILine ? rsiValue : na, title='RSI', color=rsiColor2, linewidth=10)
plot(showRSILine ? rsiValue : na, title='RSI', color=rsiColor3, linewidth=16)
// Moving Average
maValue1 = ta.sma(rsiValue, maLength1)
maValue2 = ta.sma(rsiValue, maLength2)
maValue3 = ta.sma(rsiValue, maLength3)
maValue4 = ta.sma(rsiValue, maLength4)
plot(showAllMA and showMA1 ? maValue1 : na, title='MA 1', color=color.green)
plot(showAllMA and showMA2 ? maValue2 : na, title='MA 2', color=color.fuchsia)
plot(showAllMA and showMA3 ? maValue3 : na, title='MA 3', color=color.red)
plot(showAllMA and showMA4 ? maValue4 : na, title='MA 4', color=color.red)
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!
50MA ATR BANDSDescription: This indicator plots ATR bands around a 50-period EMA across multiple timeframes (15-minute, hourly, daily, weekly, and monthly). It offers traders a visual guide to potential price ranges using volatility-based calculations:
1.ATR Calculations: Based on selected timeframes for finer analysis.
2.EMA Calculations: 50-period EMA to track trend direction.
3.Customization: Line width, display mode (Auto/User-defined), and plot styles.
Usage: This tool helps identify potential support and resistance levels with ATR-based bands, making it a valuable addition to trend-following and volatility strategies.
RSI Divergence Indicator + 5EMABest Indicator for Price Action Traders.
RSI acting as Momentum Oscillator, 5EMA (8, 21, 55, 100, 200)
OTI-Options Trading IndicatorThis Pine Script strategy, "Enhanced Multiple Indicators Strategy (EMIS)," utilizes multiple technical indicators to generate trade signals. The strategy combines signals from moving averages, RSI, MACD, Bollinger Bands, Stochastic Oscillator, and ATR to evaluate market conditions and make informed trading decisions. This approach aims to capture strong buy and sell signals by aggregating the insights of these indicators into a scoring system, which helps filter out weaker signals and identify high-probability trades.
Indicators Used:
Simple Moving Average (SMA):
Measures the average closing price over a specified period (MA Length) to assess trend direction.
Relative Strength Index (RSI):
An oscillator that identifies overbought and oversold conditions based on RSI Length.
Overbought level is set at 70, and oversold level at 30.
Moving Average Convergence Divergence (MACD):
MACD line and Signal line are used for crossover signals, indicating potential momentum shifts.
Configured with MACD Fast Length, MACD Slow Length, and MACD Signal Length.
Bollinger Bands (BB):
This indicator uses a moving average and standard deviation to set upper and lower bands.
Upper and lower bands help indicate volatility and potential reversal zones.
Stochastic Oscillator:
Measures the position of the close relative to the high-low range over a specified period.
Uses a Stoch Length to determine trend momentum and reversal points.
Average True Range (ATR):
Measures volatility over a specified period to indicate potential breakouts and trend strength.
ATR Length determines the range for the current market.
Score Calculation:
Each indicator contributes a score based on its current signal:
Moving Average (MA): If the price is above the MA, it adds +5; otherwise, -5.
RSI: +10 if oversold, -10 if overbought, and 0 if neutral.
MACD: +5 for a bullish crossover, -5 for a bearish crossover.
Bollinger Bands: +5 if below the lower band, -5 if above the upper band, and 0 if within bands.
Stochastic: +5 if %K > %D (bullish), -5 if %K < %D (bearish).
ATR: Adjusted to detect increased volatility (e.g., recent close above previous close plus ATR).
The final score is a combination of these scores:
If the score is between 5 and 10, a Buy order is triggered.
If the score is between -5 and -10, the position is closed.
Usage Notes:
Adjust indicator lengths and levels to fit specific markets.
Back test this strategy on different timeframes to optimize results.
This script can be a foundation for more complex trading systems by tweaking scoring methods and indicator parameters.
Please Communicate Your Trading Results And Back Testing Score On-
manjunath0honmore@gmail.com
Tele-@tbmlh
EMA Ribbon with TimeframeThis indicator draws 20 Ema Ribbons in the selected range (start-End) to provide visual clarity to the standard "Ema Ribbon" indicators.
Options:
- You can see the transitions between the main periods with Show / Hide the Ribbon.
- Timeframe: You can see the strength of the turns more clearly by choosing different timeframes (Short-Long).
Jurik / HMA with Ribbon
**Jurik / HMA with Ribbon**
This script combines the Jurik Moving Average (JMA), Exponential Moving Average (EMA), and Hull Moving Average (HMA) to provide a comprehensive trend-following tool with a visual ribbon background. Each of these moving averages is tuned for a unique view of market trends, and the script highlights potential momentum changes based on the alignment of these averages.
### Key Components:
1. **Jurik Moving Average (JMA)**:
- JMA is a smooth, adaptive moving average that filters out noise while remaining responsive to price changes.
- The script allows customization of JMA's `length`, `phase`, and `power` parameters to suit different trading styles.
- When the JMA turns from red to green (or vice versa), it indicates a potential momentum shift based on the current price action relative to the previous bar.
2. **Exponential Moving Average (EMA)** and **Hull Moving Average (HMA)**:
- Both EMA and HMA are popular moving averages in technical analysis.
- EMA responds more quickly to recent price changes, while HMA is known for smoothing out price data while reducing lag.
- The `length` for both EMA and HMA can be customized, with a default value of 15.
3. **Ribbon Background**:
- This script creates a "ribbon" effect in the background, highlighting when the JMA is above or below both the EMA and HMA:
- **Green Ribbon**: Indicates a potential bullish trend when JMA is above both EMA and HMA.
- **Red Ribbon**: Indicates a potential bearish trend when JMA is below both EMA and HMA.
- The ribbon provides a clear visual cue, making it easy to identify trend changes at a glance.
### Inputs:
- **JMA Length, Phase, and Power**: Parameters to fine-tune the behavior of the Jurik Moving Average.
- **EMA/HMA Length**: Shared length parameter for both the EMA and HMA, with a default of 15.
- **Highlight Movements**: Option to enable/disable color changes for the JMA based on movement direction.
### Plotting:
- The script plots the JMA, EMA, and HMA lines on the chart, color-coded for easy identification.
- The JMA line changes color based on movement direction, with green for upward movements and red for downward.
- EMA and HMA lines are shown in blue and purple, respectively, for added clarity.
### How to Use:
This indicator can be useful for identifying trend direction and strength:
- When all three moving averages (JMA, EMA, and HMA) align with the same direction and the ribbon color matches, it signals a strong trend.
- This script is ideal for trend-following strategies, as well as for identifying potential reversals when the JMA crosses below or above the EMA/HMA.
### Note:
As always, this indicator should be used alongside other tools or analysis techniques to confirm signals and manage risk effectively.
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This description should help users understand the functionality and purpose of the script when they see it on TradingView. Let me know if you'd like any further customization!
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.
SMA DeluxeIndicatore SMA 40 con Idee di Ingresso, Uscita e Stop Loss
Questo indicatore sfrutta la media mobile semplice (SMA) a 40 periodi per identificare potenziali punti di ingresso e uscita basati sul movimento del prezzo. Quando il prezzo attraversa la SMA dall'alto verso il basso o viceversa, viene visualizzata un’etichetta "ENTRY" per segnalare un possibile punto di ingresso. Successivamente, un’etichetta "EXIT" appare automaticamente 5 barre dopo l’ingresso per indicare un potenziale punto di uscita.
Inoltre, l'indicatore traccia una linea di stop loss dinamica per ogni posizione, supportando la gestione del rischio visiva e aiutando a definire livelli di protezione in modo intuitivo.
Nota Importante: Questo strumento non costituisce un consiglio finanziario e non deve essere utilizzato come unico strumento di trading. È consigliato abbinarlo ad altre analisi tecniche per confermare i segnali ricevuti. Per ottimizzare l'efficacia, si suggerisce di operare su timeframe da 4 ore in su e con un grafico a linea. È preferibile utilizzarlo in mercati in trend piuttosto che in mercati consolidati, in quanto i segnali tendono ad essere più affidabili in fasi di movimento direzionale del mercato.
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.
X MASTER 4hrs Swing Strategy for BTCUSDT.P
The "X MASTER 4hrs Swing" is a trading strategy specifically designed for BTCUSDT on the 4-hour chart. Created to help traders capture swing movements, this strategy generates buy and sell signals based on strategic retracement levels, designed to identify optimal entry points in both upward and downward trends.
Key features include:
Buy and Sell Signals: The strategy plots clear green and red triangles on the chart, marking buy and sell signals based on retracement patterns.
Customizable Quality Trades: Users can enable "Quality Setups Only" to filter trades for high-probability setups or disable it to see all trade opportunities.
Adjustable Take Profit (TP) and Stop Loss (SL) Levels: The strategy provides flexible settings for TP and SL percentages, with options for fixed, trailing, or candle-based stop losses to suit different risk management preferences.
Market Awareness: Designed to adapt based on specific market conditions, ensuring that the strategy remains responsive across market phases.
With alerts for both buy and sell signals, this strategy enables seamless monitoring and provides confidence for trading BTCUSDT swings on the 4-hour chart. Ideal for traders looking for a structured, retracement-based approach to trading.
MagmaaBulls TrendlinesHello Everyone! This is my new trend lines script
The idea is to find Pivot Highs (PH) and Pivot Lows(PL).
Then, If current PH is smaller then previous PH (means no new higher high and possible downtrend) then draw trend line using them. and also it checks previous trend line (if exits) and if current angle is smaller then don't extend previous one.
SANKET INTRADAYThis Pine Script displays six exponential moving averages (EMAs) for periods of 5, 10, 20, 50, 100, and 200 on a TradingView chart. Each EMA line changes color: green when the current price is above the EMA and red when it’s below. The EMAs use different line widths to visually distinguish each period.
MSD macd strategythis just sample of our strategies we published with open source, to learning our investor the way of trading and analysis, this strategy just for study and learning
in this strategy we use expontial moving avarage 200 and MACD < we build this strategy depend on a cross between fast line and slow line in macd and price should be up or down ema
we try this strategy on forex ,crypto and futures and it give us very good result ,, also we try this position on multi time frame we find the strategy give us good result on 1 hour time frame .
in the end our advice for you before you use any strategy you should have the knowledge of the indicators how it is work and also you should have information about the market you trade and the last news for this market beacuse it effect so much on the price moving .
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!
Trend Checker by GPThe Trend Checker indicator provides trend confirmation by combining the Central Pivot Range (CPR) with a Simple Moving Average (SMA).
This dual-layered approach helps traders confirm the prevailing trend and identify potential trend reversals.
Here’s a breakdown of its components:
The CPR (Central Pivot Range) Indicator is a versatile and powerful tool developed to provide traders with a deep understanding of the market's pivot levels and trend directions across multiple timeframes. This indicator goes beyond standard CPR functionalities by offering comprehensive insights into daily, weekly, monthly, and yearly pivot levels, which are crucial for understanding market sentiment and potential price action zones.
Key Features:
1. Multi-Timeframe CPR Values: The indicator calculates and displays the CPR levels for daily, weekly, monthly, and yearly timeframes. This allows traders to see how the market is positioned over different periods and helps them make more strategic decisions based on long-term and short-term price trends.
2. Extended Support and Resistance Levels: In addition to showing the primary CPR levels, the indicator plots extended support (S1 to S4) and resistance (R1 to R4) levels. This comprehensive range gives traders clear points of interest where price reversals or continuations may occur, facilitating better risk management and entry/exit strategies.
3. Multi-Timeframe Moving Averages: The indicator includes the capability to plot moving averages from multiple timeframes on a single chart. This feature provides a unique way for traders to observe how the market trend behaves across different periods, such as 5-minute, hourly, daily, or weekly moving averages, ensuring that traders are equipped with a full view of price momentum.
4. Customizable and Flexible: The indicator offers various customization options, including selecting specific timeframes for moving averages, adjusting color schemes, and choosing which pivot levels to display. This flexibility helps traders tailor the tool according to their unique trading style and strategy.
5. Clear Visualization: The CPR indicator is designed to present data in an easy-to-understand format with distinct lines and labels for each level. This helps traders quickly identify important pivot points and interpret market direction without any confusion.
6. Enhanced Market Analysis: By integrating CPR values with multi-timeframe moving averages, the indicator provides a robust analysis of trend alignment and potential confluences. This combination can indicate whether the market is in a strong trend, potential reversal zone, or sideways phase.
How It Works:
Uptrend Confirmation: Price above both the CPR and SMA indicates a strong uptrend. The Trend Checker will highlight this trend, giving confidence for long positions.
Downtrend Confirmation: Price below both the CPR and SMA signifies a downtrend, making it ideal for short positions.
Trend Reversal or Weakening: When the price crosses either the CPR or SMA, it signals potential weakening or a shift in trend.
This combination of CPR and SMA creates a robust trend confirmation system that helps traders improve decision-making by clarifying the trend's strength and direction.
Benefits for Traders:
Strategic Planning: The clear view of daily, weekly, monthly, and yearly CPR levels, combined with support and resistance lines, helps traders plan trades around potential breakout or bounce points.
Improved Risk Management: With precise levels from R1 to R4 and S1 to S4, traders can better manage risk by setting stop losses and take profits around these strategic points.
Trend Confirmation: The multi-timeframe moving averages allow traders to confirm the strength and alignment of trends across different periods, providing confidence in their trading decisions.
Practical Use Cases:
Intraday Trading: Identify key daily and weekly CPR levels for potential day trades and scalp entries.
Swing Trading: Use monthly and yearly CPR values to align with longer-term market trends and position trades accordingly.
Trend Reversals: Spot potential reversal zones when price approaches extended support or resistance levels beyond the central range.
Confluence Detection: Combine moving averages with pivot levels to spot areas of confluence that may indicate strong support or resistance zones.
Overall, this CPR Indicator is an essential tool for traders seeking an all-in-one solution to monitor pivot levels, support and resistance zones, and multi-timeframe moving averages. It simplifies the process of analyzing market trends, enhances the decision-making process, and equips traders with the insights needed to navigate the market confidently and effectively.
DeFI Hungaty Master Indicator [Strategy]As my community at https//www.defihungary.com suggested I created this strategy that we use.
Here is the description:
The Master Indicator is a comprehensive trading strategy designed to provide unique insights into market trends and reversals, with features that blend innovative calculations and adaptive conditions for both long and short positions. It incorporates custom indicators, dynamic stop-loss and take-profit settings, and a flexible timeframe selection to fit various trading styles. Here's a breakdown of the core functionalities and how they make this strategy distinctive:
1. Unique Trend Detection Mechanism
This indicator uses a Smooth Average Range Filter (SMMA) combined with Heiken Ashi (HA) candlesticks to reduce market noise and better capture trend direction. By calculating the smooth moving range (SMRNG), the indicator can detect price range shifts that hint at new trends or the continuation of existing ones.
Unlike standard moving averages or other trend indicators, the Master Indicator utilizes a unique range-filtered approach. This approach adds a layer of volatility filtering, which helps traders avoid false signals in choppy or sideways markets, making it particularly valuable in unpredictable markets.
2. Adaptive Entry and Exit Conditions
SMMA Crossovers: The Master Indicator leverages SMMA (Smoothed Moving Average) crossovers between the open and close prices to identify precise entry and exit points. This adaptive method of entry and exit, based on smoother averages, makes it more resilient against false signals in trending markets.
User-Defined Stop-Loss and Take-Profit: The strategy includes configurable stop-loss and take-profit options that adapt to each trade's entry price. These options help traders manage their risk and secure profits by setting dynamic thresholds.
Additionally, traders can adjust these levels according to their risk tolerance, from conservative to aggressive.
3. Flexible Date-Based Backtesting
The indicator allows users to set specific date ranges for backtesting using “From” and “To” inputs. This function is ideal for traders looking to evaluate the strategy’s performance over distinct market periods (e.g., bull, bear, or sideway markets).
By fine-tuning the backtesting period, traders can determine how well the strategy performs across various market conditions, making it a versatile tool for both intraday and swing traders.
4. Detailed and Intuitive Chart Visualizations
The strategy’s visual outputs include clearly marked Buy and Sell signals that are plotted as shapes above or below the bars, helping traders quickly identify entry and exit opportunities.
The chart also displays supportive SMMA lines that adapt dynamically based on market conditions, with separate SMMA lines for the open and close. These lines provide an intuitive visual representation of the market trend direction.
Additional target bands (high and low bands around the filtered price) offer traders insight into potential support and resistance levels, helping to validate trade entries and exits.
www.defihungary.com
5. Practical Application and Market Adaptability
This strategy is designed for a variety of asset classes (e.g., stocks, forex, crypto) and timeframes, from intraday to longer-term trends. The SMMA and range-filtered approaches are particularly effective in volatile markets, as they help to smooth out price action while maintaining responsiveness to genuine price trends.
The indicator is suitable for traders who want a single, all-in-one solution that provides trend detection, entry signals, and risk management. By adjusting the Range Multiplier and Sampling Period, users can optimize the strategy to fit different assets and trading styles.
Max Jamm v3.33 EMA + BollingerMax Jamm v3.33 + EMA + Bollinger is a sophisticated indicator designed to combine multiple moving averages (EMA and MA) and a Bollinger Band strategy, with adjustable parameters for customized trading. This tool provides real-time buy and sell signals, ensuring traders can capture optimal market entries and exits without repetitive signals. Key features include:
Adjustable Moving Averages (EMA and MA): Set specific periods and colors for each EMA/MA to fit your strategy.
Bollinger Bands: Monitor volatility and potential reversal zones with customizable band settings.
Non-repetitive Buy/Sell Signals: Only one signal per trend direction, reducing noise.
Fibonacci-Based Periods: Designed with Fibonacci numbers for the moving averages, enhancing the relevance for trend-following strategies.
Whether you’re a seasoned trader or a beginner, Max Jam v3.33 can enhance your chart analysis and improve your decision-making in volatile markets.
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Max Jamm v3.33 + EMA+Bollinger Max , birden fazla hareketli ortalama (EMA ve MA) ve Bollinger Band stratejisini birleştirmek için tasarlanmış gelişmiş bir göstergedir. Ayarlanabilir parametreleri sayesinde kullanıcılar, ticaret stratejilerini kişiselleştirebilir. Bu araç, tekrarlanmayan alım ve satım sinyalleri sağlayarak piyasa giriş ve çıkışlarını en iyi şekilde yakalamanıza yardımcı olur. Ana özellikler:
Ayarlanabilir Hareketli Ortalamalar (EMA ve MA): Stratejinize uygun periyot ve renkleri belirleyin.
