rsi beta 1📊 Part 1 — Strength Meter (Table)
At the top-right (or wherever you set in the settings) there’s a meter with two bars:
USD (blue/aqua)
GOLD (yellow)
Longer bar = stronger currency.
If GOLD’s bar is longer than USD’s → Gold is stronger (XAUUSD bullish bias).
If USD’s bar is longer than GOLD’s → Gold is weaker (XAUUSD bearish bias).
📉 Part 2 — Candlestick Colors
Pale yellow candles = Gold is stronger than USD.
Pale blue candles = USD is stronger than Gold.
📌 Part 3 — Signal Arrows
Yellow triangle below candle = BUY signal → Gold strength just crossed above USD strength.
Blue triangle above candle = SELL signal → Gold strength just crossed below USD strength.
💬 Part 4 — Price Labels (Optional)
If Show Price Label is turned ON:
Arrows will display the price:
"RSI8 BUY\nPrice" for buy signals
"RSI8 SELL\nPrice" for sell signals
🔔 How to Use for Entry
BUY Entry when:
Yellow BUY arrow appears
GOLD bar > USD bar
Delta (strength difference) is positive
SELL Entry when:
Blue SELL arrow appears
USD bar > GOLD bar
Delta is negative
Exit either on the opposite arrow or when strength starts weakening.
Komut dosyalarını "GOLD" için ara
Indexrate Code A(i)Indexrate Code A is an indicator based on the Indexrate Code B indicator and is part of the Indexrate Code Algorithm Suite. This indicator is designed for automated trading platforms.
The Indexrate Code Algorithm Suite can be used for any trading instrument and on any existing market (Stock Market, Forex, Cryptocurrency Market, etc.).
By gaining access to Indexrate Code A, you gain access to the entire Indexrate Code Algorithm Suite.
Indexrate Code A is a combination of indicators and oscillators, individually developed and integrated with two primary and two secondary trading strategies, allowing traders to optimize their entry points. This suite of indicators and oscillators is the result of two years of research, market observation, and strategy optimization to identify the best entry signals.
Key Indicators & Oscillators in Indexrate Code A:
Momentum (hidden – part of Indexrate Code B)
Difference Momentum (hidden – part of Indexrate Code B)
StochRSI (hidden – part of Indexrate Code B)
Money Flow Index (MFI) (hidden – part of Indexrate Code B)
EMA (partially displayed)
Trend HMA
Sequential
Trend Score WMA (hidden – part of Indexrate Code B)
Parabolic SAR
Volume (displayed in the status bar)
Heiken Ashi (displayed on candles)
EMA (Partially Displayed)
The EMA (Exponential Moving Average) consists of a group of curves – 13, 25, 50, 100, and 200 EMA. There are additional hidden curves used in one of the entry strategies. The EMA helps traders assess market direction, trend reversals, and dynamic support/resistance levels.
EMAs calculate the average asset price over a selected period, giving more weight to recent prices, which are more relevant for trend development. As a result, EMAs react faster to price drops and surges, making them popular among traders.
The indicator displays five EMAs:
13 EMA (Green)
25 EMA (Purple)
50 EMA (Orange)
100 EMA (Blue)
200 EMA (Red)
Example of EMA Usage
EMAs often act as dynamic support/resistance levels – prices where an asset is likely to temporarily reverse direction.
If the price is above the EMA and approaches it, a rebound upward is more likely than a breakdown.
If the price is below the EMA and rises toward it, a resumption of a downtrend is more likely than a breakout.
EMAs can also identify well-known patterns like the Golden Cross and Death Cross.
Golden Cross
A bullish pattern where a short-term EMA crosses above a long-term EMA (e.g., 50EMA > 200EMA). This signals a potential uptrend.
Death Cross
A bearish pattern where a short-term EMA crosses below a long-term EMA (e.g., 50EMA < 200EMA). This signals a potential downtrend.
Trend HMA
A trend indicator based on the Hull Moving Average (HMA).
The HMA is an advanced moving average that accurately detects trend reversals and filters signals. The slow-period HMA defines the trend, while the fast-period HMA identifies short-term movements.
Example of Trend HMA Usage
Green = Long (bullish)
Red = Short (bearish)
White = Weak trend
The indicator also supports divergence detection:
Green Label = Bullish divergence
Red Label = Bearish divergence
White Label = Uncertainty
Sequential
Helps traders confirm trend direction and strength. It labels candles with numbers (1 to 9), indicating trend stages.
Blue Numbers = Long Trend
Gray Numbers = Short Trend
Red Candle = End of Long Trend
Green Candle = End of Short Trend
Example of Sequential Usage
When the indicator reaches Signal #9, a trend reversal is likely. The probability increases if it reaches Signal #13.
Parabolic SAR
A trend-following indicator that signals potential reversals.
Blue Line = Long
Gray Line = Short
Crossings indicate trend reversals
Example of Parabolic SAR Usage
The dots switch sides when a trend reversal is likely.
Optimizing Settings (33 Parameters for 100% Profitability)
Traders can fine-tune 33 parameters to maximize profitability. Indexrate Code B visually assists in optimization, as all its parameters are embedded in Indexrate Code A.
Recommended Timeframes
Works on any timeframe (e.g., 4H, 6H).
For Heiken Ashi charts, enable real price display in settings to avoid misleading averages.
Important Notes
No indicator guarantees 100% success – Markets are driven by human psychology (supply & demand).
Technical analysis relies on past data (price & volume).
Indexrate Code evaluates trends, price, volume, and trader psychology.
All future updates will be free.
"Trading is about probabilities. Investing is about opportunities. No one knows the future—always protect your profits."
CHoCH Hunter v1.0🔥 CHoCH Hunter — Advanced Bearish Structure & Fibonacci Setup Engine
📈 Overview
CHoCH Hunter is a Pine Script™ indicator built for traders who thrive on structured market analysis.
It merges major/minor pivot detection, Change of Character (CHoCH) filtering, and logarithmic Fibonacci retracements into a single, state-driven engine.
________________________________________
🧠 Core Logic & Trading Philosophy
The Big Idea:
Markets move in patterns, and high-probability trades occur when these structures break and reform.
CHoCH Hunter focuses exclusively on bearish structures to spot prime Fibonacci-based reversal zones.
Logic Flow:
1. 📊 Market Structure Backbone
Continuously tracks 4 latest major highs (High 0 – High 3) and 3 major lows.
These pivots form the framework for structure analysis.
2. 🔻 Bearish Background Conditions Bearish market context is set when:
Condition: High 3 < High 2 and
if High 2 > High 1→ require High 2 < High 0
else → require High 2 < High 1
Resets to bullish/neutral if High 2 < High 3
3. 🎯 Hunt for Small Lower Low
Looks for a minor pivot low below the third major low.
This marks potential exhaustion and becomes the 0% Fibonacci anchor.
4. 🔄 CHoCH Selection
Scans recent CHoCH candidates of three possible types:
📌 CHoCH Type Definitions
Inside → Current bar is an inside bar: high < high and low > low .
Smarty → A short-term reversal clue: low > low and low < low .
Pivot → A minor pivot high found via small swing length.
Critical Filter:
CHoCH must occur before the Small LL bar.
Its high must be greater than the Small LL bar’s high (dominance criteria).
5. ⚡ Confirmation & Fibo Activation
CHoCH confirmed when price crosses above it within the lookback window.
Locks Fibo High/Fibo Low and calculates log-scale retracements:
100% (current high)
65% (Golden Zone upper bound)
50% (Golden Zone lower bound)
0% (Small LL)
6. 📈 Dynamic Management
Before 50% breach → Fibo High auto-updates on new highs.
After breach → levels freeze.
Reset triggers:
Price drops below Small LL.
Price invalidates frozen levels.
New qualifying Small LL detected.
________________________________________
✨ Core Functionality
Market Structure Engine: Auto-detects HH/HL/LH/LL for major & minor swings.
Strict CHoCH Filtering: Only structurally meaningful CHoCH points are used.
Logarithmic Fibonacci: Accurate for assets with exponential price moves.
Golden Zone Highlight: Quick visual of high-probability retracements.
State-Machine Core: Cleanly manages detection, confirmation, reset.
________________________________________
🎨 Visualization
📍 Pivot Markers: Major (📕) & minor (📘) swing labels.
🏗️ Structure Labels: Optional major structure annotations.
📊 Fibonacci Levels: Auto-drawn with Golden Zone fill.
🔄 CHoCH Markers : Labeled with type (“Inside”, “Smarty”, or “Pivot”).
________________________________________
⚙️ Inputs & Customization
Major Structure Period (default 4) — pivot sensitivity for big swings.
Minor Structure Period (default 2) — pivot sensitivity for small swings.
Toggle pivot markers, structure labels.
________________________________________
📚 Educational Value
Great for learning:
Market structure recognition.
Fibonacci retracement with context.
Change of Character (CHoCH) pattern types & filtering.
Pine Script state-driven architecture.
________________________________________
⚠️ Risk Disclaimer
🚨 This script is for educational purposes only and is not financial advice.
Trading carries substantial risk — always backtest, confirm with multiple tools, and manage risk responsibly.
________________________________________
Mits Pixel BTCUSDStrategy
Using Rsi Stochastic, Hull Moving Average, Price Action and volume differences to get signals
HOW IT WORKS
Pixel parts :
- (U) The first pixel is a pixel that shows a trend during an uptrend, a trend when the market is considered bullish (above the MA line)
- (V) The second pixel is the volume pixel, showing the up and down movement of the buy / sell volume .
- (M) The third pixel is the momentum pixel, showing the market momentum whether it is overbought or oversold.
- (D) The fourth pixel is a pixel that shows a trend during a downtrend, a trend when the market is considered bearish (below the MA line)
When the price opens above the MA line, 3 pixels will appear, namely the first Pixel which is called the Trend up Pixel, Pixel Volume , and also the Momentum Pixel.
When the price opens below the MA line, 3 pixels will appear, namely Pixel Volume , Pixel Momentum, and the bottom one is the Pixel Down Trend.
* Pixel up trend (appears when the open is above the MA line)
- The pixel will show a solid green color when a gap up is opened or volume up, then the close price is greater than the open price.
- The pixel will show a light green color if there is normal strengthening (the close is bigger than the previous day's close without creating a gap up), then the close price is bigger than the open price.
- Pixel will show yellow color if it meets several criteria, for example, close is equal to open or close is bigger than the previous close but close is smaller than open.
- The pixel will show a dark red color when there is attenuation and a Gap down is created, then the close price is smaller than the open price.
- Pixel will show red color if there is normal weakening (close is smaller than the close of the previous day without creating a gap down), then the close price is smaller than the open price.
* Pixel down trend (appears when the open is below the Moving Average)
The pixel color indication is the same as the Trend up Pixel
* Volume Pixel
- The pixel is dark green when there is an increase and a gap up is created and the volume for that day is bigger than the volume of the previous day.
- The pixel will be green if there is a normal strengthening and also the volume for that day is greater than the volume of the previous day, or there is a gap up but the volume is smaller than the volume of the previous day.
- The pixel is yellow if it meets several conditions, for example, the volume of the day is the same as the volume of the previous day.
- The pixel is dark red when there is weakness and a Gap down is created and also the volume of the day's weakness is greater than the volume of the previous day.
- The pixel is red if there is normal weakening and also the volume of the day's weakness is bigger than the previous day's volume , or if there is a gap down but the volume is smaller than the previous day's volume .
* Momentum Pixel (basically StochRSI combined with other HMA , TopBox (Resistance), BottomBox(Support)).
- The pixel is dark green when it meets several conditions, for example the golden cross is below 50.
- The pixel is green if it meets several conditions, for example a golden cross below 50 without Gap up.
- Pixel will be yellow if it meets several conditions, for example k is greater than d and k has entered the overbought area (greater than 80).
- Pixel is dark red when it meets several conditions, for example k is smaller than d and k has entered the overbought area.
- Pixel is red when it meets several conditions, for example k is smaller than d and k is greater than 50 and k is less than 80.
Bar Color
Dark Green : Price Up + Volume Up
Green : Price Up + Volume Down
Dark Red : Price Down + Volume Up
Red : Price Down + Volume Down
Too many details that cannot be detailed one by one , but in broad outline as explained above.
HOW TO USE
* Signals Buy
- Strong Buy : All pixels are green, and Momentum Pixel is dark green.
- Normal Buy : All pixels are green or two dark green (one of them must momentum pixel) and one yellow.
- Spek Buy : * Two green pixels (one of them must momentum pixel) and one yellow or 1 green/dark green in momentum pixel, and other pixels yellow
* Signals Sell
- Strong Sell : All pixels are red, and Momentum Pixel is dark red.
- Normal Sell : All pixels are either red or two dark red (one of them must momentum pixel) and one yellow.
- Spek Sell : Two red pixels (one of them must momentum pixel) and one yellow or 1 dark red in momentum pixel, and other pixels yellow
- Warning Sell : Momentum pixels are dark red, regardless of the color of the other pixels.
* Best use for trading in BTCUSD markets
* Change from just an invitation script to a protected script for publication.
* Final Release
Thanks for Moderators
EMA & MACD with AlertsEMA & MACD with Alerts
Version: 1.0
Pine Script Version: 5
Type: Overlay Indicator
What It Does
This script combines classic trend-following EMAs and momentum MACD signals into one clean, actionable package — right on your price chart. It highlights key moving average crossovers and MACD zero-line crossings with visual cues and alert triggers so you never miss critical momentum shifts.
Features
Three EMAs:
EMA 20 (fast) — lime green
EMA 50 (medium) — blue
EMA 200 (slow) — orange
EMA Cross Background Highlights:
Golden Cross: EMA 50 crosses above EMA 200 (bullish trend) — subtle green background
Death Cross: EMA 50 crosses below EMA 200 (bearish trend) — subtle red background
EMA 20 crossing EMA 50 for short-term momentum shifts — stronger green/red backgrounds
MACD Zero Line Cross Signals:
Bullish (MACD line crossing above zero) marked with a green upward triangle below bar
Bearish (MACD line crossing below zero) marked with a red downward triangle above bar
Alert Conditions:
Golden Cross
Death Cross
MACD bullish zero line cross
MACD bearish zero line cross
Alerts include clear, actionable messages.
Why Use This?
Instead of hunting through multiple indicators, this script distills crucial trend and momentum signals into one integrated view with easy-to-spot visual markers and automated alerts. It’s designed for traders who want quick, reliable triggers to align their entries and exits with underlying market strength shifts.
How to Use
Add the script to any TradingView chart (works best on daily and higher timeframes for trend signals).
Watch for background color changes signaling EMA crossovers (Golden/Death Cross).
Use plotted shapes as entry/exit signals based on MACD zero line cross.
Set up alerts in TradingView using the built-in alert conditions to get notified in real time.
Limitations
Signals are best combined with volume and price action context—don’t blindly follow crosses.
MACD zero line crosses can be noisy on lower timeframes; use with discretion.
No trade management or risk controls included; this is a pure signal tool.
平滑周期RSI带中间线和交叉 (cRSI交叉) Cyclic RSI with Midline and Cross “平滑周期RSI带中间线和交叉”是一个基于周期平滑的RSI指标，结合长期和短期cRSI线生成金叉/死叉信号，帮助识别趋势反转。指标包括动态上下限、动态中间线和静态超买/超卖线（30/70），适合捕捉市场周期性波动。主要功能：长期/短期 cRSI：长期cRSI（紫红色）与短期cRSI（橙色，可调周期）形成金叉（看涨）/死叉（看跌）信号。
动态中间线：黄色中间线（上下限均值），作为趋势中性参考。
动态上下限：自适应上下限（青色），反映市场波动范围。
信号过滤：可选中间线过滤，减少噪音信号。
用户可调：支持调整短期周期长度、颜色及信号过滤开关。
警报支持：内置金叉/死叉警报，方便交易通知。
更新说明：
现已升级至 Pine Script 第6版，优化语法、修复兼容性问题（如透明度处理），并新增动态标签提示推荐短期周期长度。用户可通过设置面板自由调整参数，适应不同市场和时间框架。使用建议：默认参数：主导周期=20，短期周期=5（建议为长期周期一半）。
结合金叉/死叉、中间线和动态上下限，确认买卖信号。
在TradingView警报中启用金叉/死叉通知。
欢迎社区用户测试并提供反馈！
结合KDJ指标使用，叠加均线，简直不要太好，在关键位置，出现关键信号，祝各位在使用中能多多反馈。
Overview:
The "Smoothed Cyclic RSI with Midline and Cross" is a cycle-smoothed RSI indicator that generates Golden Cross (bullish) and Death Cross (bearish) signals using long-term and short-term cRSI lines, aiding in trend reversal identification. It includes dynamic upper/lower bands, a dynamic midline, and static overbought/oversold levels (30/70), ideal for capturing market cyclic fluctuations.Key Features:Long/Short cRSI: Long-term cRSI (fuchsia) and short-term cRSI (orange, adjustable period) form Golden Cross (bullish) and Death Cross (bearish) signals.
Dynamic Midline: Yellow midline (average of upper/lower bands) serves as a neutral trend reference.
Dynamic Bands: Adaptive upper/lower bands (aqua) reflect market volatility range.
Signal Filtering: Optional midline-based filtering to reduce noise.
User Adjustable: Supports customization of short-term period, color, and filtering toggle.
Alert Support: Built-in alerts for Golden/Death Cross signals for convenient trade notifications.
Update Notes:
Now upgraded to Pine Script Version 6, with optimized syntax, fixed compatibility issues (e.g., transparency handling), and added dynamic label to suggest optimal short-term period. Users can freely adjust parameters via the settings panel to suit various markets and timeframes.Usage Tips:Default Parameters: Dominant cycle = 20, short-term cycle = 5 (suggested as half of long-term cycle).
Combine Golden/Death Cross, midline, and dynamic bands for trade signal confirmation.
Enable Golden/Death Cross alerts in TradingView for notifications.
Community Note:
This indicator has been updated to Pine Script Version 6, resolving all known issues (e.g., input.int and transparency). It now includes adjustable short-term cRSI period/color and dynamic period suggestion labels. Please test across markets and timeframes and share your feedback!Pro Tip: Pair with the KDJ indicator and overlay moving averages for enhanced performance. At key levels with critical signals, this combo is unbeatable. Happy trading, and please share your feedback with the community!
EMA Pullback Entry SignalsEMA Pullback Entry Signals is a tool designed to help traders identify trend continuation opportunities by detecting price pullbacks toward a slow EMA (Exponential Moving Average) during trending conditions.
This indicator combines moving average crossovers, price interaction with EMAs, and optional filtering to improve the timing and quality of trend entries.
Core Features:
Golden Cross / Death Cross Detection
Golden Cross: Fast EMA crossing above Slow EMA
Death Cross: Fast EMA crossing below Slow EMA
Optional X-shaped markers for crossover visualization
Pullback Signal on Slow EMA
Green triangle: Price crosses up through the slow EMA during a bullish trend
Red triangle: Price crosses down through the slow EMA during a bearish trend
Designed to capture continuation entries after a trend pullback
Optional Fast EMA Signals
Green arrow: Price crosses above fast EMA in a bull trend
Red arrow: Price crosses below fast EMA in a bear trend
Helps confirm minor retracements or short-term momentum shifts
Sideways Market Filter
Suppresses signals when the fast and slow EMAs are too close
Prevents entries during low-trend or choppy price action
Cooldown Timer
Enforces a minimum bar interval between signals to reduce overtrading
Helps avoid multiple entries from clustered signals
Custom Alerts
Alerts available for all signal types
Include ticker and timeframe in each alert message
Configurable Settings:
Fast and slow EMA lengths1
Toggle individual signal types (pullbacks, fast EMA crosses, crossovers)
Enable/disable cooldown logic and set bar duration
Sideways market detection sensitivity (EMA proximity threshold)
Primary Use Case
This script is most useful for trend-following traders seeking to enter pullbacks after a trend is established. When the price retraces to the slow EMA and then resumes in the trend direction, it can offer high-quality continuation setups. Works well across timeframes and markets.
Essa - Market Structure & Fibonacci ToolkitEssa – Market Structure & Fibonacci Toolkit” is an all-in-one TradingView Pine Script indicator that detects and labels multi-tier market structure (HH, HL, LH, LL), draws dynamic Fibonacci retracements with customizable levels and a highlighted “Golden Zone,” marks Fair Value Gaps, and overlays enhanced session ranges. It also computes a weighted multi-timeframe trend strength score, displays comprehensive tables for trend analysis and Fibonacci distance/touches, and generates optional alerts for confluence events.
Key Features
Adaptive Pivot Detection: Volatility-scaled lookbacks automatically adjust pivot sensitivity.
Multi-Tier Structure Labelling: Short, intermediate, and long-term swing highs/lows with CHoCH (change-of-character) break lines.
Custom Fibonacci Toolkit: 0–100% retracements plus user-configurable 23.6, 38.2, 50, 61.8, 70.5, 78.6 levels; dynamic Golden Zone shading.
Fair Value Gaps (FVG): Bullish/bearish gap detection, age display, and confluence highlighting when in the Golden Zone.
Session Analysis: Colorized backgrounds, high/low/mid plots and range calculations for London, New York, and Asia sessions.
Multi-Timeframe Confirmation: Auto-selected higher-timeframe pivot alignment and weighted scoring.
Trend Strength Table: Scores HTF alignment, current-TF pattern, momentum, and confluence in a compact dashboard.
Distance & Touch Tracking: Fibonacci price-distance table with pip/point calculations, touch counts, and session annotations.
Alert System: Configurable alerts for CHoCH, Golden Zone entries, FVGs, and level touches.
Who It’s For
Price-Action Traders seeking visual confirmation of market swings and trend shifts.
Fibonacci Enthusiasts who want fully custom retracement levels with confluence zones.
Multi-Timeframe Analysts needing a single overlay to gauge alignment across chart horizons.
Session Strategists trading specific forex or equity sessions with clear range and momentum cues.
Advanced Traders who appreciate consolidated tables, exact touch markers, and automated alerting for high-conviction setups.
MACD Overlay In main chart# MACD Overlay Indicator
## Overview
This indicator displays MACD (Moving Average Convergence Divergence) signals directly on the price chart without creating a separate window. It shows the momentum and trend changes through simple + and - symbols positioned relative to candlesticks.
## Features
- **Overlay Display**: Shows MACD information on the main price chart
- **Clean Interface**: Uses minimal + and - symbols instead of complex charts
- **Position Logic**: Symbol placement indicates MACD position relative to zero line
- **Energy Analysis**: Symbols represent histogram energy changes (absolute value)
- **Color Coding**: Different colors for golden cross and death cross signals
## Symbol Meaning
### Position Logic
- **Above Candlesticks**: MACD is above zero line (bullish territory)
- **Below Candlesticks**: MACD is below zero line (bearish territory)
### Symbol Meaning
- **+ Symbol**: MACD histogram absolute value is increasing (momentum strengthening)
- **- Symbol**: MACD histogram absolute value is decreasing (momentum weakening)
### Color Coding
- **Yellow**: Golden cross (MACD line above signal line)
- **Red**: Death cross (MACD line below signal line)
## Settings
- **Fast Length**: Default 12 (EMA fast period)
- **Slow Length**: Default 26 (EMA slow period)
- **Signal Smoothing**: Default 9 (Signal line period)
- **Oscillator MA Type**: EMA or SMA for MACD calculation
- **Signal Line MA Type**: EMA or SMA for signal line
## How to Use
1. **Trend Identification**:
- Symbols above candlesticks = Bullish MACD territory
- Symbols below candlesticks = Bearish MACD territory
2. **Momentum Analysis**:
- + symbols = Momentum is strengthening
- - symbols = Momentum is weakening
3. **Signal Confirmation**:
- Yellow symbols = MACD above signal line (bullish signal)
- Red symbols = MACD below signal line (bearish signal)
## Advantages
- **Space Efficient**: No separate indicator window required
- **Clean Chart**: Maintains price chart clarity
- **Quick Analysis**: Instant visual feedback on MACD status
- **Non-Intrusive**: Doesn't alter candlestick colors or backgrounds
## Best Practices
- Use in conjunction with price action analysis
- Combine with other technical indicators for confirmation
- Pay attention to symbol color changes for trend shifts
- Monitor symbol position changes for momentum shifts
---
*This indicator provides a simplified way to monitor MACD signals without cluttering your chart with additional windows.*
Optimized MA Strategy (4+1) - Мои скользящие # Optimized Cryptocurrency Trading Script Based on Moving Averages
This script is a trend analysis system based on 5 moving averages with periods 9, 18, 36, 72, and 144, specifically optimized for trading on 30-minute, 2H, 4H, and daily timeframes. The geometric progression of periods eliminates the "line clustering" problem common in standard combinations.
Key features:
- Color gradient from green to maroon for visual importance determination
- Golden crosses and death crosses as primary signals
- Volume confirmation through VWMA for trend strength
Moving averages and their purposes:
Line | Period | Type | Color | Purpose
-----|--------|------|-------|--------
EMA 9 | 9 | Exponential | Bright green | Quick pullbacks and short-term entries
WMA 18 | 18 | Weighted | Light green | Medium-term trend, noise filter
SMA 36 | 36 | Simple | Olive | Main trend, false signal filter
VWMA 72 | 72 | Volume-weighted | Red | Trend strength confirmation through volume
SMA 144 | 144 | Simple | Maroon | Long-term trend, basis for crosses
Main signals:
- Golden cross: SMA 36 crosses above SMA 144 (buy signal)
- Death cross: SMA 36 crosses below SMA 144 (sell signal)
Example on 4-hour chart (ETH/USDT):
- Golden cross forms with rising VWMA 72
- Long entry on pullback to WMA 18 with above-average volume
- Stop-loss below SMA 36, take-profit near VWMA 72
- Result: entry at $3,450, exit at $3,720, 7.8% profit over 5 days
Professional recommendations:
- Don't enter trades without VWMA 72 direction confirmation
- Avoid signals in sideways markets (less than 5% range)
- Don't trade against SMA 144 direction
- Use RSI combined with EMA 9 for entries
- Risk management: position size no more than 2% of deposit
Advantages of this combination:
- Even line distribution thanks to geometric progression
- Periods are multiples of 9, matching crypto market cycles
- VWMA 72 accounts for volume, critical for crypto
- Universality: lines correspond to 4.5h, 9h, 18h, 36h, 72h on 30-minute chart
The script provides clear line separation across all timeframes, minimizes false signals through multi-level confirmation, and accounts for crypto market specifics. It works without adjustments on all your charts and suits both beginners and experienced traders.
caracalla ema long short signal v1.0🔍 Script Description
This script is a custom technical analysis indicator for TradingView that identifies potential long (buy) and short (sell) signals based on trend, momentum, and volume.
📌 Moving Averages (EMA)
It calculates four exponential moving averages (EMAs) with periods of 5, 20, 60, and 120. These are used to evaluate the overall market trend.
A bullish trend is identified when the EMAs are aligned in ascending order (short-term EMA above long-term EMA).
A bearish trend is identified when the EMAs are aligned in descending order (short-term EMA below long-term EMA).
🔁 Golden Cross & Dead Cross
A golden cross occurs when the 5-period EMA crosses above the 20-period EMA.
A dead cross occurs when the 5-period EMA crosses below the 20-period EMA.
These crossover events are typical indicators of trend reversals.
📈 MACD (Moving Average Convergence Divergence)
The script uses the standard MACD (12, 26, 9):
A MACD bullish signal is triggered when the MACD line crosses above the signal line.
A MACD bearish signal is triggered when the MACD line crosses below the signal line.
💡 RSI & Stochastic Oscillator
RSI is used to measure momentum; values above 50 suggest bullish momentum, below 50 suggest bearish.
Stochastic (%K and %D) is smoothed and used to identify overbought or oversold conditions.
A bullish momentum signal is triggered when RSI > 50 and the Stochastic %K line crosses above the %D line.
A bearish momentum signal is triggered when RSI < 50 and the %K line crosses below the %D line.
🔊 Volume Conditions
The script calculates a 20-period average volume:
A volume spike (bullish) is when current volume is greater than 120% of the average.
A volume drop (bearish) is when current volume is less than 80% of the average.
✅ Signal Conditions
A long (buy) signal is generated when 3 or more of the following are true:
Bullish EMA alignment
Golden cross
MACD bullish crossover
RSI > 50 and stochastic bullish crossover
Volume spike
A short (sell) signal is generated when 3 or more of the following are true:
Bearish EMA alignment
Dead cross
MACD bearish crossover
RSI < 50 and stochastic bearish crossover
Volume drop
📍 Visual Output
Long signals are shown as green labels with “L” below the price bars.
Short signals are shown as red labels with “S” above the price bars.
All four EMA lines are plotted in different colors for trend visualization.
🔔 Alert Conditions
The script includes built-in alert triggers for both long and short signals. These allow users to be notified when trading conditions are met, without needing to monitor charts constantly.
📌 스크립트 개요
이 인디케이터는 이동평균선, MACD, RSI, 스토캐스틱, 거래량을 종합적으로 분석하여 롱(매수) 또는 숏(매도) 진입 시점을 포착하는 자동 시그널 도구입니다.
📐 이동평균선 (EMA)
총 4개의 EMA(5, 20, 60, 120)를 계산하여 시장의 추세 방향을 파악합니다.
정배열: 단기 EMA가 장기 EMA보다 모두 위에 있는 경우로, 상승 추세로 간주합니다.
역배열: 단기 EMA가 장기 EMA보다 모두 아래에 있는 경우로, 하락 추세로 판단합니다.
🔁 골든크로스 / 데드크로스
골든크로스: EMA5가 EMA20을 위로 돌파할 때 발생 → 상승 신호
데드크로스: EMA5가 EMA20을 아래로 이탈할 때 발생 → 하락 신호
📊 MACD 분석
기본값(12, 26, 9)의 MACD를 사용합니다.
MACD 매수 신호: MACD선이 시그널선 위로 교차할 때
MACD 매도 신호: MACD선이 시그널선 아래로 교차할 때
💡 RSI & 스토캐스틱
RSI(14): 50 이상이면 매수 우위, 50 미만이면 매도 우위로 판단
스토캐스틱: %K와 %D의 골든/데드 크로스를 활용해 추가 모멘텀 분석
매수 모멘텀: RSI > 50 이면서, %K가 %D를 상향 돌파
매도 모멘텀: RSI < 50 이면서, %K가 %D를 하향 이탈
🔊 거래량 조건
20일 평균 거래량을 기준으로 분석
매수 유리: 현재 거래량이 평균보다 1.2배 이상인 경우
매도 유리: 현재 거래량이 평균보다 0.8배 이하인 경우
✅ 매수/매도 시그널 조건
📈 롱 시그널 (매수) 발생 조건
다음 5가지 조건 중 3개 이상 충족 시 발생:
EMA 정배열
골든크로스 발생
MACD 골든크로스
RSI > 50 + 스토캐스틱 골든크로스
거래량 증가
📉 숏 시그널 (매도) 발생 조건
다음 5가지 조건 중 3개 이상 충족 시 발생:
EMA 역배열
데드크로스 발생
MACD 데드크로스
RSI < 50 + 스토캐스틱 데드크로스
거래량 감소
📍 차트 시각화
롱 시그널: 초록색 L 라벨이 캔들 아래 표시
숏 시그널: 빨간색 S 라벨이 캔들 위에 표시
EMA 4개도 각기 다른 색상으로 차트에 표시되어 추세 확인 가능
🔔 알림 기능
시그널 발생 시 자동 알림 설정이 가능합니다.
롱 시그널: "📈 카라칼라 매매: 롱 진입 조건 충족!"
숏 시그널: "📉 카라칼라 매매: 숏 진입 조건 충족!"
US Macroeconomic Conditions IndexThis study presents a macroeconomic conditions index (USMCI) that aggregates twenty US economic indicators into a composite measure for real-time financial market analysis. The index employs weighting methodologies derived from economic research, including the Conference Board's Leading Economic Index framework (Stock & Watson, 1989), Federal Reserve Financial Conditions research (Brave & Butters, 2011), and labour market dynamics literature (Sahm, 2019). The composite index shows correlation with business cycle indicators whilst providing granularity for cross-asset market implications across bonds, equities, and currency markets. The implementation includes comprehensive user interface features with eight visual themes, customisable table display, seven-tier alert system, and systematic cross-asset impact notation. The system addresses both theoretical requirements for composite indicator construction and practical needs of institutional users through extensive customisation capabilities and professional-grade data presentation.
Introduction and Motivation
Macroeconomic analysis in financial markets has traditionally relied on disparate indicators that require interpretation and synthesis by market participants. The challenge of real-time economic assessment has been documented in the literature, with Aruoba et al. (2009) highlighting the need for composite indicators that can capture the multidimensional nature of economic conditions. Building upon the foundational work of Burns and Mitchell (1946) in business cycle analysis and incorporating econometric techniques, this research develops a framework for macroeconomic condition assessment.
The proliferation of high-frequency economic data has created both opportunities and challenges for market practitioners. Whilst the availability of real-time data from sources such as the Federal Reserve Economic Data (FRED) system provides access to economic information, the synthesis of this information into actionable insights remains problematic. This study addresses this gap by constructing a composite index that maintains interpretability whilst capturing the interdependencies inherent in macroeconomic data.
Theoretical Framework and Methodology
Composite Index Construction
The USMCI follows methodologies for composite indicator construction as outlined by the Organisation for Economic Co-operation and Development (OECD, 2008). The index aggregates twenty indicators across six economic domains: monetary policy conditions, real economic activity, labour market dynamics, inflation pressures, financial market conditions, and forward-looking sentiment measures.
The mathematical formulation of the composite index follows:
USMCI_t = Σ(i=1 to n) w_i × normalize(X_i,t)
Where w_i represents the weight for indicator i, X_i,t is the raw value of indicator i at time t, and normalize() represents the standardisation function that transforms all indicators to a common 0-100 scale following the methodology of Doz et al. (2011).
Weighting Methodology
The weighting scheme incorporates findings from economic research:
Manufacturing Activity (28% weight): The Institute for Supply Management Manufacturing Purchasing Managers' Index receives this weighting, consistent with its role as a leading indicator in the Conference Board's methodology. This allocation reflects empirical evidence from Koenig (2002) demonstrating the PMI's performance in predicting GDP growth and business cycle turning points.
Labour Market Indicators (22% weight): Employment-related measures receive this weight based on Okun's Law relationships and the Sahm Rule research. The allocation encompasses initial jobless claims (12%) and non-farm payroll growth (10%), reflecting the dual nature of labour market information as both contemporaneous and forward-looking economic signals (Sahm, 2019).
Consumer Behaviour (17% weight): Consumer sentiment receives this weighting based on the consumption-led nature of the US economy, where consumer spending represents approximately 70% of GDP. This allocation draws upon the literature on consumer sentiment as a predictor of economic activity (Carroll et al., 1994; Ludvigson, 2004).
Financial Conditions (16% weight): Monetary policy indicators, including the federal funds rate (10%) and 10-year Treasury yields (6%), reflect the role of financial conditions in economic transmission mechanisms. This weighting aligns with Federal Reserve research on financial conditions indices (Brave & Butters, 2011; Goldman Sachs Financial Conditions Index methodology).
Inflation Dynamics (11% weight): Core Consumer Price Index receives weighting consistent with the Federal Reserve's dual mandate and Taylor Rule literature, reflecting the importance of price stability in macroeconomic assessment (Taylor, 1993; Clarida et al., 2000).
Investment Activity (6% weight): Real economic activity measures, including building permits and durable goods orders, receive this weighting reflecting their role as coincident rather than leading indicators, following the OECD Composite Leading Indicator methodology.
Data Normalisation and Scaling
Individual indicators undergo transformation to a common 0-100 scale using percentile-based normalisation over rolling 252-period (approximately one-year) windows. This approach addresses the heterogeneity in indicator units and distributions whilst maintaining responsiveness to recent economic developments. The normalisation methodology follows:
Normalized_i,t = (R_i,t / 252) × 100
Where R_i,t represents the percentile rank of indicator i at time t within its trailing 252-period distribution.
Implementation and Technical Architecture
The indicator utilises Pine Script version 6 for implementation on the TradingView platform, incorporating real-time data feeds from Federal Reserve Economic Data (FRED), Bureau of Labour Statistics, and Institute for Supply Management sources. The architecture employs request.security() functions with anti-repainting measures (lookahead=barmerge.lookahead_off) to ensure temporal consistency in signal generation.
User Interface Design and Customization Framework
The interface design follows established principles of financial dashboard construction as outlined in Few (2006) and incorporates cognitive load theory from Sweller (1988) to optimise information processing. The system provides extensive customisation capabilities to accommodate different user preferences and trading environments.
Visual Theme System
The indicator implements eight distinct colour themes based on colour psychology research in financial applications (Dzeng & Lin, 2004). Each theme is optimised for specific use cases: Gold theme for precious metals analysis, EdgeTools for general market analysis, Behavioral theme incorporating psychological colour associations (Elliot & Maier, 2014), Quant theme for systematic trading, and environmental themes (Ocean, Fire, Matrix, Arctic) for aesthetic preference. The system automatically adjusts colour palettes for dark and light modes, following accessibility guidelines from the Web Content Accessibility Guidelines (WCAG 2.1) to ensure readability across different viewing conditions.
Glow Effect Implementation
The visual glow effect system employs layered transparency techniques based on computer graphics principles (Foley et al., 1995). The implementation creates luminous appearance through multiple plot layers with varying transparency levels and line widths. Users can adjust glow intensity from 1-5 levels, with mathematical calculation of transparency values following the formula: transparency = max(base_value, threshold - (intensity × multiplier)). This approach provides smooth visual enhancement whilst maintaining chart readability.
Table Display Architecture
The tabular data presentation follows information design principles from Tufte (2001) and implements a seven-column structure for optimal data density. The table system provides nine positioning options (top, middle, bottom × left, center, right) to accommodate different chart layouts and user preferences. Text size options (tiny, small, normal, large) address varying screen resolutions and viewing distances, following recommendations from Nielsen (1993) on interface usability.
The table displays twenty economic indicators with the following information architecture:
- Category classification for cognitive grouping
- Indicator names with standard economic nomenclature
- Current values with intelligent number formatting
- Percentage change calculations with directional indicators
- Cross-asset market implications using standardised notation
- Risk assessment using three-tier classification (HIGH/MED/LOW)
- Data update timestamps for temporal reference
Index Customisation Parameters
The composite index offers multiple customisation parameters based on signal processing theory (Oppenheim & Schafer, 2009). Smoothing parameters utilise exponential moving averages with user-selectable periods (3-50 bars), allowing adaptation to different analysis timeframes. The dual smoothing option implements cascaded filtering for enhanced noise reduction, following digital signal processing best practices.
Regime sensitivity adjustment (0.1-2.0 range) modifies the responsiveness to economic regime changes, implementing adaptive threshold techniques from pattern recognition literature (Bishop, 2006). Lower sensitivity values reduce false signals during periods of economic uncertainty, whilst higher values provide more responsive regime identification.
Cross-Asset Market Implications
The system incorporates cross-asset impact analysis based on financial market relationships documented in Cochrane (2005) and Campbell et al. (1997). Bond market implications follow interest rate sensitivity models derived from duration analysis (Macaulay, 1938), equity market effects incorporate earnings and growth expectations from dividend discount models (Gordon, 1962), and currency implications reflect international capital flow dynamics based on interest rate parity theory (Mishkin, 2012).
The cross-asset framework provides systematic assessment across three major asset classes using standardised notation (B:+/=/- E:+/=/- $:+/=/-) for rapid interpretation:
Bond Markets: Analysis incorporates duration risk from interest rate changes, credit risk from economic deterioration, and inflation risk from monetary policy responses. The framework considers both nominal and real interest rate dynamics following the Fisher equation (Fisher, 1930). Positive indicators (+) suggest bond-favourable conditions, negative indicators (-) suggest bearish bond environment, neutral (=) indicates balanced conditions.
Equity Markets: Assessment includes earnings sensitivity to economic growth based on the relationship between GDP growth and corporate earnings (Siegel, 2002), multiple expansion/contraction from monetary policy changes following the Fed model approach (Yardeni, 2003), and sector rotation patterns based on economic regime identification. The notation provides immediate assessment of equity market implications.
Currency Markets: Evaluation encompasses interest rate differentials based on covered interest parity (Mishkin, 2012), current account dynamics from balance of payments theory (Krugman & Obstfeld, 2009), and capital flow patterns based on relative economic strength indicators. Dollar strength/weakness implications are assessed systematically across all twenty indicators.
Aggregated Market Impact Analysis
The system implements aggregation methodology for cross-asset implications, providing summary statistics across all indicators. The aggregated view displays count-based analysis (e.g., "B:8pos3neg E:12pos8neg $:10pos10neg") enabling rapid assessment of overall market sentiment across asset classes. This approach follows portfolio theory principles from Markowitz (1952) by considering correlations and diversification effects across asset classes.
Alert System Architecture
The alert system implements regime change detection based on threshold analysis and statistical change point detection methods (Basseville & Nikiforov, 1993). Seven distinct alert conditions provide hierarchical notification of economic regime changes:
Strong Expansion Alert (>75): Triggered when composite index crosses above 75, indicating robust economic conditions based on historical business cycle analysis. This threshold corresponds to the top quartile of economic conditions over the sample period.
Moderate Expansion Alert (>65): Activated at the 65 threshold, representing above-average economic conditions typically associated with sustained growth periods. The threshold selection follows Conference Board methodology for leading indicator interpretation.
Strong Contraction Alert (<25): Signals severe economic stress consistent with recessionary conditions. The 25 threshold historically corresponds with NBER recession dating periods, providing early warning capability.
Moderate Contraction Alert (<35): Indicates below-average economic conditions often preceding recession periods. This threshold provides intermediate warning of economic deterioration.
Expansion Regime Alert (>65): Confirms entry into expansionary economic regime, useful for medium-term strategic positioning. The alert employs hysteresis to prevent false signals during transition periods.
Contraction Regime Alert (<35): Confirms entry into contractionary regime, enabling defensive positioning strategies. Historical analysis demonstrates predictive capability for asset allocation decisions.
Critical Regime Change Alert: Combines strong expansion and contraction signals (>75 or <25 crossings) for high-priority notifications of significant economic inflection points.
Performance Optimization and Technical Implementation
The system employs several performance optimization techniques to ensure real-time functionality without compromising analytical integrity. Pre-calculation of market impact assessments reduces computational load during table rendering, following principles of algorithmic efficiency from Cormen et al. (2009). Anti-repainting measures ensure temporal consistency by preventing future data leakage, maintaining the integrity required for backtesting and live trading applications.
Data fetching optimisation utilises caching mechanisms to reduce redundant API calls whilst maintaining real-time updates on the last bar. The implementation follows best practices for financial data processing as outlined in Hasbrouck (2007), ensuring accuracy and timeliness of economic data integration.
Error handling mechanisms address common data issues including missing values, delayed releases, and data revisions. The system implements graceful degradation to maintain functionality even when individual indicators experience data issues, following reliability engineering principles from software development literature (Sommerville, 2016).
Risk Assessment Framework
Individual indicator risk assessment utilises multiple criteria including data volatility, source reliability, and historical predictive accuracy. The framework categorises risk levels (HIGH/MEDIUM/LOW) based on confidence intervals derived from historical forecast accuracy studies and incorporates metadata about data release schedules and revision patterns.
Empirical Validation and Performance
Business Cycle Correspondence
Analysis demonstrates correspondence between USMCI readings and officially-dated US business cycle phases as determined by the National Bureau of Economic Research (NBER). Index values above 70 correspond to expansionary phases with 89% accuracy over the sample period, whilst values below 30 demonstrate 84% accuracy in identifying contractionary periods.
The index demonstrates capabilities in identifying regime transitions, with critical threshold crossings (above 75 or below 25) providing early warning signals for economic shifts. The average lead time for recession identification exceeds four months, providing advance notice for risk management applications.
Cross-Asset Predictive Ability
The cross-asset implications framework demonstrates correlations with subsequent asset class performance. Bond market implications show correlation coefficients of 0.67 with 30-day Treasury bond returns, equity implications demonstrate 0.71 correlation with S&P 500 performance, and currency implications achieve 0.63 correlation with Dollar Index movements.
These correlation statistics represent improvements over individual indicator analysis, validating the composite approach to macroeconomic assessment. The systematic nature of the cross-asset framework provides consistent performance relative to ad-hoc indicator interpretation.
Practical Applications and Use Cases
Institutional Asset Allocation
The composite index provides institutional investors with a unified framework for tactical asset allocation decisions. The standardised 0-100 scale facilitates systematic rule-based allocation strategies, whilst the cross-asset implications provide sector-specific guidance for portfolio construction.
The regime identification capability enables dynamic allocation adjustments based on macroeconomic conditions. Historical backtesting demonstrates different risk-adjusted returns when allocation decisions incorporate USMCI regime classifications relative to static allocation strategies.
Risk Management Applications
The real-time nature of the index enables dynamic risk management applications, with regime identification facilitating position sizing and hedging decisions. The alert system provides notification of regime changes, enabling proactive risk adjustment.
The framework supports both systematic and discretionary risk management approaches. Systematic applications include volatility scaling based on regime identification, whilst discretionary applications leverage the economic assessment for tactical trading decisions.
Economic Research Applications
The transparent methodology and data coverage make the index suitable for academic research applications. The availability of component-level data enables researchers to investigate the relative importance of different economic dimensions in various market conditions.
The index construction methodology provides a replicable framework for international applications, with potential extensions to European, Asian, and emerging market economies following similar theoretical foundations.
Enhanced User Experience and Operational Features
The comprehensive feature set addresses practical requirements of institutional users whilst maintaining analytical rigour. The combination of visual customisation, intelligent data presentation, and systematic alert generation creates a professional-grade tool suitable for institutional environments.
Multi-Screen and Multi-User Adaptability
The nine positioning options and four text size settings enable optimal display across different screen configurations and user preferences. Research in human-computer interaction (Norman, 2013) demonstrates the importance of adaptable interfaces in professional settings. The system accommodates trading desk environments with multiple monitors, laptop-based analysis, and presentation settings for client meetings.
Cognitive Load Management
The seven-column table structure follows information processing principles to optimise cognitive load distribution. The categorisation system (Category, Indicator, Current, Δ%, Market Impact, Risk, Updated) provides logical information hierarchy whilst the risk assessment colour coding enables rapid pattern recognition. This design approach follows established guidelines for financial information displays (Few, 2006).
Real-Time Decision Support
The cross-asset market impact notation (B:+/=/- E:+/=/- $:+/=/-) provides immediate assessment capabilities for portfolio managers and traders. The aggregated summary functionality allows rapid assessment of overall market conditions across asset classes, reducing decision-making time whilst maintaining analytical depth. The standardised notation system enables consistent interpretation across different users and time periods.
Professional Alert Management
The seven-tier alert system provides hierarchical notification appropriate for different organisational levels and time horizons. Critical regime change alerts serve immediate tactical needs, whilst expansion/contraction regime alerts support strategic positioning decisions. The threshold-based approach ensures alerts trigger at economically meaningful levels rather than arbitrary technical levels.
Data Quality and Reliability Features
The system implements multiple data quality controls including missing value handling, timestamp verification, and graceful degradation during data outages. These features ensure continuous operation in professional environments where reliability is paramount. The implementation follows software reliability principles whilst maintaining analytical integrity.
Customisation for Institutional Workflows
The extensive customisation capabilities enable integration into existing institutional workflows and visual standards. The eight colour themes accommodate different corporate branding requirements and user preferences, whilst the technical parameters allow adaptation to different analytical approaches and risk tolerances.
Limitations and Constraints
Data Dependency
The index relies upon the continued availability and accuracy of source data from government statistical agencies. Revisions to historical data may affect index consistency, though the use of real-time data vintages mitigates this concern for practical applications.
Data release schedules vary across indicators, creating potential timing mismatches in the composite calculation. The framework addresses this limitation by using the most recently available data for each component, though this approach may introduce minor temporal inconsistencies during periods of delayed data releases.
Structural Relationship Stability
The fixed weighting scheme assumes stability in the relative importance of economic indicators over time. Structural changes in the economy, such as shifts in the relative importance of manufacturing versus services, may require periodic rebalancing of component weights.
The framework does not incorporate time-varying parameters or regime-dependent weighting schemes, representing a potential area for future enhancement. However, the current approach maintains interpretability and transparency that would be compromised by more complex methodologies.
Frequency Limitations
Different indicators report at varying frequencies, creating potential timing mismatches in the composite calculation. Monthly indicators may not capture high-frequency economic developments, whilst the use of the most recent available data for each component may introduce minor temporal inconsistencies.
The framework prioritises data availability and reliability over frequency, accepting these limitations in exchange for comprehensive economic coverage and institutional-quality data sources.
Future Research Directions
Future enhancements could incorporate machine learning techniques for dynamic weight optimisation based on economic regime identification. The integration of alternative data sources, including satellite data, credit card spending, and search trends, could provide additional economic insight whilst maintaining the theoretical grounding of the current approach.
The development of sector-specific variants of the index could provide more granular economic assessment for industry-focused applications. Regional variants incorporating state-level economic data could support geographical diversification strategies for institutional investors.
Advanced econometric techniques, including dynamic factor models and Kalman filtering approaches, could enhance the real-time estimation accuracy whilst maintaining the interpretable framework that supports practical decision-making applications.
Conclusion
The US Macroeconomic Conditions Index represents a contribution to the literature on composite economic indicators by combining theoretical rigour with practical applicability. The transparent methodology, real-time implementation, and cross-asset analysis make it suitable for both academic research and practical financial market applications.
The empirical performance and alignment with business cycle analysis validate the theoretical framework whilst providing confidence in its practical utility. The index addresses a gap in available tools for real-time macroeconomic assessment, providing institutional investors and researchers with a framework for economic condition evaluation.
The systematic approach to cross-asset implications and risk assessment extends beyond traditional composite indicators, providing value for financial market applications. The combination of academic rigour and practical implementation represents an advancement in macroeconomic analysis tools.
References
Aruoba, S. B., Diebold, F. X., & Scotti, C. (2009). Real-time measurement of business conditions. Journal of Business & Economic Statistics, 27(4), 417-427.
Basseville, M., & Nikiforov, I. V. (1993). Detection of abrupt changes: Theory and application. Prentice Hall.
Bishop, C. M. (2006). Pattern recognition and machine learning. Springer.
Brave, S., & Butters, R. A. (2011). Monitoring financial stability: A financial conditions index approach. Economic Perspectives, 35(1), 22-43.
Burns, A. F., & Mitchell, W. C. (1946). Measuring business cycles. NBER Books, National Bureau of Economic Research.
Campbell, J. Y., Lo, A. W., & MacKinlay, A. C. (1997). The econometrics of financial markets. Princeton University Press.
Carroll, C. D., Fuhrer, J. C., & Wilcox, D. W. (1994). Does consumer sentiment forecast household spending? If so, why? American Economic Review, 84(5), 1397-1408.
Clarida, R., Gali, J., & Gertler, M. (2000). Monetary policy rules and macroeconomic stability: Evidence and some theory. Quarterly Journal of Economics, 115(1), 147-180.
Cochrane, J. H. (2005). Asset pricing. Princeton University Press.
Cormen, T. H., Leiserson, C. E., Rivest, R. L., & Stein, C. (2009). Introduction to algorithms. MIT Press.
Doz, C., Giannone, D., & Reichlin, L. (2011). A two-step estimator for large approximate dynamic factor models based on Kalman filtering. Journal of Econometrics, 164(1), 188-205.
Dzeng, R. J., & Lin, Y. C. (2004). Intelligent agents for supporting construction procurement negotiation. Expert Systems with Applications, 27(1), 107-119.
Elliot, A. J., & Maier, M. A. (2014). Color psychology: Effects of perceiving color on psychological functioning in humans. Annual Review of Psychology, 65, 95-120.
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Gordon, M. J. (1962). The investment, financing, and valuation of the corporation. Richard D. Irwin.
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Koenig, E. F. (2002). Using the purchasing managers' index to assess the economy's strength and the likely direction of monetary policy. Economic and Financial Policy Review, 1(6), 1-14.
Krugman, P. R., & Obstfeld, M. (2009). International economics: Theory and policy. Pearson.
Ludvigson, S. C. (2004). Consumer confidence and consumer spending. Journal of Economic Perspectives, 18(2), 29-50.
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Markowitz, H. (1952). Portfolio selection. Journal of Finance, 7(1), 77-91.
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caracalla ema long short signal📌 Indicator Name
caracalla ema long short signal
This script generates long and short trading signals using multiple technical indicators: EMAs, MACD, RSI, Stochastic, and volume.
🔧 Indicators Used
1. Exponential Moving Averages (EMA)
ema5, ema20, ema60, ema120 — used to determine overall trend direction.
2. Trend Confirmation (MA Alignment)
Bullish alignment: ema5 > ema20 > ema60 > ema120
Bearish alignment: ema5 < ema20 < ema60 < ema120
3. Crossover Signals
Golden Cross: ema5 crosses above ema20
Dead Cross: ema5 crosses below ema20
4. MACD
Standard parameters: 12, 26, 9
MACD Long: MACD line crosses above signal line
MACD Short: MACD line crosses below signal line
5. RSI & Stochastic
RSI(14): checks momentum
Stochastic (%K, %D)
Bullish: RSI > 50 and Stochastic %K crosses above %D
Bearish: RSI < 50 and Stochastic %K crosses below %D
6. Volume Filter
20-period simple average volume
Volume Up: Current volume > 120% of average
Volume Down: Current volume < 80% of average
✅ Signal Logic
📈 Long Signal (longSignal)
Triggered when 3 or more of the following are true:
EMA bullish alignment
Golden cross
MACD bullish crossover
RSI > 50 and Stochastic bullish crossover
High volume
📉 Short Signal (shortSignal)
Triggered when 3 or more of the following are true:
EMA bearish alignment
Dead cross
MACD bearish crossover
RSI < 50 and Stochastic bearish crossover
Low volume
📊 Visual Elements
Long Signal: Green “롱” label below the candle
Short Signal: Red “숏” label above the candle
EMA Lines:
EMA5 (Blue)
EMA20 (Orange)
EMA60 (Green)
EMA120 (Red)
Hunting Bollinger Bands for scalping📌 Bollinger Band Reversal BUY/SELL Indicator
Name: Hunting Bollinger Bands for scalping
Purpose: Displays reversal signals for short-term scalping in range-bound markets.
Target Users: Scalpers and day traders, especially for trading Gold (XAU/USD).
Recommended Target: Works well for scalping approximately $3 price movements on Gold.
Core Logic:
Detects excessive price deviation using Bollinger Bands (±2σ).
Filters out excessive signals with a bar interval limiter.
Displays clear and simple BUY/SELL labels for entry timing.
📌 Signal Conditions
BUY
Price closes below the Lower Bollinger Band.
At least the specified number of bars has passed since the previous signal.
Displays a “BUY” label below the bar.
SELL
Price closes above the Upper Bollinger Band.
At least the specified number of bars has passed since the previous signal.
Displays a “SELL” label above the bar.
📌 Parameters
Parameter Description Default
Bollinger Band Length (bbLength) Period for Bollinger Band calculation 20
Standard Deviation (bbStdDev) Standard deviation multiplier for band width 2.0
Signal Interval (barLimit) Minimum bar interval to avoid repeated signals 10
📌 How to Use
Add the indicator to your chart; Bollinger Bands and BUY/SELL labels will appear.
When a signal appears, confirm price reaction and enter a scalp trade (around $3 for Gold is recommended).
Adjust the “Signal Interval (barLimit)” to control signal frequency.
Avoid using it during high-impact news events or strong trending markets.
📌 Best Market Conditions
Range-bound markets
Scalping small price movements (~$3)
Low-volatility sessions (e.g. Asian session for Gold)
📌 Notes
May generate frequent signals during strong trends, leading to potential losses.
Can be combined with other indicators (e.g. 200 MA, RSI, VWAP) for higher accuracy.
Signals are for reference only and should not be used as the sole trading decision factor.
📌 ボリンジャーバンド逆張りBUY/SELL インジケーター解説
名前：Hunting Bollinger Bands for scalping
目的：レンジ相場での短期的な反発を狙った逆張りシグナルを表示
対象ユーザー：スキャルピングやデイトレードで、特にゴールド(XAU/USD)での小幅な値動きを狙うトレーダー
推奨利幅：ゴールドでおよそ 3ドル前後 を目安にスキャルピングを行うと有効
メインロジック：
ボリンジャーバンド（±2σ）で過剰な価格乖離を検出
バー間隔フィルターで過剰シグナルを制御
BUY/SELLラベルで視覚的にシンプルなエントリーポイントを表示
📌 シグナル条件
BUY（買いシグナル）
現在価格が ボリンジャーバンド下限（Lower Band）を下回った時
前回シグナルから指定したバー数以上経過
この条件を満たした場合、ローソク足下に「BUY」ラベルを表示します。
SELL（売りシグナル）
現在価格が ボリンジャーバンド上限（Upper Band）を上回った時
前回シグナルから指定したバー数以上経過
この条件を満たした場合、ローソク足上に「SELL」ラベルを表示します。
📌 パラメータ
項目 説明 初期値
ボリンジャーバンド期間 (bbLength) ボリンジャーバンド計算の期間 20
標準偏差 (bbStdDev) バンド幅を決める標準偏差 2.0
シグナル間隔 (barLimit) シグナルの連続表示を防止する最小バー間隔 10
📌 使い方
インジケーターをチャートに追加すると、ボリンジャーバンドとBUY/SELLラベルが表示されます
シグナルが出たら、反発確認後にスキャルピングエントリー（ゴールドなら約3ドルを目安に）
「シグナル間隔（barLimit）」を調整して、シグナルの過剰表示を防ぐ
経済指標発表や強いトレンド発生時は使用を控える
📌 このインジケーターが向いている相場
レンジ相場
小さな値幅（約3ドル前後）を狙うスキャルピング
トレンドが弱い横ばいの時間帯（例：アジア時間のゴールドなど）
📌 注意点
強いトレンド相場では、逆張りシグナルが連続的に発生し、損切りが増える可能性あり
200MAやRSI、VWAPなど他の指標と組み合わせることで精度を高められる
シグナルは参考用であり、単独での売買判断は推奨されない
トレンドフォローBUY&SELL ver1.1Indicator Description
This indicator displays three moving averages (MAs) and generates buy and sell signals based on their crossovers. It’s designed to help traders easily follow the trend and avoid counter-trend trades.
1. Three Moving Averages
MA1 (Default: 7) – Short-term trend (Yellow)
MA2 (Default: 50) – Medium-term trend (Blue)
MA3 (Default: 200) – Long-term trend (Red), also used as a filter
2. Signal Types
(A) MA1 and MA3 Crossovers (Yellow Signals)
Golden Cross (BUY): MA1 crosses above MA3
Dead Cross (SELL): MA1 crosses below MA3
→ Helps identify shifts between short-term and long-term trends.
(B) MA1 and MA2 Crossovers (Green & Red Signals)
BUY (Green): MA1 and MA2 cross, and both are above MA3
SELL (Red): MA1 and MA2 cross, and both are below MA3
→ Only trend-aligned signals are shown (buy only above MA3, sell only below MA3).
(C) Gray Signals (Filtered-Out Signals)
If MA1 and MA2 cross but don’t meet the MA3 condition, a gray signal is displayed.
Example: “BUY” below MA3 or “SELL” above MA3 appears as gray.
→ This feature is ON by default but can be turned OFF in the settings.
3. Alerts
Alerts can be triggered for:
MA1 × MA3 Golden Cross / Dead Cross
MA1 × MA2 BUY / SELL (with MA3 filter)
This allows you to receive notifications when valid trade setups occur.
4. Key Benefits
Visualize short-, medium-, and long-term trends at the same time
Trade only in the direction of the 200MA trend using the built-in filter
Optionally view filtered-out (gray) signals for extra context
Set alerts to avoid missing trading opportunities
With this indicator, you can focus on trading with the trend—buying above the 200MA and selling below it—while staying informed of all crossover events.
このインジケーターは 3本の移動平均線（MA） と、
それらのクロスに基づいた 売買シグナル を表示するツールです。
1. 3本の移動平均線
MA1（デフォルト7）：短期のトレンドを把握するための線（黄色）
MA2（デフォルト50）：中期のトレンドを把握するための線（青）
MA3（デフォルト200）：長期のトレンド（赤）。フィルターとしても使用
2. シグナルの種類
(A) MA1とMA3のクロス（黄色シグナル）
ゴールデンクロス（BUY）：MA1がMA3を上抜け
デッドクロス（SELL）：MA1がMA3を下抜け
→ 長期トレンドと短期の変化を確認するための参考シグナル
(B) MA1とMA2のクロス（緑・赤シグナル）
BUY（緑）：MA1とMA2がクロスし、両方がMA3より上にある
SELL（赤）：MA1とMA2がクロスし、両方がMA3より下にある
→ 200MAを基準に「上なら買い、下なら売り」のトレンド方向に沿ったシグナルだけを表示
(C) グレーシグナル（フィルター除外）
MA1とMA2がクロスしたが、MA3の条件を満たさなかった場合にグレー表示
例えば「MA3より下でBUY」「MA3より上でSELL」はグレー
→ 初期設定ではONになっていますが、オフにすることも可能
逆張りの指標や、トレンド転換のサインにもなる
3. アラート機能
MA1×MA3のゴールデンクロス/デッドクロス
MA1×MA2のBUY/SELL（MAフィルターあり）
→ これらが発生したタイミングでTradingViewのアラートを出せる
4. 使い方のポイント
短期・中期・長期のトレンドを同時に把握できる
200MAを基準にフィルターすることで「逆張りシグナル」を排除
フィルターで外れたシグナルもグレーで確認できる（任意）
アラートを設定すれば、チャンスを逃さずにエントリー可能
このインジケーターを使うことで、「200MAの上では買いのみ」「下では売りのみ」というシンプルでトレンドに沿ったトレードができるようになります。
Range Filter Strategy [Real Backtest]Range Filter Strategy - Real Backtesting
# Overview
Advanced Range Filter strategy designed for realistic backtesting with precise execution timing and comprehensive risk management. Built specifically for cryptocurrency markets with customizable parameters for different assets and timeframes.
Core Algorithm
Range Filter Technology:
- Smooth Average Range calculation using dual EMA filtering
- Dynamic range-based price filtering to identify trend direction
- Anti-noise filtering system to reduce false signals
- Directional momentum tracking with upward/downward counters
Key Features
Real-Time Execution (No Delay)
- Process orders on tick: Immediate execution without waiting for bar close
- Bar magnifier integration for intrabar precision
- Calculate on every tick for maximum responsiveness
- Standard OHLC bypass for enhanced accuracy
Realistic Price Simulation
- HL2 entry pricing (High+Low)/2 for realistic fills
- Configurable spread buffer simulation
- Random slippage generation (0 to max slippage)
- Market liquidity validation before entry
Advanced Signal Filtering
- Volume-based filtering with customizable ratio
- Optional signal confirmation system (1-3 bars)
- Anti-repetition logic to prevent duplicate signals
- Daily trade limit controls
Risk Management
- Fixed Risk:Reward ratios with precise point calculation
- Automatic stop loss and take profit execution
- Position size management
- Maximum daily trades limitation
Alert System
- Real-time alerts synchronized with strategy execution
- Multiple alert types: Setup, Entry, Exit, Status
- Customizable message formatting with price/time inclusion
- TradingView alert panel integration
Default Parameters
Optimized for BTC 5-minute charts:
- Sampling Period: 100
- Range Multiplier: 3.0
- Risk: 50 points
- Reward: 100 points (1:2 R:R)
- Spread Buffer: 2.0 points
- Max Slippage: 1.0 points
Signal Logic
Long Entry Conditions:
- Price above Range Filter line
- Upward momentum confirmed
- Volume requirements met (if enabled)
- Confirmation period completed (if enabled)
- Daily trade limit not exceeded
Short Entry Conditions:
- Price below Range Filter line
- Downward momentum confirmed
- Volume requirements met (if enabled)
- Confirmation period completed (if enabled)
- Daily trade limit not exceeded
Visual Elements
- Range Filter line with directional coloring
- Upper and lower target bands
- Entry signal markers
- Risk/Reward ratio boxes
- Real-time settings dashboard
Customization Options
Market Adaptation:
- Adjust Sampling Period for different timeframes
- Modify Range Multiplier for various volatility levels
- Configure spread/slippage for different brokers
- Set appropriate R:R ratios for trading style
Filtering Controls:
- Enable/disable volume filtering
- Adjust confirmation requirements
- Set daily trade limits
- Customize alert preferences
Performance Features
- Realistic backtesting results aligned with live trading
- Elimination of look-ahead bias
- Proper order execution simulation
- Comprehensive trade statistics
Alert Configuration
Alert Types Available:
- Entry signals with complete trade information
- Setup alerts for early preparation
- Exit notifications for position management
- Filter direction changes for market context
Message Format:
Symbol - Action | Price: XX.XX | Stop: XX.XX | Target: XX.XX | Time: HH:MM
Usage Recommendations
Optimal Settings:
- Bitcoin/Major Crypto: Default parameters
- Forex: Reduce sampling period to 50-70, multiplier to 2.0-2.5
- Stocks: Reduce sampling period to 30-50, multiplier to 1.0-1.8
- Gold: Sampling period 60-80, multiplier 1.5-2.0
TradingView Configuration:
- Recalculate: "On every tick"
- Orders: "Use bar magnifier"
- Data: Real-time feed recommended
Risk Disclaimer
This strategy is designed for educational and analytical purposes. Past performance does not guarantee future results. Always test thoroughly on paper trading before live implementation. Consider market conditions, broker execution, and personal risk tolerance when using any automated trading system.
Best Settings Found for Gold 15-Minute Timeframe
After extensive testing and optimization, these are the most effective settings I've discovered for trading Gold (XAUUSD) on the 15-minute timeframe:
Core Filter Settings:
Sampling Period: 100
Range Multiplier: 3.0
Professional Execution Engine:
Realistic Entry: Enabled (HL2)
Spread Buffer: 2 points
Dynamic Slippage: Enabled with max 1 point
Volume Filter: Enabled at 1.7x ratio
Signal Confirmation: Enabled with 1 bar confirmation
Risk Management:
Stop Loss: 50 points
Take Profit: 100 points (2:1 Risk-Reward)
Max Trades Per Day: 5
These settings provide an excellent balance between signal accuracy and realistic market execution. The volume filter at 1.7x ensures we only trade during periods of sufficient market activity, while the 1-bar confirmation helps filter out false signals. The spread buffer and slippage settings account for real trading costs, making backtest results more realistic and achievable in live trading.
Range Filter Strategy [Arabic Real Backtest]استراتيجية مرشح النطاق - اختبار واقعي
نظرة عامة
استراتيجية مرشح النطاق المتقدمة مصممة للاختبار الواقعي مع توقيت تنفيذ دقيق وإدارة مخاطر شاملة. تم بناؤها خصيصًا لأسواق العملات الرقمية مع معلمات قابلة للتخصيص لأصول وفترات زمنية مختلفة.
الخوارزمية الأساسية
تقنية مرشح النطاق:
* حساب متوسط النطاق السلس باستخدام فلترة مزدوجة للـ EMA
* فلترة أسعار استنادًا إلى النطاق الديناميكي لتحديد اتجاه الاتجاه
* نظام فلترة ضد الضوضاء لتقليل الإشارات الخاطئة
* تتبع الزخم الاتجاهي مع عدادات للأعلى/للأسفل
الميزات الرئيسية
**التنفيذ الفوري (بدون تأخير)**
* معالجة الأوامر عند كل نقطة: تنفيذ فوري دون انتظار إغلاق الشمعة
* تكامل مكبر الشمعة للحصول على دقة داخل الشمعة
* الحساب في كل نقطة لضمان الاستجابة القصوى
* تجاوز OHLC القياسي لزيادة الدقة
**محاكاة الأسعار الواقعية**
* تسعير الدخول باستخدام HL2 (High+Low)/2 لملء واقعي
* محاكاة للبُعد العازل للسعر القابل للتخصيص
* إنشاء انزلاق عشوائي (من 0 إلى الحد الأقصى للانزلاق)
* التحقق من سيولة السوق قبل الدخول
**فلترة الإشارات المتقدمة**
* فلترة استنادًا إلى الحجم مع نسبة قابلة للتخصيص
* نظام تأكيد الإشارة اختياري (من 1 إلى 3 شموع)
* منطق مضاد للتكرار لمنع الإشارات المكررة
* التحكم في حد التداول اليومي
**إدارة المخاطر**
* نسب ثابتة للمخاطرة: العائد مع حساب دقيق للنقاط
* تنفيذ وقف الخسارة وجني الأرباح تلقائيًا
* إدارة حجم المركز
* تحديد الحد الأقصى للصفقات اليومية
**نظام التنبيهات**
* تنبيهات فورية متزامنة مع تنفيذ الاستراتيجية
* أنواع متعددة من التنبيهات: إعداد، دخول، خروج، حالة
* تخصيص تنسيق الرسائل مع تضمين السعر/الوقت
* تكامل مع لوحة تنبيهات TradingView
المعلمات الافتراضية
محسن لرسوم بيانية لفترة 5 دقائق لبيتكوين:
* فترة العينة: 100
* معامل النطاق: 3.0
* المخاطرة: 50 نقطة
* المكافأة: 100 نقطة (نسبة 1:2)
* بُعد الانتشار: 2.0 نقطة
* الحد الأقصى للانزلاق: 1.0 نقطة
منطق الإشارة
**شروط الدخول الطويل:**
* السعر فوق خط مرشح النطاق
* تأكيد الزخم الصاعد
* تلبية متطلبات الحجم (إذا تم تمكينها)
* اكتمال فترة التأكيد (إذا تم تمكينها)
* لم يتم تجاوز حد الصفقات اليومية
**شروط الدخول القصير:**
* السعر تحت خط مرشح النطاق
* تأكيد الزخم الهابط
* تلبية متطلبات الحجم (إذا تم تمكينها)
* اكتمال فترة التأكيد (إذا تم تمكينها)
* لم يتم تجاوز حد الصفقات اليومية
العناصر البصرية
* خط مرشح النطاق مع تلوين الاتجاه
* الأشرطة العليا والسفلى المستهدفة
* علامات إشارات الدخول
* صناديق نسبة المخاطرة/العائد
* لوحة إعدادات حية
خيارات التخصيص
**التكيف مع السوق:**
* تعديل فترة العينة لبيانات الزمن المختلفة
* تعديل معامل النطاق لمستويات التقلب المختلفة
* تكوين الانتشار/الانزلاق لوسطاء مختلفين
* تحديد النسب المناسبة للمخاطرة/العائد حسب أسلوب التداول
**ضوابط الفلترة:**
* تمكين/تعطيل فلترة الحجم
* تعديل متطلبات التأكيد
* تعيين حدود الصفقات اليومية
* تخصيص تفضيلات التنبيه
الميزات المتعلقة بالأداء
* نتائج اختبار واقعية متوافقة مع التداول المباشر
* القضاء على تحيز المستقبل
* محاكاة تنفيذ الأوامر بشكل صحيح
* إحصائيات تداول شاملة
تكوين التنبيه
**أنواع التنبيهات المتاحة:**
* إشارات الدخول مع معلومات التداول الكاملة
* تنبيهات الإعداد للتحضير المبكر
* إشعارات الخروج لإدارة المراكز
* فلترة التغيرات في الاتجاه لظروف السوق
**تنسيق الرسائل:**
رمز - الإجراء | السعر: XX.XX | الوقف: XX.XX | الهدف: XX.XX | الوقت: HH\:MM
التوصيات لاستخدام الاستراتيجية
**الإعدادات المثلى:**
* بيتكوين/العملات الرقمية الرئيسية: المعلمات الافتراضية
* الفوركس: تقليل فترة العينة إلى 50-70، المعامل إلى 2.0-2.5
* الأسهم: تقليل فترة العينة إلى 30-50، المعامل إلى 1.0-1.8
* الذهب: فترة العينة 60-80، المعامل 1.5-2.0
**تكوين TradingView:**
* إعادة الحساب: "على كل نقطة"
* الأوامر: "استخدام مكبر الشمعة"
* البيانات: يوصى باستخدام التغذية الحية
إخلاء المسؤولية
تم تصميم هذه الاستراتيجية لأغراض تعليمية وتحليلية. الأداء السابق لا يضمن النتائج المستقبلية. يجب دائمًا إجراء اختبارات شاملة على التداول الورقي قبل التنفيذ المباشر. يجب أخذ ظروف السوق، تنفيذ الوسيط، والتحمل الشخصي للمخاطر في الاعتبار عند استخدام أي نظام تداول آلي.
Range Filter Strategy - Real Backtesting
# Overview
Advanced Range Filter strategy designed for realistic backtesting with precise execution timing and comprehensive risk management. Built specifically for cryptocurrency markets with customizable parameters for different assets and timeframes.
Core Algorithm
Range Filter Technology:
- Smooth Average Range calculation using dual EMA filtering
- Dynamic range-based price filtering to identify trend direction
- Anti-noise filtering system to reduce false signals
- Directional momentum tracking with upward/downward counters
Key Features
Real-Time Execution (No Delay)
- Process orders on tick: Immediate execution without waiting for bar close
- Bar magnifier integration for intrabar precision
- Calculate on every tick for maximum responsiveness
- Standard OHLC bypass for enhanced accuracy
Realistic Price Simulation
- HL2 entry pricing (High+Low)/2 for realistic fills
- Configurable spread buffer simulation
- Random slippage generation (0 to max slippage)
- Market liquidity validation before entry
Advanced Signal Filtering
- Volume-based filtering with customizable ratio
- Optional signal confirmation system (1-3 bars)
- Anti-repetition logic to prevent duplicate signals
- Daily trade limit controls
Risk Management
- Fixed Risk:Reward ratios with precise point calculation
- Automatic stop loss and take profit execution
- Position size management
- Maximum daily trades limitation
Alert System
- Real-time alerts synchronized with strategy execution
- Multiple alert types: Setup, Entry, Exit, Status
- Customizable message formatting with price/time inclusion
- TradingView alert panel integration
Default Parameters
Optimized for BTC 5-minute charts:
- Sampling Period: 100
- Range Multiplier: 3.0
- Risk: 50 points
- Reward: 100 points (1:2 R:R)
- Spread Buffer: 2.0 points
- Max Slippage: 1.0 points
Signal Logic
Long Entry Conditions:
- Price above Range Filter line
- Upward momentum confirmed
- Volume requirements met (if enabled)
- Confirmation period completed (if enabled)
- Daily trade limit not exceeded
Short Entry Conditions:
- Price below Range Filter line
- Downward momentum confirmed
- Volume requirements met (if enabled)
- Confirmation period completed (if enabled)
- Daily trade limit not exceeded
Visual Elements
- Range Filter line with directional coloring
- Upper and lower target bands
- Entry signal markers
- Risk/Reward ratio boxes
- Real-time settings dashboard
Customization Options
Market Adaptation:
- Adjust Sampling Period for different timeframes
- Modify Range Multiplier for various volatility levels
- Configure spread/slippage for different brokers
- Set appropriate R:R ratios for trading style
Filtering Controls:
- Enable/disable volume filtering
- Adjust confirmation requirements
- Set daily trade limits
- Customize alert preferences
Performance Features
- Realistic backtesting results aligned with live trading
- Elimination of look-ahead bias
- Proper order execution simulation
- Comprehensive trade statistics
Alert Configuration
Alert Types Available:
- Entry signals with complete trade information
- Setup alerts for early preparation
- Exit notifications for position management
- Filter direction changes for market context
Message Format:
Symbol - Action | Price: XX.XX | Stop: XX.XX | Target: XX.XX | Time: HH:MM
Usage Recommendations
Optimal Settings:
- Bitcoin/Major Crypto: Default parameters
- Forex: Reduce sampling period to 50-70, multiplier to 2.0-2.5
- Stocks: Reduce sampling period to 30-50, multiplier to 1.0-1.8
- Gold: Sampling period 60-80, multiplier 1.5-2.0
TradingView Configuration:
- Recalculate: "On every tick"
- Orders: "Use bar magnifier"
- Data: Real-time feed recommended
Risk Disclaimer
This strategy is designed for educational and analytical purposes. Past performance does not guarantee future results. Always test thoroughly on paper trading before live implementation. Consider market conditions, broker execution, and personal risk tolerance when using any automated trading system.
MA Crossover Detector
The Moving Average Crossover Detector is a custom indicator that visually shows buy and sell signals clearly on the chart. based on the crossing of two moving averages — a popular and beginner-friendly tool in technical analysis.
It plots two moving averages — One fast (short period) and one slow (long period) — and highlights crossover points:
✅ Buy Signal (Golden Cross) – When the fast MA crosses above the slow MA.
❌ Sell Signal (Death Cross) – When the fast MA crosses below the slow MA.
✅ Features
Visual: Clearly shows crossovers on the chart.
Customizable: Choose periods, types, styles, etc.
Alert-ready: You can set alerts for crossovers.
The Moving Average (MA) Crossover Strategy is one of the simplest and most widely used strategies in technical analysis for trading stocks, forex, crypto, and other markets. It relies on the interaction between two moving averages to generate buy and sell signals.
Core Components
Short-Term Moving Average (Fast MA) : Reacts quickly to price changes (e.g., 9-period or 20-period).
Long-Term Moving Average (Slow MA) : Reacts more slowly to price changes (e.g., 21-period or 200-period).
How the Strategy Works
Bullish Crossover (Golden Cross):
Occurs when the fast MA crosses above the slow MA. Interpreted as a buy signal, indicating a potential uptrend.
Bearish Crossover (Death Cross):
Occurs when the fast MA crosses below the slow MA. Interpreted as a sell signal, indicating a potential downtrend.
Common Variants
Short-term trading
9 EMA
21 EMA
Swing trading
20 SMA
50 SMA
Long-term investing
50 SMA
200 SMA
Pros
Easy to understand and implement
Works well in trending markets
Can be automated for backtesting and execution
Cons
Lagging indicator: MAs are based on past prices, so signals come after the move has started.
Choppy markets = whipsaws: Generates false signals in sideways/range-bound conditions.
May underperform in volatile or mean-reverting environments
Tips for Improvement
Use confirmation tools : e.g., RSI, MACD, volume analysis, price action
Add filters : Trend filter (ADX), volatility filter (ATR), or time filter (session-based)
Combine with price structure : Support/resistance, breakouts, pullbacks
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Updated 3 hours ago
Institutional Analyst Board
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Jul 19
📊 Institutional Analyst Board – Smart Money Confluence Scanner for XAUUSD, Forex, Crypto
🔍 Overview
The Institutional Analyst Board is a complete multi-timeframe smart money toolkit designed for traders who demand clarity, confluence, and precision. It brings together institutional-grade metrics—Order Blocks (OB), Fair Value Gaps (FVG), Liquidity Sweeps, MACD/RSI bias, VWAP positioning, and Break of Structure (BoS)—into a single powerful visual dashboard.
This indicator is especially optimized for Gold (XAUUSD) but is also compatible with Crypto and Forex assets.
🧠 Key Features
✅ Multi-Timeframe Dashboard (5M / 15M / 1H)
✅ Order Block Detection with dynamic zones that extend until broken
✅ Fair Value Gap Detection with clear zone shading and border distinction
✅ MACD + RSI Confluence for momentum and bias alignment
✅ VWAP Positioning to identify premium/discount zones
✅ Liquidity Sweeps (internal/external range breaks)
✅ Killzone Highlighting (Asia / London / New York)
✅ Break of Structure (BoS) with advanced confluence filters
✅ Gold Bias Flags across timeframes (BUY / SELL / NEUTRAL)
✅ Dynamic Price Watermark with real-time data
✅ Fully customizable colors, transparencies, and text labels
🧠 How It Works
The Board uses institutional logic to analyze the chart in real time:
Metric Purpose
OB Zones Highlight potential smart money footprints where price is likely to react.
FVG Zones Identify imbalance areas between buyers and sellers—ideal for mean reversion entries.
MACD/RSI Confirm momentum direction and relative strength confluence.
VWAP Determine whether price is trading at a premium or discount.
Liquidity Sweeps Detect manipulative moves before major reversals.
BoS Mark potential trend reversals, filtered by institutional confluence.
Each signal is computed across 3 timeframes and visualized in a clean board that updates live. You’ll also see labels, alerts, and session overlays for maximum clarity.
📌 Ideal Use Case
This tool is perfect for:
Funded Challenge Traders (FTMO, MyForexFunds, etc.)
Gold scalpers and intraday traders
Crypto price action traders using BTC, ETH, SOL, etc.
Smart Money Concept (SMC) and ICT followers
⚙️ Customization Options
Toggle each module (OB, FVG, VWAP, MACD/RSI, etc.)
Set transparency and color for each zone type
Adjust Killzone timing (Asia, London, NY)
Control board position (Top/Bottom) and metric visibility
📈 Compatible Assets
✅ XAUUSD (optimized)
✅ Forex majors/minors
✅ Crypto pairs (BTC, ETH, SOL, etc.)
✅ Indices (GER40, NASDAQ, SPX with minor adaptation)
🛠️ Requirements
Use on TradingView v5
Set chart time to UTC+0 or UTC+3 for optimal Killzone accuracy
For crypto, redefine Killzone hours if needed (24/7 market)
🧠 Pro Tip
Pair this indicator with volume profile tools, CVD/Delta Flow, or Footprint overlays to build high-confidence trade setups with clear institutional confluence.
Hopiplaka's Twin Tower Levels (Variable multiplier)Indicator i made for myself to study and apply Hopiplaka's teachings (www.hopiplaka.com).
If you know what you are doing, you just need to enter the latest 3 fix prices manually in the options. Then select your circuit breaker multiplier (decimated 7% by default, but freely variable). Change the style of the indicator however you like.
I'm not a pro coder, i made this to play with it and add more ranges as i learn pine script v6. I just needed to change between multipliers on a session without messing with layers. Use it if you like it.
For more details about how to use this visit www.hopiplaka.com, he is the creator of the system i like to trade with.
Enjoy
Hopiplaka's Circuit Breakers by -NZA333-Indicator for Hopiplaka's Circuit Breaker and Twin Tower setup, for algorithmic traders. For more details about how to use these important levels, please refer to hopiplaka.com and buy his books @ hopiplaka.gumroad.com
Open the indicator's options and enter your fix prices and price limits percent for today and the last 2 days. Enjoy!
SMAs Ghost in the Machine v3SMAs Ghost in the Machine v3
Created by: MecarderoAurum
Overview
The "SMAs Ghost in the Machine" is a powerful multi-timeframe analysis tool designed for traders who want to align their entries and exits with the trend on several different chart periods simultaneously. At its core, the indicator plots the 9-period and 20-period Simple Moving Averages (SMAs) from up to three user-defined timeframes directly onto your active chart.
Its most powerful feature is the Combined Crossover Signal, which allows you to create highly specific, custom trading setups by defining conditions that must occur at the same time across any of the enabled timeframes. This eliminates guesswork and helps you visually confirm when your precise market conditions are met.
Important Note on Line Drawing
This indicator allows you to see trends of other timeframes. A specific design choice was made not to smooth the moving average lines. This is to ensure that the crossover signals appear on the exact candle where the cross occurs in real-time. Smoothing the lines can cause a delay and shift the signal to a later candle.
The side effect of this accuracy is that the lines will appear "stepped." As new data comes in on your current chart, you may need to refresh the chart to keep the higher timeframe lines updated. We are working on a solution to this.
Capabilities
Multi-Timeframe Analysis: Plot the 9 and 20 SMAs from three different timeframes (e.g., 1-minute, 5-minute, and 30-minute) on a single chart.
Individual Crossover Signals: Automatically plots a green triangle (▲) for a "Golden Cross" (9 SMA crosses above 20) and a red triangle (▼) for a "Death Cross" (9 SMA crosses below 20) on each individual timeframe.
Combined Crossover Engine: Define a custom bullish or bearish signal by combining multiple events. The indicator will plot a green diamond (◆) for your bullish setup and a red diamond (◆) for your bearish setup when all specified conditions are met on the same candle.
Customizable Alerts: Create alerts for both the individual 9/20 SMA crosses and your custom Combined Crossover Signal to ensure you never miss a potential setup.
How to Use the Indicator
Basic Setup
Add the "SMAs Ghost in the Machine v3" indicator to your TradingView chart.
Open the indicator settings.
Under the Timeframe Settings, enable the timeframes you want to monitor and select the desired period for each (e.g., TF1: '1', TF2: '5', TF3: '30').
Configuring the Combined Crossover Signal
This is the core feature for defining your specific trading setups.
In the settings, go to the "Combined Crossover Signal" group and check the box to "Enable Combined Signal."
Decide if you are building a bullish (long) or bearish (short) setup.
Under the "Bullish Setup" or "Bearish Setup" sections, check the boxes for every event that must happen at the same time for your signal to trigger.
Example Bullish Setup:
Let's say your strategy is to go long when:
On the 1-minute chart (TF1), the price crosses above the 9 SMA.
AND, on the 5-minute chart (TF3), the price also crosses above its 9 SMA.
To configure this, you would check the following two boxes under the "Bullish Setup":
TF1: Price crosses above 9 SMA
TF3: Price crosses above 9 SMA
Now, a green diamond (◆) will only appear on your chart when both of those conditions are true on the exact same bar, giving you a precise entry signal.
Setting Up Alerts
Go to the "Alert Settings" tab in the indicator options.
Check the boxes for the alerts you want to enable (e.g., "Alert on TF1 SMA Cross," "Alert on Combined Signal").
Close the settings. Now, right-click on the chart and choose "Add alert."
In the "Condition" dropdown, select "SMA Ghosts v3."
A second dropdown will appear. Choose the specific event you want an alert for, such as Combined Bullish Signal or TF1 Golden Cross.
Configure the alert options as desired and click "Create."
Trading Strategies
Trend Confirmation: Use the indicator on a 1-minute chart with the 5-minute 9/20 SMA lines enabled to see the 5-minute trend. Only take 1-minute trades that are in the same direction as the 5-minute SMAs.
Multi-Flow Alignment: Keep track of bigger timeframes (like the 30-min or 4-hour) to also match your entries with longer-term market flows.
Avoid Flat Markets: Avoid taking trades when the SMA lines from multiple timeframes are flat or moving sideways, as this indicates a lack of clear trend.
StarStrat Ceres Strategy [0.3.1]2025ETH 30M Composite Golden Indicator Trend Strategy
This strategy is designed for Ethereum 30-minute timeframe, utilizing composite golden indicators combined with trend indicators for trade signal identification.
Trading Logic:
- Entry: Triggered when composite golden indicator and trend indicator confirm same direction
- Exit: Partial profit-taking mechanism with customizable parameters for each position
- Risk Management: Built-in risk coefficient, recommended setting at 1%
All key parameters are adjustable to adapt to different trading styles.
Risk Disclaimer: For educational and research purposes only. Not investment advice. Cryptocurrency trading involves high risk, please trade cautiously.
