btc daily major lows test- rsi crossover 27
- ema 100 > ema 377
- btc daily timeframe
every yellow bar are representing major btc lows in an uptrend or ranging market, leading to big opportunities (longs)
the low of the candle under the yellow vertical line is also representing the support level of the range.
if that support breaks, new bear market may begin or actual bear market may continue.
made by phil
Moving Averages
Enhanced Scalping Strategy with Stop Loss📌 Overview
The Enhanced Scalping Strategy with Stop Loss is a trend-following and momentum-based trading system designed for scalpers and short-term traders. It leverages Exponential Moving Averages (EMAs), Relative Strength Index (RSI), and Average True Range (ATR) to identify potential trading opportunities while implementing a stop-loss mechanism to minimize risk.
This script is designed to be used in various timeframes, with optimizations for 1-minute and 5-minute charts. The strategy focuses on momentum breakouts, ensuring that trades are taken in strong trending conditions while filtering out false signals using volatility-based confirmation.
🔍 How It Works
This strategy uses three main indicators to generate trade signals:
1️⃣ Moving Averages (Fast & Slow EMAs)
Fast EMA (default: 9-period)
Slow EMA (default: 21-period)
A bullish crossover (Fast EMA crossing above Slow EMA) signals a potential long trade.
A bearish crossover (Fast EMA crossing below Slow EMA) signals a potential short trade.
2️⃣ Relative Strength Index (RSI)
The RSI is used as an overbought/oversold filter.
Default settings:
Overbought Level: 70 → Avoid long trades when RSI is too high.
Oversold Level: 30 → Avoid short trades when RSI is too low.
3️⃣ Average True Range (ATR) Multiplier
ATR is used to filter out low-volatility conditions.
The script ensures that price exceeds a threshold based on ATR before confirming a trade, reducing false breakouts.
4️⃣ Stop Loss Mechanism
Stop loss is dynamically calculated based on a percentage of the entry price (default: 1%).
Long Trade Stop Loss: Set 1% below entry price.
Short Trade Stop Loss: Set 1% above entry price.
The strategy will automatically exit trades if the stop loss is hit.
🎯 Entry & Exit Conditions
🔵 Long Entry (Buy Signal)
Fast EMA crosses above Slow EMA (Bullish crossover).
RSI is below overbought (70) → Avoid buying into extreme conditions.
Price is above Fast EMA + ATR Multiplier → Ensures a strong trend.
Stops any active short trade before entering long.
🔴 Short Entry (Sell Signal)
Fast EMA crosses below Slow EMA (Bearish crossover).
RSI is above oversold (30) → Avoid shorting into extreme weakness.
Price is below Fast EMA - ATR Multiplier → Ensures a strong trend.
Stops any active long trade before entering short.
🔄 Exit Conditions
Long Trade Exit:
Fast EMA crosses below Slow EMA (Bearish crossover).
OR Stop loss is hit (price drops 1% below entry).
Short Trade Exit:
Fast EMA crosses above Slow EMA (Bullish crossover).
OR Stop loss is hit (price rises 1% above entry).
🛠 How to Use
1️⃣ Adding the Strategy
Open TradingView.
Navigate to the Pine Script Editor.
Copy and paste the script.
Click Add to Chart.
2️⃣ Customizing Settings
Adjust the Moving Average lengths to suit different timeframes.
Modify the RSI overbought/oversold levels for better filtering.
Change the ATR Multiplier to fine-tune the volatility filter.
Customize the Stop Loss Percentage to match your risk tolerance.
3️⃣ Best Timeframes for Scalping
1-Minute (M1): Fast scalping, more signals.
5-Minute (M5): Reduced noise, better trend identification.
15-Minute (M15) and higher: Can be used for intraday trading.
4️⃣ Alerts & Notifications
Set up alerts to receive buy/sell signals.
Alerts include:
Long Entry Alert (Buy Signal)
Short Entry Alert (Sell Signal)
Exit Long Alert (Close Buy Position)
Exit Short Alert (Close Sell Position)
📊 Visuals on the Chart
✅ Buy Signals: Displayed as green upward arrows.
✅ Sell Signals: Displayed as red downward arrows.
✅ EMA Lines:
Fast EMA (blue)
Slow EMA (orange)
✅ RSI Background Coloring:
Red background when RSI is overbought.
Green background when RSI is oversold.
🔎 Pros & Cons
✅ Pros
✔️ Works on multiple timeframes with automatic adjustments.
✔️ Uses ATR to confirm trends, reducing false signals.
✔️ Built-in stop loss for better risk management.
✔️ Alerts & visual signals for easy trade execution.
✔️ Can be customized for different trading styles.
❌ Cons
❌ May perform poorly in ranging markets.
❌ Stop-loss percentage may need optimization for different assets.
❌ Higher timeframes might require different parameters for best performance.
Multiple MAs with Compact Labels Defines and plots multiple moving averages (MAs) on a TradingView chart, including two Exponential Moving Averages (EMAs) with periods of 9 and 21, and five Simple Moving Averages (SMAs) with periods of 10, 20, 50, 100, and 200. Each MA is plotted with a distinct color and labeled accordingly.
RV 5 Min Scalping StrategyHow This Script Works
1. Trend Filter Using 5-Minute Data:
The 200‑period EMA is calculated on a 5‑minute timeframe via the request.security() function. Long trades are allowed only if the current close (on the 1‑minute chart) is above this EMA; short trades are allowed only if below it.
2. 1-Minute Entry Conditions:
On the local (1‑minute) chart, a 20‑period EMA is used. A long entry is triggered when the price crosses above the 20‑EMA, while a short entry is triggered when it crosses below.
3. Risk Management:
The risk per trade is set to 0.5% (riskPerc = 0.005) of the entry price. The stop loss is placed 0.5% away from the entry, and the take profit is set at twice that distance (1:2 risk–reward).
4. Debug Visuals:
Small shape markers (green for longs, red for shorts) are plotted on the chart so you can verify when conditions are met.
Next Steps
• Backtesting:
Run this strategy on historical 1‑minute data while ensuring your chart is set to 1‑minute. Confirm that the 5‑minute trend filter (ema200_5) is working correctly.
• Optimization:
You may adjust the EMA lengths, risk percentage, or even the entry conditions (for example, using additional confirmation like volume or other indicators) to further optimize profitability for scalping.
• Real-Time Considerations:
Scalping strategies can be sensitive to execution delays and spread. When forward-testing, consider the fill conditions and the effect of recalculation on every tick.
Dynamic MA Divergence System (DMDS) **Indicator Name:** Dynamic MA Divergence System (DMDS)
**Description:**
The Dynamic MA Divergence System (DMDS) is a multi-functional technical analysis tool designed to identify trend strength, momentum shifts, and potential reversal signals. By combining moving average differentials with adaptive volatility thresholds, this indicator provides a clear visual representation of market dynamics across any timeframe.
**Key Features:**
1. **Dual MA Differential**
- Tracks the difference between two customizable moving averages (SMA/EMA)
- Visualized as a colored oscillator for quick trend bias identification
2. **Smart Divergence Detection**
- Automatically marks price-indicator divergences with intuitive arrows
- Filters minor fluctuations via adjustable amplitude thresholds
**Usage Suggestions:**
- **Trend Confirmation**: Use the oscillator’s position relative to the zero line
- **Reversal Signals**: Watch for divergence patterns with price action
- **Volatility Scaling**: Adjust channel multiplier for ranging/trending markets
**Parameters:**
- MA Periods (6/60default)
- Volatility Period (20 bars)
- Divergence Detection Length (50 bars)
**Community Guidelines Compliance:**
- No repainting
- No future-looking calculations
- Fully customizable inputs
- Clear risk disclaimer in code comments
*Note: This tool is designed for educational/research purposes. Always combine with other analysis methods and proper risk management.*
---
This description adheres to TradingView’s standards by:
1. Avoiding profit guarantees
2. Using neutral, non-promotional language
3. Clearly explaining functionality
4. Including proper categorization (Oscillator type)
5. Providing transparent parameter explanations
EMA 20-50-200 & Hammer Pattern Detector/*
**English**
### Indicator Description
**Indicator Name:**
EMA 20, 50, 200 & Hammer Pattern with Signal Detection
## Features:
// 1. EMA Trend Phase Analysis
// - The indicator uses EMAs (20, 50, and 200) to determine market trends.
// - Green: "3Phases" (Bullish trend), Red: "6Phases" (Bearish trend), Gray: "Neutral".
// - EMAs are displayed in Blue (20), Orange (50), and Red (200).
// - Labels above the last candle show the respective EMA values.
// 2. Hammer Candlestick Pattern Detection
// - Identifies Hammer candlestick patterns as potential reversal signals.
// - Criteria: Upper shadow not larger than the body, lower shadow at least twice the body size.
// - Marked with a green triangle below the candle.
// 3. Signal for Three Candles Below a Local High
// - Detects when three consecutive candles close below a previous high.
// - Marked with a red diamond above the third confirming candle.
// 4. Visual Indicators (Boxes in the Top Right)
// - Displays two information boxes:
// - First Box: Trend phases (Green: "3Phases", Red: "6Phases", Gray: "Neutral").
// - Second Box (Blue): Appears when the weakness signal is active ("Signal Active").
// - Text color is always white for better readability.
## Usage:
// - Easily identify market trends using EMAs.
// - Detect potential reversal points through Hammer candlesticks.
// - Analyze weakness signals after a market high.
// - Clear visualization for quick decision-making.
**German**
### Beschreibung des Indikators
**Indikatorname:**
EMA 20, 50, 200 & Hammer Pattern mit Signal-Erkennung
## Funktionen:
// 1. EMA-Trendphasenanalyse
// - Der Indikator nutzt die EMAs (20, 50 und 200), um Markttrends zu erkennen.
// - Grün: "3Phasen" (Bullischer Trend), Rot: "6Phasen" (Bärischer Trend), Grau: "Neutral".
// - EMAs werden in Blau (20), Orange (50) und Rot (200) dargestellt.
// - Labels über der letzten Kerze zeigen die EMA-Werte an.
// 2. Hammer-Kerzenmuster-Erkennung
// - Identifiziert Hammer-Kerzenmuster als potenzielle Umkehrsignale.
// - Kriterien: Oberer Schatten nicht größer als der Körper, unterer Schatten mindestens doppelt so groß wie der Körper.
// - Markierung mit grünem Dreieck unter der Kerze.
// 3. Signal für drei Kerzen unter einem lokalen Hoch
// - Erkennt, wenn nach einem Hoch drei aufeinanderfolgende Kerzen unterhalb dieses Hochs schließen.
// - Markierung mit einem roten Diamanten über der dritten Kerze.
// 4. Visuelle Anzeigen (Kästen oben rechts)
// - Zeigt zwei Informationskästen an:
// - Erster Kasten: Trendphasen (Grün: "3Phasen", Rot: "6Phasen", Grau: "Neutral").
// - Zweiter Kasten (Blau): Erscheint, wenn das Schwäche-Signal aktiv ist ("Signal Active").
// - Schriftfarbe immer weiß für bessere Sichtbarkeit.
## Anwendungsmöglichkeiten:
// - Markttrends einfach identifizieren durch EMAs.
// - Potenzielle Umkehrpunkte erkennen durch Hammer-Kerzen.
// - Schwäche-Signale nach einem Hoch analysieren.
// - Klare Visualisierung für schnelles Trading.
*/
Dynamic Deviation Levels [BigBeluga]Dynamic Deviation Levels is an innovative indicator designed to analyze price deviations relative to a smoothed midline. It provides traders with visual cues for overbought/oversold zones, price momentum, levels through labeled deviations and gradient candle coloring.
🔵Key Features:
Smoothed Midline:
A central line calculated as a smoothed median of the price source, serving as the baseline for price deviation analysis.
Dynamic Deviation Levels:
- Three deviation levels are plotted above and below the midline, with labels (1, 2, 3, -1, -2, -3) marking significant price movements.
- Helps traders identify overbought and oversold market conditions.
Heat-Colored Candles:
- Candle colors shift in intensity based on the deviation level, with four gradient shades for both upward and downward movements.
- Quickly highlights market extremes or stable zones.
Interactive Color Scale:
- A gradient scale at the bottom right of the chart visually represents deviation values.
- A triangle marker indicates the current price deviation in real time.
Optional Deviation Levels Display:
- Traders can enable all dynamic levels on the chart to visualize support and resistance areas dynamically.
🔵Usage and Benefits:
Identify Overbought/Oversold Zones: Use labeled deviation levels and heat-colored candles to spot stretched market conditions.
Track Trend Reversals and Momentum: Monitor price interactions with deviation levels for potential trend continuation or reversal signals.
Real-Time Deviation Insights: Leverage the color scale and triangle marker for live deviation tracking and actionable insights.
Map Dynamic Support and Resistance: Enable dynamic levels to highlight key areas where price reactions are likely to occur.
Dynamic Deviation Levels is an indispensable tool for traders aiming to combine price dynamics, momentum analysis, and visual clarity in their trading strategies.
Moving Average Hamming-RKMoving Average Hamming
Description:
A Moving Average using a Hamming window is a technique used in technical analysis to smooth price data. The Hamming window applies weighted smoothing, reducing sharp variations and edge effects in the data. This helps in identifying trends more effectively while minimizing noise.
It can be used in combination with other technical indicators for better market analysis.
Technical Use:
The Hamming Moving Average reduces high-frequency noise, making trends clearer.
It applies different weights to data points, giving more importance to the center of the window while reducing the impact of abrupt changes.
This method is particularly useful in trend-following strategies as it minimizes false breakouts.
It can also be integrated into algorithmic trading systems for improved price fluctuation filtering.
When to Take a Position:
Buy Signal: When the price crosses above the Hamming Moving Average, indicating a potential uptrend.
Sell Signal: When the price crosses below the Hamming Moving Average, signaling a possible downtrend.
Confirmation: Combine with other indicators like RSI or MACD to confirm the trend before entering a trade.
Avoid Choppy Markets: The indicator works best in trending markets; avoid using it in sideways or ranging conditions.
This approach helps traders refine their analysis, making informed decisions while reducing market noise.
Market Trend Scanner [Afnan]This Market Strength Scanner indicator is designed to provide traders with a clear and concise overview of market trends using a single table. It helps you quickly determine which sectors and indices are strong, weak, or choppy, allowing you to make informed trading decisions with ease.
How This Indicator Helps You:
✅ Identify Strong Sectors & Indices
🔹By analyzing this table, you can instantly see which sectors and indices are performing well.
🔹Focus on stocks within strong sectors to find high-probability buying opportunities.
✅ Avoid Weak or Choppy Markets
🔹The indicator highlights bearish or consolidating sectors, helping you avoid poor trading conditions.
🔹Stay away from sectors that are weak or moving sideways to reduce unnecessary risks.
✅ Understand Market Sentiment in Seconds
🔹If most sectors are bullish, the market is in an uptrend—giving you confidence to take long positions.
🔹If the majority are bearish, the market is weak, signaling caution.
🔹A mix of bullish and bearish sectors indicates a choppy market, warning you to avoid trading or adjust your strategy.
✅ Powered by 4 Customizable EMAs
🔹The indicator uses 4 Exponential Moving Averages (EMAs) to determine trends for each sector and index.
🔹These EMAs are fully modifiable, allowing you to adjust them based on your preferred strategy.
✅ Covers 25 Major Indices (Fully Customizable)
🔹By default, the indicator tracks 25 key indices, giving you a broad market perspective.
🔹You can customize the list to focus on the indices that matter most to you.
Why Use This Indicator?
🔹 Saves Time – No need to analyze multiple charts manually. The table gives you everything at a glance.
🔹 Improves Trade Selection – Focus only on strong sectors for better trade accuracy.
🔹 Works in All Market Conditions – Whether the market is trending or consolidating, this tool keeps you informed.
🔹 Fully Customizable – Adjust the EMAs and indices according to your trading preferences.
With just this one powerful indicator, you get a complete market overview, helping you align your trades with the current trend effortlessly! 🚀
4 SMA's and Volume signsthis script aims to show the main candles which cross the SMA with it is Volume. this is for advanced analysis. you can use it to enhance the strategies
kazzi_brahim1Here’s a simple strategy combining indicators:
Trend Identification: Use a 50-period EMA to determine the trend (price above EMA = uptrend, price below EMA = downtrend).
Entry Signal: Use RSI to identify overbought/oversold conditions in the direction of the trend.
Confirmation: Use MACD to confirm momentum.
Exit: Set a stop-loss below the recent swing low (for long trades) or above the recent swing high (for short trades). Take profit at a 2:1 risk-reward ratio.
MACD + ATR Dynamic Stop-Loss StrategyThis strategy combines momentum (MACD), trend confirmation (EMA), and volatility-based risk management (ATR) for a robust trading approach.
Break & Retest with EMAs (Balanced Signals) This script was created using ChatGPT 4. I created it for trading Futures. It uses the Triple EMA's with the Green set at 9 days, the Orange set at 20 days and the Red set for 50 days. It takes into account the Previous Day H&L, the Previous 4 Hour H&L and the Five minute Opening H&L.
I use it for the S&P 500, the NQ and GC Futures but it should work with all of them. If you have any issues with it, please feel free to reach out.
Enjoy!
Multi-SMA Strategy - Core SignalsTick-Precise Cross Detection:
Uses bar's high/low for real-time cross detection
Compares current price action with previous bar's position
Works across all timezones and trading sessions
Three-Layer Trend Filter:
Requires 50 > 100 > 200 SMA for uptrends
Requires 50 < 100 < 200 SMA for downtrends
Adds inherent market structure confirmation
Responsive Exit System:
Closes longs when price breaks below 20 SMA
Closes shorts when price breaks above 20 SMA
Uses same tick-precise logic as entries
Universal Time Application:
No fixed time references
Pure price-based calculations
Works on any chart timeframe (1m - monthly)
Signal Logic Summary:
+ Long Entry: Tick cross above 50 SMA + Uptrend hierarchy
- Long Exit: Price closes below 20 SMA
+ Short Entry: Tick cross below 50 SMA + Downtrend hierarchy
- Short Exit: Price closes above 20 SMA
Komut
//@version=5
strategy("Multi-SMA Strategy - Core Signals", overlay=true)
// ———— Universal Inputs ———— //
int smaPeriod1 = input(20, "Fast SMA")
int smaPeriod2 = input(50, "Medium SMA")
bool useTickCross = input(true, "Use Tick-Precise Crosses")
// ———— Timezone-Neutral Calculations ———— //
sma20 = ta.sma(close, smaPeriod1)
sma50 = ta.sma(close, smaPeriod2)
sma100 = ta.sma(close, 100)
sma200 = ta.sma(close, 200)
// ———— Tick-Precise Cross Detection ———— //
golden_cross = useTickCross ?
(high >= sma50 and low < sma50 ) :
ta.crossover(sma20, sma50)
death_cross = useTickCross ?
(low <= sma50 and high > sma50 ) :
ta.crossunder(sma20, sma50)
// ———— Trend Filter ———— //
uptrend = sma50 > sma100 and sma100 > sma200
downtrend = sma50 < sma100 and sma100 < sma200
// ———— Entry Conditions ———— //
longCondition = golden_cross and uptrend
shortCondition = death_cross and downtrend
// ———— Exit Conditions ———— //
exitLong = ta.crossunder(low, sma20)
exitShort = ta.crossover(high, sma20)
// ———— Strategy Execution ———— //
strategy.entry("Long", strategy.long, when=longCondition)
strategy.entry("Short", strategy.short, when=shortCondition)
strategy.close("Long", when=exitLong)
strategy.close("Short", when=exitShort)
// ———— Clean Visualization ———— //
plot(sma20, "20 SMA", color.new(color.blue, 0))
plot(sma50, "50 SMA", color.new(color.red, 0))
plot(sma100, "100 SMA", color.new(#B000B0, 0), linewidth=2)
plot(sma200, "200 SMA", color.new(color.green, 0), linewidth=2)
// ———— Signal Markers ———— //
plotshape(longCondition, "Long Entry", shape.triangleup, location.belowbar, color.green, 0)
plotshape(shortCondition, "Short Entry", shape.triangledown, location.abovebar, color.red, 0)
plotshape(exitLong, "Long Exit", shape.xcross, location.abovebar, color.blue, 0)
plotshape(exitShort, "Short Exit", shape.xcross, location.belowbar, color.orange, 0)
BORSI StrategyEMA: The strategy uses a 50-period EMA to determine the trend direction.
Buy Condition: The price must be above the EMA (indicating an uptrend).
Sell Condition: The price must be below the EMA (indicating a downtrend).
RSI: The RSI is used to identify overbought and oversold conditions:
Buy Condition: The RSI crosses above the oversold level (30) when the price is above the EMA.
Sell Condition: The RSI crosses below the overbought level (70) when the price is below the EMA.
Multi-SMA Strategy - Core SignalsTick-Precise Cross Detection:
Uses bar's high/low for real-time cross detection
Compares current price action with previous bar's position
Works across all timezones and trading sessions
Three-Layer Trend Filter:
Requires 50 > 100 > 200 SMA for uptrends
Requires 50 < 100 < 200 SMA for downtrends
Adds inherent market structure confirmation
Responsive Exit System:
Closes longs when price breaks below 20 SMA
Closes shorts when price breaks above 20 SMA
Uses same tick-precise logic as entries
Universal Time Application:
No fixed time references
Pure price-based calculations
Works on any chart timeframe (1m - monthly)
Signal Logic Summary:
+ Long Entry: Tick cross above 50 SMA + Uptrend hierarchy
- Long Exit: Price closes below 20 SMA
+ Short Entry: Tick cross below 50 SMA + Downtrend hierarchy
- Short Exit: Price closes above 20 SMA
Komut
//@version=5
strategy("Multi-SMA Strategy - Core Signals", overlay=true)
// ———— Universal Inputs ———— //
int smaPeriod1 = input(20, "Fast SMA")
int smaPeriod2 = input(50, "Medium SMA")
bool useTickCross = input(true, "Use Tick-Precise Crosses")
// ———— Timezone-Neutral Calculations ———— //
sma20 = ta.sma(close, smaPeriod1)
sma50 = ta.sma(close, smaPeriod2)
sma100 = ta.sma(close, 100)
sma200 = ta.sma(close, 200)
// ———— Tick-Precise Cross Detection ———— //
golden_cross = useTickCross ?
(high >= sma50 and low < sma50 ) :
ta.crossover(sma20, sma50)
death_cross = useTickCross ?
(low <= sma50 and high > sma50 ) :
ta.crossunder(sma20, sma50)
// ———— Trend Filter ———— //
uptrend = sma50 > sma100 and sma100 > sma200
downtrend = sma50 < sma100 and sma100 < sma200
// ———— Entry Conditions ———— //
longCondition = golden_cross and uptrend
shortCondition = death_cross and downtrend
// ———— Exit Conditions ———— //
exitLong = ta.crossunder(low, sma20)
exitShort = ta.crossover(high, sma20)
// ———— Strategy Execution ———— //
strategy.entry("Long", strategy.long, when=longCondition)
strategy.entry("Short", strategy.short, when=shortCondition)
strategy.close("Long", when=exitLong)
strategy.close("Short", when=exitShort)
// ———— Clean Visualization ———— //
plot(sma20, "20 SMA", color.new(color.blue, 0))
plot(sma50, "50 SMA", color.new(color.red, 0))
plot(sma100, "100 SMA", color.new(#B000B0, 0), linewidth=2)
plot(sma200, "200 SMA", color.new(color.green, 0), linewidth=2)
// ———— Signal Markers ———— //
plotshape(longCondition, "Long Entry", shape.triangleup, location.belowbar, color.green, 0)
plotshape(shortCondition, "Short Entry", shape.triangledown, location.abovebar, color.red, 0)
plotshape(exitLong, "Long Exit", shape.xcross, location.abovebar, color.blue, 0)
plotshape(exitShort, "Short Exit", shape.xcross, location.belowbar, color.orange, 0)
Ichimoku Cloud with EMA and TREND Ichimoku Cloud + EMA 34 & EMA 50 Crossover Trading Strategy
This strategy combines the Ichimoku Cloud with Exponential Moving Averages (EMA 34 & EMA 50) to identify strong trends and high-probability trade entries.
1. Components of the Strategy
🔹 Ichimoku Cloud (Kumo)
The Ichimoku Cloud is a comprehensive indicator that provides trend direction, support/resistance levels, and momentum. The key components include:
Kumo (Cloud): The shaded area that indicates trend strength and direction.
Tenkan-Sen (Conversion Line, 9-period): Short-term trend indicator.
Kijun-Sen (Base Line, 26-period): Medium-term trend indicator.
Chikou Span (Lagging Line, 26 periods back): Confirms trends when above or below price.
Senkou Span A & B (Leading Span A & B, forming the Cloud): Defines support/resistance levels.
🔹 EMA 34 & EMA 50 (Exponential Moving Averages)
EMA 34: A short-term trend-following indicator that reacts quickly to price changes.
EMA 50: A medium-term trend indicator that helps confirm trend direction.
Crossover Signal:
Bullish Crossover: EMA 34 crosses above EMA 50 → Uptrend Confirmation.
Bearish Crossover: EMA 34 crosses below EMA 50 → Downtrend Confirmation.
2. Entry & Exit Rules
✅ Bullish Entry (Buy Setup)
Price above the Ichimoku Cloud → Confirms an uptrend.
EMA 34 crosses above EMA 50 → Confirms bullish momentum.
Tenkan-Sen is above Kijun-Sen → Strong trend confirmation.
Chikou Span is above the price & Cloud → Confirms strength in the trend.
Entry Trigger: Enter a buy trade when the above conditions are met.
🔹 Stop-Loss (SL): Below the Cloud or recent swing low.
🔹 Take Profit (TP):
First TP at 1:2 risk-reward ratio.
Second TP at major resistance levels.
❌ Bearish Entry (Sell Setup)
Price below the Ichimoku Cloud → Confirms a downtrend.
EMA 34 crosses below EMA 50 → Confirms bearish momentum.
Tenkan-Sen is below Kijun-Sen → Strong trend confirmation.
Chikou Span is below the price & Cloud → Confirms bearish trend.
Entry Trigger: Enter a sell trade when the above conditions are met.
🔹 Stop-Loss (SL): Above the Cloud or recent swing high.
🔹 Take Profit (TP):
First TP at 1:2 risk-reward ratio.
Second TP at key support levels.
3. Advantages of This Strategy
✅ Combines momentum and trend confirmation → Higher accuracy in identifying strong trends.
✅ Works well in trending markets → Filters out sideways markets.
✅ Ichimoku Cloud provides dynamic support/resistance → Helps in stop-loss placement.
Leading Indicator - MACD + RSI### *How It Works*
1. *MACD*:
- The MACD line is calculated as the difference between the 12-period and 26-period exponential moving averages (EMAs).
- A signal line (9-period EMA of the MACD line) is used to generate crossover signals.
2. *RSI*:
- RSI is used to measure momentum and identify overbought/oversold conditions.
- Signals are filtered to avoid overbought/oversold zones, ensuring the indicator acts as a leading tool.
3. *Signals*:
- A *BUY* signal is generated when:
- MACD line crosses above the signal line (bullish momentum).
- RSI is above the oversold level but below the overbought level (momentum is building).
- A *SELL* signal is generated when:
- MACD line crosses below the signal line (bearish momentum).
- RSI is below the overbought level but above the oversold level (momentum is weakening).
---
### *How to Use*
1. Copy and paste the script into TradingView's Pine Script editor.
2. Add the indicator to your chart.
3. Adjust the input parameters (e.g., MACD lengths, RSI length) to suit your trading style.
4. Use the BUY/SELL signals to identify potential entry and exit points.
---
### *Customization*
- You can add more filters, such as volume or trend confirmation (e.g., using a moving average).
- Experiment with different lengths for MACD and RSI to optimize for your preferred time frame.
5SMA Trend filter w/optional 10,20,50,200 moving averagesTrend filter indicator to determine ideal price action for long or short trades.
Cloud attached between price and 5SMA.
Using the 5SMA direction and relativity to price, two signals to help filter out head fakes.
If price > 5SMA and SMA pointing up then green cloud.
If price < 5SMA and SMA point down then red cloud.
If price > 5SMA and SMA pointing down or price < 5SMA and 5SMA pointing up then
Optional 10,20,50,200 simple moving averages.
Compatible with multiple timeframes.
EMA MTF Crossover [Two]R = Reverse signal in Weekly
C = Continue signal in Daily
Two = Early signal in 1H
Indicator for myself but i'm public FREE for all friend using
Radial Oscillation Indicator – Overbought & Oversold ZonesThe Radial Oscillation Indicator is designed to analyze price movements based on a circular approach, mapping price fluctuations into angles (0° to 360°). This transformation allows for intuitive visualization of overbought and oversold zones, making it easier to detect potential reversals.
🔹 Key Features:
✔ Converts price movement into degrees (0° to 360°)
✔ Highlights overbought (≥315°) and oversold (≤45°) areas
✔ Uses background shading for clear trend identification
✔ Includes buy (↑) and sell (↓) arrows for easy signal spotting
✔ Provides smoother oscillation with adjustable period and smoothing factor
🛠 How to Use:
Look for buy signals when the degree is in the oversold zone and crosses above zero.
Look for sell signals when the degree is in the overbought zone and crosses below zero.
Adjust the period and smoothing factor to fine-tune sensitivity.
This indicator is ideal for traders looking for a unique and effective way to visualize price momentum.
Volume Pressure TrackerThis is just like the top 6 trend indictor (NASDAQ 100 Top 6 Trend Indicator) but instead of calculating price action this indicator averages the volume of your ticker symbols. You can also just use 1 ticker symbol. If you're trading an Index fund like NASDAQ or RUSSELL you should use all 6 ticker inputs. If you are trading BTCUSDT for example just use that one ticker input.
Not sure how well this works.
Let me know in the comments
Lemon Squeazy out!!!
EMA-based Trading Signal by GideonM for Indian MarketsAnother indicator for Indian Markets. Works best 5 mins on Nifty, Bank Nifty, Sensex.
How It Works:
Buy Signal: When the short-term EMA crosses above the long-term EMA and the momentum is positive, it suggests a bullish market, and a buy signal is generated.
Sell Signal: When the short-term EMA crosses below the long-term EMA and the momentum is negative, it suggests a bearish market, and a sell signal is generated.
You’ll see the EMA-based trading signals generated in real-time.
Adjustments:
You can adjust the window sizes for the short and long EMAs to fit your strategy.
You can also modify the momentum window to define how far back the momentum calculation should consider.
Experiment with the logic (e.g., adding more conditions) to fine-tune the signals.
This indicator should give you a responsive indicator that reacts quickly to price movements by using EMA crossovers and momentum as predictive features.
Good luck!!
