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
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.
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.
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.
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.
Trend Lines by Pivots (Enhanced)### **📌 Detailed Explanation of the TradingView Indicator Code**
This **Pine Script v5** indicator automatically **detects trend lines** based on pivot highs and pivot lows. It helps traders visualize **support and resistance levels** using dynamic trend lines.
---
## **🔹 How the Indicator Works**
The indicator identifies **key pivot points** in price action and then **draws trend lines** connecting them. It works as follows:
1. **Detects Pivot Highs and Lows**:
- A **pivot high** is a local maximum where the price is higher than surrounding bars.
- A **pivot low** is a local minimum where the price is lower than surrounding bars.
2. **Stores the Last Two Pivot Points**:
- The script remembers the last **two pivot highs** and **two pivot lows**.
- These points are used to **draw resistance and support lines** dynamically.
3. **Plots Resistance and Support Lines**:
- The script continuously **updates** and **extends** the trend lines to the right as new pivots are found.
- **Red Line (Resistance):** Connects the last two pivot highs.
- **Green Line (Support):** Connects the last two pivot lows.
---
## **🔹 Code Breakdown**
### **1️⃣ Inputs for User Customization**
```pinescript
leftLen = input.int(2, "Left Pivot Length")
rightLen = input.int(2, "Right Pivot Length")
highLineColor = input.color(color.red, "Resistance Line Color")
lowLineColor = input.color(color.green, "Support Line Color")
```
- **leftLen & rightLen:** Define how many bars on the left and right should be used to confirm a pivot.
- **highLineColor:** Sets the color of the resistance trend line (default: **red**).
- **lowLineColor:** Sets the color of the support trend line (default: **green**).
---
### **2️⃣ Detect Pivot Highs & Lows**
```pinescript
pivotHigh = ta.pivothigh(leftLen, rightLen)
pivotLow = ta.pivotlow(leftLen, rightLen)
```
- `ta.pivothigh(leftLen, rightLen)`: Detects a **pivot high** if it's the highest price in a certain range.
- `ta.pivotlow(leftLen, rightLen)`: Detects a **pivot low** if it's the lowest price in a certain range.
---
### **3️⃣ Store the Last Two Pivot Points**
#### **🔺 Storing Resistance (Pivot Highs)**
```pinescript
var float lastPivotHigh1 = na
var int lastPivotHighIndex1 = na
var float lastPivotHigh2 = na
var int lastPivotHighIndex2 = na
```
- These variables store **the last two pivot highs** and their **bar indices** (position on the chart).
#### **🔻 Storing Support (Pivot Lows)**
```pinescript
var float lastPivotLow1 = na
var int lastPivotLowIndex1 = na
var float lastPivotLow2 = na
var int lastPivotLowIndex2 = na
```
- These variables store **the last two pivot lows** and their **bar indices**.
---
### **4️⃣ Update Pivot Points When New Ones Are Found**
#### **Updating Resistance (Pivot Highs)**
```pinescript
if not na(pivotHigh)
lastPivotHigh2 := lastPivotHigh1
lastPivotHighIndex2 := lastPivotHighIndex1
lastPivotHigh1 := pivotHigh
lastPivotHighIndex1 := bar_index - rightLen
```
- If a new **pivot high** is found:
- The **previous pivot** becomes `lastPivotHigh2`.
- The **new pivot** becomes `lastPivotHigh1`.
- The index (`bar_index - rightLen`) marks where the pivot occurred.
#### **Updating Support (Pivot Lows)**
```pinescript
if not na(pivotLow)
lastPivotLow2 := lastPivotLow1
lastPivotLowIndex2 := lastPivotLowIndex1
lastPivotLow1 := pivotLow
lastPivotLowIndex1 := bar_index - rightLen
```
- Similar to pivot highs, this section updates **pivot lows** dynamically.
---
### **5️⃣ Create and Update Trend Lines**
#### **🔺 Drawing the Resistance Line**
```pinescript
var line highLine = na
if not na(lastPivotHigh2) and not na(lastPivotHigh1)
if na(highLine)
highLine := line.new(lastPivotHighIndex2, lastPivotHigh2, lastPivotHighIndex1, lastPivotHigh1, color=highLineColor, extend=extend.right)
else
line.set_xy1(highLine, lastPivotHighIndex2, lastPivotHigh2)
line.set_xy2(highLine, lastPivotHighIndex1, lastPivotHigh1)
line.set_color(highLine, highLineColor)
```
- If **two pivot highs** exist:
- **First time:** Creates a new **resistance line** connecting them.
- **Updates dynamically:** Adjusts the line when a new pivot appears.
#### **🔻 Drawing the Support Line**
```pinescript
var line lowLine = na
if not na(lastPivotLow2) and not na(lastPivotLow1)
if na(lowLine)
lowLine := line.new(lastPivotLowIndex2, lastPivotLow2, lastPivotLowIndex1, lastPivotLow1, color=lowLineColor, extend=extend.right)
else
line.set_xy1(lowLine, lastPivotLowIndex2, lastPivotLow2)
line.set_xy2(lowLine, lastPivotLowIndex1, lastPivotLow1)
line.set_color(lowLine, lowLineColor)
```
- Same logic applies for **support levels**, creating or updating a **green trend line**.
---
## **🔹 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 Lines**:
- **Red line (Resistance):** Price may struggle to break above it.
- **Green line (Support):** Price may bounce off it.
3. **Trading Strategy**:
- **Breakout Strategy:**
- If the price **breaks resistance**, expect a bullish move.
- If the price **breaks support**, expect a bearish move.
- **Reversal Trading:**
- Look for **bounces off support/resistance** for potential reversals.
---
## **🔹 Key Features of This Indicator**
✅ **Automatically detects pivot highs and lows.**
✅ **Draws real-time trend lines for support and resistance.**
✅ **Updates dynamically with new price action.**
✅ **Customizable settings for pivot sensitivity and colors.**
This indicator is useful for **trend traders, breakout traders, and support/resistance traders**. 🚀
Let me know if you need **further improvements or additional features!** 😊
Opening ScoreOverview:
The Composite Open Strategy Indicator is designed to provide traders with a unified, early-session directional bias by aggregating multiple non-correlated signals. By combining diverse analytical methods—spanning price action, volume, volatility, and time—the indicator helps you gauge whether the market is leaning bullish or bearish during the critical opening hours.
How It Works:
• Open Range Breakout (ORB) Signal:
The indicator captures the opening range (defined up to a user-specified time, e.g., 9:45 AM ET) and assigns a bullish signal when the price breaks above the high of that range, and a bearish signal when it drops below the low.
• VWAP Signal:
It compares the current price to the Volume Weighted Average Price (VWAP). A price above VWAP suggests buying pressure, while below indicates selling pressure.
• Trend Signal:
Using a simple moving average (with an adjustable period, typically around 20 bars), the indicator determines the prevailing trend. Price above the MA contributes a bullish bias, and price below contributes a bearish bias.
• Volatility Signal:
A volatility filter is applied via the Average True Range (ATR). An increasing ATR relative to the previous bar suggests rising volatility (bullish if combined with upward moves), whereas a decreasing ATR indicates the opposite.
Each of these four signals is assigned an equal weight (modifiable as needed), and their sum forms the composite score.
Display and Timing:
• Separate Panel:
The composite score is plotted as a histogram in its own indicator panel, ensuring your main price chart remains uncluttered.
• Session Filter:
The indicator is active only during the early session—from 9:30 AM to 12:30 PM Eastern Time—when the initial directional move is most relevant. Outside this time window, the indicator remains inactive.
Trading Insights:
• A positive composite score suggests a bullish bias, indicating that the aggregated signals lean toward an upward trend.
• A negative composite score points to a bearish bias, indicating a downward directional outlook.
Usage:
Ideal for traders looking to capture the market’s early trend direction, this indicator can be used as part of a broader strategy. Its design encourages consistency by combining multiple perspectives (price, volume, volatility, time) into one clear signal, allowing you to focus on setups that align with the dominant early-session move.
Before fully automating your trading approach, you can test and refine this composite method on TradingView using the built-in manual review process. Once confident in its performance, further automation can help integrate this directional bias seamlessly into your overall trading strategy.
Waldo's RSI Color Trend Candles
TradingView Description for Waldo's RSI Color Trend Candles
Title: Waldo's RSI Color Trend Candles
Short Title: Waldo RSI CTC
Overview:
Waldo's RSI Color Trend Candles is a visually intuitive indicator designed to enhance your trading experience by color-coding candlesticks based on the integration of Relative Strength Index (RSI) momentum and moving average trend analysis. This innovative tool overlays directly on your price chart, providing a clear, color-based representation of market sentiment and trend direction.
What is it?
This indicator combines the power of RSI with the simplicity of moving averages to offer traders a unique way to visualize market conditions:
RSI Integration: The RSI is computed with customizable parameters, allowing traders to adjust how momentum is interpreted. The RSI values influence the primary color of the candles, indicating overbought or oversold market states.
Moving Averages: Utilizing two Simple Moving Averages (SMAs) with user-defined lengths, the indicator helps in identifying trend directions through their crossovers. The fast MA and slow MA can be toggled on/off for visual clarity.
Color Trend Candles: The 'Color Trend Candles' feature uses a dynamic color scheme to reflect different market conditions:
Purple for overbought conditions when RSI exceeds the set threshold (default 70).
Blue for oversold conditions when RSI falls below the set threshold (default 44).
Green indicates a bullish trend, confirmed by both price action and RSI being bullish (fast MA crossing above slow MA, with price above the slow MA).
Red signals a bearish trend, when both price and RSI are bearish (fast MA crossing below slow MA, with price below the slow MA).
Gray for neutral or mixed market sentiment, where signals are less clear or contradictory.
How to Use It:
Waldo's RSI Color Trend Candles is tailored for traders who appreciate visual cues in their trading strategy:
Trend and Momentum Insight: The color of each candle gives an immediate visual representation of both the trend (via MA crossovers) and momentum (via RSI). Green and red candles align with bullish or bearish trends, respectively, providing a quick reference for market direction.
Identifying Extreme Conditions: Purple and blue candles highlight potential reversal zones or areas where the market might be overstretched, offering opportunities for contrarian trades or to anticipate market corrections.
Customization: Users can adjust the RSI length, overbought/oversold levels, and the lengths of the moving averages to align with their trading style or the specific characteristics of the asset they're trading.
This customization ensures the indicator can be tailored to various market conditions.
Simplified Decision Making: Designed for traders who prefer a visual approach, this indicator simplifies the decision-making process by encoding complex market data into an easy-to-understand color system.
However, for a robust trading strategy, it's recommended to use it alongside other analytical tools.
Control Over Display: The option to show or hide moving averages and to enable or disable the color-coding of candles provides users with control over how information is presented, allowing for a cleaner chart or more detailed analysis as preferred.
Conclusion:
Waldo's RSI Color Trend Candles offers a fresh, visually appealing method to interpret market trends and momentum through the color of candlesticks. It's ideal for traders looking for a straightforward way to gauge market sentiment at a glance. While this indicator can significantly enhance your trading setup, remember to incorporate it within a broader strategy, using additional confirmation from other indicators or analysis methods to manage risk and validate trading decisions. Dive into the colorful world of trading with Waldo's RSI Color Trend Candles and let the market's mood guide your trades with clarity and ease.
Dynamic RSI Bollinger Bands with Waldo Cloud
TradingView Indicator Description: Dynamic RSI Bollinger Bands with Waldo Cloud
Title: Dynamic RSI Bollinger Bands with Waldo Cloud
Short Title: Dynamic RSI BB Waldo
Overview:
Introducing an experimental indicator, the Dynamic RSI Bollinger Bands with Waldo Cloud, designed for adventurous traders looking to explore new dimensions in technical analysis. This indicator overlays on your chart, providing a unique perspective by integrating the Relative Strength Index (RSI) with Bollinger Bands, creating a dynamic trading tool that adapts to market conditions through the lens of momentum and volatility.
What is it?
This innovative indicator combines the traditional Bollinger Bands with the RSI in a way that hasn't been commonly explored. Here's a breakdown:
RSI Integration: The RSI is calculated with customizable length settings, and its values are used not just for momentum analysis but as the basis for the Bollinger Bands. This means the position and width of the bands are directly influenced by the RSI, offering a visual representation of momentum within the context of price volatility.
Dynamic Bollinger Bands: Instead of using price directly, the Bollinger Bands are calculated using a scaled version of the RSI. This scaling is done to fit the RSI values into the price range, ensuring the bands are relevant to the actual price movement. The standard deviation for these bands is also scaled accordingly, providing a unique volatility measure that's momentum-driven.
Waldo Cloud: Named after a visual representation concept, the 'Waldo Cloud' refers to the colored area between the Bollinger Bands, which changes based on various conditions:
Purple when RSI is overbought.
Blue when RSI is oversold.
Green for bullish conditions, defined by the fast-moving average crossing above the slow one, RSI is bullish, and the price is above the slow MA.
Red for bearish conditions, when the fast MA crosses below the slow MA, the RSI is bearish, and the price is below the slow MA.
Gray for neutral market conditions.
Moving Averages: Two simple moving averages (Fast MA and Slow MA) are included, which can be toggled on or off, offering additional trend analysis through crossovers.
How to Use It:
Given its experimental nature, this indicator should be used with caution and in conjunction with other analysis methods:
Identifying Market Conditions: Use the color of the Waldo Cloud to gauge market sentiment. A green cloud might suggest a good time to consider long positions, while a red cloud could indicate potential shorting opportunities. Purple and blue clouds highlight extreme conditions that might precede reversals.
Volatility and Momentum: The dynamic nature of the Bollinger Bands based on RSI provides insight into how momentum is affecting price volatility. When the bands are wide, it might indicate high momentum and potential trend continuation or reversal, depending on the RSI's position relative to its overbought/oversold levels.
Trend Confirmation: The moving average crossovers can act as confirmation signals. For instance, a bullish crossover (fast MA over slow MA) within a green cloud might strengthen a buy signal, whereas a bearish crossover in a red cloud might reinforce a sell decision.
Customization: Adjust the RSI length, overbought/oversold levels, and moving average lengths to suit different trading styles or market conditions. Experiment with these settings to find what works best for your strategy.
Combining with Other Indicators: Since this is an experimental tool, it's advisable to use it alongside established indicators like traditional Bollinger Bands, MACD, or trend lines to validate signals.
Conclusion:
The Dynamic RSI Bollinger Bands with Waldo Cloud is an experimental venture into combining momentum with volatility visually and interactively. It's designed for traders who are open to exploring new methods of market analysis.
Remember, due to its experimental status, this indicator should be part of a broader trading strategy, and backtesting or paper trading is recommended before applying it in live trading scenarios. Keep an eye on how the market reacts to the signals provided by this indicator and always consider risk management practices.
Daily Bias IndicatorBasic ICT Daily Bias Indicator
When yesterday's price breaks above and closes above the high of the day before yesterday, it indicates a bullish bias.
When yesterday's price tests the low of the day before yesterday but does not break below it, it indicates a bullish bias.
When yesterday's price breaks below and closes below the low of the day before yesterday, it indicates a bearish bias.
When yesterday's price tests the high of the day before yesterday but does not break above it, it indicates a bearish bias.
Waldo Cloud Bollinger Bands
Waldo Cloud Bollinger Bands Indicator Description for TradingView
Title: Waldo Cloud Bollinger Bands
Short Title: Waldo Cloud BB
Overview:
The Waldo Cloud Bollinger Bands indicator is a sophisticated tool designed for traders looking to combine the volatility analysis of Bollinger Bands with the momentum insights of the Relative Strength Index (RSI) and moving average crossovers. This indicator overlays on your chart, providing a visual representation that helps in identifying potential trading opportunities based on price action, momentum, and trend direction.
Concept:
This indicator merges three key technical analysis concepts:
Bollinger Bands: These are used to measure market volatility. The bands consist of a central moving average (basis) with an upper and lower band that are standard deviations away from this average. In this indicator, you can customize the type of moving average used for the basis (SMA, EMA, SMMA, WMA, VWMA), the length of the period, the source price, and the standard deviation multiplier, offering flexibility to adapt to different market conditions.
Relative Strength Index (RSI): The RSI is incorporated to provide insight into the momentum of price movements. Users can adjust the RSI length and overbought/oversold levels and even choose the price source for RSI calculation, allowing for tailored momentum analysis. The RSI values influence the cloud color between the Bollinger Bands, signaling market conditions.
Moving Average Crossovers: Two moving averages with customizable lengths and types are used to identify trend direction through crossovers. A fast MA (default 20 periods) and a slow MA (default 50 periods) are plotted when enabled, helping to signal potential bullish or bearish market conditions when they cross over each other.
Functionality:
Bollinger Bands Calculation: The basis of the Bollinger Bands is calculated using a user-defined moving average type, with a customizable length, source, and standard deviation multiplier. The upper and lower bands are then plotted around this basis.
RSI Calculation: The RSI is computed using a user-specified source, length, and overbought/oversold levels. This RSI value is used to determine the color of the cloud between the Bollinger Bands, which visually represents market sentiment:
Purple when RSI is overbought.
Blue when RSI is oversold.
Green for bullish conditions (when the fast MA crosses above the slow MA, RSI is bullish, and the price is above the slow MA).
Red for bearish conditions (when the fast MA crosses below the slow MA, RSI is bearish, and the price is below the slow MA).
Gray for neutral conditions.
Trend Analysis: The indicator uses two moving averages to help determine the trend direction.
When the fast MA crosses over the slow MA, it suggests a potential change in trend direction, which, combined with RSI conditions, provides a more comprehensive trading signal.
Customization:
Users can select the type of moving average for all calculations through the "Global MA Type" setting, ensuring consistency in how trends and volatility are interpreted.
The Bollinger Bands settings allow for adjustments in length, source, standard deviation, and offset, giving traders control over how volatility is measured.
RSI settings include the ability to change the RSI source, length, and overbought/oversold thresholds, which can be fine-tuned to match trading strategies.
The option to show or hide moving averages provides clarity on the chart, focusing on either the Bollinger Bands or including the MA crossovers for trend analysis.
Usage:
This indicator is ideal for traders who incorporate both volatility and momentum in their trading decisions.
By observing the color changes in the cloud, along with the position of the price relative to the moving averages, traders can gauge potential entry and exit points.
For instance, a green cloud with a price above the slow MA might suggest a strong buying opportunity, while a red cloud with a price below might indicate selling pressure.
Conclusion:
The Waldo Cloud Bollinger Bands indicator offers a unique blend of volatility, momentum, and trend analysis, providing traders with a multi-faceted view of market conditions. Its customization options make it adaptable to various trading styles and market environments, making it a valuable addition to any trader's toolkit on Trading View.
Averaged Stochastic RSI by TenozenSimplicity beats everything! Averaged Stochastic RSi is calculated using the 2 points of stochastic of the RSI, where the difference is by 2 (larger), and averaged out the stochastic's values. In result it is less noisy and more responsive towards the market's momentum.
I hope you guys find this indicator useful! So far this is the best indicator I ever had! And I also learned that simplicity is better than complex blurry/abstract problems. Ciao!
Bracket IndicatorThis is an indicator that shows tick target above and below the chart. Allows for visualizing continual bracket target moving with price before getting into trade.
So, for example, if you are watching price and wanting to target 10 points above or below. You can set this bracket indicator on the chart and you will be able to in real time see 10 points above/below the current price.
The 950 Bar StrategyNQ 9:50 AM Candle Strategy v3 (Trade at 9:55AM) - 1 Contract
Also called the 950 Standard. The 950 Strategy.
This strategy places its trade at 9:55am each day based on the close of the 9:50am candle. Uses 5min timeframe candles. If candle closes red, or bearish, the strategy goes short. If candle closes green, or bullish, the strategy goes long. Brackets are 150tick TP and 200tick SL.
AMD Session Structure Levels# Market Structure & Manipulation Probability Indicator
## Overview
This advanced indicator is designed for traders who want a systematic approach to analyzing market structure, identifying manipulation, and assessing probability-based trade setups. It incorporates four core components:
### 1. Session Price Action Analysis
- Tracks **OHLC (Open, High, Low, Close)** within defined sessions.
- Implements a **dual tracking system**:
- **Official session levels** (fixed from the session open to close).
- **Real-time max/min tracking** to differentiate between temporary spikes and real price acceptance.
### 2. Market Manipulation Detection
- Identifies **manipulative price action** using the relationship between the open and close:
- If **price closes below open** → assumes **upward manipulation**, followed by **downward distribution**.
- If **price closes above open** → assumes **downward manipulation**, followed by **upward distribution**.
- Normalized using **ATR**, ensuring adaptability across different volatility conditions.
### 3. Probability Engine
- Tracks **historical wick ratios** to assess trend vs. reversal conditions.
- Calculates **conditional probabilities** for price moves.
- Uses a **special threshold system (0.45 and 0.03)** for reversal signals.
- Provides **real-time probability updates** to enhance trade decision-making.
### 4. Market Condition Classification
- Classifies market conditions using a **wick-to-body ratio**:
```pine
wick_to_body_ratio = open > close ? upper_wick / (high - low) : lower_wick / (high - low)
```
- **Low ratio (<0.25)** → Likely a **trend day**.
- **High ratio (>0.25)** → Likely a **range day**.
---
## Why This Indicator Stands Out
### ✅ Smarter Level Detection
- Uses **ATR-based dynamic levels** instead of static support/resistance.
- Differentiates **manipulation from distribution** for better decision-making.
- Updates probabilities **in real-time**.
### ✅ Memory-Efficient Design
- Implements **circular buffers** to maintain efficiency:
```pine
var float manipUp = array.new_float(lookbackPeriod, 0.0)
var float manipDown = array.new_float(lookbackPeriod, 0.0)
```
- Ensures **constant memory usage**, even over extended trading sessions.
### ✅ Advanced Probability Calculation
- Utilizes **conditional probabilities** instead of simple averages.
- Incorporates **market context** through wick analysis.
- Provides **actionable signals** via a probability table.
---
## Trading Strategy Guide
### **Best Entry Setups**
✅ Wait for **price to approach manipulation levels**.
✅ Confirm using the **probability table**.
✅ Check the **wick ratio for context**.
✅ Enter when **conditional probability aligns**.
### **Smart Exit Management**
✅ Use **distribution levels** as **profit targets**.
✅ Scale out **when probabilities shift**.
✅ Monitor **wick percentiles** for confirmation.
### **Risk Management**
✅ Size positions based on **probability readings**.
✅ Place stops at **manipulation levels**.
✅ Adjust position size based on **trend vs. range classification**.
---
## Configuration Tips
### **Session Settings**
```pine
sessionTime = input.session("0830-1500", "Session Hours")
weekDays = input.string("23456", "Active Days")
```
- Match these to your **primary trading session**.
- Adjust for different **market opens** if needed.
### **Analysis Parameters**
```pine
lookbackPeriod = input.int(50, "Lookback Period")
low_threshold = input.float(0.25, "Trend/Range Threshold")
```
- **50 periods** is a good starting point but can be optimized per instrument.
- The **0.25 threshold** is ideal for most markets but may need adjustments.
---
## Market Structure Breakdown
### **Trend/Continuation Days**
- **Characteristics:**
✅ Small **opposing wicks** (minimal counter-pressure).
✅ Clean, **directional price movement**.
- **Bullish Trend Day Example:**
✅ Small **lower wicks** (minimal downward pressure).
✅ Strong **closes near the highs** → **Buyers in control**.
- **Bearish Trend Day Example:**
✅ Small **upper wicks** (minimal upward pressure).
✅ Strong **closes near the lows** → **Sellers in control**.
### **Reversal Days**
- **Characteristics:**
✅ **Large opposing wicks** → Failed momentum in the initial direction.
- **Bullish Reversal Example:**
✅ **Large upper wick early**.
✅ **Strong close from the lows** → **Sellers failed to maintain control**.
- **Bearish Reversal Example:**
✅ **Large lower wick early**.
✅ **Weak close from the highs** → **Buyers failed to maintain control**.
---
## Summary
This indicator systematically quantifies market structure by measuring **manipulation, distribution, and probability-driven trade setups**. Unlike traditional indicators, it adapts dynamically using **ATR, historical probabilities, and real-time tracking** to offer a structured, data-driven approach to trading.
🚀 **Use this tool to enhance your decision-making and gain an objective edge in the market!**
ROC with closed based coloring & info table [DB]Rate of Change (ROC) Basics
The Rate of Change (ROC) is a momentum oscillator measuring the percentage price change between the current close and the close from N periods ago.
Calculated as: ROC = * 100
Traders use ROC to:
Identify overbought/oversold conditions
Spot momentum shifts
Confirm trend strength
My improvements:
Visual Clarity
Color-Coded Direction: ROC line changes color (green/red/yellow) based on intra-candle momentum shifts.
Direction Table: Instant view of the last change in ROC with the candle close (▲ UP / ▼ DOWN / ▶ FLAT).
Cells for current value and previous change between timeframe bar period.
What you can benefit with this over the regular ROC:
Faster Analysis: The visual cues make direction and strength instantly obvious and it allows for faster decision making while preserving more mental capital.
Quarterly Performance█ OVERVIEW
The Quarterly Performance indicator is designed to visualise and compare the performance of different Quarters of the year. This indicator explores one of the many calendar based anomalies that exist in financial markets.
In the context of financial analysis, a calendar based anomaly refers to patterns or tendencies that are linked to specific time periods, such as days of the week, weeks of the month, or months of the year. This indicator helps explore whether such a calendar based anomaly exists between quarters.
By calculating cumulative quarterly performance and counting the number of quarters with positive returns, it provides a clear snapshot of whether one set of quarters tends to outperform the others, potentially highlighting a calendar based anomaly if a significant difference is observed.
█ FEATURES
Customisable time window through input settings.
Tracks cumulative returns for each quarter separately.
Easily adjust table settings like position and font size via input options.
Clear visual distinction between quarterly performance using different colours.
Built-in error checks to ensure the indicator is applied to the correct timeframe.
█ HOW TO USE
Add the indicator to a chart with a 3 Month (Quarterly) timeframe.
Choose your start and end dates in the Time Settings.
Enable or disable the performance table in the Table Settings as needed.
View the cumulative performance, with Q1 in blue, Q2 in red, Q3 in green and Q4 in purple.
USDT.D + USDT.C ALL TIMEFRAMESThis indicator combines the dominance of USDT (USDT.D) and USDC (USDC.D) to track total stablecoin market share across all timeframes. It displays the combined dominance as candlesticks, providing a clearer view of market liquidity shifts and investor sentiment.
📌 How to Use:
Green candles indicate rising stablecoin dominance (potential risk-off sentiment).
Red candles indicate declining stablecoin dominance (potential risk-on sentiment).
Works on all timeframes, from intraday scalping to macro trend analysis.
This tool is essential for traders looking to analyze stablecoin liquidity flow, identify market turning points, and refine trading strategies based on stablecoin dominance behavior. 🚀
Machine Learning: kNN Trend PredictorThe kNN Trend Predictor is a machine learning-based indicator that uses the k-Nearest Neighbors (kNN) algorithm for price prediction in trading. By analyzing historical price movements and computing Euclidean distances, the script identifies the closest past price patterns and forecasts potential trends. It provides color-coded trend signals, optional trade entry labels, and alerts for long and short signals.
Share SizeA helpful tool that estimates the amount of times you can trade at your current share size in a small account.
You can adjust the numbers in the settings page!
