EMA/SMMA Crossover Strategy v6 + EMA2400This indicator combines short-term SMMA crossovers with long-term EMA filters to generate high-quality trading signals. It’s designed to trade in the direction of the larger trend and avoid choppy conditions.
🔍 Components:
3 SMMA & 8 SMMA: Capture short-term momentum shifts.
200 EMA: Standard trend filter on the current timeframe.
2400 EMA: Simulates the 200 EMA from the H1 timeframe when applied to a 1-minute chart (multi-timeframe trend alignment).
📈 Signal Logic:
Buy Signal: 3 SMMA crosses above 8 SMMA and price is above both EMA 200 and EMA 2400.
Sell Signal: 3 SMMA crosses below 8 SMMA and price is below both EMA 200 and EMA 2400.
🎯 Features:
Clear BUY/SELL signal plotting
Optional colored background based on EMA 2400 trend
Built-in alerts for automation
This script is ideal for scalpers and intraday traders who want to stay aligned with the broader market direction.
Medie mobili
EMA Break & Retest + Trend TableThis script, titled "EMA Break & Retest + Trend Table", is designed for use on the TradingView platform to help traders identify potential buy and sell signals based on the Exponential Moving Average (EMA), with an added focus on multi-timeframe analysis and a trend table for easy visualization.
Here's a breakdown of the script:
1. User Inputs:
EMA Length (emaLength): The period for calculating the Exponential Moving Average (EMA). By default, this is set to 21 periods.
Source (src): The data source for the EMA (by default, it uses the closing price of the candle).
Show Buy Signal (showBuy): A toggle to show buy signals on the chart.
Show Sell Signal (showSell): A toggle to show sell signals on the chart.
EMA Color (emaColor): The color for the EMA line on the chart.
EMA Line Thickness (emaWidth): The thickness of the EMA line for better visualization.
2. EMA Calculation:
The script calculates the EMA using the defined emaLength and plots it on the chart as a line. The EMA is a common indicator used to smooth out price data and identify trends.
Plot: The EMA is plotted in orange with a width defined by emaWidth.
3. Break & Retest Logic:
Broke Above (brokeAbove): This condition checks if the price has crossed above the EMA, then retested it and stayed above the EMA. This indicates a potential bullish trend.
Broke Below (brokeBelow): This condition checks if the price has crossed below the EMA, then retested it and stayed below the EMA. This indicates a potential bearish trend.
Buy Signal (buySignal): If the price has broken above the EMA and is currently above it, the script will generate a "BUY" signal.
Sell Signal (sellSignal): If the price has broken below the EMA and is currently below it, the script will generate a "SELL" signal.
4. Plot Buy/Sell Signals:
Buy Signal (plotshape for Buy): If the buySignal is true and the user has enabled it (showBuy), a green "BUY" label will appear below the bar.
Sell Signal (plotshape for Sell): If the sellSignal is true and the user has enabled it (showSell), a red "SELL" label will appear above the bar.
5. Alert Conditions:
Buy Alert: An alert is triggered when the buy signal is active. The message includes the context: "BUY: 21 EMA break and retest confirmed to the upside."
Sell Alert: An alert is triggered when the sell signal is active. The message includes the context: "SELL: 21 EMA break and retest confirmed to the downside."
6. Multi-Timeframe Trend Table:
The script also includes a trend table in the top-right corner of the chart, showing the trend on different timeframes (Daily, 4H, 1H, 15M, and 5M). The trend is determined by the following logic:
Bullish Trend: If the price has broken above the EMA and stayed above it, or if the price is currently above the EMA without any break below.
Bearish Trend: If the price has broken below the EMA and stayed below it, or if the price is currently below the EMA without any break above.
The trend table will show the trend for each timeframe with:
Bullish: The trend will be colored green.
Bearish: The trend will be colored red.
Neutral/No Break: If no break and retest is confirmed, it will default to the current price position relative to the EMA.
7. Trend Table Structure:
The table has columns for each timeframe (Daily, 4H, 1H, 15M, and 5M) and includes:
The name of the timeframe.
The trend for each timeframe (Bullish or Bearish), colored appropriately.
The current trend signal ("BUY", "SELL", or a dash for no signal).
Trend determination for each timeframe:
The script calculates the trend for each timeframe by requesting the security data for each timeframe (using request.security) and then checking whether the price is above or below the EMA, or if it has broken and retested the EMA.
8. How It Works:
The script provides both real-time signals (for buy and sell) based on the price breaking and retesting the EMA, and it also shows the current trend for various timeframes in a table.
If the price crosses the EMA, the script will check for a "break" and "retest" to confirm the trend before issuing a buy or sell signal.
The trend table helps the trader to quickly understand the trend on multiple timeframes, making it easier to trade based on both short-term and long-term trends.
Summary:
This script combines a break-and-retest strategy with multi-timeframe analysis and provides an easy-to-read trend table for multiple timeframes. It helps traders visualize where the market is trending across different timeframes and offers signals when a price breaks and retests the EMA 21. This script can be especially useful for traders who prefer to take advantage of trend reversals or pullbacks, using the EMA as a dynamic support/resistance level.
T3 + MACD + EMA ConfluenceThis indicator combines the T3 Moving Average, MACD, and EMA 200 to identify high-probability trend-following entries on any timeframe.
Key Features:
T3 Moving Average (20 period, customizable smoothing) for dynamic trend direction and support/resistance.
MACD Histogram used to confirm momentum in the direction of the trend.
200 EMA for filtering trades in line with the long-term trend.
Buy and Sell signals appear when all confluence conditions align.
Built-in alerts for signal generation.
This tool is ideal for traders looking for clean entries in trending markets with strong confirmation. Best used on pairs like EURUSD H1, but works across all instruments and timeframes.
Ultimate MA & PSAR [TARUN]Overview
This indicator combines a customizable Moving Average (MA) and Parabolic SAR (PSAR) to generate precise long and short trade signals. A dashboard displays real-time trade conditions, including signal direction, entry price, stop loss, and PnL tracking.
Key Features
✅ Customizable MA Type & Period – Choose between SMA or EMA with adjustable length.
✅ Adaptive PSAR Settings – Modify start, increment, and max step values to fine-tune stop levels.
✅ Trade Signal Logic – Identifies potential buy (long) and sell (short) opportunities based on:
Price action relative to MA
MA trend direction (rising or falling)
PSAR confirmation
✅ Dynamic Stop Loss Calculation – Uses lowest low/highest high over a specified period for stop loss placement.
✅ Trade State & Reversal Handling – Manages active trades, pending signals, and stop loss exits dynamically.
✅ PnL & Dashboard Table – Displays real-time signal status, entry price, stop loss, and profit/loss (PnL) in an easy-to-read format.
How It Works
1.Buy (Long) Condition:
MA is rising
Price is above the MA
PSAR is below price
2.Sell (Short) Condition:
MA is falling
Price is below the MA
PSAR is above price
3.Stop Loss Handling:
For long trades → stop loss is set at the lowest low of the last X candles
For short trades → stop loss is set at the highest high of the last X candles
4.Trade Execution & PnL Calculation:
If a valid long/short setup is detected, a pending signal is placed.
On the next bullish (for long) or bearish (for short) candle, the trade is confirmed.
Real-time PnL updates help track trade performance.
Customization Options
🔹 Moving Average: SMA or EMA, adjustable period
🔹 PSAR Settings: Start, Increment, Maximum step values
🔹 Stop Loss Lookback: Choose how many candles to consider for stop loss placement
🔹 Dashboard Positioning: Select preferred display location (top/bottom, left/right)
🔹 Trade Signal Selection: Enable/Disable Long and Short signals individually
How to Use
Add the indicator to your chart.
Customize the MA & PSAR settings according to your trading strategy.
Follow the dashboard signals for trade setups.
Use stop loss levels to manage risk effectively.
Disclaimer
⚠️ This indicator is for educational purposes only and does not constitute financial advice. Always perform proper risk management and backtesting before using it in live trading.
EMA Crossover (New Trailing Stop)This strategy utilizes a combination of Exponential Moving Averages (EMA) to generate entry and exit signals for both long and short positions. The core of the strategy is based on the 13-period EMA (short EMA) crossing the 33-period EMA (long EMA) for entering long trades, while a 13-period EMA crossing the 25-period EMA (mid EMA) generates short trade signals. The strategy aims to capitalize on trend reversals and momentum shifts in the market.
A key enhancement in this strategy is the inclusion of slippage, set at 5 ticks, to simulate more realistic trading conditions. Slippage accounts for the difference between the expected price of a trade and the actual price, providing a more accurate representation of real-world trading scenarios.
Stack Overflow
To address the issue of overlapping exit orders, the strategy incorporates a flag (isExiting) to track whether an exit has been processed. This ensures that only one exit order is generated per bar, preventing multiple exits from overlapping and resulting in clearer trade execution.
The strategy is designed to execute trades swiftly, emphasizing real-time entry when conditions align. For long entries, the strategy initiates a buy when the 13 EMA is greater than the 33 EMA, indicating a bullish trend. For short entries, the 13 EMA crossing below the 33 EMA signals a bearish trend, prompting a short position. Importantly, the code includes built-in exit conditions for both long and short positions. Long positions are exited when the 13 EMA falls below the 33 EMA, while short positions are closed when the 13 EMA crosses above the 25 EMA.
A notable feature of the strategy is the use of trailing stops for both long and short positions. This dynamic exit method adjusts the stop level as the market moves favorably, locking in profits while reducing the risk of losses. The trailing stop for long positions is based on the high price of the current bar, while the trailing stop for short positions is set using the low price, providing flexibility in managing risk. This mechanism helps capture profits from favorable market movements while ensuring positions are exited if the market moves against them.
In summary, this strategy combines EMA crossovers with realistic trading conditions, including slippage and non-overlapping exits, to effectively identify and act upon market trends. This strategy works best on the 4H/Daily timeframe and is optimized for major cryptocurrency pairs. The 4H/Daily chart allows for the EMAs to provide more reliable signals, as the strategy is designed to capture broader trends rather than short-term market fluctuations. Using it on major crypto pairs increases its effectiveness as these assets tend to have strong and sustained trends, providing better opportunities for the strategy to perform well.
M.shiham-Trend Direction with Support/Resistance//@version=5
indicator("M.shiham-Trend Direction with Support/Resistance", overlay=true)
// Input parameters for MACD
fastLength = input(12, title="MACD Fast Length")
slowLength = input(26, title="MACD Slow Length")
signalSmoothing = input(9, title="MACD Signal Smoothing")
// Input parameter for RSI
rsiLength = input(14, title="RSI Length")
// Calculate MACD
= ta.macd(close, fastLength, slowLength, signalSmoothing)
// Calculate RSI
rsi = ta.rsi(close, rsiLength)
// Determine trend direction
var string trendDirection = na
if (ta.crossover(macdLine, signalLine) and rsi > 50)
trendDirection := "Bullish"
else if (ta.crossunder(macdLine, signalLine) and rsi < 50)
trendDirection := "Bearish"
// Plot trend direction label
if (trendDirection != na)
label.new(bar_index, high, trendDirection, color=color.rgb(28, 177, 65, 67), textcolor=color.rgb(17, 16, 16), style=label.style_label_down)
// Function to identify support and resistance levels
var float supportLevel = na
var float resistanceLevel = na
if (trendDirection == "Bullish")
supportLevel := ta.valuewhen(ta.crossunder(macdLine, signalLine), low, 0)
line.new(bar_index , supportLevel, bar_index, supportLevel, color=color.green, width=2)
else if (trendDirection == "Bearish")
resistanceLevel := ta.valuewhen(ta.crossover(macdLine, signalLine), high, 0)
line.new(bar_index , resistanceLevel, bar_index, resistanceLevel, color=color.red, width=2)
DrCID CLUB-MACD LeaderThis version includes all the improvements:
- Leader line
- Classic histogram
- Impulse histogram (off by default)
- Volume weighted histogram (off by default)
- Cross marked with dots
EMA Cloud with Custom MAs and RSI [deepakks444]EMA Cloud with Custom MAs and RSI
Overview
A simple yet very effective tool, this indicator combines three essential elements to help you analyze the market with ease, using inputs to customize settings like MA types, lengths, and RSI periods. It includes an EMA Cloud to identify trends, two customizable Moving Averages (MAs) to confirm those trends, and a simple RSI (Relative Strength Index) to measure momentum. The EMA Cloud creates a colored area on your chart to show the trend direction at a glance, the MAs act as a second layer of confirmation, and the RSI, displayed in a separate pane, helps you understand the strength of the price movement. This setup is perfect for traders who want a clear, straightforward way to spot trends and gauge momentum without extra complexity.
Features
EMA Cloud:
The EMA Cloud is a shaded area on your chart that makes trend spotting easy. It’s created using two 3-period EMAs (Exponential Moving Averages): one based on the candle’s high price (called the High EMA) and one based on the candle’s low price (called the Low EMA). These EMAs track the recent highs and lows over the last three candles, forming a cloud-like area between them that moves with the price.
The cloud changes color based on where the candle is compared to these EMAs, giving you a quick visual of the trend:
Green: The candle is in a strong uptrend. This happens when the candle’s highest point (its high) touches or goes above the High EMA, and its lowest point (its low) stays above the Low EMA. In simple terms, the price is climbing higher and isn’t dropping below the recent lows, which shows strong bullish momentum and suggests the price might keep going up.
Red: The candle is in a strong downtrend. This happens when the candle’s lowest point (its low) touches or goes below the Low EMA, and its highest point (its high) stays below the High EMA. This means the price is falling lower and isn’t spiking above the recent highs, showing strong bearish momentum and suggesting the price might keep going down.
Yellow: The trend isn’t clear. This happens when the candle doesn’t fit the Green or Red conditions. For example, the candle might be stuck between the two EMAs, or it might be outside them but not showing a strong bullish or bearish move. A Yellow cloud tells you the market is in a neutral state, often during sideways movement or choppy price action, so it’s a sign to wait for a clearer trend before acting.
The cloud is overlaid directly on the price chart, so you can see the trend while watching the candles. It’s designed to be fast and responsive, thanks to the short 3-period EMAs, making it great for short-term trading.
Custom Moving Averages:
This indicator includes two Moving Averages (MAs) that you can customize to match your trading style. These MAs act as a backup to the EMA Cloud, helping you confirm the trend and spot potential entry or exit points.
You can choose the type of MA from a list: SMA (Simple Moving Average, which gives equal weight to all prices), EMA (Exponential Moving Average, which focuses more on recent prices), WMA (Weighted Moving Average, which gives more weight to recent prices in a linear way), HMA (Hull Moving Average, which is smoother and faster), RMA (Running Moving Average, often used in momentum indicators), or VWMA (Volume Weighted Moving Average, which factors in trading volume). Each type has its own strengths, so you can pick the one that suits your strategy best.
The default lengths are 20 for the first MA (shorter, faster) and 50 for the second MA (longer, slower), but you can adjust these lengths to make the MAs more or less sensitive. For example, a shorter length like 10 will react faster to price changes, while a longer length like 100 will show the bigger trend.
The MAs are plotted on the price chart in blue (for the first MA) and black (for the second MA). You can use them to see how the price is moving compared to the trend shown by the EMA Cloud, and they’re especially helpful for spotting crossovers (when the shorter MA crosses the longer MA), which can signal a change in trend.
RSI for Momentum:
The RSI (Relative Strength Index) is a simple momentum indicator that shows how strong the price movement is. It’s displayed in a separate pane below the chart, so it doesn’t get in the way of your price view.
This is a default 14-period RSI, meaning it looks at the last 14 candles to calculate momentum. You can adjust the period if you want it to be more or less sensitive—for example, a shorter period like 7 will react faster, while a longer period like 21 will be slower and smoother.
The RSI ranges from 0 to 100. A higher RSI (closer to 100) means the price is moving up with strong momentum, while a lower RSI (closer to 0) means the price is moving down with strong momentum. For example, if the RSI is rising and heading toward 70, it shows the price is gaining upward momentum, which can support a Green cloud signal. If the RSI is falling and heading toward 30, it shows the price is gaining downward momentum, which can support a Red cloud signal.
You can also use the RSI to see if momentum is slowing down. For example, if the price is going up but the RSI starts to flatten or drop, it might mean the uptrend is losing steam, even if the cloud is still Green. This can help you prepare for a potential trend change.
Settings
EMA Cloud:
Fixed at 3-period EMAs.
Additional MAs:
MA1 Length and MA1 Type: Set the first MA (default: 20, SMA).
MA2 Length and MA2 Type: Set the second MA (default: 50, SMA).
RSI Settings:
RSI Length: Default 14, adjustable.
Source: Default close, adjustable.
Usage
Spot Trends with the Cloud:
A Green cloud means the price is trending up, which can be a good time to buy or hold a position if you’re trading with the trend. It shows the price is moving higher with strength.
A Red cloud means the price is trending down, which can be a good time to sell or short if you’re looking for bearish opportunities. It shows the price is dropping with strength.
A Yellow cloud means the price isn’t showing a clear trend, so it’s often better to wait for a stronger signal before making a move. This helps you avoid getting caught in choppy or sideways markets.
Confirm with MAs:
The two MAs help you confirm the trend shown by the EMA Cloud. For example, if the cloud is Green (uptrend) and the shorter MA (blue) crosses above the longer MA (purple), it’s a stronger sign to buy, as both the cloud and the MAs agree the trend is up. If the cloud is Red (downtrend) and the shorter MA crosses below the longer MA, it’s a stronger sign to sell, as both tools confirm the downtrend.
You can also use the MAs to spot trend changes. If the price breaks above both MAs while the cloud turns Green, it’s a good sign a new uptrend is starting. If the price breaks below both MAs while the cloud turns Red, it’s a sign a new downtrend might be starting.
Check Momentum with RSI:
Use the RSI to see how strong the price movement is. If the RSI is rising, it means the price is gaining momentum, which can support a Green cloud (uptrend) or warn you if the momentum is slowing down in a Red cloud (downtrend). If the RSI is falling, it means the price is losing momentum, which can support a Red cloud or warn you if the momentum is slowing in a Green cloud.
For example, if the cloud is Green and the RSI is rising toward 60, it shows strong upward momentum, giving you more confidence in the uptrend. If the cloud is Red and the RSI is falling toward 40, it shows strong downward momentum, supporting the downtrend.
You can also watch for changes in momentum. If the cloud is Green but the RSI starts to drop, it might mean the uptrend is weakening, even if the price is still going up. This can help you prepare for a potential reversal or pullback.
Accuracy
The EMA Cloud is designed to catch trends by looking at the candle’s full range (high and low prices), not just the close. This makes it more sensitive to real price movements, helping it accurately show when the price is trending up (Green), trending down (Red), or stuck in a neutral zone (Yellow). The 3-period EMAs are short and fast, so the cloud reacts quickly to price changes, which is ideal for short-term trading but might give more signals in choppy markets. The custom MAs add reliability by confirming the trend over a longer period, helping you avoid false signals from the cloud alone. The RSI provides a clear view of momentum, showing you how strong the trend is and whether it’s gaining or losing steam. Together, these tools create a balanced system for trend and momentum analysis, but you should always test it on your specific market and timeframe to see how well it works for your trading style.
Notes
The EMA Cloud uses the candle’s high and low prices to catch the full price movement, making it more accurate for spotting trends.
The cloud colors have a bit of transparency so you can still see the candles clearly.
The RSI sits in its own pane below the chart, while the cloud and MAs are on the price chart.
Credits
To Creators of Original Indicators Used in this Indictor.
Disclaimer
This indicator is for educational purposes only. Trading involves risks, and you should use this tool at your own risk. Always conduct your own analysis and backtest the indicator before using it in live trading. The creators are not responsible for any financial losses incurred.
Mar 28
Release Notes
Added option to select Source of MAs.
This update introduces an advanced crossover confirmation feature to the indicator by leveraging the existing user-defined moving averages (MA1 and MA2). It enhances flexibility and visual feedback through customizable source selection and dynamic color changes based on crossover events. Below are the details of this addition:
Customizable Source Selection:
Users now have the ability to define the price source for each moving average independently through the MA1 Source and MA2 Source input options. Available choices include open, close, high, low, or other price data points, enabling tailored analysis based on specific price behaviors.
Crossover Confirmation Mechanism:
The feature detects crossovers between MA1 and MA2 to provide additional confirmation signals:
A bullish crossover occurs when MA1 crosses above MA2, signaling potential bullish momentum.
A bearish crossover occurs when MA1 crosses below MA2, indicating possible bearish momentum.
These events are identified using precise Pine Script functions (ta.crossover() and ta.crossunder()), ensuring reliable detection of trend shifts.
Dynamic Color Response:
Post-crossover, the visual representation of both MAs adapts to reflect the market condition:
After a bullish crossover (MA1 > MA2), both MA1 and MA2 lines change to green, visually reinforcing an upward trend.
After a bearish crossover (MA1 < MA2), both lines shift to red, highlighting a downward trend.
Prior to any crossover, the MAs default to gray, maintaining neutrality until a significant event occurs. The color persists until the opposite crossover takes place, offering sustained feedback.
Practical Examples for Customization:
MA 3 vs. MA 3 Configuration: Set MA1 to a length of 3 with source open and MA2 to a length of 3 with source close. This fast-moving pair leverages the difference between opening and closing prices, with crossovers providing rapid confirmation signals for short-term traders.
MA 9 vs. MA 20 Crossover: Configure MA1 with a length of 9 and MA2 with a length of 20 (both defaulting to close). This setup captures short-term trends against a medium-term baseline, a popular choice for swing trading.
MA 20 vs. MA 50 Crossover: Assign MA1 a length of 20 and MA2 a length of 50. This classic combination tracks medium-term versus long-term trends, ideal for identifying broader market shifts.
The flexibility of length and source inputs allows users to experiment with countless other pairings tailored to their strategies.
Purpose and Integration:
This crossover functionality enhances the indicator’s utility by offering a clear, visual confirmation tool alongside the existing EMA Cloud and RSI components. It empowers users to monitor momentum shifts with greater confidence, using MA1 and MA2 as a dynamic duo within the broader analytical framework.
Critical User Guidance:
Disclaimer: While this indicator provides valuable insights, it is not a standalone solution for trading decisions. All technical indicators, including this one, merely suggest potential price movements without offering guarantees. To maximize effectiveness and minimize risk, users must complement crossover signals with additional confirmations, such as:
Candlestick Formations: Patterns like doji, engulfing, or hammer candles to validate reversals or continuations.
Support and Resistance Levels: Key price zones to assess the strength of a trend or breakout.
Trendline Breakouts: Confirmation of trend direction through breaches of established lines.
Combining these elements ensures a more robust trading approach, aligning with sound risk management principles.
EMA5 vs EMA13 Crossover (1D)1dklık ema5 vs ema13 crossover deneme bununla 1 dk lık al sat verısı ıncelıyorum
Trailing Monster StrategyTrailing Monster Strategy
This is an experimental trend-following strategy that incorporates a custom adaptive moving average (PKAMA), RSI-based momentum filtering, and dynamic trailing stop-loss logic. It is designed for educational and research purposes only, and may require further optimization or risk management considerations prior to live deployment.
Strategy Logic
The strategy attempts to participate in sustained price trends by combining:
- A Power Kaufman Adaptive Moving Average (PKAMA) for dynamic trend detection,
- RSI and Simple Moving Average (SMA) filters for market condition confirmation,
- A delayed trailing stop-loss to manage exits once a trade is in profit.
Entry Conditions
Long Entry:
- RSI exceeds the overbought threshold (default: 70),
- Price is trading above the 200-period SMA,
- PKAMA slope is positive (indicating upward momentum),
- A minimum number of bars have passed since the last entry.
Short Entry:
- RSI falls below the oversold threshold (default: 30),
- Price is trading below the 200-period SMA,
- PKAMA slope is negative (indicating downward momentum),
-A minimum number of bars have passed since the last entry.
Exit Conditions
- A trailing stop-loss is applied once the position has been open for a user-defined number of bars.
- The trailing distance is calculated as a fixed percentage of the average entry price.
Technical Notes
This script implements a custom version of the Power Kaufman Adaptive Moving Average (PKAMA), conceptually inspired by alexgrover’s public implementation on TradingView .
Unlike traditional moving averages, PKAMA dynamically adjusts its responsiveness based on recent market volatility, allowing it to better capture trend changes in fast-moving assets like altcoins.
Disclaimer
This strategy is provided for educational purposes only.
It is not financial advice, and no guarantee of profitability is implied.
Always conduct thorough backtesting and forward testing before using any strategy in a live environment.
Adjust inputs based on your individual risk tolerance, asset class, and trading style.
Feedback is encouraged. You are welcome to fork and modify this script to suit your own preferences and market approach.
QT KAMAUse a longer-term KAMA to define the bigger trend and a shorter-term KAMA for trading signals. For example, KAMA (10,5,30) could be used as a trend filter and be deemed bullish when rising. Once bullish, chartists could then look for bullish crosses when price moves above KAMA (10,2,30) and vice-versa.
50 EMA Crossover With Monthly DCARecommended Chart Interval = 1W
Overview:
This strategy combines trend-following principles with dollar-cost averaging (DCA), aiming to efficiently deploy capital while minimizing market timing risk.
How It Works:
When the Long Condition is Not Met (i.e., Price < 50 EMA):
- If the price is below the 50 EMA, a fixed DCA amount is added to a cash reserve every month.
- This ensures that capital is consistently accumulated, even when the strategy isn't in a long position.
When the Long Condition is Met (i.e., Price > 50 EMA):
- A long position is opened when the price is above the 50 EMA.
- At this point, the entire capital, including the accumulated cash reserve, is deployed into the market.
- While the strategy is long, a DCA buy order is placed every month using the set DCA amount, continuously investing as the market conditions allow.
Exit Strategy:
If the price falls below the 50 EMA, the strategy closes all positions, and the cash reserve accumulation process begins again.
Key Benefits:
✔ Systematic Investing: Ensures consistent capital deployment while following trend signals.
✔ Cash Efficiency: Accumulates uninvested funds when conditions aren’t met and deploys them at optimal moments.
✔ Risk Management: Exits when the price trend weakens, protecting capital.
Conclusion:
This method allows for efficient capital growth by combining a trend-following approach with disciplined DCA, ensuring risk is managed while capital is deployed systematically at optimal points in the market. 🚀
14 EMA & RSI Combo with First Buy/SellEMA14 & RSI stratergy - Used as a indication for BUY and Sell based on EMA 14 and RSI. Chk for higher timeframe trend and stick to the entries that are following the trend
Moving Average Tolerance BandsDraws a set of Moving Averages with a dynamic band around each average. The band acts as tolerance, to recognize even near-by touches of specified moving averages.
MULTI MEDIAAllows you to insert 5 different MA into the graph with a single script.
For each MA you can select whether SMA or EMA, the length and the data source.
When each MA has a lower value than the previous value the line turns red (you can customize all the colors for UP and DOWN).
MNQ Scalping Strategyquick scalping strategy for mnq uses the macd ema and the vwap to help scalp a trade on the short or long side
RK_RAVI in this script
combination of
EMA 20
EMA 50
TRUE RANGE
AVERAGE TRUE RANGE
DAILY AVERAGE TRUE RANGE
THIS INDECATOR IS DEDICATED TO MY MENTOR MR RAVI R KUMAR
Darvas Box Strategy (No Repeat Signals)📈 Darvas Box Strategy – No Repeated Signals
This script implements the classic Darvas Box indicator on TradingView with a twist:
🚫 No repeated Buy/Sell signals in the same direction until a reversal occurs.
💡 How it works:
The Darvas Box identifies consolidation zones based on historical highs/lows.
A Buy signal triggers when the price breaks above the TopBox.
A Sell signal triggers when the price drops below the BottomBox.
✅ Signals are filtered: after a Buy, no more Buy signals are generated until a Sell appears (and vice versa).
📊 Use it for:
Detecting breakout zones
Preventing overtrading with smarter entries
Strategy building & backtesting
🔧 Customizable Box Length lets you fine-tune how reactive the box zones are.
💻 Now live on TradingView Pine Script v5
🧪 Ideal for strategy development or visual alerts.
🔁 Want it with stop loss, take profit, or alerts? Let me know!
@ coinciyiz
EMA Crossover IndicatorThis script will not perform any trading operations; it’s purely for visualization and generating alerts. You can easily track the crossovers and make manual trading decisions or integrate it with other tools.
Let me know if you need any adjustments!
RSI in pane and 3 EMAs on chartCustom indicator that displays RSI divergence along with bollinger bands on RSI and custom MA
EMA Stack Strength MeterEMA Stack Strength Meter
The EMA Stack Strength Meter is a visual tool designed to help traders quickly assess trend strength and structure based on the alignment of multiple Exponential Moving Averages (EMAs). This indicator uses a five-EMA stack (4, 8, 13, 21, 34) and displays a meter-style histogram that quantifies how strongly the EMAs are aligned in either a bullish or bearish configuration.
How It Works:
The script checks how many of the following conditions are true:
EMA 4 > EMA 8 > EMA 13 > EMA 21 > EMA 34 indicates a Bullish Stack
EMA 4 < EMA 8 < EMA 13 < EMA 21 < EMA 34 indicates a Bearish Stack
For each consecutive pair that satisfies the stack direction, a score is assigned (1 to 4).
These scores are plotted as color-coded horizontal bars:
Green bars at the top of the meter represent bullish stacking
Red bars at the bottom of the meter represent bearish stacking
No bars means EMAs are mixed or flat, suggesting a weak or choppy market
Mixed Bars (Both Bullish and Bearish Showing):
When both bullish and bearish bars appear at the same time, it means the EMAs are partially aligned in opposite directions. This reflects an unclear or transitioning trend. The market may be range-bound, choppy, or indecisive. During such phases, trend-following strategies may underperform, and caution is advised until a full alignment appears in either direction.
Use Cases:
Quickly gauge the trend structure without analyzing each EMA individually
Use it as a trend confirmation filter alongside trade entries
Avoid whipsaws during low-alignment or sideways conditions
Works across any timeframe or asset
All plot levels (Bullish 1 to 4 and Bearish 1 to 4) are always visible in the Style tab for easy customization.
This is a clean, non-overlay visual tool that pairs well with price action strategies, momentum indicators, or systems requiring trend confirmation.
