PIP BOOSTER Mac_Apple (Desktop) FullversionThe PIP BOOSTER from underground-traders.com is a very intelligent indicator with integrated win-rate tracking (%), which can be used on all markets and timeframes. Thanks to its two fundamentally different algorithms, the PIP BOOSTER is able to find a profitable setup in over 80% of all charts. The win-rate tracking (%) is highly detailed and can be applied to up to 5,000 candles.
It updates after every single signal, ensuring that performance monitoring is always up to date. Additionally, PIP BOOSTER users can apply different time filters, which can further optimize performance.
There is both a desktop version and a mobile version, which can be used with the TradingView mobile app. All signals are displayed clearly in the mobile app, making it possible to trade directly from your smartphone.
Please note that the demo version does not include any live signals. The demo version is only for you to evaluate the performance (win-rate %) of the two algorithms.
We guarantee that there are no repaint signals, and the signals in the demo version are 100% identical to those in the full version.
For any questions, please visit:
underground-traders.com
Or contact us at:
help@underground-traders.com
المؤشرات والاستراتيجيات
Gold Futures Grid MapperGold Futures Grid Mapper is a precision mapping tool designed to project COMEX Gold Futures (GC) price levels directly onto your spot gold chart. It helps traders visualize institutional futures levels as a structured grid, enabling clearer decision-making around key psychological and technical prices.
This indicator is especially useful for XAUUSD, spot gold, and CFD traders who want to align their analysis with futures market structure.
🔍 What This Indicator Does
Pulls live Gold Futures (GC) prices from a selected futures feed
Builds a fixed-dollar price grid (e.g. every $25) based on futures levels
Optionally adjusts futures levels to spot price, compensating for spread differences
Displays clean, dashed horizontal grid lines with labeled GC price levels
Updates dynamically on the latest bar only (no chart clutter or lag)
✨ Key Features
Futures-to-Spot Mapping
Automatically aligns GC futures levels to your current chart price.
Custom Grid Interval
Define your own grid spacing (e.g. $10, $25, $50).
Symmetrical Grid Projection
Plot multiple levels above and below the current price.
Clear Visual Design
Dashed golden grid lines with readable price labels.
Live Futures Dashboard
Displays the active futures feed and real-time GC price.
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
Spark Capital | Option Selling Range Calculator (By Shaurya)🔹 Spark Capital Option Selling Range Calculator
This indicator is designed for systematic index option sellers who want a probability-driven, volatility-aware framework to identify safe, moderate, and high-risk option selling zones on NIFTY.
The tool combines India VIX, time-to-expiry, and trend structure to dynamically project statistically significant price ranges using sigma-based expected move calculations, updated on every candle.
Opens and Levels MapperOpens & Levels Mapper — Institutional Overview
Opens & Levels Mapper provides a precise and unobtrusive framework of institutional reference levels used across global markets.
The tool focuses exclusively on time-based levels that matter for intraday structure, volatility timing, and session-to-session behavior.
Reference Levels Included
• Previous Ranges
PDH / PDL
PWH / PWL
PMH / PML
Anchored on the exact bar where each level forms to maintain structural integrity for sweeps, retests, liquidity grabs, and range rotations.
• Mid-Range (Optional)
50% of PD / PW / PM
Equilibrium markers offering internal range context without noise.
• Session Opens (DST-Proof)
London Midnight
London Open
New York Midnight
New York Cash Open
Hong Kong Open
Tokyo Open
All timestamps use real session timezones and auto-adjust with DST, ensuring accurate reference points monitored by professional desks.
Technical Characteristics
True timezone handling (DST-adjusted)
Anchoring directly on event-defining bars
Multiple line modes (Start→Now, Start→Right, Full Extend)
Optional price labels for core levels
Minimalist and clean visual footprint
No synthetic signals or artificial zones — only actionable reference levels
Use-Case Profile
Intraday bias development
Session overlap transitions
Reaction analysis around opens and previous ranges
Liquidity behavior at institutional reference points
Cross-session continuity (Asia → London → New York)
Works seamlessly alongside order flow, liquidity concepts, VWAP, FVGs, and market structure tools.
Disclaimer
This script does not generate trading signals or provide financial advice.
It is a contextual analysis tool.
Trading involves risk, and users remain solely responsible for their decisions.
• Built with Pine Script® v6
VSA (SC,BC) by Syed ShayanVSA (SC, BC) Climax
This indicator is designed for the trading community to detect Selling Climaxes (SC) and Buying Climaxes (BC) based on Volume Spread Analysis (VSA) principles. It identifies institutional exhaustion points and draws automatic trigger lines for potential reversals.
Key Features
Real-time Climax Detection: Automatically highlights SC/BC candles based on abnormal volume and price action.
Automatic Trigger Lines: Draws support/resistance lines that remain valid until broken by high-volume price action.
Clean Chart UI: Lines disappear automatically when a setup is invalidated, keeping your chart clutter-free.
Best Timeframe Usage (Important!)
Recommended for Lower Timeframes: This indicator is highly optimized and works best on 1m, 3m, and 5m charts for precise scalping and intraday setups.
Higher Timeframe Note: On larger timeframes (like 1H or Daily), the algorithm may occasionally struggle to detect a Climax because volume spikes are less distinct. For the most accurate signals, stick to lower timeframes.
How to Use & Set Alerts
Apply to Chart: Search for "VSA (SC,BC) by Syed Shayan" in the Indicators tab and click to add.
Setup Alerts: Press Alt + A to open the Alert menu.
Condition: Select this indicator and choose either "VSA SC Alert" (Bullish) or "VSA BC Alert" (Bearish).
Frequency: Set to "Once Per Bar Close" to ensure signal confirmation.
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.
SMC M5 Entry PRO (MTF Trend + TP/SL)//====================== ALERTS ======================//
alertcondition(bullBOS and useBOS, "BUY BOS", "Bullish BOS detected")
alertcondition(bearBOS and useBOS, "SELL BOS", "Bearish BOS detected")
alertcondition(bullCHOCH and useCHOCH, "BUY CHOCH", "Bullish CHOCH detected")
alertcondition(bearCHOCH and useCHOCH, "SELL CHOCH", "Bearish CHOCH detected")
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.
FxShare - CC ReversalVery simple , but very grounded, strict and pure math+statistics -based algo:
Based on candle count and reverse .
You can set how many candles (and their body shape) you count in a row before the retracement and market overstretch happens. It also has an EMA filter if you wish for even stronger but more rare signals.
Use it, break it, improve it.
Fear Greed RangesFear Greed Ranges Indicator: A Practical Guide to Market Sentiment Analysis
Introduction: Understanding Market Psychology
The "Fear Greed Ranges" indicator is a specialized technical analysis tool designed to visualize market sentiment through the lens of the Relative Strength Index (RSI). Unlike traditional RSI displays that show only a line graph, this indicator transforms raw RSI data into intuitive, color-coded zones that immediately signal whether markets are driven by fear, greed, or balanced sentiment. By providing this visual context, it helps traders identify potential turning points and manage risk more effectively.
Rational Integration: Why RSI Forms the Core
The indicator's foundation rests on the well-established RSI oscillator, chosen for several compelling reasons. First, RSI has stood the test of time since its development by J. Welles Wilder Jr. in 1978, with decades of empirical validation across various asset classes. Second, its mathematical construction—comparing the magnitude of recent gains to recent losses—directly measures momentum, which often precedes price reversals at extremes. Third, RSI's bounded nature (0-100 range) makes it ideal for creating clearly defined zones without subjective interpretation.
The integration transforms this numerical oscillator into a spatial visualization system. Rather than simply reading RSI values, traders can immediately perceive market conditions through color psychology: red triggers caution, green suggests opportunity, and yellow indicates neutrality. This multi-sensory approach reduces cognitive load during fast-moving markets and helps overcome confirmation bias that might occur when interpreting raw numbers.
Component Synergy: How the System Works Together
The indicator comprises three interconnected layers that create a unified analytical framework:
Core Calculation Layer: The traditional RSI calculation processes price data using the specified period length (default 14 periods). This generates the fundamental sentiment metric that drives all subsequent visualizations. The RSI calculation serves as the "brain" of the indicator, continuously analyzing market momentum.
Sentiment Classification Layer: This layer applies threshold logic to categorize each RSI reading into one of three emotional states. Readings above 70 are classified as "Greed" (market potentially overbought), below 30 as "Fear" (market potentially oversold), and between 30-70 as "Neutral" (balanced market conditions). These thresholds are based on the conventional RSI interpretation framework that has been widely adopted in technical analysis.
Visual Translation Layer: The most innovative aspect transforms numerical classifications into immediate visual cues. The colored ribbon area creates a "sentiment atmosphere" around price action, while the background tint provides subtle contextual framing. Horizontal reference lines at 30, 50, and 70 offer precise anchoring points, and the floating label provides real-time status updates. These elements work in concert: the ribbon shows sentiment intensity, the background provides persistent context, and the reference lines offer precise measurement points.
Practical Application: How to Use the Indicator Effectively
For optimal results, traders should incorporate this tool into a comprehensive analysis framework:
Initial Setup: Apply the indicator to any financial chart (stocks, forex, cryptocurrencies, etc.) using the default 14-period setting for general purposes. For shorter timeframes, consider reducing the period to 10; for longer-term analysis, increase to 20-25 periods.
Signal Interpretation:
When the ribbon turns red and the background tints crimson, exercise caution with new long positions and consider profit-taking on existing holdings.
Green zones may indicate accumulation opportunities, particularly if accompanied by bullish divergence (price making lower lows while RSI makes higher lows).
Yellow areas suggest normal market fluctuation where trend-following strategies may be more appropriate than reversal anticipation.
Confirmation Protocol: Always wait for additional confirmation before acting on extreme readings. For greed zone signals, look for bearish candlestick patterns, resistance at key price levels, or decreasing volume. For fear zone signals, watch for bullish reversal patterns, support levels holding, or increasing volume on down moves.
Timeframe Harmony: Analyze multiple timeframes simultaneously. A greed signal on a daily chart carries more weight than one on a 15-minute chart. Look for alignment across timeframes for higher-probability setups.
Alert Utilization: Enable the built-in alert system to receive notifications when sentiment zones change, ensuring you never miss potential opportunities or risk scenarios.
Original Contribution: What Sets This Indicator Apart
While RSI indicators are ubiquitous, the "Fear Greed Ranges" implementation offers several distinctive advantages:
Cognitive Efficiency: By converting numerical data into immediate visual perception, the indicator reduces the mental processing required to assess market conditions. Traders can glance at a chart and instantly understand the sentiment landscape without calculating or interpreting raw values.
Contextual Persistence: The colored background maintains a subtle but constant reminder of the prevailing sentiment, preventing the common pitfall of overlooking extreme conditions that might develop gradually.
Dual-Layer Communication: The system operates on both conscious (reference lines, labels) and subconscious (color psychology) levels, engaging multiple cognitive pathways for more reliable signal recognition.
Integrated Risk Framework: By explicitly naming emotional extremes ("Fear" and "Greed"), the indicator constantly reminds traders of the psychological forces driving markets, encouraging more disciplined decision-making.
Important Considerations and Limitations
No technical indicator guarantees future performance, and this tool should form only one component of a comprehensive trading strategy. Several critical factors require attention:
Market Context Matters: During strong trending markets, RSI can remain in extreme zones for extended periods without immediate reversal. In such conditions, the indicator signals strength rather than imminent reversal.
Volatility Adjustments: Highly volatile instruments may generate frequent zone changes that could lead to overtrading if not filtered appropriately.
Complementary Tools: This indicator works best when combined with price action analysis, volume studies, support/resistance levels, and fundamental factors where applicable.
Personal Adaptation: Traders should backtest the indicator on their preferred markets and timeframes to understand its characteristics before live implementation, potentially adjusting the RSI period or zone thresholds to match specific instrument behaviors.
The "Fear Greed Ranges" indicator serves as a visual translator of market psychology, converting mathematical momentum readings into intuitive emotional landscapes. By making RSI interpretation more immediate and accessible, it helps traders maintain objectivity during emotionally charged market conditions and supports more disciplined execution of their trading strategies. Remember that successful trading involves risk management, continuous learning, and adapting tools to your individual approach—this indicator provides one lens through which to view the markets, not a complete trading system in itself.
Boi stratThis is not investment advice. Trading fulltime with chart
This model is unproven and may be profitable or risky.
Trend Matrix Open Interest EnhancedOpen interest happy
he provided materials offer a technical guide on enhancing trading efficiency through specific technical indicators and visual data workflows. One source emphasises the importance of streamlined infographic designs to better illustrate complex processes with clear examples. The primary content focuses on a VWAP strategy for Bitcoin, specifically highlighting the utility of standard deviation bands as pivot points for high-frequency scalping. The presenter explains how to integrate Volume Bubble Pro to identify market absorption and reward, allowing traders to distinguish between winning and losing participants. By combining these volume-based tools, the author demonstrates how to execute aggressive entries and manage risk through precise sniper setups. Ultimately, the sources aim to provide a practical fram
PnL Candles/Line & Stats (Long & Short)I was enthusiastic to see how a PnL (Profit & Loss) candle looks, so I created this indicator to analyze trade performance for any other indicator. It visualizes PnL using candles and lines, making it easy to track individual trades and understand their outcomes.
How to Use:
In the indicator you want to analyze, define your entry and exit conditions as numeric series (1 or 0):
Longcondition = ? 1 : 0
LongExitcondition = ? 1 : 0
plot(Longcondition, title="Long Condition")
plot(LongExitcondition, title="Long Exit Condition")
Shortcondition = ? 1 : 0
ShortExitcondition = ? 1 : 0
plot(Shortcondition, title="Short Condition")
plot(ShortExitcondition, title="Short Exit Condition")
Provide these series as inputs in the PnL indicator:
Longcondition → Long trade entry trigger
LongExitcondition → Long trade exit trigger
Shortcondition → Short trade entry trigger
ShortExitcondition → Short trade exit trigger
Use the date/time filter to focus on specific periods.
Toggle Show Long Trades and/or Show Short Trades to display only the trades you want to analyze.
Features:
Visualizes PnL for each trade via candles and hidden lines.
Tracks key statistics: total trades, win rate, MAE (Maximum Adverse Excursion), MFE (Maximum Favorable Excursion), cumulative PnL.
Calculates historically suggested stop-loss levels (educational purposes only).
Summarizes metrics in a table with separate sections for Long and Short trades.
Note:
This tool is for educational purposes only. Stop-loss levels and trade statistics are illustrative, not trading recommendations. Users must perform their own analysis and risk management. The developer is not responsible for any gains or losses from using this indicator.
[X342] Structure & Entry Structure & Entry — SMC Toolkit
OVERVIEW
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Structure & Entry is a Smart Money Concepts (SMC) indicator that identifies market structure, order blocks, and optimal trade entry zones based on institutional trading principles.
METHODOLOGY
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The indicator implements core ICT/SMC concepts:
1. Market Structure Analysis
- Swing High/Low detection using pivot logic
- Market Structure Break (MSB) identification
- Bullish MSB: Price breaks above previous swing high
- Bearish MSB: Price breaks below previous swing low
- Tracks current market bias (bullish/bearish)
2. Order Block Detection
- Bullish OB: Last bearish candle before bullish MSB
- Bearish OB: Last bullish candle before bearish MSB
- Order blocks represent institutional entry zones
- Auto-extends to current bar
- Removed when mitigated (price passes through)
3. Optimal Trade Entry (OTE)
- Fibonacci retracement zone (0.618-0.786)
- Calculated from last swing high to swing low
- Adjusts direction based on current bias
- Premium zone for entry in direction of bias
WHY SMC?
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Smart Money Concepts focus on identifying where institutions are likely to enter the market. Order blocks and OTE zones represent high-probability areas where large players accumulate or distribute positions.
FEATURES
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✓ Dual language support (English / Türkçe)
✓ Auto MSB detection and labeling
✓ Dynamic Order Block zones
✓ OTE Fibonacci zones
✓ Mitigation tracking (Wick or Close)
✓ Market bias panel
✓ Comprehensive alerts
VISUAL ELEMENTS
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• Swing Points: Small circles at pivot highs/lows
• MSB Labels: "MSB ↑" or "MSB ↓" at structure breaks
• Order Blocks: Colored boxes at detected OB zones
- Green boxes: Bullish OBs (demand zones)
- Red boxes: Bearish OBs (supply zones)
• OTE Zone: Purple dashed box at Fibonacci retracement
SETTINGS
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Structure:
- Swing Length: Bars for pivot detection (default: 5)
- Show MSB: Toggle structure break labels
- Show Swing Points: Toggle pivot markers
Order Block:
- Show Order Blocks: Toggle OB zones
- OB Lookback: Bars to search for OB candle (default: 10)
- Max OB Count: Maximum active OBs (default: 5)
- Mitigation Type: Wick or Close-based removal
OTE:
- Show OTE Zone: Toggle Fibonacci zone
- OTE Upper: Upper boundary (default: 0.786)
- OTE Lower: Lower boundary (default: 0.618)
INFO PANEL
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Displays:
- Current market bias (BULL/BEAR)
- Last MSB price level
- Active Order Block count
ALERTS
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• Bullish MSB: Structure break to the upside
• Bearish MSB: Structure break to the downside
• Bullish OB Formed: New demand zone created
• Bearish OB Formed: New supply zone created
TRADING APPLICATION
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1. Wait for MSB to confirm direction
2. Look for price to retrace to OTE zone
3. Enter when price reacts at Order Block within OTE
4. Place stop beyond the Order Block
5. Target: Previous swing high/low or liquidity levels
BEST PRACTICES
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- Use higher timeframe for bias, lower for entry
- Fresh (untested) Order Blocks are stronger
- OTE + OB confluence = high probability setup
- Combine with Liquidity Hunter for targets
- Respect the current bias until new MSB






















