EMA(120,200)Indicator: EMA(120,200) for Bitcoin Pullback Strategy
Description:
This indicator plots two Exponential Moving Averages (EMAs) on the Bitcoin price chart:
EMA 120 (short-term trend)
EMA 200 (long-term trend)
The purpose is to identify potential buying opportunities ("go long") when Bitcoin's price pulls back to the "channel" between EMA 120 and EMA 200.
Key Features:
EMA Calculation:
ema120 = ta.ema(close, 120) → 120-period EMA (faster, reacts to recent price).
ema200 = ta.ema(close, 200) → 200-period EMA (slower, broader trend).
Visualization:
Both EMAs are plotted as white lines (color=#ffffff) with a thickness of 2.
Trading Logic (Implied):
When Bitcoin's price retraces (pulls back) to the zone between EMA 120 and EMA 200, traders may consider entering long positions, assuming the overall uptrend remains intact.
This strategy leverages the idea that EMAs act as dynamic support levels during uptrends.
How to Use It:
Uptrend Confirmation:
Ensure EMA 120 is above EMA 200 (bullish alignment).
Pullback Entry:
Wait for the price to dip near the EMA 120-200 channel.
Cari dalam skrip untuk "entry"
Swing Exit System with Legend Dashboard — Smart + Stylish“They say it’s more important when you buy than when you sell — but this script begs to differ.”
In the real world of trading, the exit is often more important than the entry. A bad exit can turn a winning trade into a loss. A late exit can leave you bag-holding. A premature exit can cause regret as the trade runs without you. That’s where this script steps in — built to guide you through intelligent, data-driven exits with visual clarity and confidence.
🧠 What This Script Does
This is a swing trade exit assistant, not just a signal plotter. It uses seven distinct exit conditions — all grounded in technical structure and momentum — to alert you when it's time to consider reducing or closing a position. Each condition is visualized using a unique, color-coded triangle on the chart for quick interpretation. All signals are also listed in a dynamic legend panel.
🎯 The Exit Signals Include:
10 SMA Break (🟠) – Signals short-term momentum loss
20 SMA Break (🔵) – Stronger loss of trend support
SMA Cross (🔴) – Fast SMA crossing below slow SMA = trend weakening
ATR Stop Hit (🟥) – Price breaks below a trailing ATR stop
RSI Momentum Fade (🟣) – RSI drops below 50 after being overbought
RSI Bearish Divergence (🟪) – Momentum diverges from price
Lower High / Lower Low (⚫️) – Classic bearish market structure
Each triangle matches the color of its entry in the exit legend dashboard, which appears as a floating table on the lower right of the screen for maximum clarity without clutter.
📊 Also Displayed:
Live ATR value – Helps evaluate volatility and stop distance
Fast SMA (10) & Slow SMA (20) – See trend context and potential crossovers
Upper/lower ATR bands for visual trailing stops
🧰 Why This Matters
This script isn’t about blindly following signals — it’s about supporting decision-making. It helps you exit trades with intention, not emotion. It’s built for:
Swing traders who hold for 2–10 bars
Traders using multi-condition filters
Visual thinkers who want signal and structure in sync
Exit too early and you leave money on the table. Exit too late and you give it all back. This tool gives you the structure to exit when the chart says so, not when your nerves do.
Risk Calculator PRO — manual lot size + auto lot-suggestionWhy risk management?
90 % of traders blow up because they size positions emotionally. This tool forces Risk-First Thinking: choose the amount you’re willing to lose, and the script reverse-engineers everything else.
Key features
1. Manual or Market Entry – click “Use current price” or type a custom entry.
2. Setup-based ₹-Risk – four presets (A/B/C/D). Edit to your workflow.
3. Lot-Size Input + Auto Lot Suggestion – you tell the contract size ⇒ script tells you how many lots.
4. Auto-SL (optional) – tick to push stop-loss to exactly 1-lot risk.
5. Instant Targets – 1 : 2, 1 : 3, 1 : 4, 1 : 5 plotted and alert-ready.
6. P&L Preview – table shows potential profit at each R-multiple plus real ₹ at SL.
7. Margin Column – enter per-lot margin once; script totals it for any size.
8. Clean Table UI – dark/light friendly; updates every 5 bars.
9. Alert Pack – SL, each target, plus copy-paste journal line on the chart.
How to use
1. Add to chart > “Format”.
2. Type the lot size for the symbol (e.g., 1250 for Natural Gas, 1 for cash equity).
3. Pick Side (Buy / Sell) & Setup grade.
4. ✅ If you want the script to place SL for you, tick Auto-SL (risk = 1 lot).
5. Otherwise type your own Stop-loss.
6. Read the table:
• Suggested lots = how many to trade so risk ≤ setup ₹.
• Risk (currency) = real money lost if SL hits.
7. Set TradingView alerts on the built-in conditions (T1_2, SL_hit, etc.) if you’d like push / email.
8. Copy the orange CSV label to Excel / Sheets for journalling.
Best practices
• Never raise risk to “fit” a trade. Lower size instead.
• Review win-rate vs. R multiple monthly; adjust setups A–D accordingly.
• Test Auto-SL in replay before going live.
Disclaimer
This script is educational. Past performance ≠ future results. The author isn’t responsible for trading losses.
LANZ Strategy 2.0🔷 LANZ Strategy 2.0 — London Breakout Confirmation with Structural Swing Protection
LANZ Strategy 2.0 is a structured trading system that leverages the last confirmed market direction before the London session to define directional bias and manage trades based on key structural swing levels. It is tailored for intraday traders looking to capitalize on early London volatility with built-in risk management and visual clarity.
🧠 Core Components:
Directional Confirmation (Pre-London Bias): Validates the last breakout or structural move from the 15-minute timeframe before 02:15 a.m. New York time (start of the London session), establishing the expected market direction.
Time-Based Execution: Executes potential entries strictly at 02:15 a.m. NY time, using market structure to support Long or Short bias.
Dynamic Swing-Based SL System: Allows user to select between three SL protection models: First Swing (most recent structural point) Second Swing (prior level) Total Coverage (includes both swings + extra buffer) This supports flexibility based on trader profile or market conditions.
Visual Risk Mapping: All SL and TP levels are clearly plotted.
End-of-Session Management: Positions are automatically evaluated for closure at 11:45 a.m. NY time. SL, TP, or manual close outcomes are labeled accordingly.
📊 Visual Features:
Labels for 1st and 2nd swing levels upon entry.
Dynamic lines projecting SL/TP levels toward the end of the session.
Session background coloring for Pre-London, Execution, and NY sessions.
Real-time percentage outcome labels (+2.00%, -1.00%, or net % at session end).
Automatic deletion of previous visuals on new entries for clean charting.
⚙️ How It Works:
Detects last structural breakout on the 15m timeframe before 02:15 a.m. NY.
On the 02:15 a.m. candle, executes a Long or Short logic entry.
Plots corresponding SL and TP based on selected swing model.
Monitors price action: If TP or SL is hit, labels it accordingly. If no exit is hit, trade closes manually at 11:45 a.m. NY with net result shown.
Optional logic to reverse entries if market structure breaks before execution.
🔔 Alerts:
Daily execution alert at 02:15 a.m. NY (prompting manual review or action).
Optional alert logic can be extended for SL/TP hits or structure breaks.
📝 Notes:
Designed for semi-automated or discretionary intraday trading.
Best used on Forex pairs or indices with strong London session behavior.
Adjustable parameters include session hours, swing SL type, and buffer settings.
Credits:
Developed by LANZ, this script combines time-based execution with dynamic structure protection, offering a disciplined framework for participating in the London session breakout with clear visuals and risk logic.
Price Lag Factor (PLF)📊 Price Lag Factor (PLF) for Crypto Traders: A Comprehensive Breakdown
The Price Lag Factor (PLF) is a momentum indicator designed to identify overextended price movements and gauge market momentum. It is particularly optimized for the crypto market, which is known for its high volatility and rapid trend shifts.
🔎 What is the Price Lag Factor (PLF)?
The PLF measures the difference between long-term and short-term price momentum and scales it dynamically based on recent volatility. This helps traders identify when the market might be overbought or oversold while filtering out noise.
The formula used in the PLF calculation is:
PLF = (Z-Long - Z-Short) / Stdev(PLF)
Where:
Z-long: Z-score of the long-term moving average (50-period by default).
Z-short: Z-score of the short-term moving average (14-period by default).
Stdev(PLF): Standard deviation of the PLF over a longer period (50-period by default).
🧠 How to Interpret the PLF:
1. Trend Direction:
Positive PLF (Green Bars): Indicates bullish momentum. The long-term trend is up, and short-term movements are confirming it.
Negative PLF (Red Bars): Indicates bearish momentum. The long-term trend is down, and short-term movements are consistent with it.
2. Momentum Strength:
PLF near Zero (±0.5): Low momentum; trend direction is not strong.
PLF between ±1 and ±2: Moderate momentum, indicating that the market is moving with strength but not in an overextended state.
PLF beyond ±2: High momentum (overbought/oversold), indicating potential trend exhaustion and a possible reversal.
📈 Trading Strategies:
1. Trend Following:
Bullish Signal:
Enter long when PLF crosses above 0 and remains green.
Confirm with other indicators like RSI or MACD to reduce false signals.
Bearish Signal:
Enter short when PLF crosses below 0 and remains red.
Use trend confirmation (e.g., moving average crossover) for better accuracy.
2. Reversal Trading:
Overbought Signal:
If PLF rises above +2, look for signs of bearish divergence or a reversal pattern to consider a short entry.
Oversold Signal:
If PLF falls below -2, watch for bullish divergence or a support bounce to consider a long entry.
3. Momentum Divergence:
Bullish Divergence:
Price makes a lower low while PLF makes a higher low.
Indicates weakening bearish momentum and a potential bullish reversal.
Bearish Divergence:
Price makes a higher high while PLF makes a lower high.
Signals weakening bullish momentum and a potential bearish reversal.
💡 Best Practices:
Combine with Volume:
Volume spikes during high PLF readings can confirm trend continuation.
Low volume during PLF extremes may hint at false breakouts.
Watch for Extreme Levels:
PLF beyond ±2 suggests overextended price action. Use caution when entering new positions.
Confirm with Other Indicators:
Use with Relative Strength Index (RSI) or Bollinger Bands to get a better sense of overbought/oversold conditions.
Overlay with a moving average to gauge trend consistency.
🚀 Why the PLF Works for Crypto:
Crypto markets are highly volatile and prone to rapid trend changes. The PLF's adaptive scaling ensures it remains relevant regardless of market conditions.
It highlights momentum shifts more accurately than static indicators because it accounts for changing volatility in its calculation.
🚨 Disclaimer for Traders Using the Price Lag Factor (PLF) Indicator:
The Price Lag Factor (PLF) indicator is designed as a technical analysis tool to gauge momentum and identify potential overbought or oversold conditions. However, it should not be relied upon as a sole decision-making factor for trading or investing.
Important Points to Consider:
Market Risk: Trading cryptocurrencies and other financial assets involves significant risk. The PLF may not accurately predict future price movements, especially during unexpected market events.
Indicator Limitations: No technical indicator, including the PLF, is infallible. False signals can occur, particularly in low-volume or highly volatile conditions.
Supplementary Analysis: Always combine PLF insights with other technical indicators, fundamental analysis, and risk management strategies to make informed decisions.
Personal Judgment: Traders should use their own discretion when interpreting PLF signals and never trade based solely on this indicator.
No Guarantees: The PLF is designed for educational and informational purposes only. Past performance is not indicative of future results.
Always perform thorough research and consider consulting with a professional financial advisor before making any trading decisions.
WaveTrend Matrix (1m-1w) – Custom ThresholdsA visual control panel for momentum exhaustion across ten key time-frames.
—
🧬 DNA
This is a fork of LazyBear’s original WaveTrend Oscillator .
The oscillator logic is 100 % intact; I simply stream the values into a compact table so that day- and swing-traders can see the “bigger picture” at a glance.
📈 What does it do?
Calculates WaveTrend on ten granularities: 1m, 3m, 5m, 15m, 30m, 1h, 2h, 4h, 1d, 1w.
Displays the current oscillator print in a color-coded matrix.
• Red = overbought (≥ high threshold)
• Green = oversold (≤ low threshold)
• Gray = neutral / in-range
All thresholds are user-adjustable.
Built on Pine v5, zero repainting, works on any symbol.
🛠 Parameters
Channel Length – WT “n1” (default 10)
Average Length – WT “n2” (default 21)
Red from – overbought cut-off (default +60)
Green under – oversold cut-off (default –60)
🚀 How to use it
1. Apply the indicator to your chart – no extra setup required.
2. Read the matrix top-down before every entry:
• Multiple deep-green rows → market broadly oversold → watch for longs.
• Multiple deep-red rows → market broadly overbought → watch for shorts or stay flat.
3. Combine with your trend filter (EMA-stack, VWAP, structure) to avoid counter-trend trades.
TrendCraft ICT SwiftEdge// The TrendCraft ICT SwiftEdge is a trend-following indicator that combines Simple Moving Averages (SMAs) with Inner Circle Trader (ICT) concepts, specifically Break of Structure (BOS) and Market Structure Shift (MSS), to generate precise buy and sell signals. This unique mashup leverages the strengths of trend confirmation through SMAs and market structure analysis via ICT to help traders identify high-probability trend entries. The indicator is designed to be intuitive, customizable, and suitable for traders of all levels seeking to align with market trends on various timeframes.
//
// ### What It Does
// The indicator plots two SMAs based on the high and low prices of candles to define the trend direction. It colors the SMAs and fills the area between them to visually indicate whether the price is in a bullish (above both SMAs), bearish (below both SMAs), or neutral (between SMAs) state. Simultaneously, it identifies BOS and MSS levels on a user-defined higher timeframe to confirm trend continuation or reversal points. Buy and sell signals are generated when the price closes above/below the latest BOS or MSS level (based on user preference) while also being correctly positioned relative to the SMAs, ensuring alignment with the trend.
//
// ### Why Combine SMAs and ICT?
// SMAs provide a reliable way to gauge trend direction by smoothing price data, but they can lag or generate false signals in choppy markets. ICT's BOS and MSS concepts address this by focusing on key market structure breaks, offering context for significant price movements. By requiring price to close beyond a BOS or MSS level and align with the SMA-defined trend, the TrendCraft ICT SwiftEdge filters out noise and enhances signal reliability. This combination creates a robust system that balances trend-following simplicity with structural market insights, making it ideal for trend traders.
//
// ### How to Use
// 1. **SMA Length**: Adjust the `SMA Length` (default: 20) to control the sensitivity of the SMAs. Shorter lengths react faster to price changes, while longer lengths provide smoother trends.
// 2. **Structure Timeframe**: Set the `Structure Timeframe` to a higher timeframe (e.g., "1H" on a 15M chart) to calculate BOS and MSS levels. This ensures structural signals are based on significant market moves.
// 3. **Chart Timeframe**: Select the `Chart Timeframe` to optimize pivot point calculations for your current chart (e.g., "30M" for a 30-minute chart).
// 4. **Signal Type**: Choose between "BOS" (default) for signals based on trend continuation breaks or "MSS" for signals based on potential reversal points (breakers).
// 5. **Display Options**: Enable/disable `Show Continuation (BOS)` and `Show Breaker (MSS)` to toggle the visibility of BOS and MSS lines. Customize their colors for better chart clarity.
//
// ### Signals
// - **Buy Signal**: Appears when the close price crosses above the latest BOS or MSS level (based on Signal Type) and is above both SMAs, indicating a bullish trend entry. Marked with a green "Buy" label.
// - **Sell Signal**: Appears when the close price crosses below the latest BOS or MSS level (based on Signal Type) and is below both SMAs, indicating a bearish trend entry. Marked with a red "Sell" label.
//
// ### Originality
// The TrendCraft ICT SwiftEdge stands out by integrating the trend-following reliability of SMAs with the structural precision of ICT's BOS and MSS. Unlike standalone SMA or ICT indicators, this script requires both trend alignment and structural confirmation, reducing false signals. The user-selectable Signal Type (BOS or MSS) adds versatility, allowing traders to adapt the indicator to trend-following or counter-trend strategies. Its dynamic timeframe adjustments and visual clarity make it a unique tool for traders seeking to capture trend entries with confidence.
//
// ### Notes
// - Ensure the `Structure Timeframe` is higher than your chart timeframe to avoid calculation issues.
// - Signals are generated only when the trend state changes to avoid redundant signals in the same trend direction.
// - Past performance is not indicative of future results. Always combine this indicator with other analysis and risk management techniques.
Head Hunter HHHead Hunter HH - Advanced Market Structure & Volume Analysis Indicator
This indicator combines volume analysis, price action, and VWAP to identify high-probability trading opportunities across multiple timeframes.
Key Features:
• Smart Volume Analysis: Detects institutional volume patterns using dynamic thresholds
• VWAP-Based Market Structure: Multiple standard deviation bands for precision entry/exit
• Daily Level Integration: Previous day's high, low, close, and current day's open
• Advanced Signal Classification: Regular, Super Strong, and Scalp signals
Signal Types:
1. Regular Signals (White/Purple Triangles)
• Volume-confirmed reversals
• Institutional price levels
• Technical momentum alignment
2. Super Strong Signals (Green/Red Diamonds)
• High-volume breakouts
• Strong momentum confirmation
• Multiple timeframe alignment
3. Scalp Signals (Green/Magenta Circles)
• Quick reversal opportunities
• VWAP deviation analysis
• Volume surge confirmation
Visual Components:
• VWAP with Standard Deviation Bands
• 50 MA (optional)
• Daily Reference Levels
• Color-coded signals based on strength
• Bar color changes on confirmed signals
Best Practices:
• Most effective on higher timeframes (1H+)
• Use with major pairs/instruments
• Combine signals with support/resistance
• Monitor volume confirmation
• Wait for candle close confirmation
This indicator helps identify institutional order flow and high-probability reversal zones by analyzing volume patterns, price action, and market structure, providing traders with multiple confirmation layers before entry.
Note: Results may vary based on market conditions and timeframe selection. Always use proper risk management.
No Wick Candle Finder"No Wick Candle Finder", is a visual that identifies and confirms candlestick patterns with no wicks—a rare but significant type of price action. Here's a breakdown of what it does, how it works, and why traders might find it useful:
This script highlights candles with no wicks and adds an extra layer of confirmation before plotting a signal.
📌 What is a No-Wick Candle?
A "no-wick" candle means:
Bullish (green) no-wick candle:
Open = Low
Close = High
Strong buying pressure from start to end of the candle.
Bearish (red) no-wick candle:
Open = High
Close = Low
Strong selling pressure throughout the candle.
These candles indicate a clear directional move with no retracement during the timeframe.
🧠 Trading Use Cases
Trend Continuation Entry: These candles can signal strong momentum continuation.
Breakout Confirmation: Often appear on breakouts—confirming strength.
Scalping or Intraday: Great for short timeframes where clean moves matter most.
LUX CLARA - EMA + VWAP (No ATR Filter) - v6EMA STRAT SHOUT OUTOUTLIERSSSSS
Overview:
an intraday strategy built around two core principles:
Trend Confirmation using the 50 EMA (Exponential Moving Average) in relation to the VWAP (Volume-Weighted Average Price).
Entry Signals triggered by the 8 EMA crossing the 50 EMA in the direction of that confirmed trend.
Key Logic:
Bullish Trend if the 50 EMA is above VWAP. Only long entries are allowed when the 8 EMA crosses above the 50 EMA during that bullish phase.
Bearish Trend if the 50 EMA is below VWAP. Only short entries are allowed when the 8 EMA crosses below the 50 EMA during that bearish phase.
Intraday Focus: Trades are restricted to a user-defined session window (default 7:30 AM–11:30 AM), aligning entries/exits with peak intraday liquidity.
Exit Rule: Positions close automatically when the 8 EMA crosses back in the opposite direction of the entry.
Why It Works:
EMA + VWAP helps detect both immediate momentum (EMAs) and overall institutional bias (VWAP).
By confining trades to a set intraday window, the strategy aims to capture morning volatility while avoiding choppy afternoon or overnight sessions.
Customization:
Users can adjust EMA lengths, session times, or incorporate stops/targets for additional risk management.
It can be tested on various symbols and intraday timeframes to gauge performance and robustness.
GQT GPT - Volume-based Support & Resistance Zones V2搞钱兔，搞钱是为了更好的生活。
Title: GQT GPT - Volume-based Support & Resistance Zones V2
Overview:
This strategy is implemented in PineScript v5 and is designed to identify key support and resistance zones based on volume-driven fractal analysis on a 1-hour timeframe. It computes fractal high points (for resistance) and fractal low points (for support) using volume moving averages and specific price action criteria. These zones are visually represented on the chart with customizable lines and zone fills.
Trading Logic:
• Entry: The strategy initiates a long position when the price crosses into the support zone (i.e., when the price drops into a predetermined support area).
• Exit: The long position is closed when the price enters the resistance zone (i.e., when the price rises into a predetermined resistance area).
• Time Frame: Trading signals are generated solely from the 1-hour chart. The strategy is only active within a specified start and end date.
• Note: Only long trades are executed; short selling is not part of the strategy.
Visualization and Parameters:
• Support/Resistance Zones: The zones are drawn based on calculated fractal values, with options to extend the lines to the right for easier tracking.
• Customization: Users can configure the appearance, such as line style (solid, dotted, dashed), line width, colors, and label positions.
• Volume Filtering: A volume moving average threshold is used to confirm the fractal signals, enhancing the reliability of the support and resistance levels.
• Alerts: The strategy includes alert conditions for when the price enters the support or resistance zones, allowing for timely notifications.
⸻
搞钱兔，搞钱是为了更好的生活。
标题： GQT GPT - 基于成交量的支撑与阻力区间 V2
概述：
本策略使用 PineScript v5 实现，旨在基于成交量驱动的分形分析，在1小时级别的图表上识别关键支撑与阻力区间。策略通过成交量移动平均线和特定的价格行为标准计算分形高点（阻力）和分形低点（支撑），并以自定义的线条和区间填充形式直观地显示在图表上。
交易逻辑：
• 进场条件： 当价格进入支撑区间（即价格跌入预设支撑区域）时，策略在没有持仓的情况下发出做多信号。
• 离场条件： 当价格进入阻力区间（即价格上升至预设阻力区域）时，持有多头头寸则会被平仓。
• 时间范围： 策略的信号仅基于1小时级别的图表，并且仅在指定的开始日期与结束日期之间生效。
• 备注： 本策略仅执行多头交易，不进行空头操作。
可视化与参数设置：
• 支撑/阻力区间： 根据计算得出的分形值绘制支撑与阻力线，可选择将线条延伸至右侧，便于后续观察。
• 自定义选项： 用户可以调整线条样式（实线、点线、虚线）、线宽、颜色及标签位置，以满足个性化需求。
• 成交量过滤： 策略使用成交量移动平均阈值来确认分形信号，提高支撑和阻力区间的有效性。
• 警报功能： 当价格进入支撑或阻力区间时，策略会触发警报条件，方便用户及时关注市场变化。
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Reversal + Confirm ZonesThis script is written in Pine Script (version 5) for TradingView and creates an indicator called **"Reversal + Confirm Zones"**. It overlays visual zones on a price chart to identify potential reversal points and confirmation signals for trading. The indicator combines **Bollinger Bands** and **RSI** to detect overbought/oversold conditions (reversal zones) and uses **EMA crosses** and **MACD zero-line crosses** to confirm bullish or bearish trends. Below is a detailed explanation:
---
### **1. Purpose**
- The script highlights:
- **Reversal Zones**: Areas where the price might reverse due to being overbought (green) or oversold (red).
- **Confirmation Zones**: Areas where a trend reversal is confirmed using EMA and MACD signals (green for bullish, red for bearish).
- It provides visual backgrounds and alerts to assist traders in spotting potential trade setups.
---
### **2. Components**
The script is divided into two main parts: **Reversal Logic** and **Confirmation Logic**.
---
### **3. Reversal Logic (Red & Green Zones)**
#### **Bollinger Bands**
- **Parameters**:
- Length: 20 periods.
- Source: Closing price (`close`).
- Multiplier: 2.0 (standard deviations).
- **Calculation**:
- `basis`: 20-period Simple Moving Average (SMA).
- `dev`: 2 times the standard deviation of the price over 20 periods.
- `upper`: `basis + dev` (upper band).
- `lower`: `basis - dev` (lower band).
- **Purpose**: Identifies when the price moves outside the normal range (beyond 2 standard deviations).
#### **Relative Strength Index (RSI)**
- **Parameters**:
- Length: 14 periods.
- Low Threshold: 30 (oversold).
- High Threshold: 70 (overbought).
- **Calculation**: `rsiValue = ta.rsi(close, rsiLength)`.
- **Purpose**: Measures momentum to confirm overbought or oversold conditions.
#### **Zone Conditions**
- **Red Zone (Oversold)**:
- Condition: `close < lower` (price below lower Bollinger Band) AND `rsiValue < rsiLowThreshold` (RSI < 30).
- Visual: Light red background (`color.new(color.red, 80)`).
- Alert: "Deep Oversold Signal triggered!".
- **Green Zone (Overbought)**:
- Condition: `close > upper` (price above upper Bollinger Band) AND `rsiValue > rsiHighThreshold` (RSI > 70).
- Visual: Light green background (`color.new(color.green, 80)`).
- Alert: "Deep Overbought Signal triggered!".
#### **Interpretation**
- Red Zone: Suggests the price is oversold and may reverse upward.
- Green Zone: Suggests the price is overbought and may reverse downward.
---
### **4. Confirmation Logic (EMA and MACD Crosses)**
#### **Exponential Moving Averages (EMAs)**
- **Parameters**:
- Short EMA Length: 9 periods (user adjustable).
- Long EMA Length: 21 periods (user adjustable).
- **Calculation**:
- `emaShort = ta.ema(close, emaShortLength)`.
- `emaLong = ta.ema(close, emaLongLength)`.
- **Conditions**:
- **Bullish EMA Cross**: `emaCrossBullish = ta.crossover(emaShort, emaLong)` (9 EMA crosses above 21 EMA).
- **Bearish EMA Cross**: `emaCrossBearish = ta.crossunder(emaShort, emaLong)` (9 EMA crosses below 21 EMA).
#### **MACD**
- **Parameters**:
- Fast Length: 12 periods (user adjustable).
- Slow Length: 26 periods (user adjustable).
- Signal Smoothing: 9 periods (user adjustable).
- **Calculation**:
- ` = ta.macd(close, macdFastLength, macdSlowLength, macdSignalSmoothing)`.
- Only the MACD line and signal line are used; the histogram is ignored (`_`).
- **Conditions**:
- **Bullish MACD Cross**: `macdCrossBullish = ta.crossover(macdLine, 0)` (MACD crosses above zero).
- **Bearish MACD Cross**: `macdCrossBearish = ta.crossunder(macdLine, 0)` (MACD crosses below zero).
#### **Combined Confirmation Conditions**
- **Bullish Confirmation**:
- Condition: `bullishConfirmation = emaCrossBullish and macdCrossBullish`.
- Visual: Very light green background (`color.new(color.green, 90)`).
- Meaning: A bullish trend is confirmed when the 9 EMA crosses above the 21 EMA AND the MACD crosses above zero.
- **Bearish Confirmation**:
- Condition: `bearishConfirmation = emaCrossBearish and macdCrossBearish`.
- Visual: Very light red background (`color.new(color.red, 90)`).
- Meaning: A bearish trend is confirmed when the 9 EMA crosses below the 21 EMA AND the MACD crosses below zero.
---
### **5. Visual Outputs**
- **Reversal Zones**:
- Red background for oversold conditions.
- Green background for overbought conditions.
- **Confirmation Zones**:
- Light green background for bullish confirmation.
- Light red background for bearish confirmation.
- Note: The script does not plot the Bollinger Bands, EMAs, or MACD lines—only the background zones are visualized.
---
### **6. Alerts**
- **Deep Oversold Alert**: Triggers when the red zone condition is met.
- **Deep Overbought Alert**: Triggers when the green zone condition is met.
- No alerts are set for the confirmation zones (EMA/MACD crosses).
---
### **7. How It Works**
1. **Reversal Detection**:
- The script uses Bollinger Bands and RSI to flag extreme price levels (red for oversold, green for overbought).
- These zones suggest potential reversals but are not confirmed yet.
2. **Trend Confirmation**:
- EMA crosses (9/21) and MACD zero-line crosses provide confirmation of a trend direction.
- Bullish confirmation (green) occurs when both indicators align upward.
- Bearish confirmation (red) occurs when both indicators align downward.
3. **Trading Strategy**:
- Look for a red zone (oversold) followed by a bullish confirmation for a potential long entry.
- Look for a green zone (overbought) followed by a bearish confirmation for a potential short entry.
---
### **8. How to Use**
1. Add the script to TradingView.
2. Adjust inputs (EMA lengths, MACD settings) if desired.
3. Monitor the chart:
- Red zones indicate oversold conditions—watch for a potential upward reversal.
- Green zones indicate overbought conditions—watch for a potential downward reversal.
- Light green/red backgrounds confirm the trend direction after a reversal zone.
4. Set up alerts for oversold/overbought conditions to catch reversal signals early.
---
### **9. Key Features**
- **Dual Purpose**: Combines reversal detection (Bollinger Bands + RSI) with trend confirmation (EMA + MACD).
- **Visual Simplicity**: Uses background colors instead of plotting lines, keeping the chart clean.
- **Customizable**: Allows users to tweak EMA and MACD periods.
- **Alerts**: Notifies users of extreme conditions for timely action.
---
### **10. Limitations**
- No plotted indicators (e.g., Bollinger Bands, EMAs, MACD) for visual reference—relies entirely on background shading.
- Confirmation signals (EMA/MACD) may lag behind reversal zones, potentially missing fast reversals.
- No alerts for confirmation zones, limiting real-time notification of trend confirmation.
This script is ideal for traders who want a straightforward way to spot potential reversals and confirm them with trend-following indicators, all overlaid on the price chart.
FVG Visual Trading ToolHow to Use the FVG Tool
1. Identify the FVG Zone
Bullish FVG: Look for green boxes that represent potential support zones. These are areas where price is likely to retrace before continuing upward.
Bearish FVG: Look for red boxes that represent potential resistance zones. These are areas where price is likely to retrace before continuing downward.
2. Set Up Your Trade
Entry: Place a limit order at the retracement zone (inside the FVG box). This ensures you enter the trade when the price retraces into the imbalance.
Stop-Loss (SL): Place your stop-loss just below the FVG box for bullish trades or just above the FVG box for bearish trades. The tool provides a suggested SL level.
Take-Profit (TP): Set your take-profit level at a 2:1 risk-reward ratio (or higher). The tool provides a suggested target level.
3. Let the Trade Run
Once your trade is set up, let it play out. Avoid micromanaging the trade unless market conditions change drastically.
Step-by-Step Example
Bullish FVG Trade
Identify the FVG:
A green box appears, indicating a bullish FVG.
The tool provides the target price (e.g., 0.6371) and the stop-loss level (e.g., 0.6339).
Set Up the Trade:
Place a limit buy order at the retracement zone (inside the green box).
Set your stop-loss just below the FVG box (e.g., 0.6339).
Set your take-profit at a 2:1 risk-reward ratio or the suggested target (e.g., 0.6371).
Monitor the Trade:
Wait for the price to retrace into the FVG zone and trigger your limit order.
Let the trade run until it hits the take-profit or stop-loss.
Bearish FVG Trade
Identify the FVG:
A red box appears, indicating a bearish FVG.
The tool provides the target price and the stop-loss level.
Set Up the Trade:
Place a limit sell order at the retracement zone (inside the red box).
Set your stop-loss just above the FVG box.
Set your take-profit at a 2:1 risk-reward ratio or the suggested target.
Monitor the Trade:
Wait for the price to retrace into the FVG zone and trigger your limit order.
Let the trade run until it hits the take-profit or stop-loss.
Key Features of the Tool in Action
Visual Clarity:
The green and red boxes clearly show the FVG zones, making it easy to identify potential trade setups.
Labels provide the target price and stop-loss level for quick decision-making.
Risk-Reward Management:
The tool encourages disciplined trading by providing predefined SL and TP levels.
A 2:1 risk-reward ratio ensures that profitable trades outweigh losses.
Hands-Off Execution:
By placing limit orders, you can let the trade execute automatically without needing to monitor the market constantly.
Best Practices
Trade in the Direction of the Trend:
Use higher timeframes (e.g., 4-hour or daily) to identify the overall trend.
Focus on bullish FVGs in an uptrend and bearish FVGs in a downtrend.
Combine with Confirmation Signals:
Look for additional confirmation, such as candlestick patterns (e.g., engulfing candles) or indicator signals (e.g., RSI, MACD).
Adjust Parameters for Volatility:
For highly volatile markets, consider increasing the stop-loss percentage to avoid being stopped out prematurely.
Avoid Overtrading:
Not every FVG is a good trading opportunity. Be selective and only trade setups that align with your strategy.
Backtest and Optimize:
Use historical data to test the tool and refine your approach before trading live.
Common Mistakes to Avoid
Entering Without Confirmation:
Wait for price to retrace into the FVG zone before entering a trade.
Avoid chasing trades that have already moved away from the zone.
Ignoring Risk Management:
Always use a stop-loss to protect your account.
Stick to a consistent risk-reward ratio.
Trading Against the Trend:
Avoid taking trades that go against the prevailing market trend unless there is strong evidence of a reversal.
Final Thoughts
The FVG Visual Trading Tool is a powerful aid for identifying high-probability trade setups. By following the steps outlined above, you can use the tool to trade with confidence and discipline. Remember, no tool guarantees success, so always combine it with sound trading principles and proper risk management
Equity Curve with Trend Indicator (Long & Short) - SimulationOverview:
Market Regime Detector via Virtual Equity Curve is a unique indicator that simulates the performance of a trend-following trading system—incorporating both long and short trades—to help you identify prevailing market regimes. By generating a “virtual equity” curve based on simple trend signals and applying trend analysis directly on that curve, this indicator visually differentiates trending regimes from mean-reverting (or sideways) periods. The result is an intuitive display where green areas indicate a trending (bullish) regime (i.e., where trend-following strategies are likely to perform well) and red areas indicate a mean-reverting (bearish) regime.
Features:
Simulated Trade Performance:
Uses a built-in trend-following logic (a simple 10/50 SMA crossover example) to simulate both long and short trades. This simulation creates a virtual equity curve that reflects the cumulative performance of the system over time.
Equity Trend Analysis:
Applies an Exponential Moving Average (EMA) to the simulated equity curve to filter short-term noise. The EMA acts as a trend filter, enabling the indicator to determine if the equity curve is in an upward (trending) or downward (mean-reverting) phase.
Dynamic Visual Regime Detection:
Fills the area between the equity curve and its EMA with green when the equity is above the EMA (indicating a healthy trending regime) and red when below (indicating a mean-reverting or underperforming regime).
Customizable Parameters:
Easily adjust the initial capital, the length of the equity EMA, and other settings to tailor the simulation and visual output to your trading style and market preferences.
How It Works:
Trade Simulation:
The indicator generates trading signals using a simple SMA crossover:
When the 10-period SMA is above the 50-period SMA, it simulates a long entry.
When the 10-period SMA is below the 50-period SMA, it simulates a short entry. The virtual equity is updated bar-by-bar based on these simulated positions.
Equity Trend Filtering:
An EMA is calculated on the simulated equity curve to smooth out fluctuations. The relative position of the equity curve versus its EMA is then used as a proxy for the market regime:
Bullish Regime: Equity is above its EMA → fill area in green.
Bearish Regime: Equity is below its EMA → fill area in red.
Visualization:
The indicator plots:
A gray line representing the simulated equity curve.
An orange line for the EMA of the equity curve.
A dynamic fill between the two lines, colored green or red based on the prevailing regime.
Inputs & Customization:
Initial Capital: Set your starting virtual account balance (default: 10,000 USD).
Equity EMA Length: Specify the lookback period for the EMA applied to the equity curve (default: 30).
Trend Signal Logic:
The current implementation uses a simple SMA crossover for demonstration purposes. Users can modify or replace this logic with their own trend-following indicator to tailor the simulation further.
BBr1 Candle Range Volitility Gap IndicatorModified Candle Range Volatility Gap Indicator
1. Useful to analyze bars body and wicks and volatility of security.
2. Added a Percentage Option - easier to analyze across different securities.
2. Added a Standard Deviation ("1 std dev= 68.2%, 2 std dev=95.4%, 3 std dev=99.7%, etc") based upon user defined lookback period.
3. Added the ability to include Gaps in Analysis. (Gaps are when the prior closing cost does not equal opening price)
4. Possible Uses setting up stop losses, trailing entries/exits (inside range or outside range).
5. Use it with other indicators in determining if to make an entry or close entry.
Reposted Original Description by © ka66 Kamal Advani
Visually shows the Body Range (open to close) and Candle Range (high to low).
Semi-transparent overlapping area is the full Candle Range, and fully-opaque smaller area is the Body Range. For aesthetics and visual consistency, Candle Range follows the direction of the Body Range, even though technically it's always positive (high - low).
The different plots for each range type also means the UI will allow deselecting one or the other as needed. For example, some strategies may care only about the Body Range, rather than the entire Candle Range, so the latter can be hidden to reduce noise.
Threshold horizontal lines are plotted, so the trader can modify these high and low levels as needed through the user interface. These need to be configured to match the instrument's price range levels for the timeframe. The defaults are pretty arbitrary for +/- 0.0080 (80 pips in a 4-decimal place forex pair). Where a range reaches or exceeds a threshold, it's visually marked as well with a shape at the Body or Candle peak, to assist with quicker visual potential setup scanning, for example, to anticipate a following reversal or continuation.
Opening Range BoxIndicator Name: Opening Range Box with Extensions
Author: YanivBull
Description:
The Opening Range Box with Extensions is a powerful tool designed to visualize the trading range established during the first 30 minutes of a market session, a critical period for setting the day's trend. This indicator plots a box representing the high and low prices formed within this opening range, with dashed extension lines projecting these levels forward throughout the session.
Its primary purpose is to identify the boundaries of the initial trend at the start of trading. When these boundaries are breached, it serves as a trigger for potential trading opportunities: a breakout above the box high signals a possible long entry, while a breakdown below the box low indicates a potential short entry. The indicator also includes historical boxes for up to 5 previous days (configurable), allowing traders to analyze past opening ranges and their extensions for context and pattern recognition.
Key Features:
Customizable session start time (hour and minute) to adapt to various markets (e.g., NYSE, DAX, etc.).
Displays the current session's opening range box in blue and historical boxes in gray.
Plots dashed extension lines from the high and low of each box, limited to 500 bars or the end of the trading day.
Adjustable number of historical days (1-20, default 5).
Usage:
Set the Session Start Hour and Session Start Minute according to your market's opening time (relative to your chart's timezone, e.g., UTC+2). Watch for price action around the box boundaries—breakouts above the high or below the low can be used as signals for initiating long or short trades, respectively. Combine with other technical analysis tools for confirmation.
This indicator is ideal for day traders looking to capitalize on early session momentum and breakout strategies.
True Strength Index with Zones & AlertsKey Features:
True Strength Index (TSI) Calculation
Uses double-smoothed exponential moving averages (EMA) to calculate TSI.
A signal line (EMA of TSI) helps confirm trends.
Dynamic Color Coding for TSI Line
Green: TSI is above the signal line (Bullish).
Red: TSI is below the signal line (Bearish).
Crossover & Crossunder Signals
Bullish Crossover (TSI crosses above Signal Line) → Green Circle.
Bearish Crossunder (TSI crosses below Signal Line) → Red Circle.
Alerts for Trading Signals
Buy Alert: TSI crosses above the signal line.
Sell Alert: TSI crosses below the signal line.
Overbought & Oversold Zones
Overbought: Between 40 and 50 (Red Zone).
Oversold: Between -40 and -50 (Green Zone).
Highlighted Background when TSI enters these zones.
Neutral Line at 0
Helps determine trend direction and momentum shifts.
How to Use These Values:
• TSI Crosses Above Signal Line → Bullish entry.
• TSI Crosses Below Signal Line → Bearish entry.
• Overbought (+40 to +50) & Oversold (-40 to -50) zones → Watch for trend reversals.
• Divergence Signals → If price makes a new high/low but TSI doesn’t, momentum is weakening.
Uptrick: FRAMA Matrix RSIUptrick: FRAMA Matrix RSI
Introduction
The Uptrick: FRAMA Matrix RSI is a momentum-based indicator that integrates the Relative Strength Index (RSI) with the Fractal Adaptive Moving Average (FRAMA). By applying FRAMA's adaptive smoothing to RSI—and further refining it with a Zero-Lag Moving Average (ZLMA)—this script creates a refined and reliable momentum oscillator. The indicator now includes enhanced divergence detection, potential reversal signals, customizable buy/sell signal options, an internal stats table, and a fully customizable bar coloring system for an enhanced visual trading experience.
Why Combine RSI with FRAMA
Traditional RSI is a well-known momentum indicator but has several limitations. It is highly sensitive to price fluctuations, often generating false signals in choppy or volatile markets. FRAMA, in contrast, adapts dynamically to price changes by adjusting its smoothing factor based on market conditions.
By integrating FRAMA into RSI calculations, this indicator reduces noise while preserving RSI's ability to track momentum, adapts to volatility by reducing lag in trending markets and smoothing out choppiness in ranging conditions, enhances trend-following capability for more reliable momentum shifts, and refines overbought and oversold signals by adjusting to the current market structure.
With the new enhancements, such as a manual alpha input, noise filtering, divergence detection, and multiple buy/sell signal options, the indicator offers even greater flexibility and precision for traders. This combination improves the standard RSI by making it more adaptive and responsive to market changes.
Originality
This indicator is unique because it applies FRAMA's adaptive smoothing technique to RSI, creating a dynamic momentum oscillator that adjusts to different market conditions. Many traditional RSI-based indicators either use fixed smoothing methods like exponential moving averages or employ basic RSI calculations without adjusting for volatility.
This script stands out by integrating several elements, including the fractal dimension-based smoothing of FRAMA to reduce noise while retaining responsiveness, the use of Zero-Lag Moving Average smoothing to enhance trend sensitivity and reduce lag, divergence detection to highlight mismatches between price action and RSI momentum, a noise filter and manual alpha option to prevent minor fluctuations from generating false signals, customizable buy/sell signal options that let traders choose between ZLMA-based or FRAMA RSI-based signals, an internal stats table displaying real-time FRAMA calculations such as fractal dimension and the adaptive alpha factor, and a fully customizable bar coloring system to visually distinguish bullish, bearish, and neutral conditions.
Features
Adaptive FRAMA RSI
The indicator applies FRAMA to RSI values, making the momentum oscillator adaptive to volatility while filtering out noise. Unlike a traditional RSI that reacts equally to all price movements, FRAMA RSI adjusts its smoothing factor based on market structure, making it more effective for identifying true momentum shifts.
Zero-Lag Moving Average (ZLMA)
A smoothing technique that minimizes lag while preserving the responsiveness of price movements. It is applied to the FRAMA RSI to further refine signals and ensure smoother trend detection.
Bullish and Bearish Threshold Crossovers
This system compares FRAMA RSI to a user-defined threshold (default is 50). When FRAMA RSI moves above the threshold, it indicates bullish momentum, while movement below signals bearish conditions. The enhanced noise filter ensures that only significant moves trigger signals.
Noise Filter and Manual Alpha
A new noise filter input prevents tiny fluctuations from triggering false signals. In addition, a manual alpha option allows traders to override the automatically computed smoothing factor with a custom value, providing extra control over the indicator’s sensitivity.
Divergence Detection
The indicator identifies divergence patterns by comparing FRAMA RSI pivots to price action. Bullish divergence occurs when price makes a lower low while FRAMA RSI makes a higher low, and bearish divergence occurs when price makes a higher high while FRAMA RSI makes a lower high. These signals can help traders anticipate potential reversals.
Reversal Signals
Labels appear on the chart when FRAMA RSI confirms classic RSI overbought (70) or oversold (30) conditions, providing visual cues for potential trend reversals.
Buy and Sell Signal Options
Traders can now choose between two signal-generation methods. ZLMA-based signals trigger when the ZLMA of FRAMA RSI crosses key overbought (70) or oversold (30) levels, while FRAMA RSI-based signals trigger when FRAMA RSI itself crosses these levels. This added flexibility allows users to tailor the indicator to their preferred trading style.
ZLMA:
FRAMA:
Customizable Alerts
Alerts notify traders when FRAMA RSI crosses key levels, divergence signals occur, reversal conditions are met, or buy/sell signals trigger. This ensures that important trading events are not missed.
Fully Customizable Bar Coloring System
Users can color bars based on different conditions, enhancing visual clarity. Bar coloring modes include: FRAMA RSI threshold (bars change color based on whether FRAMA RSI is above or below the threshold), ZLMA crossover (bars change when ZLMA crosses overbought or oversold levels), buy/sell signals (bars change when official signals trigger), divergence (bars highlight when bullish or bearish divergence is detected), and reversals (bars indicate when RSI reaches overbought or oversold conditions confirmed by FRAMA RSI). The system also remembers the last applied bar color, ensuring a smooth visual transition.
Input Parameters and Features
Core Inputs
RSI Length (default: 14) defines the period for RSI calculations.
FRAMA Lookback (default: 16) determines the length for the FRAMA smoothing function.
RSI Bull Threshold (default: 50) sets the level above which the market is considered bullish and below which it is bearish.
Noise Filter (default: 1.0) ensures that small fluctuations do not trigger false bullish or bearish signals.
Additional Features
Show Bull and Bear Alerts (default: true) enables notifications when FRAMA RSI crosses the threshold.
Enable Divergence Detection (default: false) highlights bullish and bearish divergences based on price and FRAMA RSI pivots.
Show Potential Reversal Signals (default: false) identifies overbought (70) and oversold (30) levels as possible trend reversal points.
Buy and Sell Signal Option (default: ZLMA) allows traders to choose between ZLMA-based signals or FRAMA RSI-based signals for trade entry.
ZLMA Enhancements
ZLMA Length (default: 14) determines the period for the Zero-Lag Moving Average applied to FRAMA RSI.
Visualization Options
Show Internal Stats Table (default: false) displays real-time FRAMA calculations, including fractal dimension and the adaptive alpha smoothing factor.
Show Threshold FRAMA Signals (default: false) plots buy and sell labels when FRAMA RSI crosses the threshold level.
How It Works
FRAMA Calculation
FRAMA dynamically adjusts smoothing based on the price fractal dimension. The alpha smoothing factor is derived from the fractal dimension or can be set manually to maintain responsiveness.
RSI with FRAMA Smoothing
RSI is calculated using the user-defined lookback period. FRAMA is then applied to the RSI to make it more adaptive to volatility. Optionally, ZLMA is applied to further refine the signals and reduce lag.
Bullish and Bearish Threshold Crosses
A bullish condition occurs when FRAMA RSI crosses above the threshold, while a bearish condition occurs when it falls below. The noise filter ensures that only significant trend shifts generate signals.
Buy and Sell Signal Options
Traders can choose between ZLMA crossovers or FRAMA RSI crossovers as the basis for buy and sell signals, offering flexibility in trade entry timing.
Divergence Detection
The indicator identifies divergences where price action and FRAMA RSI momentum do not align, potentially signaling upcoming reversals.
Reversal Signal Labels
When classic RSI overbought or oversold levels are confirmed by FRAMA RSI conditions, reversal labels are added on the chart to highlight potential exhaustion points.
Bar Coloring System
Bars are dynamically colored based on various conditions such as RSI thresholds, ZLMA crossovers, buy/sell signals, divergence, and reversals, allowing traders to quickly interpret market sentiment.
Alerts and Internal Stats
Customizable alerts notify traders of key events, and an optional internal stats table displays real-time calculations (fractal dimension, alpha value, and RSI values) to help users understand the underlying dynamics of the indicator.
Summary
The Uptrick: FRAMA Matrix RSI offers an enhanced approach to momentum analysis by combining RSI with adaptive FRAMA smoothing and additional layers of signal refinement. The indicator now includes adaptive RSI smoothing to reduce noise and improve responsiveness, Zero-Lag Moving Average filtering to minimize lag, divergence and reversal detection to identify potential turning points, customizable buy/sell signal options that let traders choose between different signal methodologies, a fully customizable bar coloring system to visually distinguish market conditions, and an internal stats table for real-time insight into FRAMA calculation parameters.
Whether used for trend confirmation, divergence detection, or momentum-based strategies, this indicator provides a powerful and adaptive approach to trading.
Disclaimer
This script is for informational and educational purposes only. Trading involves risk, and past performance does not guarantee future results. Always conduct proper research and consult with a financial advisor before making trading decisions.
Multi-Timeframe RSI Grid Strategy with ArrowsKey Features of the Strategy
Multi-Timeframe RSI Analysis:
The strategy calculates RSI values for three different timeframes:
The current chart's timeframe.
Two higher timeframes (configurable via higher_tf1 and higher_tf2 inputs).
It uses these RSI values to identify overbought (sell) and oversold (buy) conditions.
Grid Trading System:
The strategy uses a grid-based approach to scale into trades. It adds positions at predefined intervals (grid_space) based on the ATR (Average True Range) and a grid multiplication factor (grid_factor).
The grid system allows for pyramiding (adding to positions) up to a maximum number of grid levels (max_grid).
Daily Profit Target:
The strategy has a daily profit target (daily_target). Once the target is reached, it closes all open positions and stops trading for the day.
Drawdown Protection:
If the open drawdown exceeds 2% of the account equity, the strategy closes all positions to limit losses.
Reverse Signals:
If the RSI conditions reverse (e.g., from buy to sell or vice versa), the strategy closes all open positions and resets the grid.
Visualization:
The script plots buy and sell signals as arrows on the chart.
It also plots the RSI values for the current and higher timeframes, along with overbought and oversold levels.
How It Works
Inputs:
The user can configure parameters like RSI length, overbought/oversold levels, higher timeframes, grid spacing, lot size multiplier, maximum grid levels, daily profit target, and ATR length.
RSI Calculation:
The RSI is calculated for the current timeframe and the two higher timeframes using ta.rsi().
Grid System:
The grid system uses the ATR to determine the spacing between grid levels (grid_space).
When the price moves in the desired direction, the strategy adds positions at intervals of grid_space, increasing the lot size by a multiplier (lot_multiplier) for each new grid level.
Entry Conditions:
A buy signal is generated when the RSI is below the oversold level on all three timeframes.
A sell signal is generated when the RSI is above the overbought level on all three timeframes.
Position Management:
The strategy scales into positions using the grid system.
It closes all positions if the daily profit target is reached or if a reverse signal is detected.
Visualization:
Buy and sell signals are plotted as arrows on the chart.
RSI values for all timeframes are plotted, along with overbought and oversold levels.
Example Scenario
Suppose the current RSI is below 30 (oversold), and the RSI on the 60-minute and 240-minute charts is also below 30. This triggers a buy signal.
The strategy enters a long position with a base lot size.
If the price moves against the position by grid_space, the strategy adds another long position with a larger lot size (scaled by lot_multiplier).
This process continues until the maximum grid level (max_grid) is reached or the daily profit target is achieved.
Key Variables
grid_level: Tracks the current grid level (number of positions added).
last_entry_price: Tracks the price of the last entry.
base_size: The base lot size for the initial position.
daily_profit_target: The daily profit target in percentage terms.
target_reached: A flag to indicate whether the daily profit target has been achieved.
Potential Use Cases
This strategy is suitable for traders who want to combine RSI-based signals with a grid trading approach to capitalize on mean-reverting price movements.
It can be used in trending or ranging markets, depending on the RSI settings and grid parameters.
Limitations
The grid trading system can lead to significant drawdowns if the market moves strongly against the initial position.
The strategy relies heavily on RSI, which may produce false signals in strongly trending markets.
The daily profit target may limit potential gains in highly volatile markets.
Customization
You can adjust the input parameters (e.g., RSI length, overbought/oversold levels, grid spacing, lot multiplier) to suit your trading style and market conditions.
You can also modify the drawdown protection threshold or add additional filters (e.g., volume, moving averages) to improve the strategy's performance.
In summary, this script is a sophisticated trading strategy that combines RSI-based signals with a grid trading system to manage entries, exits, and position sizing. It includes features like daily profit targets, drawdown protection, and multi-timeframe analysis to enhance its robustnes
ILD inverse liquidity Divergence StrategyDetermine Bias (Bullish):
H4 chart shows an uptrend with higher highs and higher lows.
Identify a swing high where resting liquidity (buy-side) is likely above.
Look for SMT Divergence (Lower Timeframes):
On M15, EUR/USD makes a higher high while GBP/USD fails to, signaling potential manipulation.
Spot an Inverse Fair Value Gap (IFVG):
Price has impulsively moved up, leaving a fair value gap below.
Wait for a Retracement (Entry):
Price retraces into the IFVG near a Fibonacci 61.8% retracement level.
Enter long here with a SL below the gap.
Set Risk-to-Reward:
SL = 10 pips below the entry.
TP = 20 pips above (1:2 R:R), targeting a resting liquidity zone above a recent swing high.
Monitor and Exit:
Price moves into the liquidity zone, hits TP, and completes the trade.
One Shot One Kill ICT [TradingFinder] Liquidity MMXM + CISD OTE🔵 Introduction
The One Shot One Kill trading setup is one of the most advanced methods in the field of Smart Money Concept (SMC) and ICT. Designed with a focus on concepts such as Liquidity Hunt, Discount Market, and Premium Market, this strategy emphasizes precise Price Action analysis and market structure shifts. It enables traders to identify key entry and exit points using a structured Trading Model.
The core process of this setup begins with a Liquidity Hunt. Initially, the price targets areas like the Previous Day High and Previous Day Low to absorb liquidity. Once the Change in State of Delivery(CISD)is broken, the market structure shifts, signaling readiness for trade entry. At this stage, Fibonacci retracement levels are drawn, and the trader enters a position as the price retraces to the 0.618 Fibonacci level.
Part of the Smart Money approach, this setup combines liquidity analysis with technical tools, creating an opportunity for traders to enter high-accuracy trades. By following this setup, traders can identify critical market moves and capitalize on reversal points effectively.
Bullish :
Bearish :
🔵 How to Use
The One Shot One Kill setup is a structured and advanced trading strategy based on Liquidity Hunt, Fibonacci retracement, and market structure shifts (CISD). With a focus on precise Price Action analysis, this setup helps traders identify key market movements and plan optimal trade entries and exits. It operates in two scenarios: Bullish and Bearish, each with distinct steps.
🟣 Bullish One Shot One Kill
In the Bullish scenario, the process starts with the price moving toward the Previous Day Low, where liquidity is absorbed. At this stage, retail sellers are trapped as they enter short trades at lower levels. Following this, the market reverses upward and breaks the CISD, signaling a shift in market structure toward bullishness.
Once this shift is identified, traders draw Fibonacci levels from the lowest point to the highest point of the move. When the price retraces to the 0.618 Fibonacci level, conditions for a buy position are met. The target for this trade is typically the Previous Day High or other significant liquidity zones where major buyers are positioned, offering a high probability of price reversal.
🟣 Bearish One Shot One Kill
In the Bearish scenario, the price initially moves toward the Previous Day High to absorb liquidity. Retail buyers are trapped as they enter long trades near the highs. After the liquidity hunt, the market reverses downward, breaking the CISD, which signals a bearish shift in market structure. Following this confirmation, Fibonacci levels are drawn from the highest point to the lowest point of the move.
When the price retraces to the 0.618 Fibonacci level, a sell position is initiated. The target for this trade is usually the Previous Day Low or other key liquidity zones where major sellers are active.
This setup provides a precise and logical framework for traders to identify market movements and enter trades at critical reversal points.
🔵 Settings
🟣 CISD Logical settings
Bar Back Check : Determining the return of candles to identify the CISD level.
CISD Level Validity : CISD level validity period based on the number of candles.
🟣 LIQUIDITY Logical settings
Swing period : You can set the swing detection period.
Max Swing Back Method : It is in two modes "All" and "Custom". If it is in "All" mode, it will check all swings, and if it is in "Custom" mode, it will check the swings to the extent you determine.
Max Swing Back : You can set the number of swings that will go back for checking.
🟣 CISD Display settings
Displaying or not displaying swings and setting the color of labels and lines.
🟣 LIQUIDITY Display settings
Displaying or not displaying swings and setting the color of labels and lines.
🔵 Conclusion
The One Shot One Kill setup is one of the most effective and well-structured trading strategies for identifying and capitalizing on key market movements. By incorporating concepts such as Liquidity Hunt, CISD, and Fibonacci retracement, this setup allows traders to enter trades with high precision at optimal points.
The strategy emphasizes detailed Price Action analysis and the identification of Smart Money behavior, helping traders to execute successful trades against the general market trend.
With a focus on identifying liquidity in the Previous Day High and Low and aligning it with Fibonacci retracement levels, this setup provides a robust framework for entering both bullish and bearish trades.
The combination of liquidity analysis and Fibonacci retracement at the 0.618 level enables traders to minimize risk and exploit major market moves effectively.
Ultimately, success with the One Shot One Kill setup requires practice, patience, and strict adherence to its rules. By mastering its concepts and focusing on high-probability setups, traders can enhance their decision-making skills and build a sustainable and professional trading approach.
Follow Through Day (FTD) + Sweep [TrendX_]The Follow Through Day (FTD) + Sweep indicator is a Trend-following tool mixing William O'Neil's original FTD concept and Liquidity concept. This indicator helps you identify potential subsequent bullish trends with greater precision by combining volume analysis, price action, and liquidity concepts.
💎 FEATURES
Follow Through Day Candle (FTD Candle)
The FTD, pioneered by William O'Neil, serves as a reliable signal for identifying the beginning of new bull markets. It's particularly valuable because it combines multiple market factors - price action, volume, and timing - to confirm genuine market reversals rather than temporary bounces.
The power of the FTD lies in its ability to distinguish between ordinary market fluctuations and significant trend changes. By requiring specific criteria to be met across multiple sessions, it helps filter out false signals and identifies high-probability reversal points where institutional investors are likely beginning to accumulate positions.
Sweep Area
The Sweep area feature enhances the traditional FTD concept by incorporating modern liquidity analysis. This overlay identifies zones where large market participants are likely to trigger stop losses before continuing the trend. These areas often represent optimal entry points for traders looking to join the new uptrend with reduced risk.
🔎 BREAKDOWN
FTD Candle
The FTD formation process occurs in two distinct phases: Setup and Completion.
Setup Phase
Strong Market Decline
The market must first experience a significant downtrend
This selling pressure helps clear out weak hands and creates oversold conditions
The decline creates the potential energy for a powerful reversal
First Recovery Session
Marks the initial sign of buying pressure emerging
Often characterized by a strong reversal candle
Represents the first indication that selling pressure may be exhausting
Recovery Confirmation
The second and third days must maintain prices above the new pivot low
This consolidation period helps confirm the validity of the initial bounce
Shows that sellers are no longer in control of price action
Completion Phase:
Supply Test Session
Low volume indicates diminishing selling pressure
Price remains above the pivot low
Creates the foundation for institutional buyers to begin accumulating
Breakout Day
Price increase exceeds average profit of bullish candles
Volume increases by at least 15% compared to previous session
Shows strong institutional commitment to the new uptrend
Timing Window
Must occur between the 4th and 8th candle after First Recovery Session
This specific timing helps confirm the sustainability of the reversal
Based on O'Neil's research of historical market bottoms
FTD Sweep
The Post-FTD Phase introduces the Sweep concept, which is crucial for understanding how large market participants operate. This feature leverages the liquidity concept because institutional traders often need to trigger stop losses to accumulate larger positions at better prices. This helps:
Create liquidity pools for large position entries
Shake out weak hands before continuing the trend
Test the strength of the new trend by absorbing selling pressure
⚙️ USAGE
Sweep + TP & SL Strategy
Example: BTCUSDT (1D) - Replay back to 9th November 2024
After an FTD candle forms, traders can adopt a systematic approach to enhance their trading strategy. First, they should determine the swing range and convert the post-FTD zone into concrete stop loss and take profit levels, which are based on the price action during the FTD formation. Next, traders should wait for a sweep formation, as this indicates that institutional players are accumulating positions. A quick price rejection from the sweep level should be observed before executing an entry.
The reasoning behind this strategy is rooted in market microstructure. By waiting for the sweep, traders position themselves alongside institutional players who need to build large positions without causing adverse price movement. The sweep creates the liquidity they need, and the subsequent move often represents the true trend continuation.
DISCLAIMER
This indicator is not financial advice, it can only help traders make better decisions. There are many factors and uncertainties that can affect the outcome of any endeavor, and no one can guarantee or predict with certainty what will occur. Therefore, one should always exercise caution and judgment when making decisions based on past performance.
DIN: Dynamic Trend NavigatorDIN: Dynamic Trend Navigator
Overview
The Dynamic Trend Navigator script is designed to help traders identify and capitalize on market trends using a combination of Weighted Moving Averages (WMA), Volume Weighted Average Price (VWAP), and Anchored VWAP (AVWAP). The script provides customizable settings and flexible alerts for various crossover conditions, enhancing its utility for different trading strategies.
Key Features
- **1st and 2nd WMA**: Allows users to set and visualize two Weighted Moving Averages. These can be customized to any period, providing flexibility in trend identification.
- **VWAP and AVWAP**: Incorporates both VWAP and AVWAP, offering insights into price levels adjusted by volume.
- **ATR and ADX Indicators**: Includes the Average True Range (ATR) and Average Directional Index (ADX) to help assess market volatility and trend strength.
- **Flexible Alerts**: Configurable buy and sell alerts for any crossover condition, making it versatile for various trading strategies.
How to Use the Script
1. **Set the WMA Periods**: Customize the periods for the 1st and 2nd WMAs to suit your trading strategy.
2. **Enable VWAP and AVWAP**: Choose whether to include VWAP and AVWAP in your analysis by enabling the respective settings.
3. **Configure Alerts**: Set up alerts for the desired crossover conditions (WMA, VWAP, AVWAP) to receive notifications for potential trading opportunities.
4. **Monitor Signals**: Watch for buy and sell signals indicated by triangle shapes on the chart, which appear at the selected crossover points.
When to Use
- **Best Time to Use**: The script is most effective in trending markets where price movements are well-defined. It helps traders stay on the right side of the trend and avoid false signals during periods of low volatility.
- **When Not to Use**: Avoid using the script in choppy or sideways markets where price action lacks direction. The script may generate false signals in such conditions, leading to potential losses.
Benefits of VWAP and AVWAP
- **VWAP**: The Volume Weighted Average Price provides a price benchmark that adjusts for volume, helping traders identify fair value levels. It is particularly useful for intraday trading and gauging market sentiment.
- **AVWAP**: The Anchored VWAP allows traders to set a starting point for VWAP calculations, providing flexibility in analyzing price levels over specific periods or events. This helps in identifying key support and resistance levels based on volume.
Unique Aspects
- **Customizability**: The script offers extensive customization options for WMA periods, VWAP, AVWAP, and alert conditions, making it adaptable to various trading strategies.
- **Combining Indicators**: By integrating WMAs, VWAP, AVWAP, ATR, and ADX, the script provides a comprehensive view of market conditions, enhancing decision-making.
- **Real-Time Alerts**: The flexible alert system ensures traders receive timely notifications for potential trade setups, improving responsiveness to market changes.
Examples
- **Example 1**: A trader sets the 1st WMA to 8 and the 2nd WMA to 100, enabling the VWAP. When the 1st WMA crosses above the 2nd WMA or VWAP, a buy signal is triggered, indicating a potential long entry.
- **Example 2**: A trader sets the AVWAP to start 30 bars ago and monitors for crossovers with the 1st WMA. When the 1st WMA crosses below the AVWAP, a sell signal is triggered, suggesting a potential short entry.
Final Notes
The Dynamic Trend Navigator script is a powerful tool for traders looking to enhance their market analysis and trading decisions. Its unique combination of customizable indicators and flexible alert system sets it apart from other scripts, making it a valuable addition to any trader's toolkit.
Disclaimer: Never any financial advice. Just ThisGirl loving experimenting with indicators to help myself, as well as others.
