图表形态
Nasdaq Futures ReversalEnters a short trade when price hits a multiple of 100 from below and a long trade when it hits from above. Stop loss and take profit are both set 15 points away in opposite directions. Only one trade is allowed at a time.
SummerMute for communitySummerMute for community
indi được điều chỉnh dành cho ace follower.
Các tín hiệu sẽ được cập nhật thêm.
X: @Summer_Mute
ICT First Presented FVG - NY Open [LuckyAlgo]
This indicator identifies the first Fair Value Gap (FVG) that occurs during the New York trading session, combined with NY session opening price levels. It's an essential tool for traders who follow ICT concepts and focus on the NY trading session.
ICT refers to this as the First Presented FVG, while other traders may call it the 9:30 FVG.
This indicator is best for the 1 minute timeframe, while 5 minute also works.
Detects and marks the first FVG of the NY session
Displays both bullish (green) and bearish (red) FVGs with customizable transparency
Shows the NY session opening price with clear labels
Includes optional vertical line at 9:30 AM NY open
Maintains clean chart visibility with adjustable maximum display days
Includes session date and time labels for easy reference
The indicator helps traders identify potential reversal zones and continuation opportunities by combining two powerful concepts: Fair Value Gaps and NY session opening price. This makes it particularly valuable for day traders and swing traders who want to capitalize on institutional order flow patterns during the most liquid trading session.
You can customize the indicator's appearance, including FVG box colors, time range display, and whether to show the NY open markers. This flexibility allows you to integrate it seamlessly with your existing trading setup.
Quantum ScalperQuantum Scalper: The Ultimate Multi-Strategy Scalping Indicator
The Quantum Scalper is a sophisticated, all-in-one technical analysis tool, designed specifically for active scalpers and day traders who need a fast, reliable, and highly accurate indicator for trading in fast-moving markets. Unlike traditional indicators that rely on a single strategy, the Quantum Scalper integrates multiple advanced strategies into one cohesive system, offering a comprehensive, multi-dimensional approach to real-time market analysis.
With a combination of trend-following tools, momentum oscillators, volatility measures, and mean-reversion techniques, the Quantum Scalper ensures that you have everything you need to make high-probability trading decisions with precision and speed. This indicator provides automatic signals, allowing you to trade confidently without constantly second-guessing your analysis.
Key Features and Components of the Quantum Scalper
1. Trend-Following Strategy (EMA Crossovers)
The trend-following strategy is at the core of the Quantum Scalper, providing a clear and reliable method to identify the current market direction. This strategy uses a dual Exponential Moving Average (EMA) system with two time periods:
Short-term EMA (8-period): Reacts quickly to price changes, capturing the immediate market sentiment.
Long-term EMA (21-period): Smoother and slower, providing a clearer view of the longer-term market trend.
How it works:
Bullish signal: When the short-term EMA crosses above the long-term EMA, this indicates a potential uptrend, suggesting it might be a good time to buy.
Bearish signal: When the short-term EMA crosses below the long-term EMA, this indicates a potential downtrend, suggesting it might be a good time to sell.
The EMA crossovers act as dynamic trend signals that adjust with the market, helping you identify the prevailing trend.
2. Momentum Indicators (RSI and MACD)
Momentum indicators help measure the strength of a market trend, and how likely it is to continue. The Quantum Scalper uses two powerful momentum indicators:
Relative Strength Index (RSI): This oscillator measures the strength of a trend by comparing recent gains to losses. It ranges from 0 to 100, indicating overbought or oversold conditions.
Overbought (above 70): Market may be due for a pullback, signaling a potential reversal or downtrend.
Oversold (below 30): Market may be due for a bounce, signaling a potential reversal or uptrend.
Moving Average Convergence Divergence (MACD): The MACD compares two EMAs (12 and 26 periods) to identify changes in momentum.
MACD Line: The difference between the two EMAs.
Signal Line: A 9-period EMA of the MACD Line.
MACD Histogram: The difference between the MACD Line and the Signal Line, providing a visual representation of momentum.
Bullish crossover: When the MACD crosses above the Signal Line, it signals increasing momentum in the uptrend.
Bearish crossover: When the MACD crosses below the Signal Line, it signals increasing momentum in the downtrend.
The RSI and MACD indicators work together, confirming the strength of the trend and identifying possible trend continuation or trend reversal points.
3. Volatility Analysis (ATR)
Volatility is a critical component for scalpers, as it helps define the market's price range and provides insights into risk management. The Average True Range (ATR) is used to measure market volatility by calculating the average range between high and low prices over a specific period (typically 14 periods).
High ATR: Indicates high volatility in the market, which is crucial for scalping, as it often correlates with larger price movements.
Low ATR: Indicates low volatility, suggesting a consolidation or range-bound market where trades might not be as profitable.
By analyzing ATR, the Quantum Scalper helps you determine the appropriate position size and risk level, making it easier to adjust your strategy according to the market's conditions.
4. Mean Reversion (Bollinger Bands)
The Bollinger Bands are used to identify overbought and oversold conditions relative to the market’s moving average. The bands consist of three components:
Middle Band (SMA): The 20-period Simple Moving Average (SMA) of the price.
Upper Band: The middle band plus a multiple of the standard deviation (usually 2 times).
Lower Band: The middle band minus a multiple of the standard deviation.
How it works:
Upper Band: When price touches or exceeds the upper band, the market is considered overbought, suggesting a potential mean reversion (price will likely come back to the mean or middle band).
Lower Band: When price touches or exceeds the lower band, the market is considered oversold, suggesting a potential mean reversion to the upside.
The Bollinger Bands are especially useful for identifying potential corrections or reversals after the market becomes overextended.
5. Trend Reversal (Parabolic SAR)
The Parabolic SAR (Stop and Reverse) indicator is a trend-following tool that helps identify potential trend reversals. The SAR is plotted as a series of dots above or below the price. The position of the dots indicates the current trend:
Above price: Indicates a downtrend.
Below price: Indicates an uptrend.
How it works:
When the price crosses above the SAR dots, the market could be entering an uptrend (bullish reversal).
When the price crosses below the SAR dots, the market could be entering a downtrend (bearish reversal).
The Parabolic SAR enhances the Quantum Scalper by giving real-time insight into trend changes, making it easier to catch trend reversals early.
6. Trend Strength (ADX)
The Average Directional Index (ADX) measures the strength of a trend, whether bullish or bearish. The ADX ranges from 0 to 100 and helps identify whether the market is trending or consolidating:
ADX > 25: Strong trend, either bullish or bearish.
ADX < 20: Weak trend or market consolidation (sideways movement).
The ADX confirms whether the market is strong enough to warrant a trade. It helps the Quantum Scalper avoid low-volatility environments and focus on high-probability trends.
7. Momentum (Stochastic Oscillator)
The Stochastic Oscillator measures the momentum of price relative to its price range over a specific period. It consists of two lines: %K (the fast line) and %D (the slow line, typically a 3-period moving average of %K).
Overbought (above 80): Market is likely overextended, and a potential reversal could occur.
Oversold (below 20): Market is likely overextended in the opposite direction, suggesting a potential reversal to the upside.
The Stochastic Oscillator is an important tool for timing entry and exit points, especially during periods of high momentum or overbought/oversold conditions.
How to Use the Quantum Scalper
Trend Direction:
Observe the EMA crossovers and Parabolic SAR dots to determine the trend direction.
Uptrend: Short-term EMA above the long-term EMA, and SAR dots below price.
Downtrend: Short-term EMA below the long-term EMA, and SAR dots above price.
Momentum:
Use RSI and MACD for confirmation:
Bullish momentum: RSI rising from oversold, MACD histogram positive.
Bearish momentum: RSI falling from overbought, MACD histogram negative.
Volatility:
Pay attention to the ATR for risk management.
High ATR: Indicates high volatility, use smaller position sizes if necessary.
Low ATR: Watch for consolidation and prepare for potential breakout opportunities.
Mean Reversion:
Watch the Bollinger Bands for potential reversals.
Price touches upper band: Consider taking short positions or prepare for a price pullback.
Price touches lower band: Consider taking long positions or prepare for a price bounce.
Trend Reversal:
Use Parabolic SAR to identify potential trend reversals.
If price moves from below SAR to above it, look for buy opportunities.
If price moves from above SAR to below it, look for sell opportunities.
Trend Strength:
Use ADX to confirm whether a strong trend is in place.
ADX above 25: Enter trades aligned with the strong trend.
ADX below 20: Avoid trades in low-trend, sideways markets.
Who Can Benefit from the Quantum Scalper?
Scalpers looking to profit from small price movements in fast-paced markets.
Day traders who need to quickly identify high-probability entry and exit points.
Traders who want a comprehensive, multi-strategy approach to market analysis, without having to use multiple indicators or switch between strategies.
Traders who are looking to enhance their risk management by incorporating volatility and trend strength analysis into their decision-making process.
AlgoICTRSI Divergence (v1-smelik)"Algo + ICT + RSI Divergence" is a multi-strategy indicator that combines Smart Money Concepts (ICT), algorithmic buy/sell signals, RSI/MACD divergence detection, and trend confirmation to provide high-probability trade entries and exits with institutional-level accuracy. 🚀
Micha Stocks Custom Watermark [LGariv]Added an indicator for market cap bigger(✅) or smaller(⚠️) then 1B. Also made the ticker symbol and timeframe on top and slightly bigger text size then the rest of the lines.
Abid Elite Manual PivotsThis indicator is designed to help traders visualize key manually defined price levels—namely resistance, pivot, and support levels—on their charts during a specified trading session. Here’s an overview of what it does and how it’s used:
**Key Features**
1. **Manual Input of Pivot Levels**
- **Resistance Levels:** You can input up to five resistance levels (R1 through R5).
- **Pivot Level:** A single pivot level (P) is defined as a central point.
- **Support Levels:** You can also input up to five support levels (S1 through S5).
These levels are manually set by the trader based on areas of interest or historical price action.
2. **Session-Based Display**
- The indicator uses a session input (for example, 0400–2000) so that it only displays and tracks the levels during the active trading session.
- At the start of each new session, the indicator resets certain persistent states, ensuring that levels are evaluated freshly each day.
3. **Drawing Horizontal Lines and Labels**
- For each level that you’ve set and enabled (via visibility toggles), the indicator draws a horizontal line across the chart starting from the session’s beginning and extending a few bars ahead.
- Next to each line, a label displays the level’s name (e.g., “R1”) and its price value.
4. **Persistent “Crossed” Marker (🎯)**
- The script checks whether the current bar’s price range (its high and low) “crosses” any of the defined levels.
- If a level is crossed at any point during the session, the indicator sets a persistent flag for that level.
- In the label for that level, a “🎯” emoji is appended—this marker remains visible for the rest of the session even if subsequent bars no longer cross the level.
- Importantly, while the marker is persistent once set, the line and label’s appearance (such as transparency or color intensity) continues to update based on the price’s behavior on the current bar.
5. **Customization Options**
- **Appearance:** Users can choose line colors, line style (solid, dashed, or dotted), and line width for each group of levels.
- **Label Colors:** Separate color settings for the text on the labels ensure clear readability.
- **Visibility Toggles:** You can individually enable or disable the display of each level (R1–R5, P, S1–S5) depending on your analysis needs.
---
**Usage and Benefits**
- **Support and Resistance Analysis:**
The indicator serves as a visual tool for tracking critical price levels. Traders use these levels to anticipate potential areas of price reversal or consolidation.
- **Session-Based Insights:**
By confining the analysis to a specific session, you can better understand intraday price behavior. The persistent “🎯” marker shows which levels have been tested during the session, helping you gauge the strength of support or resistance.
- **Manual Flexibility:**
Unlike automatic pivot point calculators that derive levels from previous price action, this indicator lets you input your own significant levels based on your strategy, technical analysis, or market experience.
- **Visual Clarity:**
The combination of lines, labels, and the persistent marker makes it easy to quickly identify which key levels have been breached. This can inform decisions about entries, exits, or stop-loss placements.
---
**In Summary**
The **Abid Elite Manual Pivot Points** indicator is a customizable, session-based tool for plotting and monitoring user-defined support, resistance, and pivot levels. It not only draws these levels on the chart but also visually flags (with a “🎯”) any level that gets crossed during the session. This helps traders to quickly recognize important price interactions and make more informed trading decisions based on technical analysis.
If you have any further questions about its functionality or how to integrate it into your trading strategy, feel free to ask!
DXY Monthly Peaks and Bottoms for BTCtrying to spot BTC macro tops and bottoms based on peak bottom tops of DXY
Fibonacci - DolphinTradeBot
OVERVIEW
The 'Fibonacci - DolphinTradeBot' indicator is a Pine Script-based tool for TradingView that dynamically identifies key Fibonacci retracement levels using ZigZag price movements. It aims to replicate the Fibonacci Retracement tool available in TradingView’s drawing tools. The indicator calculates Fibonacci levels based on directional price changes, marking critical retracement zones such as 0, 0.236, 0.382, 0.5, 0.618, 0.786, and 1.0 on the chart. These levels are visualized with lines and labels, providing traders with precise areas of potential price reversals or trend continuation.
HOW IT WORKS ?
The indicator follows a zigzag structure. After a large swing movement, when new swings are formed without breaking the upper and lower levels, it places Fibonacci levels at the beginning and end points of the major swing movement."
▪️(Bullish) Structure :High → HigherLow → LowerHigh
▪️(Bearish) Structure :Low → LowerHigh → HigherLow
▪️When Fibonacci retracement levels are determined, a "📌" mark appears on the chart.
▪️If the price closes outside of these levels, a "❌" mark will appear.
USAGE
This indicator is designed to plot Fibonacci levels within an accumulation zone following significant price movements, helping you identify potential support and resistance. You can adjust the pivot periods to customize the zigzag settings to your preference. While classic Fibonacci levels are used by default, you also have the option to input custom levels and assign your preferred colors.
"To view past levels, simply enable the ' Show Previous Levels ' option, and to display the zigzag lines, activate the ' Show Zigzag ' setting."
ALERTS
The indicator, by default, triggers an alarm when both a level is formed and when a level is broken. However, if you'd like, you can select the desired level from the " Select Level " section in the indicator settings and set the alarm based on one of the conditions below.
▪️ cross-up → If the price breaks the Fibonacci level to the upside.
▪️ cross-down → If the price breaks the Fibonacci level to the downside.
▪️ cross-any → If the price breaks the Fibonacci level in any direction.
RSI with Overbought/Oversold Alerts//@version=6
indicator("RSI with Overbought/Oversold Alerts", overlay=false)
// 輸入參數
rsiLength = input(14, title="RSI Length")
overboughtLevel = input(70, title="Overbought Level")
oversoldLevel = input(30, title="Oversold Level")
// 計算 RSI
rsiValue = ta.rsi(close, rsiLength)
// 條件判斷
isOverbought = rsiValue >= overboughtLevel
isOversold = rsiValue <= oversoldLevel
// 繪製 RSI 線，並用顏色標示超買和超賣區域
rsiColor = isOverbought ? color.red : isOversold ? color.green : color.blue
plot(rsiValue, title="RSI", color=rsiColor, linewidth=2)
// 繪製超買和超賣水平線
hline(overboughtLevel, "Overbought", color=color.red, linestyle=hline.style_dotted)
hline(oversoldLevel, "Oversold", color=color.green, linestyle=hline.style_dotted)
// 填充超買和超賣區域
fill(plot(rsiValue, color=na), plot(overboughtLevel, color=color.new(color.red, 90)), title="Overbought Fill")
fill(plot(rsiValue, color=na), plot(oversoldLevel, color=color.new(color.green, 90)), title="Oversold Fill")
// 觸發提示音
if (isOverbought)
label.new(x=bar_index, y=high, text="Overbought!", style=label.style_label_down, color=color.red, textcolor=color.white)
alert("RSI is Overbought!", alert.freq_once_per_bar_close)
if (isOversold)
label.new(x=bar_index, y=low, text="Oversold!", style=label.style_label_up, color=color.green, textcolor=color.white)
alert("RSI is Oversold!", alert.freq_once_per_bar_close)
Inside BarsInside Bars Indicator
Description:
This indicator identifies and highlights price action patterns where a bar's high and low
are completely contained within the previous bar's range. Inside bars are significant
technical patterns that often signal a period of price consolidation or uncertainty,
potentially leading to a breakout in either direction.
Trading Literature & Theory:
Inside bars are well-documented in technical analysis literature:
- Steve Nison discusses them in "Japanese Candlestick Charting Techniques" as a form
of harami pattern, indicating potential trend reversals
- Thomas Bulkowski's "Encyclopedia of Chart Patterns" categorizes inside bars as
a consolidation pattern with statistical significance for breakout trading
- Alexander Elder references them in "Trading for a Living" as indicators of
decreasing volatility and potential energy build-up
- John Murphy's "Technical Analysis of the Financial Markets" includes inside bars
as part of price action analysis for market psychology understanding
The pattern is particularly significant because it represents:
1. Volatility Contraction: A narrowing of price range indicating potential energy build-up
2. Institutional Activity: Often shows large players absorbing or distributing positions
3. Decision Point: Market participants evaluating the previous bar's significance
Trading Applications:
1. Breakout Trading
- Watch for breaks above the parent bar's high (bullish signal)
- Monitor breaks below the parent bar's low (bearish signal)
- Multiple consecutive inside bars can indicate stronger breakout potential
2. Market Psychology
- Inside bars represent a period of equilibrium between buyers and sellers
- Shows market uncertainty and potential energy building up
- Often precedes significant price movements
Best Market Conditions:
- Trending markets approaching potential reversal points
- After strong momentum moves where the market needs to digest gains
- Near key support/resistance levels
- During pre-breakout consolidation phases
Complementary Indicators:
- Volume indicators to confirm breakout strength
- Trend indicators (Moving Averages, ADX) for context
- Momentum indicators (RSI, MACD) for additional confirmation
Risk Management:
- Use parent bar's range for stop loss placement
- Wait for breakout confirmation before entry
- Consider time-based exits if breakout doesn't occur
- More reliable on higher timeframes
Note: The indicator works best when combined with proper risk management
and overall market context analysis. Avoid trading every inside bar pattern
and always confirm with volume and other technical indicators.
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RSI Divergence Indicator - CryptoMittalThis script has been taken for personal usage to be used to find RSI divergences.
Gold Scalp GuardianGold Scalp Guardian - 黄金剥头皮智能风险过滤器
——用三重防护体系守护震荡市利润，规避趋势陷阱
核心价值
专为黄金（XAUUSD）1分钟图表设计的全天候风险监测系统，通过**「趋势强度识别」+「波动率预警」+「多周期验证」**三重动态过滤，精准标注高胜率交易时段。当市场进入无序波动或突发趋势时，自动触发「红色警报」保护交易者免受意外冲击。
指标亮点
✅ ADX趋势墙
实时监控1分钟和15分钟双周期ADX强度，当ADX≥25（可调阈值）时判定趋势启动，禁止逆势交易。
✅ ATR波动率雷达
独创「短期ATR/长期ATR」动态比值模型，自动识别流动性异常波动（如央行决议、地缘冲突）。
✅ EMA趋势罗盘
通过EMA8/EMA21黄金交叉验证微观趋势方向，规避均线发散期的假突破陷阱。
✅ 视觉化风控面板
🟢 绿色背景：安全交易时段（震荡市环境）
🔴 红色背景：风险锁定状态（趋势/波动异常）
📊 右上角实时显示四项风险检测清单
技术架构
mermaid
复制
graph TD
A --> B{ADX趋势过滤}
A --> C{ATR波动分析}
A --> D{EMA方向验证}
B --> E
C --> F
D --> G
E & F & G --> H
H --> I
参数配置指南
参数名称 默认值 适用场景 调整建议
ADX趋势阈值 25 常规行情 波动市下调至20-22
ATR危险比值 1.5 亚洲交易时段 欧盘时段上调至1.8-2.0
EMA快线周期 8 短线剥头皮 超短线可设为5
ADX平滑周期 14 降低信号噪声 趋势市上调至18-20
实战应用场景
伦敦开盘波动过滤
当欧洲时段流动性激增导致ATR比值>1.8时，自动暂停交易20分钟，规避虚假突破。
美联储决议防护
在重大新闻发布前1小时启动「增强监测模式」，若15分钟ADX突然上升5个点，触发预锁定机制。
夜间震荡市捕捉
美盘尾段满足：
1分钟ADX<20
ATR比值<1.3
EMA8与EMA21间距<0.3%
自动激活高频交易窗口（绿色持续时长中位数37分钟）。
安装与使用
点击"添加到图表"，选择XAUUSD 1分钟周期
根据个人风险偏好调整参数（建议先用默认值）
观察右上角风险控制面板：
绿色时段：可配合RSI超卖/买策略进场
红色时段：强制启用≤3个点的硬止损
右键创建警报，接收趋势启动即时通知
Señal de Compra/Venta con SL, TP y Nube de Tendencia (marroquin)1-Medias Móviles (SMA): Se utiliza una media móvil simple para generar señales de compra y venta. Cuando el precio cruza por encima de la SMA, se genera una señal de compra, y cuando cruza por debajo, se genera una señal de venta.
2-Average True Range (ATR): El ATR se utiliza para calcular los niveles de Stop Loss y Take Profit. El Stop Loss se coloca a una distancia de ATR desde el precio de entrada, y el Take Profit se coloca a una distancia de ATR multiplicado por el ratio de riesgo/beneficio.
2-Señales de Compra/Venta: Las señales se dibujan en el gráfico con etiquetas "BUY" y "SELL".
3-Stop Loss y Take Profit: Los niveles de Stop Loss y Take Profit se dibujan en el gráfico y también se muestran en un cuadro en la esquina inferior derecha del gráfico.
4-Tabla de Información: Se utiliza una tabla para mostrar los niveles sugeridos de Stop Loss y Take Profit.
Personalización:
Puedes ajustar la longitud de la SMA y el ATR según tus preferencias.
El ratio de riesgo/beneficio también se puede ajustar para adaptarse a tu estrategia de trading.
Cómo Usar:
Copia el script en el editor de Pine Script en TradingView.
Ajusta los parámetros según tus necesidades.
Añade el indicador a tu gráfico.
EDGE Market Maker StrategyDCAA HedgeFlow System
Objective: Provide real-time, structured analysis for ENS/USDT trades by focusing on market maker liquidity flows and footprints, rather than traditional retail indicators. This approach is designed to grant an institutional-level execution edge.
1. Liquidity-Based Market Assessment
• Liquidity Zones: Locate areas where market makers trap retail (bull/bear traps).
• Order Book Imbalances: Highlight significant buy/sell pressure absorption.
• Volume Clusters & Absorption: Detect liquidity exhaustion points.
• Market Maker Footprints: Pinpoint institutional positioning.
Restriction: Do not use static support/resistance. All levels must derive from liquidity traps, absorption points, and institutional footprints.
2. DCAA & Trade Optimization
Analyze and recommend optimal DCAA levels by examining market maker absorption and real-time positioning, instead of offering fixed levels.
• Short DCAA: Identify zones where short sellers are trapped before a reversal; confirm entries via VWAP, CVD, and Open Interest.
• Long DCAA: Identify accumulation zones where market makers absorb liquidations; confirm entries using order book absorption and volume imbalances.
3. Take-Profit Analysis: Liquidity Exit Points
Provide dynamic TP zones that update in real time based on liquidity exhaustion—never static.
• Short TP: Reveal zones where sellers are absorbed and liquidity fades; confirm via volume divergence, order book imbalances, and market maker exits.
• Long TP: Identify zones where buyers are absorbed before market makers exit; confirm via VWAP alignment and liquidity exhaustion.
4. Market Maker Trap Detection
Analyze bull/bear traps with liquidity data:
• Bull Trap: Detect resistance absorption that traps late buyers; confirm with CVD divergence and order book shifts.
• Bear Trap: Identify stop-hunt areas where market makers absorb forced liquidations; confirm with VWAP and Open Interest spikes.
Provide a probability (%) for each trap scenario to guide risk assessment.
5. Hedge Strategy Analysis
Recommend hedging only if order flow confirms institutional absorption:
• Short Hedge: Identify zones for short hedging to counter bullish market maker shifts.
• Long Hedge: Identify zones for long hedging against stop hunts and forced liquidations.
Hedge recommendations must adapt to VWAP shifts, liquidity depth, and institutional moves.
6. Order Flow Tracking: Institutional Footprint Analysis
Track and validate:
• VWAP: Confirm institutional absorption or positioning.
• CVD (Cumulative Volume Delta): Detect trapped buyers/sellers.
• Open Interest: Confirm accumulation or liquidation trends.
All conditions must be met before finalizing DCAA or TP levels.
7. Structured Execution
For every ENS/USDT analysis:
1. Identify liquidity traps, absorption zones, and market maker footprints.
2. Confirm stop hunts or liquidation events before finalizing DCAA zones.
3. Integrate VWAP, CVD, and Open Interest data to validate trades.
4. Provide dynamic TP zones (not static) based on real-time liquidity.
5. Evaluate hedges according to shifts in market maker positioning.
8. Analysis Restrictions & Optimization
• No static S/R or retail indicators (e.g., moving averages, RSI, MACD).
• No predefined TP levels—always dynamic and liquidity-based.
• Prioritize liquidity tracking, volume imbalances, institutional footprints.
• Offer probability-based breakout, breakdown, and ranging assessments using real-time data.
9. Market Maker Validation
Before finalizing a trade:
1. VWAP: Must confirm institutional absorption (yes → proceed; no → reassess).
2. CVD: Must show divergence with trapped traders (yes → proceed; no → delay).
3. Open Interest: Must confirm accumulation/liquidation (yes → proceed; no → wait).
4. Stop Hunt: Must have confirmation of a completed stop hunt or liquidation (yes → proceed; no → hold off).
Any conclusion not supported by liquidity data should be rejected.
10. Continuous Refinement
This strategy refines analysis accuracy by:
• Tracking historical forecasts and adjusting probability models.
• Adapting liquidity zone detection with real-time data updates.
• Speeding up detection of stop hunts and hedge signals.
Final Confirmation: Institutional-Grade Analysis Tool
All analysis must be rooted in liquidity flow and smart money positioning. The goal is to optimize trade execution with risk-adjusted insights, eliminate retail inefficiencies, and adapt dynamically to market conditions—functioning as a truly institutional-level analysis engine for ENS/USDT.
Use or adapt these instructions to maintain an institutional-grade focus on liquidity-driven market dynamics.
Responsive Moving Average with Trend Detection - MissouriTimThis indicator calculates a responsive moving average (RMA) that dynamically adjusts its sensitivity based on market volatility. This indicator is more responsive that SMAs, EMAs, WMAs, and HMAs. Here's how it functions:
Dynamic Length Adjustment: Utilizes the Average True Range (ATR) to adjust the length of the moving average. In times of increased volatility, the length decreases to make the average more responsive to price changes, and in quieter markets, it increases to reduce noise.
Responsive and Smoothed Moving Averages:
Responsive EMA: An initial Exponential Moving Average (EMA) is calculated with a dynamically adjusted length for responsiveness.
Smoothing: A secondary layer of smoothing is applied to this responsive EMA to further smooth out price fluctuations.
Trend Detection:
Detects trends by comparing the current smoothed EMA with its previous values:
Uptrend is identified when the current smoothed EMA is higher than the last two periods.
Downtrend is recognized when the current smoothed EMA is lower than the last two periods.
Consolidation occurs when neither an uptrend nor a downtrend is present.
Visual Representation:
The moving average line changes color:
Green for an uptrend.
Red for a downtrend.
Orange for consolidation.
Significant Trend Labels:
Labels are displayed when there's a significant change in the moving average:
Uptrend Labels appear when the EMA increases by more than the user-defined "Uptrend Label on % Change" threshold, placed at the high of the bar with green background.
Downtrend Labels are shown when the EMA decreases by more than the "Downtrend Label on % Change" threshold, positioned at the low of the bar with a red background.
Users can enable or disable these labels, and the thresholds for labeling uptrends and downtrends can be adjusted separately to match market conditions or user preferences.
This indicator is tailored for traders needing a moving average that adapts to market dynamics while providing clear visual feedback on significant trend changes via color-coded lines and labels.
Dynamic Currency Strength IndexDescription:
This indicator calculates the relative strength of the base currency and quote currency of the currently selected forex pair. Instead of just using a single pair comparison (e.g., GBPUSD - AUDUSD), it determines currency strength using a basket of related pairs, making it more accurate and useful for trading decisions.
How It Works:
Extracts the base and quote currencies from the selected forex pair.
Calculates their individual strengths using multiple related forex pairs.
Displays the strength difference between the base and quote currencies.
How to Use:
✔️ If the strength difference is positive, the base currency is stronger → Bullish signal.
✔️ If the strength difference is negative, the quote currency is stronger → Bearish signal.
✔️ Use it to confirm trends, filter trades, and improve entry timing in forex trading.
💡 Ideal for traders using trend-based strategies (Dow Theory, HH-HL patterns, breakouts, etc.).
Bars pattern MLThis script implements a K-Nearest Neighbors (KNN)-based machine learning model to predict future price movements in financial markets. It analyzes past price action using Euclidean distance and selects the most similar historical patterns to estimate future price changes. Unlike traditional KNN implementations, this approach optimizes distance calculations by maintaining a dynamically updated list of the closest neighbors, ensuring efficient selection without the need for sorting. The model generates a forecasted price trajectory based on incremental predictions, which are visualized on the chart using polylines for better interpretability.
