Bollinger Bounce Reversal Strategy – Visual EditionOverview:
The Bollinger Bounce Reversal Strategy – Visual Edition is designed to capture potential reversal moves at price extremes—often termed “bounce points”—by using a combination of technical indicators. The strategy integrates Bollinger Bands, MACD, and volume analysis, and it provides rich on‑chart visual cues to help traders understand its signals and conditions. Additionally, the strategy enforces a maximum of 5 trades per day and uses fixed risk management parameters. This publication is intended for educational purposes and offers a systematic, transparent approach that you can further adjust to fit your market or risk profile.
How It Works:
Bollinger Bands:
A 20‑period simple moving average (SMA) and a user‑defined standard deviation multiplier (default 2.0) are used to calculate the Bollinger Bands.
When the price reaches or crosses these bands (i.e. falls below the lower band or rises above the upper band), it suggests that the price is in an extreme, potentially oversold or overbought, state.
MACD Filter:
The MACD (calculated with standard lengths, e.g. 12, 26, 9) provides momentum information.
For a bullish (long) signal, the MACD line should be above its signal line; for a bearish (short) signal, the MACD line should be below.
Volume Confirmation:
The strategy uses a 20‑period volume moving average to determine if current volume is strong enough to validate a signal.
A signal is confirmed only if the current volume is at or above a specified multiple (by default, 1.0×) of this moving average, ensuring that the move is supported by increased market participation.
Visual Cues:
Bollinger Bands and Fill: The basis (SMA), upper, and lower Bollinger Bands are plotted, and the area between the upper and lower bands is filled with a semi‑transparent color.
Signal Markers: When a long or short signal is generated, corresponding markers (labels) appear on the chart.
Background Coloring: The chart’s background changes color (green for long signals and red for short signals) on the bars where signals occur.
Information Table: An on‑chart table displays key indicator values (MACD, signal line, volume, average volume) and the number of trades executed that day.
Entry Conditions:
Long Entry:
A long trade is triggered when the previous bar’s close is below the lower Bollinger Band and the current bar’s close crosses above it, combined with a bullish MACD condition and strong volume.
Short Entry:
A short trade is triggered when the previous bar’s close is above the upper Bollinger Band and the current bar’s close crosses below it, with a bearish MACD condition and high volume.
Risk Management:
Daily Trade Limit: The strategy restricts trading to no more than 5 trades per day.
Stop-Loss and Take-Profit:
For each position, a stop loss is set at a fixed percentage away from the entry price (typically 2%), and a take profit is set to target a 1:2 risk-reward ratio (typically 4% from the entry price).
Backtesting Setup:
Initial Capital: $10,000
Commission: 0.1% per trade
Slippage: 1 tick per bar
These realistic parameters help ensure that backtesting results reflect the conditions of an average trader.
Disclaimer:
Past performance is not indicative of future results. This strategy is experimental and provided solely for educational purposes. It is essential to backtest extensively and paper trade before any live deployment. All risk management practices are advisory, and you should adjust parameters to suit your own trading style and risk tolerance.
Conclusion:
By combining Bollinger Bands, MACD, and volume analysis, the Bollinger Bounce Reversal Strategy – Visual Edition provides a clear, systematic method to identify potential reversal opportunities at price extremes. The added visual cues help traders quickly interpret signals and assess market conditions, while strict risk management and a daily trade cap help keep trading disciplined. Adjust and refine the settings as needed to better suit your specific market and risk profile.
Indicators and strategies
Support, Resistance and MedianExplanation of the Support, Resistance, and Pivot Indicator
This indicator functions as follows:
1. Key Level Calculations:
- Pivot Point (PP): Central level calculated using the previous period's high, low, and closing prices.
- Supports (S1, S2, S3): Potential price support zones, derived from the PP.
- Resistances (R1, R2, R3): Potential price resistance zones, also calculated from the PP.
2. True Range (TR) Levels:
- Alternative calculations for supports and resistances based on recent volatility (TR_R1, TR_R2, TR_S1, TR_S2).
3. Visual Display:
- Levels are automatically plotted on the chart, allowing for quick identification of key zones.
4. Usage:
- Helps identify entry and exit points, as well as levels for placing stop-loss and take-profit orders.
- Particularly useful for intraday and swing traders.
5. Flexibility:
- The indicator can be applied to various assets and timeframes.
6. Customization:
- Option to adjust parameters such as the historical period for level calculations.
This indicator combines traditional technical analysis with automated calculations to provide traders with key levels to watch in the market.
shubham 2.00one of the best strategy you ever get must give it a try or not i don care it works for me the best
5D-SMA+4hMACDSession VWAP:
Uses the change in time("D") to detect a new day and resets the cumulative price‐volume and volume totals. The VWAP is then the cumulative price × volume divided by the cumulative volume.
2‑Day VWAP:
Maintains separate accumulators for the current day and the previous day. On a new day, the previous day’s totals are saved and then added to the current day’s running totals to compute a VWAP spanning the two most recent days.
Weekly VWAP:
Uses ta.change(time("W")) to reset the weekly accumulators at the start of a new week.
Anchored VWAP:
Begins accumulation when the current bar’s time exceeds the user‐defined anchor time. Once started, it continues to accumulate indefinitely.
Feel free to modify the inputs and styling to suit your preferences.
Scalping ML Strategy with Buy/Sell Signals //@version=5
strategy("Scalping ML Strategy with Buy/Sell Signals", overlay=true)
// Indicators
fastMA = ta.sma(close, 10) // Fast Moving Average
slowMA = ta.sma(close, 30) // Slow Moving Average
rsi = ta.rsi(close, 14) // Relative Strength Index
// Entry Conditions
longCondition = ta.crossover(fastMA, slowMA) and rsi < 30
shortCondition = ta.crossunder(fastMA, slowMA) and rsi > 70
// Execute Trades
if (longCondition)
strategy.entry("Buy", strategy.long) // Buy Signal
if (shortCondition)
strategy.entry("Sell", strategy.short) // Sell Signal
// Risk Management: Take-Profit and Stop-Loss
strategy.exit("Exit Buy", from_entry="Buy", profit=2, loss=1)
strategy.exit("Exit Sell", from_entry="Sell", profit=2, loss=1)
// Plot Buy/Sell Arrows using plotarrow
plotarrow(series=longCondition ? 1 : na, title="Buy Arrow", colorup=color.green, maxheight=50, offset=-1)
plotarrow(series=shortCondition ? -1 : na, title="Sell Arrow", colordown=color.red, maxheight=50, offset=-1)
// Plot Buy/Sell Signals as labels for clarity
plotshape(series=longCondition, title="Buy Signal", location=location.belowbar, color=color.green, style=shape.labelup, text="BUY")
plotshape(series=shortCondition, title="Sell Signal", location=location.abovebar, color=color.red, style=shape.labeldown, text="SELL")
Candlestick Pattern Identifier by dnsfor begginers who ant to learn about candel stick it ill help you identify the candels
Pivot Breakouts with MA FilterPivot Breakouts with MA Filter
This script identifies pivot breakouts (both bullish and bearish) using support and resistance levels and overlays breakout labels, arrows, and customizable Moving Averages. It allows traders to fine-tune their analysis with multiple options to customize the display and behavior of the breakout signals.
Key Features:
Pivot Support and Resistance:
Support is defined by the lowest low in a given range (using the lookback period).
Resistance is defined by the highest high in a given range (using the lookback period).
The script draws support and resistance boxes on the chart when these levels change, providing clear visual markers for potential breakout areas.
Breakout Detection:
Bullish Breakout: A breakout above resistance and the price is above the selected moving average (MA).
Bearish Breakout: A breakdown below support and the price is below the selected MA.
Breakout events trigger labels indicating "Resistance Breakout" (for bullish) and "Support Breakout" (for bearish).
The option to show Breakout Labels (with customizable colors) is available in the settings.
Moving Average Filter:
You can select the type of moving average (SMA or EMA) to use for filtering breakout signals.
MA Filter Length: This input allows you to set the period of the moving average to act as a filter for breakout conditions. This helps ensure the breakout aligns with the broader trend.
Multiple Moving Averages (Optional):
You can add up to four different moving averages (SMA or EMA), each with its own length and color.
You have the option to toggle each moving average on or off and adjust their appearance settings (color and length).
The script supports dynamic plots for each moving average, helping to visualize multiple trends at once.
Breakout Arrows:
The script can display arrows (or other shapes) below the bar for bullish breakouts and above the bar for bearish breakouts.
Arrows are optional and can be turned on/off in the settings.
You can customize the shape of the arrows (e.g., arrow, circle, square, or even a large or small triangle).
Customizable Colors and Labels:
The color of the breakout labels and arrows can be customized in the settings to make them fit your chart's style and personal preferences.
Alerts:
Alerts can be set for new support and resistance levels, as well as when breakouts occur (either bullish or bearish).
The alert system helps to notify traders when significant price action takes place without needing to constantly monitor the chart.
Settings:
Select Moving Average Type (SMA or EMA)
MA Filter Length: Length of the moving average used for filtering breakout conditions.
Lookback Range: Determines the range over which the pivot points (support and resistance) are calculated.
Breakout Labels: Option to turn on/off breakout labels, and customize label colors.
Show Breakout Arrows: Enable or disable breakout arrows with shape options (arrow, circle, square, large triangle, small triangle).
Multiple Moving Averages: Option to show up to 4 MAs with customizable colors and lengths.
Customized RSI - Thiru Yadav, Hyd, INFixes:
Bollinger Bands Fill:
Replaced hline with plot for bbUpperBand and bbLowerBand.
Used fill with plot objects instead of hline.
Display Logic:
Added display=isBB ? display.all : display.none to ensure Bollinger Bands are only displayed when the MA type is set to "Bollinger Bands".
How It Works:
The script now correctly handles the Bollinger Bands fill by using plot instead of hline.
The rest of the logic remains the same, including buy/sell signals and gradient fills for overbought/oversold levels.
Notes:
Ensure the MA type is set to "Bollinger Bands" to see the Bollinger Bands on the chart.
You can customize the overbought/oversold levels and RSI length to suit your trading strategy.
RSI Stoic Strategy 15minit works best for bitcoin RSI Stoic Strategy for 15-Minute Bitcoin Chart
This strategy combines the powerful RSI (Relative Strength Index) with a disciplined approach inspired by Stoicism. It aims to help traders maintain emotional control and make logical, rational decisions by setting clear boundaries for trade entries and exits.
Key Features:
RSI Extremes: The strategy uses RSI levels of 90 (overbought) and 10 (oversold) to generate buy and sell signals. This helps identify extreme market conditions where price corrections are more likely.
Risk Management: Built-in Stop Loss and Take Profit levels with a Risk-Reward Ratio of 2:1. This allows traders to control their risk and reward while remaining calm and focused.
Patience and Discipline: Inspired by Stoicism, the strategy waits for extreme market conditions to enter trades, helping traders avoid impulsive actions and remain consistent with their strategy.
Automatic Entry and Exit: The strategy automatically enters positions when the RSI hits the predefined extreme levels (below 10 for buy and above 90 for sell) and sets appropriate stop loss and take profit levels.
Backtestable: This script is fully backtestable and can be applied to any 15-minute chart, particularly useful for volatile assets like Bitcoin.
How It Works:
Buy Signal: Triggered when RSI falls below 10 (oversold condition).
Sell Signal: Triggered when RSI rises above 90 (overbought condition).
Risk Management: The strategy automatically calculates the Sto
EMA BandThis Band dynamically change the color of the EMA band based on the trend direction, making it easier to visualize the market trend.
Works on all Timeframes.
Volume AlertThe "Volume Alert" indicator is a custom tool designed to monitor significant increases in trading volume. When the current trading volume surpasses a predefined threshold, the indicator triggers an alert, notifying traders of potential market activity. This feature is particularly useful for identifying unusual trading behaviors that may precede price movements.
Key Features:
Customizable Volume Threshold: Traders can set a specific volume level that, when exceeded, will trigger an alert.
Real-Time Alerts: Upon detecting a volume spike above the set threshold, the indicator promptly notifies the trader, allowing for timely decision-making.
Visual Representation: The indicator plots the trading volume on a separate chart pane, providing a clear visual representation of volume fluctuations over time.
Benefits:
Early Detection of Market Moves: By monitoring for significant volume increases, traders can gain early insights into potential market shifts, enabling them to act swiftly.
Enhanced Trading Strategies: Integrating volume alerts into trading strategies can help confirm the strength of price movements and validate potential breakout or reversal scenarios.
Automation Capabilities: When combined with TradingView's alert system and webhook integrations, this indicator can automate notifications or even trigger external actions, such as executing trades through a connected API.
Triple Moving Averages By Seif📌 Description for the Triple Moving Averages with Hollow Circles Indicator
Overview
The Triple Moving Averages with Hollow Circles Indicator is a technical analysis tool designed to visualize the trend direction and potential trade signals by using three exponential moving averages (EMAs). It also identifies key crossover points between the 20-period and 50-period EMAs, marking them with hollow circles to highlight potential buy (bullish) or sell (bearish) signals.
Scalping Tool with Dynamic Take Profit & Stop Loss### **Scalping Indicator: Summary and User Guide**
The **Scalping Indicator** is a powerful tool designed for traders who focus on short-term price movements. It combines **Exponential Moving Averages (EMA)** for trend identification and **Average True Range (ATR)** for dynamic stop loss and take profit levels. The indicator is highly customizable, allowing traders to adapt it to their specific trading style and risk tolerance.
---
### **Key Features**
1. **Trend Identification**:
- Uses two EMAs (Fast and Slow) to identify trend direction.
- Generates **Buy Signals** when the Fast EMA crosses above the Slow EMA.
- Generates **Sell Signals** when the Fast EMA crosses below the Slow EMA.
2. **Dynamic Take Profit (TP) and Stop Loss (SL)**:
- **Take Profit (TP)**:
- TP levels are calculated as a percentage above (for long trades) or below (for short trades) the entry price.
- TP levels are **dynamically recalculated** when the price reaches the initial target, allowing for multiple TP levels during a single trade.
- **Stop Loss (SL)**:
- SL levels are calculated using the ATR multiplier, providing a volatility-based buffer to protect against adverse price movements.
3. **Separate Settings for Long and Short Trades**:
- Users can independently enable/disable and configure TP and SL for **Buy** and **Sell** orders.
- This flexibility ensures that the indicator can be tailored to different market conditions and trading strategies.
4. **Visual Signals and Levels**:
- **Buy/Sell Signals**: Clearly marked on the chart with labels ("BUY" or "SELL").
- **TP and SL Levels**: Plotted on the chart for both long and short trades, making it easy to visualize risk and reward.
---
### **How to Use the Scalping Indicator**
#### **1. Setting Up the Indicator**
- Apply the indicator to your chart in TradingView.
- Configure the input parameters based on your trading preferences:
- **Fast Length**: The period for the Fast EMA (default: 5).
- **Slow Length**: The period for the Slow EMA (default: 13).
- **ATR Length**: The period for the ATR calculation (default: 14).
- **Buy/Sell TP and SL**: Enable/disable and set the percentage or ATR multiplier for TP and SL levels.
#### **2. Interpreting the Signals**
- **Buy Signal**:
- When the Fast EMA crosses above the Slow EMA, a "BUY" label appears below the price bar.
- The TP and SL levels for the long trade are plotted on the chart.
- **Sell Signal**:
- When the Fast EMA crosses below the Slow EMA, a "SELL" label appears above the price bar.
- The TP and SL levels for the short trade are plotted on the chart.
#### **3. Managing Trades**
- **Take Profit (TP)**:
- When the price reaches the initial TP level, the indicator automatically recalculates the next TP level based on the new close price.
- This allows traders to capture additional profits as the trend continues.
- **Stop Loss (SL)**:
- The SL level is based on the ATR multiplier, providing a dynamic buffer against market volatility.
- If the price hits the SL level, the trade is considered closed, and the indicator resets.
#### **4. Customization**
- Adjust the **Fast Length** and **Slow Length** to suit your trading timeframe (e.g., shorter lengths for scalping, longer lengths for swing trading).
- Modify the **ATR Multiplier** and **TP Percentage** to align with your risk-reward ratio.
- Enable/disable TP and SL for long and short trades based on your trading strategy.
---
### **Tips for Getting the Best Results**
1. **Combine with Price Action**:
- Use the Scalping Indicator in conjunction with support/resistance levels, candlestick patterns, or other technical analysis tools to confirm signals.
2. **Optimize for Your Timeframe**:
- For **scalping**, use shorter EMA lengths (e.g., Fast: 5, Slow: 13).
- For **swing trading**, use longer EMA lengths (e.g., Fast: 10, Slow: 20).
3. **Adjust Risk Management**:
- Use a smaller **ATR Multiplier** for tighter stop losses in low-volatility markets.
- Increase the **TP Percentage** to allow for larger price movements in high-volatility markets.
4. **Backtest and Practice**:
- Test the indicator on historical data to understand its performance in different market conditions.
- Use a demo account to practice trading with the indicator before applying it to live trading.
---
### **Conclusion**
The **Scalping Indicator** is a versatile and user-friendly tool for traders who want to capitalize on short-term price movements. By combining trend-following EMAs with dynamic TP and SL levels, it provides a clear and systematic approach to trading. Whether you're a scalper or a swing trader, this indicator can help you identify high-probability setups and manage risk effectively. Customize it to fit your strategy, and always remember to combine it with sound risk management principles for the best results.
London Breakout by Edwin KPurpose:
The strategy visualizes breakouts based on price action during the London session. It highlights the candles from 09:59 AM to 01:59 PM UTC+3 with different colors depending on whether the price is above or below the high/low from the 10 AM candle.
Key Parts:
Timestamps:
The code defines specific times for the 09:59 AM candle, 10:00 AM candle, and 01:59 PM UTC+3 times.
The timestamp('UTC+3', ...) function creates the timestamps for those moments.
High and Low of the 10 AM Candle:
The high and low of the 10 AM candle are captured and stored in the ten_am_high and ten_am_low variables.
Bullish and Bearish Conditions:
If the price breaks above (bullish_break) or below (bearish_break) the high or low of the 10 AM candle, respectively.
Bar Coloring:
If the conditions are met (price breaking above or below the 10 AM levels), the script colors the candles during the time frame (09:59 AM to 01:59 PM).
Green color is applied for bullish breakouts.
Red color is applied for bearish breakouts.
Dynamic Trend Line Pro📌 Detailed Explanation of the TradingView Indicator Code**
This **Pine Script v6** indicator dynamically **draws trend lines** based on pivot highs and pivot lows, helping traders visualize market trends in real-time.
---
## **🔹 How the Indicator Works**
This script detects key **pivot points** (local highs and lows) in the price chart and connects them to draw **trend lines**. Here's a breakdown of the process:
1. **Detects Pivot Highs and Lows**:
- **Pivot High:** A local maximum where the price is higher than surrounding bars.
- **Pivot Low:** A local minimum where the price is lower than surrounding bars.
2. **Stores the Last Pivot Points**:
- The script remembers the **last pivot high** and **last pivot low** points to **draw dynamic trend lines**.
3. **Draws Trend Lines**:
- The **uptrend** (support) line is drawn from two **pivot lows**.
- The **downtrend** (resistance) line is drawn from two **pivot highs**.
- Trend lines are continuously updated and extended.
---
## **🔹 Code Breakdown**
### **1️⃣ Inputs for User Customization**
```pinescript
leftLen = input.int(2, 'Left Pivots')
rightLen = input.int(2, 'Right Pivots')
lineThickness = input.int(3, 'Trend Line Thickness')
lineTransparency = input.int(20, 'Line Transparency')
```
- **leftLen & rightLen:** Set the number of bars on the left and right of the pivot point to confirm its validity.
- **lineThickness:** Controls the **thickness** of the trend line.
- **lineTransparency:** Adjusts the **opacity** of the trend line (0 = fully opaque, 100 = fully transparent).
---
### **2️⃣ Detect Pivot Highs and Lows**
```pinescript
pivotHigh = ta.pivothigh(leftLen, rightLen)
pivotLow = ta.pivotlow(leftLen, rightLen)
```
- **ta.pivothigh(leftLen, rightLen):** Identifies a **pivot high**, where the price is higher than the surrounding bars.
- **ta.pivotlow(leftLen, rightLen):** Identifies a **pivot low**, where the price is lower than the surrounding bars.
---
### **3️⃣ Store the Last Pivot Points**
#### **Storing the Last Pivot High (Resistance)**
```pinescript
var float lastHP = na
var int lastHPIndex = na
```
- These variables store the most recent **pivot high** (`lastHP`) and its **bar index** (`lastHPIndex`).
#### **Storing the Last Pivot Low (Support)**
```pinescript
var float lastLP = na
var int lastLPIndex = na
```
- These variables store the most recent **pivot low** (`lastLP`) and its **bar index** (`lastLPIndex`).
---
### **4️⃣ Update Pivot Points When New Ones Are Found**
#### **Updating Pivot Highs (Resistance)**
```pinescript
if not na(pivotHigh)
lastHP := pivotHigh
lastHPIndex := bar_index - rightLen
```
- If a new **pivot high** is found:
- Update `lastHP` with the new pivot high.
- Update `lastHPIndex` with the current bar index.
#### **Updating Pivot Lows (Support)**
```pinescript
if not na(pivotLow)
lastLP := pivotLow
lastLPIndex := bar_index - rightLen
```
- Similarly, if a new **pivot low** is found:
- Update `lastLP` with the new pivot low.
- Update `lastLPIndex` with the current bar index.
---
### **5️⃣ Detect Trend Direction**
```pinescript
trendUp = lastLP > lastLP and not na(lastLP )
trendDown = lastHP < lastHP and not na(lastHP )
```
- **Uptrend Condition:** If the most recent pivot low (`lastLP`) is higher than the previous one, it indicates an uptrend.
- **Downtrend Condition:** If the most recent pivot high (`lastHP`) is lower than the previous one, it indicates a downtrend.
---
### **6️⃣ Drawing Trend Lines**
#### **Drawing the Uptrend (Support) Line**
```pinescript
if trendUp
if na(trendLine)
trendLine := line.new(lastLPIndex , lastLP , lastLPIndex, lastLP, color=color.new(color.green, lineTransparency), width=lineThickness, extend=extend.right)
else
line.set_xy1(trendLine, lastLPIndex , lastLP )
line.set_xy2(trendLine, lastLPIndex, lastLP)
line.set_color(trendLine, color.new(color.green, lineTransparency))
line.set_width(trendLine, lineThickness)
```
- **Uptrend Line:** If the uptrend is detected (`trendUp`), the script either creates a new **green trend line** connecting the last two pivot lows or updates the existing one with the latest points.
#### **Drawing the Downtrend (Resistance) Line**
```pinescript
if trendDown
if na(trendLine)
trendLine := line.new(lastHPIndex , lastHP , lastHPIndex, lastHP, color=color.new(color.red, lineTransparency), width=lineThickness, extend=extend.right)
else
line.set_xy1(trendLine, lastHPIndex , lastHP )
line.set_xy2(trendLine, lastHPIndex, lastHP)
line.set_color(trendLine, color.new(color.red, lineTransparency))
line.set_width(trendLine, lineThickness)
```
- **Downtrend Line:** If the downtrend is detected (`trendDown`), the script either creates a new **red trend line** connecting the last two pivot highs or updates the existing one with the latest points.
---
## **🔹 How to Use This Indicator**
1. **Apply the Script in TradingView**:
- Open **Pine Script Editor** → Paste the code → Click **"Add to Chart"**.
2. **Interpret the Trend Lines**:
- **Green Line (Support):** Indicates potential support levels. Price may **bounce** off this line.
- **Red Line (Resistance):** Indicates potential resistance levels. Price may **struggle** to break above this line.
3. **Trading Strategy**:
- **Breakout Strategy:**
- If the price **breaks resistance** (red line), it may signal a **bullish** move.
- If the price **breaks support** (green line), it may signal a **bearish** move.
- **Reversal Strategy:**
- Look for **bounces** off support or resistance for potential reversals.
---
## **🔹 Key Features of This Indicator**
✅ **Automatically detects pivot highs and lows.**
✅ **Real-time updates** as new pivot points form.
✅ **Customizable settings** for line thickness and transparency.
✅ Helps traders visualize key **support** and **resistance** levels.
This indicator is perfect for **trend traders**, **support/resistance traders**, and anyone interested in **breakout** or **reversal strategies**. 🚀
SatoshiSteps Swing StrategyCore Components:
The indicator combines three popular technical analysis tools:
Ichimoku Cloud: This helps identify the trend, support, and resistance levels.
RSI (Relative Strength Index): This momentum oscillator identifies overbought and oversold conditions.
MACD (Moving Average Convergence Divergence): This trend-following momentum indicator shows the relationship between two moving averages1 of prices.
Logic:
The strategy aims to identify potential swing trading opportunities by combining signals from these three components. It essentially looks for:
Trend Confirmation (Ichimoku):
Price should be above the Ichimoku cloud for buy signals.
Price should be below the Ichimoku cloud for sell signals.
The Tenkan-sen (conversion line) should cross above the Kijun-sen (base line) for buy signals.
The Tenkan-sen should cross below the Kijun-sen for sell signals.
Overbought/Oversold Conditions (RSI):
RSI should be below the overbought level for buy signals (avoiding buying when the market is potentially overextended).
RSI should be above the oversold level for sell signals (avoiding selling when the market is potentially oversold).
Momentum Confirmation (MACD):
The MACD line should be above the signal line for buy signals (indicating upward momentum).
The MACD line should be below the signal line for sell signals (indicating downward momentum).
Buy Signal:
A buy signal is generated when all the following conditions are met:
The Tenkan-sen crosses above the Kijun-sen.
The price is above both the Senkou Span A and Senkou Span B (the cloud).
The RSI is below the overbought level.
The MACD line is above the signal line.
Sell Signal:
A sell signal is generated when all the following conditions are met:
The Tenkan-sen crosses below the Kijun-sen.
The price is below both the Senkou Span A and Senkou Span B (the cloud).
The RSI is above the oversold level.
The MACD line is below the signal line.
Key Considerations:
Time Frame: The indicator has built-in adjustments for 1-hour and 4-hour timeframes, optimizing the parameters for each.
Customization: You can customize the overbought/oversold RSI levels and the styles of the buy/sell signals (triangle, label, arrow, circle) through the indicator's settings.
Accuracy: While the strategy combines multiple indicators to improve accuracy, remember that no trading indicator is perfect. Market conditions can change rapidly, and false signals can occur.
Risk Management: Always use proper risk management techniques, such as stop-loss orders, and never risk more than you can afford to lose.
Mixed Moving Averages Bias Indicator with easy to read boxThis indicator uses 3 pairs of Ma's to establish the direction of the price.
These are labelled as short term, mid term and long term.
the purpose is to gain an edge for trading with the trend.
It also allows you to colour code the back ground for trending markets to clearly see if price is bullish or bearish
Three-Strike StrategyPivot Null Check: Handles potential na errors for pivot points, ensuring stability.
Cloud Fill: Proper EMA cloud visualization with adjustable transparency.
Label Duplication Prevention: Tooltip label added only on the last bar without cluttering the chart.
Better Alerts: Enhanced messages to match trading signals.
Global Inflation Indicator🔹 Overview:
The Global Inflation Indicator is a macro-analysis tool designed to track and compare inflation trends across major economies. It pulls Consumer Price Index (CPI) data from multiple regions, helping traders and investors analyze how inflation impacts global markets, particularly gold, forex, and commodities.
📊 Key Features:
✅ Tracks inflation in six major economies:
🇺🇸 USA (CPIAUCSL) – Key driver for USD and gold prices
🇪🇺 Eurozone (CPHPTT01EZM659N) – Euro inflation impact
🇬🇧 United Kingdom (GBRCPIALLMINMEI) – GBP & economic trends
🇨🇳 China (CHNCPIALLMINMEI) – Emerging market impact
🇯🇵 Japan (JPNCPIALLMINMEI) – Yen & inflation control policies
🇮🇳 India (INDCPIALLMINMEI) – Key gold-consuming economy
✅ Real-time Inflation Trends:
Provides a visual comparison of inflation levels in different regions.
Helps traders identify inflationary cycles & their effect on global assets.
✅ Macro-Driven Trading Decisions:
Gold & Forex Correlation: High inflation may increase demand for gold.
Interest Rate Expectations: Central banks respond to inflation shifts.
Currency Strength: Inflation impacts USD, EUR, GBP, JPY, CNY, INR.
📉 How to Use It:
Gold traders can assess inflation trends to predict potential price movements.
Forex traders can compare inflation effects on major currency pairs (EUR/USD, USD/JPY, GBP/USD, etc.).
Stock investors can evaluate how inflation affects central bank policies and interest rates.
📌 Conclusion:
The Global Inflation Indicator is a powerful tool for macroeconomic analysis, providing real-time insights into global inflation trends. By integrating this indicator into your gold, forex, and commodity trading strategies, you can make more informed investment decisions in response to economic changes.
AE - ATR Exhaustion ChannelAE - ATR Exhaustion Channel
📈 Overview
Identify Exhaustion Zones & Trend Breakouts with ATR Precision!
The AE - ATR Exhaustion Channel is a powerful volatility-based trading tool that combines an averaged SMA with ATR bands to dynamically highlight potential trend exhaustion zones. It provides real-time breakout detection by marking when price moves beyond key volatility bands, helping traders spot overextensions and reversals with ease.
🔑 Key Features
✔️ ATR-SMA Hybrid Channel: Uses an averaged SMA as the core trend filter while incorporating adaptive ATR-based bands for precise volatility tracking.
✔️ Dynamic Exhaustion Markers: Marks red crosses when price exceeds the upper band and green crosses when price drops below the lower band.
✔️ Customizable ATR Sensitivity: Adjust the ATR multiplier and length settings to fine-tune band sensitivity based on market conditions.
✔️ Clear Channel Visualization: A gray SMA midpoint and a blue-filled ATR band zone make it easy to track market structure.
📚 How It Works
1️⃣ Averaged SMA Calculation: The script calculates an averaged SMA over a user-defined range (min/max period). This smooths out short-term fluctuations while preserving trend direction.
2️⃣ ATR Band Construction: The ATR value (adjusted by a multiplier) is added to/subtracted from the SMA to form dynamic upper and lower volatility bands.
3️⃣ Exhaustion Detection:
If high > upper ATR band, a red cross is plotted (potential overextension).
If low < lower ATR band, a green cross is plotted (potential reversal zone).
4️⃣ Filled ATR Channel: The area between the upper and lower bands is shaded blue, providing a visual trading range.
🎨 Customization & Settings
⚙️ ATR Length – Adjusts the ATR calculation period (default: 14).
⚙️ ATR Multiplier – Scales the ATR bands for tighter or wider volatility tracking (default: 0.8, adjustable in 0.1 steps).
⚙️ SMA Range (Min/Max Length) – Defines the period range for calculating the averaged SMA (default: 5-20).
⚙️ Rolling Lookback Length – Controls how far back the high/low comparison is calculated (default: 50 bars).
🚀 Practical Usage
📌 Spotting Exhaustion Zones – Look for red/green markers appearing outside the ATR bands, signaling potential trend exhaustion and possible reversal opportunities.
📌 Breakout Confirmation – Price consistently breaching the upper band with momentum could indicate continuation, while repeated touches without strong closes may hint at reversal zones.
📌 Trend Reversal Signals – Watch for green markers below the lower band in uptrends (buy signals) and red markers above the upper band in downtrends (sell signals).
🔔 Alerts & Notifications
📢 Set Alerts for Exhaustion Signals!
Traders can configure alerts to trigger when price breaches the ATR bands, allowing for instant notifications when volatility-based exhaustion is detected.
📊 Example Scenarios
✔ Trend Exhaustion in Overextended Moves – A series of red crosses near resistance may indicate a short opportunity.
✔ Trend Exhaustion in Overextended Moves – A series of red crosses near resistance may indicate an opportunity to open a short trade.
✔ Volatility Compression Breakouts – If price consolidates within the ATR bands and suddenly breaks out, it could signify a momentum shift.
✔ Reversal Catching in Trending Markets – Spot potential trend reversals by looking for green markers below the ATR bands in bullish markets.
🌟 Why Choose AE - ATR Exhaustion Channel?
Trade with Confidence. Spot Volatility. Catch Breakouts.
The AE - ATR Exhaustion Channel is an essential tool for traders looking to identify trend exhaustion, detect breakouts, and manage volatility effectively. Whether you're trading stocks, crypto, or forex, this ATR-SMA hybrid system provides clear visual cues to help you stay ahead of market moves.
✅ Customizable to Fit Any Market
✅ Combines Volatility & Trend Analysis
✅ Easy-to-Use with Instant Breakout Detection
[COG] Adaptive Squeeze Intensity 📊 Adaptive Squeeze Intensity (ASI) Indicator
🎯 Overview
The Adaptive Squeeze Intensity (ASI) indicator is an advanced technical analysis tool that combines the power of volatility compression analysis with momentum, volume, and trend confirmation to identify high-probability trading opportunities. It quantifies the degree of price compression using a sophisticated scoring system and provides clear entry signals for both long and short positions.
⭐ Key Features
- 📈 Comprehensive squeeze intensity scoring system (0-100)
- 📏 Multiple Keltner Channel compression zones
- 📊 Volume analysis integration
- 🎯 EMA-based trend confirmation
- 🎨 Proximity-based entry validation
- 📱 Visual status monitoring
- 🎨 Customizable color schemes
- ⚡ Clear entry signals with directional indicators
🔧 Components
1. 📐 Squeeze Intensity Score (0-100)
The indicator calculates a total squeeze intensity score based on four components:
- 📊 Band Convergence (0-40 points): Measures the relationship between Bollinger Bands and Keltner Channels
- 📍 Price Position (0-20 points): Evaluates price location relative to the base channels
- 📈 Volume Intensity (0-20 points): Analyzes volume patterns and thresholds
- ⚡ Momentum (0-20 points): Assesses price momentum and direction
2. 🎨 Compression Zones
Visual representation of squeeze intensity levels:
- 🔴 Extreme Squeeze (80-100): Red zone
- 🟠 Strong Squeeze (60-80): Orange zone
- 🟡 Moderate Squeeze (40-60): Yellow zone
- 🟢 Light Squeeze (20-40): Green zone
- ⚪ No Squeeze (0-20): Base zone
3. 🎯 Entry Signals
The indicator generates entry signals based on:
- ✨ Squeeze release confirmation
- ➡️ Momentum direction
- 📊 Candlestick pattern confirmation
- 📈 Optional EMA trend alignment
- 🎯 Customizable EMA proximity validation
⚙️ Settings
🔧 Main Settings
- Base Length: Determines the calculation period for main indicators
- BB Multiplier: Sets the Bollinger Bands deviation multiplier
- Keltner Channel Multipliers: Three separate multipliers for different compression zones
📈 Trend Confirmation
- Four customizable EMA periods (default: 21, 34, 55, 89)
- Optional trend requirement for entry signals
- Adjustable EMA proximity threshold
📊 Volume Analysis
- Customizable volume MA length
- Adjustable volume threshold for signal confirmation
- Option to enable/disable volume analysis
🎨 Visualization
- Customizable bullish/bearish colors
- Optional intensity zones display
- Status monitor with real-time score and state information
- Clear entry arrows and background highlights
💻 Technical Code Breakdown
1. Core Calculations
// Base calculations for EMAs
ema_1 = ta.ema(close, ema_length_1)
ema_2 = ta.ema(close, ema_length_2)
ema_3 = ta.ema(close, ema_length_3)
ema_4 = ta.ema(close, ema_length_4)
// Proximity calculation for entry validation
ema_prox_raw = math.abs(close - ema_1) / ema_1 * 100
is_close_to_ema_long = close > ema_1 and ema_prox_raw <= prox_percent
```
### 2. Squeeze Detection System
```pine
// Bollinger Bands setup
BB_basis = ta.sma(close, length)
BB_dev = ta.stdev(close, length)
BB_upper = BB_basis + BB_mult * BB_dev
BB_lower = BB_basis - BB_mult * BB_dev
// Keltner Channels setup
KC_basis = ta.sma(close, length)
KC_range = ta.sma(ta.tr, length)
KC_upper_high = KC_basis + KC_range * KC_mult_high
KC_lower_high = KC_basis - KC_range * KC_mult_high
```
### 3. Scoring System Implementation
```pine
// Band Convergence Score
band_ratio = BB_width / KC_width
convergence_score = math.max(0, 40 * (1 - band_ratio))
// Price Position Score
price_range = math.abs(close - KC_basis) / (KC_upper_low - KC_lower_low)
position_score = 20 * (1 - price_range)
// Final Score Calculation
squeeze_score = convergence_score + position_score + vol_score + mom_score
```
### 4. Signal Generation
```pine
// Entry Signal Logic
long_signal = squeeze_release and
is_momentum_positive and
(not use_ema_trend or (bullish_trend and is_close_to_ema_long)) and
is_bullish_candle
short_signal = squeeze_release and
is_momentum_negative and
(not use_ema_trend or (bearish_trend and is_close_to_ema_short)) and
is_bearish_candle
```
📈 Trading Signals
🚀 Long Entry Conditions
- Squeeze release detected
- Positive momentum
- Bullish candlestick
- Price above relevant EMAs (if enabled)
- Within EMA proximity threshold (if enabled)
- Sufficient volume confirmation (if enabled)
🔻 Short Entry Conditions
- Squeeze release detected
- Negative momentum
- Bearish candlestick
- Price below relevant EMAs (if enabled)
- Within EMA proximity threshold (if enabled)
- Sufficient volume confirmation (if enabled)
⚠️ Alert Conditions
- 🔔 Extreme squeeze level reached (score crosses above 80)
- 🚀 Long squeeze release signal
- 🔻 Short squeeze release signal
💡 Tips for Usage
1. 📱 Use the status monitor to track real-time squeeze intensity and state
2. 🎨 Pay attention to the color gradient for trend direction and strength
3. ⏰ Consider using multiple timeframes for confirmation
4. ⚙️ Adjust EMA and proximity settings based on your trading style
5. 📊 Use volume analysis for additional confirmation in liquid markets
📝 Notes
- 🔧 The indicator combines multiple technical analysis concepts for robust signal generation
- 📈 Suitable for all tradable markets and timeframes
- ⭐ Best results typically achieved in trending markets with clear volatility cycles
- 🎯 Consider using in conjunction with other technical analysis tools for confirmation
⚠️ Disclaimer
This technical indicator is designed to assist in analysis but should not be considered as financial advice. Always perform your own analysis and risk management when trading.
DSA Multi-Indicator Strategy with TargetsThe provided script integrates multiple technical indicators—Exponential Moving Averages (EMA), Lorentzian Average, Average Directional Index (ADX), Moving Average Convergence Divergence (MACD), and SuperTrend—to generate buy and sell signals. Here's a breakdown of the criteria used for these signals:
Buy Signal Criteria:
A buy signal is triggered when any of the following conditions are met:
EMA Fast Crosses Above Lorentzian Line: The 7-period EMA crosses above the 21-period Lorentzian average.
EMA Fast Crosses Above EMA Slow: The 7-period EMA crosses above the 19-period EMA, and both are above the Lorentzian line.
EMA Fast Slope Exceeds Threshold: The slope of the 7-period EMA is greater than 0.4%.
Price Closes Above Lorentzian Line: The current closing price is above the Lorentzian line.
SuperTrend Turns Bullish: The SuperTrend indicator shifts to a bullish trend.
Sell Signal Criteria:
A sell signal is generated when the following condition is met:
Two Consecutive Closes Below Lorentzian Line: The price closes below the Lorentzian line for two consecutive periods.
