Gold Killzone Bias Suite🟡 Gold Killzone Bias Suite
The Gold Killzone Bias Suite is an advanced institutional-grade tool designed to generate high-confidence directional bias for XAU/USD (Gold) during the London and New York killzones.
Built for traders using a structured, confluence-driven approach, this tool blends price action, smart money principles, momentum, and volume into a real-time bias engine with a clean, easy-to-read dashboard.
🔧 Key Features
🕰️ Session-Based Bias (London / New York)
Independent bias calculation per session
Killzone times customizable with timezone support
Background highlighting (blue/red) for each session
📊 VWAP Engine
Reclaim & rejection detection
VWAP deviation alerts
Daily HTF VWAP integration
Score impact based on VWAP behaviour
📉 Market Structure (CHoCH / BOS)
Detects swing highs/lows
Labels bullish/bearish CHoCHs
Structure score contributes to session bias
💧 Liquidity Grabs
Detects stop hunts above highs / below lows
Confirms with candle rejection (body % filter)
Plots labels and adds to bias scoring
⚡ Momentum Filters
RSI: Bullish >55, Bearish <45
MACD: Histogram + Signal Line crossovers
Combined momentum score used in bias
🧠 Smart Money Proximity
Optional FVG/OB score toggle (placeholder for custom logic)
Adds static confluence for proximity-based setups
⏫ Higher Time Frame Context
Daily VWAP comparison
4H high/low structure breaks
Adds trend score to current session bias
🧠 How Bias Works
The suite uses a scoring model. Each confluence adds or subtracts points:
VWAP reclaim/reject: ±30
CHoCH/BOS: ±30
Liquidity grab: ±20
RSI/MACD: ±10
FVG/OB Proximity: +10
Daily VWAP trend: ±10
H4 Trend Break: ±10
Final Bias:
Bullish if score ≥ +20
Bearish if score ≤ -20
Neutral if between -19 and +19
A confidence % (capped at 100) is also shown, along with the contributing confluences (VWAP, Structure, Liquidity, etc.).
📋 Dashboard
A real-time dashboard shows for each session:
Session name and time
Bias (Bullish / Bearish / Neutral)
Confidence (%)
Confluences used
Position can be moved (Top Left, Top Right, etc.). Designed to be unobtrusive yet informative.
🧪 Best Practices
Use on 15m / 5m charts for intraday setups
Confirm with D1 or H4 structure for directional context
Combine with OB/FVG zones or SMT for entries
Use Trading View alerts for bias flips or liquidity grabs (custom logic can be added)
Bar Replay compatible for back testing and journaling bias shifts
🔐 Notes
Does not generate trade signals or alerts by default
Focused on bias generation and confluence stacking
Compatible with funded account trading models
📈 Built for traders who want a systematic, score-based approach to identifying directional edge in high-volume gold sessions.
Komut dosyalarını "liquidity" için ara
Ayman Entry Signal – Ultimate PRO (Scalping Gold Settings)1. Overview
This indicator is a professional gold scalping tool built for TradingView using Pine Script v6.
It combines multiple price action and technical filters to generate high-probability Buy/Sell signals with built-in trade management features (TP1, TP2, SL, Break Even, Partial Close, Stats tracking).
It is optimized for XAUUSD but can be applied to other assets with proper setting adjustments.
2. Key Features
Multi-Condition Trade Signals – EMA trend, Break of Structure, Order Blocks, FVG, Liquidity Sweeps, Pin Bars, Higher Timeframe confirmation, Trend Cloud, SMA Cross, and ADX.
Full Trade Management – Auto-calculates lot size, SL, TP1, TP2, Break Even, Partial Close.
Dynamic Chart Drawing – Entry lines, SL/TP lines, trade boxes, and real-time PnL.
Statistics Panel – Tracks wins, losses, breakeven trades, and total PnL over selected dates.
Customizable Filters – All filters can be turned ON/OFF to match your strategy.
3. Main Inputs & Settings
Account Settings
Capital ($) – Total trading capital.
Risk Percentage (%) – Risk per trade.
TP to SL Ratio – Risk-to-reward ratio.
Value Per Point ($) – Value per pip/point for lot size calculation.
SL Buffer – Extra points added to SL to avoid stop hunts.
Take Profit Settings
TP1 % of Full Target – Fraction of TP1 compared to TP2.
Move SL to Entry after TP1? – Activates Break Even after TP1.
Break Even Buffer – Extra points when moving SL to BE.
Take Partial Close at TP1 – Option to close half at TP1.
Signal Filters
ATR Period – For SL/TP calculation buffer.
EMA Trend – Uses EMA 9/21 crossover for trend.
Break of Structure (BoS) – Requires structure break confirmation.
Order Block (OB) – Validates trades within OB zones.
Fair Value Gap (FVG) – Confirms trades inside FVGs.
Liquidity Sweep – Checks if liquidity zones are swept.
Pin Bar Confirmation – Uses candlestick patterns for extra confirmation.
Pin Bar Body Ratio – Controls strictness of Pin Bar filter.
Higher Timeframe Filters (HTF)
HTF EMA Confirmation – Confirms lower timeframe trades with higher timeframe trend.
HTF BoS – Confirms with higher timeframe structure break.
HTF Timeframe – Selects higher timeframe.
Advanced Filters
SuperTrend Filter – Confirms trades based on SuperTrend.
ADX Filter – Filters out low volatility periods.
SMA Cross Filter – Uses SMA 8/9 cross as filter.
Trend Cloud Filter – Uses EMA 50/200 as a cloud trend filter.
4. How It Works
Buy Signal Conditions
EMA 9 > EMA 21 (trend bullish)
Optional filters (BoS, OB, FVG, Liquidity Sweep, Pin Bar, HTF confirmations, ADX, SMA Cross, Trend Cloud) must pass if enabled.
When all active filters pass → Buy signal triggers.
Sell Signal Conditions
EMA 9 < EMA 21 (trend bearish)
Same filtering process but for bearish conditions.
When all active filters pass → Sell signal triggers.
5. Trade Execution & Management
When a signal triggers:
Lot size is auto-calculated based on risk % and SL distance.
SL is placed beyond recent swing high/low + ATR buffer.
TP1 and TP2 are calculated from the SL using the reward-to-risk ratio.
Break Even: If enabled, SL moves to entry price after TP1 is hit.
Partial Close: If enabled, half of the position closes at TP1.
Trade Exit: Full exit at TP2, SL hit, or partial close at TP1.
6. Chart Display
Entry Line – Shows entry price.
SL Line – Red dashed line at stop loss level.
TP1 Line – Lime dashed line for TP1.
TP2 Line – Green dashed line for TP2.
PnL Labels – Displays real-time profit/loss in $.
Trade Box – Visual area showing trade range.
Pin Bar Shapes – Optional, marks Pin Bars.
7. Statistics Panel
Stats Header – Shows “Stats”.
Total Trades
Wins
Losses
Breakeven Trades
Total PnL
Can be reset or filtered by date.
8. How to Use
Load the Indicator in TradingView.
Select Gold (XAUUSD) on your preferred scalping timeframe (1m, 5m, 15m).
Adjust settings:
Use default gold scalping settings for quick start.
Enable/disable filters according to your style.
Wait for a Buy/Sell alert.
Confirm visually that all desired conditions align.
Place trade with calculated lot size, SL, and TP levels shown on chart.
Let trade run – the indicator manages Break Even & Partial Close if enabled.
9. Recommended Timeframes
Scalping: 1m, 5m, 15m
Day Trading: 15m, 30m, 1H
Swing: 4H, Daily (adjust settings accordingly)
Low Volume Regions (Captura de liquidez)"Low Volume Regions"
Detects and highlights price zones where Bitcoin rapidly moved through with unusually low traded volume—approximating low-volume nodes. Adjacent sparse-volume bins are merged into cleaner regions. Zones above the current price are green, below are red; the emptiest zone (strongest low-volume signature) is tagged with “! Low Volume Region.” Opacity encodes scarcity: darker/less transparent means lower volume. Designed to surface liquidity capture areas likely to be revisited.
This indicator identifies and visualizes “low volume regions” in the price action of Bitcoin—price areas that were traversed quickly with little trading activity, creating potential liquidity gaps that the market may later revisit. These regions approximate what traders refer to as low-volume nodes (LVNs) or thin zones on a volume profile, without relying on native volume-profile data.
How it works:
It analyzes the last N candles (configurable lookback) and divides the price range into discrete bins.
Volume is accumulated per bin based on historical closes to estimate where trading was sparse.
Bins with volume below a chosen percentile threshold are marked as low-volume.
Nearby low-volume bins are merged into broader regions to reduce clutter and reflect meaningful sparse-volume zones.
Each merged zone’s average volume is used to compute a “scarcity” score; zones with comparatively less volume are rendered more opaque (stronger visual emphasis).
Zones above the current price are colored green, zones below are colored red.
The most extreme low-volume region (the one with the lowest relative volume) is flagged with the label “! Low Volume Region”, while others are labeled “Low Volume Region”.
Visuals:
Filled boxes (zones) show aggregated low-volume price regions projected forward.
Opacity scales: emptier (lower volume) regions are darker/less transparent.
Single label per region indicates its nature; the strongest zone includes an exclamation mark prefixed to the label.
Color indicates relative position to current price (bullish above / bearish below).
Key inputs / parameters:
lookback: Number of candles to include in the volume analysis window.
binsCount: Granularity of price partitioning.
percentileThreshold: Defines how “low” volume must be to qualify (e.g., 25 picks the bottom 25% by volume).
zoneWidthBars: How far the detected region extends to the right for visibility.
mergeGapFactor: Controls how aggressively adjacent low-volume bins are merged.
Interpretation:
Traders can use these regions as potential areas of liquidity capture or imbalance. Price often revisits such thin zones to fill them (retracement) before continuing in the prevailing direction. The highlighted “strongest” zone (with the exclamation) is the most pronounced candidate for such behavior.
Usage tips:
Combine with overall trend/context to decide if a revisit is a corrective opportunity or a trap.
Use the zones as potential support/resistance or entries/exits when price returns.
Adjust lookback and binsCount to suit the time frame (higher lookback + more bins for higher timeframes).
Limitations:
This is an approximation of volume-profile behavior using only candle close-based binning; it does not replace full-profile footprint or order-book analysis.
Zones are recalculated on the latest candle only to reduce clutter; historical persistence or revisit detection must be handled externally if needed.
Example use case:
On a daily BTC chart, a sharp green candle that quickly leaps above a narrow consolidation with low volume leaves behind a “Low Volume Region.” If price later retraces, traders watch that zone for potential liquidity capture or a bounce.
Crypto DanR 1.4.2 PC-Roye Edition📜 Crypto DanR 1.4.2 — PC Roye Edition (Open Source)
This indicator combines Smart Money Concepts (SMC), Liquidity Analysis, and Trend Filtering to provide traders with a high-quality tool for intraday and swing trading on assets like XRP/USDT.
✅ What This Script Does
Crypto DanR 1.4.2 integrates the following advanced features:
Break of Structure (BOS) & Change of Character (CHoCH):
Detects key shifts in market structure
Helps confirm trend direction and reversal points
Fair Value Gaps (FVG):
Displays unmitigated liquidity voids using a style inspired by LuxAlgo
Highlights potential retracement zones where smart money may re-enter
Equal Highs / Equal Lows (EQH/EQL):
Marks liquidity zones that institutions often target before reversals
Order Blocks (OB):
Identifies potential institutional demand/supply zones
Option to filter by wick, body, or mitigation logic
Fibonacci Volatility Bands (based on BigBeluga’s logic):
Detects potential price extremes using Fib extensions on volatility
10 Moving Averages in One (inspired by hiimannshu's script):
Supports 10 custom MAs (SMA, EMA, RMA, HMA, VWMA, etc.) with adjustable source and timeframe
Ideal for trend filtering or dynamic support/resistance
Vector Candles (TradersReality / PVSRA):
Color-coded candles showing real-time volume pressure and trend bias
Visual Trade Plan:
Optional overlay for entry, stop-loss, and take-profit planning
Displays risk-to-reward ratio and potential % gain/loss live
🧠 How It Works
The script uses a price-action-first approach, built around concepts from Smart Money Theory. CHoCH and BOS detect structural shifts, while FVGs and OBs help forecast likely reaction zones. The multiple moving averages act as a trend filter to avoid entering against momentum.
This combination allows traders to:
Enter on mitigations or breakouts
Set stops outside liquidity zones
Manage trades visually with dynamic risk/reward levels
📊 Best Use Cases
15m or 1h scalping (ideal)
Swing trading on 4h
Works well on crypto, FX, and indices
🙏 Credits
TradersReality for PVSRA logic via public library
LuxAlgo for FVG inspiration
hiimannshu for 10-in-1 MA logic
BigBeluga for Fibonacci Bands methodology
All reused logic is significantly modified and part of a broader framework.
📌 Notes
Script is open-source to promote transparency and collaboration
Please do not copy-paste and republish without adding meaningful improvements
Feedback and suggestions welcome!
Crypto DanR 1.4.2 PC-Roye Edition📜 Crypto DanR 1.4.2 — PC Roye Edition (Open Source)
This indicator combines Smart Money Concepts (SMC), Liquidity Analysis, and Trend Filtering to provide traders with a high-quality tool for intraday and swing trading on assets like XRP/USDT.
✅ What This Script Does
Crypto DanR 1.4.2 integrates the following advanced features:
Break of Structure (BOS) & Change of Character (CHoCH):
Detects key shifts in market structure
Helps confirm trend direction and reversal points
Fair Value Gaps (FVG):
Displays unmitigated liquidity voids using a style inspired by LuxAlgo
Highlights potential retracement zones where smart money may re-enter
Equal Highs / Equal Lows (EQH/EQL):
Marks liquidity zones that institutions often target before reversals
Order Blocks (OB):
Identifies potential institutional demand/supply zones
Option to filter by wick, body, or mitigation logic
Fibonacci Volatility Bands (based on BigBeluga’s logic):
Detects potential price extremes using Fib extensions on volatility
10 Moving Averages in One (inspired by hiimannshu's script):
Supports 10 custom MAs (SMA, EMA, RMA, HMA, VWMA, etc.) with adjustable source and timeframe
Ideal for trend filtering or dynamic support/resistance
Vector Candles (TradersReality / PVSRA):
Color-coded candles showing real-time volume pressure and trend bias
Visual Trade Plan:
Optional overlay for entry, stop-loss, and take-profit planning
Displays risk-to-reward ratio and potential % gain/loss live
🧠 How It Works
The script uses a price-action-first approach, built around concepts from Smart Money Theory. CHoCH and BOS detect structural shifts, while FVGs and OBs help forecast likely reaction zones. The multiple moving averages act as a trend filter to avoid entering against momentum.
This combination allows traders to:
Enter on mitigations or breakouts
Set stops outside liquidity zones
Manage trades visually with dynamic risk/reward levels
📊 Best Use Cases
15m or 1h scalping (ideal)
Swing trading on 4h
Works well on crypto, FX, and indices
🙏 Credits
TradersReality for PVSRA logic via public library
LuxAlgo for FVG inspiration
hiimannshu for 10-in-1 MA logic
BigBeluga for Fibonacci Bands methodology
All reused logic is significantly modified and part of a broader framework.
📌 Notes
Script is open-source to promote transparency and collaboration
Please do not copy-paste and republish without adding meaningful improvements
Feedback and suggestions welcome!
FVG 9:31–10:00 AM ETFVG 9:31–10:00 AM ET - Script Description
What This Script Does
This indicator finds **Fair Value Gaps (FVGs)** that form during the first 29 minutes of the U.S. stock market (9:31 AM to 10:00 AM Eastern Time). A Fair Value Gap is a price imbalance where there's a gap between candles that often becomes an important support or resistance level.
Key Features:
- **Time Window**: Only looks for FVGs between 9:31-10:00 AM ET (most important opening period)
- **One Per Day**: Finds only the first FVG that forms in this time window each day
- **Visual Display**: Draws a purple box around the gap with a clear "FVG" label
- **Price Tracking**: Monitors when price comes back to test the gap level
- **Alert System**: Sends notifications when price returns to the FVG zone
How FVGs Are Detected:
- **Bullish FVG**: When there's a gap up (low of middle candle is above high of 3rd candle back)
- **Bearish FVG**: When there's a gap down (high of middle candle is below low of 3rd candle back)
The 9:31-10:00 AM window is chosen because this is when institutions and algorithms create their biggest price moves right after market open, making these gaps very reliable.
Customization Options
User Settings
Extend FVG Box (Bars)
- **What it does**: Makes the purple box longer to the right
- **Default**: 0 (box ends right after the gap forms)
- **Options**: Any number from 0 to 100+
- **When to use**:
- Keep at 0 for clean historical view
- Set to 10-20 to track the gap during the current session
- Set higher for longer reference
Code Settings (Can Be Changed)
Time Window
- **Start**: 9:31 AM Eastern Time
- **End**: 10:00 AM Eastern Time
- **Can modify**: Change the hour/minute numbers in the code
Visual Style
- **Color**: Purple with see-through background
- **Label**: Shows "FVG" text in white
- **Can modify**: Change colors and transparency in the code
How to Use:
Setup
Chart Settings
1. Use 1-minute, 5-minute, or 15-minute charts (works best on these timeframes)
2. Apply to liquid markets like ES, NQ, major stocks, or forex pairs
3. Set the "Extend FVG Box" to your preference (start with 0 or 10)
What You'll See
- A purple box appears when an FVG forms during 9:31-10:00 AM
- Box shows the exact price levels of the gap
- "FVG" label appears on the box
- Only one FVG per day will be marked
Trading Strategies
Basic FVG Trading
1. **Wait for Formation**: Let the purple box appear during 9:31-10:00 AM
2. **Watch Price Movement**: See if price moves away from the gap
3. **Enter on Retest**: When price comes back to the purple box area, consider entering
4. **Trade Direction**:
- Bullish FVG = look for long opportunities when price retests
- Bearish FVG = look for short opportunities when price retests
Entry Methods
- **Bounce Play**: Enter when price touches the FVG box and bounces away
- **Break Play**: Enter if price strongly breaks through the FVG box
- **Rejection Play**: Enter opposite direction if price gets rejected at the FVG
Risk Management
Stop Losses
- Place stops just outside the FVG box (a few ticks beyond the gap)
- If trading a bounce, stop goes on opposite side of the gap
- If trading a break, stop goes back inside the gap
Position Sizing
- Start small until you understand how FVGs work in your market
- Bigger gaps = smaller position size (more risk)
- Smaller gaps = can use larger position size
Profit Targets
- Take profits at obvious levels like round numbers, previous highs/lows
- Consider taking half profits at 1:1 risk/reward ratio
- Let some position run if the move is strong
Best Practices
When It Works Best
- High-volume stocks and futures (ES, NQ work great)
- Normal market days without major news during the 9:31-10:00 window
- When there's clear institutional activity in the opening period
When to Be Careful
- Low-volume stocks or markets
- Major economic news releases during the time window
- Market holidays when volume is low
- Very choppy or sideways days
Alert Usage
- The script will alert you when price comes back to test the FVG
- Don't trade the alert blindly - always check the current market situation
- Use the alert as a heads-up to start watching the setup more closely
Tips for Success
- The earlier the FVG forms in the 9:31-10:00 window, often the more significant it is
- FVGs that form with high volume are usually more reliable
- Always consider the overall market direction - don't fight the main trend
- Practice on paper first to understand how FVGs behave in your chosen market
🔗 Works Best With:
✅ Liquidity Levels — Smart Swing Lows: Spot key structural lows that can fuel stop hunts and reversals.
✅ ICT Turtle Soup — Liquidity Reversal: Add a classic reversal pattern to your toolkit to catch fakeouts cleanly.
✅ ICT SMC Liquidity Grabs and OBs- Liquidity Grabs, Order Block Zones, and Fibonacci OTE Levels, allowing traders to identify institutional entry models with clean, rule-based visual signals.
This script is most valuable for day traders who want to catch institutional moves right after market open, but it can also help swing traders identify important intraday levels.
✅ ICT Macro Zones (Grey Box Version)- It tracks real-time highs and lows for each Silver Bullet session.
✅ Weekly Opening Gap (cryptonnnite)
ICT Directional FVG Indicator (Buffered SL)This is the first indicator I have ever made, and I am very new to Pine Script. I’ve tried my best to create this as a strategy, but I’m still learning, so please be kind and constructive with your feedback!
ICT Directional FVG Indicator (Buffered SL)
This indicator is designed for traders who follow ICT (Inner Circle Trader) concepts, focusing on Fair Value Gaps (FVGs), liquidity sweeps, and session-based trading. It automatically detects bullish and bearish FVGs, highlights them on the chart, and identifies liquidity sweep events. The indicator features three customizable Kill Zones (London, New York, and Asia sessions), each with independent toggles and color-coded backgrounds for clear visual separation.
Key features:
Fair Value Gap Detection: Highlights bullish and bearish FVGs in real time.
Liquidity Sweep Alerts: Marks potential liquidity sweep events for both highs and lows.
Session Kill Zones: Toggle each Kill Zone (London, New York, Asia) independently; background color changes only in enabled zones.
Trade Signal Visualization: Plots entry, stop loss, and take profit levels based on FVG and sweep logic, with a user-defined stop loss buffer.
Customizable Display: Easily enable or disable FVGs, sweeps, trade levels, and each Kill Zone to suit your strategy.
This tool is ideal for ICT-based traders who want a clear, automated view of FVGs, sweeps, and session activity, with full control over which sessions and signals are displayed.
Quantum Motion Oscillator-QMO (TechnoBlooms)Quantum Motion Oscillator (QMO) is a momentum indicator designed for traders who demand precision. Combining multi-timeframe weighted linear regression with EMA crossovers, QMO offers a dynamic view of market momentum, helping traders anticipate trend shifts with greater accuracy.
This oscillator is inspired by quantum mechanics and wave theory, where market movement is seen as a series of probabilistic waves rather than rigid structures.
The histogram is plotted in proportion to the price movement of the candlesticks.
KEY FEATURES
1. Multi-Timeframe Histogram - Integrates 1 to 5 weighted linear regression averages, reducing lag while maintaining accuracy.
2. EMA Crossover Signal - Uses a Short and Long EMA to confirm trend shifts with minimal noise.
3. Adaptive Trend Analysis - Self-adjusting mechanics make QMO effective in both ranging and trending markets.
4. Scalable for Different Trading Styles - Works seamlessly for scalping, intraday, swing and position trading.
ADVANCED PROFESSIONAL INSIGHTS
1. Wave Dynamics and Market Flow - Inspired by wave mechanics, QMO reflects the energy accumulation and dissipation in price movements.
Expanding histogram waves = Strong momentum surge
Contracting waves = Momentum weakening, potential reversal zone.
2. Liquidity and Order Flow Applications - QMO works well alongside liquidity concepts and smart money techniques:
Combine with Fair Value Gaps & Order Blocks -> Enter when QMO signals align with liquidity zones.
Avoid False Moves - If price sweeps liquidity, but QMO momentum diverges, it is a sign of potential smart money manipulation.
Quarterly Theory ICT 03 [TradingFinder] Precision Swing Points🔵 Introduction
Precision Swing Point (PSP) is a divergence pattern in the closing of candles between two correlated assets, which can indicate a potential trend reversal. This structure appears at market turning points and highlights discrepancies between the price behavior of two related assets.
PSP typically forms in key timeframes such as 5-minute, 15-minute, and 90-minute charts, and is often used in combination with Smart Money Concepts (SMT) to confirm trade entries.
PSP is categorized into Bearish PSP and Bullish PSP :
Bearish PSP : Occurs when an asset breaks its previous high, and its middle candle closes bullish, while the correlated asset closes bearish at the same level. This divergence signals weakness in the uptrend and a potential price reversal downward.
Bullish PSP : Occurs when an asset breaks its previous low, and its middle candle closes bearish, while the correlated asset closes bullish at the same level. This suggests weakness in the downtrend and a potential price increase.
🟣 Trading Strategies Using Precision Swing Point (PSP)
PSP can be integrated into various trading strategies to improve entry accuracy and filter out false signals. One common method is combining PSP with SMT (divergence between correlated assets), where traders identify divergence and enter a trade only after PSP confirms the move.
Additionally, PSP can act as a liquidity gap, meaning that price tends to react to the wick of the PSP candle, making it a favorable entry point with a tight stop-loss and high risk-to-reward ratio. Furthermore, PSP combined with Order Blocks and Fair Value Gaps in higher timeframes allows traders to identify stronger reversal zones.
In lower timeframes, such as 5-minute or 15-minute charts, PSP can serve as a confirmation for more precise entries in the direction of the higher timeframe trend. This is particularly useful in scalping and intraday trading, helping traders execute smarter entries while minimizing unnecessary stop-outs.
🔵 How to Use
PSP is a trading pattern based on divergence in candle closures between two correlated assets. This divergence signals a difference in trend strength and can be used to identify precise market turning points. PSP is divided into Bullish PSP and Bearish PSP, each applicable for long and short trades.
🟣 Bullish PSP
A Bullish PSP forms when, at a market turning point, the middle candle of one asset closes bearish while the correlated asset closes bullish. This discrepancy indicates weakness in the downtrend and a potential price reversal upward.
Traders can use this as a signal for long (buy) trades. The best approach is to wait for price to return to the wick of the PSP candle, as this area typically acts as a liquidity level.
f PSP forms within an Order Block or Fair Value Gap in a higher timeframe, its reliability increases, allowing for entries with tight stop-loss and optimal risk-to-reward ratios.
🟣 Bearish PSP
A Bearish PSP forms when, at a market turning point, the middle candle of one asset closes bullish while the correlated asset closes bearish. This indicates weakness in the uptrend and a potential price decline.
Traders use this pattern to enter short (sell) trades. The best entry occurs when price retests the wick of the PSP candle, as this level often acts as a resistance zone, pushing price lower.
If PSP aligns with a significant liquidity area or Order Block in a higher timeframe, traders can enter with greater confidence and place their stop-loss just above the PSP wick.
Overall, PSP is a highly effective tool for filtering false signals and improving trade entry precision. Combining PSP with SMT, Order Blocks, and Fair Value Gaps across multiple timeframes allows traders to execute higher-accuracy trades with lower risk.
🔵 Settings
Mode :
2 Symbol : Identifies PSP and PCP between two correlated assets.
3 Symbol : Compares three assets to detect more complex divergences and stronger confirmation signals.
Second Symbol : The second asset used in PSP and correlation calculations.
Third Symbol : Used in three-symbol mode for deeper PSP and PCP analysis.
Filter Precision X Point : Enables or disables filtering for more precise PSP and PCP detection. This filter only identifies PSP and PCP when the base asset's candle qualifies as a Pin Bar.
Trend Effect : By changing the Trend Effect status to "Off," all Pin bars, whether bullish or bearish, are displayed regardless of the current market trend. If the status remains "On," only Pin bars in the direction of the main market trend are shown.
Bullish Pin Bar Setting : Using the "Ratio Lower Shadow to Body" and "Ratio Lower Shadow to Higher Shadow" settings, you can customize your bullish Pin bar candles. Larger numbers impose stricter conditions for identifying bullish Pin bars.
Bearish Pin Bar Setting : Using the "Ratio Higher Shadow to Body" and "Ratio Higher Shadow to Lower Shadow" settings, you can customize your bearish Pin bar candles. Larger numbers impose stricter conditions for identifying bearish Pin bars.
🔵 Conclusion
Precision Swing Point (PSP) is a powerful analytical tool in Smart Money trading strategies, helping traders identify precise market turning points by detecting divergences in candle closures between correlated assets. PSP is classified into Bullish PSP and Bearish PSP, each playing a crucial role in detecting trend weaknesses and determining optimal entry points for long and short trades.
Using the PSP wick as a key liquidity level, integrating it with SMT, Order Blocks, and Fair Value Gaps, and analyzing higher timeframes are effective techniques to enhance trade entries. Ultimately, PSP serves as a complementary tool for improving entry accuracy and reducing unnecessary stop-outs, making it a valuable addition to Smart Money trading methodologies.
MTF Round Level Reversal [RunRox]🧲 MTF Round Level Reversal is an indicator designed to highlight price levels on the chart where the market encountered significant resistance or support at round numbers, failing to break through large clusters of orders.
In many cases, price revisits these round-number levels to absorb the remaining liquidity, offering potential reversal or continuation trade opportunities.
✏️ EXAMPLE
Here’s an example demonstrating how this indicator works and how its logic is structured:
As shown in the screenshot above, price encountered resistance at round-number levels, clearly reacting off these areas.
Afterward, the market pulled back, presenting opportunities to enter trades targeting these previously established open levels.
This logic is based on the observation that price often seeks to revisit these open round-number levels due to the residual liquidity resting there.
While effective across various markets, this indicator performs particularly well with stocks or assets priced at higher values.
For a level to appear on the chart, price must first encounter a round-number value and clearly reverse from it, leaving a visible reaction on the chart. After this occurs, the indicator will mark this level as fully formed and display it as an active reversal area.
⚙️ SETTINGS
🔷 Timeframe – Choose any timeframe from which you’d like the indicator to source level data.
🔷 Period – Defines the number of candles required on both sides (left and right) to confirm and fully form a level.
🔷 Rounding Level – Adjusts price rounding precision when detecting levels (from 0.0001 up to 5000).
🔷 Color – Customize the color and transparency of displayed levels.
🔷 Line Style – Select the desired line style for level visualization.
🔷 Label Size – Set the font size for the level labels displayed on the chart.
🔷 Move Label to the Right – Move level labels to the right side of the screen for better visibility.
🔷 Label Offset – Specifies how many bars labels should be offset from the chart’s right edge.
🔷 Delete Filled Level – Automatically removes levels from the chart after they’ve been revisited or filled.
🔷 Calculation Bars – Determines the number of recent bars considered when calculating and identifying levels.
🔶 There are numerous ways to apply this indicator in your trading strategy. You can look for trades targeting these round-number levels or identify reversal setups forming at these high-liquidity zones. The key insight is understanding that these levels represent significant liquidity areas, which price frequently revisits and retests.
We greatly appreciate your feedback and suggestions to further improve and enhance this indicator!
Quarterly Theory ICT 01 [TradingFinder] XAMD + Q1-Q4 Sessions🔵 Introduction
The Quarterly Theory ICT indicator is an advanced analytical system based on the concepts of ICT (Inner Circle Trader) and fractal time. It divides time into quarterly periods and accurately determines entry and exit points for trades by using the True Open as the starting point of each cycle. This system is applicable across various time frames including annual, monthly, weekly, daily, and even 90-minute sessions.
Time is divided into four quarters: in the first quarter (Q1), which is dedicated to the Accumulation phase, the market is in a consolidation state, laying the groundwork for a new trend; in the second quarter (Q2), allocated to the Manipulation phase (also known as Judas Swing), sudden price changes and false moves occur, marking the true starting point of a trend change; the third quarter (Q3) is dedicated to the Distribution phase, during which prices are broadly distributed and price volatility peaks; and the fourth quarter (Q4), corresponding to the Continuation/Reversal phase, either continues or reverses the previous trend.
By leveraging smart algorithms and technical analysis, this system identifies optimal price patterns and trading positions through the precise detection of stop-run and liquidity zones.
With the division of time into Q1 through Q4 and by incorporating key terms such as Quarterly Theory ICT, True Open, Accumulation, Manipulation (Judas Swing), Distribution, Continuation/Reversal, ICT, fractal time, smart algorithms, technical analysis, price patterns, trading positions, stop-run, and liquidity, this system enables traders to identify market trends and make informed trading decisions using real data and precise analysis.
♦ Important Note :
This indicator and the "Quarterly Theory ICT" concept have been developed based on material published in primary sources, notably the articles on Daye( traderdaye ) and Joshuuu . All copyright rights are reserved.
🔵 How to Use
The Quarterly Theory ICT strategy is built on dividing time into four distinct periods across various time frames such as annual, monthly, weekly, daily, and even 90-minute sessions. In this approach, time is segmented into four quarters, during which the phases of Accumulation, Manipulation (Judas Swing), Distribution, and Continuation/Reversal appear in a systematic and recurring manner.
The first segment (Q1) functions as the Accumulation phase, where the market consolidates and lays the foundation for future movement; the second segment (Q2) represents the Manipulation phase, during which prices experience sudden initial changes, and with the aid of the True Open concept, the real starting point of the market’s movement is determined; in the third segment (Q3), the Distribution phase takes place, where prices are widely dispersed and price volatility reaches its peak; and finally, the fourth segment (Q4) is recognized as the Continuation/Reversal phase, in which the previous trend either continues or reverses.
This strategy, by harnessing the concepts of fractal time and smart algorithms, enables precise analysis of price patterns across multiple time frames and, through the identification of key points such as stop-run and liquidity zones, assists traders in optimizing their trading positions. Utilizing real market data and dividing time into Q1 through Q4 allows for a comprehensive and multi-level technical analysis in which optimal entry and exit points are identified by comparing prices to the True Open.
Thus, by focusing on keywords like Quarterly Theory ICT, True Open, Accumulation, Manipulation, Distribution, Continuation/Reversal, ICT, fractal time, smart algorithms, technical analysis, price patterns, trading positions, stop-run, and liquidity, the Quarterly Theory ICT strategy acts as a coherent framework for predicting market trends and developing trading strategies.
🔵b]Settings
Cycle Display Mode: Determines whether the cycle is displayed on the chart or on the indicator panel.
Show Cycle: Enables or disables the display of the ranges corresponding to each quarter within the micro cycles (e.g., Q1/1, Q1/2, Q1/3, Q1/4, etc.).
Show Cycle Label: Toggles the display of textual labels for identifying the micro cycle phases (for example, Q1/1 or Q2/2).
Table Display Mode: Enables or disables the ability to display cycle information in a tabular format.
Show Table: Determines whether the table—which summarizes the phases (Q1 to Q4)—is displayed.
Show More Info: Adds additional details to the table, such as the name of the phase (Accumulation, Manipulation, Distribution, or Continuation/Reversal) or further specifics about each cycle.
🔵 Conclusion
Quarterly Theory ICT provides a fractal and recurring approach to analyzing price behavior by dividing time into four quarters (Q1, Q2, Q3, and Q4) and defining the True Open at the beginning of the second phase.
The Accumulation, Manipulation (Judas Swing), Distribution, and Continuation/Reversal phases repeat in each cycle, allowing traders to identify price patterns with greater precision across annual, monthly, weekly, daily, and even micro-level time frames.
Focusing on the True Open as the primary reference point enables faster recognition of potential trend changes and facilitates optimal management of trading positions. In summary, this strategy, based on ICT principles and fractal time concepts, offers a powerful framework for predicting future market movements, identifying optimal entry and exit points, and managing risk in various trading conditions.
MT-Turnover.IndicatorMT-Turnover Indicator – Market Liquidity & Activity Gauge
Overview
The MT-Turnover Indicator is a TradingView tool designed to measure market liquidity and trading activity by tracking the turnover rate of a stock. It calculates the turnover percentage by comparing the trading volume to the number of outstanding shares, providing traders with insights into how actively a stock is being traded.
By incorporating a moving average (MA) of turnover and a customizable high turnover threshold, this indicator helps identify periods of increased market participation, potential breakouts, or distribution phases.
Key Features
✔ Turnover Rate Calculation – Expresses turnover as a percentage of outstanding shares
✔ Customizable Moving Average (MA) for Trend Analysis – Smoothens turnover fluctuations for better trend identification
✔ High Turnover Level Alert – Marks periods when turnover exceeds a predefined threshold
✔ Histogram Visualization – Shows turnover dynamics with clear green (above MA) and red (below MA) bars
✔ High Turnover Signal Markers – Flags exceptionally high turnover events for quick identification
How It Works
1. Turnover Rate Calculation
• Formula:

• Configurable Outstanding Shares (in millions) to match the stock being analyzed
2. Turnover Moving Average (MA) for Trend Analysis
• A simple moving average (SMA) of turnover is calculated over a user-defined period (default: 20 days)
• Green bars indicate turnover above MA, suggesting increased activity
• Red bars indicate turnover below MA, signaling lower participation
3. High Turnover Threshold
• Users can set a high turnover level (%) to mark exceptionally active trading periods
• When turnover exceeds this level, a red triangle marker appears above the bar
4. Reference Line & Informative Table
• A dashed red reference line marks the high turnover threshold
• A floating table in the top-right corner provides a quick summary
How to Use This Indicator
📈 For Breakout Traders – High turnover can indicate strong buying interest, often preceding breakouts
📉 For Risk Management – Spikes in turnover may signal distribution phases or panic selling
🔎 For Liquidity Analysis – Helps gauge how liquid a stock is, which can impact price stability
Conclusion
The MT-Turnover Indicator is a powerful tool for identifying periods of high market activity, helping traders detect potential breakouts, reversals, or strong accumulation/distribution phases. By visualizing turnover with a moving average and customizable threshold, it provides valuable insights into market participation trends.
➡ Add this indicator to your TradingView chart and improve your liquidity-based trading decisions today! 🚀
Auto Wyckoff Schematic [by DanielM]This indicator is designed to automatically detect essential components of Wyckoff schematics. This tool aims to capture the critical phases of liquidity transfer from weak to strong hands, occurring before a trend reversal. While the Wyckoff method is a comprehensive and a very nuanced approach, every Wyckoff schematic is unique, making it impractical to implement all its components without undermining the detection of the pattern. Consequently, this script focuses on the essential elements critical to identifying these schematics effectively.
Key Features:
Swing Detection Sensitivity:
The sensitivity of swing detection is adjustable through the input parameter. This parameter controls the number of past bars analyzed to determine swing highs and lows, allowing users to fine-tune detection based on market volatility and timeframes.
Pattern Detection Logic:
Accumulation Schematic:
Detects consecutive lower swing lows, representing phases like Selling Climax (SC) and Spring, which often precede a trend reversal upward. After the final low is identified, a higher high is detected to confirm the upward trend initiation.
Labeled Key Points:
SC: Selling Climax, marking the beginning of the accumulation zone.
ST: Secondary Test during the schematic.
ST(b): Secondary Test in phase B.
Spring: The lowest point in the schematic, signaling a final liquidity grab.
SOS: Sign of Strength, confirming a bullish breakout.
The schematic is outlined visually with a rectangle to highlight the price range.
Distribution Schematic:
Detects consecutive higher swing highs, which indicate phases such as Buying Climax (BC) and UTAD, often leading to a bearish reversal. After the final high, a lower low is detected to confirm the downward trend initiation.
Labeled Key Points:
BC: Buying Climax, marking the beginning of the distribution zone.
ST: Secondary Test during the schematic.
UT: Upthrust.
UTAD: Upthrust After Distribution, signaling the final upward liquidity grab before a bearish trend.
SOW: Sign of Weakness, confirming a bearish breakout.
The schematic is visually outlined with a rectangle to highlight the price range.
Notes:
Simplification for Practicality: Due to the inherent complexity and variability of Wyckoff schematics, the indicator focuses only on the most essential features—liquidity transfer and key reversal signals.
Limitations: The tool does not account for all components of Wyckoff's method (e.g., minor phases or nuanced volume analysis) to maintain clarity and usability.
Unique Behavior: Every Wyckoff schematic is different, and this tool is designed to provide a simplified, generalized approach to detecting these unique patterns.
CandelaCharts - Swing Failure Pattern (SFP)# SWING FAILURE PATTERN
📝 Overview
The Swing Failure Pattern (SFP) indicator is designed to identify and highlight Swing Failure Patterns on a user’s chart. This pattern typically emerges when significant market participants generate liquidity by driving price action to key levels. An SFP occurs when the price temporarily breaks above a resistance level or below a support level, only to quickly reverse and return within the previous range. These movements are often associated with stop-loss hunting or liquidity grabs, providing traders with potential opportunities to anticipate reversals or key market turning points.
A Bullish SFP occurs when the price dips below a key support level, triggering stop-loss orders, but then swiftly reverses upward, signaling a potential upward trend or reversal.
A Bearish SFP happens when the price spikes above a key resistance level, triggering stop-losses of short positions, but then quickly reverses downward, indicating a potential bearish trend or reversal.
The indicator is a powerful tool for traders, helping to identify liquidity grabs and potential reversal points in real-time. Marking bullish and bearish Swing Failure Patterns on the chart, it provides clear visual cues for spotting market traps set by major players, enabling more informed trading decisions and improved risk management.
📦 Features
Bullish/Bearish SFPs
Styling
⚙️ Settings
Length: Determines the detection length of each SFP
Bullish SFP: Displays the bullish SFPs
Bearish SFP: Displays the bearish SFPs
Label: Controls the size of the label
⚡️ Showcase
Bullish
Bearish
Both
📒 Usage
The best approach is to combine a few complementary indicators to gain a clearer market perspective. This doesn’t mean relying on the Golden Cross, RSI divergences, SFPs, and funding rates simultaneously, but rather focusing on one or two that align well in a given scenario.
The example above demonstrates the confluence of a Bearish Swing Failure Pattern (SFP) with an RSI divergence. This combination strengthens the signal, as the Bearish SFP indicates a potential reversal after a liquidity grab, while the RSI divergence confirms weakening momentum at the key level. Together, these indicators provide a more robust setup for identifying potential market reversals with greater confidence.
🚨 Alerts
This script provides alert options for all signals.
Bearish Signal
A bearish signal is triggered when a Bearish SFP is formed.
Bullish Signal
A bullish signal is triggered when a Bullish SFP is formed.
⚠️ Disclaimer
Trading involves significant risk, and many participants may incur losses. The content on this site is not intended as financial advice and should not be interpreted as such. Decisions to buy, sell, hold, or trade securities, commodities, or other financial instruments carry inherent risks and are best made with guidance from qualified financial professionals. Past performance is not indicative of future results.
HMA w(LRLR)Description: This script combines a customizable Hull Moving Average (HMA) with a Low Resistance Liquidity Run (LRLR) detection system, ideal for identifying trend direction and potential breakout points in a single overlay.
Features:
Hull Moving Average (HMA):
Select separate calculation sources (open, high, low, close) for short and long periods.
Choose from SMA, EMA, and VWMA for length type on both short and long periods, offering flexible moving average calculations to suit different trading strategies.
Color-coded HMA line that visually changes based on crossover direction, providing an intuitive view of market trends.
Customizable options for line thickness, color transparency, and band fill between HMA short and long lines.
Low Resistance Liquidity Run (LRLR):
Detects breakout signals based on price and volume conditions, identifying potential liquidity run levels.
User-defined length and breakout multiplier control breakout sensitivity and adjust standard deviation-based thresholds.
Color-coded visual markers for bullish and bearish LRLR signals, customizable for user preference.
Alerts for both bullish and bearish LRLR events, keeping users informed of potential trading opportunities.
This script allows traders to visually track the HMA trend direction while also spotting low-resistance liquidity opportunities, all on one chart overlay.
Disclaimer: This tool is intended for educational purposes only and should not be used solely to make trading decisions. Adjust parameters as needed, and consider additional analysis for comprehensive decision-making.
Liquidations Zones [ChartPrime]The Liquidation Zones indicator is designed to detect potential liquidation zones based on common leverage levels such as 10x, 25x, 50x, and 100x. By calculating percentage distances from recent pivot points, the indicator shows where leveraged positions are most likely to get liquidated. It also tracks buy and sell volumes in these zones, helping traders assess market pressure and predict liquidation scenarios. Additionally, the indicator features a heat map mode to highlight areas where orders and stop-losses might be clustered.
⯁ KEY FEATURES AND HOW TO USE
⯌ Leverage Zones Detection :
The indicator identifies zones where positions with leverage ratios of 100x, 50x, 25x, and 10x are at risk of liquidation. These zones are based on percentage moves from recent pivots: a 1% move can liquidate 100x positions, a 4% move affects 25x positions, and so on.
⯌ Liquidated Zones and Volume Tracking :
The indicator displays liquidated zones by plotting gray areas where the price potentually liquidate positons. It calculates the volume needed to liquidate positions in these zones, showing volume from bullish candles if short positions were liquidated and volume from bearish candles for long positions. This feature helps traders assess the risk of liquidation as the price approaches these zones.
⯌ Buy/Sell Volume Calculation :
Buy and sell volumes are calculated from the most recent pivot high or low. For buy volume, only bullish candles are considered, while for sell volume, only bearish candles are summed. This data helps traders gauge the strength of potential liquidation in different zones.
Example of buy and sell volume tracking in active zones:
⯌ Liquidity Heat Map :
In heat map mode, the indicator visualizes potential liquidity areas where orders and stop-losses may be clustered. This map highlights zones that are likely to experience liquidations based on leverage ratios. Additionally, it tracks the highest and lowest price levels for the past 100 bars, while also displaying buy and sell volumes. This feature is useful for predicting market moves driven by liquidation events.
⯁ USER INPUTS
Length : Determines the number of bars used to calculate pivots for liquidation zones.
Extend : Controls how far the liquidation zones are extended on the chart.
Leverage Options : Toggle options to display zones for different leverage levels: 10x, 25x, 50x, and 100x.
Display Heat Map : Enables or disables the liquidity heat map feature.
⯁ CONCLUSION
The Liquidation Zones indicator provides a powerful tool for identifying potential liquidation zones, tracking volume pressure, and visualizing liquidity areas on the chart. With its real-time updates and multiple features, this indicator offers valuable insights for managing risk and anticipating market moves driven by leveraged positions.
[TTM] ICT Key Levels🌟 Overview 🌟
This tool highlights key price levels, such as highs, lows, and session opens, that can influence market moves. Based on ICT concepts, these levels help traders spot potential areas for market reversals or trend continuations.
🌟 Key Levels 🌟
🔹 Week Open (00:00 EST)
Marks the start of the trading week. This level helps track price direction and is useful for framing the Weekly candle formation using ICT’s Power of 3.
🔹 Midnight Open (00:00 EST)
The Midnight Open (MNOP) marks the start of the new trading day. Price often retraces to this level for liquidity grabs, setting up larger moves in the daily trend. It's also key for framing the Daily Power of 3 and spotting possible market manipulation.
🔹 New York Stock Exchange Open (09:30 EST)
The NYSE Open is a major liquidity event, where price seeks liquidity from earlier in the day, like stop hunts or retracements to the London or Midnight Open. This time often brings reversals or trend continuations as volatility increases.
🔹 Previous Day High/Low
These levels show where liquidity rests, often serving as targets for price revisits, ideal for reversals or continuation trades.
🔹 Previous Week High/Low
Similar to daily levels but on a larger scale. They help identify swing trades and track broader market trends.
🔹 Previous Month High/Low
These monthly levels are important for long-term traders, as price often aims to clear them before setting new trends or market cycles.
Happy Trading!
TheTickMagnet
Spiral Levels [ChartPrime]SPIRAL LEVELS
⯁ OVERVIEW
The Spiral Levels [ ChartPrime ] indicator, designed for use on TradingView and developed with Pine Script™ , leveraging a combination of traditional pivot points and spiral geometry to visualize support and resistance levels on the chart. By plotting spirals from pivot points, the indicator provides a distinctive perspective on potential price movements.
It's an experiment inspired from spirals in the Pine documentation and the concept of using spirals to add padding/offsets to SR zones in a market (an idea we plan to expand on in the future).
◆ USAGE
● Identifying Pivot Points: The indicator identifies significant pivot highs and lows based on user-defined criteria.
● Filtered Pivot Points: Pivot points for spirals are filtered using volume and high/low thresholds to ensure they are significant.
● Spiral Visualization: Spirals are plotted from these pivots, indicating potential future support and resistance levels or as liquidity zones.
Additionally, the plotted levels can serve as liquidity zones where the price might attempt to grab liquidity, providing a deeper understanding of market behavior at significant volume levels.
● Volume-Based Coloring: Spirals are colored based on volume data, providing additional context about the strength of the price movement.
● Labeling and Line Extensions: Labels display volume information, and lines extend from the end of the spirals to the current bar for clarity.
● Spiral Rotation: By adjusting the "Number of spiral rotations" input, you can control the number of rotations each spiral makes around a pivot point, offering more detailed insights. This also allows you to control the distance of levels from a pivot. More rotations will extend the spiral further from the pivot point, potentially identifying support and resistance levels or liquidity zones at greater distances.
This modification emphasizes that the number of rotations not only provides more detailed insights but also affects the spatial distribution of the identified levels relative to the pivot point.
⯁ USER INPUTS
● Pivots
Left Bars: Determines the number of bars to the left of the pivot.
Right Bars: Determines the number of bars to the right of the pivot.
● Filter
Volume Filter: Sets the threshold for volume filtering.
High & Low Filter: Sets the threshold for filtering pivot highs and lows.
● Spiral
Spirals Shown: Specifies the number of spirals to be displayed on the chart.
Number of spiral rotations: Sets the number of rotations for each spiral.
X Scale: Adjusts the horizontal scale of the spirals.
Y Scale: Adjusts the vertical scale of the spirals, relative to the ATR(200).
Reverse Spirals: Option to reverse the direction of the spirals.
⯁ TECHNICAL NOTES
The indicator uses Pine Script's polyline feature for smooth spiral rendering.
It implements a custom cross detection function to manage line and label visibility.
The script is optimized to limit calculations to the last 1000 bars for performance.
It automatically manages the number of displayed elements to prevent clutter and ensure smooth performance.
The Spiral Levels ChartPrime indicator offers a unique and visually engaging method to identify potential support and resistance levels. By integrating volume data and pivot points with spiral geometry, traders can gain valuable insights into market dynamics and make more informed trading decisions.
BTC x M2 Divergence (Weekly)### Why the "M2 Money Supply vs BTC Divergence with Normalized RSI" Indicator Should Work
IMPORTANT
- Weekly only indicator
- Combine it with BTC Halving Cycle Profit for better results
The "M2 Money Supply vs BTC Divergence with Normalized RSI" indicator leverages the relationship between macroeconomic factors (M2 money supply) and Bitcoin price movements, combined with technical analysis tools like RSI, to provide actionable trading signals. Here's a detailed rationale on why this indicator should be effective:
1. **Macroeconomic Influence**:
- **M2 Money Supply**: Represents the total money supply, including cash, checking deposits, and easily convertible near money. Changes in M2 reflect liquidity in the economy, which can influence asset prices, including Bitcoin.
- **Bitcoin Sensitivity to Liquidity**: Bitcoin, being a digital asset, often reacts to changes in liquidity conditions. An increase in money supply can lead to higher asset prices as more money chases fewer assets, while a decrease can signal tightening conditions and lower prices.
2. **Divergence Analysis**:
- **Economic Divergence**: The indicator calculates the divergence between the percentage changes in M2 and Bitcoin prices. This divergence can highlight discrepancies between Bitcoin's price movements and broader economic conditions.
- **Market Inefficiencies**: Large divergences may indicate inefficiencies or imbalances that could lead to price corrections or trends. For example, if M2 is increasing (indicating more liquidity) but Bitcoin is not rising proportionately, it might suggest a potential upward correction in Bitcoin's price.
3. **Normalization and Smoothing**:
- **Normalized Divergence**: Normalizing the divergence to a consistent scale (-100 to 100) allows for easier comparison and interpretation over time, making the signals more robust.
- **Smoothing with EMA**: Applying Exponential Moving Averages (EMAs) to the normalized divergence helps to reduce noise and identify the underlying trend more clearly. This double-smoothed divergence provides a clearer signal by filtering out short-term volatility.
4. **RSI Integration**:
- **RSI as a Momentum Indicator**: RSI measures the speed and change of price movements, indicating overbought or oversold conditions. Normalizing the RSI and incorporating it into the divergence analysis helps to confirm the strength of the signals.
- **Combining Divergence with RSI**: By using RSI in conjunction with divergence, the indicator gains an additional layer of confirmation. For instance, a bullish divergence combined with an oversold RSI can be a strong buy signal.
5. **Dynamic Zones and Sensitivity**:
- **Good DCA Zones**: Highlighting zones where the divergence is significantly positive (good DCA zones) indicates periods where Bitcoin might be undervalued relative to economic conditions, suggesting good buying opportunities.
- **Red Zones**: Marking zones with extremely negative divergence, combined with RSI confirmation, identifies potential market tops or bearish conditions. This helps traders avoid buying into overbought markets or consider selling.
- **Peak Detection**: The sensitivity setting for detecting upside down peaks allows for early identification of potential market bottoms, providing timely entry points for traders.
6. **Visual Cues and Alerts**:
- **Clear Visualization**: The plots and background colors provide immediate visual feedback, making it easier for traders to spot significant conditions without deep analysis.
- **Alerts**: Built-in alerts for key conditions (good DCA zones, red zones, sell signals) ensure traders can act promptly based on the indicator's signals, enhancing the practicality of the tool.
### Conclusion
The "M2 Money Supply vs BTC Divergence with Normalized RSI" indicator integrates macroeconomic data with technical analysis to offer a comprehensive view of Bitcoin's market conditions. By analyzing the divergence between M2 money supply and Bitcoin prices, normalizing and smoothing the data, and incorporating RSI for momentum confirmation, the indicator provides robust signals for identifying potential buying and selling opportunities. This holistic approach increases the likelihood of capturing significant market movements and making informed trading decisions.
Reversal Pivot PointsThis indicator aims to identify price levels where price action has quickly reversed from. These "pivots" establish major levels where major liquidity is located. Unlike standard support and resistance levels, when price breaks below or above a pivot, these pivots disappear from the chart. Comes with various customization features built to fit all.
Features
Pivot Timeframe: Identify and plot pivots from one specific timeframe and see it from all lower timeframes
Pivot left/right bar limit: A feature aimed at preventing false pivots identification
Remove On Close (ROC): Feature to only remove pivots once price close under it
ROC Timeframe: The timeframe the script uses to determine if the candle closed under the level
Wait For Close: Will only remove the pivot after the current candle closes
Line Extension Type: The extension of the line. None - extends line to current time, left - only extends line to the left, right - only extends line to the right, both - extends line both directions
Line Offset: How much to offset (in bars) the line and label from the current candle
Line Type: The style of line when plotted. Solid (─), dotted (┈), dashed (╌), arrow left (←), arrow right (→), arrows both (↔)
Display Level: Whether to or not to display the price of the pivot
Display Perfect Level: Whether to or not to display levels where price perfectly rejected off of
Alerts: Creates an alert when a level has been crossed
How to trade
1. Pivots can be traded to or from. The stock market (market makers) will tend to "chase" liquidity in order to fill orders at better averages. This allows us retail traders to to participate alongside these moves to these pivots. Once price action hits a pivot, it can do two things: break the pivot and continue or bounce off it. We can participate alongside these bounces after confirmation of a reversal (doji, volume, etc). These bounce plays are high risk as it's generally 50-50, but the risk to reward is typically also very high, making them very valuable to take.
2. Typically, the market is a fluid environment and should be "natural," so perfect things (manmade and filled with liquidity) should not occur. With this knowledge, we can expect these perfect levels, "PDT/PDB," to break as they are not natural occurrence and have heavy liquidity on and above/below them. We can trade to these levels and expect them to break/sweep if price action comes near them again.
ICT Silver Bullet | Flux Charts💎 GENERAL OVERVIEW
Introducing our new ICT Silver Bullet Indicator! This indicator is built around the ICT's "Silver Bullet" strategy. The strategy has 5 steps for execution and works best in 1-5 min timeframes. For more information about the process, check the "HOW DOES IT WORK" section.
Features of the new ICT Silver Bullet Indicator :
Implementation of ICT's Silver Bullet Strategy
Customizable Execution Settings
2 NY Sessions & London Session
Customizable Backtesting Dashboard
Alerts for Buy, Sell, TP & SL Signals
📌 HOW DOES IT WORK ?
ICT's Silver Bullet strategy has 5 steps :
1. Mark your market sessions open (This indicator has 3 -> NY 10-11, NY 14-15, LDN 03-04)
2. Mark the swing liquidity points
3. Wait for market to take down one liquidity side
4. Look for a market structure-shift for reversals
5. Wait for a FVG for execution
This indicator follows these steps and inform you step by step by plotting them in your chart. You can switch execution types between FVG and MSS.
🚩UNIQUENESS
This indicator is an all-in-one suit for the ICT's Silver Bullet concept. It's capable of plotting the strategy, giving signals, a backtesting dashboard and alerts feature. It's designed for simplyfing a rather complex strategy, helping you to execute it with clean signals. The backtesting dashboard allows you to see how your settings perform in the current ticker. You can also set up alerts to get informed when the strategy is executable for different tickers.
⚙️SETTINGS
1. General Configuration
Execution Type -> FVG execution type will require a FVG to take an entry, while the MSS setting will take an entry as soon as it detects a market structure-shift.
MSS Swing Length -> The swing length when finding liquidity zones for market structure-shift detection.
Breakout Method -> If "Wick" is selected, a bar wick will be enough to confirm a market structure-shift. If "Close" is selected, the bar must close above / below the liquidity zone to confirm a market structure-shift.
FVG Detection -> "Same Type" means that all 3 bars that formed the FVG should be the same type. (Bullish / Bearish). "All" means that bar types may vary between bullish / bearish.
FVG Detection Sensitivity -> You can turn this setting on and off. If it's off, any 3 consecutive bullish / bearish bars will be calculated as FVGs. If it's on, the size of FVGs will be filtered by the selected sensitivity. Lower settings mean less but larger FVGs.
2. TP / SL
TP / SL Method -> If "Fixed" is selected, you can adjust the TP / SL ratios from the settings below. If "Dynamic" is selected, the TP / SL zones will be auto-determined by the algorithm.
Risk -> The risk you're willing to take if "Dynamic" TP / SL Method is selected. Higher risk usually means a better winrate at the cost of losing more if the strategy fails.
Close Position @ Session End -> If this setting is enabled, the current position (if any) will be closed at the beginning of a new session, regardless if it hit the TP / SL zone. If it's off, the position will be open until it hits a TP / SL zone.
Data from dataThe "Data from Data" indicator, developed by OmegaTools, is a sophisticated and versatile tool designed to offer a nuanced analysis of various market dynamics, catering to traders and investors seeking a comprehensive understanding of price movements considering a large amount of data and variables.
The uses of this indicator are nonconventional. You can use the indicator as a stand-alone tool on the chart, hiding the current symbol price data, to be able to analyze the price action with the Semaphore visualization method, you can also hide the indicator and choose from your favorite indicators and oscillator one of the data output as a source to have additional insight on the asset.
The last use of this indicator, which depends on the X Value that you set in the settings, is to have a possible scenario for the future outcomes of the markets. Remember that there is no tool that can really predict what the market will do in the future, this tool applies a large amount of formulas to use past prices as an indication that aims to be as close as possible to the future prices. The X Value not only changes the lookback of the formulas but also changes the number of future scenarios that the indicator will plot on the chart.
Key Features:
1. Rate of Change Analysis:
The indicator evaluates the rate of change variations in closing prices, providing insights into the current rate of change and expected rate of change variation.
2. Momentum Analysis:
Momentum is analyzed through calculations involving simple moving averages, offering expected values derived from momentum and momentum variation.
3. High/Low Variation:
The expected market behavior is assessed based on the average variation between high and low prices, contributing to a more holistic analysis.
4. Liquidity Targets:
Liquidity targets can be found by analyzing the highs and lows in the direction of the current fair price.
5. Regression Sequence:
Linear regression analysis is applied to closing prices, assessing momentum and providing expected values based on regression sequences.
6. Volume Presence:
The indicator evaluates the Rate of Change (ROC) by volume presence, offering insights into price movements influenced by trading volume.
7. Liquidity Grabs:
Expected market behavior is determined based on liquidity grabs, considering both current and historical price levels.
8. Fair Value Analysis:
Expected values are derived from fair value closes and fair value highs and lows, contributing to a more nuanced analysis of market conditions.
9. STT (Sequential Trend Test):
The Sequential Trend Test is employed to analyze market trends, providing expected values for a more informed decision-making process.
Visualization:
The indicator shows a "Semaphore" on the chart, visually representing all of the data extrapolated from the script. The visualization can be more minimalistic or more complex, to let the user decide that, in the settings, it's possible to decide if to show all of the data or only the average.
Additionally, the user can choose to display bars on the chart, that visualize the standard high and low of the price data, with the difference between the expected forecasted value and the actual closing price.
My suggestion is to try to change the colors of the data to fit best your eye and the data that you find more useful, and also to try to change some parameters from circle to line as a visualization method to catch with more ease some price patterns.
Error Analysis:
The indicator provides a detailed error analysis, including historical error, average error, and present error. This information is presented in a user-friendly table for quick reference. This table can be used to analyze the margin of error of the expected future price.
LIT - TimingIntroduction
This Script displays the Asia Session Range, the London Open Inducement Window, the NY Open Inducement Window, the Previous Week's high and low, the Previous Day's highs and lows, and the Day Open price in the cleanest way possible.
Description
The Indicator is based on UTC -7 timing but displays the Session Boxes automatically correct at your chart so you do not have to adjust any timings based on your Time Zone and don't have to do any calculations based on your UTC. It is already perfect.
You will see on default settings the purple Asia Box and 2 grey boxes, the first one is for the London Open Inducement Window (1 hour) and the second grey box is for the NY Open Inducement Window (also 1 hour)
Asia Range comes with default settings with the Asia Range high, low, and midline, you can remove these 3 lines in the settings "style" and untick the "Lines" box, that way you only will have the boxes displayed.
Special Feature
Most Timing-based Indicators have "bugged" boxes or don't show clean boxes at all and don't adjust at daylight savings times, we made sure that everything automatically gets adjusted so you don't have to! So the timings will always display at the correct time regarding the daylight savings times.
Combining Timing with Liquidity Zones the right way and in a clear, clean, and simple format.
Different than others this script also shows the "true" Asia range as it respects the "day open gap" which affects the Asia range in other scripts and it also covers the full 8 hours of Asia Session.
Additions
You can add in the settings menu the last week's high and low, the previous day's high and low, and also the day's open price by ticking the boxes in the settings menu
All colors of the boxes are fully adjustable and customizable for your personal preferences. Same for the previous weeks and day highs and lows. Just go to "Style" and you can adjust the Line types or colors to your preferred choice.
Recommended Use
The most beautiful display is on the M5 Timeframe as you have a clear overview of all sessions without losing the intraday view. You can also use it on the M1 for more details or the M15 for the bigger picture. The Template can hide on higher time frames starting from the H1 to not flood your chart with boxes.
How to use the Asia Session Range Box
Use the Asia Range Box as your intraday Guide, keep in mind that a Breakout of Asia high or low induces Liquidity and a common price behavior is a reversal after the fake breakout of that range.
How to use the London Open and NY Open Inducement Windows
Both grey boxes highlight the Open of either London Open or NY Open and you should keep an eye out for potential Liquditiy Graps or Mitigations during that times as this is when they introduce major Liquidity for the regarding Session.
How to use the Asia high, low and midline and day open price
After Asia Range got taken out in one direction, often price comes back to those levels to mitigate or bounce off, so you can imagine those zones as support and resistance on some occasions, recommended in combination with Imbalances.
How to use the previous day and week's highs and lows
Once added in the settings, you can display those price levels, you can use them either as Liquidity Targets or as Inducement Levels once they are taken out.
Enjoy!
