SALSA MultiStrategy DashboardENGLISH VERSION (Primary)
Why I Created This Unified Dashboard
The Problem with Analysis Fragmentation:
As an active trader, I found myself constantly struggling with chart clutter - having 5-8 separate indicators open simultaneously. This created cognitive overload and made it difficult to identify confluence across different technical approaches. The constant switching between indicators and managing multiple windows was disrupting my trading workflow and decision-making process.
My Solution:
I developed the SALSA MultiStrategy Dashboard to solve this specific problem by integrating complementary technical methodologies into a single, cohesive view. This isn't just a random collection of indicators, but a carefully curated selection that work together to provide comprehensive market analysis.
What Makes This Dashboard Unique
Integrated Analysis Framework:
Squeeze Momentum System: Identifies consolidation periods and potential breakout directions with color-coded momentum signals
ADX Trend Strength Analysis: Customizable key level (default: 23) for trend strength assessment with visual scaling
RSI with Built-in Divergence: Dual-timeframe RSI analysis with automatic divergence detection
Multi-Timeframe Confirmation: Additional oscillators (MFI, Stochastic, AO, MACD, CCI) for signal validation
Key Innovations:
Unified Scaling System: All indicators share a common scale, making visual comparison intuitive
Integrated Divergence Detection: Consistent divergence logic applied across both Squeeze Momentum and RSI
Smart Color Coding: Visual cues that highlight momentum shifts and trend strength
Trading Status Module: Real-time market condition assessment based on multiple factor confluence
How It Works - Technical Foundation
Squeeze Momentum Component:
Uses Bollinger Bands® and Keltner Channels to detect market compression
Momentum calculation based on linear regression of price action
Color transitions indicate momentum shifts (Cyan/Blue for bullish, Yellow/Orange for bearish)
ADX with Custom Key Levels:
Implements Wilder's ADX with adjustable key level threshold
Visual scaling adapts to market conditions
Separate +DI/-DI plotting options for additional trend direction insight
Advanced RSI System:
Standard RSI with fast-slow momentum divergence detection
Configurable overbought/oversold levels
SMA smoothing for reduced noise
Practical Usage Guidelines
For Trend Identification:
Watch for Squeeze Momentum breaking above/below zero with corresponding ADX above key level
Look for RSI confirmation in the same direction
Use additional oscillators for secondary confirmation
For Divergence Trading:
Monitor for regular and hidden divergences on both Squeeze and RSI
Wait for price action confirmation
Use ADX trend strength to filter high-probability setups
Customization Options:
Toggle individual components on/off based on your trading style
Adjust sensitivity parameters for different timeframes
Modify key levels to match specific market conditions
SPANISH VERSION (Secondary)
Por Qué Creé Este Dashboard Unificado
El Problema con la Fragmentación del Análisis:
Como trader activo, me encontraba constantemente luchando con el desorden en los gráficos - teniendo 5-8 indicadores separados abiertos simultáneamente. Esto creaba sobrecarga cognitiva y dificultaba identificar confluencia entre diferentes enfoques técnicos. El cambio constante entre indicadores y la gestión de múltiples ventanas estaba interrumpiendo mi flujo de trabajo y proceso de decisión.
Mi Solución:
Desarrollé el SALSA MultiStrategy Dashboard para resolver este problema específico integrando metodologías técnicas complementarias en una vista única y cohesiva. Esto no es solo una colección aleatoria de indicadores, sino una selección cuidadosamente curada que trabajan juntos para proporcionar análisis de mercado integral.
Componentes Principales y Su Función
Sistema de Momento Squeeze:
Detecta períodos de consolidación y direcciones potenciales de ruptura
Señales de momento codificadas por colores para identificación visual rápida
Análisis de Fuerza de Tendencia ADX:
Nivel clave personalizable (por defecto: 23) para evaluación de fuerza de tendencia
Escalado visual adaptativo a condiciones de mercado
RSI con Detección de Divergencia Integrada:
Análisis RSI de doble marco temporal con detección automática de divergencias
Niveles de sobrecompra/sobreventa configurables
Cómo Utilizar el Dashboard
Para Trading de Tendencia:
Squeeze Momentum rompiendo arriba/abajo de cero con ADX sobre nivel clave
Confirmación RSI en la misma dirección
Osciladores adicionales para confirmación secundaria
Para Trading por Divergencia:
Monitorear divergencias regulares y ocultas en Squeeze y RSI
Esperar confirmación de acción del precio
Usar fuerza de tendencia ADX para filtrar setups de alta probabilidad
Important Compliance Notes:
Title: "SALSA MultiStrategy Dashboard" (English only, no emojis)
Language: English first, Spanish translation provided
Originality: Focus on solving the specific problem of analysis fragmentation
Chart Requirements: Clean chart showing only this indicator's output
Open Source: Complete transparency about methodology and calculations
Trading Disclaimer:
This tool is designed for educational and analytical purposes to help traders develop a systematic approach to market analysis. It is not financial advice. Always conduct your own research and backtesting before making trading decisions.
Indicators and strategies
Long/Short Ratio Aggregated (Lite)Description — Long/Short Ratio Aggregated (Lite)
This indicator provides a cross-exchange, open-interest-weighted aggregation of the Long/Short Ratio (LSR) for the cryptocurrency asset currently on your chart. It is designed to unify fragmented derivatives positioning data from multiple major exchanges into a single normalized signal that more accurately reflects real market sentiment and positioning bias across platforms.
Concept and Originality
Traditional Long/Short Ratio indicators are exchange-specific. They show how many traders are long versus short, but only within the scope of one venue (e.g., Binance or Bybit). This makes them incomplete and often misleading for directional bias analysis, since different exchanges host different participant profiles, levels of leverage, and quote-currency exposures.
This script addresses that limitation by:
Aggregating LSR data across multiple exchanges (Binance and Bybit).
Weighting each ratio by Open Interest (OI) — ensuring exchanges with higher open positions contribute proportionally more to the overall sentiment.
Normalizing all contract types (USDT, USDC, and USD-margined) into a consistent base-currency format.
This step corrects for structural differences between coin- and stablecoin-margined instruments, producing a true like-for-like comparison.
The result is a globalized Long/Short Ratio, normalized by exposure and liquidity, suitable for multi-venue orderflow estimation and directional bias assessment.
Note for moderators: I know there are already other scripts out there, but they may not support Open Interest Weighting or the same number of pairs. They also might not support proper normalization like in my script.
Calculation Methodology
For each supported exchange and contract type:
The script retrieves the latest Long/Short Ratio (LSR) and Open Interest (OI) values.
OI is used as the weighting factor, creating a proportional representation of positioning volume.
Values denominated in USD are normalized into base currency using close-price adjustment.
The final value is computed as:
Weighted LSR = (Σ (LSRᵢ × OIᵢ)) / (Σ OIᵢ)
This ensures that if, for example, Binance has twice the open interest of Bybit, its LSR contributes twice as much to the total weighted sentiment.
Interpretation
Value > 1.0 → Market participants are net-long (bullish bias).
Value < 1.0 → Market participants are net-short (bearish bias).
Strength of deviation from 1.0 indicates positioning imbalance magnitude.
Because the ratio is OI-weighted, large players or heavily margined exchanges influence the output proportionally more than smaller, low-volume venues — making this metric a better reflection of true market positioning rather than isolated retail sentiment.
Usage and Applications
Use this indicator as a component in:
Orderflow and sentiment confirmation, alongside price action and volume.
Funding rate correlation studies.
Intraday reversals or exhaustion zones, when combined with volatility or OI delta metrics.
Overlaying or combining this indicator with open interest change, cumulative volume delta, or funding rate divergence allows traders to build a high-resolution understanding of positioning shifts and crowd behavior.
Notes
The “Lite” version is optimized for execution and accessibility, focusing on accuracy while staying within Pine Script’s computational limits.
Exchange data availability may vary by symbol; unsupported pairs automatically return na and are automatically not included in the weighted calculation.
In summary:
This indicator transforms fragmented, exchange-specific Long/Short Ratio into a unified, OI-weighted global sentiment measure — a foundational tool for traders seeking to quantify derivative-side orderflow bias with cross-venue accuracy.
Smart Inside Bar Zones by Dinkan🔹 How It Works
An Inside Bar is formed when a candle’s high and low are completely within the previous candle’s range.
The indicator detects this structure in real time, creates a visual box around it, and extends the zone until the pattern is broken.
Inside Bar candles can be optionally highlighted with a custom color to make them stand out clearly on the chart.
🔹 Features
✅ Automatic Inside Bar detection
✅ Dynamic Inside Bar zone boxes with custom fill & border color
✅ Inside candle body highlighting with user-defined color
✅ Adjustable transparency and border style
✅ Option to display only the latest Inside Bar zone for cleaner charts
🔹 Usage
Traders can use Inside Bar zones to:
Study price compression and breakout regions
Observe range behavior and trend continuation setups
Combine with other tools like volume or support/resistance analysis
🔹 Customization
Change box fill and border color
Adjust Inside Candle color for better visibility
Set transparency and choose whether to show all or only the latest box
⚠️ Disclaimer
This script is intended for market structure visualization and educational purposes only.
It does not generate trading signals or financial advice.
Always perform your own analysis and risk management before making trading decisions.
CE+ZLSMA RovTrading StrateryThe strategy is optimized for scalping in small timeframes like M15 and M30, as well as M5.
It combines two indicators: CE and ZLSMA.
Try it now!
G Position Size Calculator (Crypto)G Position Size Calculator (Crypto)
This tool helps traders quickly visualize and calculate risk, position size, leverage, and R:R ratio directly on the chart for crypto trading.
It works similarly to TradingView’s Long/Short Position tool but automatically computes all metrics based on your clicks.
⚙️ How to Use
Add to Chart
Click Indicators → My Scripts → G Position Size Calculator (Crypto)
Set Entry, Stop-Loss, and Take-Profit
Open the script’s ⚙️ Settings.
Click the crosshair icon next to Entry, then click on the chart.
Do the same for Stop-Loss and Take-Profit.
Adjust Account & Risk Settings
Enter your Account Size (USD).
Set your Risk % per trade (default: 1%).
Visual Feedback
A green box shows your profit zone (Entry → TP).
A red box shows your loss zone (Entry → SL).
The label on the right displays:
Risk (% and $)
R:R ratio
Position size (units)
Leverage required
Fine-Tune Without Re-clicking
Use the nudge inputs (Entry, Stop, TP) to move levels up/down by 1 tick at a time.
Positive = up, negative = down.
Re-pick Levels Anytime
Re-open settings and click the crosshair again to redefine a level.
📈 Features
Automatic calculation of risk, position size, leverage, and R:R ratio.
Visual green/red box representing profit and loss areas.
Adjustable risk %, account balance, and label offset.
“Nudge” controls to emulate quick drag adjustments.
Clean layout designed for crypto price charts (works on any symbol).
Simple Keltner ChannelsThis script is just a fun little project I decided to do. It serves as a way for me to practice my coding and was not made with the intent of making money.
ATR DAILY PROGRESSION)Indicator: ATR Daily Progression — Final Compact Edition
1. Indicator Objective
The ATR Daily Progression indicator measures the progression of intraday volatility as a percentage of the daily Average True Range (ATR).
It provides a quick visual overview of whether the market has reached or exceeded its average daily range of movement.
This helps traders avoid entering low-probability continuation trades once the day’s ATR is already completed.
2. Visual Presentation
Horizontal bar ranging from 0% to 150% of the ATR.
Green color up to 100%, then red beyond that point.
Main ticks: 0, 25, 50, 75, 90, 100, and 150%.
Full-height white vertical lines at 0%, 100%, and 150%.
A floating badge displaying the current ATR completion percentage, always visible.
Compact Height mode enabled by default for optimal visual integration.
3. Key Features
Function Description
Precise alignment The transition from green to red occurs exactly after the 100% tick.
Audio & visual alerts Triggered at 75%, 90%, 100%, and 150%.
Session flash effects The filled bar blinks when the ATR is reached (100%) or exceeded (150%).
Dynamic badge Displays the current ATR %, green before 100%, red after.
Compact layout Three-line table format for better chart integration.
4. Recommended Settings
ATR Length (Daily): 14
Bar width (steps): 32–40 (depending on chart size)
Always green below 100%: enabled
Show floating % badge: enabled
Compact Height: enabled by default
Flash at 75% and 90%: enabled
Flash at 100% and 150%: enabled
5. Strategic Use
The ATR Done Today is a visual discipline tool designed to help traders:
Identify when the market has likely completed its daily move.
Avoid late-session counter-trend trades.
Visualize volatility compression or expansion.
Determine optimal times to take profits or pause trading.
Bull vs Bear Volume(Simplified)Bull vs Bear Volume
After experimenting with countless volume-based indicators, I sought a simple way to visualize buying and selling pressure with just two lines—an indicator that stays closely coupled with price action.
I went through endless trial and error, building extremely complex volume indicators, only to find that in live trading, errors kept arising and the tools became more hindrance than help. Yet, to enhance the reliability of price indicators, a trustworthy volume measure is indispensable. Even after testing numerous community-shared indicators, I could not find one that met my needs.
This led me to a simple idea: process volume only when Close > Open for buying pressure, and Close < Open for selling pressure, while cleaning out the noise. By reflecting only the volume contributing to price movement, the indicator remains stable and intuitive.
Implementing this concept, I created an indicator that, among countless volume tools, stands out for its clarity and lack of extraneous functions. Users can freely adjust the sum periods of the Bull and Bear lines, choose line styles, and even enjoy the dynamic color changes when the lines cross.
If this indicator can provide even a little assistance in trading, then my purpose is fulfilled.
Treasury Cash-Futures Basis Estimator (stable)An estimation of the Treasury Cash-Futures Basis with help from GPT
ADX +DI/-DI with Buy/Sell Signals//@version=5
indicator("ADX +DI/-DI with Buy/Sell Signals", overlay=true)
// Inputs
adxLength = input.int(14, "ADX Length")
threshold = input.float(25.0, "ADX Threshold")
// Directional Movement
upMove = ta.change(high)
downMove = -ta.change(low)
plusDM = (upMove > downMove and upMove > 0) ? upMove : 0.0
minusDM = (downMove > upMove and downMove > 0) ? downMove : 0.0
// True Range and Smoothed Values
tr = ta.rma(ta.tr, adxLength)
plusDI = 100 * ta.rma(plusDM, adxLength) / tr
minusDI = 100 * ta.rma(minusDM, adxLength) / tr
dx = 100 * math.abs(plusDI - minusDI) / (plusDI + minusDI)
adx = ta.rma(dx, adxLength)
// Buy/Sell Conditions
buySignal = ta.crossover(plusDI, minusDI) and adx > threshold
sellSignal = ta.crossover(minusDI, plusDI) and adx > threshold
// Plot Buy/Sell markers
plotshape(buySignal, title="BUY", location=location.belowbar,
color=color.new(color.lime, 0), style=shape.triangleup, size=size.large, text="BUY")
plotshape(sellSignal, title="SELL", location=location.abovebar,
color=color.new(color.red, 0), style=shape.triangledown, size=size.large, text="SELL")
// Optional ADX + DI lines (hidden by default)
plot(adx, title="ADX", color=color.yellow, linewidth=2, display=display.none)
plot(plusDI, title="+DI", color=color.green, display=display.none)
plot(minusDI, title="-DI", color=color.red, display=display.none)
hline(threshold, "ADX Threshold", color=color.gray, linestyle=hline.style_dotted)
// Alerts
alertcondition(buySignal, title="BUY Alert", message="ADX Buy Signal Triggered")
alertcondition(sellSignal, title="SELL Alert", message="ADX Sell Signal Triggered")
NY Session Range Box with Labeled Time MarkersShows opening time ny session by timing with lines to inform traders to avoid 11:30am to 1:30pm for choppy sessions and mark early and power hour .
UTBotLibrary "UTBot"
is a powerful and flexible trading toolkit implemented in Pine Script. Based on the widely recognized UT Bot strategy originally developed by Yo_adriiiiaan with important enhancements by HPotter, this library provides users with customizable functions for dynamic trailing stop calculations using ATR (Average True Range), trend detection, and signal generation. It enables developers and traders to seamlessly integrate UT Bot logic into their own indicators and strategies without duplicating code.
Key features include:
Accurate ATR-based trailing stop and reversal detection
Multi-timeframe support for enhanced signal reliability
Clean and efficient API for easy integration and customization
Detailed documentation and examples for quick adoption
Open-source and community-friendly, encouraging collaboration and improvements
We sincerely thank Yo_adriiiiaan for the original UT Bot concept and HPotter for valuable improvements that have made this strategy even more robust. This library aims to honor their work by making the UT Bot methodology accessible to Pine Script developers worldwide.
This library is designed for Pine Script programmers looking to leverage the proven UT Bot methodology to build robust trading systems with minimal effort and maximum maintainability.
UTBot(h, l, c, multi, leng)
Parameters:
h (float) - high
l (float) - low
c (float)-close
multi (float)- multi for ATR
leng (int)-length for ATR
Returns:
xATRTS - ATR Based TrailingStop Value
pos - pos==1, long position, pos==-1, shot position
signal - 0 no signal, 1 buy, -1 sell
DAMMU Swing Trading PRODammu Scalping Pro – Short Notes
1️⃣ Purpose:
Scalping and swing trading tool for 15-min and 1-min charts.
Designed for trend continuation, pullbacks, and reversals.
Works well with Heikin Ashi candles (optional).
2️⃣ Core Components:
EMAs:
Fast: EMA5-12
Medium: EMA12-36 Ribbon
Long: EMA75/89 (1-min), EMA180/200 (15-min), EMA540/633
Price Action Channel (PAC): EMA-based High, Low, Close channel.
Fractals: Regular & filtered (BW) fractals for swing recognition.
Higher Highs / Lower Highs / Higher Lows / Lower Lows (HH, LH, HL, LL).
Pivot Points: Optional display with labels.
3️⃣ Bar Coloring:
Blue: Close above PAC
Red: Close below PAC
Gray: Close inside PAC
4️⃣ Alerts:
Swing Buy/Sell arrows based on PAC breakout and EMA200 filter.
Optional “Big Arrows” mode for visibility.
Alert messages: "SWING_UP" and "SWING_DN"
5️⃣ Workflow / Usage Tips:
Set chart to 15-min (for trend) + 1-min (for entry).
Optionally enable Heikin Ashi candles.
Trade long only above EMA200, short only below EMA200.
Watch for pullbacks into EMA channels or ribbons.
Confirm trend resumption via PAC breakout & bar color change.
Use fractals and pivot points to draw trendlines and locate support/resistance.
6️⃣ Optional Filters:
Filter PAC signals with 200 EMA.
Filter fractals for “Pristine/Ideal” patterns (BW filter).
7️⃣ Visuals:
EMA ribbons, PAC fill, HH/LL squares, fractal triangles.
Pivot labels & candle numbering for patterns.
8️⃣ Notes:
No extra indicators needed except optionally SweetSpot Gold2 for major S/R levels.
Suitable for scalping pullbacks with trend confirmation.
If you want, I can make an even shorter “one-screen cheat sheet” with colors, alerts, and EMAs, perfect for real-time charT
global credit spread with global yield curveglobal credit spread with global yield curve designed to give short term and longer term asset price reversal
多周期趋势动量面板(Multi-Timeframe Trend Momentum Panel - User Guide)多周期趋势动量面板(Multi-Timeframe Trend Momentum Panel - User Guide)(english explanation follows.)
📖 指标功能详解 (精简版):
🎯 核心功能:
1. 多周期趋势分析 同时监控8个时间周期(1m/5m/15m/1H/4H/D/W/M)
2. 4维度投票系统 MA趋势+RSI动量+MACD+布林带综合判断
3. 全球交易时段 可视化亚洲/伦敦/纽约交易时间
4. 趋势强度评分 0100%量化市场力量
5. 智能警报 强势多空信号自动推送
________________________________________
📚 重要名词解释:
🔵 趋势状态 (MA均线分析):
名词 含义 信号强度
强势多头 快MA远高于慢MA(差值≥0.35%) ⭐⭐⭐⭐⭐ 做多
多头倾向 快MA略高于慢MA(差值<0.35%) ⭐⭐⭐ 谨慎做多
震荡 快慢MA缠绕,无明确方向 ⚠️ 观望
空头倾向 快MA略低于慢MA ⭐⭐⭐ 谨慎做空
强势空头 快MA远低于慢MA ⭐⭐⭐⭐⭐ 做空
简单理解: 快MA就像短跑运动员(反应快),慢MA是长跑运动员(稳定)。短跑远超长跑=强势多头,反之=强势空头。
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🟠 动量状态 (RSI力度分析):
名词 含义 操作建议
动量上攻↗ RSI>60且快速上升 强烈买入信号
动量高位 RSI>60但上升变慢 警惕回调,可减仓
动量中性 RSI在4060之间,平稳 等待方向明确
动量低位 RSI<40但下跌变慢 警惕反弹,可止盈
动量下压↘ RSI<40且快速下降 强烈卖出信号
简单理解: RSI就像汽车速度表。"动量上攻"=油门踩到底加速,"动量高位"=已经很快但不再加速了。
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🟣 辅助信号:
MACD:
• MACD多头 = 柱状图>0 = 买方力量强
• MACD空头 = 柱状图<0 = 卖方力量强
布林带(BB):
• BB超买 = 价格在布林带上轨附近 = 可能回调
• BB超卖 = 价格在布林带下轨附近 = 可能反弹
• BB中轨 = 价格在中间位置 = 平衡状态
________________________________________
💡 快速上手 3步看懂面板:
第1步: 看"综合结论标签" (K线上方)
• 绿色"多头占优" → 可以做多
• 红色"空头占优" → 可以做空
• 橙色"震荡/均衡" → 观望
第2步: 看"票数 多/空" (面板最下方)
• 多头票数远大于空头 (差距>2) → 趋势强
• 票数接近 (差距<1) → 震荡市
第3步: 看"趋势强度" (综合标签中)
• 强度>70% → 强势趋势,可重仓
• 强度5070% → 中等趋势,正常仓位
• 强度<50% → 弱势,轻仓或观望
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🎨 时段背景色含义:
• 紫色背景 = 亚洲时段 (东京交易时间) 波动较小
• 橙色背景 = 伦敦时段 (欧洲交易时间) 波动增大
• 蓝色背景 = 纽约凌晨 美盘准备阶段
• 红色背景 = 纽约关键5分钟 (09:3009:35) ⚠️ 最重要! 市场最活跃,趋势易形成
• 绿色背景 = 纽约上午后段 延续早盘趋势
交易建议: 重点关注红色关键时段,这5分钟往往决定全天方向!
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⚙️ 三大市场推荐设置
🥇 黄金: Hull MA 12/EMA 34, 阈值0.250.35%
₿ 比特币: EMA 21/EMA 55, 阈值0.801.20%
💎 以太坊: TEMA 21/EMA 55, 阈值0.600.80%
参数优化建议
黄金 (XAUUSD)
快速MA: Hull MA 12 (超灵敏捕捉黄金快速波动)
慢速MA: EMA 34 (斐波那契数列)
RSI周期: 9 (加快反应)
强趋势阈值: 0.25%
周期: 5, 15, 60, 240, 1440
比特币 (BTCUSD)
快速MA: EMA 21
慢速MA: EMA 55
RSI周期: 14
强趋势阈值: 0.8% (波动大,阈值需提高)
周期: 15, 60, 240, D, W
外汇 EUR/USD
快速MA: TEMA 10 (快速响应)
慢速MA: T3 30, 因子0.7 (平滑噪音)
RSI周期: 14
强趋势阈值: 0.08% (外汇波动小)
周期: 5, 15, 60, 240, 1440
📖 Indicator Function Details (Concise Version):
🎯 Core Functions:
1. MultiTimeframe Trend Analysis Monitors 8 timeframes simultaneously (1m/5m/15m/1H/4H/D/W/M)
2. 4Dimensional Voting System Comprehensive judgment based on MA trend + RSI momentum + MACD + Bollinger Bands
3. Global Trading Sessions Visualizes Asia/London/New York trading hours
4. Trend Strength Score Quantifies market strength from 0100%
5. Smart Alerts Automatically pushes strong bullish/bearish signals
📚 Key Term Explanations:
🔵 Trend Status (MA Analysis):
| Term | Meaning | Signal Strength |
| | | |
| Strong Bull | Fast MA significantly > Slow MA (Diff ≥0.35%) | ⭐⭐⭐⭐⭐ Long |
| Bullish Bias | Fast MA slightly > Slow MA (Diff <0.35%) | ⭐⭐⭐ Caution Long |
| Ranging | MAs intertwined, no clear direction | ⚠️ Wait & See |
| Bearish Bias | Fast MA slightly < Slow MA | ⭐⭐⭐ Caution Short |
| Strong Bear | Fast MA significantly < Slow MA | ⭐⭐⭐⭐⭐ Short |
Simple Understanding: Fast MA = sprinter (fast reaction), Slow MA = longdistance runner (stable). Sprinter far ahead = Strong Bull, opposite = Strong Bear.
🟠 Momentum Status (RSI Analysis):
| Term | Meaning | Trading Suggestion |
| | | |
| Momentum Up ↗ | RSI >60 & rising rapidly | Strong Buy Signal |
| Momentum High | RSI >60 but rising slower | Watch for pullback, consider reducing position |
| Momentum Neutral | RSI between 4060, stable | Wait for clearer direction |
| Momentum Low | RSI <40 but falling slower | Watch for rebound, consider taking profit |
| Momentum Down ↘ | RSI <40 & falling rapidly | Strong Sell Signal |
Simple Understanding: RSI = car speedometer. "Momentum Up" = full throttle acceleration, "Momentum High" = already fast but not accelerating further.
🟣 Auxiliary Signals:
MACD:
MACD Bullish = Histogram >0 = Strong buyer power
MACD Bearish = Histogram <0 = Strong seller power
Bollinger Bands (BB):
BB Overbought = Price near upper band = Possible pullback
BB Oversold = Price near lower band = Possible rebound
BB Middle = Price near middle band = Balanced state
💡 Quick Start 3 Steps to Understand the Panel:
Step 1: Check "Composite Conclusion Label" (Above the chart)
Green "Bulls Favored" → Consider Long
Red "Bears Favored" → Consider Short
Orange "Ranging/Balanced" → Wait & See
Step 2: Check "Votes Bull/Bear" (Bottom of the panel)
Bull votes significantly > Bear votes (Difference >2) → Strong Trend
Votes close (Difference <1) → Ranging Market
Step 3: Check "Trend Strength" (In the composite label)
Strength >70% → Strong Trend, consider heavier position
Strength 5070% → Moderate Trend, normal position size
Strength <50% → Weak Trend, light position or wait & see
🎨 Trading Session Background Color Meanings:
Purple = Asian Session (Tokyo hours) Lower volatility
Orange = London Session (European hours) Increased volatility
Blue = NY Early Morning US session preparation phase
Red = NY Critical 5 Minutes (09:3009:35) ⚠️ Most Important! Market most active, trends easily form
Green = NY Late Morning Continuation of early session trend
Trading Tip: Focus on the red critical period; these 5 minutes often determine the day's direction!
⚙️ Recommended Settings for Three Major Markets
🥇 Gold (XAUUSD):
Fast MA: Hull MA 12 (Highly sensitive for gold's fast moves)
Slow MA: EMA 34 (Fibonacci number)
RSI Period: 9 (Faster reaction)
Strong Trend Threshold: 0.25%
Timeframes: 5, 15, 60, 240, 1440
₿ Bitcoin (BTCUSD):
Fast MA: EMA 21
Slow MA: EMA 55
RSI Period: 14
Strong Trend Threshold: 0.8% (High volatility, requires higher threshold)
Timeframes: 15, 60, 240, D, W
💎 Ethereum (ETHUSD):
Fast MA: TEMA 21
Slow MA: EMA 55
RSI Period: 14
Strong Trend Threshold: 0.600.80%
Timeframes: 15, 60, 240, D, W
💱 Forex EUR/USD:
Fast MA: TEMA 10 (Fast response)
Slow MA: T3 30, Factor 0.7 (Smooths noise)
RSI Period: 14
Strong Trend Threshold: 0.08% (Forex has low volatility)
Timeframes: 5, 15, 60, 240, 1440
Global Risk-On / Risk-Off: Global 2s10s + Credit SpreadGlobal Risk-On / Risk-Off: Global 2s10s + Credit Spread
Daily Close Cross Above SMA 20 (Low)Daily closing price crosses above SMA 20 low, signals a bullish trend.
Currency Valuation V2This indicator values currencies against DXY. Using the daily chart annd the differences in the price of the DXY in certain bars.
byquan GP - SRSI Channel🔍 What Is It?
The GP – SRSI Channel is a momentum-based oscillator that measures the relative strength of price movements across multiple timeframes using the Stochastic RSI (SRSI) method.
Instead of using a single RSI line, this indicator analyzes four price inputs and four timeframes to create a dynamic channel that reflects the true market momentum — helping traders identify overbought and oversold zones with higher accuracy.
⚙️ How It Works
The indicator combines multiple layers of analysis to produce a smooth and reliable momentum channel.
1. Multi-Source RSI Calculation
It computes RSI and Stochastic RSI values for four different price sources:
Open
High
Low
Close
Each source generates its own SRSI value:
dsopen, dshigh, dslow, and dsclose
From these, it extracts:
starraymin: the lowest (most oversold) SRSI value
starraymax: the highest (most overbought) SRSI value
This forms a momentum range based on all price inputs.
2. Multi-Timeframe (MTF) Integration
To strengthen signal reliability, it repeats this SRSI analysis across four higher timeframes (configurable by user):
Parameter Default Value Meaning
Time 1 180 minutes 3-hour chart
Time 2 360 minutes 6-hour chart
Time 3 720 minutes 12-hour chart
Time 4 1D Daily chart
Each timeframe produces its own set of minimum, maximum, and close SRSI values.
These are then combined and normalized to a 0–100 scale.
3. Normalization and Channel Plot
The combined results create three main lines:
Min Line (Green–Red gradient) → represents oversold strength
Max Line (Green–Red gradient) → represents overbought strength
Close Line (White) → represents average SRSI value
The area between the Min and Max lines is filled with a color gradient to form the SRSI Channel, visually showing momentum strength and range.
4. Signal & Alerts
Two alert levels are defined:
Alert Min Level → Default = 5 (oversold)
Alert Max Level → Default = 95 (overbought)
When:
oranmin ≤ Alert Min Level → Market is in an oversold state (potential reversal up).
oranmax ≥ Alert Max Level → Market is in an overbought state (potential reversal down).
When either of these thresholds is crossed, the indicator triggers:
A white square marker on the chart.
A custom alert with the message:
“SRSI Channel reached alert threshold (oranmax ≥ MaxLevel or oranmin ≤ MinLevel)”
🧭 How to Use It
🪄 Step 1 — Add to Chart
Copy the code into a new Pine Script in TradingView.
Click Add to chart.
You’ll see three lines and a colored channel between them.
⚙️ Step 2 — Adjust Inputs
Core SRSI Settings
Setting Description
K, D Smoothing factors for Stochastic RSI.
RSI Length Number of bars for RSI calculation.
S Length Period used for %K in Stochastic RSI.
Alert Min/Max Level Defines oversold/overbought zones.
Multi-Timeframe Settings
Change Time 1 to Time 4 to suit your trading style:
Shorter timeframes → faster but more noise.
Longer timeframes → smoother, more reliable momentum.
📈 Step 3 — Interpret the Chart
Indicator Element Meaning
🟩 Lower Boundary (Min) Lowest SRSI reading → momentum weakness / possible rebound area
🟥 Upper Boundary (Max) Highest SRSI reading → strong momentum / possible exhaustion
⚪ Middle Line (Close) Average of all SRSI readings → overall momentum strength
🌈 Channel Fill Visualizes balance between overbought and oversold levels
When the channel widens → market volatility and strength increase.
When it narrows → consolidation or low-momentum phase.
🔔 Step 4 — Alerts
You can create alerts using:
Condition: SRSI Extreme
Message: SRSI Channel reached alert threshold
Use this to receive notifications when the market hits extreme momentum levels (great for reversal traders).
💡 Trading Tips
✅ Combine with Supertrend, MACD, or Moving Averages for confirmation.
✅ Look for SRSI extremes aligning with price support/resistance for stronger reversal entries.
✅ Use different timeframe combinations (e.g., 1H–4H–12H–1D) depending on your trading style.
✅ Treat it as a momentum filter — not a direct buy/sell signal tool.
⚖️ Summary
The GP – SRSI Channel is a sophisticated multi-timeframe momentum indicator that helps traders visualize market strength and identify overbought or oversold conditions with exceptional clarity.
Features:
4 price sources × 4 timeframes = deep momentum insight
Dynamic, color-coded SRSI channel
Built-in alert system for extreme conditions
Clean and intuitive visual design
Best suited for:
Swing and position traders
Traders who use RSI/Stoch indicators
Those seeking to confirm entries with multi-timeframe momentum data
🎯 Understand the market’s true momentum — before it moves.
Position Size ToolPosition Size Tool
What it does:
Shows a small on-chart table that converts per-ticker dollar amounts into share counts (shares = amount ÷ current price) for up to 4 configurable tickers.
Inputs (indicator settings)
Ticker 1–4 — select the symbol (TradingView will show the exchange-qualified form like BATS:TQQQ in the settings).
Ticker N $ Amount — dollar amount to convert into shares for that ticker.
Show Ticker N — toggle each row on/off.
Table Text Color — color of the table text.
Table Position — screen location (Top/ Middle/ Bottom × Left/Center/Right).
Font Size — Small / Medium / Large.
Show Empty Top Row — optional spacer row.
What the table displays
Left column: the ticker symbol only (the script strips the exchange prefix for display, so BATS:TQQQ appears as TQQQ in the table).
Right column: the calculated share count, formatted to two decimal places (or "—" if price is not available or zero).
Table updates on the chart’s timeframe using live/last bar prices.
How to use
Add the indicator to a chart.
Open the indicator’s settings panel.
In Ticker 1–4, type/select the symbols you want (you may see the exchange prefix there; that’s TradingView’s UI).
Enter the dollar amounts for each ticker.
Use Show Ticker N to hide/show rows.
Adjust text color, font size, and table position as desired.
Notes
The settings field will always show the exchange-qualified symbol (TradingView behavior); the script strips the exchange only for the on-chart display.
If the selected symbol has no price data on the chart/timeframe, the table shows "—".
Shares are computed as amt ÷ current close from the requested symbol and timeframe.
Example of how to use this tool:
Monitor an index and execute trades on leveraged derivative products. This tool will determine the quantity of shares that can be purchased with a pre-determined dollar amount. Ex: Monitor SPX for entry/exit signals and execute trades on UPRO/SPXU/SPXL/SPXS.
Input a ticker and a dollar amount for position size, shares that can be purchased will be calculated based on the current asset price.
This tool can be helpful for those that use multiple platforms simultaneously to monitor and execute trades.
US Construction Spending & Manufacturing Employment YoY % ChangeUsage Notes: Timeframe: Use a monthly chart, as TTLCONS and MANEMP are monthly data. Other timeframes result in interpolation.
Data Availability: As of October 2025, TTLCONS is available until July 2025 and MANEMP until August 2025 (automatically via TradingView).
The Unsung Heroes: Why C&M Are the True Indicators
Imagine the economy is a highly sensitive vehicle. Quarterly reported GDP is like a quarterly glance at the odometer—it's slow, often delayed, and clearly refers to the past. Anyone who wants to predict future developments needs something much faster.
This is where construction and manufacturing come into play. These two sectors are the machine builders of the economy and provide us with real-time feedback. They form the backbone of economic forecasting for several important reasons:
1. Monetary policy indicators: Both sectors are highly sensitive to monetary policy developments, such as interest rate changes. If developers are unable to finance large residential or commercial projects and manufacturers postpone capital-intensive factory expansions, for example, declines in construction demand would quickly affect other sectors.
2. The backbone of the secondary sector: These industries constitute the secondary sector of the economy, meaning they are concerned with the actual transformation and production of goods, not just the extraction of raw materials or the provision of intangible services. One could argue that while they only account for about 15% of GDP in the US, their impact is massive and cyclical.
3. The timeliness advantage: Forget quarterly lags. Both construction output and manufacturing employment data are released monthly. This timely, frequent data allows analysts to assess economic momentum much more quickly than if they had to wait for delayed GDP reports.
In the US, some analysts have even titled their articles with the bold claim: "Housing construction is the business cycle." Fluctuations in housing construction are frequent and large, and a decline in activity is almost always accompanied by a subsequent decline in GDP.