Hodrick-Prescott Filter Cycle Component (YavuzAkbay)By distinguishing between trend and cyclical components, the HP Filter Cycle Component is an indicator that analyses price movements using a condensed form of the Hodrick-Prescott (HP) filter. In order to smooth out the trend from the price data and display the resulting cycle in a separate window, this script uses an approximate HP filter.
Trend Extraction: Using a programmable smoothness parameter (λ), the HP filter eliminates long-term patterns from the price series. Short-term swings are separated from the underlying price trend using this filter.
Cycle Component: The price-trend cyclical component shows possible cyclical highs and lows by capturing the price deviation around the smoothed trend line.
Important Notes:
The choice of lambda is essential. Recommended lambda levels are 100, 1600 and 14,400.
This indicator will be much more useful if it is used together with another indicator of mine, HP Filter Cycle Component.
Trading is risky, and most traders lose money. The indicators Yavuz Akbay offers are for informational and educational purposes only. All content should be considered hypothetical, selected after the facts to demonstrate my product, and not constructed as financial advice. Decisions to buy, sell, hold, or trade in securities, commodities, and other investments involve risk and are best made based on the advice of qualified financial professionals. Past performance does not guarantee future results.
This indicator is experimental and will always remain experimental. The indicator will be updated by Yavuz Akbay according to market conditions.
المؤشرات والاستراتيجيات
SMA- Ashish SinghSMA
This script implements a Simple Moving Average (SMA) crossover strategy using three SMAs: 200-day, 50-day, and 20-day, with buy and sell signals triggered based on specific conditions involving these moving averages. The indicator is overlaid on the price chart, providing visual cues for potential buy and sell opportunities based on moving average crossovers.
Key Features:
Moving Averages:
The 200-day, 50-day, and 20-day SMAs are calculated and plotted on the price chart. These are key levels that traders use to assess trends.
The 200-day SMA represents the long-term trend, the 50-day SMA is used for medium-term trends, and the 20-day SMA is for short-term analysis.
Buy Signal:
A buy signal is triggered when the price is below all three moving averages (200 SMA, 50 SMA, 20 SMA) and the SMAs are in a specific downward trend (200 SMA > 50 SMA > 20 SMA). This is an indication of a potential upward reversal.
The buy signal is marked with a green triangle below the price bar.
Sell Signal:
A sell signal is triggered when the price is above all three moving averages and the SMAs are in a specific upward trend (200 SMA < 50 SMA < 20 SMA). This signals a potential downward reversal.
The sell signal is marked with a red triangle above the price bar.
Trade Information:
After a buy signal, the buy price, bar index, and timestamp are recorded. When a sell signal occurs, the percentage gain or loss is calculated along with the number of days between the buy and sell signals.
The script automatically displays a label on the chart showing the gain or loss percentage along with the number of days the trade lasted. Green labels represent gains, and red labels represent losses.
User-friendly Visuals:
The buy and sell signals are plotted as small triangles directly on the chart for easy identification.
Detailed trade information is provided with well-formatted labels to highlight the profit or loss after each trade.
How It Works:
This strategy helps traders to identify trend reversals by leveraging long-term and short-term moving averages.
A single buy or sell signal is triggered based on price movement relative to the SMAs and their order.
The tool is designed to help traders quickly spot buying and selling opportunities with clear visual indicators and gain/loss metrics.
This indicator is ideal for traders looking to implement a systematic SMA-based strategy with well-defined buy/sell points and automatic performance tracking for each trade.
Disclaimer: The information provided here is for educational and informational purposes only. It is not intended as financial advice or as a recommendation to buy or sell any stocks. Please conduct your own research or consult a financial advisor before making any investment decisions. ProfitLens does not guarantee the accuracy, completeness, or reliability of any information presented.
5 MA Cross SignalСкользящие средние (МА): Каждая из пяти МА рассчитывается с использованием ta.sma с соответствующим периодом (9, 21, 50, 100, и 200).
Условия покупки и продажи:
Сигнал на покупку возникает, когда каждая последующая МА с меньшим периодом выше МА с более длинным периодом (MA9 > MA21 > MA50 > MA100 > MA200).
Сигнал на продажу возникает, когда каждая МА с меньшим периодом ниже МА с более длинным периодом.
Отображение сигналов на графике: Когда выполняются условия для покупки или продажи, на графике появляются соответствующие стрелки и метки "BUY" или "SELL".
Линии МА: Линии МА с разными цветами для удобства.
15 MIN_1ST BUY RG C+/-2O_SELL_GR C+/-2Obuy sell based on 1st 15 m,in breakout on daily basis.
onty trade in ist signal generated and if subsequent candle break the range of signal generated side.
Economic Profit (YavuzAkbay)The Economic Profit Indicator is a Pine Script™ tool for assessing a company’s economic profit based on key financial metrics like Return on Invested Capital (ROIC) and Weighted Average Cost of Capital (WACC). This indicator is designed to give traders a more accurate understanding of risk-adjusted returns.
Features
Customizable inputs for Risk-Free Rate and Corporate Tax Rate assets for people who are trading in other countries.
Calculates Economic Profit based on ROIC and WACC, with values shown as both plots and in an on-screen table.
Provides detailed breakdowns of all key calculations, enabling deeper insights into financial performance.
How to Use
Open the stock to be analyzed. In the settings, enter the risk-free asset (usually a 10-year bond) of the country where the company to be analyzed is located. Then enter the corporate tax of the country (USCTR for the USA, DECTR for Germany). Then enter the average return of the index the stock is in. I prefer 10% (0.10) for the SP500, different rates can be entered for different indices. Finally, the beta of the stock is entered. In future versions I will automatically pull beta and index returns, but in order to publish the indicator a bit earlier, I have left it entirely up to the investor.
How to Interpret
We see 3 pieces of data on the indicator. The dark blue one is ROIC, the dark orange one is WACC and the light blue line represents the difference between WACC and ROIC.
In a scenario where both ROIC and WACC are negative, if ROIC is lower than WACC, the share is at a complete economic loss.
In a scenario where both ROIC and WACC are negative, if ROIC has started to rise above WACC and is moving towards positive, the share is still in an economic loss but tending towards profit.
A scenario where ROIC is positive and WACC is negative is the most natural scenario for a company. In this scenario, we know that the company is doing well by a gradually increasing ROIC and a stable WACC.
In addition, if the ROIC and WACC difference line goes above 0, the company is now economically in net profit. This is the best scenario for a company.
My own investment strategy as a developer of the code is to look for the moment when ROIC is greater than WACC when ROIC and WACC are negative. At that point the stock is the best time to invest.
Trading is risky, and most traders lose money. The indicators Yavuz Akbay offers are for informational and educational purposes only. All content should be considered hypothetical, selected after the facts to demonstrate my product, and not constructed as financial advice. Decisions to buy, sell, hold, or trade in securities, commodities, and other investments involve risk and are best made based on the advice of qualified financial professionals. Past performance does not guarantee future results.
This indicator is experimental and will always remain experimental. The indicator will be updated by Yavuz Akbay according to market conditions.
ESEA LE THANH HIEPĐây là chỉ báo kết hợp có tên là ESEA LE THANH HIEP, nó được lồng ghép bởi các chỉ báo RSI 14 + EMA 9 + WMA 45 giúp chúng ta có cái nhìn trực quan trong giao dịch.
STDEMA Z-ScoreSTDEMA Z-Score Indicator
Overview
The STDEMA Z-Score Indicator provides a statistical approach to understanding price movements relative to its trend, using the Standard Deviation Exponential Moving Average (StdEMA) and Z-Score calculations.
Key Features
Z-Score Calculation: The Z-Score measures how far the current price deviates from its StdEMA, providing insight into whether the price is statistically overbought or oversold.
EMA of Z-Score: This smooths the Z-Score for easier interpretation and signals potential reversals or continuation patterns.
Customizable Inputs: Users can easily adjust the EMA length, standard deviation multiplier, and smoothing length to fit their trading style and market conditions.
How to Use
Buy Signals: Look for the Z-Score EMA to cross above the 0 line, indicating potential bullish momentum.
Sell Signals: Watch for the Z-Score EMA to cross below the 0 line, suggesting potential bearish momentum.
Gap Finder with Box FillSetup and Inputs
The indicator checks the current and previous candles to find gaps, using a color input for filling the gap area on the chart.
Gap Detection:
If the current candle opens higher than the previous close and doesn’t overlap with the previous candle’s range, it marks this as a gap-up.
If the current candle opens lower than the previous close without overlap, it’s marked as a gap-down.
Drawing the Gap:
When a gap-up or gap-down is found, the script draws a box from the previous close to the current candle’s low or high, filling it with the chosen color.
Benefits
Visual Aid: The filled box highlights gaps, making them easy to spot on the chart.
Trade Signals: Gaps can show strong market moves, helping traders spot potential entries or watch for reversals.
Customizable: You can adjust the color to fit your chart style, making the gaps stand out clearly.
This simple tool gives traders a quick view of gaps, which are often key points of interest in technical analysis.
NYSE Divergence & Market BreadthTO BE USED ON THE 1' CHART
!! The underlying instrument must be either ES1!, ES2!, ES or MES individual contract !!
!! The indicator uses the underlying asset to calculate the TICK divergences !!
Plots the NYSE tick in relation to the /es to identify divergences.
Plots the NYSE market breadth at the market open.
Plots the NYSE market breadth throughout the day.
Visit eminiaddict.com to learn how to use it in your trading.
[H2N] Indicator tableAdded upper/lower band for RSI and CCI (Overbought/Oversold).
Added new indicator STOCH and DMI (ADX)
Long/Short Cointegration Z-ScoreThis indicator helps identify potential long and short trading opportunities between two correlated assets by calculating their Z-Score. It measures the spread between two assets (e.g., AAPL and MSFT) and applies a Z-Score threshold to highlight potential mean reversion signals. When the Z-Score crosses above the upper threshold, the assets may be overextended, indicating a short signal. When the Z-Score crosses below the lower threshold, a long signal may be implied.
Basic RSI Strategy with MFI Description: This Pine Script is a custom trading strategy that combines the power of the RSI (Relative Strength Index) and MFI (Money Flow Index) indicators with additional signal filters and a user-friendly dashboard. The strategy is designed to identify potential entry and exit points based on dynamic conditions, providing an advanced approach to technical analysis and decision-making in trading.
Key Features:
RSI-Based Signals:
Generates buy signals when the RSI-based moving average crosses above specific thresholds (29 and 50).
Generates sell signals when the RSI-based moving average crosses below specific thresholds (50 and 69).
MFI Filtering:
Signals are validated only if the MFI value is within the specified range of 20 to 80, ensuring that signals are generated only when market conditions are favorable.
Dynamic Signal Thresholds:
The script includes adjustable thresholds for the percentage difference between consecutive bars, as well as the range between high and low prices, to refine signal accuracy.
Dashboard:
Displays real-time statistics in the top right corner of the chart, including the total number of signals, the count of buy and sell signals, and the time duration over which these signals were generated.
How to Use:
Settings: Customize the RSI and MFI lengths, along with thresholds for price movement and MFI range. This flexibility allows the strategy to be tailored to different market conditions and timeframes.
Dashboard Insight: Track the strategy's performance in real-time, with an intuitive overview of generated signals and their time distribution on the chart.
Ideal For:
This script is suitable for traders seeking a robust, customizable, and real-time signal generation strategy that combines momentum and volume indicators. The strategy’s unique filtering mechanism provides a higher level of precision, making it an excellent tool for those who prioritize signal accuracy and clarity.
buy and sell new 2025To determine the entry and exit points in TradingView using advanced techniques, you can use various tools and indicators. Below is a suggested combination method for entry and exit points:
1. Use of technical indicators
Moving Averages:
Simple Moving Average (SMA) or Exponential Moving Average (EMA) can act as support and resistance points.
You can use two moving averages (eg 50-day and 200-day). When the short-term SMA crosses the long-term SMA, a buy signal is generated and vice versa, a sell signal is generated.
RSI (Relative Strength Index):
RSI is one of the popular indicators for identifying entry and exit points.
An RSI above 70 can indicate overbought and below 30 indicates oversold.
2. Key points of support and resistance
Identify key levels: Determine support and resistance levels using trend lines or past key points.
Entering trades near support levels and exiting near resistance levels can be an effective strategy.
3. Using candlesticks
Candlestick Patterns: Patterns like Engulfing, Hammer, and Doji can act as entry or exit signals.
In Trading View, you can identify these patterns and pay attention to them.
Power Root SuperTrend [AlgoAlpha]// This Pine Script™ code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org
// © AlgoAlpha
//@version=5
indicator("Power Root SuperTrend ", "AlgoAlpha - Power Root", true, max_lines_count = 500)
import TradingView/ta/8
atrMult = input.float(4.5, "Factor")
atrlen = input.int(12, "ATR Length")
rsmlen = input.int(3, "Root-Mean-Square Length")
tplen = input.int(14, "RSI Take-Profit Length")
green = input.color(#00ffbb, "Bullish Color", group = "Appearance")
red = input.color(#ff1100, "Bearish Color", group = "Appearance")
// SuperTrend Function
superTrendCalc(multiplier, atrLength, source) =>
atrValue1 = ta.atr(atrLength)
upperLevel = source + multiplier * atrValue1
lowerLevel = source - multiplier * atrValue1
previousLowerLevel = nz(lowerLevel )
previousUpperLevel = nz(upperLevel )
// Ensure continuity of lower and upper bands
lowerLevel := lowerLevel > previousLowerLevel or source < previousLowerLevel ? lowerLevel : previousLowerLevel
upperLevel := upperLevel < previousUpperLevel or source > previousUpperLevel ? upperLevel : previousUpperLevel
// Determine direction and SuperTrend
int trendDirection = na
float trendValue = na
previousTrend = trendValue
// Initialize direction
if na(atrValue1 )
trendDirection := 1
else if previousTrend == previousUpperLevel
trendDirection := source > upperLevel ? -1 : 1
else
trendDirection := source < lowerLevel ? 1 : -1
// Set SuperTrend value based on direction
trendValue := trendDirection == -1 ? lowerLevel : upperLevel
= superTrendCalc(atrMult, atrlen, ta.rms(close, rsmlen))
dist = math.abs(close-superTrendValue)
var chg = 0.0
var tp1 = 0.0
var tp2 = 0.0
var tp3 = 0.0
var tp4 = 0.0
var tp5 = 0.0
var tp6 = 0.0
var tp7 = 0.0
lvlCol = trendDirection > 0 ? red : green
var keys = array.new_line()
var printedtp1 = 0
var printedtp2 = 0
var printedtp3 = 0
var printedtp4 = 0
var printedtp5 = 0
var printedtp6 = 0
var printedtp7 = 0
if ta.cross(trendDirection, 0)
keys.clear()
printedtp1 := 0
printedtp2 := 0
printedtp3 := 0
printedtp4 := 0
printedtp5 := 0
printedtp6 := 0
printedtp7 := 0
chg := math.abs(superTrendValue-superTrendValue )
tp1 := superTrendValue + (trendDirection > 0 ? -chg : chg)
tp2 := superTrendValue + (trendDirection > 0 ? -chg * 2 : chg * 2)
tp3 := superTrendValue + (trendDirection > 0 ? -chg * 3 : chg * 3)
tp4 := superTrendValue + (trendDirection > 0 ? -chg * 4 : chg * 4)
tp5 := superTrendValue + (trendDirection > 0 ? -chg * 5 : chg * 5)
tp6 := superTrendValue + (trendDirection > 0 ? -chg * 6 : chg * 6)
tp7 := superTrendValue + (trendDirection > 0 ? -chg * 7 : chg * 7)
keys.push(line.new(bar_index , tp1, bar_index, tp1, color = lvlCol, width = 2))
printedtp1 := 1
tp = ta.crossunder(ta.rsi(dist, tplen), 60)
extreme = trendDirection > 0 ? low : high
extreme_tp1_dist = math.abs(extreme - tp1)
extreme_tp2_dist = math.abs(extreme - tp2)
extreme_tp3_dist = math.abs(extreme - tp3)
extreme_tp4_dist = math.abs(extreme - tp4)
extreme_tp5_dist = math.abs(extreme - tp5)
extreme_tp6_dist = math.abs(extreme - tp6)
extreme_tp7_dist = math.abs(extreme - tp7)
p = plot(superTrendValue, color = trendDirection > 0 ? color.new(red, 70) : color.new(green, 70))
upTrend = plot(close > superTrendValue ? superTrendValue : na, color = color.new(green, 70), style = plot.style_linebr) //, force_overlay = true
downTrend = plot(close < superTrendValue ? superTrendValue : na, color = color.new(red, 70), style = plot.style_linebr, force_overlay = false) //, force_overlay = true
bodyMiddle = plot(barstate.isfirst ? na : (open + close) / 2, "Body Middle",display = display.none)
fill(bodyMiddle, upTrend, (open + close) / 2, superTrendValue, color.new(green, 95), color.new(green, 70))
fill(bodyMiddle, downTrend, superTrendValue, (open + close) / 2, color.new(red, 70), color.new(red, 95))
plotchar(tp and trendDirection > 0, "RSI-Based Shorts TP", "X", location.belowbar, red, size = size.tiny)
plotchar(tp and trendDirection < 0, "RSI-Based Longs TP", "X", location.abovebar, green, size = size.tiny)
if printedtp2 == 0 and extreme_tp2_dist < extreme_tp1_dist
keys.push(line.new(bar_index , tp2, bar_index, tp2, color = lvlCol, width = 2))
printedtp2 := 1
if printedtp3 == 0 and extreme_tp3_dist < extreme_tp2_dist
keys.push(line.new(bar_index , tp3, bar_index, tp3, color = lvlCol, width = 2))
printedtp3 := 1
if printedtp4 == 0 and extreme_tp4_dist < extreme_tp3_dist
keys.push(line.new(bar_index , tp4, bar_index, tp4, color = lvlCol, width = 2))
printedtp4 := 1
if printedtp5 == 0 and extreme_tp5_dist < extreme_tp4_dist
keys.push(line.new(bar_index , tp5, bar_index, tp5, color = lvlCol, width = 2))
printedtp5 := 1
if printedtp6 == 0 and extreme_tp6_dist < extreme_tp5_dist
keys.push(line.new(bar_index , tp6, bar_index, tp6, color = lvlCol, width = 2))
printedtp6 := 1
if printedtp7 == 0 and extreme_tp7_dist < extreme_tp6_dist
keys.push(line.new(bar_index , tp7, bar_index, tp7, color = lvlCol, width = 2))
printedtp7 := 1
if keys.size() > 0
aSZ = keys.size()
for i = aSZ - 1 to 0
keys.get(i).set_x2(bar_index)
// Alert when SuperTrend changes direction
alertcondition(ta.cross(trendDirection, 0), title="SuperTrend Direction Change", message="SuperTrend has changed direction")
// Alert when each TP line is drawn
alertcondition(printedtp1 == 1, title="TP1 Line Drawn", message="TP1 line has been drawn")
alertcondition(printedtp2 == 1, title="TP2 Line Drawn", message="TP2 line has been drawn")
alertcondition(printedtp3 == 1, title="TP3 Line Drawn", message="TP3 line has been drawn")
alertcondition(printedtp4 == 1, title="TP4 Line Drawn", message="TP4 line has been drawn")
alertcondition(printedtp5 == 1, title="TP5 Line Drawn", message="TP5 line has been drawn")
alertcondition(printedtp6 == 1, title="TP6 Line Drawn", message="TP6 line has been drawn")
alertcondition(printedtp7 == 1, title="TP7 Line Drawn", message="TP7 line has been drawn")
// Alert for crossing under RSI
alertcondition(tp, title="Take-Profit Condition", message="Take-Profit condition met")
Real Relative Strength Indicator (Multi-Index Comparison)The Real Relative Strength (RRS) indicator implements the "Real Relative Strength" equation, as detailed on the Real Day Trading subreddit wiki. This equation measures whether a stock is outperforming a benchmark (such as SPY or any preferred ETF/index) by calculating price change normalized by the Average True Range (ATR) of both the stock and the indices it’s being compared to.
The RRS metric often highlights potential accumulation by institutional players. For example, in this chart, you can observe accumulation in McDonald’s beginning at 1:25 pm ET on the 5-minute chart and continuing until 2:55 pm ET. When used in conjunction with other indicators or technical analysis, RRS can provide valuable buy and sell signals.
This indicator also supports multi-index analysis, allowing you to plot relative strength against two indices simultaneously—defaulting to SPY and QQQ—to gain insights into the "real relative strength" across different benchmarks. Additionally, this indicator includes an EMA line and background coloring to help automatically identify relative strength trends, providing a clearer visualization than typical Relative Strength Comparison indicators.
Ongoing YieldFort protection (BTC)This script shows the operation of YieldFort's protection, updated every 2nd and 4th week of the month. YieldFort protection helps hedge against volatility, preventing dollar losses on BTC, ETH, or TON investments. If the cryptocurrency price drops by the end of the period, clients are compensated in the respective crypto. If the price rises, clients keep their gains. The participation fee is 0.21% per 2-week period. Recommended for Deribit charts, as calculations are based on Deribit’s expiration rates between the 2nd and 4th weeks.
ChikouTradeIndicatorIndicator Title: ChikouTradeIndicator
Short Title: CTI
Description:
The ChikouTradeIndicator (CTI) is designed to help traders identify potential trend reversals by analyzing short-term and long-term price ranges. It calculates the midpoint of the highest high and lowest low over two customizable lengths – the Turning Length (TL) and the Kumo Length (KL) – and determines market momentum by plotting the difference between these midpoints.
How It Works:
- Positive values (above the zero line) indicate bullish momentum, suggesting potential buying opportunities.
- Negative values (below the zero line) indicate bearish momentum, suggesting potential selling opportunities.
Features:
- Two customizable inputs:
- TL (Turning Length): Period used to calculate the short-term high/low midpoint.
- KL (Kumo Length): Period used to calculate the longer-term high/low midpoint.
Disclaimer:
This indicator is intended as a supportive tool to enhance trading analysis. It does not guarantee profitability and should be used with caution. Trading involves risk, and users should perform their own research before making any trading decisions. The developer is not responsible for any losses incurred through the use of this indicator.
Mean Trend OscillatorMean Trend Oscillator
The Mean Trend Oscillator offers an original approach to trend analysis by integrating multiple technical indicators, using statistic to get a probable signal, and dynamically adapting to market volatility.
This tool aggregates signals from four popular indicators—Relative Strength Index (RSI), Simple Moving Average (SMA), Exponential Moving Average (EMA), and Relative Moving Average (RMA)—and adjusts thresholds using the Average True Range (ATR). By using this, we can use Statistics to aggregate or take the average of each indicators signal. Mathematically, Taking an average of these indicators gives us a better probability on entering a trending state.
By consolidating these distinct perspectives, the Mean Trend Oscillator provides a comprehensive view of market direction, helping traders make informed decisions based on a broad, data-driven trend assessment. Traders can use this indicator to enter long spot or leveraged positions. The Mean Trend Oscillator is intended to be use in long term trending markets. Scalping MUST NOT be used with this indicator. (This indicator will give false signals when the Timeframe is too low. The best intended use for high-quality signals are longer timeframes).
The current price of a beginning trend series may tell us something about the next move. Thus, the Mean Trend Oscillator allows us to spot a high probability trending market and potentially exploit this information enter long or shorts strategy. (again, this indicator will give false signals when the Timeframe is too low. The best intended use for high-quality signals are longer timeframes).
Concept and Calculation and Inputs
The Mean Trend Oscillator calculates a “net trend” score as follows:
RSI evaluates market momentum, identifying overbought and oversold conditions, essential for confirming trend direction.
SMA, EMA, and RMA introduce varied smoothing methods to capture short- to medium-term trends, balancing quick price changes with smoothed averages.
ATR-Enhanced Thresholds: ATR is used as a dynamic multiplier, adjusting each indicator’s thresholds to current volatility levels, which helps reduce noise in low-volatility conditions and emphasizes significant signals when volatility spikes.
Length could be used to adjust how quickly each indicator can more or how slower each indicator can be.
Time Coherency for Inputs: Each indicator must be calculated where each signal is relatively around the same area.
For example:
Simply:
SMA, RMA, EMA, and RSI enters long around each intended trend period. Doesn't have to be perfect, but the indicators all enter long around there.
Each indicator contributes a score (+1 for bullish and -1 for bearish), and these scores are averaged to generate the final trend score:
A positive score, shown as a green line, suggests bullish conditions.
A negative score, indicated by a red line, signifies bearish conditions.
Thus, giving us a signal to long or short.
How to Use the Mean Trend Oscillator
This indicator’s output is straightforward and can fit into various trading strategies:
Bullish Signal: A green line shows that the trend is bullish, based on a positive average score across the indicators, signaling a consideration of longing an asset.
Bearish Signal: A red line indicates bearish conditions, with an overall negative trend score, signaling a consideration to shorting an asset.
By aggregating these indicators, the Mean Trend Oscillator helps traders identify strong trends while filtering out minor fluctuations, making it a versatile tool for both short- and long-term analysis. This multi-layered, adaptive approach to trend detection sets it apart from traditional single-indicator trend tools.
9497707056 Ema 5 and 15-Minute Signal5 EMA
A 5-period EMA is a dynamic line on a trading chart that's highly responsive to recent price movements. The 5 EMA scalping strategy looks for reversals when the price moves away from the 5 EMA, which is considered the mean point of the price.
15 EMA
A 15 EMA is used in conjunction with the 5 EMA to identify bullish crossovers. A bullish crossover occurs when the 5 EMA crosses above the 15 EMA.
Colored Moving Averages With RSI SignalsMoving Average (MA):
Helps to determine the overall market trend. If the price is above the MA, it may indicate an uptrend, and if below, a downtrend.
In this case, a Simple Moving Average (SMA) is used, but other types can be applied as well.
Relative Strength Index (RSI):
This is an oscillator that measures the speed and changes of price movements.
Values above 70 indicate overbought conditions (possible sell signal), while values below 30 indicate oversold conditions (possible buy signal).
Purpose of This Indicator:
Trading Signals: The indicator generates "Buy" and "Sell" signals based on the intersection of the price line and the moving average, as well as RSI values. This helps traders make more informed decisions.
Signal Filtering: Using RSI in combination with MA allows for filtering false signals since it considers not only the current trend but also the state of overbought or oversold conditions.
How to Use:
For Short-Term Trading: Traders can use buy and sell signals to enter trades based on short-term market fluctuations.
In Combination with Other Indicators: It can be combined with other indicators for a more comprehensive analysis (e.g., adding support and resistance levels).
Overall, this indicator helps traders respond more quickly and accurately to changes in market conditions, enhancing the chances of successful trades.
SMC Order Block & Liquidity EntryThe SMC Order Block and Liquidity Trap Entry Strategy script uses Smart Money Concepts (SMC), which analyze institutional actions in the market, to assist traders in identifying high-probability trades. In order to help traders match their entry with institutional activity, this script highlights important regions of interest, including order blocks, liquidity zones, and indications for Break of Structure (BOS) or Change of Character (CHoCH).
The fundamental ideas of this approach, which focuses on regions where institutions frequently make sizable orders or sweep liquidity, are based on SMC principles. Order blocks, which are frequently important support or resistance zones when institutions are involved, are the final bullish or bearish candle before a significant price move in the other direction. There are liquidity zones that show where retail stop-loss orders build up (above recent highs or below recent lows), such as Buy-Side Liquidity (BSL) and Sell-Side Liquidity (SSL). Before changing the direction of the price, institutions could target these zones, giving traders possible chances.
The script depicts liquidity levels above or below recent highs and lows, automatically finds order blocks within a specified lookback time, and looks for BOS (a continuation signal) or CHoCH (a reversal signal). When liquidity retests inside an order block coincide with BOS or CHoCH circumstances, entry signals are produced. While short entries are triggered when the price breaks below the order block and SSL, long entry alerts are triggered when the price breaks above the order block and BSL.
