Indicators and strategies
Previous Month,Week,Day,4H Range + Alerts --ASTRONFUNDS--Description:
This script plots the high and low of the previous day, week, 4-hour, and month on your chart as horizontal lines. Each level is labeled on the right (e.g., PDH = Previous Day High). It visually highlights key market structure zones for support/resistance and liquidity areas.
Key Features:
• Toggles to enable/disable each timeframe
• Adjustable label position via input
• Lines start from the actual candle where the level comes from
• Alerts trigger when price breaks any of these levels
CN Signal_bot IndicatorThis CN Signal_bot indicator script is currently not public and includes the following components:
– Session Indicator
– Fractals Indicator
– Watermark Indicator
– Checklist Indicator
– Day of Week Indicator
ATS DELTABAR V5.0ATS DeltaBar Indicator: Volume Trend Momentum Analysis System
——Precisely Capturing "Price-Volume Resonance" Signals for Trend Reversals
Core Positioning
The ATS DeltaBar is a sub-chart indicator focused on the synergy between volume trends and price action. It dynamically monitors changes in volume momentum and price deviations to identify trend strengthening, exhaustion, and reversal signals. Its core value lies in:
Red/Green Bars: Visually reflect volume increases/decreases, revealing capital flow direction.
Divergence Signals: Warn of potential trend reversals (top/bottom divergence).
Resonance Breakouts/Breakdowns: Confirm high-probability trend continuation signals.
Red/Green Zones: Clearly define bullish/bearish phases (red = bearish, green = bullish).
I. Core Logic & Algorithm
1. Volume Trend Visualization
Bar Color Volume State Market Implication
Green Bar Volume ↑ vs. prior period Capital inflow, trend momentum strengthens
Red Bar Volume ↓ vs. prior period Capital outflow, trend momentum weakens
Bar Height Magnitude of volume change Quantifies intensity (higher = stronger shift)
📌 Key Insight:
Green bars + rising price = Healthy uptrend.
Red bars + price新高 = Potential top divergence risk.
2. Divergence Detection
Top Divergence: Price makes higher highs, but DeltaBar peaks lower (red bars accumulate) → Bullish exhaustion.
Bottom Divergence: Price makes lower lows, but DeltaBar troughs rise (green bars accumulate) → Bearish exhaustion.
3. Resonance Signal System
Resonance Breakout: Price breaks resistance + DeltaBar green volume spike → Confirmed uptrend acceleration.
Resonance Breakdown: Price breaks support + DeltaBar red volume spike → Confirmed downtrend weakness.
4. Bullish/Bearish Zone划分
Green Zone: DeltaBar consistently above neutral line → Bullish dominance (favor longs).
Red Zone: DeltaBar consistently below neutral line → Bearish dominance (caution for downside).
II. Signal Types & Practical Applications
1. Basic Trading Signals
Signal Type DeltaBar Behavior Trading Suggestion
Green Zone + Green Bar Price & volume rise together Hold/add to longs
Red Zone + Red Bar Price & volume decline together Short/exit longs
Top Divergence Price ↑ + DeltaBar peaks ↓ (red bars) Reduce longs/test shorts
Bottom Divergence Price ↓ + DeltaBar troughs ↑ (green bars) Prepare for reversal/cover shorts
2. Advanced Resonance Strategies
Breakout Trade: Enter when price breaks a key level + DeltaBar shows green volume spike (resonance breakout) → High-probability long.
Breakdown Trade: Enter when price breaks support + DeltaBar shows red volume spike (resonance breakdown) → High-probability short.
III. Comparison with Traditional Indicators
Aspect Traditional Volume (e.g., OBV) ATS DeltaBar
Signal Dimension Single cumulative volume direction 3D analysis: divergence + resonance + zone划分
Visualization Monotonic curve Dynamic dual-color bars + zones + threshold lines
Practicality Lags price action Real-time捕捉 divergence/resonance points
IV. Usage Scenarios & Tips
1. Trend Following
In Green Zone: Price above MA + DeltaBar green bars expanding → Hold longs.
In Red Zone: Price below MA + DeltaBar red bars expanding → Stay short/avoid longs.
2. Reversal Trading
Top Divergence + Bearish candlestick (e.g., Evening Star) + red bars → Short.
Bottom Divergence + Bullish engulfing + green bars → Long.
3. Breakout Filtering
Only trade breakouts where price and DeltaBar confirm共振 (avoids false breakouts).
V. Case Study (BTC/USDT 1H Chart)
Successful Long: Price broke resistance + DeltaBar green volume spike → 15% rally.
Successful Short: Price consolidated with red bar accumulation (top divergence) → 8% drop.
VI.注意事项
Combine with price structure (support/resistance) for higher accuracy.
Prioritize divergence in ranging markets; focus on共振 signals in trending markets.
"Volume is the fuel of price" — ATS DeltaBar quantifies this relationship to pinpoint trend ignition and reversal points.
GOD Complex Analysis Table By QTX Algo SystemsGOD Complex Analysis Table by QTX Algo Systems
Overview
The GOD Complex Analysis Table is a powerful visual companion for traders using the GOD Complex ecosystem. It displays detailed confluence scores for each trade type (Reversal Long, Reversal Short, Continuation Long, Continuation Short), offering a breakdown of required vs. extra signals, as well as multi-timeframe (MTF) scores and bias.
This tool is designed to help discretionary traders better understand how multiple conditions across timeframes align to support high-quality trade setups. It is not a standalone signal generator but rather an advanced diagnostic table that reveals the logic driving the GOD Complex entries.
How It Works
Each row in the table represents a trade type (e.g., Reversal Long), and includes:
Required Score – Based on must-have conditions for that trade type (e.g., oversold levels, statistical extremes, key momentum shifts).
Extra Score – Bonus confluence points from higher timeframe agreement, slope shifts, or secondary confirmation indicators.
Total Score – Combined Required + Extra score (max 200), useful for comparing relative strength across trade types.
Breakdown Columns – Show exactly which conditions are currently satisfied or missing, categorized as Required or Extra.
MTF Scores – Score-based analysis across 5m to 1M timeframes, highlighting how confluence changes with zoomed-out perspectives.
MTF Bias Row – Net bullish vs. bearish confluence per timeframe (positive = green, negative = red).
Indicators Used (All Proprietary QTX Tools)
VBM (Volatility-Based Momentum): Confirms directional trend and volatility environment.
VBSMI (Volatility-Based SMI): Adapts momentum oscillator based on market conditions and tilt logic.
SEA (Statistically Extreme Areas): Identifies when price reaches statistically rare volatility/range zones.
SPB (Statistical Price Bands): Tracks dynamically adjusted support/resistance based on percentile deviation.
COI (Continuation Opportunity Indicator): Detects pullback exhaustion and momentum re-acceleration opportunities.
Each trade type (Reversal or Continuation) is scored based on these tools across local and higher timeframes.
Key Table Features
🔍 Reversal Scoring Logic
Reversal trades must meet key oversold/overbought criteria (e.g., VBSMI extremes, SEA/SPB triggers) and be supported by trend weakness or exhaustion in the COI/VBM logic. High confluence across timeframes boosts the score.
📈 Continuation Scoring Logic
Continuations require strong trend alignment (VBM, COI), confirmation of momentum (VBSMI cross + slope), and lack of statistical extremes (no SEA/SPB hits). HTF agreement increases the score further.
🧠 Multi-Timeframe (MTF) Scoring
MTF scores are generated by evaluating each trade type’s core confluence across timeframes (e.g., 5m, 1H, 1D, etc.). This helps traders gauge how well a setup aligns with the broader market structure.
📊 Bias Coloring
The MTF Bias row shows net directional strength. Green = bullish bias. Red = bearish bias. Gray = neutral.
🔎 Factors Breakdown
View factors for each trade type. These factors explain which required and extra conditions are currently contributing or missing.
Customization Options
Table position (top/bottom, left/right)
Table size (small, medium, large)
Show/hide trade type rows
Enable/disable breakdown details
Toggle MTF Score section
Use Cases
Analyze high-confluence setups for discretionary trade planning
Cross-check live trades to understand setup quality
Confirm MTF alignment before entries
Study historical patterns to build intuition and strategy
Disclaimer
This indicator is for educational purposes only. It does not provide financial advice or trade recommendations. Always backtest and validate strategies before use.
Market Pulse Pro🏆 Market Pulse Pro – Canhoto Medium
✨ Private and Exclusive Indicator
🔥 Take control of the market with clarity:
Market Pulse Pro measures the real strength of buyers (Bull Herd) and sellers (Bear Winter) in real-time, with precision and intelligence.
⚙️ Advanced technology:
Combines SMI Ergodic + Stoch RSI + Smart Signal Line, with multiple moving average options to fit your trading style.
📊 Easy to use:
Bull Herd above 50%? Market is bullish – potential for upside!
Bear Winter above 50%? Market is bearish – beware of downside!
Crossovers signal trend changes.
🎯 Perfect for:
Scalping | Day Trading | Swing Trading | Multi-Timeframe Analysis
💼 Compatible with:
Any asset and timeframe — crypto, forex, stocks, indices, futures.
🔒 100% independent, no affiliations or sponsorships.
💖 Support the developer voluntarily to keep the project alive.
✔️ Donation Wallet (low-fee network):
USDT-(TRC20)= TZB4spB1XErqw9BPSWmaAkCznXb172quEY
USDT (BSC-BEP20)= 0xa177945d6fab3b2d3726366c951f4955ab338593
USDT (APTOS)= 0x47014ea8d6a22634046fa19fd8b7574db4ef702758a4d80a2d189b610438ce43
USDT (Mantle-Network)= 0xa177945d6fab3b2d3726366c951f4955ab338593
ATS Net Volume V5.0ATS Net Volume V5.0
Smart Net Volume Analysis System
Overview
ATS Net Volume V5.0 is an advanced volume-based indicator designed for institutional-level capital flow analysis. By monitoring net buying/selling pressure, it identifies the movements of major market players. The system integrates large-order filtering and dynamic price-volume equilibrium algorithms to distinguish genuine demand from market noise, providing traders with clear signals for capital inflow/outflow.
Key Features
🔹 Net Volume Dynamics
Real-time calculation of the difference between buy-side vs. sell-side volume (units: millions/billions)
Positive values indicate capital inflow (green), negative values indicate outflow (red)
🔹 Large Order Detection
Automatically filters out retail-sized trades, focusing on institutional block orders (e.g., "60M" = 60 million, "05B" = 5 billion)
Evaluates accumulation/distribution behavior relative to price levels
🔹 Multi-Timeframe Compatibility
Supports analysis from tick data to daily charts
🔹 Visual Signals
Histogram + numerical labels for intuitive net volume strength display
Threshold-based alerts (e.g., extreme values trigger overbought/oversold signals)
Data Interpretation
Use Cases
✅ Trend Confirmation
Price rise + expanding net buys → Healthy trend
Price rise + net sells → Potential bull trap
✅ Reversal Warning
Price新高 + net volume divergence → Possible topping signal
✅ Institutional Activity
Sustained large net inflows → Smart money accumulation
Sudden massive outflows → Emergency liquidation event
Signal Classification
Net Volume Range Market Implication
Above +50M Strong inflow (bullish)
+10M to +50M Moderate buying
-10M to +10M Balanced market
-10M to -50M Moderate selling
Below -50M Extreme outflow (bearish)
Advantages
🚨 Filters False Breakouts: Responds only to large-order-driven price movements
📊 Price-Volume Synergy: Avoids "low-volume rally" traps
💡 Universal Applicability: Stocks/Futures/Cryptocurrencies
Note: Always combine with price structure (support/resistance). Not a standalone trading signal.
CCI-Chaikin VolatilityCCI-Chaikin Volatility
An exclusive indicator by Canhoto Medium, developed independently with no affiliation to TradingView or brokers.
This indicator combines the Commodity Channel Index (CCI) and Chaikin Volatility to provide an accurate analysis of market movement and volatility. The CCI measures the deviation of price from its smoothed average, highlighting overbought and oversold levels, while Chaikin Volatility tracks changes in the range between highs and lows, signaling accelerations or decelerations in volatility.
With flexible options for price sources — including the sophisticated OHLC5 — and various smoothing methods (SMA, EMA, JMA, among others), the indicator adapts to diverse analytical styles.
Dynamic colors enhance visual interpretation by indicating the direction and strength of movements.
⚠️ This is a private, independent project. If you value the developer’s work, please consider contributing voluntarily to keep the project alive and support the creation of new tools for the community.
✔️ Donation Wallet (low-fee network):
USDT-(TRC20)= TZB4spB1XErqw9BPSWmaAkCznXb172quEY
USDT (BSC-BEP20)= 0xa177945d6fab3b2d3726366c951f4955ab338593
USDT (APTOS)= 0x47014ea8d6a22634046fa19fd8b7574db4ef702758a4d80a2d189b610438ce43
USDT (Mantle-Network)= 0xa177945d6fab3b2d3726366c951f4955ab338593
Sentival | QuantEdgeBIntroducing Sentival by QuantEdgeB.
An Adaptive Multi-Factor Indicator for Market Valuation & Trend Strength
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Overview
The Sentival Valuation System is a medium-term, multi-factor valuation tool designed to assess market conditions using a combination of momentum, mean reversion, and risk-adjusted metrics. It provides traders and investors with a dynamic score reflecting market valuation, ranging from strongly oversold to strongly overbought conditions.
This system leverages a diverse range of technical indicators, including momentum oscillators, volatility measures, risk ratios, and mean-reversion metrics, providing a holistic view of market conditions.
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1. Key Features
🛠 Multi-Factor Valuation Model
Sentival aggregates nine different indicators, normalizing and rescaling them into a standardized z-score-based valuation system. The final output represents an average of the selected indicators, allowing for flexible customization based on the user’s preference.
📊 Customizable Indicator Selection
Users can enable or disable any of the nine valuation factors, ensuring the system adapts to different market environments, trading styles, and assets.
🔄 Multi-Timeframe Adaptability
Sentival can be used across different time horizons, making it suitable for short-term mean reversion, medium-term traders, or long-term valuation analysis by simply adjusting the timeframe and indicator settings. This flexibility allows traders to adapt Sentival to various market conditions and trading objectives.
🎨 Intuitive Dashboard & Color Coding
- Dynamic Heatmap & Dashboard: Displays valuation strength across multiple factors.
- Gradient-Based Overbought/Oversold Signals: Clear color-coded signals for easy interpretation.
- Background Highlighting: Optional oversold/overbought background zones.
🏆 Statistical & Risk-Based Insights
- Standardized Rescaling & Z-Score Analysis to prevent bias from individual indicators.
- Risk-Adjusted Metrics such as Sharpe, Sortino, and Omega Ratios help assess the overall market risk appetite.
- Trend Following Mode (TF Display): Users can enable the "Trend Following" option to display the trend direction, helping to align valuation signals with the broader market trend.
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2. How It Works
Sentival is a multi-factor trend and momentum analysis system, designed to track market cycle shifts using a combination of volatility, momentum, risk assessment, and valuation mechanisms. Instead of focusing on one dimension of the market, Sentival integrates multiple methodologies to cross-validate signals and reduce noise. Each indicator in Sentival plays a specific role, ensuring confirmation across different market conditions.
How Each Component Works Together
1️⃣ Chande Momentum Oscillator (CMO)
• A momentum-based measure that determines whether price action is dominated by upward or downward forces.
• Works well in combination with volatility measures to confirm whether a move is sustainable.
2️⃣ Disparity Index
• Measures the distance between price and its moving average, acting as an overextension filter.
• Ensures that trend-following signals are not driven by short-term spikes but sustained trends.
3️⃣ Bollinger Bands % (BB%)
• A volatility measure that indicates how far price is from the statistical mean.
• Helps identify trend exhaustion points where price moves become unstable.
4️⃣ Relative Strength Index (RSI)
• A trend confirmation layer, ensuring that momentum strength aligns with price movement.
• Adds an additional check to prevent false breakouts.
5️⃣ Rate of Change (RoC)
• Captures the speed of price movement, ensuring that the market has enough momentum for trend continuation.
• Works well with risk indicators to filter weaker moves.
6️⃣ Price Z-Score
• A statistical tool to measure how far price is from its long-term equilibrium.
• Helps prevent entering overstretched trends too late.
7️⃣ Risk Ratios (Sharpe, Sortino, Omega)
• This is the risk-adjusted performance component, ensuring that trends have a healthy risk-reward balance.
• Helps determine when a trend has structurally strong backing rather than speculative movement.
8️⃣ Hurst Cycle Analysis
• Measures the persistence of trends by analyzing price fractals.
• Ensures that the market regime is either trending or mean-reverting, improving trade confidence.
9️⃣ Commodity Channel Index (CCI)
• Helps identify strong trend conditions, adding another layer of momentum confirmation.
• Works well with other oscillators to prevent misreading counter-trends.
🔗 Why These Components Work Well Together
• Momentum + Volatility + Risk → Instead of relying on a single category, Sentival merges multiple dimensions of market behavior into a cohesive signal.
• Filters Out False Signals → Combining momentum oscillators, volatility measures, and risk-adjusted metrics ensures high-confidence entries.
• Adaptability Across Market Regimes → Whether the market is trending, consolidating, or volatile, the system adjusts dynamically.
• Cross-Validation for Trend Strength → If multiple components align, it increases certainty that a trend is real and sustainable.
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3. Sentival Scanner - table breakdown
The dashboard-style table generated is designed to give traders a holistic market view at a glance. It processes a variety of technical signals and distills them into readable labels, visual strength bars, and actionable trend states. Here's a breakdown of what each section means:
1. Direction
This section analyzes whether the average Z-score (a composite of several indicators) is increasing, decreasing, or neutral over time. It does this using a smoothed trend of the Z-score, comparing recent values to older ones.
2. Momentum
Momentum is derived from the rate of change (RoC) of the average Z-score. It evaluates how strong the current move is. If momentum is above a certain positive threshold, it’s considered positive, if below a negative threshold, it’s negative, otherwise it’s neutral.
3. Impulse
Impulse reflects the velocity of momentum — in other words, is the market speeding up or slowing down? High positive values suggest strong acceleration (strong impulse), while negative values show deceleration or stalling.
4. Drive
This metric combines momentum and velocity to create a descriptive phrase that captures the market’s behavior. For example:
• “Strong Upside” means strong momentum with acceleration.
• “Fading Downside” means bearish momentum losing steam.
• “Neutral” appears when momentum is indecisive.
5. Deviation Distance
This represents how far the market price is from fair value in terms of standard deviation units (σ). It’s calculated using Z-scores and classified as:
• +1σ, +2σ, etc., for overvalued regions.
• −1σ, −2σ, etc., for undervalued areas.
• “At Fair Value” if close to the mean.
6. Bull and Bear Strength Bars
The system computes both bullish and bearish strength, using distance from fair value, the rate of change, and the velocity. These strengths are displayed as progress bars, giving a quick visual cue of conviction. The table labels them as:
• “Bull Conviction” if there's a long bias.
• “Bull Potential” if bullish but undecided.
• “Bear Conviction” or “Bear Potential” for short-side equivalents.
7. Trend Signal
This is a simple label that tells you if the scanner recommends a Long, Short, or Cash (neutral) stance based on threshold logic. It is based on whether the average Z-score crosses above a long threshold or below a short one.
8. Stage
The “Stage” label summarizes the valuation environment based on the composite Z-score:
• Strong Undervalued
• Moderately Undervalued
• Fair Value
• Overvalued, etc.
This stage helps traders know whether they are operating in cheap or expensive territory statistically.
Summary
Overall, this table merges advanced technical signals like momentum, volatility, valuation, and risk into a digestible format that updates dynamically with each bar. The goal is to provide traders with a 360° perspective on market conditions, tailored for both trend-following and mean-reversion strategies.
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4. Sentival Valuation Score & Interpretation
🔹 Sentival Score Ranges
- 📉 Strongly Oversold (-2 and below) → Market is extremely undervalued; potential reversal.
- 📉 Moderately Oversold (-1.5 to -2) → Discounted market conditions, buying interest may emerge.
- 📉 Slightly Oversold (-0.5 to -1.5) → Possible accumulation phase.
- ⚖ Fair Value (-0.5 to +0.5) → Market trading at equilibrium.
- 📈 Slightly Overbought (+0.5 to +1.5) → Initial signs of market strength.
- 📈 Moderately Overbought (+1.5 to +2) → Market heating up, caution warranted, selling interest may emerge.
- 📈 Strongly Overbought (+2 and above) → Extreme valuation, increased risk of correction.
This classification helps traders gauge overall market sentiment and make better allocation decisions.
Note: Past valuations and buy/sell signals generated by Sentival do not guarantee future performance. Market conditions can change, and proper risk management should always be applied.
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5. Use Cases & Applications
🔹 📊 Market Rotation & Asset Allocation
- Used as a valuation model to determine if a market or asset is undervalued or overvalued.
- Rotational strategies can benefit from the valuation score by switching exposure between assets.
🔹 📈 Medium-Term Trend Identification
- Detects overbought and oversold conditions while filtering out short-term noise.
- Can be combined with other trend-following indicators for confluence-based strategies.
🔹 🔄 Mean Reversion & Momentum Trading
- Provides statistical validation for momentum breakouts or mean reversion signals.
- Useful for long-short trading strategies, determining optimal entry & exit points.
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Conclusion
Sentival is a powerful universal valuation system for traders and investors seeking a data-driven, multi-factor approach to market valuation. With its combination of momentum, trend, risk-adjusted, and mean-reversion indicators, it provides a robust, adaptable, and statistically sound framework for making informed market decisions.
🔹 Who Should Use Sentival?
✅ Swing Traders & Medium-Term Investors looking for structured valuation metrics.
✅ Quantitative & Systematic Traders incorporating multi-factor models.
✅ Portfolio Managers optimizing exposure to different market regimes.
🔹 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.
AMR-AQR-VolSD-Loc**Dynamic Volatility Bands**
The **Dynamic Volatility Bands** indicator is a powerful tool designed to visualize price volatility and key support/resistance levels based on Average Monthly/Quarterly Range (AMR/AQR) and standard deviation calculations. It plots a base volatility line with customizable upper and lower bands (Vol +1 to +5 and Vol -1 to -5), using a vibrant color progression from blue (#2563EB) to red (#EF4444) for clear visual distinction on dark chart backgrounds like #131722.
**Key Features:**
- **Flexible Volatility Calculation**: Choose between manual standard deviation input or automatic calculation using AMR/AQR ranges, with a scaling factor for fine-tuning.
- **Customizable Levels**: Plot up to 5 upper and 5 lower volatility bands, with options for intermediate (half-step) lines.
- **AMR/AQR Integration**: Displays High, Low, 50% High, 50% Low, and Zero Point levels based on monthly or quarterly ranges, with optional monthly/quarterly open reference.
- **Visual Customization**: Configure line styles, widths, colors, and label positions (right, left, or center). Labels show price levels and can be offset for clarity.
- **Informative Table**: A dynamic table summarizes AMR/AQR levels, volatility settings, and key metrics, with customizable position and appearance.
- **Alerts**: Built-in alerts notify when the price approaches AMR/AQR levels, aiding in timely trading decisions.
**How to Use:**
1. Apply the indicator to your chart and adjust the settings under "Standard Deviation Calculation" to set the volatility source (Manual or AMR/AQR).
2. Customize the number of upper/lower bands and their appearance in the "Volatility Settings" group.
3. Enable the table and alerts to monitor key levels and price movements.
4. Use the vibrant color progression to identify volatility zones: blue for low volatility (Vol ±1) and red for high volatility (Vol ±5).
This indicator is ideal for traders seeking to identify potential support/resistance zones and gauge market volatility dynamically. It’s fully customizable to suit various trading strategies and timeframes.
**Note**: Best viewed on dark chart backgrounds (#131722) for optimal color contrast. Ensure sufficient historical data for accurate AMR/AQR calculations.
Algo BOT 3.0 Strategy (BACKTEST)Algo BOT 3.0 is a multi-layered reversal detection tool designed for 30-minute and higher timeframes, ideal for intraday or swing trading.
Key Features:
1. Pivot Level Interactions:
- Detects candles that touch daily pivot levels (R1-R4, S1-S4, Pivot).
- Confirms valid signals using high/low conditions.
2. Fibonacci-Based Candle Zones:
- Auto-detects large green/red candles.
- Calculates intra-candle Fibonacci retracement levels (0.382, 0.618).
- Marks potential retracement/reaction zones.
3. CPR Zone Detection:
- Shows Top CPR & Bottom CPR from daily high/low/pivot.
- Detects price interaction with CPR for reaction signals.
4. VWAP + MVWAP Filtering:
- Uses VWAP and a custom-length MVWAP (default 50).
- Helps confirm institutional support/resistance zones.
5. Trend Indicators:
- Includes RSI, SMA, EMA for manual trend/direction analysis.
6. Visual Alerts:
- Triangles appear when valid support/resistance touch candles form.
- Pivot and CPR levels are plotted with clear color coding.
Note:
This is a closed-source script due to its original logic combining multiple professional-grade concepts. It offers a structured and unique way to detect pivot-based reversals and breakout zones.
Best used on 30-minute or higher timeframes.
Syntropy Accumulation SystemThe Syntropy Accumulation System is a sophisticated, multi-timeframe algorithmic trading strategy meticulously designed to identify and capitalize on unique market inefficiencies. This system operates by intelligently combining insights from foundational price action patterns with dynamic volume and price flow analysis, providing a nuanced perspective on market sentiment and potential accumulation zones.
How the System Works:
At its core, the Syntropy Accumulation System employs a robust dual-confirmation approach. It leverages a "Pattern Genesis" module that scrutinizes higher timeframe price data to detect specific structural formations indicative of potential reversals or strong underlying accumulation. This module is designed to filter out noise and identify only the most compelling price symmetries.
Concurrently, a "Flux Anomaly" module analyzes a combination of price and volume behavior across different timeframes to detect divergences and shifts in market momentum. This component is crucial for confirming the strength and authenticity of the signals generated by the Pattern Genesis, ensuring that entries are aligned with genuine shifts in supply and demand rather than fleeting fluctuations.
When both the "Pattern Genesis" and "Flux Anomaly" modules align, the system generates a high-conviction "Double Entry" signal, aiming for optimal positioning. Beyond initial entries, the Syntropy Accumulation System incorporates advanced "Reentry" logic. This adaptive mechanism is designed to identify opportunistic re-entry points after initial long positions, specifically looking for specific price retracements and wick patterns that suggest renewed buying interest or a "retest" of critical levels. This allows for strategic scaling into positions, enhancing capital efficiency.
The strategy also includes a customizable profit-taking mechanism, allowing users to define their desired profit targets. The integrated performance dashboard provides real-time insights into trade statistics, including closed and open P&L, average entry prices, and invested capital, enabling comprehensive analysis of the system's performance.
Dudix 1-2-3 w trendzie (EMA238)Zagrania na trendzie i impulsie 1-2-3 w trendzie co najmniej m15 up w gdzinach 7-11 na EURUSD
MoneySupply-[Lafo] - Global M2 Money Supply inc Offset =It takes most of the central banks money supply, converts it to USD and adds it up.
Play wid it, adjust the offset in order to find correlation.
Not much else to say.
EQUITY ENGULF ICT FREEFREE ICT INDICATOR.
internal and external fvgs, ob, swing points, internal structure (bos, choch) and premium and discount zones. add to your chart and you're ready to go!
trade safely!
CandlestickPatternsLibrary "CandlestickPatterns"
This library provides a wide range of candlestick patterns, and available for user to call each pattern individually. It's a comprehensive and common tool designed for traders seeking to raise their technical analysis, and it may help users identify key turning of price action in financial instruments. Credit to public technical “*All Candlestick Patterns*” indicator.
abandonedBaby(order, d1)
The "Abandoned Baby" candlestick pattern is a bullish/bearish pattern consists of three candles.
Parameters:
order (simple string) : (simple string) Pattern order type "bull" or "bear".
d1 (simple float) : (simple float) Previous candle's body percentage out of candle range. Optional argument, default is 5.
darkCloudCover(c1, n)
The "Dark Cloud Cover" is a bearish pattern consists of two candles.
Parameters:
c1 (simple bool) : (simple bool) Previous candle's body must be higher than average. Optional argument, default is true.
n (simple int) : (simple int) Length of average candle's body. Optional argument, default is 14.
doji(d0)
The "Doji" is neither bullish or bearish consists of one candles.
Parameters:
d0 (simple float) : (simple float) Current candle's body percentage out of candle range. Optional argument, default is 5.
dojiStar(order, c1, n, d0)
The "Doji Star" is a bullish/bearish pattern consists of two candles.
Parameters:
order (simple string) : (simple string) Pattern order type "bull" or "bear" .
c1 (simple bool) : (simple bool) Previous candle's body must be higher than average. Optional argument, default is true.
n (simple int) : (simple int) Length of average candle's body. Optional argument, default is 14.
d0 (simple float) : (simple float) Current candle's body percentage out of candle range. Optional argument, default is 5.
downsideTasukiGap(c2, c1, n)
The "Downside Tasuki Gap" is a bearish pattern consists of three candles.
Parameters:
c2 (simple bool) : (simple bool) Before previous candle's body must be higher than average. Optional argument, default is true.
c1 (simple bool) : (simple bool) Previous candle's body must be lower than average. Optional argument, default is true.
n (simple int) : (simple int) Length of average candle's body. Optional argument, default is 14.
dragonflyDoji(d0)
The "Dragon Fly Doji" is a bullish pattern consists of one candle.
Parameters:
d0 (simple float) : (simple float) Current candle's body percentage out of candle range. Optional argument, default is 5.
engulfing(order, c1, c0, n)
The "Engulfing" is a bullish/bearish pattern consists of two candles.
Parameters:
order (simple string) : (simple string) Pattern order type "bull" or "bear".
c1 (simple bool) : (simple bool) Previous candle's body must be lower than average. Optional argument, default is true.
c0 (simple bool) : (simple bool) Current candle's body must be higher than average. Optional argument, default is true.
n (simple int) : (simple int) Length of average candle's body. Optional argument, default is 14.
eveningDojiStar(c2, c0, d1, n)
The "Evening Doji Star" is a bearish pattern consists of three candles.
Parameters:
c2 (simple bool) : (simple bool) Before previous candle's body must be higher than average, default is true.
c0 (simple bool) : (simple bool) Current candle's body must be higher than average. Optional argument, default is true.
d1 (simple float) : (simple float) Previous candle's body percentage out of candle range. Optional argument, default is 5.
n (simple int) : (simple int) Length of average candle's body. Optional argument, default is 14.
eveningStar(c2, c1, c0, n)
The "Evening Star" is a bearish pattern consists of three candles.
Parameters:
c2 (simple bool) : (simple bool) Before previous candle's body must be higher than average. Optional argument, default is true.
c1 (simple bool) : (simple bool) Previous candle's body must be lower than average. Optional argument, default is true.
c0 (simple bool) : (simple bool) Current candle's body must be higher than average. Optional argument, default is true.
n (simple int) : (simple int) Length of average candle's body. Optional argument, default is 14.
fallingThreeMethods(c4, c3, c2, c1, c0, n)
The "Falling Three Methods" is a bearish pattern consists of five candles.
Parameters:
c4 (simple bool) : (simple bool) 5th candle ago body must be higher than average. Optional argument, default is true.
c3 (simple bool) : (simple bool) 4th candle ago body must be lower than average. Optional argument, default is true.
c2 (simple bool) : (simple bool) 3rd candle ago body must be lower than average. Optional argument, default is true.
c1 (simple bool) : (simple bool) 2nd candle ago body must be lower than average. Optional argument, default is true.
c0 (simple bool) : (simple bool) Current candle's body must be higher than average. Optional argument, default is true.
n (simple int) : (simple int) Length of average candle's body. Optional argument, default is 14.
Returns: (bool)
fallingWindow()
The "Falling Window" is a bearish pattern consists of two candles.
gravestoneDoji(d0)
The "Gravestone Doji" is a bearish pattern consists of one candle.
Parameters:
d0 (simple float) : (simple float) Current candle's body percentage out of candle range. Optional argument, default is 5.
hammer(c0, n)
The "Hammer" is a bullish pattern consists of one candle.
Parameters:
c0 (simple bool) : (simple bool) Current candle's body must be lower than average. Optional argument, default is true.
n (simple int) : (simple int) Length of average candle's body. Optional argument, default is 14.
hangingMan(c0, n)
The "Hanging Man" is a bearish pattern consists of one candle.
Parameters:
c0 (simple bool) : (simple bool) Current candle's body must be lower than average. Optional argument, default is true.
n (simple int) : (simple int) Length of average candle's body. Optional argument, default is 14.
haramiCross(order, c1, n)
The "Harami Cross" candlestick pattern is a bullish/bearish pattern consists of two candles.
Parameters:
order (string) : (simple string) Pattern order type "bull" or "bear".
c1 (simple bool) : (simple bool) Previous candle's body must be higher than average. Optional argument, default is true.
n (simple int) : (simple int) Length of average candle's body. Optional argument, default is 14.
harami(order, c1, c0, n)
The "Harami" candlestick pattern is a bullish/bearish pattern consists of two candles.
Parameters:
order (string) : (simple string) Pattern order type "bull" or "bear"
c1 (simple bool) : (simple bool) Previous candle's body must be higher than average. Optional argument, default is true.
c0 (simple bool) : (simple bool) Current candle's body must be lower than average. Optional argument, default is true.
n (simple int) : (simple int) Length of average candle's body. Optional argument, default is 14.
invertedHammer(c0, n)
The "Inverted Hammer" is a bullish pattern consists of one candle.
Parameters:
c0 (simple bool) : (simple bool) Current candle's body must be lower than average. Optional argument, default is true.
n (simple int) : (simple int) Length of average candle's body. Optional argument, default is 14.
kicking(order, c1, c0, n)
The "Kicking" candlestick pattern is a bullish/bearish pattern consists of two candles.
Parameters:
order (string) : (simple string) Pattern order type "bull" or "bear"
c1 (simple bool) : (simple bool) Previous candle's body must be higher than average. Optional argument, default is true.
c0 (simple bool) : (simple bool) Current candle's body must be higher than average. Optional argument, default is true.
n (simple int) : (simple int) Length of average candle's body. Optional argument, default is 14.
longLowerShadow(l0)
The "Long Lower Shadow" candlestick pattern is a bullish pattern consists of one candles.
Parameters:
l0 (simple float) : (simple float) Current candle's lower wick min percentage out of candle range. Optional argument, default is 75.
longUpperShadow(u0)
The "Long Upper Shadow" candlestick pattern is a bearish pattern consists of one candles.
Parameters:
u0 (simple float) : (simple float) Current candle's upper wick min percentage out of candle range. Optional argument, default is 75.
marubozuBlack(c0, n)
The "Marubozu Black" candlestick pattern is a bearish pattern consists of one candles.
Parameters:
c0 (simple bool) : (simple bool) Current candle's body must be higher than average. Optional argument, default is true.
n (simple int) : (simple int) Length of average candle's body. Optional argument, default is 14.
marubozuWhite(c0, n)
The "Marubozu White" candlestick pattern is a bullish pattern consists of one candles.
Parameters:
c0 (simple bool) : (simple bool) Current candle's body must be higher than average. Optional argument, default is true.
n (simple int) : (simple int) Length of average candle's body. Optional argument, default is 14.
morningDojiStar(c2, d1, c0, n)
The "Morning Doji Star" candlestick pattern is a bullish pattern consists of three candles.
Parameters:
c2 (simple bool) : (simple bool) Before previous candle's body must be higher than average. Optional argument, default is true.
d1 (simple float) : (simple float) Previous candle's body percentage out of candle range. Optional argument, default is 5.
c0 (simple bool) : (simple bool) Current candle's body must be higher than average. Optional argument, default is true.
n (simple int) : (simple int) Length of average candle's body. Optional argument, default is 14.
morningStar(c2, c1, c0, n)
The "Morning Star" candlestick pattern is a bullish pattern consists of three candles.
Parameters:
c2 (simple bool) : (simple bool) Before previous candle's body must be higher than average. Optional argument, default is true.
c1 (simple bool) : (simple bool) Previous candle's body must be lower than average. Optional argument, default is true.
c0 (simple bool) : (simple bool) Cuurent candle's body must be higher than average. Optional argument, default is true.
n (simple int) : (simple int) Length of average candle's body. Optional argument, default is 14.
onNeck(c1, c0, n)
The "On Neck" candlestick pattern is a bearish pattern consists of two candles.
Parameters:
c1 (simple bool) : (simple bool) Previous candle's body must be higher than average. Optional argument, default is true.
c0 (simple bool) : (simple bool) Cuurent candle's body must be lower than average. Optional argument, default is true.
n (simple int) : (simple int) Length of average candle's body. Optional argument, default is 14.
piercing(c1, n)
The "Piercing" candlestick pattern is a bullish pattern consists of two candles.
Parameters:
c1 (simple bool) : (simple bool) Previous candle's body must be higher than average. Optional argument, default is true.
n (simple int) : (simple int) Length of average candle's body. Optional argument, default is 14.
risingThreeMethods(c4, c3, c2, c1, c0, n)
The "Rising Three Methods" candlestick pattern is a bullish pattern consists of five candles.
Parameters:
c4 (simple bool) : (simple bool) 5th candle ago body must be higher than average. Optional argument, default is true.
c3 (simple bool) : (simple bool) 4th candle ago body must be Lower than average. Optional argument, default is true.
c2 (simple bool) : (simple bool) 3rd candle ago body must be Lower than average. Optional argument, default is true.
c1 (simple bool) : (simple bool) 2nd candle ago body must be Lower than average. Optional argument, default is true.
c0 (simple bool) : (simple bool) Current candle's body must be higher than average. Optional argument, default is true.
n (simple int) : (simple int) Length of average candle's body. Optional argument, default is 14.
risingWindow()
The "Rising Window" candlestick pattern is a bullish pattern consists of two candle.
shootingStar(c0, n)
The "Shooting Star" candlestick pattern is a bearish pattern consists of one candle.
Parameters:
c0 (simple bool) : (simple bool) Current candle's body must be higher than average. Optional argument, default is true.
n (simple int) : (simple int) Length of average candle's body. Optional argument, default is 14.
spinningTopBlack(l0, u0)
The "Spinning Top Black" is neither bullish or bearish.
Parameters:
l0 (simple float) : (simple float) Current candle's lower wick min percentage out of candle range. Optional argument, default is 34.
u0 (simple float) : (simple float) Current candle's upper wick min percentage out of candle range. Optional argument, default is 34.
spinningTopWhite(l0, u0)
The "Spinning Top White" is neither bullish or bearish.
Parameters:
l0 (simple float) : (simple float) Current candle's lower wick min percentage out of candle range. Optional argument, default is 34.
u0 (simple float) : (simple float) Current candle's upper wick min percentage out of candle range. Optional argument, default is 34.
threeBlackCrows(c2, c1, c0, n)
The "Three Black Crows" candlestick pattern is a bearish pattern consists of three candles.
Parameters:
c2 (simple bool) : (simple bool) Before previous candle's body must be higher than average. Optional argument, default is true.
c1 (simple bool) : (simple bool) Previous candle's body must be higher than average. Optional argument, default is true.
c0 (simple bool) : (simple bool) Cuurent candle's body must be higher than average. Optional argument, default is true.
n (simple int) : (simple int) Length of average candle's body. Optional argument, default is 14.
threeWhiteSoldiers(c2, c1, c0, n)
The "Three White Soldiers" candlestick pattern is a bullish pattern consists of three candles.
Parameters:
c2 (simple bool) : (simple bool) Before previous candle's body must be higher than average. Optional argument, default is true.
c1 (simple bool) : (simple bool) Previous candle's body must be higher than average. Optional argument, default is true.
c0 (simple bool) : (simple bool) Cuurent candle's body must be higher than average. Optional argument, default is true.
n (simple int) : (simple int) Length of average candle's body. Optional argument, default is 14.
triStar(order, d2, d1, d0)
The "Tri Star" candlestick pattern is a bullish/bearish pattern consists of three candles.
Parameters:
order (simple string) : (simple string) Pattern order type "bull" or "bear".
d2 (simple float) : (simple float) Before previous candle's body percentage out of candle range. Optional argument, default is 5.
d1 (simple float) : (simple float) Previous candle's body percentage out of candle range. Optional argument, default is 5.
d0 (simple float) : (simple float) Current candle's body percentage out of candle range. Optional argument, default is 5.
tweezerBottom(c1, n)
The "Tweezer Bottom" candlestick pattern is a bullish pattern consists of two candles.
Parameters:
c1 (simple bool) : (simple bool) Previous candle's body must be higher than average. Optional argument, default is true.
n (simple int) : (simple int) Length of average candle's body. Optional argument, default is 14.
tweezerTop(c1, n)
The "Tweezer Top" candlestick pattern is a bearish pattern consists of two candles.
Parameters:
c1 (simple bool) : (simple bool) Previous candle's body must be higher than average. Optional argument, default is true.
n (simple int) : (simple int) Length of average candle's body. Optional argument, default is 14.
upsideTasukiGap(c2, c1, n)
The "Tri Star" candlestick pattern is a bullish pattern consists of three candles.
Parameters:
c2 (simple bool) : (simple bool) Before Previous candle's body must be higher than average. Optional argument, default is true.
c1 (simple bool) : (simple bool) Previous candle's body must be lower than average. Optional argument, default is true.
n (simple int) : (simple int) Length of average candle's body. Optional argument, default is 14.
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cyclestudy_taLibrary "cyclestudy_ta"
multiMa(typeMa, length, source, phase, power, sigma, offset, fc, sc, fixed, cmo)
Parameters:
typeMa (string)
length (simple int)
source (float)
phase (int)
power (int)
sigma (simple float)
offset (simple float)
fc (int)
sc (int)
fixed (bool)
cmo (bool)
rsi_Special(length, maLen, src, rsiMAType, outMAType, super, dyn, dynLen, phase, power, sigma, offset, fcs, scs, fixed, select)
Parameters:
length (simple int)
maLen (simple int)
src (float)
rsiMAType (string)
outMAType (string)
super (bool)
dyn (bool)
dynLen (int)
phase (int)
power (int)
sigma (simple float)
offset (simple float)
fcs (int)
scs (int)
fixed (bool)
select (bool)
Beyond Insights IndicatorThe Beyond Insights Indicator is a multi-timeframe overlay tool designed for TradingView that displays key Exponential Moving Averages (EMAs) and volatility insights to support various trading strategies. It intelligently adapts its display based on the current chart timeframe to reduce clutter and enhance relevance. Specifically, it shows EMA 6, 18, and 50 when viewing intraday timeframes.
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Rainbow Trend [Mc]1. Momentum-Based Foundation
This indicator measures the velocity and strength of price changes.
Rising momentum indicates that price movement (upward or downward) has strength behind it.
When momentum weakens or reverses, it often signals a potential trend reversal.
2. Long-Term Time Frame
Unlike traditional indicators like RSI or Stochastic, which use shorter lookback periods (e.g., 14 days), this indicator uses a much longer period, such as 50 to 200 days.
This extended range helps smooth out volatility and provides a clearer view of the primary trend.
3. Multicolored Gradient Lines
The indicator displays multi-layered colored curves, often with a rainbow-like gradient.
Red or pink areas indicate strong selling pressure or peak momentum in an uptrend.
Green or bright green dots often suggest recovery or bottoming momentum.
Orange or yellow colors indicate neutral or transition zones, awaiting trend confirmation.
4. Horizontal Levels (Overbought/Oversold Zones)
The chart includes reference levels such as +160, 0, -40, and -120 (as shown in the image).
These levels help identify when momentum is reaching overbought or oversold conditions.
Reversals often begin near the upper or lower extremes of these zones.
5. Reversal Signal Markers
Red dots at the top indicate extreme bullish momentum and potential topping zones.
Green dots at the bottom suggest oversold conditions and potential bullish reversals.