SCALPING 5MIN MACD & RSI with EMA20-200X: @IMAN_INJ
1. MACD (Moving Average Convergence Divergence)
Displays as a four-colored histogram.
Lime Green: Bullish momentum increasing.
Green: Bullish momentum decreasing.
Maroon: Bearish momentum increasing.
Red: Bearish momentum decreasing.
A zero line is added for trend confirmation.
2. RSI (Relative Strength Index)
Calculates RSI values based on the closing price.
Detects overbought (above 70) and oversold (below 25) zones.
Signals:
"Buy" appears when RSI crosses above 25 (oversold condition).
"Sell" appears when RSI crosses below 70 (overbought condition).
3. Buy/Sell Signal Placement
Signals are plotted on the MACD histogram to align RSI conditions with MACD momentum.
Green Labels: Indicate "Buy" opportunities.
Red Labels: Indicate "Sell" opportunities.
Média Móvel Exponencial (MME)
4 EMA Lines with Labels V.0This Pine Script displays 4 Exponential Moving Averages (EMAs) with dynamic labels directly on the chart.
The EMAs help traders identify short to long-term trends.
✅ EMA Details:
EMA 20 (Blue): Very short-term trend
EMA 50 (Green): Short-term trend
EMA 100 (Yellow): Mid-term trend
EMA 200 (Red): Long-term trend
📊 How It Works:
Plots 4 EMA lines with different colors for easy identification.
Adds dynamic labels that update automatically based on price movement.
💡 Benefits:
Quickly spot market trends.
Identify dynamic support/resistance levels.
Improve decision-making with clear visual cues.
EMA SHIFT & PARALLEL [n_dot]BINANCE:ETHUSDT.P
This strategy was developed for CRYPTO FUTURES, (the settings for ETHUSDT.P) . I aimed for the strategy to function in a live environment, so I focused on making its operation realistic:
When determining the position, only 80% (adjustable) of the available cash is invested to reduce the risk of position liquidation.
I account for a 0.05% commission, typical on the futures market, for each entry and exit.
Concept:
I modified a simple, well-known method: the crossover of two exponential moving averages (FAST, SLOW) generates the entry and exit signals.
I enhanced the base idea as follows:
For the fast EMA, I incorporated a multiplier (offset) to filter out market noise and focus only on strong signals.
I use different EMAs for long and short entry points; both have their own FAST and SLOW EMAs and their own offset. For longs, the FAST EMA is adjusted downward (<1), while for shorts, it is adjusted upward (>1). Consequently, the signal is generated when the modified FAST EMA crosses the SLOW EMA.
Risk Management:
The position includes the following components:
Separate stop-losses for long and short positions.
Separate trailers for long and short positions.
The strategy operates so that the entry point is determined by the EMA crossover, while the exit is governed only by the Stop Loss or Trailer. Optionally, it can be set to close the position at the EMA recrossing ("Close at Signal").
Trailer Operation:
An entry percentage and offset are defined. The trailer activates when the price surpasses the entry price, calculated automatically by the system.
The trailer closes the position when the price drops by the offset percentage from the highest reached price.
Example for trailer:
Purchase Price = 100
Trailer Enter = 5% → Activation Price = 105 (triggers trailer if market price crosses it).
Trailer Offset = 2%
If the price rises to 110, the exit price becomes 107.8.
If the price goes to 120, the exit price becomes 117.6.
If the price falls below 117.6, the trailer closes the position.
Settings:
Source: Determines the market price reference.
End Close: Closes positions at the end of the simulation to avoid "shadow positions" and provide an objective result.
Lot proportional to free cash (%): Only a portion of free cash is invested to meet margin requirements.
Plot Short, Plot Long: Simplifies displayed information by toggling indicator lines on/off.
Long Position (toggleable):
EMA Fast ws: Window size for FAST EMA.
EMA Slow ws: Window size for SLOW EMA.
EMA Fast down shift: Adjustment factor for FAST EMA.
Stop Loss long (%): Percent drop to close the position.
Trailer enter (%): Percent above the purchase price to activate the trailer.
Trailer offset (%): Percent drop to close the position.
Short Position (toggleable):
EMA Fast ws: Window size for FAST EMA.
EMA Slow ws: Window size for SLOW EMA.
EMA Fast up shift: Adjustment factor for FAST EMA.
Stop Loss short (%): Percent rise to close the position.
Trailer enter (%): Percent below the purchase price to activate the trailer.
Trailer offset (%): Percent rise to close the position.
Operational Framework:
If in a long position and a short EMA crossover occurs, the strategy closes the long and opens a short (flip).
If in a short position and a long EMA crossover occurs, the strategy closes the short and opens a long (flip).
A position can close in three ways:
Stop Loss
Trailer
Signal Recrossing
If none are active, the position remains open until the end of the simulation.
Observations:
Shifts significantly deviating from 1 increase overfitting risk. Recommended ranges: 0.96–0.99 (long) and 1.01–1.05 (short).
The strategy's advantage lies in risk management, crucial in leveraged futures markets. It operates with relatively low DrawDown.
Recommendations:
Bullish Market: Higher entry threshold (e.g., 6%) and larger offset (e.g., 3%).
Volatile/Sideways Market: Tighter parameters (e.g., 3%, 1%).
The method is stable, and minor parameter adjustments do not significantly impact results, helping assess overfitting: if small changes lead to drastic differences, the strategy is over-optimized.
EMA Settings: Adjust FAST and SLOW EMAs based on the asset's volatility and cyclicality.
On the crypto market, especially in the Futures market, short time periods (1–15 minutes) often show significant noise, making patterns/repetitions hard to identify. I recommend setting the interval to at least 1 hour.
I hope this contributes to your success!
Multi-Indicator: RSI & Moving AveragesMulti-Indicator: RSI & Moving Averages
Multi-Indicator: RSI & Moving Averages
Multi-Indicator: RSI & Moving Averages
4EMA + H/L Pivot Points + Killzonesjust a simple 4 ema with high and low pivot points with a 7-9:30 am Killzone
Uptrend Rainbow Song EMA ver.1 🎵Description for EMA Label & Cross Indicator (Pelangi Theme)
This indicator plots 4 EMA lines (200, 100, 50, and 20 periods) on the chart with dynamic labels that follow each EMA line. The labels update in real-time to reflect their relative position on the chart and provide useful insights based on market conditions.
🚩 Key Features:
Dynamic EMA Labels
The labels display the names of each EMA (e.g., "EMA 200") and will change text dynamically if the EMAs are in a specific bullish order:
EMA 20 (Blue): Displays "Di langit yang biru 🎵" (translated: "In the blue sky 🎵") if it's at the top.
EMA 50 (Green): Displays "Hijau" ("Green").
EMA 100 (Yellow): Displays "Kuning" ("Yellow").
EMA 200 (Red): Displays "Merah" ("Red").
Crossover Detection
The indicator detects and marks crossover and crossunder points between the EMA lines with colored circles:
Red Circle: EMA 200 crossing with EMA 100.
Yellow Circle: EMA 200 crossing with EMA 50.
Green Circle: EMA 200 crossing with EMA 20.
Blue Circle: EMA 100 crossing with EMA 50.
Purple & Orange Circles: Custom colors for other crossovers.
🎯 Usage:
This indicator helps traders identify EMA crossovers and track the relative position of EMAs in real-time. The dynamic labels make it easy to visualize when the market is in a bullish or bearish trend.
The label text changes based on the order of the EMAs:
If EMA 20 > EMA 50 > EMA 100 > EMA 200, it indicates a strong bullish trend, and the labels will change to a colorful theme.
🎨 Theme:
The indicator follows a "Pelangi" (Rainbow) theme, inspired by the song:
"Merah, Kuning, Hijau, di langit yang biru"
("Red, Yellow, Green, in the blue sky").
Shendeng - ATR + Trend + EMAThis is a custom technical indicator that combines multiple smoothing and weighted calculation steps to capture changes in price momentum. The specific calculation process is as follows:
1. PMI_LA Indicator
Smoothing Period (sm): Used to apply exponential moving average (EMA) multiple times to smooth price data.
Constant D (cd): Used to adjust the sensitivity and shape of the indicator.
Color Bars (ebc) and Ribbon Mode (ribm): Used for visual highlighting of the indicator.
Overview of the Calculation Process:
Apply EMA multiple times to smooth price data.
Use multiple weighted coefficients (based on cd) to linearly combine the smoothed data, generating the final PMI_LA trend line.
Dynamically adjust its color based on changes in the trend line (green indicates rising, red indicates falling, blue indicates no change).
2. ATR (Average True Range)
ATR (Average True Range) is an indicator that measures market volatility by calculating the price fluctuation over a certain period.
ATR Period (c): Defines the number of historical periods required for ATR calculation.
ATR Multiplier (a): Used to adjust the impact of ATR, thereby affecting the upper and lower bands of the trend line.
3. EMA (Exponential Moving Average)
EMA (Exponential Moving Average) is used to generate a smooth price trend line. Although in the code the EMA period is set to 1 (i.e., ema(src_bsi, 1)), its main role is to assist in calculating trend changes.
4. Heikin Ashi Candles (Optional)
Heikin Ashi Candles are an improved candlestick display method, aiming to filter out market noise and provide a clearer trend illustration. Through the parameter h, users can choose whether to use Heikin Ashi candlestick data for calculation.
5. Logic and Conditions
BUY: When the price breaks above the ATR-adjusted upper band from below, and the EMA crosses above the upper band, indicating that the market may be starting a new upward trend, issuing a buy signal.
SELL: When the price breaks below the ATR-adjusted lower band from above, and the EMA crosses below the lower band, indicating that the market may be starting a new downward trend, issuing a sell signal.
这是一个自定义的技术指标,结合了多个平滑和加权计算步骤,以捕捉价格动量的变化。具体计算过程如下:
1.PMI_LA 指标
平滑周期(Smoothing Period, sm):用于多次应用指数移动平均(EMA)以平滑价格数据。
常数D(Constant D, cd):用于调整指标的灵敏度和形状。
颜色条(Color Bars, ebc) 和 带状模式(Ribbon Mode, ribm):用于视觉上的指标高亮。
计算过程概述:
多次应用EMA平滑价格数据。
使用多个加权系数(基于cd)对平滑后的数据进行线性组合,生成最终的PMI_LA趋势线。
根据趋势线的变化,动态调整其颜色(绿色表示上升,红色表示下降,蓝色表示无变化)。
2. ATR(平均真实波幅)
ATR(Average True Range) 是一种衡量市场波动性的指标,通过计算一定周期内的价格波动幅度来评估市场的波动性。
ATR周期(ATR Period, c):定义了ATR计算所需的历史周期数。
ATR倍数(ATR Multiplier, a):用于调整ATR的影响力度,进而影响趋势线的上下轨。
3. EMA(指数移动平均线)
EMA(Exponential Moving Average) 用于生成一个平滑的价格趋势线。虽然在代码中EMA的周期设置为1(即ema(src_bsi, 1)),但其主要作用是辅助计算趋势变化。
4. Heikin Ashi 蜡烛图(可选)
Heikin Ashi Candles 是一种改进的蜡烛图显示方式,旨在过滤掉市场噪音,提供更清晰的趋势图示。通过参数h,用户可以选择是否使用Heikin Ashi蜡烛图的数据进行计算。
5.逻辑与条件:
BUY:当价格从下方向上突破ATR调整后的上轨,并且EMA上穿上轨时,表明市场可能开始一个新的上升趋势,发出买入信号。
SELL:当价格从上方向下突破ATR调整后的下轨,并且EMA下穿下轨时,表明市场可能开始一个新的下降趋势,发出卖出信号。
GocchiMulti-Indicator: RSI & Moving Averages
This versatile TradingView indicator combines two essential tools for technical analysis—Relative Strength Index (RSI) and Moving Averages (MAs)—into one comprehensive solution. It is designed for traders seeking flexibility, customization, and efficiency in their charting experience.
Features:
Relative Strength Index (RSI):
Customizable RSI length.
Adjustable overbought and oversold levels.
Selectable source input (e.g., close, open, high, low).
Visual levels for overbought and oversold zones, aiding in quick trend and momentum identification.
Three Moving Averages:
Three independently customizable moving averages.
Options for Simple Moving Average (SMA) or Exponential Moving Average (EMA) for each line.
Adjustable lengths for short-, medium-, and long-term trend tracking.
Visual Enhancements:
Clear, color-coded plots for RSI and each moving average.
Overbought and oversold zones are highlighted with horizontal dotted lines.
Alerts:
Get notified when RSI crosses above the overbought level or below the oversold level.
Alerts help traders stay on top of potential market reversals or breakout opportunities.
Use Cases:
RSI Analysis: Spot overbought or oversold conditions to identify potential reversals.
Trend Following: Use moving averages to confirm trends or identify crossovers for potential entry and exit points.
Custom Strategies: Tailor the settings to fit specific trading styles, such as scalping, swing trading, or long-term investing.
This all-in-one indicator streamlines your analysis by reducing the need for multiple overlays, making your charts cleaner and more actionable. Whether you're a novice or an experienced trader, this tool provides the flexibility and insights you need to succeed in any market condition.
EMA 5/20 Crossover with Support & ResistanceEMA 5/20 Crossover with Support & Resistance with buy and sell indicator
Moving AverageThe Moving Average Indicator script on Trading View is a versatile tool designed to smooth price data and identify trends in financial markets. It calculates the average price over a specified period, helping traders visualize the direction of the market. Common types include Simple Moving Average (SMA) and Exponential Moving Average (EMA), with adjustable periods to suit various strategies. By overlaying the indicator on the price chart, users can spot potential entry or exit points, trend reversals, and support or resistance levels. Ideal for both beginners and experienced traders, this script enhances decision-making with a clear, intuitive visualization of market trends.
Easy buy and sell signalThis script identifies trading opportunities by combining:
EMA Crossovers: Detects when the short-term trend (5 EMA) crosses the longer-term trend (20 EMA).
MACD Crossovers: Confirms momentum shifts when the MACD line crosses its signal line.
The script ensures that a signal is only generated when both conditions align, reducing false signals.
Price Action Health CheckThis is a price action indicator that measures market health by comparing EMAs, adapting automatically to different timeframes (Weekly/Daily more reliable) and providing context-aware health status.
Key features:
Automatically adjusts EMA periods based on timeframe
Measures price action health through EMA separation and historical context
Provides visual health status with clear improvement/deterioration signals
Projects a 13-period trend line for directional context
Trading applications:
Identify shifts in market health before major trend changes
Validate trend strength by comparing current readings to historical averages
Time entries/exits based on health status transitions
Filter trades using timeframe-specific health readings
I like to use it to keep SPX in check before deciding the market is going down.
Note: For optimal analysis, use primarily on Weekly and Daily timeframes where price action patterns are more significant.
50 and 9 EMA CrossoverThis 50 and 9 EMA Crossover strategy is a simple yet effective trend-following approach designed to identify key market entry and exit points based on the interaction of two Exponential Moving Averages (EMAs).
Key Features:
50-period EMA (Blue Line): Represents the longer-term trend. It smooths out price data to show the overall market direction.
9-period EMA (Red Line): Represents the shorter-term trend, responding quicker to recent price movements.
Strategy:
Buy Signal: A crossover occurs when the 9 EMA crosses above the 50 EMA, indicating that short-term momentum is stronger than the long-term trend. This is often interpreted as a signal to enter a long position (buy).
Sell Signal: A crossunder occurs when the 9 EMA crosses below the 50 EMA, suggesting that short-term momentum is weakening or reversing. This can be used as an indication to close long positions or enter short trades (sell).
Key Benefits:
Visual Indicators: The script plots both EMAs on the chart for a clear visual representation of market trends.
Clear Entry/Exit Signals: The "BUY" and "SELL" signals are displayed directly on the chart when the crossovers and crossunders occur, making it easy to act on these key moments.
Alerts: Set up alerts to get notified when these crossovers occur, ensuring you don’t miss important trading opportunities.
This strategy works best in trending markets and can be used for both short-term and longer-term trading, depending on your preferences.
EMA MTF Crossover [Two]1m = Scalping Trade 3% chart
Đ = Đảo chiều xu hướng = Swing Trade 5% chart
T = Tiếp diễn xu hướng = Scalp Trade 5% chart
EMAs 12, 26, 50 e 200Média Móvel Exponencial (Exponential Moving Average) de 12, 26, 50 e 200 períodos.
Three EMA for mr shalashthis is 3 in 1 ema indicator to show you 3 different time frame
5 min and 15 min and 30 min
when you are trading on time frame 5 min you will have the confirmation from the 15 and 30 min
High Volume Levels with 9 EMAThe script looks back 30 candles and determine highest volume candle in last 30 candles.
High and Low of these candles acts as support and resistance.
Typically price is rising above 9 ema and breaks out of high of the volume candle is bullish.
Similarly, if price is below 9ema and breaking the low of volume candle its bearish.
MACD & EMA Dual Confirmation Alert System (15m)An alert-focused indicator combining MACD and EMA crossovers to generate high-probability trade signals. Triggers when both MACD and EMA crossovers occur within 6 candles of each other.
Features:
MACD (12, 26, 9) and EMA (9, 20) crossover detection
6-candle buffer window for signal confirmation
Clean chart overlay with BUY/SELL labels only
Customizable alerts for both entry and exit signals
15-minute timeframe optimization
Perfect for traders seeking confirmation from multiple indicators without chart clutter. Ideal for swing and intraday trading strategies.
EMA Crossover Buy + Ichimoku Cloud Sell StrategyThis trading strategy combines two powerful technical indicators to identify potential buy and sell signals: the Exponential Moving Average (EMA) Crossover and the Ichimoku Cloud. Each indicator serves a different purpose in the strategy, helping to provide a more reliable and multi-faceted approach to decision-making.
1. EMA Crossover Buy Signal (Trend Confirmation)
The EMA Crossover strategy is based on the intersection of two EMAs of different periods, typically the short-term EMA (e.g., 9-period) and the long-term EMA (e.g., 21-period). The core concept behind the EMA crossover strategy is that when the shorter EMA crosses above the longer EMA, it signals a potential bullish trend.
Buy Signal:
The short-term EMA (9-period) crosses above the long-term EMA (21-period).
This indicates that the short-term price action is gaining strength and may continue to rise. The buy signal becomes more significant when both EMAs are positioned above the Ichimoku Cloud, confirming that the market is in a bullish phase.
2. Ichimoku Cloud Sell Signal (Trend Reversal or Correction)
The Ichimoku Cloud is a comprehensive indicator that helps define support and resistance levels, trend direction, and momentum. In this strategy, the Ichimoku Cloud is used as a filter for sell signals.
Sell Signal:
The price enters or is below the Ichimoku Cloud (meaning the market is in a bearish phase).
Price action should also be below the Cloud for confirmation.
Alternatively, if the price has already been above the cloud and then crosses below the Cloud or if the leading span B dips below leading span A, it can signal a potential trend reversal and act as a sell signal.
3. Strategy Execution (Buy and Sell Orders)
Buy Setup:
The short-term EMA (9-period) crosses above the long-term EMA (21-period), signaling a bullish trend.
Confirm that both EMAs are positioned above the Ichimoku Cloud.
Enter the buy trade at the crossover point or on a pullback after the crossover, with stop-loss below the recent swing low or cloud support.
Sell Setup:
Wait for the price to break below the Ichimoku Cloud, or if the price is already below the Cloud and the price continues to trend downward.
Optionally, wait for the short-term EMA to cross below the long-term EMA as a further confirmation of the bearish signal.
Exit or sell when these conditions align, placing stop-loss above the recent swing high or cloud resistance.
Advantages of This Strategy:
Trend Confirmation: The EMA crossover filters out choppy market conditions and confirms the direction of the trend.
Market Timing: The Ichimoku Cloud adds a secondary layer of trend verification and helps to identify reversal zones.
Clear Entry and Exit Points: The strategy offers distinct buy and sell signals, reducing subjective decision-making and improving consistency.
Trend Strength Analysis: The combination of the EMA Crossover and Ichimoku Cloud allows traders to confirm trend strength, ensuring the trader enters during a confirmed trend.
Risk Management:
Stop Loss: Place stop-loss orders slightly below recent lows for long positions or above recent highs for short positions, depending on market volatility.
Take Profit: Use a risk-to-reward ratio of at least 1:2, with price targets based on previous support/resistance levels or a fixed percentage.
Conclusion:
This strategy is designed for traders looking to capture trends in both bullish and bearish markets. The EMA Crossover Buy signal identifies trend initiation, while the Ichimoku Cloud Sell signal helps determine when to exit or reverse the position, reducing the risk of holding during a market reversal.
SZN TrendLocal, daily, weekly Trend. Courtesy of Docxbt.
Local trend is 13, 21, 34 EMA.
Daily Trend is 4H 100 and 200 EMA.
Weekly Trend is 1D 100 and 200EMA.
Simple EMA 50 Strategy with ADX FilterSimple strategy for GOLD and BTC
ADX Filtr for entry
Price cross EMA 50
SL tailored
Simple EMA 50 Strategy with ADX FilterSimple strategy for GOLD and BTC
ADX Filtr for entry
Price cross EMA 50
SL tailored