Enhanced Global M2 Tracking - MJH12785Track M2 liquidity globally with regional control, BTC correlation insights, and automatic offset discovery. An upgrade from traditional M2 tools:
✔️ Region-selectable M2 aggregation
✔️ BTC correlation analysis w/ Optimal Offset Seek
✔️ Dynamic unit scaling (millions → trillions)
✔️ Visual trend correlation bands
✔️ Global region summary table
✔️ Dual-axis overlay with crypto/asset price
Göstergeler ve stratejiler
Bollinger Bands & EMA 5,10,20,50,144,169,576,676Bollinger Bands & EMA 5,10,20,50,144,169,576,676
方便大家可以使用更多的指标,避免没有会员的指标限制
It is convenient for everyone to use more indicators and avoid the indicator restrictions of non-members
Previous Day & Premarket Levels (dp)Many traders use the previous day’s high and low, along with the premarket high and low, to plan their daily strategies—especially when trading SPY or QQQ options (calls or puts).
This indicator automatically draws those key levels as horizontal lines, giving you a clear view of potential support and resistance zones right at market open.
It’s best suited for intraday charts such as the 1-minute, 5-minute, or 15-minute timeframes.
Bullish/Bearish Market IndicatorIt shows clearly if bullish or bearish, it is a very clear pine and a game changer
MEO PRO: BIST Market Strength Oscillator / Piyasa Gücü OsilatörüMEO PRO: BIST Market Strength Oscillator
MEO PRO: BIST Market Strength Oscillator helps you gauge the overall strength of the market by showing how many of your selected Borsa Istanbul (BIST) symbols are trading above their specified moving average. This tool, which generates a value between 0 and 1, provides insight into the general direction of BIST.
Features
* Measures the overall strength of the BIST market.
* Tracks up to 7 user-defined BIST symbols (indices, stocks, etc.).
* Adjustable Moving Average (MA) period for trend determination.
* Adjustable smoothing (EMA) period for the oscillator.
* Clear oscillator output ranging from 0 to 1.
* Key reference levels: Strong Bullish (0.80), Neutral Zone (0.50), Strong Bearish (0.20).
* The indicator's user interface (settings, tooltips) is in Turkish.
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Who Is It For?
* Borsa Istanbul (BIST) investors and technical analysts.
* Those who want to get an idea about the overall market strength and market breadth.
* Those looking for an additional confirmation and assessment tool for their existing technical analysis methods.
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How to Use?
1. Adding to Chart:
In TradingView, search for "MEO PRO: BIST Market Strength Oscillator" in the "Indicators" section and add it to your chart.
2. Settings:
MA Period for Trend: Determines the MA against which tracked symbols are evaluated (e.g., 50).
Oscillator Smoothing Period: Smoothes the oscillator line (e.g., 10).
Symbols to Track: Enter up to 7 BIST symbols (e.g., "BIST:XU100", "BIST:GARAN") and activate them.
3. Interpretation:
* If the oscillator is at 0.80 or above, it generally indicates a strong bullish trend in the market.
* If the oscillator is at 0.20 or below, it generally indicates a strong bearish trend in the market.
* Values around 0.50 may suggest an indecisive or sideways market.
* Important Note: This oscillator should not be used as a standalone buy/sell signal but as a decision support tool in conjunction with other analyses.
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Frequently Asked Questions (FAQ)
Q: Does this indicator only work for BIST?
A: Yes, it is primarily designed for Borsa Istanbul (BIST) symbols and market conditions.
Q: How many symbols can I track at most?
A: There are 7 symbol inputs in the settings.
Q: Why does the oscillator range between 0 and 1?
A: The oscillator shows the ratio of active symbols above their MA to the total number of active symbols; this ratio is always between 0 and 1.
Q: Does this indicator provide definitive buy/sell signals?
A: No. The MEO PRO BIST Market Strength Oscillator is an analysis tool that provides insight into the overall market condition. Trading decisions should be based on your personal risk assessment and other analyses.
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Disclaimer
* This indicator is for educational and informational purposes only and does not constitute investment advice.
* Past market performance is not a guarantee of future results.
* You are solely responsible for any trades you make using this indicator. Trading in financial markets involves risk of loss.
* It is important to conduct your own research and, if necessary, consult a licensed financial advisor before making any investment decisions.
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TradingView Terms of Use
By using this indicator on the TradingView platform, you agree to TradingView's Terms of Use. You can access the current terms of use at www.tradingview.com
MirPapa_Handler_HTFLibrary "MirPapa_Handler_HTF"
High Time Frame Handler Library:
Provides utilities for working with High Time Frame (HTF) and chart (LTF) conversions and data retrieval.
IsChartTFcomparisonHTF(_chartTf, _htfTf)
IsChartTFcomparisonHTF
@description
Determine whether the given High Time Frame (HTF) is greater than or equal to the current chart timeframe.
Parameters:
_chartTf (string) : The current chart’s timeframe string (examples: "5", "15", "1D").
_htfTf (string) : The High Time Frame string to compare (examples: "60", "1D").
@return
Returns true if HTF minutes ≥ chart minutes, false otherwise or na if conversion fails.
GetHTFrevised(_tf, _case)
GetHTFrevised
@description
Retrieve a specific bar value from a Higher Time Frame (HTF) series.
Supports current and historical OHLC values, based on a case identifier.
Parameters:
_tf (string) : The target HTF string (examples: "60", "1D").
_case (string) : A case string determining which OHLC value and bar offset to request:
"b" → HTF bar_index
"o" → HTF open
"h" → HTF high
"l" → HTF low
"c" → HTF close
"o1" → HTF open one bar ago
"h1" → HTF high one bar ago
"l1" → HTF low one bar ago
"c1" → HTF close one bar ago
… up to "o5", "h5", "l5", "c5" for five bars ago.
@return
Returns the requested HTF value or na if _case does not match any condition.
GetHTFfromLabel(_label)
GetHTFfromLabel
@description
Convert a Korean HTF label into a Pine Script-recognizable timeframe string.
Examples:
"5분" → "5"
"1시간" → "60"
"일봉" → "1D"
"주봉" → "1W"
"월봉" → "1M"
"연봉" → "12M"
Parameters:
_label (string) : The Korean HTF label string (examples: "5분", "1시간", "일봉").
@return
Returns the Pine Script timeframe string corresponding to the label, or "1W" if no match is found.
GetHTFoffsetToLTFoffset(_offset, _chartTf, _htfTf)
GetHTFoffsetToLTFoffset
@description
Adjust an HTF bar index and offset so that it aligns with the current chart’s bar index.
Useful for retrieving historical HTF data on an LTF chart.
Parameters:
_offset (int) : The HTF bar offset (0 means current HTF bar, 1 means one bar ago, etc.).
_chartTf (string) : The current chart’s timeframe string (examples: "5", "15", "1D").
_htfTf (string) : The High Time Frame string to align (examples: "60", "1D").
@return
Returns the corresponding LTF bar index after applying HTF offset. If result is negative, returns 0.
Volumatic Variable Index Dynamic Average [BigBeluga]Added alerts "Trend up" or "Tren down" to the VIDYA indicator. Thanks to BigBeluga.
HMA 200/150 Trading StrategyThis strategy uses the Hull Moving Average (HMA) to generate buy and sell signals based on price action relative to the HMA 200, with take profit signals based on the HMA 150. It includes a configurable date range for backtesting, allowing users to test the strategy over specific periods.
How It Works
Entry Signals:
Buy: Triggered when the price closes above the HMA 200.
Sell: Triggered when the price closes below the HMA 200.
Take Profit Signals:
Buy Take Profit: Exits the buy position when the price closes below the HMA 150.
Sell Take Profit: Exits the sell position when the price closes above the HMA 150.
Backtest Period: Users can set start and end dates (year, month, day) to limit the strategy’s execution to a specific time range for backtesting purposes.
Settings
Start Year/Month/Day: Set the start date for backtesting (default: January 1, 2023).
End Year/Month/Day: Set the end date for backtesting (default: December 31, 2025).
Visuals
HMA 200: Plotted in blue, used for entry signals.
HMA 150: Plotted in orange, used for take profit signals.
Buy Signal: Green triangle below the bar.
Sell Signal: Red triangle above the bar.
Take Profit Signals: Yellow diamonds (above for buy TP, below for sell TP).
Usage
Add the strategy to your chart.
Adjust the backtest period in the settings to analyze performance over a specific time frame.
Monitor the plotted HMA lines and signals for potential trade entries and exits.
Backtest on your preferred timeframe and asset to evaluate performance.
Notes
This strategy is designed for trend-following and works best in trending markets.
Always test the strategy on a demo account before using it in live trading.
Performance may vary depending on the asset, timeframe, and market conditions.
Disclaimer
This strategy is for educational purposes only and should not be considered financial advice. Trading involves risk, and past performance is not indicative of future results. Always conduct your own research and risk management.
All-Time High Anchored AVWAP + Custom MAs[Gaurav Vashisht]This indicator combines an Anchored VWAP (AVWAP) from the All-Time High (ATH) of any chart with four customizable moving averages.
Features:
All-Time High AVWAP: Plots an AVWAP (using OHLC4) starting from the bar where the stock made its all-time high. Updates automatically if a new ATH occurs.
ATH Visual Anchor: Blue triangle marks the ATH/anchor bar.
Customizable MAs: Four moving averages—10, 20, 50, 200 periods. For each, choose between SMA or EMA in the settings.
Color-coded MAs:
10 MA: Yellow
20 MA: Aqua
50 MA: Orange
200 MA: Fuchsia
Overlays everything on the price chart for easy analysis.
How to use:
Add this indicator to your chart.
The red AVWAP line displays the average price (volume-weighted) since the all-time high.
Change the MA type (SMA/EMA) for each moving average to suit your style.
Use in combination for trend following, mean reversion, or identifying key support/resistance.
OA - Sigma BandsDescription:
The OA - Sigma Bands indicator is a fully adaptive, volatility-sensitive dynamic band system designed to detect price expansion and potential breakouts. Unlike traditional fixed-width Bollinger Bands, OA - Sigma Bands adjust their boundaries based on a combination of standard deviation (σ) and Average Daily Range (ADR), making them more responsive to real market behavior and shifts in volatility.
Key Concepts & Logic
This tool constructs three distinct band regions:
Sigma Bands (±σ):
Calculated using the standard deviation of the closing price over a user-defined lookback period. This acts as the core volatility filter to identify statistically significant price deviations.
ADR Zones (±ADR):
These zones provide an additional layer based on the percentage average of daily price ranges over the last 20 bars. They help visualize intraday or short-term expected volatility.
Dynamic Adjustment Logic:
When price breaks outside the upper/lower sigma or ADR boundaries for a defined number of bars (user input), the system recalibrates. This ensures that the bands evolve with volatility and don’t remain outdated in trending markets.
Inputs & Customization
Sigma Multiplier: Set how wide the sigma bands should be (default: 1.5).
Lookback Period: Controls how many bars are used to calculate the standard deviation (default: 200).
Break Confirmation Bars: Determines how many candles must close beyond a boundary to trigger band recalibration.
ADR Period: Internally fixed at 20 bars for stable short-term volatility measurement.
Full Color Customization: Customize the band colors and fill transparency to suit your chart style.
Benefits & Use Cases
Breakout Trading: Detect when price exits statistically significant ranges, confirming trend expansion.
Mean Reversion: Use the outer bands as potential reversion zones in sideways or low-volatility markets.
Volatility Awareness: Visually identify when price is compressed or expanding.
Dynamic Structure: The auto-updating nature makes it more reliable than static historical zones.
Overlay-Ready: Designed to sit directly on price charts with minimal clutter.
Disclaimer
This script is intended for educational and informational purposes only. It does not constitute investment advice, financial guidance, or a recommendation to buy or sell any security. Always perform your own research and apply proper risk management before making trading decisions.
If you enjoy this script or find it useful, feel free to give it or leave a comment!
Bot LabelsLive 1-minute BTCGBP chart with automated VWAP, current volume, and 20-bar average volume labels. Designed for bot integration to detect high-volume breakouts or momentum shifts. Updated every minute with real-time data for precision entry signals. Ideal for algorithmic trading or volume-based strategy monitoring.
PCA Regime & Conviction IndexThis indicator diagnoses the underlying character and conviction of the market's current behavior, going far beyond simple price direction.
Instead of just asking "Is the market going up or down?", this tool answers the more critical question: "How is the market moving right now?"
To do this, it provides two key pieces of information:
1. It Identifies the Current Market Phase.
The indicator classifies the market's behavior into one of four distinct phases, which are displayed as a clear background color and an explicit text label:
Quiet Bull: A steady, healthy, low-volatility uptrend.
Volatile Bull: An explosive, energetic, or potentially exhaustive uptrend.
Quiet Bear: A slow, grinding, low-volatility downtrend or "bleed."
Volatile Bear: A sharp, high-energy, or panic-driven downtrend.
This tells you the fundamental personality of the market at a glance.
2. It Measures the Conviction of That Phase.
Alongside identifying the phase, the indicator plots a "Conviction Index"—a clear gold line oscillating between 0 and 100. This index measures the strength and clarity of the current market phase.
A high conviction level (e.g., above 75) means the current phase is strong, stable, and decisive.
A low conviction level (e.g., below 25) means the phase is weak, uncertain, and lacks energy.
The Ultimate Benefit:
By understanding both what the market is doing (the phase) and how strongly it's doing it (the conviction), a trader can make more intelligent decisions. It helps you adapt your strategy in real-time by providing a clear framework to:
Confidently pursue trends when the market is in a high-conviction "Quiet Bull" or "Quiet Bear" phase.
Exercise caution and manage risk during high-conviction "Volatile" phases.
Avoid whipsaws and frustration by recognizing when the market has low conviction and is likely to be choppy and unpredictable, regardless of the phase.
Digital RSI Display (Bottom-Right)Digitial display bottom right of chart, displays RSI live during market hours.
Over 70 RSI turns red to indicate overbought
Under 30 RSI turns green to indicate oversold
SImple & easy.
Critical Pivot PointsCritical pivot points, marked on chart.
Top pivot points marked with green box
Bottom pivot points marked with red box
Simple & easy!
Golden SMA 50 200Two simple moving averages (short-term vs long-term), e.g. 50-day and 200-day SMA.
Signal: Enter long (bullish) when the short MA crosses above the long MA (a Golden Cross); exit (or go short) when it crosses below (a Death Cross). This classic trend-following combo keeps you in bull markets and gets you out during prolonged downtrends. In Bitcoin, using a MA crossover on daily charts filters out noise and catches the big trend reversals.
Pattern DetectorPattern detector - detects double tops, double bottoms, wedges & other common patterns. Draws the lines & prints on chart what it's identifying.
⚙️ 𝓕𝓪𝓬𝓽𝓸𝓻𝓕𝓾𝓼𝓲𝓸𝓷 ⚙️ | QuantMAC⚙️ FactorFusion ⚙️ - Advanced Multi-Factor Crypto Portfolio System
🤔 What is FactorFusion?
FactorFusion is a comprehensive cryptocurrency portfolio rotation system 🔄 designed to help traders systematically identify and invest in the strongest-performing assets. Unlike basic indicators that merely signal buy or sell opportunities, FactorFusion is a complete trading framework ⚡. It analyzes up to 38 crypto assets 📊 at once—such as BONKUSD, WIFUSD, and PEPEUSD—and dynamically selects the top 3 performers 🏆 based on a combination of advanced financial metrics like alpha , beta , and a proprietary Trend Probability Index (TPI) . It also incorporates market regime detection 🔍 and a BB% market filter to ensure trades align with favorable conditions, switching to cash 💰 during choppy or bearish markets to protect your capital 🛡️. Working on previous bar close data and a visually intuitive interface, FactorFusion empowers traders to make data-driven decisions with confidence. ✨
👥 Who Should Use This Indicator?
📈 Swing Traders : Ideal for rotating positions over days to weeks based on momentum.
💼 Portfolio Managers : Offers a systematic way to allocate capital across crypto assets.
🧮 Quantitative Traders : Provides robust data and backtesting capabilities for strategy refinement.
🎯 Advanced Investors : Delivers professional-grade tools for risk management and performance analysis.
⚙️ Core Components Explained
FactorFusion 's strength lies in its multi-layered approach. Here's a detailed breakdown of its key components and how they function within the system:
📊 Alpha & Beta Analysis
Alpha 🎯: Measures an asset's excess return compared to a benchmark (default: CRYPTOCAP:OTHERS).
How It Works : Calculated over a configurable period (default: 40 bars), alpha quantifies how much an asset outperforms the market after adjusting for risk. For example, an alpha of 0.5% means the asset beats the benchmark by 0.5% daily.
Role in Selection : Only assets with alpha ≥ a threshold (default: 0.3%) are eligible, ensuring weak performers are filtered out 🚫.
Interpretation : Positive alpha (e.g., green in the table) signals potential outperformance 🟢.
Beta 📈: Assesses an asset's volatility and correlation with the market.
How It Works : Computed over 40 bars by default, beta shows how sensitive an asset is to market movements (e.g., beta of 1.2 means 20% more volatile than the benchmark).
Role : Complements alpha by providing a risk context, though it's not a direct filter in selection.
Interpretation : Helps you understand the risk exposure of top-ranked assets. ⚖️
Together, alpha and beta provide a risk-adjusted lens for identifying high-performing assets. 🔍
🔥 Trend Probability Index (TPI)
What It Is : A proprietary momentum signal derived from Bollinger Bands. 📊
(might change this to be more comprehensive in the near future)
How It Works :
Uses a base length (default: 31 bars), standard deviation length (default: 65 bars), and multiplier (default: 2.6) to calculate Bollinger Bands on the asset's price.
Converts the price's position within the bands into a percentage (BB% Multiplier: 100), then compares it to thresholds:
Positive TPI : Above 83% (bullish momentum 🚀).
Negative TPI : Below 66% (bearish momentum 📉).
Role in Selection : Only assets with positive TPI qualify for ranking, ensuring the system targets assets in strong uptrends.
Interpretation : A "Positive" TPI in the table means the asset is trending upward ⬆️, making it a candidate for selection.
🔄 Market Regime Detection
A sophisticated filter that identifies whether the market is in a trending phase (prices moving steadily up or down) or a mean-reverting phase (prices oscillating within a range). This helps decide whether to trade or stay in cash.
How It Works : It combines multiple statistical tests, each customizable, to assess market conditions. These tests contribute to a Trend Confidence Score , which determines the market regime. Here’s how each component works and is calculated:
KPSS Test (Lookback: 30, Significance: 0.05):
What It Does : Checks if prices are stationary (mean-reverting) or non-stationary (trending).
How It’s Calculated : Analyzes the last 30 bars of price data to test for a unit root—a statistical sign of a trend. It produces a test statistic; if this exceeds 0.05 (the significance level), it indicates a trend.
Why It Matters : A trending result increases the confidence score.
Choppiness Index (Period: 16, Signal: 10):
What It Does : Measures how “choppy” or sideways the market is.
How It’s Calculated : Over 16 bars, it calculates price range relative to total movement, scaled from 0 to 100. Values above 61.8 suggest high choppiness (no trend), while below 38.2 indicate a trend. A 10-bar signal line smooths the result.
Why It Matters : Low choppiness boosts the trend confidence.
Hilbert Transform (Smoothing: 24, Filter: 20):
What It Does : Breaks down price data to confirm if the market is trending or cycling.
How It’s Calculated : Uses a mathematical process (Hilbert Transform) over 24 bars to separate trend and cycle components, then applies a 20-bar filter to smooth the output.
Why It Matters : A strong trend component raises the confidence score.
DMI Component (Threshold: 25):
What It Does : Assesses the strength and direction of a trend (optional).
How It’s Calculated : Uses the Directional Movement Index (DMI) over 14 bars, comparing +DI (upward movement) and -DI (downward movement). If the difference exceeds 25, it signals a strong trend.
Why It Matters : A large difference supports a trending market.
ADF Test (Threshold: -1.5, Lookback: 30):
What It Does : Tests if prices are stationary (mean-reverting) or trending (optional).
How It’s Calculated : The Augmented Dickey-Fuller test analyzes 30 bars of price data. A test statistic below -1.5 indicates stationarity (no trend); above -1.5 suggests a trend.
Why It Matters : A non-stationary result adds to trend confidence.
Each test’s result feeds into the Trend Confidence Score . If the score exceeds a threshold (e.g., 0.25), the market is classified as trending, prompting trades. Otherwise, it’s mean-reverting, and the system avoids trading.
Aggregation : Combines these signals into a Trend Confidence Score (threshold: 0.25). If >0, the market is trending 📈; otherwise, it's mean-reverting 🔄.
Role : The system only takes positions during trending conditions, switching to cash otherwise. 💰
Interpretation : Displayed as "Trending" or "Mean Reverting" in the table, with a percentage (e.g., 75%) showing the proportion of assets trending.
🛡️ BB% Market Filter
What It Is : An additional safety check using Bollinger Band percentiles on a market index (default: CRYPTOCAP:OTHERS). 🔒
How It Works :
Calculates Bollinger Bands (Base: 35, SD Length: 40, Multiplier: 2.7) on a chosen timeframe (default: 480 minutes).
Converts the index's position into a percentage (default multiplier: 100).
Bullish : Above 83% ▲▲▲ 🟢.
Bearish : Below 44% ▼▼▼ 🔴.
Role : Ensures the broader market is bullish before allowing positions. If bearish, the system shifts to cash. 💰
Interpretation : Plotted as a green (bullish) or red (bearish) line; also shown as "BULLISH" or "BEARISH" in the table.
🔧 How It Works - The Selection Process
FactorFusion follows a rigorous, step-by-step process to manage your portfolio:
Analyzes all 38 assets for their TPI signals. 🔍
Keeps only assets with alpha ≥ 0.3% (configurable). ✅
Confirms a trending regime via statistical tests. 📈
Verifies a bullish BB% filter (if enabled). 🟢
Ranks eligible assets by alpha and selects the top 3 . 🏆
Allocates equal weight to the top 3 assets if conditions are met. ⚖️
Switches to cash if the market turns unfavorable. 💰
Applies a swap fee (default: 0.1%) on rotations for realistic performance tracking. 💸
Recalculates equity and metrics like Sharpe and Sortino ratios in real time. 📊
This ensures your portfolio stays aligned with the strongest assets in optimal market conditions. 🎯
📱 Visual Interface Breakdown
FactorFusion 's outputs are displayed in three intuitive tables and plots:
📋 Main Asset Table
Columns :
Asset : Lists all 38 assets (e.g., BONKUSD). 💎
TPI : "Positive" (🟢) or "Negative" (🔴).
Rank : "1", "2", "3" for selected assets; "N/A" otherwise. 🏆
Alpha : Excess return % (green if ≥ 0.3%). 📈
Regime : "Trending" or "Mean Reverting" per asset. 🌊
Highlights : Top 3 assets are highlighted in green when active. ✨
💼 Current Positions Table
Shows the 3 active assets (e.g., WIFUSD, PEPEUSD, DOGEUSD) or "Cash" if no positions are held. 💰
Centered for quick reference. 🎯
📊 Performance Metrics Table
Rotations : Total position changes (e.g., 150). 🔄
Sharpe : Risk-adjusted return (e.g., 2.5). 📈
Sortino : Downside risk-adjusted return (e.g., 2.1). 🛡️
Omega : Advanced performance ratio (e.g., 2). ⚡
Total : Return multiplier (e.g., 120.7x). 💰
Max DD : Maximum drawdown (e.g., -28.3%). 📉
Prev Day % : Yesterday's gain/loss (e.g., +15.5%). 📅
🎨 Visual Features
Equity Curve : Plots portfolio value (blue when in positions, white when in cash). 📈
Market Filter Plot : Tracks the BB% filter (green = bullish, red = bearish). 🚦
Background Colors : Green during trending markets, red during mean-reverting phases. 🌈
Color Schemes : Choose from Default, Sky Blue, Universo, Dark, or Midnight Blue (default: Dark). 🎨
⏰ Timeframe Recommendations
8H : Best for swing trading. 📈
1D : Suited for longer-term positions. 📅
12H : Balanced option for active management. ⚡
🔧 Key Settings You Can Customize
Alpha Threshold : Minimum outperformance (default: 0.3%). 🎯
Assets List : Edit the 38 assets (e.g., add XMRUSD, remove FARTCOINUSD). 📝
BB% Filter : Enable/disable or adjust thresholds (83% long, 44% short). 🛡️
Regime Tests : Toggle KPSS , Choppiness , etc., and set confidence levels. ⚙️
Swap Fees : Adjust transaction costs (default: 0.1%). 💸
Backtest Period : Set start date (default: January 2024). 📅
🎯 Perfect For
Eliminating emotional trading with a systematic approach. 🧠
Managing a crypto portfolio with data-driven precision. 📊
Backtesting and optimizing quantitative strategies. 🔬
Balancing risk and reward in volatile markets. ⚖️
⚠️ Important Notes
This is a portfolio rotation system , not a simple signal indicator. 🔄
Requires basic knowledge of portfolio concepts like alpha and drawdown. 📚
Optimized for higher timeframes (4H+). ⏰
Includes realistic swap fees and market filters for practical use. 💼
Protects capital by exiting to cash during poor conditions. 🛡️
🌟 Why FactorFusion Stands Out
FactorFusion blends academic financial metrics ( alpha , beta ) with crypto-specific tools ( TPI , regime detection ) to create a unique, professional-grade system. It's like having a quant analyst team at your fingertips 👥, constantly scanning the market, ranking assets, and adjusting your portfolio based on statistical edges—all in real time. ⚡
Disclaimer: Past performance is not indicative of future results. No trading strategy can guarantee success in financial markets.
Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
Works on previous bar's close data to not cause repainting issues
Ready to elevate your crypto trading? 🚀
Any Questions - DM
eriktrades1995: supply demandThe Institutional Supply and Demand Zones indicator aims to identify and mark key price reversal areas on charts. These zones are considered places where institutions (large funds) concentrate their buying (forming demand zones) or selling (forming supply zones).
The core logic involves processing each candlestick sequentially. Before identifying new zones, the indicator checks if existing ones are still valid: demand zones become invalid if the current low breaks below their bottom, and supply zones become invalid if the current high breaks above their top. The most crucial part is identifying new zones, primarily based on the combination of the "previous" and "current" candlesticks. A demand zone (potential support) typically forms when a strong bullish candlestick (e.g., engulfing or significant reversal) appears after a bearish or doji candlestick, indicating strong buying interest. Conversely, a supply zone (potential resistance) usually forms when a strong bearish candlestick appears after a bullish or doji candlestick, signaling strong selling interest. The boundaries of these zones are typically derived from the open, high, or low prices of the candlesticks that form the pattern. Finally, the indicator draws the most recent and still valid supply zones (often filled in red as resistance) and demand zones (often filled in green as support) on the chart, up to a predefined maximum number. In essence, this indicator analyzes price action, particularly comparing candlestick body sizes and engulfing relationships, to pinpoint price levels where significant institutional buying or selling power might be concentrated. These zones can then act as support or resistance when prices re-approach them in the future.
Liquidity Sweep Candlestick Pattern with MA Filter📌 Liquidity Sweep Candlestick Pattern with MA Filter
This custom indicator detects liquidity sweep candlestick patterns—price action events where the market briefly breaks a previous candle’s high or low to trap traders—paired with optional filters such as moving averages, color change candles, and strictness rules for better signal accuracy.
🔍 What is a Liquidity Sweep?
A liquidity sweep occurs when the price briefly breaks the high or low of a previous candle and then reverses direction. These events often occur around key support/resistance zones and are used by institutional traders to trap retail positions before moving the price in the intended direction.
🟢 Bullish Liquidity Sweep Criteria
The current candle is bullish (closes above its open).
The low of the current candle breaks the low of the previous candle.
The candle closes above the previous candle’s open.
Optionally, in Strict mode, it must also close above the previous candle’s high.
Optionally, it can be filtered to only show if the candle changed color from the previous one (e.g., red to green).
Can be filtered to only show when the price is above or below a moving average (if MA filter is enabled).
🔴 Bearish Liquidity Sweep Criteria
The current candle is bearish (closes below its open).
The high of the current candle breaks the high of the previous candle.
The candle closes below the previous candle’s open.
Optionally, in Strict mode, it must also close below the previous candle’s low.
Optionally, it can be filtered to only show if the candle changed color from the previous one (e.g., green to red).
Can be filtered to only show when the price is above or below a moving average (if MA filter is enabled).
⚙️ Features & Customization
✅ Signal Strictness
Choose between:
Less Strict (default): Basic wick break and close conditions.
Strict: Must close beyond the wick of the previous candle.
✅ Color Change Candles Only
Enable this to only show patterns when the candle color changes (e.g., from red to green or green to red). Helps filter fake-outs.
✅ Moving Average Filter (optional)
Supports several types of MAs: SMA, EMA, WMA, VWMA, RMA, HMA
Choose whether signals should only appear above or below the selected moving average.
✅ Custom Visuals
Show short (BS) or full (Bull Sweep / Bear Sweep) labels
Plot triangles or arrows to represent bullish and bearish sweeps
Customize label and shape colors
Optionally show/hide the moving average line
✅ Alerts
Includes alert options for:
Bullish sweep
Bearish sweep
Any sweep
📈 How to Use
Add the indicator to your chart.
Configure the strictness, color change, or MA filters based on your strategy.
Observe signals where price is likely to reverse after taking out liquidity.
Use with key support/resistance levels, order blocks, or volume zones for confluence.
⚠️ Note
This tool is for educational and strategy-building purposes. Always confirm signals with other indicators, context, and sound risk management.
Gold BBW Mean ReversionBollinger Band Width Mean Reversion Strategy.
Strategy Components:
1. Bollinger Bands Settings:
• Period (N): 20
• Standard Deviation (K): 2
• Middle Band: 20-period Simple Moving Average (SMA)
2. Bollinger Band Width (BBW):
Calculated as: BBW = (Upper Band - Lower Band) / Middle Band * 100
3. Volatility Threshold:
• Average BBW: a 100-period SMA of the BBW.
• Trigger Condition: Current BBW > 2 × 100 SM Average on BBW
4. Entry Signals:
• Long Entry:
o Price closes below the lower Bollinger Band.
o Subsequent candle closes back inside the bands.
• Short Entry:
o Price closes above the upper Bollinger Band.
o Subsequent candle closes back inside the bands.
5. Stop Loss & Take Profit:
• Stop Loss: 1.5 × Average True Range (ATR) from the entry price.
• Take Profit: Return to the middle Bollinger Band (20-period SMA).Mind Math Money
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🕒 Recommended Timeframe
A 15-minute chart is optimal for this strategy on Gold.
Premarket Sweep Strategy [ES/NQ]My first strategy.
Liquidity sweep on 2 min timeframe.
Tested on 7 trades with 100% win rate.
I am the best LOL