IFVG - LmncrtFVG/IFVG is constructed depending on whether the third/first candle of InsideBar + Connection is the closest FVG of the same type.
תבניות גרפים
EMA Touch True Engulfing### Overview
This script is a premium technical analysis tool that combines **Multi-EMA Touch Alerts** with a highly strict **"True Engulfing"** price action filter.
Unlike standard engulfing indicators that only look at the candle body, this version requires the current candle to engulf the **entire range (including wicks)** of the previous candle. This ensures you only see the most powerful reversal signals near key dynamic support and resistance.
### Key Features
* **Strict "True Engulfing" Logic**: Signals only appear when the current candle's body completely swallows the previous candle's High and Low.
* **4-Layer EMA Setup**: Tracks 4 customizable EMAs (Default: 10, 20, 40, 80) for trend context.
* **Minimalist Visuals**: Uses the Japanese character **"包"** (meaning "Engulf") for a clean, non-intrusive chart layout.
* **Green Label**: High-probability Bullish Engulfing.
* **Red Label**: High-probability Bearish Engulfing.
* **Combo Alerts**: Built-in alert conditions for EMA touches, True Engulfing patterns, and a "Combo Alert" for when both happen simultaneously.
### How to Trade
1. **Trend Context**: Identify the primary trend using the EMAs.
2. **The Retest**: Wait for the price to pull back to an EMA.
3. **The Confirmation**: Look for the **"包"** label. This indicates that the market has completely rejected the EMA level by overpowering the previous candle's entire range.
SMART MONEY SMT+BOS+ENTRYThis advanced trading indicator combines Smart Money Theory (SMT) and Break of Structure (BOS) analysis with synchronized multi-asset monitoring. The core concept identifies institutional activity by detecting discrepancies between correlated assets, revealing potential accumulation zones and reversal points before they become apparent to retail traders.
Key Features
Smart Money Detection:
Real-time divergence analysis between two selected assets (e.g., BTC/ETH, Gold/Silver, Currency pairs)
Identification of institutional accumulation/distribution patterns
Trend confirmation through structural sweeps and momentum shifts
Structural Analysis:
Break of Structure (BOS) detection with multi-factor confirmation
ATR-based candle size filtering to eliminate false breakouts
Clear structural shift identification with visual confirmation
Risk-Managed Execution:
Dual entry modes: Immediate (on BOS close) or Retest (on pullback to level)
Automated stop-loss placement at last structural extreme
Dynamic take-profit calculation based on user-defined risk/reward ratio
Support for long-only, short-only, or bidirectional trading strategies
Visual Interface
Colored arrows signaling buy/sell opportunities at optimal entry points
Real-time stop-loss and take-profit level visualization
SMT divergence markers above/below price action
Structural level indicators for clear market context
Configuration Options
Asset Pair Selection - Primary and secondary symbols for comparative analysis
Trading Direction - Long, Short, or Both directions
Swing Sensitivity - Adjustable pivot point detection period
Risk/Reward Ratio - Customizable profit targets relative to risk
BOS Confirmation Filter - Minimum candle body size requirement via ATR percentage
Optimal Application
Best performance on correlated assets (crypto pairs, commodities, indices)
Effective across multiple timeframes (M15 for entries, H4/D1 for context)
Combines well with volume profile and order flow analysis
Suitable for both discretionary and systematic trading approaches
Technical Advantages
Dual-asset synchronization for early signal detection
Multi-layer filtering system reducing false positives
Integrated risk management with visual guidance
Customizable sensitivity for different market conditions
Русская версия
Индикатор Smart Money Theory (SMT) + Break of Structure (BOS)
Обзор
Этот продвинутый торговый индикатор объединяет анализ Smart Money Theory (SMT) и Break of Structure (BOS) с синхронизированным мониторингом нескольких активов. Основная концепция выявляет активность институциональных игроков путем обнаружения расхождений между коррелирующими активами, показывая зоны накопления и точки разворота до того, как они становятся очевидными для розничных трейдеров.
Ключевые возможности
Детекция "умных денег":
Анализ дивергенций в реальном времени между двумя выбранными активами
Выявление паттернов накопления/распределения институциональными участниками
Подтверждение тренда через структурные сдвиги и изменения импульса
Структурный анализ:
Обнаружение Break of Structure (BOS) с многофакторным подтверждением
Фильтрация по размеру свечи на основе ATR для устранения ложных пробоев
Четкая идентификация структурных сдвигов с визуальным подтверждением
Управление рисками:
Два режима входа: Немедленный (при закрытии BOS) или Ретест (при откате к уровню)
Автоматическое размещение стоп-лосса на последнем структурном экстремуме
Динамический расчет тейк-профита на основе заданного риск-риворда
Поддержка лонг-стратегий, шорт-стратегий или обоих направлений
Визуальный интерфейс
Цветные стрелки, сигнализирующие о точках входа на покупку/продажу
Визуализация уровней стоп-лосса и тейк-профита в реальном времени
Маркеры SMT-дивергенций над/под ценовым действием
Индикаторы структурных уровней для четкого контекста рынка
Настройки
Выбор пары активов - Основной и вторичный символы для сравнительного анализа
Направление торговли - Лонг, Шорт или Оба направления
Чувствительность свингов - Настраиваемый период детекции точек разворота
Коэффициент риск/вознаграждение - Настраиваемые цели по прибыли относительно риска
Фильтр подтверждения BOS - Минимальный размер тела свечи в процентах от ATR
Оптимальное применение
Наилучшие результаты на коррелирующих активах (криптопары, товары, индексы)
Эффективен на различных таймфреймах (M15 для входов, H4/D1 для контекста)
Хорошо сочетается с анализом Volume Profile и ордерного потока
Подходит как для дискреционного, так и для системного трейдинга
Технические преимущества
Синхронизация двух активов для раннего обнаружения сигналов
Многоуровневая система фильтрации, снижающая ложные срабатывания
Интегрированное управление рисками с визуальным сопровождением
Настраиваемая чувствительность под разные рыночные условия
Pivot Zones Break Close MM200 This strategy is a trend-following and reversal algorithm based on the dynamic identification of institutional price zones (Pivots). The objective is to capture precise movements when price "breaks and closes" above a support or below a resistance level, while filtering signals with a 200-period Simple Moving Average (SMA) to ensure maximum safety.
PRO RSI + MACD AI - INST TOGGLEMac d and rsi cobination with ai signals usefull for all tyme frame and all type of scripts
JD Moon - Intraday Boxကျွန်တော် JD Moon ပါ၊
ဒီ Box Indicator က Intraday Trader တွေအတွက် အချိန်ကုန်သက်သာအောင် တကူးတက ဆွဲစရာမလိုအောင် Price Action သမားတွေအတွက် အသုံးလိုတဲ့အရာမို့ ဖန်တီးထားတာပါ၊ အရမ်း ရိုးရှင်းပြီး အရမ်း အသုံးဝင်ပါတယ်။ တစ်ရက်အတွင်း စျေးနှုန်းအရွေ့ကို စောင့်ကြည့်ဖို့ပါ။ အထူးသဖြင့်ကျွန်တော့်အတွက် ဖန်တီးထားတာဖြစ်ပြီး လိုအပ်သူတွေ ကျွန်တော့်လို Chart တိုင်းမှာ လှိုင်းဆွဲဖို့ ငပျင်းလေးတွေ ယူသုံးနိုင်ပါတယ်။
Prev HL Labels + TF Filter + INTRADAY Alerts OnlyWhat it does
Displays the previous candle’s High and Low prices as two price labels plotted near the previous bar (one above the high, one below the low).
Triggers intraday alerts only when price breaks above the previous high or breaks below the previous low.
Lets you choose which timeframes the script is allowed to run on (labels + alerts), via a timeframe filter.
ICT Professional OB HunterICT Professional OB Hunter
A professional-grade Order Block mapping tool designed for traders following Smart Money Concepts to track institutional order flow and significant market structures.
This tool identifies validated Order Blocks with Break of Structure confirmation, filtering out market noise and focusing only on high-probability levels where institutional participation is evident.
How It Works
The script operates without repainting, using historical swing highs and lows as reference points rather than future data. Three core criteria must be satisfied before an Order Block is drawn:
Strong Candle Formation: The candle must have a significant body (no dojis), exceeding the ATR threshold—indicating genuine institutional participation rather than indecision.
Displacement: Following the Order Block candle, price must move with momentum exceeding 1.5x the ATR. This captures true "market shifting" moves while ignoring slow, low-volume price action.
Break of Structure: Price must definitively break the previous swing high or low to confirm momentum before the Order Block is validated and drawn.
What You See on the Chart
Thick Blue Lines: Bullish Order Blocks representing demand zones where price historically finds support and reacts upward.
Thick Orange Lines: Bearish Order Blocks representing supply zones that act as resistance.
Yellow Boxes: OTE (Optimal Trade Entry) zones between the 50% and 61.8% retracement levels of the Order Block—ICT's preferred fib confluence area for precision entries.
Dashed Lines: Breaker Blocks indicating former Order Blocks that have been violated by price and now act as reverse levels or "mitigated" areas.
Key Differences from Standard Tools
Most available Order Block indicators mark every red or green candle indiscriminately, creating excessive noise and poor trading opportunities. This code implements a displacement filter to capture only structures formed after significant, volume-backed institutional moves. It contains no future reference or repainting logic—all decisions finalize strictly on bar close based on confirmed historical data.
Settings
Displacement Lookback (2-5 bars): Determines how many subsequent bars to analyze for momentum confirmation after the initial Order Block candle. Three bars provides the optimal balance between responsiveness and confirmation.
ATR Multiplier (0.5+): Sets the sensitivity for displacement detection. A value of 1.5 works well for Gold (XAU/USD). Lower values generate more Order Blocks but decrease quality and reliability.
Mitigation Zones: Toggle the display of OTE (Optimal Trade Entry) boxes on or off.
Usage Recommendations
This indicator is not a standalone buy/sell signal generator—it marks zones where institutional capital is likely positioned.
Recommended approach:
Apply to 15-minute or 1-hour charts, particularly during the New York session (14:30-17:00 EST) when institutional volume peaks.
Wait for price to reach the confluence of the Blue Line and Yellow OTE box.
The setup invalidates if price closes below the OTE zone boundary.
When Orange lines transition to dashed (Breaker Block), recognize that former support has become resistance; adjust position management accordingly.
Risk Warning
This is a statistical model based on historical price behavior, not a "holy grail" solution. Market conditions change, particularly during high-volatility macroeconomic news events (FOMC, CPI, NFP), where Order Blocks may fail. Always employ stop-loss protection and integrate this tool as one component of a comprehensive risk management strategy rather than relying on it exclusively.
Written in Pine Script v6 utilizing array structures for efficient real-time line updates and optimized for performance even on older hardware configurations.
Developer Note: Historical backtest analysis indicates that BOS-validated Order Blocks, particularly in Gold (XAU/USD) and major indices, demonstrate improved win rates when combined with disciplined entry criteria and proper risk management. However, the market retains ultimate authority—respect price action above all indicators.
Objective Daily Bias Seasonality
The Universal Daily Seasonality indicator is a statistical tool designed to analyze and visualize price performance patterns based on the day of the week. It helps traders identify historical tendencies (seasonal bias) for any given asset by processing daily data independently of the current chart timeframe.
Renko + Heikin Ashi Strategy v1🔷 Renko + Heikin Ashi Strategy (Sonu179208)
Renko + Heikin Ashi Strategy is a powerful trend-following and reversal-based TradingView strategy that combines custom Renko brick logic with smoothed Heikin Ashi confirmation to filter noise and capture high-probability trades.
This strategy is designed for intraday, positional, and options trading, especially useful for NIFTY, SENSEX, BankNifty, and option premiums.
🚀 Core Concepts
🧱 Renko Logic (Non-Time Based)
Custom-built Renko engine (no built-in Renko charts required)
Brick size can be calculated using:
ATR
Percentage
Fixed points
Traditional divider
Detects trend continuation and 2-brick reversals
Multiple bricks per candle supported with safety limits
🔥 Heikin Ashi Confirmation
Smoothed Heikin Ashi candles using EMA
Optional confirmation logic:
Renko + HA must agree
OR HA reversal within Renko trend
Helps avoid false Renko reversals in sideways markets
📈 Trade Logic
✅ Buy (Long)
Renko reversal from Bear → Bull
Optional Heikin Ashi bullish confirmation
Trade direction allows Long / Short / Both
❌ Sell (Short)
Renko reversal from Bull → Bear
Optional Heikin Ashi bearish confirmation
🔁 Smart Position Handling
Automatically closes opposite positions before new entries
Separate logic for:
Long-only mode
Short-only mode
🛑 Risk Management
Optional Fixed Stop Loss (points)
Optional Trailing Stop Loss
Works for both Long and Short trades
Designed to be compatible with strategy backtesting
⏱ Backtest Controls
Enable / Disable Date Range Filter
Define custom Start & End dates
Useful for forward testing and historical validation
🔔 Alerts & Webhooks (Automation Ready)
Entry Alerts:
Buy
Sell
Exit Alerts
Fully customizable Webhook messages
Ideal for:
Algo trading
Broker API
TradingView → automation tools
🎨 Visual Features
Renko bricks drawn directly on chart
Optional:
Renko connecting lines
Reversal arrows
Heikin Ashi candles
Color-coded bullish & bearish bricks
On-chart Info Table displaying:
Box size & method
Renko direction
HA direction
Trade mode
Stop loss & trailing status
Active date filter status
⚙️ Highly Customizable Inputs
Renko source: Close / HL2 / HLC3 / OHLC4 / High / Low
Brick size parameters
Heikin Ashi smoothing
Display toggles
Safety limits for performance
⚠️ Disclaimer
This strategy is for educational and research purposes only.
Always forward-test and manage risk properly before using in live trading.
Market conditions vary, and no strategy guarantees profits.
Heikin Ashi + RSI Strategy📊 Heikin Ashi + RSI Strategy (Advanced)
This strategy combines Heikin Ashi trend confirmation with RSI momentum analysis to generate high-probability Long & Short trading signals, supported by advanced risk management, multi-timeframe filters, and visual trade tracking.
Designed for intraday, swing, and positional traders, this system is fully customizable and works across stocks, indices, crypto, and forex.
🔹 Core Logic
✅ BUY (Long) Conditions
A long trade is triggered based on your selected mode:
HA Turns Green → Heikin Ashi candle flips from red to green
RSI Upward → RSI rising compared to previous bars
Both → Heikin Ashi confirmation + RSI momentum (strongest)
❌ SELL (Short) Conditions
A short trade is triggered based on:
HA Turns Red → Heikin Ashi candle flips from green to red
RSI Downward → RSI declining compared to previous bars
Both → Trend + momentum alignment
🔹 Trade Direction Control
Long Only
Short Only
Both (Default)
Perfect for directional markets or index trading.
🔹 Multi-Timeframe Support
Separate timeframes for:
Heikin Ashi
RSI
Leave empty to use the chart timeframe
This allows higher-TF trend + lower-TF entries.
🔹 Risk Management (Highly Flexible)
🛑 Stop Loss Options
Percentage-based
ATR-based
Fixed points
🎯 Take Profit Options
Percentage-based
ATR-based
Fixed points
Risk-Reward based (RR)
🔁 Trailing Stop
Optional percentage-based trailing SL
🔹 Time & Session Filters
Trade only between custom date ranges
Optional session filter (e.g. market hours)
Ideal for avoiding low-liquidity periods.
🔹 Visual Features
Buy / Sell arrows with optional labels
SL / TP / Entry price lines
Position-based background coloring
Clean on-chart execution markers
📋 Smart Info Table (Top-Right)
Displays real-time data:
Heikin Ashi status
RSI direction & value
Active timeframes
Current position (LONG / SHORT / FLAT)
Open P&L
Total trades
Win rate %
🔔 Alerts Included
Long Entry Alert
Short Entry Alert
Any Entry Alert
➡️ Ready for TradingView webhooks & automation
⚠️ Disclaimer
This strategy is for educational and research purposes only.
Always backtest, forward test, and use proper risk management before live trading.
NFO Rolling Straddle with Entry ExitNFO Rolling Entry Exit based on combined premiums, use on Options chart as Underlying chart doesn't allow long history
BTC Arbitrage Detector套利检测器 — 技术原理与 Webhook 实时监控指南
许可证:Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
作者:加密社
适用市场:加密货币(如 BTC/USDT)、外汇(如 EUR/USD)
一、核心目标
本指标旨在实时监测同一交易品种在多个交易所或经纪商之间的价格极差(Price Spread),并通过统计方法识别当前价差是否处于“异常”状态。当价差显著扩大时,可能意味着存在套利机会、流动性断裂或数据源异常,用户可据此采取相应操作。
二、关键技术原理
1. 多源数据聚合
指标通过 request.security() 函数并行请求多个交易所的实时价格与成交量数据。例如,当图表品种为 BTCUSD 且类型为 crypto 时,自动从以下 19 家交易所获取数据:
BITSTAMP, COINBASE, BINANCE, KRAKEN, OKX, BYBIT, KUCOIN, MEXC, BITGET...
对于外汇品种(如 EURUSD),则切换至 OANDA, PEPPERSTONE, IBKR, SAXO 等 13 家外汇经纪商。
注意:若某交易所不支持该品种(如 GEMINI 无 ETH/BTC),系统会自动忽略无效符号(ignore_invalid_symbol = true),确保脚本稳定运行。
2. 价差计算与滑动窗口
价差定义:在每个 K 线周期,取所有有效交易所的最新价格,计算其最大值与最小值之差(即 range())。
历史窗口:默认使用最近 1000 根 K 线的价差序列(可通过输入参数调整),构成动态参考分布。用户也可启用“完整数据集”以使用全部历史数据(需注意资源限制)。
3. 百分位分级机制
对当前价差在其历史分布中的位置进行百分位排名(percentrank),并按以下阈值划分等级:
异常(Unusual):> 98% 分位(默认)
高(High):> 75% 分位
典型(Typical):> 25% 分位
低(Low):≤ 25% 分位
该分级基于非参数统计,无需假设价差服从正态分布,适应性强。
4. 自适应平滑算法(AMA)
为减少噪声干扰,指标提供两种平滑选项:
固定 EMA:对原始价差序列应用指数移动平均(默认周期 9)
自适应移动平均(AMA):将当前价差的百分位排名作为“效率比率”(Efficiency Ratio),动态调整平滑系数。当价差突变(高百分位)时响应更快,平稳期则更平滑。
5. 交互式仪表盘
仪表盘展示每家交易所的:
最新价格 / 成交量
平均价格 / 成交量(基于用户设定的平均周期,默认 20)
可选显示与主图资产的绝对差值(如 Binance 价格比主图高 $ 120)
支持按任意列升序/降序排序,快速定位最高/最低报价源
三、如何利用 Webhook 实现异常价差实时告警
TradingView 的 Alert + Webhook 功能可将指标信号推送至外部服务(如 Telegram、Discord、自建服务器),实现 7×24 小时监控。
步骤 1:修改脚本,添加 Alert 条件
原脚本为纯指标(indicator),不支持 alertcondition()。需在脚本末尾添加以下代码:
// 在脚本最后添加(calc_bars_count 行之后)
var float spreadPercentRank = na
spreadPercentRank := spreads.percentrank(spreads.size() - 1)
// 定义异常价差条件(例如 >98% 分位)
unusualCondition = spreadPercentRank > unusualPercentilInput
// 创建告警条件
alertcondition(unusualCondition, title="异常价差触发", message="【{{ticker}}】出现异常跨交易所价差!当前百分位:{{plot0}}%,价差:{{plot1}}")
注意:{{plot0}} 和 {{plot1}} 会自动替换为第一个和第二个 plot() 的当前值(即 spreadPercentRank 和 currentSpread)。
步骤 2:在 TradingView 创建告警
打开图表,加载修改后的指标
点击指标名称 → “添加告警”(Add Alert)
触发条件选择 “异常价差触发”
在“操作”中选择 Webhook URL
填入你的 Webhook 地址(例如:https://your-server.com/arbitrage-alert)
勾选 “仅当条件首次为真时触发”(避免重复通知)
保存
Arbitrage Detector — Technical Principles and Webhook Real-Time Monitoring Guide
License: Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
Author: Crypto Community
Applicable Markets: Cryptocurrencies (e.g., BTC/USDT), Forex (e.g., EUR/USD)
1. Core Objective
This indicator is designed to monitor the price spread—the difference between the highest and lowest quoted prices—of the same trading instrument across multiple exchanges or brokers in real time. Using statistical methods, it evaluates whether the current spread falls into an "anomalous" regime. A significantly widened spread may signal potential arbitrage opportunities, liquidity fragmentation, or data feed anomalies, enabling users to take timely action.
2. Key Technical Principles
2.1 Multi-Source Data Aggregation
The script uses Pine Script’s request.security() function to fetch real-time price and volume data from multiple venues simultaneously. For example:
When the chart symbol is BTCUSD and its type is crypto, the script automatically pulls data from 19 major cryptocurrency exchanges:
BITSTAMP, COINBASE, BINANCE, KRAKEN, OKX, BYBIT, KUCOIN, MEXC, BITGET, GEMINI, CRYPTOCOM, WHITEBIT, BTSE, HTX, GATE, etc.
For forex pairs like EURUSD, it switches to 13 leading brokers:
OANDA, PEPPERSTONE, IBKR, SAXO, TICKMILL, FXCM, FOREX.COM, CAPITAL.COM, etc.
Note: If a venue does not support the symbol (e.g., GEMINI lacks ETH/BTC), the script safely skips it using ignore_invalid_symbol = true, ensuring robust execution.
2.2 Spread Calculation and Sliding Window
Spread Definition: At each confirmed bar, the script collects all valid latest prices and computes their range (max – min).
Historical Reference Window: By default, it maintains a rolling window of the last 1,000 spread values to form a dynamic empirical distribution. Users can adjust this length or enable “Full Dataset” mode to use all available historical data (subject to TradingView’s runtime limits).
2.3 Percentile-Based Classification
The current spread is ranked against its historical distribution using percentrank(). It is then classified into one of four tiers based on user-defined thresholds:
Unusual: >98th percentile (default)
High: >75th percentile
Typical: >25th percentile
Low: ≤25th percentile
This non-parametric approach makes no assumptions about the underlying distribution of spreads, offering strong adaptability across volatile and stable market regimes.
2.4 Adaptive Smoothing Algorithm (AMA)
To reduce noise while preserving responsiveness, two smoothing options are provided:
Fixed EMA: Applies a standard exponential moving average (default period: 9) to the raw spread series.
Adaptive Moving Average (AMA): Uses the current spread’s percentile rank as an “efficiency ratio” to dynamically adjust the smoothing factor. During sharp divergences (high percentile), the AMA reacts quickly; during calm periods, it becomes smoother.
2.5 Interactive Dashboard
The on-chart dashboard displays, for each venue:
Latest price and volume
Average price and volume (over a user-defined lookback period, default: 20 bars)
Optional absolute delta vs. the chart’s primary symbol (e.g., “Binance price is $ 120 higher than chart”)
Sortable columns (ascending/descending) by price or volume to instantly identify outliers
3. Setting Up Webhook Alerts for Real-Time Anomaly Notifications
TradingView’s Alert + Webhook system allows you to push signals to external services (e.g., Telegram, Discord, or a custom server) for 24/7 monitoring.
Step 1: Modify the Script to Add Alert Conditions
Since the original script is declared as an indicator(), it cannot trigger alerts by default. Append the following code at the end of the script (after the calc_bars_count line):
pinescript
编辑
// Add at the very end of the script
var float spreadPercentRank = na
spreadPercentRank := spreads.percentrank(spreads.size() - 1)
// Define alert condition: spread exceeds "Unusual" threshold
bool unusualCondition = spreadPercentRank > unusualPercentilInput
// Create alert condition with dynamic message
alertcondition(unusualCondition, title="Unusual Spread Detected",
message="【{{ticker}}】Unusual cross-exchange spread detected! Percentile: {{plot0}}%, Spread: {{plot1}}")
Note: {{plot0}} and {{plot1}} will be replaced at runtime with the values of the first and second plot() calls in the script—corresponding to spreadPercentRank and currentSpread, respectively.
Step 2: Create an Alert in TradingView
Apply the modified indicator to your chart.
Click the indicator name in the legend → “Add Alert”.
Under Condition, select “Unusual Spread Detected”.
In the Actions section, choose “Webhook URL”.
Enter your webhook endpoint (e.g., your-server.com).
Check “Once Per Bar” or “Once Per Condition” to avoid repeated notifications.
Save the alert.
SIDDAMRAJU2Open the indicator Settings (Click the Gear icon).
Look for the "Target Line Settings" group.
You can now pick any Color you want, change the Style to Solid/Dotted/Dashed, and make the line Thicker or Thinner.
Would you like me to...
Add "Risk to Reward" (RR) Ratio to the table? Since we know the Stop Loss distance and the Target distance, I can calculate the exact Ratio (e.g., "1:2.5") and display it in the dashboard so you know if the trade is worth taking.
Directional Movement Index-25adx with horizontal lines
low line 15 for low volume
mid line 25
high line 40 for high volume and maybe reverse
bitcoin Multi-Timeframe Trend Analysis Toolbitcoin Multi-Timeframe Trend Analysis Tool: A Comprehensive Guide for Market Cycle Identification
Introduction
The Multi-Timeframe Trend Analysis Tool is a sophisticated technical indicator designed to help traders identify critical market phases across different time horizons. This tool synthesizes multiple established technical analysis concepts into a unified framework, specifically optimized for high-volatility markets such as cryptocurrencies and alternative coins (altcoins). By integrating trend-following, momentum, and mean-reversion principles, it provides visual cues for strategic entry and exit points throughout market cycles.
Core Philosophy and Integration Rationale
The indicator's design philosophy centers on the principle that different market phases require different analytical approaches. Rather than relying on a single indicator, which often produces false signals during complex market conditions, this tool combines multiple technical components that complement each other's strengths and compensate for individual weaknesses.
The integration follows a logical hierarchy:
Trend Identification through multiple EMA periods establishes the market's primary direction
Momentum Confirmation via multiple MACD configurations validates trend strength and potential reversals
Multi-timeframe Alignment ensures signals are significant across both short-term and long-term perspectives
This layered approach reduces the likelihood of whipsaws and increases the statistical significance of generated signals.
Component Synergy and Operational Mechanics
1. EMA System: The Trend Foundation
The tool employs six Exponential Moving Averages organized into two groups:
Long-term EMA Group (200, 300, 700 periods):
The 200-period EMA serves as the primary trend baseline
The 300-period EMA provides confirmation of the longer-term direction
The 700-period EMA represents the "macro trend" and helps identify major cycle shifts
Medium-term EMA Group (18, 36, 63 periods):
These shorter EMAs capture intermediate trend dynamics
The relationship between these EMAs helps identify acceleration or deceleration in trend momentum
The EMA system works by comparing relationships between different period lengths. For instance, when shorter EMAs are positioned below longer EMAs, it confirms a bearish trend structure, while the opposite configuration suggests bullish momentum.
2. Multi-Period MACD System: Momentum and Divergence Detection
The tool implements three separate MACD configurations, each serving a distinct purpose:
Bottom MACD (168/364/6 periods):
Designed to capture long-term momentum shifts at potential market bottoms
The extended periods (168 and 364) filter out short-term noise while highlighting significant trend changes
Particularly effective at identifying oversold conditions during prolonged downtrends
Top MACD (108/234/9 periods):
Optimized for detecting momentum deterioration at potential market tops
The period selection is based on historical analysis of bull market cycles
Helps identify when bullish momentum is weakening before price action clearly reverses
Local Top MACD (9/36/9 periods):
Functions as an early warning system for short-term corrections
Particularly useful for swing traders and risk management
Can help identify profit-taking opportunities during ongoing trends
The three MACDs operate independently but collectively provide a comprehensive view of momentum across different time horizons. When multiple MACDs simultaneously show confirming signals, the reliability of the indication increases significantly.
3. Signal Generation Logic: Conditional Framework
Signals are generated only when multiple conditions align across different components:
Accumulation Zone Conditions:
Requires both trend alignment (200 EMA below 300 EMA) AND either:
Price trading at a significant discount to the 200 EMA (suggesting oversold conditions), OR
The 200 EMA itself declining sharply (confirming bearish momentum exhaustion)
This dual requirement prevents false accumulation signals during healthy downtrends
Strong Buy Zone Conditions:
Includes all accumulation zone requirements PLUS:
Sharp decline in the 36-period EMA (suggesting panic or capitulation)
Accelerated decline in the 200 EMA (confirming bearish exhaustion)
This represents a higher-conviction signal with multiple confirming factors
Potential Bull Market Top Conditions:
Requires the 700 EMA to be rising sharply (confirming extended bullish trend) AND
Top MACD showing bearish divergence (momentum weakening) AND
Short-term EMA alignment still bullish (indicating the top is forming amid strength)
This combination helps distinguish between minor corrections and major trend reversals
Local Top Warning Conditions:
Triggered when the 700 EMA shows accelerated gains (potential euphoria phase) AND
The Local Top MACD shows bearish momentum divergence
Serves as a risk management tool rather than a direct reversal signal
Practical Application and Usage Guidelines
For Long-Term Investors:
Monitor for "Accumulation Zone" signals during market downturns
Consider initiating or adding to positions during "Strong Buy Zone" signals
Use these signals for dollar-cost averaging strategies rather than timing exact bottoms
Hold through intermediate fluctuations unless "Potential Bull Market Top" signals appear
For Trend Traders:
Use EMA alignments to confirm trend direction before entering positions
Employ "Local Top Warnings" to secure profits on portions of positions
Watch for alignment between medium-term EMA direction and MACD signals for entry timing
Consider "Potential Bull Market Top" signals as reasons to reduce exposure or implement hedging strategies
For Risk Managers:
Use "Local Top Warnings" to tighten stop-losses or reduce position sizes
Monitor the relationship between price and the 200 EMA for overall market health assessment
Track multiple timeframes to distinguish between normal volatility and potential trend changes
Originality and Distinctive Features
This tool represents a novel synthesis of existing technical concepts rather than a completely new indicator. Its originality stems from:
Purpose-Specific MACD Configurations: Unlike standard MACD implementations, each of the three MACDs is optimized for a specific market condition, with period lengths derived from empirical analysis of market cycles.
Multi-Layered Confirmation Framework: Signals require alignment across trend, momentum, and rate-of-change dimensions, reducing false positives common in single-indicator systems.
Progressive Signal Hierarchy: The tool distinguishes between initial warning signals ("Local Top Warnings") and higher-conviction reversal signals ("Potential Bull Market Tops"), allowing for graduated responses.
Combination of Absolute and Relative Conditions: The logic incorporates both absolute price relationships (price vs. EMA levels) and rate-of-change metrics (EMA acceleration/deceleration), capturing both state and momentum information.
Limitations and Considerations
Lagging Nature: Like all trend-following indicators, this tool reacts to established conditions rather than predicting future movements. Early trend phases may not generate signals.
Parameter Sensitivity: The default parameters are optimized for daily cryptocurrency charts. Performance may vary across different asset classes or timeframes.
Complementary Analysis Required: This tool should be used alongside fundamental analysis, volume confirmation, and market structure considerations.
No Guarantee of Performance: Past success in identifying market phases does not ensure future accuracy. All trading involves risk, and no indicator provides certainty.
Conclusion
The Multi-Timeframe Trend Analysis Tool provides a structured approach to identifying significant market phases by integrating trend, momentum, and mean-reversion concepts across multiple time horizons. Its value lies not in predicting exact turning points but in identifying zones of increasing probability for trend changes, allowing traders to adjust their strategies accordingly. When used as part of a comprehensive trading plan with proper risk management, it can help traders navigate complex market environments with greater clarity and discipline.
The tool is particularly suited to the extended trends and pronounced cycles characteristic of cryptocurrency markets, though its principles apply across various financial instruments. As with all technical tools, its effectiveness increases with user understanding of both its mechanisms and its limitations.
Chinese Silver Price_SRC (USD/oz)This indicator converts the Chinese silver price quoted in CNY per kilogram (e.g. SHFE silver) into USD per troy ounce and overlays it directly on the XAGUSD (global silver spot) chart.
The conversion uses the real-time USD/CNY exchange rate and the standard troy ounce conversion factor.
USD/oz = (CNY/kg ÷ USD/CNY) ÷ 32.1507
Bitcoin Macro Trend IndicatorBitcoin Macro Trend Indicator: A Multi-Timeframe Confirmation System for Strategic Positioning
Introduction
The Bitcoin Macro Trend Indicator is a comprehensive technical analysis tool designed for cryptocurrency traders and investors seeking to navigate Bitcoin's volatile cycles. It integrates multiple exponential moving averages (EMAs) and MACD variations into a unified system that identifies long-term accumulation zones, bull market tops, and strategic re-entry points. This document outlines the logical foundation of this integration, explains the synergistic operation of its components, and provides practical guidance for its application.
Rationale for Multi-Indicator Integration
Bitcoin's market behavior exhibits distinct cyclical patterns characterized by extended accumulation periods, parabolic advances, and sharp corrections. Single indicators often generate false signals during volatile conditions. This system employs a layered confirmation approach where:
Ultra-long-term EMAs establish the primary trend context
Medium-term EMA crossovers identify trend transitions
Multiple MACD configurations detect momentum shifts across different time horizons
This multi-timeframe methodology reduces noise and increases signal reliability by requiring convergence across independent but complementary technical elements.
Component Synergy and Operational Mechanism
1. EMA Framework: The Trend Foundation
700-period EMA: Serves as the primary trend baseline. Prices below this line suggest long-term undervaluation (accumulation territory), while sustained positions above indicate established bull markets.
18/63-period EMA Pair: Functions as the core trend transition system. The golden cross (18 above 63) confirms bullish momentum, while the death cross signals potential trend exhaustion.
12/52-period EMA Pair: Specialized for identifying renewed momentum after corrections within ongoing trends, reducing premature re-entry during false recoveries.
12-period EMA (Auxiliary): Provides early warning of short-term trend deterioration that may precede larger corrections.
2. MACD Ensemble: Momentum Verification
Bottom MACD (168/364/6): With exceptionally slow parameters, this configuration filters out short-term noise to identify genuine long-term momentum shifts characteristic of market bottoms.
Top MACD (63/133/1): Optimized for detecting momentum divergence at potential market tops, where traditional MACD settings often lag.
Local Top Warning MACD (30/65/4): Balanced to capture intermediate-term momentum deterioration that frequently precedes significant pullbacks.
Early Bull MACD (9/19/6): Sensitive to initial momentum surges following accumulation periods, providing early confirmation of trend initiation.
3. Signal Hierarchy and Progressive Confirmation
The indicator employs a cascading confirmation logic:
Stage 1 (Accumulation): Requires both long-term MACD improvement AND price position below the 700-period EMA. Strong accumulation signals add Early Bull MACD confirmation.
Stage 2 (Warning): Local top warnings activate only when multiple conditions align: medium-term trend remains bullish, ultra-long-term trend confirms strength, AND specialized MACDs show momentum deterioration.
Stage 3 (Re-entry): Requires both EMA crossover confirmation AND momentum recovery in the warning MACD, reducing false continuation signals.
Stage 4 (Top Confirmation): The most stringent criteria, demanding convergence across long-term, medium-term, and momentum indicators before signaling major trend reversal.
Practical Application and Interpretation
Signal Classification System
Accumulation Zones (Green): Areas where long-term indicators suggest undervaluation. These represent strategic buying opportunities for patient investors.
Strong Accumulation Signals (Dark Green): Enhanced accumulation zones with additional momentum confirmation, suggesting higher-probability entry points.
Local Top Warnings (Orange/Red): Progressive warnings of increasing risk, with red zones indicating conditions historically associated with more severe corrections.
Re-entry Opportunities (Blue): Post-correction zones where momentum recovery aligns with trend resumption signals.
Bull Market Termination (Purple): Signals suggesting completion of major advance cycles, prompting defensive positioning.
Top Confirmation (Dark Red): High-confidence reversal signals with multi-timeframe confirmation.
Usage Guidelines
Timeframe Recommendation: Designed primarily for daily and weekly charts where macroeconomic trends are most evident.
Position Sizing: Accumulation signals support gradual position building, while warning signals suggest reducing exposure rather than immediate liquidation.
Corroboration: Although self-contained, the indicator performs best when combined with volume analysis and fundamental considerations.
Historical Validation: Users should review signal performance across multiple market cycles to understand characteristic behaviors.
Limitations and Considerations
No technical indicator predicts market movements with absolute certainty. This tool provides probabilistic assessments based on historical patterns.
Extraordinary market events or fundamental shifts may override technical signals.
The indicator's parameters, while optimized for Bitcoin's historical behavior, may require adjustment for unprecedented market conditions.
Signals should be interpreted in context of overall market structure and trader/investor time horizon.
Originality and Differentiation
This system represents a novel synthesis of established technical concepts through:
Parameter Optimization: Specific EMA and MACD periods calibrated to Bitcoin's characteristic volatility and cycle duration.
Conditional Layering: Unlike single-criterion systems, signals require convergence across independent technical dimensions.
Progressive Warning System: Multi-stage alerts that distinguish between routine corrections and potential trend reversals.
Macro-Micro Integration: Simultaneous analysis of ultra-long-term trends and short-term momentum shifts.
Empirical Foundation
The indicator's design incorporates observations from Bitcoin's market behavior since 2010, particularly:
The tendency for major bottoms to form during extended periods below long-term moving averages
Characteristic momentum patterns preceding significant tops
The predictive value of specific EMA relationships during different market phases
Historical performance of multi-timeframe confirmation versus single indicators
Conclusion
The Bitcoin Macro Trend Indicator provides a structured framework for identifying high-probability turning points in Bitcoin's market cycles. By integrating multiple technical perspectives into a confirmation hierarchy, it reduces reaction to market noise while maintaining sensitivity to genuine trend changes. Users should employ this tool as part of a comprehensive trading plan that includes risk management protocols and consideration of external market factors. The system's greatest utility emerges when understood not as a predictive oracle but as a systematic method for identifying favorable risk-reward scenarios based on multi-timeframe technical convergence.
Professional Clean BTC ChartInstitutional Price Structure is a clean, price-focused charting tool designed to provide traders with a clear and distraction-free view of market structure, trend context, and key reference levels.
The indicator replaces default candles with neutral grayscale price bars to reduce visual noise and improve readability during high-volatility conditions. Trend direction is defined using a fast and slow exponential moving average, offering immediate context without lag-heavy complexity.
A session-based VWAP is included as a core institutional benchmark, allowing traders to quickly assess mean reversion, premium/discount zones, and intraday bias. Daily high and low levels are plotted automatically to highlight key liquidity boundaries and reaction zones commonly respected by professional participants.
This tool is intentionally minimalist—free of oscillators and signals—to support discretionary decision-making, execution precision, and price-action-based strategies across intraday and swing timeframes.






















