Trend TraderMost trend indicators donโt offer continuation signals or accurate bounce points, so I created this indicator that uses one of the most common trading levels (EMAs). This indicator uses the 50, 100, and 200 EMAs along with WaveTrend signals to trade trends. Buy Signals are filtered so that they only show up when the 100 EMA is above the 200. And Inverse for Sell Signals.
This indicator works well with both Stocks and Crypto. Default settings work best on 15 min, 1H, 2H, and 4H.
(Chart examples are using Heikin Ashi Candles, on Log Scale.)
*Buy and Sell Signals do not repaint.
Settings:
- Ability to show all buy and sell signals regardless of trend.
- To change the sensitivity of the buy and sell signals, change the โAverage Lengthโ
- (The lower the number the more sensitive, the higher the number the less they pop up)
- Ability to change EMA Lengths
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Cari skrip untuk "crypto"
CSS_LFU_v0.1Overview:
A multi-factor, market-adaptive swing strategy designed for intraday and short-term crypto trading. It synthesizes momentum, volatility, and trend signals into a unified composite score over a configurable lookback window. The strategy leverages a modular, signal-weighted approach to ensure robust entry timing while remaining compatible with human-in-the-loop validation and algorithmic execution.
Core Modules:
AJFFRSI (RSX-based Momentum): Measures smoothed price momentum with noise-reduction filters to detect crossovers relative to the QQE trailing stop.
QQE (Quantitative Qualitative Easing RSI): A modified RSI with a dynamic trailing stop that adapts to short-term volatility, identifying exhaustion and potential reversal points.
Keltner Channel Zones: Determines overextension relative to trend, providing buy/sell zones based on ATR-banded EMA.
WaveTrend Oscillator: Confirms short-term swings and market direction through smoothed oscillator cross signals.
Rolling Composite Score: Aggregates module signals over a unified lookback (e.g., 144 bars) to normalize noise and capture consistent trends.
Signal Logic:
Each module outputs a discrete score (+1 / 0 / -1).
The rolling composite score sums all module scores over the lookback period.
Long positions trigger when the rolling score meets or exceeds the long threshold.
Short positions trigger when the rolling score meets or falls below the short threshold.
Multi-dimensional signal aggregation reduces false positives from single indicators.
Rolling lookback ensures score normalization across different volatility regimes.
Highly modular: easy to adapt modules or weights to different instruments or timeframes.
Fully compatible with automated execution pipelines, including custom exchange screener bots.
Use Case:
Ideal for quant-driven altcoin or multi-asset strategies where high-frequency validation is critical and sequential module weighting enhances trend flip detection.
Support & Resistance Zone Hunter [BOSWaves]Support & Resistance Zone Hunter - Dynamic Structural Zones with Real-Time Breakout Intelligence
Overview
The Support & Resistance Zone Hunter is a professional-grade structural mapping framework designed to automatically detect high-probability support and resistance areas in real time. Unlike traditional static levels or manually drawn zones, this system leverages pivot detection, range thresholds, and optional volume validation to create dynamic zones that reflect the true structural architecture of the market.
Zones evolve as price interacts with their boundaries. The first touch of a zone determines its bias - bullish, bearish, or neutral - and the system tracks the full lifecycle of each zone from formation, testing, and bias establishment to potential breakout events. Diamond-shaped breakout signals highlight structurally significant price expansions while filtering noise using a configurable cooldown period.
By visualizing market structure in this way, traders gain a deeper understanding of price behavior, trend momentum, and areas where liquidity and reactive forces are concentrated.
Theoretical Foundation
The Support & Resistance Zone Hunter is built on the premise that meaningful structural zones arise from two core principles:
Pivot-Based Turning Points : Only significant highs and lows that represent actual swings in price are considered.
Contextual Validation : Zones must pass minimum range criteria and optional volume thresholds to ensure their relevance.
Markets naturally generate numerous micro-pivots that do not carry predictive significance. By filtering out minor swings and validating zones against volume and range, the system isolates levels that are more likely to attract future price interaction or act as catalysts for breakout moves.
This framework captures not only where price is likely to react but also the direction of potential pressure, providing a statistically grounded, visually intuitive representation of market structure.
How It Works
The Support & Resistance Zone Hunter constructs zones through a multi-layered process that blends pivot logic, range validation, and real-time bias determination:
1. Pivot Detection Core
The indicator identifies pivot highs and pivot lows using a configurable lookback period. Zones are only considered valid when both a top and bottom pivot are present.
2. Zone Qualification Engine
Prospective zones must satisfy two conditions:
Range Threshold : The distance between pivot high and low must exceed the minimum percentage set by the user.
Volume Requirement : If enabled, the current volume must exceed the 50-period moving average.
Only zones meeting these criteria are drawn, reducing noise and emphasizing high-probability structural levels.
3. Zone Lifecycle
Once a valid top and bottom pivot exist:
The zone is created starting from the pivot formation bar.
Zones remain active until both boundaries have been touched by price.
The first boundary touched establishes bias: resistance first โ bullish bias ,support first โ bearish bias, neither โ neutral.
Inactive zones stop expanding but remain visible historically to maintain a clear structural context.
4. Visual Rendering
Active zones are displayed as filled boxes with color corresponding to their bias. Top, bottom, and midpoint lines are drawn for reference. Once a zone becomes inactive, its lines are removed while the filled box remains as a historical footprint.
5. Breakout Detection
Breakout signals occur when price closes above the top boundary or below the bottom boundary of an active zone. The system applies a cooldown period and requires price to return to the zone since the previous breakout to prevent signal spam. Bullish and bearish breakouts are visually represented by diamond-shaped markers with configurable colors.
Interpretation
The Support & Resistance Zone Hunter provides a structural view of market balance:
Bullish Zones : Form when resistance is tested first, indicating upward pressure and potential continuation.
Bearish Zones : Form when support is tested first, reflecting downward pressure and continuation risk.
Neutral Zones : Fresh zones that have not yet been interacted with, representing undiscovered liquidity.
Breakout Diamonds : Highlight significant structural price expansions, helping traders identify confirmed continuation moves while filtering noise.
Zones do not simply indicate past levels; they dynamically reflect the evolving battle between buyers and sellers, providing actionable context for both trend continuation and reversion strategies.
Strategy Integration
The Support & Resistance Zone Hunter is versatile and can be applied across multiple trading approaches:
Trend Continuation : Use bullish and bearish zones to confirm directional bias. Breakout diamonds indicate structural continuation opportunities.
Reversion Entries : Neutral zones often act as magnets in ranging markets, allowing for high-probability mean-reversion setups.
Breakout Trading : Diamonds mark true structural expansions, reducing false breakout risk and guiding stop placement or momentum entries.
Liquidity Zone Alignment : Combining the indicator with order block, breaker, or volume-based tools helps validate zones against broader market participation.
Technical Implementation Details
Pivot Engine : Two-sided pivot detection based on configurable lookback.
Zone Qualification : Minimum range requirement and optional volume filter.
Bias Logic : Determined by the first boundary touched.
Zone Lifecycle : Active until both boundaries are touched, historical visibility retained.
Breakout Signals : Diamond markers with cooldown filtering and price-return validation.
Visuals : Transparent filled zones with live top, bottom, and midpoint lines.
Suggested Optimal Parameters
Pivot Lookback : 10 - 30 for intraday, 20 - 50 for swing trading.
Minimum Range % : 0.5 - 2% for crypto or indices, 1 - 3% for metals or forex.
Volume Filter : Enable for assets with inconsistent liquidity; disable for consistently liquid markets.
Breakout Cooldown : 5 - 20 bars depending on volatility.
These suggested parameters should be used as a baseline; their effectiveness depends on the asset and timeframe, so fine-tuning is expected for optimal performance.
Performance Characteristics
High Effectiveness:
Markets with clear pivot structure and reliable volume.
Trending symbols with consistent retests.
Assets where zones attract repeated price interaction.
Reduced Effectiveness:
Random walk markets lacking structural pivots.
Low-volatility periods with minimal price reaction.
Assets with irregular volume distribution or erratic price action.
Integration Guidelines
Use zone color as contextual bias rather than a standalone signal.
Combine with structural tools, order blocks, or volume-based indicators for confluence.
Validate zones on higher timeframes to refine lower timeframe entries.
Treat breakout diamonds as confirmation of continuation rather than independent triggers.
Disclaimer
The Support & Resistance Zone Hunter provides structural zone mapping and breakout analytics. It does not predict price movement or guarantee profitability. Success requires disciplined risk management, proper parameter calibration, and integration into a comprehensive trading strategy.
Safe Supertrend Strategy (No Repaint)Overview
The Safe Supertrend is a repaint-free version of the popular Supertrend trend-following indicator.
Most Supertrend indicators appear perfect on historical charts because they flip intrabar and then repaint after the candle closes.
This version fixes that by using close-of-bar confirmation only, making every trend flip 100% stable, safe, and non-repainting.
Why This Supertrend Doesnโt Repaint
Most Supertrend indicators calculate their trend direction using the current barโs data.
But during a live candle:
ATR expands and contracts
The upper/lower bands move
Price moves above/below the band temporarily
A false flip appears โ then disappears when the candle closes
That is classic repainting.
This indicator avoids all of that by using:
close > upper
close < lower
This means:
Trend direction flips only based on the previous candle,
No intrabar calculations,
No flickering signals,
No โperfect but fakeโ historical performance.
Every signal you see on the chart is exactly what was available in real-time.
How It Works
Calculates ATR (Average True Range) and SMA centerline
Builds upper and lower volatility bands
Confirms trend flips only after the previous bar closes
Plots clear bull and bear reversal signals
Works on all markets (crypto, stocks, forex, indices)
No repainting, no recalc, no misleading flips.
Bullish Signal (Trend Up)
A bullish trend begins only when:
The previous candle closes above the upper ATR band,
And this flip is fully confirmed.
A green triangle marks the start of a new uptrend.
Bearish Signal (Trend Down)
A bearish trend begins only when:
The previous candle closes below the lower ATR band,
And the downtrend is confirmed.
A red triangle signals the start of a new downtrend.
Inputs
ATR Length - default 10
ATR Multiplier - default 3.0
Works on all timeframes and market
Simple, but powerful.
Why Use This Version Instead of a Regular Supertrend?
Most Supertrends:
Look great historically
But repaint continuously on live charts
Give false trend flips intrabar
Cannot be reliably used in strategies
This version:
Uses strict previous-bar logic
Never repaints trend direction
Works perfectly in live trading
Backtests accurately
Is ideal for algorithmic strategies
Ideal For:
Trend-following strategies
Breakout trading
Algo trading systems
Reversal detection
Filtering market noise
Swing trading & scalping
Final Note
This is a safer, more reliable Supertrend designed for real-world use โ not perfect-looking repaint illusions.
If you use Supertrend in your trading system, this no-repaint version ensures your signals are trustworthy and consistent.
Altseason IndexDescription of the "Altseason Index" Indicator
The Altseason Index is a powerful and visually minimalist tool designed to objectively identify the onset and conclusion of an "altseason" in the cryptocurrency market. Moving beyond subjective speculation, this indicator employs a clear, mathematical methodology by comparing the performance of a broad basket of altcoins against Bitcoin.
๐ฏ Core Concept and Utility
An "Altseason" is a market period where altcoins (cryptocurrencies other than Bitcoin) consistently yield higher returns than BTC. This indicator empowers traders and investors to:
Objectively Identify Market Cycles: Precisely pinpoint when capital is actively rotating from Bitcoin into altcoins and vice versa.
Make Data-Driven Decisions: Adjust their strategy in a timely manner: increasing exposure to altcoins during an altseason or rotating back into BTC upon its conclusion.
Avoid Emotional Pitfalls: Steer clear of FOMO (Fear Of Missing Out) and base decisions on hard data rather than market noise.
โ๏ธ How the Calculation Works
1. Asset Selection: The indicator tracks the performance of 15 leading altcoins across various market segments (Layer 1s, DeFi, Meme, Payments), ensuring a representative sample.
2. Performance Comparison: For each altcoin, the percentage price change over the user-defined lookback period (default: 90 days) is calculated. This performance is then compared to BTC's performance over the same period.
3. Counting the "Outperformers": The index counts the number of altcoins that have "outperformed" BTC.
4. Calculating the Index: The Altseason Index value is the percentage of altcoins in the basket that are outperforming BTC. For example, a value of 60% means that 9 out of the 15 coins performed better than Bitcoin.
๐ ๏ธ Indicator Settings
The settings are kept simple and intuitive, allowing you to customize the indicator to your strategy:
Lookback Period (days) (Default: 90):
- Defines the time horizon for the performance calculation.
- Shorter Periods (30-60 days) react faster to new trends but may produce more false signals.
- Longer Periods (90-180 days) provide smoother and more reliable signals, capturing sustained macro-trends.
Altseason Threshold (%) (Default: 75%):
- This is the key parameter that defines what index value constitutes an official "altseason."
- A threshold of 75% means an altseason is declared when at least 11 out of the 15 altcoins (75%) are outperforming BTC.
- You can increase the threshold (e.g., to 85%) for more conservative and stronger signals, or decrease it (e.g., to 65%) for earlier entries.
๐ Interpreting the Readings and Signals
The indicator uses a clear color-coding system and levels for easy interpretation:
๐ด < 30%: "BTC SEASON"
Bitcoin is dominating. The market is in risk-off mode or a state of anticipation. Growth is concentrated in BTC.
โช 30% - 49%: "NEUTRAL"
A transitional phase. The market is uncertain. Some alts show strength, but there is no unified trend.
๐ต 50% - 74%: "BULLISH"
Growing strength in altcoins. Capital is beginning to rotate actively. This can be an early stage of an altseason.
๐ข โฅ 75% (or your custom threshold): "ALTSEASON"
The active altseason phase. The vast majority of altcoins are rising faster than BTC. This is the period of maximum potential returns for alts.
Signal Markers:
Green Dot: Signals the potential start of an altseason (the index crosses above the threshold).
Red Dot: Signals the potential end of an altseason (the index crosses below the threshold).
โน๏ธ Information Panel
The chart displays two clean information panels:
1. Main Info Label:
Current index value (e.g., โ 80%).
Market status (ALTSEASON, BULLISH, etc.).
The ratio of outperforming altcoins (11/15 alts).
2. Dominance & Market Cap Panel:
Alts: Altcoin Dominance (the market cap share of all coins except BTC).
BTC: Bitcoin Dominance.
Market: Total cryptocurrency market capitalization in billions of USD. This helps assess the overall market context (bullish/bearish).
๐ Conclusion
The Altseason Index is your strategic companion for navigating the crypto markets. It transforms the complex task of identifying market cycles into a simple and visual process. Use it to confirm broad market trends, identify potential entry and exit points, and, most importantly, to maintain discipline in your trading strategy by filtering out noise and emotion.
Disclaimer: This indicator is a tool for analysis and does not constitute investment advice. All trading decisions are taken at your own risk.
Safe Supertrend Strategy (No Repaint)Overview
The Safe Supertrend is a repaint-free version of the popular Supertrend trend-following indicator.
Most Supertrend indicators appear perfect on historical charts because they flip intrabar and then repaint after the candle closes.
This version fixes that by using close-of-bar confirmation only, making every trend flip 100% stable, safe, and non-repainting.
Why This Supertrend Doesnโt Repaint
Most Supertrend indicators calculate their trend direction using the current barโs data.
But during a live candle:
ATR expands and contracts
The upper/lower bands move
Price moves above/below the band temporarily
A false flip appears โ then disappears when the candle closes
That is classic repainting.
This indicator avoids all of that by using:
close > upper
close < lower
This means:
Trend direction flips only based on the previous candle,
No intrabar calculations,
No flickering signals,
No โperfect but fakeโ historical performance.
Every signal you see on the chart is exactly what was available in real-time.
How It Works
Calculates ATR (Average True Range) and SMA centerline
Builds upper and lower volatility bands
Confirms trend flips only after the previous bar closes
Plots clear bull and bear reversal signals
Works on all markets (crypto, stocks, forex, indices)
No repainting, no recalc, no misleading flips.
Bullish Signal (Trend Up)
A bullish trend begins only when:
The previous candle closes above the upper ATR band,
And this flip is fully confirmed.
A green triangle marks the start of a new uptrend.
Bearish Signal (Trend Down)
A bearish trend begins only when:
The previous candle closes below the lower ATR band,
And the downtrend is confirmed.
A red triangle signals the start of a new downtrend.
Inputs
ATR Length - default 10
ATR Multiplier - default 3.0
Works on all timeframes and market
Simple, but powerful.
Why Use This Version Instead of a Regular Supertrend?
Most Supertrends:
Look great historically
But repaint continuously on live charts
Give false trend flips intrabar
Cannot be reliably used in strategies
This version:
Uses strict previous-bar logic
Never repaints trend direction
Works perfectly in live trading
Backtests accurately
Is ideal for algorithmic strategies
Ideal For:
Trend-following strategies
Breakout trading
Algo trading systems
Reversal detection
Filtering market noise
Swing trading & scalping
Final Note
This is a safer, more reliable Supertrend designed for real-world use โ not perfect-looking repaint illusions.
If you use Supertrend in your trading system, this no-repaint version ensures your signals are trustworthy and consistent.
Reversal Candlestick Setups (Doji, Outside, Extreme, Wick)Reversal Candlestick Setups โ Doji, Outside, Extreme & Wick
This indicator identifies four high-probability reversal candlestick patterns across all timeframes: Doji Reversals, Outside Reversals, Extreme Reversals, and Wick Reversals. Each setup is based on clearly defined quantitative rules, allowing traders to filter noise and focus on strong reversal signals instead of relying on subjective visual interpretation.
The tool automatically scans every candle, highlights qualifying patterns on the chart, and provides alert options for both bullish and bearish versions of all four setups. This makes it suitable for intraday traders, swing traders, and positional traders seeking early reversal confirmation.
Included Setups
1. Doji Reversal Setup
Identifies candles with extremely small bodies relative to their range, combined with a smaller-than-average bar size. Useful for spotting market indecision before a directional shift.
2. Outside Reversal Setup
Flags candles that engulf the previous candleโs highโlow range and exceed the average range by a multiplier. This is designed to capture strong momentum reversals driven by aggressive buying or selling.
3. Extreme Reversal Setup
Highlights large-bodied candles that dominate their overall range and exceed twice the average bar size. These signals aim to catch climactic exhaustion and institutional-level reversals.
4. Wick Reversal Setup
Detects candles with long rejection wicks, small bodies, and closes near an extreme of the range, supported by above-average bar size. Ideal for identifying sharp intrabar rejections.
Key Features
โข Automatically detects all four reversal setups
โข Works on all timeframes and symbols
โข Customizable variables for deeper testing and optimization
โข Clear bullish and bearish labels directly on the chart
โข Fully integrated alert conditions for real-time notifications
โข Suitable for crypto, stocks, indices, forex, and commodities
Who This Indicator Is For
โข Traders who want objective, rule-based reversal detection
โข Price action traders looking to enhance accuracy
โข Systematic traders wanting quantifiable candlestick criteria
โข Beginners learning reversal structures with visual guidance
โข Professionals integrating reversal patterns into algorithmic or discretionary systems
How to Use
Add the indicator to your chart and enable alerts for the specific setups you want to track (e.g., โBullish Wick Reversalโ). Combine these signals with market structure, trend filters, volume analysis, or momentum indicators for increased conviction.
BTC Risk Metric DCA Adapter (3Commas Webhook Strategy)Risk Metric DCA Adapter (3Commas Webhook Strategy) - WORK IN PROGRESS
This Pine Script strategy, originally inspired by the Risk Metric Indicator, is fundamentally engineered as an Adapter to interface with external trading bots like 3Commas via Webhooks. It calculates a dynamic market risk score and translates that score into specific dollar-cost averaging (DCA) entry levels and tiered profit-taking exits.
Key Features & Logic
Risk Metric Calculation (Credit to The Trading Parrot):
The strategy incorporates a complex, multi-timeframe Risk Metric calculation based on daily and weekly moving averages (SMA) and standard deviation (StDev). This metric aims to quantify the current market overextension or compression relative to long-term historical data. The resulting score dictates the level of conviction for a new trade.
Tiered DCA Entry Sizing:
The strategy defines three distinct Buy Levels (L1, L2, L3) corresponding to increasingly favorable (lower) Risk Metric scores.
L1 (Base): Risk is moderate, initiating the minimum defined trade amount.
L2 (Scaled): Risk is low, initiating L1 amount + L2 amount.
L3 (Aggressive): Risk is very low, initiating L1 + L2 + L3 amounts.
Tiered Profit-Taking Exits:
The strategy implements a staggered, partial profit-taking approach based on the Risk Metric rising:
Sell L1 & L2: Closes a percentage of the current position when the Risk Metric reaches defined high thresholds, locking in partial profits.
Sell L3 (Full Exit): Closes the remaining position when the Risk Metric reaches the highest defined threshold.
The Adapter Function (Webhook Integration)
This script is unique because it uses the Pine Script strategy() function to trigger Order Fills, which are necessary to access powerful placeholders in the TradingView alert system.
Trigger Type: The alert must be set to trigger on Any order fill.
Dynamic Webhook Data: Instead of using fixed alert() commands, the strategy generates dynamic labels (e.g., BUY_ENTRY_L3_USD_1000 or SELL_L1_PCT_25) using the strategy.entry and strategy.close commands.
Data Transfer: The alert message then uses the placeholder {{strategy.order.comment}} to pass these dynamic labels to the 3Commas bot, allowing the bot to execute the precise action (e.g., start_deal_with_volume_in_quote_currency or close_deal_at_market_percentage).
Full Strategy Webhook payload
{
"secret": "YOUR_3COMMAS_SECRET_KEY",
"max_lag": "300",
"timestamp": "{{timenow}}",
"trigger_price": "{{close}}",
"tv_exchange": "{{exchange}}",
"tv_instrument": "{{ticker}}",
"action": "{{strategy.order.action}}",
"bot_uuid": "YOUR_BOT_UUID",
"strategy_info": {
"market_position": "{{strategy.market_position}}",
"market_position_size": "{{strategy.market_position_size}}",
"prev_market_position": "{{strategy.prev_market_position}}",
"prev_market_position_size": "{{strategy.prev_market_position_size}}"
},
"order": {
"amount": "{{strategy.order.contracts}}",
"currency_type": "base",
"comment": "{{strategy.order.comment}}"
}
}
Disclaimer: This script is an adapter tool and does not guarantee profit. Trading requires manual configuration of risk settings, bot parameters, and adherence to platform-specific setup instructions.
Systemic Net Liquidity (Macro Fuel for Crypto & Stocks)This indicator tracks Systemic Net Liquidity, the single most important macro factor for determining the long-term trend of risk assets like Bitcoin (BTC) and major indices (S&P 500). It measures the amount of actual cash available in the financial system to chase speculative assets, distinguishing between money that is circulating and money that is locked up at the Federal Reserve.
โMechanism (What It Measures)
โThe script uses direct data from the FRED (Federal Reserve Economic Data) to calculate the true state of market funding:
\text{Net Liquidity} = \text{Fed Assets (WALCL)} - \text{Treasury General Account (TGA)} - \text{Reverse Repo (RRP)}
1. Fed Assets (WALCL): The total balance sheet of the Fed (The overall supply of money).
โ2. Treasury General Account (TGA): Funds the US Treasury collects via bond issuance. When the TGA rises, liquidity is actively drained from the banking system (A major bearish pressure).
โ3. Overnight Reverse Repo (RRP): Cash parked by banks and money market funds at the Fed, effectively frozen and not contributing to market activity.
โHow to Interpret Signals
โTreat the Net Liquidity line as the market's "Fuel Gauge":
โ๐ BULLISH SIGNAL (Liquidity Injection): When the Net Liquidity line is rising, money is flowing back into the system, signalling a tailwind for risk assets.
โ๐ BEARISH SIGNAL (Liquidity Drain): When the line is falling (often due to high TGA balances), cash is being removed. This signals major friction and pressure on price action.
โโ ๏ธ DIVERGENCE WARNING: A strong signal is generated when Price (e.g., BTC) rises, but Net Liquidity falls. This macro divergence strongly suggests a major trend reversal or correction is imminent.
โImportant Notes
โData Source: Data is directly sourced from FRED and updates daily/weekly. This tool is best used for macro analysis and identifying high-level cycles, not short-term scalping.
โDisclaimer: Use this indicator as a confirmation tool within your broader strategy. It is not a standalone trading signal.
Systemic Net Liquidity (Macro Fuel for Crypto & Stocks)This indicator tracks Systemic Net Liquidity, the single most important macro factor for determining the long-term trend of risk assets like Bitcoin (BTC) and major indices (S&P 500). It measures the amount of actual cash available in the financial system to chase speculative assets, distinguishing between money that is circulating and money that is locked up at the Federal Reserve.
โMechanism (What It Measures)
โThe script uses direct data from the FRED (Federal Reserve Economic Data) to calculate the true state of market funding:
\text{Net Liquidity} = \text{Fed Assets (WALCL)} - \text{Treasury General Account (TGA)} - \text{Reverse Repo (RRP)}
1. Fed Assets (WALCL): The total balance sheet of the Fed (The overall supply of money).
โ2. Treasury General Account (TGA): Funds the US Treasury collects via bond issuance. When the TGA rises, liquidity is actively drained from the banking system (A major bearish pressure).
โ3. Overnight Reverse Repo (RRP): Cash parked by banks and money market funds at the Fed, effectively frozen and not contributing to market activity.
โHow to Interpret Signals
โTreat the Net Liquidity line as the market's "Fuel Gauge":
โ๐ BULLISH SIGNAL (Liquidity Injection): When the Net Liquidity line is rising, money is flowing back into the system, signalling a tailwind for risk assets.
โ๐ BEARISH SIGNAL (Liquidity Drain): When the line is falling (often due to high TGA balances), cash is being removed. This signals major friction and pressure on price action.
โโ ๏ธ DIVERGENCE WARNING: A strong signal is generated when Price (e.g., BTC) rises, but Net Liquidity falls. This macro divergence strongly suggests a major trend reversal or correction is imminent.
โImportant Notes
โData Source: Data is directly sourced from FRED and updates daily/weekly. This tool is best used for macro analysis and identifying high-level cycles, not short-term scalping.
โDisclaimer: Use this indicator as a confirmation tool within your broader strategy. It is not a standalone trading signal.
Dresteghamat:Adaptive Multi-TF Decision Engine**Dresteghamat: Adaptive Multi-Timeframe Decision Engine**
This open-source indicator is an algorithmic decision-support system designed to filter market noise by quantifying three core market dimensions: **Regime**, **Direction**, and **Exhaustion**.
**โ ๏ธ Technical Note on Originality:**
This script solves the "Timeframe Irrelevance" problem found in standard dashboards. Instead of using static HTF references, it implements a custom **"Adaptive Context Engine"** (see lines 245-270 in source code). It calculates the user's current `timeframe.multiplier` and dynamically maps the mathematically relevant Higher Timeframes.
* *Innovation:* A 5m chart automatically weights 15m/1H structure, whereas a 1H chart weights 4H/Daily structure. This dynamic logic is proprietary and ensures contextual accuracy.
---
### ๐ ๏ธ Logic & Calculation Methodology
The script does not simply overlay indicators. It processes raw market data through a **Weighted Scoring Engine** (lines 275-285) to output a unified market state.
**1. Regime Identification (Volatility Normalized)**
We calculate a custom "Volatility Ratio" to distinguish Trend vs. Range regimes.
* **Logic:** `Range / Smoothed_ATR`.
* **Function:** If Ratio > 2.0, the market is in Expansion (Trend). If < 1.2, it is in Compression (Range). This normalizes volatility across assets (Crypto/Forex/Stocks).
**2. Directional Bias (Composite Metric)**
Direction is calculated via a voting system of three sub-components (lines 80-130):
* **Structural Pivots:** Detects Swing Highs/Lows using a 25-bar lookback to define market structure.
* **Cumulative Body Delta:** Tracks the net buying/selling pressure within candle bodies.
* **Micro-Flow:** A short-term (5-bar) momentum filter to detect immediate order flow shifts.
**3. Exhaustion Model (Risk Management)**
The script prevents late entries by calculating an "Exhaustion Score" (lines 150-200). It aggregates:
* **VRSD (Volatility Regime Shift):** Detects when volatility expands > 2 standard deviations (Mean Reversion risk).
* **Volume Decay (VEFF):** Identifies Divergence where price makes new highs on declining Volume MA.
* **RSI/Impulse Divergence:** Standard momentum divergence logic.
**4. The Decision Output (MODE)**
The dashboard renders a final signal based on a hierarchical algorithm:
* **BUY/SELL ONLY:** Triggered when Current Momentum aligns with the Dynamically Selected HTF Structure AND the Exhaustion Score is low.
* **PULLBACK:** Triggered when HTF Structure is bullish, but Current Momentum is bearish (indicating a corrective phase).
* **HTF EXHAUST:** Overrides signals when the Higher Timeframe metrics hit extreme levels.
* **WAIT:** Default state during Range Regimes or conflicting signals.
---
### ๐ Usage Guide
1. Apply to chart (Auto-adapts to any timeframe).
2. **Status Column:** Shows the raw health of the trend (Strong/Weakening/Exhausted).
3. **MODE Column:** Displays the final actionable bias based on the scoring algorithm.
**Disclaimer:** This tool provides statistical analysis based on historical data. It does not guarantee future results.
Rotation SentinelROTATION SENTINEL v1.1 โ OVERVIEW
Rotation Sentinel is a macro rotation engine that tracks 10 institutional-grade dominance, liquidity, and trend signals to identify when capital is flowing into altcoins.
Each row outputs Green / Yellow / Red, and the system produces a 0โ10 Rotation Score plus a final regime:
๐ด NO ROTATION (0โ4)
๐ก ROTATION STARTING (5โ6)
๐ข ALTSEASON (7โ10)
Use on Daily timeframe for best accuracy.
KEY SIGNALS
1๏ธโฃ BTC.D ex-stables
Shows true BTC vs alt strength.
๐ข Falling = capital rotating into alts.
๐ด Rising = alts bleeding. (Master switch.)
2๏ธโฃ OTHERS.D
Broad altcoin dominance.
๐ข Rising = early alt strength.
๐ด Falling = weak participation.
3๏ธโฃ ETH/BTC
Rotation ignition.
๐ข ETH outperforming = rotation can start.
๐ด ETH lagging = altseason impossible.
4๏ธโฃ STABLE.C.D
Crypto โfear index.โ
๐ข Falling = risk-on environment.
๐ด Rising = capital hiding in stables.
5๏ธโฃ USDT.D
Real-time risk positioning.
๐ข Falling = capital deploying.
๐ด Rising = defensive.
6๏ธโฃ TOTAL3 (HTF Trend)
Structural alt market health.
๐ข Above SMA + rising = bullish structure.
๐ด Below SMA + falling = systematic weakness.
7๏ธโฃ TOTAL3 / TOTAL2
Depth of rotation.
๐ข Mid/small caps outperforming = deep rotation.
๐ด Only large caps moving = shallow cycle.
8๏ธโฃ Risk Ratio (OTHERS.D / STABLE.C.D)
Pure risk appetite.
๐ข Alts gaining on stables = risk-on.
9๏ธโฃ OTHERS/BTC
Alt value vs BTC.
๐ข Rising = alts outperforming BTC.
๐ Liquidation Heatmap (Manual)
Update from Hyblock/Coinalyze.
๐ข Liquidity above = upside easier.
ALTSEASON TRIGGER
Fires only when all 6 core conditions turn GREEN:
BTC.D ex-stables
OTHERS.D
ETH/BTC
STABLE.C.D
TOTAL3 structure
Rotation Score โฅ threshold (default 7)
BEST PRACTICES
Use Daily timeframe (macro rotation, not intraday noise)
Score < 5 โ defensive / selective trades
Score 5โ6 โ early rotation window
Score โฅ 7 โ confirmed altseason regime
Let alerts notify you; no need to manually monitor
INCLUDED ALERTS
๐จ ALTSEASON TRIGGERED
โ ๏ธ Rotation Score Crossed Threshold
๐ ETH/BTC Rotation Clock Activated
๐ฅ OTHERS.D Breaking Higher
Smart Cloud by Ilker (Custom Matriks)A Proprietary Hybrid Trend System for All Major Financial Assets
This indicator, originally developed for the Matriks platform, is a highly effective hybrid trend identification system designed for day-to-day analysis across all major asset classes, including Stocks, Forex, Indices, and Cryptocurrencies. It combines the forward-looking principle of the Ichimoku Kinko Hyo Cloud with heavily smoothed Moving Averages (MAs) to create a clear, visually guided trading signal. (Daily Timeframe recommended for optimal results).
๐ Algorithmic Structure and Parameters
The "Smart Cloud" utilizes six primary user-adjustable parameters that govern its sensitivity and shape, moving away from standard Ichimoku settings to provide a robust, customized trend view:
P1, P2, P3 (60, 56, 248): These long-term settings define the core structure and width of the cloud, acting as the primary dynamic support and resistance zone. The significantly longer P3 (Lagging Period) ensures the cloud reflects strong, deep market cycles.
P4 (Displacement 26): Maintains the traditional Ichimoku principle of projecting the cloud 26 periods forward to provide a predictive view of future trend support/resistance.
P5 (MA50 - Blue) & P6 (MA10 - Purple): These are the two primary Moving Averages plotted inside the cloud. They serve as fast-response momentum lines:
P5 (MA50): Represents the middle-term trend average.
P6 (MA10): Represents the short-term market momentum.
๐ Core Trend and Signal Interpretation
The indicator provides powerful trend identification based on three key components:
The Cloud (Kumo):
Green Cloud (Bullish): Indicates the dominant trend is up, suggesting dynamic support for price action.
Red Cloud (Bearish): Indicates the dominant trend is down, suggesting dynamic resistance.
The thickness and slope of the cloud are key indicators of trend strength.
MA Crossover Signal (Blue/Purple):
Buy Signal: When the faster Purple MA (P6=10) crosses above the slower Blue MA (P5=50).
Sell Signal: When the faster Purple MA (P6=10) crosses below the slower Blue MA (P5=50).
Price Action & Confirmation:
The most powerful signals occur when a MA Crossover is confirmed by price breaking out of the cloud in the same direction.
Price above the cloud and MA crossover to the upside suggests a strong buy entry.
Disclaimer: This tool is intended for analysis and decision-making support. It is not financial advice. Always use stop-loss orders and manage your risk accordingly.
KC-BB Squeeze Trend Traderโ OVERVIEW
The KC-BB Squeeze Trend Trader identifies volatility compression and expansion by detecting when Bollinger Bands contract inside Keltner Channels and then release with confirmed momentum. It highlights potential trend-starting breakouts by combining squeeze detection, directional momentum, trend bias, and optional volume filters.
During periods of low volatility, price consolidates and energy builds. When volatility expands again, strong directional moves often follow. This tool helps traders spot those opportunities early with clear visual cues and optional performance tracking.
โ KEY FEATURES
Squeeze detection using Bollinger Bands inside Keltner Channels
Automatic identification of volatility expansion after the squeeze ends
Optional filters for momentum, trend direction, volume, and signal cooldown
Dynamic color fills for squeeze, bullish expansion, bearish expansion, and neutral states
Dashboard showing squeeze duration, tightness, momentum, trend, and volume context
Optional win-rate analytics using ATR-based target and stop evaluation
Multi-timeframe confirmation for higher-quality breakouts
โ HOW IT WORKS
A squeeze occurs when both Bollinger Bands sit inside the Keltner Channels.
A breakout begins when the Bollinger Bands expand outside the KCs.
Long signals appear when squeeze release aligns with bullish momentum and trend strength.
Short signals appear when bearish momentum and trend conditions agree.
Volume and cooldown filters help reduce noise and avoid low-quality entries.
โ HOW TO USE
Wait for a squeeze period (yellow fill).
Monitor duration and tightness: longer/tighter squeezes often lead to stronger moves.
When a long or short signal appears, use the plotted ATR-based target and stop as reference levels.
Watch for contraction or exit hints when momentum fades or volatility narrows again.
Higher timeframes generally provide cleaner and more reliable signals.
โ TIMEFRAME GUIDANCE
Crypto: 4H or 1D; consider increasing KC multiplier for high volatility.
Forex: 1Hโ4H; longer squeeze duration can improve selectivity.
Stocks: 1Dโ1W; consider slightly higher BB multiplier on slow-moving markets.
โ SETTINGS SUMMARY
Adjustable Bollinger Band and Keltner Channel lengths and multipliers
Three momentum modes: Linear Regression, PriceโSMA, or ROC
Trend and volume filters (optional)
Configurable minimum squeeze duration and signal cooldown
ATR-based target and stop multipliers
Optional historically tight squeeze filter (percentile-based)
โ ALERTS
Squeeze Detected
Squeeze Released
Long Entry
Short Entry
Exit Hint
Historically Tight Squeeze
โ NOTES
ATR-based win-rate calculations provide simplified performance estimates.
Past behavior does not guarantee future movement.
Use position sizing and risk management appropriate for the instrument and timeframe.
โ CREDITS
Inspired by the Bollinger Band and Keltner Channel squeeze concept popularized by John Carterโs TTM Squeeze, with added enhancements for squeeze strength, filtering, and real-time performance metrics.
Market Electromagnetic Field [The_lurker]Market Electromagnetic Field
An innovative analytical indicator that presents a completely new model for understanding market dynamics, inspired by the laws of electromagnetic physics โ but it's not a rhetorical metaphor, rather a complete mathematical system.
Unlike traditional indicators that focus on price or momentum, this indicator portrays the market as a closed physical system, where:
โก Candles = Electric charges (positive at bullish close, negative at bearish)
โก Buyers and Sellers = Two opposing poles where pressure accumulates
โก Market tension = Voltage difference between the poles
โก Price breakout = Electrical discharge after sufficient energy accumulation
โ Core Concept
Markets don't move randomly, but follow a clear physical cycle:
Accumulation โ Tension โ Discharge โ Stabilization โ New Accumulation
When charges accumulate (through strong candles with high volume) and exceed a certain "electrical capacitance" threshold, the indicator issues a "โก DISCHARGE IMMINENT" alert โ meaning a price explosion is imminent, giving the trader an opportunity to enter before the move begins.
โ Competitive Advantage
- Predictive forecasting (not confirmatory after the event)
- Smart multi-layer filtering reduces false signals
- Animated 3D visual representation makes reading price conditions instant and intuitive โ without need for number analysis
โ Theoretical Physical Foundation
The indicator doesn't use physical terms for decoration, but applies mathematical laws with precise market adjustments:
โก Coulomb's Law
Physics: F = k ร (qโ ร qโ) / rยฒ
Market: Field Intensity = 4 ร norm_positive ร norm_negative
Peaks at equilibrium (0.5 ร 0.5 ร 4 = 1.0), and decreases at dominance โ because conflict increases at parity.
โก Ohm's Law
Physics: V = I ร R
Market: Voltage = norm_positive โ norm_negative
Measures balance of power:
- +1 = Absolute buying dominance
- โ1 = Absolute selling dominance
- 0 = Balance
โก Capacitance
Physics: C = Q / V
Market: Capacitance = |Voltage| ร Field Intensity
Represents stored energy ready for discharge โ increases with bias combined with high interaction.
โก Electrical Discharge
Physics: Occurs when exceeding insulation threshold
Market: Discharge Probability = min(Capacitance / Discharge Threshold, 1.0)
When โฅ 0.9: "โก DISCHARGE IMMINENT"
๐ Key Note:
Maximum capacitance doesn't occur at absolute dominance (where field intensity = 0), nor at perfect balance (where voltage = 0), but at moderate bias (ยฑ30โ50%) with high interaction (field intensity > 25%) โ i.e., in moments of "pressure before breakout".
โ Detailed Calculation Mechanism
โก Phase 1: Candle Polarity
polarity = (close โ open) / (high โ low)
- +1.0: Complete bullish candle (Bullish Marubozu)
- โ1.0: Complete bearish candle (Bearish Marubozu)
- 0.0: Doji (no decision)
- Intermediate values: Represent the ratio of candle body to its range โ reducing the effect of long-shadow candles
โก Phase 2: Volume Weight
vol_weight = volume / SMA(volume, lookback)
A candle with 150% of average volume = 1.5x stronger charge
โก Phase 3: Adaptive Factor
adaptive_factor = ATR(lookback) / SMA(ATR, lookback ร 2)
- In volatile markets: Increases sensitivity
- In quiet markets: Reduces noise
- Always recommended to keep it enabled
โก Phase 4โ6: Charge Accumulation and Normalization
Charges are summed over lookback candles, then ratios are normalized:
norm_positive = positive_charge / total_charge
norm_negative = negative_charge / total_charge
So that: norm_positive + norm_negative = 1 โ for easier comparison
โก Phase 7: Field Calculations
voltage = norm_positive โ norm_negative
field_intensity = 4 ร norm_positive ร norm_negative ร field_sensitivity
capacitance = |voltage| ร field_intensity
discharge_prob = min(capacitance / discharge_threshold, 1.0)
โ Settings
โก Electromagnetic Model
Lookback Period
- Default: 20
- Range: 5โ100
- Recommendations:
- Scalping: 10โ15
- Day Trading: 20
- Swing: 30โ50
- Investing: 50โ100
Discharge Threshold
- Default: 0.7
- Range: 0.3โ0.95
- Recommendations:
- Speed + Noise: 0.5โ0.6
- Balance: 0.7
- High Accuracy: 0.8โ0.95
Field Sensitivity
- Default: 1.0
- Range: 0.5โ2.0
- Recommendations:
- Amplify Conflict: 1.2โ1.5
- Natural: 1.0
- Calm: 0.5โ0.8
Adaptive Mode
- Default: Enabled
- Always keep it enabled
๐ฌ Dynamic Filters
All enabled filters must pass for discharge signal to appear.
Volume Filter
- Condition: volume > SMA(volume) ร vol_multiplier
- Function: Excludes "weak" candles not supported by volume
- Recommendation: Enabled (especially for stocks and forex)
Volatility Filter
- Condition: STDEV > SMA(STDEV) ร 0.5
- Function: Ignores sideways stagnation periods
- Recommendation: Always enabled
Trend Filter
- Condition: Voltage alignment with fast/slow EMA
- Function: Reduces counter-trend signals
- Recommendation: Enabled for swing/investing only
Volume Threshold
- Default: 1.2
- Recommendations:
- 1.0โ1.2: High sensitivity
- 1.5โ2.0: Exclusive to high volume
๐จ Visual Settings
Settings improve visual reading experience โ don't affect calculations.
Scale Factor
- Default: 600
- Higher = Larger scene (200โ1200)
Horizontal Shift
- Default: 180
- Horizontal shift to the left โ to focus on last candle
Pole Size
- Default: 60
- Base sphere size (30โ120)
Field Lines
- Default: 8
- Number of field lines (4โ16) โ 8 is ideal balance
Colors
- Green/Red/Blue/Orange
- Fully customizable
โ Visual Representation: A Visual Language for Diagnosing Price Conditions
โจ Design Philosophy
The representation isn't "decoration", but a complete cognitive model โ each element carries information, and element interaction tells a complete story.
The brain perceives changes in size, color, and movement 60,000 times faster than reading numbers โ so you can "sense" the change before your eye finishes scanning.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ข Positive Pole (Green Sphere โ Left)
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
What does it represent?
Active buying pressure accumulation โ not just an uptrend, but real demand force supported by volume and volatility.
โ Dynamic Size
Size = pole_size ร (0.7 + norm_positive ร 0.6)
- 70% of base size = No significant charge
- 130% of base size = Complete dominance
- The larger the sphere: Greater buyer dominance, higher probability of bullish continuation
Size Interpretation:
- Large sphere (>55%): Strong buying pressure โ Buyers dominate
- Medium sphere (45โ55%): Relative balance with buying bias
- Small sphere (<45%): Weak buying pressure โ Sellers dominate
โ Lighting and Transparency
- 20% transparency (when Bias = +1): Pole currently active โ Bullish direction
- 50% transparency (when Bias โ +1): Pole inactive โ Not the prevailing direction
Lighting = Current activity, while Size = Historical accumulation
โ Pulsing Inner Glow
A smaller sphere pulses automatically when Bias = +1:
inner_pulse = 0.4 + 0.1 ร sin(anim_time ร 3)
Symbolizes continuity of buy order flow โ not static dominance.
โ Orbital Rings
Two rings rotating at different speeds and directions:
- Inner: 1.3ร sphere size โ Direct influence range
- Outer: 1.6ร sphere size โ Extended influence range
Represent "influence zone" of buyers:
- Continuous rotation = Stability and momentum
- Slowdown = Momentum exhaustion
โ Percentage
Displayed below sphere: norm_positive ร 100
- >55% = Clear dominance
- 45โ55% = Balance
- <45% = Weakness
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ด Negative Pole (Red Sphere โ Right)
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
What does it represent?
Active selling pressure accumulation โ whether cumulative selling (smart distribution) or panic selling (position liquidation).
โ Visual Dynamics
Same size, lighting, and inner glow mechanism โ but in red.
Key Difference:
- Rotation is reversed (counter-clockwise)
- Visually distinguishes "buy flow" from "sell flow"
- Allows reading direction at a glance โ even for colorblind users
๐ Pole Reading Summary:
๐ข Large + Bright green sphere = Active buying force
๐ด Large + Bright red sphere = Active selling force
๐ข๐ด Both large but dim = Energy accumulation (before discharge)
โช Both small = Stagnation / Low liquidity
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ต Field Lines (Curved Blue Lines)
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
What do they represent?
Energy flow paths between poles โ the arena where price battle is fought.
โ Number of Lines
4โ16 lines (Default: 8)
More lines: Greater sense of "interaction density"
โ Arc Height
arc_h = (i โ half_lines) ร 15 ร field_intensity ร 2
- High field intensity = Highly elevated lines (like waves)
- Low intensity = Nearly straight lines
โ Oscillating Transparency
transp = 30 + phase ร 40
where phase = sin(anim_time ร 2 + i ร 0.5) ร 0.5 + 0.5
Creates illusion of "flowing current" โ not static lines
โ Asymmetric Curvature
- Upper lines curve upward
- Lower lines curve downward
- Adds 3D depth and shows "pressure" direction
โก Pro Tip:
When you see lines suddenly "contract" (straighten), while both spheres are large โ this is an early indicator of impending discharge, because the interaction is losing its flexibility.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โช Moving Particles
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
What do they represent?
Real liquidity flow in the market โ who's driving price right now.
โ Number and Movement
- 6 particles covering most field lines
- Move sinusoidally along the arc:
t = (sin(phase_val) + 1) / 2
- High speed = High trading activity
- Clustering at a pole = That side's control
โ Color Gradient
From green (at positive pole) to red (at negative)
Shows "energy transformation":
- Green particle = Pure buying energy
- Orange particle = Conflict zone
- Red particle = Pure selling energy
๐ How to Read Them?
- Moving left to right (๐ข โ ๐ด): Buy flow โ Bullish push
- Moving right to left (๐ด โ ๐ข): Sell flow โ Bearish push
- Clustered in middle: Balanced conflict โ Wait for breakout
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ Discharge Zone (Orange Glow โ Center)
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
What does it represent?
Point of stored energy accumulation not yet discharged โ heart of the early warning system.
โ Glow Stages
Initial Warning (discharge_prob > 0.3):
- Dim orange circle (70% transparency)
- Meaning: Watch, don't enter yet
High Tension (discharge_prob โฅ 0.7):
- Stronger glow + "โ ๏ธ HIGH TENSION" text
- Meaning: Prepare โ Set pending orders
Imminent Discharge (discharge_prob โฅ 0.9):
- Bright glow + "โก DISCHARGE IMMINENT" text
- Meaning: Enter with direction (after candle confirmation)
โ Layered Glow Effect (Glow Layering)
3 concentric circles with increasing transparency:
- Inner: 20%
- Middle: 35%
- Outer: 50%
Result: Realistic aura resembling actual electrical discharge.
๐ Why in the Center?
Because discharge always starts from the relative balance zone โ where opposing pressures meet.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ Voltage Meter (Bottom of Scene)
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
What does it represent?
Simplified numeric indicator of voltage difference โ for those who prefer numerical reading.
โ Components
- Gray bar: Full range (โ100% to +100%)
- Green fill: Positive voltage (extends right)
- Red fill: Negative voltage (extends left)
- Lightning symbol (โก): Above center โ reminder it's an "electrical gauge"
- Text value: Like "+23.4%" โ in direction color
โ Voltage Reading Interpretation
+50% to +100%:
Overwhelming buying dominance โ Beware of saturation, may precede correction
+20% to +50%:
Strong buying dominance โ Suitable for buying with trend
+5% to +20%:
Slight bullish bias โ Wait for additional confirmation
โ5% to +5%:
Balance/Neutral โ Avoid entry or wait for breakout
โ5% to โ20%:
Slight bearish bias โ Wait for confirmation
โ20% to โ50%:
Strong selling dominance โ Suitable for selling with trend
โ50% to โ100%:
Overwhelming selling dominance โ Beware of saturation, may precede bounce
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ Field Strength Indicator (Top of Scene)
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
What it displays: "Field: XX.X%"
Meaning: Strength of conflict between buyers and sellers.
โ Reading Interpretation
0โ5%:
- Appearance: Nearly straight lines, transparent
- Meaning: Complete control by one side
- Strategy: Trend Following
5โ15%:
- Appearance: Slight curvature
- Meaning: Clear direction with light resistance
- Strategy: Enter with trend
15โ25%:
- Appearance: Medium curvature, clear lines
- Meaning: Balanced conflict
- Strategy: Range trading or waiting
25โ35%:
- Appearance: High curvature, clear density
- Meaning: Strong conflict, high uncertainty
- Strategy: Volatility trading or prepare for discharge
35%+:
- Appearance: Very high lines, strong glow
- Meaning: Peak tension
- Strategy: Best discharge opportunities
๐ Golden Relationship:
Highest discharge probability when:
Field Strength (25โ35%) + Voltage (ยฑ30โ50%) + High Volume
โ This is the "red zone" to monitor carefully.
โ Comprehensive Visual Reading
To read market condition at a glance, follow this sequence:
Step 1: Which sphere is larger?
- ๐ข Green larger โ Dominant buying pressure
- ๐ด Red larger โ Dominant selling pressure
- Equal โ Balance/Conflict
Step 2: Which sphere is bright?
- ๐ข Green bright โ Current bullish direction
- ๐ด Red bright โ Current bearish direction
- Both dim โ Neutral/No clear direction
Step 3: Is there orange glow?
- None โ Discharge probability <30%
- ๐ Dim glow โ Discharge probability 30โ70%
- ๐ Strong glow with text โ Discharge probability >70%
Step 4: What's the voltage meter reading?
- Strong positive โ Confirms buying dominance
- Strong negative โ Confirms selling dominance
- Near zero โ No clear direction
โ Practical Visual Reading Examples
Example 1: Ideal Buy Opportunity โก๐ข
- Green sphere: Large and bright with inner pulse
- Red sphere: Small and dim
- Orange glow: Strong with "DISCHARGE IMMINENT" text
- Voltage meter: +45%
- Field strength: 28%
Interpretation: Strong accumulated buying pressure, bullish explosion imminent
Example 2: Ideal Sell Opportunity โก๐ด
- Green sphere: Small and dim
- Red sphere: Large and bright with inner pulse
- Orange glow: Strong with "DISCHARGE IMMINENT" text
- Voltage meter: โ52%
- Field strength: 31%
Interpretation: Strong accumulated selling pressure, bearish explosion imminent
Example 3: Balance/Wait โ๏ธ
- Both spheres: Approximately equal in size
- Lighting: Both dim
- Orange glow: Strong
- Voltage meter: +3%
- Field strength: 24%
Interpretation: Strong conflict without clear winner, wait for breakout
Example 4: Clear Uptrend (No Discharge) ๐
- Green sphere: Large and bright
- Red sphere: Very small and dim
- Orange glow: None
- Voltage meter: +68%
- Field strength: 8%
Interpretation: Clear buying control, limited conflict, suitable for following bullish trend
Example 5: Potential Buying Saturation โ ๏ธ
- Green sphere: Very large and bright
- Red sphere: Very small
- Orange glow: Dim
- Voltage meter: +88%
- Field strength: 4%
Interpretation: Absolute buying dominance, may precede bearish correction
โ Trading Signals
โก DISCHARGE IMMINENT
Appearance Conditions:
- discharge_prob โฅ 0.9
- All enabled filters passed
- Confirmed (after candle close)
Interpretation:
- Very large energy accumulation
- Pressure reached critical level
- Price explosion expected within 1โ3 candles
How to Trade:
1. Determine voltage direction:
โข Positive = Expect rise
โข Negative = Expect fall
2. Wait for confirmation candle:
โข For rise: Bullish candle closing above its open
โข For fall: Bearish candle closing below its open
3. Entry: With next candle's open
4. Stop Loss: Behind last local low/high
5. Target: Risk/Reward ratio of at least 1:2
โ
Pro Tips:
- Best results when combined with support/resistance levels
- Avoid entry if voltage is near zero (ยฑ5%)
- Increase position size when field strength > 30%
โ ๏ธ HIGH TENSION
Appearance Conditions:
- 0.7 โค discharge_prob < 0.9
Interpretation:
- Market in energy accumulation state
- Likely strong move soon, but not immediate
- Accumulation may continue or discharge may occur
How to Benefit:
- Prepare: Set pending orders at potential breakouts
- Monitor: Watch following candles for momentum candle
- Select: Don't enter every signal โ choose those aligned with overall trend
โ Trading Strategies
๐ Strategy 1: Discharge Trading (Basic)
Principle: Enter at "DISCHARGE IMMINENT" in voltage direction
Steps:
1. Wait for "โก DISCHARGE IMMINENT"
2. Check voltage direction (+/โ)
3. Wait for confirmation candle in voltage direction
4. Enter with next candle's open
5. Stop loss behind last low/high
6. Target: 1:2 or 1:3 ratio
Very high success rate when following confirmation conditions.
๐ Strategy 2: Dominance Following
Principle: Trade with dominant pole (largest and brightest sphere)
Steps:
1. Identify dominant pole (largest and brightest)
2. Trade in its direction
3. Beware when sizes converge (conflict)
Suitable for higher timeframes (H1+).
๐ Strategy 3: Reversal Hunting
Principle: Counter-trend entry under certain conditions
Conditions:
- High field strength (>30%)
- Extreme voltage (>ยฑ40%)
- Divergence with price (e.g., new price high with declining voltage)
โ ๏ธ High risk โ Use small position size.
๐ Strategy 4: Integration with Technical Analysis
Strong Confirmation Examples:
- Resistance breakout + Bullish discharge = Excellent buy signal
- Support break + Bearish discharge = Excellent sell signal
- Head & Shoulders pattern + Increasing negative voltage = Pattern confirmation
- RSI divergence + High field strength = Potential reversal
โ Ready Alerts
Bullish Discharge
- Condition: discharge_prob โฅ 0.9 + Positive voltage + All filters
- Message: "โก Bullish discharge"
- Use: High probability buy opportunity
Bearish Discharge
- Condition: discharge_prob โฅ 0.9 + Negative voltage + All filters
- Message: "โก Bearish discharge"
- Use: High probability sell opportunity
โ
Tip: Use these alerts with "Once Per Bar" setting to avoid repetition.
โ Data Window Outputs
Bias
- Values: โ1 / 0 / +1
- Interpretation: โ1 = Bearish, 0 = Neutral, +1 = Bullish
- Use: For integration in automated strategies
Discharge %
- Range: 0โ100%
- Interpretation: Discharge probability
- Use: Monitor tension progression (e.g., from 40% to 85% in 5 candles)
Field Strength
- Range: 0โ100%
- Interpretation: Conflict intensity
- Use: Identify "opportunity window" (25โ35% ideal for discharge)
Voltage
- Range: โ100% to +100%
- Interpretation: Balance of power
- Use: Monitor extremes (potential buying/selling saturation)
โ Optimal Settings by Trading Style
Scalping
- Timeframe: 1Mโ5M
- Lookback: 10โ15
- Threshold: 0.5โ0.6
- Sensitivity: 1.2โ1.5
- Filters: Volume + Volatility
Day Trading
- Timeframe: 15Mโ1H
- Lookback: 20
- Threshold: 0.7
- Sensitivity: 1.0
- Filters: Volume + Volatility
Swing Trading
- Timeframe: 4HโD1
- Lookback: 30โ50
- Threshold: 0.8
- Sensitivity: 0.8
- Filters: Volatility + Trend
Position Trading
- Timeframe: D1โW1
- Lookback: 50โ100
- Threshold: 0.85โ0.95
- Sensitivity: 0.5โ0.8
- Filters: All filters
โ Tips for Optimal Use
1. Start with Default Settings
Try it first as is, then adjust to your style.
2. Watch for Element Alignment
Best signals when:
- Clear voltage (>โ20%โ)
- Moderateโhigh field strength (15โ35%)
- High discharge probability (>70%)
3. Use Multiple Timeframes
- Higher timeframe: Determine overall trend
- Lower timeframe: Time entry
- Ensure signal alignment between frames
4. Integrate with Other Tools
- Support/Resistance levels
- Trend lines
- Candle patterns
- Volume indicators
5. Respect Risk Management
- Don't risk more than 1โ2% of account
- Always use stop loss
- Don't enter every signal โ choose the best
โ Important Warnings
โ ๏ธ Not for Standalone Use
The indicator is an analytical support tool โ don't use it isolated from technical or fundamental analysis.
โ ๏ธ Doesn't Predict the Future
Calculations are based on historical data โ Results are not guaranteed.
โ ๏ธ Markets Differ
You may need to adjust settings for each market:
- Forex: Focus on Volume Filter
- Stocks: Add Trend Filter
- Crypto: Lower Threshold slightly (more volatile)
โ ๏ธ News and Events
The indicator doesn't account for sudden news โ Avoid trading before/during major news.
โ Unique Features
โ
First Application of Electromagnetism to Markets
Innovative mathematical model โ Not just an ordinary indicator
โ
Predictive Detection of Price Explosions
Alerts before the move happens โ Not after
โ
Multi-Layer Filtering
4 smart filters reduce false signals to minimum
โ
Smart Volatility Adaptation
Automatically adjusts sensitivity based on market conditions
โ
Animated 3D Visual Representation
Makes reading instant โ Even for beginners
โ
High Flexibility
Works on all assets: Stocks, Forex, Crypto, Commodities
โ
Built-in Ready Alerts
No complex setup needed โ Ready for immediate use
โ Conclusion: When Art Meets Science
Market Electromagnetic Field is not just an indicator โ but a new analytical philosophy.
It's the bridge between:
- Physics precision in describing dynamic systems
- Market intelligence in generating trading opportunities
- Visual psychology in facilitating instant reading
The result: A tool that isn't read โ but watched, felt, and sensed.
When you see the green sphere expanding, the glow intensifying, and particles rushing rightward โ you're not seeing numbers, you're seeing market energy breathing.
โ ๏ธ Disclaimer:
This indicator is for educational and analytical purposes only. It does not constitute financial, investment, or trading advice. Use it in conjunction with your own strategy and risk management. Neither TradingView nor the developer is liable for any financial decisions or losses.
ุงูู
ุฌุงู ุงูููุฑูู
ุบูุงุทูุณู ููุณูู - Market Electromagnetic Field
ู
ุคุดุฑ ุชุญูููู ู
ุจุชูุฑ ููุฏูู
ูู
ูุฐุฌูุง ุฌุฏูุฏูุง ูููููุง ูููู
ุฏููุงู
ูููุงุช ุงูุณููุ ู
ุณุชูุญู ู
ู ููุงููู ุงูููุฒูุงุก ุงูููุฑูู
ุบูุงุทูุณูุฉ โ ูููู ููุณ ุงุณุชุนุงุฑุฉ ุจูุงุบูุฉุ ุจู ูุธุงู
ุฑูุงุถู ู
ุชูุงู
ู.
ุนูู ุนูุณ ุงูู
ุคุดุฑุงุช ุงูุชูููุฏูุฉ ุงูุชู ุชูุฑููุฒ ุนูู ุงูุณุนุฑ ุฃู ุงูุฒุฎู
ุ ููุตููุฑ ูุฐุง ุงูู
ุคุดุฑ ุงูุณูู ูููุธุงู
ููุฒูุงุฆู ู
ุบููุ ุญูุซ:
โก ุงูุดู
ูุน = ุดุญูุงุช ููุฑุจุงุฆูุฉ (ู
ูุฌุจุฉ ุนูุฏ ุงูุฅุบูุงู ุงูุตุงุนุฏุ ุณุงูุจุฉ ุนูุฏ ุงููุงุจุท)
โก ุงูู
ุดุชุฑููู ูุงูุจุงุฆุนูู = ูุทุจุงู ู
ุชุนุงูุณุงู ูุชุฑุงูู
ูููู
ุง ุงูุถุบุท
โก ุงูุชูุชุฑ ุงูุณููู = ูุฑู ุฌูุฏ ุจูู ุงููุทุจูู
โก ุงูุงุฎุชุฑุงู ุงูุณุนุฑู = ุชูุฑูุบ ููุฑุจุงุฆู ุจุนุฏ ุชุฑุงูู
ุทุงูุฉ ูุงููุฉ
โ ุงูููุฑุฉ ุงูุฌููุฑูุฉ
ุงูุฃุณูุงู ูุง ุชุชุญุฑู ุนุดูุงุฆูููุงุ ุจู ุชุฎุถุน ูุฏูุฑุฉ ููุฒูุงุฆูุฉ ูุงุถุญุฉ:
ุชุฑุงูู
โ ุชูุชุฑ โ ุชูุฑูุบ โ ุงุณุชูุฑุงุฑ โ ุชุฑุงูู
ุฌุฏูุฏ
ุนูุฏู
ุง ุชุชุฑุงูู
ุงูุดุญูุงุช (ู
ู ุฎูุงู ุดู
ูุน ูููุฉ ุจุญุฌู
ู
ุฑุชูุน) ูุชุชุฌุงูุฒ "ุงูุณุนุฉ ุงูููุฑุจุงุฆูุฉ" ุนุชุจุฉ ู
ุนูููุฉุ ููุตุฏุฑ ุงูู
ุคุดุฑ ุชูุจูู "โก DISCHARGE IMMINENT" โ ุฃู ุฃู ุงููุฌุงุฑูุง ุณุนุฑูููุง ูุดูููุงุ ู
ู
ุง ูู
ูุญ ุงูู
ุชุฏุงูู ูุฑุตุฉ ุงูุฏุฎูู ูุจู ุจุฏุก ุงูุญุฑูุฉ.
โ ุงูู
ูุฒุฉ ุงูุชูุงูุณูุฉ
- ุชูุจุค ุงุณุชุจุงูู (ููุณ ุชุฃููุฏูููุง ุจุนุฏ ุงูุญุฏุซ)
- ููุชุฑุฉ ุฐููุฉ ู
ุชุนุฏุฏุฉ ุงูุทุจูุงุช ุชููู ุงูุฅุดุงุฑุงุช ุงููุงุฐุจุฉ
- ุชู
ุซูู ุจุตุฑู ุซูุงุซู ุงูุฃุจุนุงุฏ ู
ุชุญุฑู ูุฌุนู ูุฑุงุกุฉ ุงูุญุงูุฉ ุงูุณุนุฑูุฉ ููุฑูุฉ ูุจุฏูููุฉ โ ุฏูู ุญุงุฌุฉ ูุชุญููู ุฃุฑูุงู
โ ุงูุฃุณุงุณ ุงููุธุฑู ุงูููุฒูุงุฆู
ุงูู
ุคุดุฑ ูุง ูุณุชุฎุฏู
ู
ุตุทูุญุงุช ููุฒูุงุฆูุฉ ููุฒููุฉุ ุจู ููุทุจูู ุงูููุงููู ุงูุฑูุงุถูุฉ ู
ุน ุชุนุฏููุงุช ุณููููุฉ ุฏูููุฉ:
โก ูุงููู ููููู
(Coulomb's Law)
ุงูููุฒูุงุก: F = k ร (qโ ร qโ) / rยฒ
ุงูุณูู: ุดุฏุฉ ุงูุญูู = 4 ร norm_positive ร norm_negative
ุชุตู ูุฐุฑูุชูุง ุนูุฏ ุงูุชูุงุฒู (0.5 ร 0.5 ร 4 = 1.0)ุ ูุชูุฎูุถ ุนูุฏ ุงูููู
ูุฉ โ ูุฃู ุงูุตุฑุงุน ูุฒุฏุงุฏ ุนูุฏ ุงูุชูุงูุค.
โก ูุงููู ุฃูู
(Ohm's Law)
ุงูููุฒูุงุก: V = I ร R
ุงูุณูู: ุงูุฌูุฏ = norm_positive โ norm_negative
ูููุณ ู
ูุฒุงู ุงูููู:
- +1 = ููู
ูุฉ ุดุฑุงุฆูุฉ ู
ุทููุฉ
- โ1 = ููู
ูุฉ ุจูุนูุฉ ู
ุทููุฉ
- 0 = ุชูุงุฒู
โก ุงูุณุนุฉ ุงูููุฑุจุงุฆูุฉ (Capacitance)
ุงูููุฒูุงุก: C = Q / V
ุงูุณูู: ุงูุณุนุฉ = |ุงูุฌูุฏ| ร ุดุฏุฉ ุงูุญูู
ุชู
ุซูู ุงูุทุงูุฉ ุงูู
ุฎุฒููุฉ ุงููุงุจูุฉ ููุชูุฑูุบ โ ุชุฒุฏุงุฏ ุนูุฏ ูุฌูุฏ ุชุญููุฒ ู
ุน ุชูุงุนู ุนุงูู.
โก ุงูุชูุฑูุบ ุงูููุฑุจุงุฆู (Discharge)
ุงูููุฒูุงุก: ูุญุฏุซ ุนูุฏ ุชุฌุงูุฒ ุนุชุจุฉ ุงูุนุฒู
ุงูุณูู: ุงุญุชู
ุงู ุงูุชูุฑูุบ = min(ุงูุณุนุฉ / ุนุชุจุฉ ุงูุชูุฑูุบ, 1.0)
ุนูุฏู
ุง โฅ 0.9: "โก DISCHARGE IMMINENT"
๐ ู
ูุงุญุธุฉ ุฌููุฑูุฉ:
ุฃูุตู ุณุนุฉ ูุง ุชุญุฏุซ ุนูุฏ ุงูููู
ูุฉ ุงูู
ุทููุฉ (ุญูุซ ุดุฏุฉ ุงูุญูู = 0)ุ ููุง ุนูุฏ ุงูุชูุงุฒู ุงูุชุงู
(ุญูุซ ุงูุฌูุฏ = 0)ุ ุจู ุนูุฏ ุงูุญูุงุฒ ู
ุชูุณุท (ยฑ30โ50%) ู
ุน ุชูุงุนู ุนุงูู (ุดุฏุฉ ุญูู > 25%) โ ุฃู ูู ูุญุธุงุช "ุงูุถุบุท ูุจู ุงูุงุฎุชุฑุงู".
โ ุขููุฉ ุงูุญุณุงุจ ุงูุชูุตูููุฉ
โก ุงูู
ุฑุญูุฉ 1: ูุทุจูุฉ ุงูุดู
ุนุฉ
polarity = (close โ open) / (high โ low)
- +1.0: ุดู
ุนุฉ ุตุงุนุฏุฉ ูุงู
ูุฉ (ู
ุงุฑูุจูุฒู ุตุงุนุฏ)
- โ1.0: ุดู
ุนุฉ ูุงุจุทุฉ ูุงู
ูุฉ (ู
ุงุฑูุจูุฒู ูุงุจุท)
- 0.0: ุฏูุฌู (ูุง ูุฑุงุฑ)
- ุงูููู
ุงููุณูุทุฉ: ุชู
ุซูู ูุณุจุฉ ุฌุณู
ุงูุดู
ุนุฉ ุฅูู ู
ุฏุงูุง โ ู
ู
ุง ููููู ุชุฃุซูุฑ ุงูุดู
ูุน ุฐุงุช ุงูุธูุงู ุงูุทูููุฉ
โก ุงูู
ุฑุญูุฉ 2: ูุฒู ุงูุญุฌู
vol_weight = volume / SMA(volume, lookback)
ุดู
ุนุฉ ุจุญุฌู
150% ู
ู ุงูู
ุชูุณุท = ุดุญูุฉ ุฃููู ุจู 1.5 ู
ุฑุฉ
โก ุงูู
ุฑุญูุฉ 3: ู
ุนุงู
ู ุงูุชููู (Adaptive Factor)
adaptive_factor = ATR(lookback) / SMA(ATR, lookback ร 2)
- ูู ุงูุฃุณูุงู ุงูู
ุชููุจุฉ: ูุฒูุฏ ุงูุญุณุงุณูุฉ
- ูู ุงูุฃุณูุงู ุงููุงุฏุฆุฉ: ูููู ุงูุถูุถุงุก
- ููุตู ุฏุงุฆู
ูุง ุจุชุฑูู ู
ูุนูููุง
โก ุงูู
ุฑุญูุฉ 4โ6: ุชุฑุงูู
ูุชูุญูุฏ ุงูุดุญูุงุช
ุชูุฌู
ูุน ุงูุดุญูุงุช ุนูู lookback ุดู
ุนุฉุ ุซู
ุชููุญูุฏ ุงููุณุจ:
norm_positive = positive_charge / total_charge
norm_negative = negative_charge / total_charge
ุจุญูุซ: norm_positive + norm_negative = 1 โ ูุชุณููู ุงูู
ูุงุฑูุฉ
โก ุงูู
ุฑุญูุฉ 7: ุญุณุงุจุงุช ุงูุญูู
voltage = norm_positive โ norm_negative
field_intensity = 4 ร norm_positive ร norm_negative ร field_sensitivity
capacitance = |voltage| ร field_intensity
discharge_prob = min(capacitance / discharge_threshold, 1.0)
โ ุงูุฅุนุฏุงุฏุงุช
โก Electromagnetic Model
Lookback Period
- ุงูุงูุชุฑุงุถู: 20
- ุงููุทุงู: 5โ100
- ุงูุชูุตูุงุช:
- ุงูู
ุถุงุฑุจุฉ: 10โ15
- ุงูููู
ู: 20
- ุงูุณูููุบ: 30โ50
- ุงูุงุณุชุซู
ุงุฑ: 50โ100
Discharge Threshold
- ุงูุงูุชุฑุงุถู: 0.7
- ุงููุทุงู: 0.3โ0.95
- ุงูุชูุตูุงุช:
- ุณุฑุนุฉ + ุถูุถุงุก: 0.5โ0.6
- ุชูุงุฒู: 0.7
- ุฏูุฉ ุนุงููุฉ: 0.8โ0.95
Field Sensitivity
- ุงูุงูุชุฑุงุถู: 1.0
- ุงููุทุงู: 0.5โ2.0
- ุงูุชูุตูุงุช:
- ุชุถุฎูู
ุงูุตุฑุงุน: 1.2โ1.5
- ุทุจูุนู: 1.0
- ุชูุฏุฆุฉ: 0.5โ0.8
Adaptive Mode
- ุงูุงูุชุฑุงุถู: ู
ูุนูู
- ุฃุจููู ุฏุงุฆู
ูุง ู
ูุนูููุง
๐ฌ Dynamic Filters
ูุฌุจ ุงุฌุชูุงุฒ ุฌู
ูุน ุงูููุงุชุฑ ุงูู
ูุนููุฉ ูุธููุฑ ุฅุดุงุฑุฉ ุงูุชูุฑูุบ.
Volume Filter
- ุงูุดุฑุท: volume > SMA(volume) ร vol_multiplier
- ุงููุธููุฉ: ูุณุชุจุนุฏ ุงูุดู
ูุน "ุงูุถุนููุฉ" ุบูุฑ ุงูู
ุฏุนูู
ุฉ ุจุญุฌู
- ุงูุชูุตูุฉ: ู
ูุนูู (ุฎุงุตุฉ ููุฃุณูู
ูุงูุนู
ูุงุช)
Volatility Filter
- ุงูุดุฑุท: STDEV > SMA(STDEV) ร 0.5
- ุงููุธููุฉ: ูุชุฌุงูู ูุชุฑุงุช ุงูุฑููุฏ ุงูุฌุงูุจู
- ุงูุชูุตูุฉ: ู
ูุนูู ุฏุงุฆู
ูุง
Trend Filter
- ุงูุดุฑุท: ุชูุงูู ุงูุฌูุฏ ู
ุน EMA ุณุฑูุน/ุจุทูุก
- ุงููุธููุฉ: ูููู ุงูุฅุดุงุฑุงุช ุงูู
ุนุงูุณุฉ ููุงุชุฌุงู ุงูุนุงู
- ุงูุชูุตูุฉ: ู
ูุนูู ููุณูููุบ/ุงูุงุณุชุซู
ุงุฑ ููุท
Volume Threshold
- ุงูุงูุชุฑุงุถู: 1.2
- ุงูุชูุตูุงุช:
- 1.0โ1.2: ุญุณุงุณูุฉ ุนุงููุฉ
- 1.5โ2.0: ุญุตุฑูุฉ ููุญุฌู
ุงูุนุงูู
๐จ Visual Settings
ุงูุฅุนุฏุงุฏุงุช ุชูุญุณูู ุชุฌุฑุจุฉ ุงููุฑุงุกุฉ ุงูุจุตุฑูุฉ โ ูุง ุชุคุซุฑ ุนูู ุงูุญุณุงุจุงุช.
Scale Factor
- ุงูุงูุชุฑุงุถู: 600
- ููู
ุง ุฒุงุฏ: ุงูู
ุดูุฏ ุฃูุจุฑ (200โ1200)
Horizontal Shift
- ุงูุงูุชุฑุงุถู: 180
- ุฅุฒุงุญุฉ ุฃููููุฉ ูููุณุงุฑ โ ููุฑููุฒ ุนูู ุขุฎุฑ ุดู
ุนุฉ
Pole Size
- ุงูุงูุชุฑุงุถู: 60
- ุญุฌู
ุงููุฑุงุช ุงูุฃุณุงุณูุฉ (30โ120)
Field Lines
- ุงูุงูุชุฑุงุถู: 8
- ุนุฏุฏ ุฎุทูุท ุงูุญูู (4โ16) โ 8 ุชูุงุฒู ู
ุซุงูู
ุงูุฃููุงู
- ุฃุฎุถุฑ/ุฃุญู
ุฑ/ุฃุฒุฑู/ุจุฑุชูุงูู
- ูุงุจูุฉ ููุชุฎุตูุต ุจุงููุงู
ู
โ ุงูุชู
ุซูู ุงูุจุตุฑู: ูุบุฉ ุจุตุฑูุฉ ูุชุดุฎูุต ุงูุญุงูุฉ ุงูุณุนุฑูุฉ
โจ ุงูููุณูุฉ ุงูุชุตู
ูู
ูุฉ
ุงูุชู
ุซูู ููุณ "ุฒููุฉ"ุ ุจู ูู
ูุฐุฌ ู
ุนุฑูู ู
ุชูุงู
ู โ ูู ุนูุตุฑ ูุญู
ู ู
ุนููู
ุฉุ ูุชูุงุนู ุงูุนูุงุตุฑ ูุฑูู ูุตุฉ ูุงู
ูุฉ.
ุงูุนูู ูุฏุฑู ุงูุชุบููุฑ ูู ุงูุญุฌู
ุ ุงููููุ ูุงูุญุฑูุฉ ุฃุณุฑุน ุจู 60,000 ู
ุฑุฉ ู
ู ูุฑุงุกุฉ ุงูุฃุฑูุงู
โ ูุฐุง ูู
ููู "ุงูุฅุญุณุงุณ" ุจุงูุชุบูุฑ ูุจู ุฃู ุชูููู ุงูุนูู ุงูู
ุณุญ.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ข ุงููุทุจ ุงูู
ูุฌุจ (ุงููุฑุฉ ุงูุฎุถุฑุงุก โ ูุณุงุฑ)
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
ู
ุงุฐุง ูู
ุซููุ
ุชุฑุงูู
ุถุบุท ุงูุดุฑุงุก ุงููุดุท โ ููุณ ู
ุฌุฑุฏ ุงุชุฌุงู ุตุงุนุฏุ ุจู ููุฉ ุทูุจ ุญููููุฉ ู
ุฏุนูู
ุฉ ุจุญุฌู
ูุชูููุจ.
โ ุงูุญุฌู
ุงูู
ุชุบูุฑ
ุญุฌู
= pole_size ร (0.7 + norm_positive ร 0.6)
- 70% ู
ู ุงูุญุฌู
ุงูุฃุณุงุณู = ูุง ุดุญูุฉ ุชูุฐูุฑ
- 130% ู
ู ุงูุญุฌู
ุงูุฃุณุงุณู = ููู
ูุฉ ุชุงู
ุฉ
- ููู
ุง ูุจุฑุช ุงููุฑุฉ: ุฒุงุฏ ุชูููู ุงูู
ุดุชุฑููุ ูุงุฑุชูุน ุงุญุชู
ุงู ุงูุงุณุชู
ุฑุงุฑ ุงูุตุนูุฏู
ุชูุณูุฑ ุงูุญุฌู
:
- ูุฑุฉ ูุจูุฑุฉ (>55%): ุถุบุท ุดุฑุงุก ููู โ ุงูู
ุดุชุฑูู ูุณูุทุฑูู
- ูุฑุฉ ู
ุชูุณุทุฉ (45โ55%): ุชูุงุฒู ูุณุจู ู
ุน ู
ูู ููุดุฑุงุก
- ูุฑุฉ ุตุบูุฑุฉ (<45%): ุถุนู ุถุบุท ุงูุดุฑุงุก โ ุงูุจุงุฆุนูู ูุณูุทุฑูู
โ ุงูุฅุถุงุกุฉ ูุงูุดูุงููุฉ
- ุดูุงููุฉ 20% (ุนูุฏ Bias = +1): ุงููุทุจ ูุดุท ุญุงููุงู โ ุงูุงุชุฌุงู ุตุนูุฏู
- ุดูุงููุฉ 50% (ุนูุฏ Bias โ +1): ุงููุทุจ ุบูุฑ ูุดุท โ ููุณ ุงูุงุชุฌุงู ุงูุณุงุฆุฏ
ุงูุฅุถุงุกุฉ = ุงููุดุงุท ุงูุญุงููุ ุจููู
ุง ุงูุญุฌู
= ุงูุชุฑุงูู
ุงูุชุงุฑูุฎู
โ ุงูุชููุฌ ุงูุฏุงุฎูู ุงููุงุจุถ
ูุฑุฉ ุฃุตุบุฑ ุชูุจุถ ุชููุงุฆูููุง ุนูุฏ Bias = +1:
inner_pulse = 0.4 + 0.1 ร sin(anim_time ร 3)
ูุฑู
ุฒ ุฅูู ุงุณุชู
ุฑุงุฑูุฉ ุชุฏูู ุฃูุงู
ุฑ ุงูุดุฑุงุก โ ูููุณ ููู
ูุฉ ุฌุงู
ุฏุฉ.
โ ุงูุญููุงุช ุงูู
ุฏุงุฑูุฉ
ุญููุชุงู ุชุฏูุฑุงู ุจุณุฑุนุงุช ูุงุชุฌุงูุงุช ู
ุฎุชููุฉ:
- ุงูุฏุงุฎููุฉ: 1.3ร ุญุฌู
ุงููุฑุฉ โ ูุทุงู ุงูุชุฃุซูุฑ ุงูู
ุจุงุดุฑ
- ุงูุฎุงุฑุฌูุฉ: 1.6ร ุญุฌู
ุงููุฑุฉ โ ูุทุงู ุงูุชุฃุซูุฑ ุงูู
ู
ุชุฏ
ุชู
ุซูู "ูุทุงู ุชุฃุซูุฑ" ุงูู
ุดุชุฑูู:
- ุงูุฏูุฑุงู ุงูู
ุณุชู
ุฑ = ุงุณุชูุฑุงุฑ ูุฒุฎู
- ุงูุชุจุงุทุค = ููุงุฏ ุงูุฒุฎู
โ ุงููุณุจุฉ ุงูู
ุฆููุฉ
ุชุธูุฑ ุชุญุช ุงููุฑุฉ: norm_positive ร 100
- >55% = ููู
ูุฉ ูุงุถุญุฉ
- 45โ55% = ุชูุงุฒู
- <45% = ุถุนู
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ด ุงููุทุจ ุงูุณุงูุจ (ุงููุฑุฉ ุงูุญู
ุฑุงุก โ ูู
ูู)
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
ู
ุงุฐุง ูู
ุซููุ
ุชุฑุงูู
ุถุบุท ุงูุจูุน ุงููุดุท โ ุณูุงุก ูุงู ุจูุนูุง ุชุฑุงูู
ูููุง (ุงูุชูุฒูุน ุงูุฐูู) ุฃู ุจูุนูุง ูุณุชูุฑูููุง (ุชุตููุฉ ู
ุฑุงูุฒ).
โ ุงูุฏููุงู
ูููุงุช ุงูุจุตุฑูุฉ
ููุณ ุขููุฉ ุงูุญุฌู
ูุงูุฅุถุงุกุฉ ูุงูุชููุฌ ุงูุฏุงุฎูู โ ููู ุจุงูููู ุงูุฃุญู
ุฑ.
ุงููุฑู ุงูุฌููุฑู:
- ุงูุฏูุฑุงู ู
ุนููุณ (ุนูุณ ุงุชุฌุงู ุนูุงุฑุจ ุงูุณุงุนุฉ)
- ููู
ููุฒ ุจุตุฑูููุง ุจูู "ุชุฏูู ุงูุดุฑุงุก" ู"ุชุฏูู ุงูุจูุน"
- ูุณู
ุญ ุจูุฑุงุกุฉ ุงูุงุชุฌุงู ุจูุธุฑุฉ ูุงุญุฏุฉ โ ุญุชู ููู
ุตุงุจูู ุจุนูู
ูู ุงูุฃููุงู
๐ ู
ูุฎุต ูุฑุงุกุฉ ุงููุทุจูู:
๐ข ูุฑุฉ ุฎุถุฑุงุก ูุจูุฑุฉ + ู
ุถูุฆุฉ = ููุฉ ุดุฑุงุฆูุฉ ูุดุทุฉ
๐ด ูุฑุฉ ุญู
ุฑุงุก ูุจูุฑุฉ + ู
ุถูุฆุฉ = ููุฉ ุจูุนูุฉ ูุดุทุฉ
๐ข๐ด ูุฑุชุงู ูุจูุฑุชุงู ููู ุฎุงูุชุชุงู = ุชุฑุงูู
ุทุงูุฉ (ูุจู ุงูุชูุฑูุบ)
โช ูุฑุชุงู ุตุบูุฑุชุงู = ุฑููุฏ / ุณูููุฉ ู
ูุฎูุถุฉ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ต ุฎุทูุท ุงูุญูู (ุงูุฎุทูุท ุงูุฒุฑูุงุก ุงูู
ูุญููุฉ)
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
ู
ุงุฐุง ุชู
ุซููุ
ู
ุณุงุฑุงุช ุชุฏูู ุงูุทุงูุฉ ุจูู ุงููุทุจูู โ ุฃู ุงูุณุงุญุฉ ุงูุชู ุชูุฏุงุฑ ูููุง ุงูู
ุนุฑูุฉ ุงูุณุนุฑูุฉ.
โ ุนุฏุฏ ุงูุฎุทูุท
4โ16 ุฎุท (ุงูุงูุชุฑุงุถู: 8)
ููู
ุง ุฒุงุฏ ุงูุนุฏุฏ: ุฒุงุฏ ุฅุญุณุงุณ "ูุซุงูุฉ ุงูุชูุงุนู"
โ ุงุฑุชูุงุน ุงูููุณ
arc_h = (i โ half_lines) ร 15 ร field_intensity ร 2
- ุดุฏุฉ ุญูู ุนุงููุฉ = ุฎุทูุท ุดุฏูุฏุฉ ุงูุงุฑุชูุงุน (ู
ุซู ู
ูุฌุฉ)
- ุดุฏุฉ ู
ูุฎูุถุฉ = ุฎุทูุท ุดุจู ู
ุณุชููู
ุฉ
โ ุงูุดูุงููุฉ ุงูู
ุชุฐุจุฐุจุฉ
transp = 30 + phase ร 40
ุญูุซ phase = sin(anim_time ร 2 + i ร 0.5) ร 0.5 + 0.5
ุชุฎูู ููู
"ุชููุงุฑ ู
ุชุฏููู" โ ูููุณ ุฎุทูุทูุง ุซุงุจุชุฉ
โ ุงูุงูุญูุงุก ุบูุฑ ุงูู
ุชูุงุธุฑ
- ุงูุฎุทูุท ุงูุนูููุฉ ุชูุญูู ูุฃุนูู
- ุงูุฎุทูุท ุงูุณูููุฉ ุชูุญูู ูุฃุณูู
- ููุถูู ุนู
ููุง ุซูุงุซู ุงูุฃุจุนุงุฏ ูููุธูุฑ ุงุชุฌุงู "ุงูุถุบุท"
โก ุชูู
ูุญ ุงุญุชุฑุงูู:
ุนูุฏู
ุง ุชุฑู ุงูุฎุทูุท "ุชุชูููุต" ูุฌุฃุฉ (ุชุณุชููู
)ุ ุจููู
ุง ุงููุฑุชุงู ูุจูุฑุชุงู โ ููุฐุง ู
ุคุดุฑ ู
ุจูุฑ ุนูู ูุฑุจ ุงูุชูุฑูุบุ ูุฃู ุงูุชูุงุนู ุจุฏุฃ ูููุฏ ู
ุฑููุชู.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โช ุงูุฌุฒูุฆุงุช ุงูู
ุชุญุฑูุฉ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
ู
ุงุฐุง ุชู
ุซููุ
ุชุฏูู ุงูุณูููุฉ ุงูุญููููุฉ ูู ุงูุณูู โ ุฃู ู
ู ูุฏูุน ุงูุณุนุฑ ุงูุขู.
โ ุงูุนุฏุฏ ูุงูุญุฑูุฉ
- 6 ุฌุฒูุฆุงุช ุชุบุทู ู
ุนุธู
ุฎุทูุท ุงูุญูู
- ุชุชุญุฑู ุฌูุจูููุง ุนูู ุทูู ุงูููุณ:
t = (sin(phase_val) + 1) / 2
- ุณุฑุนุฉ ุนุงููุฉ = ูุดุงุท ุชุฏุงูู ุนุงูู
- ุชุฌู
ูุน ุนูุฏ ูุทุจ = ุณูุทุฑุฉ ูุฐุง ุงูุทุฑู
โ ุชุฏุฑุฌ ุงูููู
ู
ู ุฃุฎุถุฑ (ุนูุฏ ุงููุทุจ ุงูู
ูุฌุจ) ุฅูู ุฃุญู
ุฑ (ุนูุฏ ุงูุณุงูุจ)
ููุธูุฑ "ุชุญููู ุงูุทุงูุฉ":
- ุฌุฒูุก ุฃุฎุถุฑ = ุทุงูุฉ ุดุฑุงุฆูุฉ ูููุฉ
- ุฌุฒูุก ุจุฑุชูุงูู = ู
ูุทูุฉ ุตุฑุงุน
- ุฌุฒูุก ุฃุญู
ุฑ = ุทุงูุฉ ุจูุนูุฉ ูููุฉ
๐ ููู ุชูุฑุฃูุงุ
- ุชุญุฑูุช ู
ู ุงููุณุงุฑ ูููู
ูู (๐ข โ ๐ด): ุชุฏูู ุดุฑุงุฆู โ ุฏูุน ุตุนูุฏู
- ุชุญุฑูุช ู
ู ุงููู
ูู ูููุณุงุฑ (๐ด โ ๐ข): ุชุฏูู ุจูุนู โ ุฏูุน ูุจูุทู
- ุชุฌู
ูุนุช ูู ุงูู
ูุชุตู: ุตุฑุงุน ู
ุชูุงูุฆ โ ุงูุชุธุฑ ุงุฎุชุฑุงููุง
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ ู
ูุทูุฉ ุงูุชูุฑูุบ (ุงูุชููุฌ ุงูุจุฑุชูุงูู โ ุงูู
ุฑูุฒ)
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
ู
ุงุฐุง ุชู
ุซููุ
ููุทุฉ ุชุฑุงูู
ุงูุทุงูุฉ ุงูู
ุฎุฒููุฉ ุงูุชู ูู
ุชููุฑูุบ ุจุนุฏ โ ููุจ ูุธุงู
ุงูุฅูุฐุงุฑ ุงูู
ุจูุฑ.
โ ู
ุฑุงุญู ุงูุชููุฌ
ุฅูุฐุงุฑ ุฃููู (discharge_prob > 0.3):
- ุฏุงุฆุฑุฉ ุจุฑุชูุงููุฉ ุฎุงูุชุฉ (ุดูุงููุฉ 70%)
- ุงูู
ุนูู: ุฑุงูุจุ ูุง ุชุฏุฎู ุจุนุฏ
ุชูุชุฑ ุนุงูู (discharge_prob โฅ 0.7):
- ุชููุฌ ุฃููู + ูุต "โ ๏ธ HIGH TENSION"
- ุงูู
ุนูู: ุงุณุชุนุฏ โ ุถุน ุฃูุงู
ุฑ ู
ุนููุฉ
ุชูุฑูุบ ูุดูู (discharge_prob โฅ 0.9):
- ุชููุฌ ุณุงุทุน + ูุต "โก DISCHARGE IMMINENT"
- ุงูู
ุนูู: ุงุฏุฎู ู
ุน ุงูุงุชุฌุงู (ุจุนุฏ ุชุฃููุฏ ุดู
ุนุฉ)
โ ุชุฃุซูุฑ ุงูุชููุฌ ุงูุทุจูู (Glow Layering)
3 ุฏูุงุฆุฑ ู
ุชุญุฏุฉ ุงูู
ุฑูุฒ ุจุดูุงููุฉ ู
ุชุฒุงูุฏุฉ:
- ุฏุงุฎูู: 20%
- ูุณุท: 35%
- ุฎุงุฑุฌู: 50%
ุงููุชูุฌุฉ: ูุงูุฉ (Aura) ูุงูุนูุฉ ุชุดุจู ุงูุชูุฑูุบ ุงูููุฑุจุงุฆู ุงูุญูููู.
๐ ูู
ุงุฐุง ูู ุงูู
ุฑูุฒุ
ูุฃู ุงูุชูุฑูุบ ูุจุฏุฃ ุฏุงุฆู
ูุง ู
ู ู
ูุทูุฉ ุงูุชูุงุฒู ุงููุณุจู โ ุญูุซ ููุชูู ุงูุถุบุทุงู ุงูู
ุชุนุงูุณุงู.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ ู
ููุงุณ ุงูุฌูุฏ (ุฃุณูู ุงูู
ุดูุฏ)
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
ู
ุงุฐุง ูู
ุซููุ
ู
ุคุดุฑ ุฑูู
ู ู
ุจุณูุท ููุฑู ุงูุฌูุฏ โ ูู
ู ููุถูู ุงููุฑุงุกุฉ ุงูุนุฏุฏูุฉ.
โ ุงูู
ูููุงุช
- ุงูุดุฑูุท ุงูุฑู
ุงุฏู: ุงููุทุงู ุงููุงู
ู (โ100% ุฅูู +100%)
- ุงูุชุนุจุฆุฉ ุงูุฎุถุฑุงุก: ุฌูุฏ ู
ูุฌุจ (ุชู
ุชุฏ ูููู
ูู)
- ุงูุชุนุจุฆุฉ ุงูุญู
ุฑุงุก: ุฌูุฏ ุณุงูุจ (ุชู
ุชุฏ ูููุณุงุฑ)
- ุฑู
ุฒ ุงูุจุฑู (โก): ููู ุงูู
ุฑูุฒ โ ุชุฐููุฑ ุจุฃูู "ู
ููุงุณ ููุฑุจุงุฆู"
- ุงูููู
ุฉ ุงููุตูุฉ: ู
ุซู "+23.4%" โ ุจููู ุงูุงุชุฌุงู
โ ุชูุณูุฑ ูุฑุงุกุงุช ุงูุฌูุฏ
+50% ุฅูู +100%:
ููู
ูุฉ ุดุฑุงุฆูุฉ ุณุงุญูุฉ โ ุงุญุฐุฑ ุงูุชุดุจุนุ ูุฏ ูุณุจู ุชุตุญูุญ
+20% ุฅูู +50%:
ููู
ูุฉ ุดุฑุงุฆูุฉ ูููุฉ โ ู
ูุงุณุจ ููุดุฑุงุก ู
ุน ุงูุงุชุฌุงู
+5% ุฅูู +20%:
ู
ูู ุตุนูุฏู ุฎููู โ ุงูุชุธุฑ ุชุฃููุฏูุง ุฅุถุงููููุง
โ5% ุฅูู +5%:
ุชูุงุฒู/ุญูุงุฏ โ ุชุฌููุจ ุงูุฏุฎูู ุฃู ุงูุชุธุฑ ุงุฎุชุฑุงููุง
โ5% ุฅูู โ20%:
ู
ูู ูุจูุทู ุฎููู โ ุงูุชุธุฑ ุชุฃููุฏูุง
โ20% ุฅูู โ50%:
ููู
ูุฉ ุจูุนูุฉ ูููุฉ โ ู
ูุงุณุจ ููุจูุน ู
ุน ุงูุงุชุฌุงู
โ50% ุฅูู โ100%:
ููู
ูุฉ ุจูุนูุฉ ุณุงุญูุฉ โ ุงุญุฐุฑ ุงูุชุดุจุนุ ูุฏ ูุณุจู ุงุฑุชุฏุงุฏ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ ู
ุคุดุฑ ุดุฏุฉ ุงูุญูู (ุฃุนูู ุงูู
ุดูุฏ)
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
ู
ุง ูุนุฑุถู: "Field: XX.X%"
ุงูุฏูุงูุฉ: ููุฉ ุงูุตุฑุงุน ุจูู ุงูู
ุดุชุฑูู ูุงูุจุงุฆุนูู.
โ ุชูุณูุฑ ุงููุฑุงุกุงุช
0โ5%:
- ุงูู
ุธูุฑ: ุฎุทูุท ู
ุณุชููู
ุฉ ุชูุฑูุจูุงุ ุดูุงูุฉ
- ุงูู
ุนูู: ุณูุทุฑุฉ ุชุงู
ุฉ ูุฃุญุฏ ุงูุทุฑููู
- ุงูุงุณุชุฑุงุชูุฌูุฉ: ุชุชุจุน ุงูุชุฑูุฏ (Trend Following)
5โ15%:
- ุงูู
ุธูุฑ: ุงูุญูุงุก ุฎููู
- ุงูู
ุนูู: ุงุชุฌุงู ูุงุถุญ ู
ุน ู
ูุงูู
ุฉ ุฎูููุฉ
- ุงูุงุณุชุฑุงุชูุฌูุฉ: ุงูุฏุฎูู ู
ุน ุงูุงุชุฌุงู
15โ25%:
- ุงูู
ุธูุฑ: ุงูุญูุงุก ู
ุชูุณุทุ ุฎุทูุท ูุงุถุญุฉ
- ุงูู
ุนูู: ุตุฑุงุน ู
ุชูุงุฒู
- ุงูุงุณุชุฑุงุชูุฌูุฉ: ุชุฏุงูู ุงููุทุงู ุฃู ุงูุงูุชุธุงุฑ
25โ35%:
- ุงูู
ุธูุฑ: ุงูุญูุงุก ุนุงููุ ูุซุงูุฉ ูุงุถุญุฉ
- ุงูู
ุนูู: ุตุฑุงุน ูููุ ุนุฏู
ูููู ุนุงูู
- ุงูุงุณุชุฑุงุชูุฌูุฉ: ุชุฏุงูู ุงูุชูููุจ ุฃู ุงูุงุณุชุนุฏุงุฏ ููุชูุฑูุบ
35%+:
- ุงูู
ุธูุฑ: ุฎุทูุท ุนุงููุฉ ุฌุฏููุงุ ุชููุฌ ููู
- ุงูู
ุนูู: ุฐุฑูุฉ ุงูุชูุชุฑ
- ุงูุงุณุชุฑุงุชูุฌูุฉ: ุฃูุถู ูุฑุต ุงูุชูุฑูุบ
๐ ุงูุนูุงูุฉ ุงูุฐูุจูุฉ:
ุฃุนูู ุงุญุชู
ุงู ุชูุฑูุบ ุนูุฏู
ุง:
ุดุฏุฉ ุงูุญูู (25โ35%) + ุฌูุฏ (ยฑ30โ50%) + ุญุฌู
ู
ุฑุชูุน
โ ูุฐู ูู "ุงูู
ูุทูุฉ ุงูุญู
ุฑุงุก" ุงูุชู ูุฌุจ ู
ุฑุงูุจุชูุง ุจุฏูุฉ.
โ ูุฑุงุกุฉ ุงูุชู
ุซูู ุงูุจุตุฑู ุงูุดุงู
ูุฉ
ููุฑุงุกุฉ ุญุงูุฉ ุงูุณูู ุจูุธุฑุฉ ูุงุญุฏุฉุ ุงุชุจุน ูุฐุง ุงูุชุณูุณู:
ุงูุฎุทูุฉ 1: ุฃู ูุฑุฉ ุฃูุจุฑุ
- ๐ข ุงูุฎุถุฑุงุก ุฃูุจุฑ โ ุถุบุท ุดุฑุงุก ู
ููู
ู
- ๐ด ุงูุญู
ุฑุงุก ุฃูุจุฑ โ ุถุบุท ุจูุน ู
ููู
ู
- ู
ุชุณุงููุชุงู โ ุชูุงุฒู/ุตุฑุงุน
ุงูุฎุทูุฉ 2: ุฃู ูุฑุฉ ู
ุถูุฆุฉุ
- ๐ข ุงูุฎุถุฑุงุก ู
ุถูุฆุฉ โ ุงุชุฌุงู ุตุนูุฏู ุญุงูู
- ๐ด ุงูุญู
ุฑุงุก ู
ุถูุฆุฉ โ ุงุชุฌุงู ูุจูุทู ุญุงูู
- ููุงูู
ุง ุฎุงูุช โ ุญูุงุฏ/ูุง ุงุชุฌุงู ูุงุถุญ
ุงูุฎุทูุฉ 3: ูู ููุฌุฏ ุชููุฌ ุจุฑุชูุงููุ
- ูุง ููุฌุฏ โ ุงุญุชู
ุงู ุชูุฑูุบ <30%
- ๐ ุชููุฌ ุฎุงูุช โ ุงุญุชู
ุงู ุชูุฑูุบ 30โ70%
- ๐ ุชููุฌ ููู ู
ุน ูุต โ ุงุญุชู
ุงู ุชูุฑูุบ >70%
ุงูุฎุทูุฉ 4: ู
ุง ูุฑุงุกุฉ ู
ููุงุณ ุงูุฌูุฏุ
- ู
ูุฌุจ ููู โ ุชุฃููุฏ ุงูููู
ูุฉ ุงูุดุฑุงุฆูุฉ
- ุณุงูุจ ููู โ ุชุฃููุฏ ุงูููู
ูุฉ ุงูุจูุนูุฉ
- ูุฑูุจ ู
ู ุงูุตูุฑ โ ูุง ุงุชุฌุงู ูุงุถุญ
โ ุฃู
ุซูุฉ ุนู
ููุฉ ูููุฑุงุกุฉ ุงูุจุตุฑูุฉ
ุงูู
ุซุงู 1: ูุฑุตุฉ ุดุฑุงุก ู
ุซุงููุฉ โก๐ข
- ุงููุฑุฉ ุงูุฎุถุฑุงุก: ูุจูุฑุฉ ูู
ุถูุฆุฉ ู
ุน ูุจุถ ุฏุงุฎูู
- ุงููุฑุฉ ุงูุญู
ุฑุงุก: ุตุบูุฑุฉ ูุฎุงูุชุฉ
- ุงูุชููุฌ ุงูุจุฑุชูุงูู: ููู ู
ุน ูุต "DISCHARGE IMMINENT"
- ู
ููุงุณ ุงูุฌูุฏ: +45%
- ุดุฏุฉ ุงูุญูู: 28%
ุงูุชูุณูุฑ: ุถุบุท ุดุฑุงุก ููู ู
ุชุฑุงูู
ุ ุงููุฌุงุฑ ุตุนูุฏู ูุดูู
ุงูู
ุซุงู 2: ูุฑุตุฉ ุจูุน ู
ุซุงููุฉ โก๐ด
- ุงููุฑุฉ ุงูุฎุถุฑุงุก: ุตุบูุฑุฉ ูุฎุงูุชุฉ
- ุงููุฑุฉ ุงูุญู
ุฑุงุก: ูุจูุฑุฉ ูู
ุถูุฆุฉ ู
ุน ูุจุถ ุฏุงุฎูู
- ุงูุชููุฌ ุงูุจุฑุชูุงูู: ููู ู
ุน ูุต "DISCHARGE IMMINENT"
- ู
ููุงุณ ุงูุฌูุฏ: โ52%
- ุดุฏุฉ ุงูุญูู: 31%
ุงูุชูุณูุฑ: ุถุบุท ุจูุน ููู ู
ุชุฑุงูู
ุ ุงููุฌุงุฑ ูุจูุทู ูุดูู
ุงูู
ุซุงู 3: ุชูุงุฒู/ุงูุชุธุงุฑ โ๏ธ
- ุงููุฑุชุงู: ู
ุชุณุงููุชุงู ุชูุฑูุจุงู ูู ุงูุญุฌู
- ุงูุฅุถุงุกุฉ: ููุงูู
ุง ุฎุงูุช
- ุงูุชููุฌ ุงูุจุฑุชูุงูู: ููู
- ู
ููุงุณ ุงูุฌูุฏ: +3%
- ุดุฏุฉ ุงูุญูู: 24%
ุงูุชูุณูุฑ: ุตุฑุงุน ููู ุจุฏูู ูุงุฆุฒ ูุงุถุญุ ุงูุชุธุฑ ุงุฎุชุฑุงููุง
ุงูู
ุซุงู 4: ุงุชุฌุงู ุตุนูุฏู ูุงุถุญ (ูุง ุชูุฑูุบ) ๐
- ุงููุฑุฉ ุงูุฎุถุฑุงุก: ูุจูุฑุฉ ูู
ุถูุฆุฉ
- ุงููุฑุฉ ุงูุญู
ุฑุงุก: ุตุบูุฑุฉ ุฌุฏุงู ูุฎุงูุชุฉ
- ุงูุชููุฌ ุงูุจุฑุชูุงูู: ูุง ููุฌุฏ
- ู
ููุงุณ ุงูุฌูุฏ: +68%
- ุดุฏุฉ ุงูุญูู: 8%
ุงูุชูุณูุฑ: ุณูุทุฑุฉ ุดุฑุงุฆูุฉ ูุงุถุญุฉุ ุตุฑุงุน ู
ุญุฏูุฏุ ู
ูุงุณุจ ูุชุชุจุน ุงูุชุฑูุฏ ุงูุตุนูุฏู
ุงูู
ุซุงู 5: ุชุดุจุน ุดุฑุงุฆู ู
ุญุชู
ู โ ๏ธ
- ุงููุฑุฉ ุงูุฎุถุฑุงุก: ูุจูุฑุฉ ุฌุฏุงู ูู
ุถูุฆุฉ
- ุงููุฑุฉ ุงูุญู
ุฑุงุก: ุตุบูุฑุฉ ุฌุฏุงู
- ุงูุชููุฌ ุงูุจุฑุชูุงูู: ุฎุงูุช
- ู
ููุงุณ ุงูุฌูุฏ: +88%
- ุดุฏุฉ ุงูุญูู: 4%
ุงูุชูุณูุฑ: ููู
ูุฉ ุดุฑุงุฆูุฉ ู
ุทููุฉุ ูุฏ ูุณุจู ุชุตุญูุญุงู ูุจูุทูุงู
โ ุฅุดุงุฑุงุช ุงูุชุฏุงูู
โก DISCHARGE IMMINENT (ุงูุชูุฑูุบ ุงููุดูู)
ุดุฑูุท ุงูุธููุฑ:
- discharge_prob โฅ 0.9
- ุงุฌุชูุงุฒ ุฌู
ูุน ุงูููุงุชุฑ ุงูู
ูุนููุฉ
- Confirmed (ุจุนุฏ ุฅุบูุงู ุงูุดู
ุนุฉ)
ุงูุชูุณูุฑ:
- ุชุฑุงูู
ุทุงูุฉ ูุจูุฑ ุฌุฏููุง
- ุงูุถุบุท ูุตู ูู
ุณุชูู ุญุฑุฌ
- ุงููุฌุงุฑ ุณุนุฑู ู
ุชููุน ุฎูุงู 1โ3 ุดู
ูุน
ููููุฉ ุงูุชุฏุงูู:
1. ุญุฏุฏ ุงุชุฌุงู ุงูุฌูุฏ:
โข ู
ูุฌุจ = ุชููุน ุตุนูุฏ
โข ุณุงูุจ = ุชููุน ูุจูุท
2. ุงูุชุธุฑ ุดู
ุนุฉ ุชุฃููุฏูุฉ:
โข ููุตุนูุฏ: ุดู
ุนุฉ ุตุงุนุฏุฉ ุชุบูู ููู ุงูุชุชุงุญูุง
โข ูููุจูุท: ุดู
ุนุฉ ูุงุจุทุฉ ุชุบูู ุชุญุช ุงูุชุชุงุญูุง
3. ุงูุฏุฎูู: ู
ุน ุงูุชุชุงุญ ุงูุดู
ุนุฉ ุงูุชุงููุฉ
4. ููู ุงูุฎุณุงุฑุฉ: ูุฑุงุก ุขุฎุฑ ูุงุน/ูู
ุฉ ู
ุญููุฉ
5. ุงููุฏู: ูุณุจุฉ ู
ุฎุงุทุฑุฉ/ุนุงุฆุฏ 1:2 ุนูู ุงูุฃูู
โ
ูุตุงุฆุญ ุงุญุชุฑุงููุฉ:
- ุฃูุถู ุงููุชุงุฆุฌ ุนูุฏ ุฏู
ุฌูุง ู
ุน ู
ุณุชููุงุช ุงูุฏุนู
/ุงูู
ูุงูู
ุฉ
- ุชุฌููุจ ุงูุฏุฎูู ุฅุฐุง ูุงู ุงูุฌูุฏ ูุฑูุจูุง ู
ู ุงูุตูุฑ (ยฑ5%)
- ุฒูุฏ ุญุฌู
ุงูู
ุฑูุฒ ุนูุฏ ุดุฏุฉ ุญูู > 30%
โ ๏ธ HIGH TENSION (ุงูุชูุชุฑ ุงูุนุงูู)
ุดุฑูุท ุงูุธููุฑ:
- 0.7 โค discharge_prob < 0.9
ุงูุชูุณูุฑ:
- ุงูุณูู ูู ุญุงูุฉ ุชุฑุงูู
ุทุงูุฉ
- ุงุญุชู
ุงู ุญุฑูุฉ ูููุฉ ูุฑูุจุฉุ ููู ููุณุช ููุฑูุฉ
- ูุฏ ูุณุชู
ุฑ ุงูุชุฑุงูู
ุฃู ูุญุฏุซ ุชูุฑูุบ
ููููุฉ ุงูุงุณุชูุงุฏุฉ:
- ุงูุงุณุชุนุฏุงุฏ: ุญุถูุฑ ุฃูุงู
ุฑ ู
ุนููุฉ ุนูุฏ ุงูุงุฎุชุฑุงูุงุช ุงูู
ุญุชู
ูุฉ
- ุงูู
ุฑุงูุจุฉ: ุฑุงูุจ ุงูุดู
ูุน ุงูุชุงููุฉ ุจุญุซูุง ุนู ุดู
ุนุฉ ุฏุงูุนุฉ
- ุงูุงูุชูุงุก: ูุง ุชุฏุฎู ูู ุฅุดุงุฑุฉ โ ุงุฎุชุฑ ุชูู ุงูุชู ุชุชูุงูู ู
ุน ุงูุงุชุฌุงู ุงูุนุงู
โ ุงุณุชุฑุงุชูุฌูุงุช ุงูุชุฏุงูู
๐ ุงุณุชุฑุงุชูุฌูุฉ 1: ุชุฏุงูู ุงูุชูุฑูุบ (ุงูุฃุณุงุณูุฉ)
ุงูู
ุจุฏุฃ: ุงูุฏุฎูู ุนูุฏ "DISCHARGE IMMINENT" ูู ุงุชุฌุงู ุงูุฌูุฏ
ุงูุฎุทูุงุช:
1. ุงูุชุธุฑ ุธููุฑ "โก DISCHARGE IMMINENT"
2. ุชุญูู ู
ู ุงุชุฌุงู ุงูุฌูุฏ (+/โ)
3. ุงูุชุธุฑ ุดู
ุนุฉ ุชุฃููุฏูุฉ ูู ุงุชุฌุงู ุงูุฌูุฏ
4. ุงุฏุฎู ู
ุน ุงูุชุชุงุญ ุงูุดู
ุนุฉ ุงูุชุงููุฉ
5. ููู ุงูุฎุณุงุฑุฉ ูุฑุงุก ุขุฎุฑ ูุงุน/ูู
ุฉ
6. ุงููุฏู: ูุณุจุฉ 1:2 ุฃู 1:3
ูุณุจุฉ ูุฌุงุญ ุนุงููุฉ ุฌุฏููุง ุนูุฏ ุงูุงูุชุฒุงู
ุจุดุฑูุท ุงูุชุฃููุฏ.
๐ ุงุณุชุฑุงุชูุฌูุฉ 2: ุชุชุจุน ุงูููู
ูุฉ
ุงูู
ุจุฏุฃ: ุงูุชุฏุงูู ู
ุน ุงููุทุจ ุงูู
ููู
ู (ุงููุฑุฉ ุงูุฃูุจุฑ ูุงูุฃูุซุฑ ุฅุถุงุกุฉ)
ุงูุฎุทูุงุช:
1. ุญุฏุฏ ุงููุทุจ ุงูู
ููู
ู (ุงูุฃูุจุฑ ุญุฌู
ุงู ูุงูุฃูุซุฑ ุฅุถุงุกุฉ)
2. ุชุฏุงูู ูู ุงุชุฌุงูู
3. ุงุญุฐุฑ ุนูุฏ ุชูุงุฑุจ ุงูุฃุญุฌุงู
(ุตุฑุงุน)
ู
ูุงุณุจุฉ ููุฅุทุงุฑุงุช ุงูุฒู
ููุฉ ุงูุฃุนูู (H1+).
๐ ุงุณุชุฑุงุชูุฌูุฉ 3: ุตูุฏ ุงูุงูุนูุงุณ
ุงูู
ุจุฏุฃ: ุงูุฏุฎูู ุนูุณ ุงูุงุชุฌุงู ุนูุฏ ุธุฑูู ู
ุนููุฉ
ุงูุดุฑูุท:
- ุดุฏุฉ ุญูู ุนุงููุฉ (>30%)
- ุฌูุฏ ู
ุชุทุฑู (>ยฑ40%)
- ุชุจุงุนุฏ ู
ุน ุงูุณุนุฑ (ู
ุซู: ูู
ุฉ ุณุนุฑูุฉ ุฌุฏูุฏุฉ ู
ุน ุชุฑุงุฌุน ุงูุฌูุฏ)
โ ๏ธ ุนุงููุฉ ุงูู
ุฎุงุทุฑุฉ โ ุงุณุชุฎุฏู
ุญุฌู
ู
ุฑูุฒ ุตุบูุฑ.
๐ ุงุณุชุฑุงุชูุฌูุฉ 4: ุงูุฏู
ุฌ ู
ุน ุงูุชุญููู ุงูููู
ุฃู
ุซูุฉ ุชุฃููุฏ ููู:
- ุงุฎุชุฑุงู ู
ูุงูู
ุฉ + ุชูุฑูุบ ุตุนูุฏู = ุฅุดุงุฑุฉ ุดุฑุงุก ู
ู
ุชุงุฒุฉ
- ูุณุฑ ุฏุนู
+ ุชูุฑูุบ ูุจูุทู = ุฅุดุงุฑุฉ ุจูุน ู
ู
ุชุงุฒุฉ
- ูู
ูุฐุฌ Head & Shoulders + ุฌูุฏ ุณุงูุจ ู
ุชุฒุงูุฏ = ุชุฃููุฏ ุงููู
ูุฐุฌ
- ุชุจุงุนุฏ RSI + ุดุฏุฉ ุญูู ุนุงููุฉ = ุงูุนูุงุณ ู
ุญุชู
ู
โ ุงูุชูุจููุงุช ุงูุฌุงูุฒุฉ
Bullish Discharge
- ุงูุดุฑุท: discharge_prob โฅ 0.9 + ุฌูุฏ ู
ูุฌุจ + ุฌู
ูุน ุงูููุงุชุฑ
- ุงูุฑุณุงูุฉ: "โก Bullish discharge"
- ุงูุงุณุชุฎุฏุงู
: ูุฑุตุฉ ุดุฑุงุก ุนุงููุฉ ุงูุงุญุชู
ุงููุฉ
Bearish Discharge
- ุงูุดุฑุท: discharge_prob โฅ 0.9 + ุฌูุฏ ุณุงูุจ + ุฌู
ูุน ุงูููุงุชุฑ
- ุงูุฑุณุงูุฉ: "โก Bearish discharge"
- ุงูุงุณุชุฎุฏุงู
: ูุฑุตุฉ ุจูุน ุนุงููุฉ ุงูุงุญุชู
ุงููุฉ
โ
ูุตูุญุฉ: ุงุณุชุฎุฏู
ูุฐู ุงูุชูุจููุงุช ู
ุน ุฅุนุฏุงุฏ "Once Per Bar" ูุชุฌูุจ ุงูุชูุฑุงุฑ.
โ ุงูู
ุฎุฑุฌุงุช ูู ูุงูุฐุฉ ุงูุจูุงูุงุช
Bias
- ุงูููู
: โ1 / 0 / +1
- ุงูุชูุณูุฑ: โ1 = ูุจูุทูุ 0 = ุญูุงุฏุ +1 = ุตุนูุฏู
- ุงูุงุณุชุฎุฏุงู
: ูุฏู
ุฌูุง ูู ุงุณุชุฑุงุชูุฌูุงุช ุขููุฉ
Discharge %
- ุงููุทุงู: 0โ100%
- ุงูุชูุณูุฑ: ุงุญุชู
ุงู ุงูุชูุฑูุบ
- ุงูุงุณุชุฎุฏุงู
: ู
ุฑุงูุจุฉ ุชุฏุฑูุฌ ุงูุชูุชุฑ (ู
ุซุงู: ู
ู 40% ุฅูู 85% ูู 5 ุดู
ูุน)
Field Strength
- ุงููุทุงู: 0โ100%
- ุงูุชูุณูุฑ: ุดุฏุฉ ุงูุตุฑุงุน
- ุงูุงุณุชุฎุฏุงู
: ุชุญุฏูุฏ "ูุงูุฐุฉ ุงููุฑุต" (25โ35% ู
ุซุงููุฉ ููุชูุฑูุบ)
Voltage
- ุงููุทุงู: โ100% ุฅูู +100%
- ุงูุชูุณูุฑ: ู
ูุฒุงู ุงูููู
- ุงูุงุณุชุฎุฏุงู
: ู
ุฑุงูุจุฉ ุงูุชุทุฑู (ุชุดุจุน ุดุฑุงุฆู/ุจูุนู ู
ุญุชู
ู)
โ ุงูุฅุนุฏุงุฏุงุช ุงูู
ุซูู ุญุณุจ ุฃุณููุจ ุงูุชุฏุงูู
ุงูู
ุถุงุฑุจุฉ (Scalping)
- ุงูุฅุทุงุฑ: 1Mโ5M
- Lookback: 10โ15
- Threshold: 0.5โ0.6
- Sensitivity: 1.2โ1.5
- ุงูููุงุชุฑ: Volume + Volatility
ุงูุชุฏุงูู ุงูููู
ู (Day Trading)
- ุงูุฅุทุงุฑ: 15Mโ1H
- Lookback: 20
- Threshold: 0.7
- Sensitivity: 1.0
- ุงูููุงุชุฑ: Volume + Volatility
ุงูุณูููุบ (Swing Trading)
- ุงูุฅุทุงุฑ: 4HโD1
- Lookback: 30โ50
- Threshold: 0.8
- Sensitivity: 0.8
- ุงูููุงุชุฑ: Volatility + Trend
ุงูุงุณุชุซู
ุงุฑ (Position Trading)
- ุงูุฅุทุงุฑ: D1โW1
- Lookback: 50โ100
- Threshold: 0.85โ0.95
- Sensitivity: 0.5โ0.8
- ุงูููุงุชุฑ: ุฌู
ูุน ุงูููุงุชุฑ
โ ูุตุงุฆุญ ููุงุณุชุฎุฏุงู
ุงูุฃู
ุซู
1. ุงุจุฏุฃ ุจุงูุฅุนุฏุงุฏุงุช ุงูุงูุชุฑุงุถูุฉ
ุฌุฑูุจู ุฃูููุง ูู
ุง ููุ ุซู
ุนุฏูู ุญุณุจ ุฃุณููุจู.
2. ุฑุงูุจ ุงูุชูุงูู ุจูู ุงูุนูุงุตุฑ
ุฃูุถู ุงูุฅุดุงุฑุงุช ุนูุฏู
ุง:
- ุงูุฌูุฏ ูุงุถุญ (>โ20%โ)
- ุดุฏุฉ ุงูุญูู ู
ุนุชุฏูุฉโุนุงููุฉ (15โ35%)
- ุงุญุชู
ุงู ุงูุชูุฑูุบ ู
ุฑุชูุน (>70%)
3. ุงุณุชุฎุฏู
ุฃุทุฑ ุฒู
ููุฉ ู
ุชุนุฏุฏุฉ
- ุงูุฅุทุงุฑ ุงูุฃุนูู: ุชุญุฏูุฏ ุงูุงุชุฌุงู ุงูุนุงู
- ุงูุฅุทุงุฑ ุงูุฃุฏูู: ุชูููุช ุงูุฏุฎูู
- ุชุฃูุฏ ู
ู ุชูุงูู ุงูุฅุดุงุฑุงุช ุจูู ุงูุฃุทุฑ
4. ุฏู
ุฌ ู
ุน ุฃุฏูุงุช ุฃุฎุฑู
- ู
ุณุชููุงุช ุงูุฏุนู
/ุงูู
ูุงูู
ุฉ
- ุฎุทูุท ุงูุงุชุฌุงู
- ุฃูู
ุงุท ุงูุดู
ูุน
- ู
ุคุดุฑุงุช ุงูุญุฌู
5. ุงุญุชุฑู
ุฅุฏุงุฑุฉ ุงูู
ุฎุงุทุฑุฉ
- ูุง ุชุฎุงุทุฑ ุจุฃูุซุฑ ู
ู 1โ2% ู
ู ุงูุญุณุงุจ
- ุงุณุชุฎุฏู
ุฏุงุฆู
ูุง ููู ุงูุฎุณุงุฑุฉ
- ูุง ุชุฏุฎู ูู ุงูุฅุดุงุฑุงุช โ ุงุฎุชุฑ ุงูุฃูุถู
โ ุชุญุฐูุฑุงุช ู
ูู
ุฉ
โ ๏ธ ููุณ ููุงุณุชุฎุฏุงู
ุงูู
ููุฑุฏ
ุงูู
ุคุดุฑ ุฃุฏุงุฉ ุชุญููู ู
ุณุงุนูุฏุฉ โ ูุง ุชุณุชุฎุฏู
ู ุจู
ุนุฒู ุนู ุงูุชุญููู ุงูููู ุฃู ุงูุฃุณุงุณู.
โ ๏ธ ูุง ูุชูุจุฃ ุจุงูู
ุณุชูุจู
ุงูุญุณุงุจุงุช ู
ุจููุฉ ุนูู ุงูุจูุงูุงุช ุงูุชุงุฑูุฎูุฉ โ ุงููุชุงุฆุฌ ููุณุช ู
ุถู
ููุฉ.
โ ๏ธ ุงูุฃุณูุงู ุชุฎุชูู
ูุฏ ุชุญุชุงุฌ ูุถุจุท ุงูุฅุนุฏุงุฏุงุช ููู ุณูู:
- ุงูุนู
ูุงุช: ุชุฑููุฒ ุนูู Volume Filter
- ุงูุฃุณูู
: ุฃุถู Trend Filter
- ุงููุฑูุจุชู: ุฎููุถ Threshold ูููููุง (ุฃูุซุฑ ุชูููุจูุง)
โ ๏ธ ุงูุฃุฎุจุงุฑ ูุงูุฃุญุฏุงุซ
ุงูู
ุคุดุฑ ูุง ูุฃุฎุฐ ูู ุงูุงุนุชุจุงุฑ ุงูุฃุฎุจุงุฑ ุงูู
ูุงุฌุฆุฉ โ ุชุฌููุจ ุงูุชุฏุงูู ูุจู/ุฃุซูุงุก ุงูุฃุฎุจุงุฑ ุงูุฑุฆูุณูุฉ.
โ ุงูู
ูุฒุงุช ุงููุฑูุฏุฉ
โ
ุฃูู ุชุทุจูู ููููุฑูู
ุบูุงุทูุณูุฉ ุนูู ุงูุฃุณูุงู
ูู
ูุฐุฌ ุฑูุงุถู ู
ุจุชูุฑ โ ููุณ ู
ุฌุฑุฏ ู
ุคุดุฑ ุนุงุฏู
โ
ูุดู ุงุณุชุจุงูู ููุงููุฌุงุฑุงุช ุงูุณุนุฑูุฉ
ูููุจูู ูุจู ุญุฏูุซ ุงูุญุฑูุฉ โ ูููุณ ุจุนุฏูุง
โ
ุชุตููุฉ ู
ุชุนุฏุฏุฉ ุงูุทุจูุงุช
4 ููุงุชุฑ ุฐููุฉ ุชููู ุงูุฅุดุงุฑุงุช ุงููุงุฐุจุฉ ุฅูู ุงูุญุฏ ุงูุฃุฏูู
โ
ุชููู ุฐูู ู
ุน ุงูุชููุจ
ูุถุจุท ุญุณุงุณูุชู ุชููุงุฆูููุง ุญุณุจ ุธุฑูู ุงูุณูู
โ
ุชู
ุซูู ุจุตุฑู ุซูุงุซู ุงูุฃุจุนุงุฏ ู
ุชุญุฑู
ูุฌุนู ุงููุฑุงุกุฉ ููุฑูุฉ โ ุญุชู ููู
ุจุชุฏุฆูู
โ
ู
ุฑููุฉ ุนุงููุฉ
ูุนู
ู ุนูู ุฌู
ูุน ุงูุฃุตูู: ุฃุณูู
ุ ุนู
ูุงุชุ ูุฑูุจุชูุ ุณูุน
โ
ุชูุจููุงุช ู
ุฏู
ุฌุฉ ุฌุงูุฒุฉ
ูุง ุญุงุฌุฉ ูุฅุนุฏุงุฏุงุช ู
ุนูุฏุฉ โ ุฌุงูุฒ ููุงุณุชุฎุฏุงู
ุงูููุฑู
โ ุฎุงุชู
ุฉ: ุนูุฏู
ุง ููุชูู ุงููู ุจุงูุนูู
Market Electromagnetic Field ููุณ ู
ุฌุฑุฏ ู
ุคุดุฑ โ ุจู ููุณูุฉ ุชุญููููุฉ ุฌุฏูุฏุฉ.
ูู ุงูุฌุณุฑ ุจูู:
- ุฏูุฉ ุงูููุฒูุงุก ูู ูุตู ุงูุฃูุธู
ุฉ ุงูุฏููุงู
ูููุฉ
- ุฐูุงุก ุงูุณูู ูู ุชูููุฏ ูุฑุต ุงูุชุฏุงูู
- ุนูู
ุงูููุณ ุงูุจุตุฑู ูู ุชุณููู ุงููุฑุงุกุฉ ุงูููุฑูุฉ
ุงููุชูุฌุฉ: ุฃุฏุงุฉ ูุง ุชููุฑุฃ โ ุจู ุชูุดุงูุฏุ ุชูุดุนุฑุ ูุชูุณุชุดุนุฑ.
ุนูุฏู
ุง ุชุฑู ุงููุฑุฉ ุงูุฎุถุฑุงุก ุชุชูุณุนุ ูุงูุชููุฌ ูุตูุฑูุ ูุงูุฌุฒูุฆุงุช ุชูุฏูุน ูููู
ูู โ ูุฃูุช ูุง ุชุฑู ุฃุฑูุงู
ูุงุ ุจู ุชุฑู ุทุงูุฉ ุงูุณูู ุชุชูููุณ.
โ ๏ธ ุฅุฎูุงุก ู
ุณุคูููุฉ:
ูุฐุง ุงูู
ุคุดุฑ ูุฃุบุฑุงุถ ุชุนููู
ูุฉ ูุชุญููููุฉ ููุท. ูุง ููู
ุซู ูุตูุญุฉ ู
ุงููุฉ ุฃู ุงุณุชุซู
ุงุฑูุฉ ุฃู ุชุฏุงูููุฉ. ุงุณุชุฎุฏู
ู ุจุงูุชุฒุงู
ู ู
ุน ุงุณุชุฑุงุชูุฌูุชู ุงูุฎุงุตุฉ ูุฅุฏุงุฑุฉ ุงูู
ุฎุงุทุฑ. ูุง ูุชุญู
ู TradingView ููุง ุงูู
ุทูุฑ ู
ุณุคูููุฉ ุฃู ูุฑุงุฑุงุช ู
ุงููุฉ ุฃู ุฎุณุงุฆุฑ.
High Volume Bars (Advanced)High Volume Bars (Advanced)
High Volume Bars (Advanced) is a Pine Script v6 indicator for TradingView that highlights bars with unusually high volume, with several ways to define โunusualโ:
Classic: volume > moving average + N ร standard deviation
Change-based: large change in volume vs previous bar
Z-score: statistically extreme volume values
Robust mode (optional): median + MAD, less sensitive to outliers
It can:
Recolor candles when volume is high
Optionally highlight the background
Optionally plot volume bands (center ยฑ spread ร multiplier)
โธป
1. How it works
At each bar the script:
Picks the volume source:
If Use Volume Change vs Previous Bar? is off โ uses raw volume
If on โ uses abs(volume - volume )
Computes baseline statistics over the chosen source:
Lookback bars
Moving average (SMA or EMA)
Standard deviation
Optionally replaces mean/std with robust stats:
Center = median (50th percentile)
Spread = MAD (median absolute deviation, scaled to approx ฯ)
Builds bands:
upper = center + spread * multiplier
lower = max(center - spread * multiplier, 0)
Flags a bar as โhigh volumeโ if:
It passes the mode logic:
Classic abs: volume > upper
Change mode: abs(volume - volume ) > upper
Z-score mode: z-score โฅ multiplier
AND the relative filter (optional): volume > average_volume * Min Volume vs Avg
AND it is past the first Skip First N Bars from the start of the chart
Colors the bar and (optionally) the background accordingly.
โธป
2. Inputs
2.1. Statistics
Lookback (len)
Number of bars used to compute the baseline stats (mean / median, std / MAD).
Typical values: 50โ200.
StdDev / Z-Score Multiplier (mult)
How far from the baseline a bar must be to count as โhigh volumeโ.
In classic mode: volume > mean + mult ร std
In z-score mode: z โฅ mult
Typical values: 1.0โ2.5.
Use EMA Instead of SMA? (smooth_with_ema)
Off โ uses SMA (slower but smoother).
On โ uses EMA (reacts faster to recent changes).
Use Robust Stats (Median & MAD)? (use_robust)
Off โ mean + standard deviation
On โ median + MAD (less sensitive to a few insane spikes)
Useful for assets with occasional volume blow-ups.
โธป
2.2. Detection Mode
These inputs control how โunusualโ is defined.
โข Use Volume Change vs Previous Bar? (mode_change)
โข Off (default) โ uses absolute volume.
โข On โ uses abs(volume - volume ).
You then detect jumps in volume rather than absolute size.
Note: This is ignored if Z-Score mode is switched on (see below).
โข Use Z-Score on Volume? (Overrides change) (mode_zscore)
โข Off โ high volume when raw value exceeds the upper band.
โข On โ computes z-score = (value โ center) / spread and flags a bar as high when z โฅ multiplier.
Z-score mode can be combined with robust stats for more stable thresholds.
โข Min Volume vs Avg (Filter) (min_rel_mult)
An extra filter to ignore tiny-volume bars that are statistically โweirdโ but not meaningful.
โข 0.0 โ no filter (all stats-based candidates allowed).
โข 1.0 โ high-volume bar must also be at least equal to average volume.
โข 1.5 โ bar must be โฅ 1.5 ร average volume.
โข Skip First N Bars (from start of chart) (skip_open_bars)
Skips the first N bars of the chart when evaluating high-volume conditions.
This is mostly a safety / cosmetic option to avoid weird behavior on very early bars or backfill.
โธป
2.3. Visuals
โข Show Volume Bands? (show_bands)
โข If on, plots:
โข Upper band (upper)
โข Lower band (lower)
โข Center line (vol_center)
These are plotted on the same pane as the script (usually the price chart).
โข Also Highlight Background? (use_bg)
โข If on, fills the background on high-volume bars with High-Vol Background.
โข High-Vol Bar Transparency (0โ100) (bar_transp)
Controls the opacity of the high-volume bar colors (up / down).
โข 0 โ fully opaque
โข 100 โ fully transparent (no visible effect)
โข Up Color (upColor) / Down Color (dnColor)
โข Regular bar colors (non high-volume) for up and down bars.
โข Up High-Vol Base Color (upHighVolBase) / Down High-Vol Base Color (dnHighVolBase)
Base colors used for high-volume up/down bars. Transparency is applied on top of these via bar_transp.
โข High-Vol Background (bgHighVolColor)
Background color used when Also Highlight Background? is enabled.
โธป
3. What gets colored and how
โข Bar color (barcolor)
โข Up bar:
โข High volume โ Up High-Vol Color
โข Normal volume โ Up Color
โข Down bar:
โข High volume โ Down High-Vol Color
โข Normal volume โ Down Color
โข Flat bar โ neutral gray
โข Background color (bgcolor)
โข If Also Highlight Background? is on, high-volume bars get High-Vol Background.
โข Otherwise, background is unchanged.
โธป
4. Alerts
The indicator exposes three alert conditions:
โข High Volume Bar
Triggers whenever is_high is true (up or down).
โข High Volume Up Bar
Triggers only when is_high is true and the bar closed up (close > open).
โข High Volume Down Bar
Triggers only when is_high is true and the bar closed down (close < open).
You can use these in TradingViewโs โCreate Alertโ dialog to:
โข Get notified of potential breakout / exhaustion bars.
โข Trigger webhook events for bots / custom infra.
โธป
5. Recommended presets
5.1. โClassicโ high-volume detector (closest to original)
โข Lookback: 150โ200
โข StdDev / Z-Score Multiplier: 1.0โ1.5
โข Use EMA Instead of SMA?: off
โข Use Robust Stats?: off
โข Use Volume Change vs Previous Bar?: off
โข Use Z-Score on Volume?: off
โข Min Volume vs Avg (Filter): 0.0โ1.0
Behavior: Flags bars whose volume is notably above the recent average (plus a bit of noise filtering), same spirit as your initial implementation.
โธป
5.2. Volatility-aware (Z-score) mode
โข Lookback: 100โ200
โข StdDev / Z-Score Multiplier: 1.5โ2.0
โข Use EMA Instead of SMA?: on
โข Use Robust Stats?: on (if asset has huge spikes)
โข Use Volume Change vs Previous Bar?: off (ignored anyway in z-score mode)
โข Use Z-Score on Volume?: on
โข Min Volume vs Avg (Filter): 0.5โ1.0
Behavior: Flags bars that are โstatistically extremeโ relative to recent volume behavior, not just absolutely large. Good for assets where baseline volume drifts over time.
โธป
5.3. โWake-up barโ (volume acceleration)
โข Lookback: 50โ100
โข StdDev / Z-Score Multiplier: 1.0โ1.5
โข Use EMA Instead of SMA?: on
โข Use Robust Stats?: optional
โข Use Volume Change vs Previous Bar?: on
โข Use Z-Score on Volume?: off
โข Min Volume vs Avg (Filter): 0.5โ1.0
Behavior: Emphasis on sudden increases in volume rather than absolute size โ useful to catch โfirst active barโ after a quiet period.
โธป
6. Limitations / notes
โข Time-of-day effects
The script currently treats the entire chart as one continuous โsessionโ. On 24/7 markets (crypto) this is fine. For regular-session assets (equities, futures), volume naturally spikes at open/close; you may want to:
โข Use a shorter Lookback, or
โข Add a session-aware filter in a future iteration.
โข Illiquid symbols
On very low-liquidity symbols, robust stats (Use Robust Stats) and a non-zero Min Volume vs Avg can help avoid โeverything looks extremeโ problems.
โข Overlay behavior
overlay = true means:
โข Bars are recolored on the price pane.
โข Volume bands are also drawn on the price pane if enabled.
If you want a dedicated panel for the bands, duplicate the logic in a separate script with overlay = false.
90D High % Pullback Lines (Hybrid 10 Lines)90D High % Pullback Lines (Hybrid 10 Lines) visualizes drawdown levels from the 90-day high, with up to 10 fully customizable percentage-based lines.
This tool makes it easy to identify pullbacks, dip-buy zones, trend continuation points, and discount regions in any market.
๐ Features
โ
Up to 10 customizable pullback levels
Each line has its own % drop setting
Turn any line ON/OFF individually
Example presets: โ10%, โ20%, โ30%, โฆ โ95%
โ
Two rendering modes
1. Hybrid Fixed Line Mode (Stable / Anti-Shift)
Prevents line drift caused by chart updates
Keeps horizontal levels synchronized on every bar
Best stability for intraday & real-time use
2. Lightweight plot (stepline) Mode
Ideal for backtesting
Fully compatible with alerts
Clean and fast rendering
โ
Supports daily-based 90-day high
Even on lower timeframes, the indicator can use the daily 90-day high
Ideal for MTF (multi-timeframe) analysis
๐ฏ Use Cases
Instantly see how far price has pulled back (%) from the 90-day high
Build systematic dip-buy / trend-follow setups
Identify discount zones during volatility
Monitor recovery signals after strong sell-offs
Works great for crypto, FX, indices, and stocks
๐จ Alerts Included
Alerts trigger when closing price crosses any selected pullback line
Useful for automated dip-buy alerts, breakout alerts, etc.
๐ Notes
Due to internal TradingView behavior, public indicators may behave slightly differently from real-time script editing mode.
The Hybrid Line Mode is designed to provide the most stable and drift-free line display.
Global M2 Money Supply Growth (GDP-Weighted)๐ Global M2 Money Supply Growth (GDP-Weighted)
This indicator tracks the weighted aggregate M2 money supply growth across the world's four largest economies: United States, China, Eurozone, and Japan. These economies represent approximately 69.3 trillion USD in combined GDP and account for the majority of global liquidity, making this a comprehensive macro indicator for analyzing worldwide monetary conditions.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ง KEY FEATURES:
๐ GDP-Weighted Aggregation
Each economy is weighted proportionally by its nominal GDP using 2025 IMF World Economic Outlook data:
โข United States: 44.2% (30.62 trillion USD)
โข China: 28.0% (19.40 trillion USD)
โข Eurozone: 21.6% (15.0 trillion USD)
โข Japan: 6.2% (4.28 trillion USD)
The weights are fully adjustable through the indicator settings, allowing you to update them annually as new IMF forecasts are released (typically April and October).
โฑ๏ธ Multiple Time Period Options
Choose between three calculation methods to analyze different timeframes:
โข YoY (Year-over-Year): 12-month growth rate for identifying long-term liquidity trends and cycles
โข MoM (Month-over-Month): 1-month growth rate for detecting short-term monetary policy shifts
โข QoQ (Quarter-over-Quarter): 3-month growth rate for medium-term trend analysis
๐ Advanced Offset Function
Shift the entire indicator forward by 0-365 days to test lead/lag relationships between global liquidity and asset prices. Research suggests a 56-70 day lag between M2 changes and Bitcoin price movements, but you can experiment with different offsets for various assets (equities, gold, commodities, etc.).
๐ Individual Country Breakdown
Real-time display of each economy's M2 growth rate with:
โข Current percentage change (YoY/MoM/QoQ)
โข GDP weight contribution
โข Color-coded values (green = monetary expansion, red = contraction)
๐ Smart Overlay Capability
Displays directly on your main price chart with an independent left-side scale, allowing you to visually correlate global liquidity trends with any asset's price action without cluttering the chart.
๐ง Customizable GDP Weights
All GDP values can be adjusted through the indicator settings without editing code, making annual updates simple and accessible for all users.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ก DATA SOURCES:
All M2 money supply data is sourced from ECONOMICS (Trading Economics) for consistency and reliability:
โข ECONOMICS:USM2 (United States)
โข ECONOMICS:CNM2 (China)
โข ECONOMICS:EUM2 (Eurozone)
โข ECONOMICS:JPM2 (Japan)
All values are normalized to USD using current daily exchange rates (USDCNY, EURUSD, USDJPY) before GDP-weighted aggregation, ensuring accurate cross-country comparisons.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ก USE CASES & APPLICATIONS:
๐น Liquidity Cycle Analysis
Track global monetary expansion/contraction cycles to identify when central banks are coordinating loose or tight monetary policies.
๐น Market Timing & Risk Assessment
High M2 growth (>10%) historically correlates with risk-on environments and rising asset prices across crypto, equities, and commodities. Negative M2 growth signals monetary tightening and potential market corrections.
๐น Bitcoin & Crypto Correlation
Compare with Bitcoin price using the offset feature to identify the optimal lag period. Many traders use 60-70 day offsets to predict crypto market movements based on liquidity changes.
๐น Macro Portfolio Allocation
Use as a regime filter to adjust portfolio exposure: increase risk assets during liquidity expansion, reduce during contraction.
๐น Central Bank Policy Divergence
Monitor individual country metrics to identify when major central banks are pursuing divergent policies (e.g., Fed tightening while China eases).
๐น Inflation & Economic Forecasting
Rapid M2 growth often leads inflation by 12-18 months, making this a leading indicator for future inflation trends.
๐น Recession Early Warning
Negative M2 growth is extremely rare and has preceded major recessions, making this a valuable risk management tool.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ INTERPRETATION GUIDE:
๐ข +10% or Higher
Aggressive monetary expansion, typically during crises (2001, 2008, 2020). The COVID-19 period saw M2 growth reach 20-27%, which preceded significant inflation and asset price surges. Strong bullish signal for risk assets.
๐ข +6% to +10%
Above-average liquidity growth. Central banks are providing stimulus beyond normal levels. Generally favorable for equities, crypto, and commodities.
๐ก +3% to +6%
Normal/healthy growth rate, roughly in line with GDP growth plus 2% inflation targets. Neutral environment with moderate support for risk assets.
๐ 0% to +3%
Slowing liquidity, potential tightening phase beginning. Central banks may be raising rates or reducing balance sheets. Caution warranted for high-beta assets.
๐ด Negative Growth
Monetary contraction - extremely rare. Only occurred during aggressive Fed tightening in 2022-2023. Strong warning signal for risk assets, often precedes recessions or major market corrections.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ฏ OPTIMAL USAGE:
๐
Recommended Timeframes:
โข Daily or Weekly charts for macro analysis
โข Monthly charts for very long-term trends
๐น Compatible Asset Classes:
โข Cryptocurrencies (especially Bitcoin, Ethereum)
โข Equity indices (S&P 500, NASDAQ, global markets)
โข Commodities (Gold, Silver, Oil)
โข Forex majors (DXY correlation analysis)
โ๏ธ Suggested Settings:
โข Default: YoY calculation with 0 offset for current liquidity conditions
โข Bitcoin traders: YoY with 60-70 day offset for predictive analysis
โข Short-term traders: MoM with 0 offset for recent policy changes
โข Quarterly rebalancers: QoQ with 0 offset for medium-term trends
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ VISUAL DISPLAY:
The indicator plots a blue line showing the selected growth metric (YoY/MoM/QoQ), with a dashed reference line at 0% to clearly identify expansion vs. contraction regimes.
A comprehensive table in the top-right corner displays:
โข Current global M2 growth rate (large, prominent display)
โข Individual country breakdowns with their GDP weights
โข Color-coded growth rates (green for positive, red for negative)
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ MAINTENANCE & UPDATES:
GDP weights should be updated annually (ideally in April or October) when the IMF releases new World Economic Outlook forecasts. Simply adjust the four GDP input parameters in the indicator settings - no code editing required.
The relative GDP proportions between the Big 4 economies change very gradually (typically <1-2% per year), so even if you update weights once every 1-2 years, the impact on the indicator's accuracy is minimal.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ญ TRADING PHILOSOPHY:
This indicator embodies the principle that "liquidity drives markets." By tracking the combined M2 money supply of the world's largest economies, weighted by their economic size, you gain insight into the fundamental liquidity conditions that underpin all asset prices.
Unlike single-country M2 indicators, this GDP-weighted approach captures the true global picture, accounting for the fact that US monetary policy has 2x the impact of Japanese policy due to economic size differences.
Perfect for macro-focused traders, long-term investors, and anyone seeking to understand the "tide that lifts all boats" in financial markets.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
Created for traders and investors who incorporate global liquidity trends into their decision-making process. Best used alongside other technical and fundamental analysis tools for comprehensive market assessment.
โ ๏ธ Disclaimer: M2 money supply is a lagging macroeconomic indicator. Past correlations do not guarantee future results. Always use proper risk management and combine with other analysis methods.
Aggregated Open InterestAggregates Open Interest data across 10 major crypto exchanges: Binance, Bybit, Kraken, MEXC, Bitget, BingX, Coinbase, Deribit, HTX, and Crypto.com.
Displays total market OI with candlesticks on intraday timeframes and a step line on daily+ timeframes. Color-coded: teal for increasing OI, red for decreasing OI.
Toggle individual exchanges on/off in settings to customize your view.
With this indicator there is no need to be on the perpetual chart of the asset for the open interest to be displayed.
BTC EMA 5-9 Flip Strategy AutobotThis strategy is designed for fast and accurate trend-following trades on Bitcoin.
It uses a crossover between EMA 5 and EMA 9 to detect instant trend reversals and automatically flips between Long and Short positions.
How the strategy works
EMA 5 crossing above EMA 9 โ Long
EMA 5 crossing below EMA 9 โ Short
Automatically closes the opposite trade during a flip
Executes trades only on candle close
Prevents double entries with internal position-state logic
Fully compatible with automated trading via webhooks (Delta Exchange)
Why this strategy works
EMA 5โ9 is extremely responsive for BTCโs volatility
Captures trend reversals early
Works best on 15-minute timeframe
Clean, simple logic without over-filtering reduces missed opportunities
Performs well in both uptrends and downtrends
Automation Ready
This strategy includes alert conditions and webhook-ready JSON for automated execution.
This is a fast-reacting BTC bot designed for intraday and swing crypto trend trading.
MOMO โ Imbalance Trend (SIMPLE BUY/SELL)MOMO โ Imbalance Trend (SIMPLE BUY/SELL)
This strategy combines trend breaks, imbalance detection, and first-tap supply/demand entries to create a clean and disciplined trading model.
It automatically highlights imbalance candles, draws fresh zones, and waits for the first retest to deliver precise BUY and SELL signals.
Performance
On optimized settings, this strategy shows an estimated 57%โ70% win-rate, depending on the asset and timeframe.
Actual performance may vary, but the model is built for consistency, discipline, and improved decision-making.
How it works
Detects trend structure shifts (BOS / Break of Trend)
Identifies displacement (imbalance) candles
Creates supply and demand zones from imbalance origin
Waits for first tap only (no second chances)
Confirms direction using trend logic
Generates clean BUY/SELL arrows
Automatic SL/TP based on user settings
Features
Clean BUY/SELL markers
Auto-drawn supply & demand zones
Trend break markers
Imbalance tags
Smart first-tap confirmation
Customizable stop loss & take profit
Works on crypto, gold, forex, indices
Best on M5โH1 for day trading
Note
This strategy is designed for day traders who want clarity, structure, and zero emotional trading.
Use it with discipline โ and it will serve you well.
Good luck, soldier.
macd sma20
### MACD_sma20 โ Multi-Timeframe MACD Pullback & SMA20 Dashboard
This script is a complete trading toolkit built around a **MACD pullback strategy** combined with **multi-timeframe SMA20 filters**, volume analysis, and a compact information panel.
It is designed for traders who like to:
* Trade **MACD pullbacks above the moving average**
* Track **key SMA20 levels across multiple timeframes** (Daily, 3-Day, Weekly, Monthly)
* Quickly see whether **current price is above or below those reference levels**
* Use **clean visual signals** for entries and exits, instead of staring at raw indicator values
---
### Core Features
#### 1. MACD Pullback Long Signal (Green Triangle Up)
The script detects a **bullish MACD pullback** pattern:
* MACD line is still **above** the signal line
* Both MACD line and histogram **pull back** for several bars
* Then MACD turns back up again, with price trading **above the local SMA20**
When this โpullback and re-accelerationโ is confirmed, a **green triangle below the bar** is plotted as a **long entry signal**.
There is also an optional filter:
* **Weekly SMA20 filter**:
If enabled, long signals are only triggered when **current price is above the Weekly SMA20**, helping you stay on the right side of the higher-timeframe trend.
---
#### 2. Bearish Pullback Confirmation Signal (Red Triangle Down)
On the short side, the script detects a **bearish pullback confirmation** based on:
* A recent **high-volume bearish candle** (large down bar with volume above a multiple of the 20-period volume average)
* At least a minimum number of **negative MACD histogram bars**
* MACD line moving closer to the signal line (loss of momentum)
* Price recovering back up near the **top of that high-volume bearish candle**, then starting to fall again while MACD stays positive
When all conditions align, the script prints a **red triangle above the bar**, indicating a **bearish pullback confirmation** โ often a good area to take profits on longs or consider short/hedge setups.
---
#### 3. Signal History Tracking
For both long and short signals, the script internally tracks the **most recent three signals**:
* Timestamp of the signal
* Price at the signal
* Short-term percentage change into the signal
This is mainly for internal use and future expansion, but already gives you a structured signal history if you want to extend or connect the logic later.
---
### Multi-Timeframe SMA20 Dashboard (Bottom-Right Panel)
One of the most useful parts of this script is the **compact dashboard table** in the **bottom-right corner** of the chart. It updates in real time and shows:
1. **Current Price**
2. **Daily SMA20** โ value + whether price is above/below
3. **3-Day SMA20** โ value + whether price is above/below
4. **Weekly SMA20** โ value + whether price is above/below
5. **Monthly SMA20** โ value + whether price is above/below
6. **RSI** (current timeframe)
For each timeframeโs SMA20:
* If **price โฅ SMA20**, the status cell is **green** with a โ
* If **price < SMA20**, the status cell is **red** with a โ
This gives you, at a glance:
* Is the market in a **short-term uptrend or downtrend** (Daily SMA20)?
* Is the **swing / position trend** healthy (3D & Weekly SMA20)?
* Is the broader **macro structure** supportive (Monthly SMA20)?
You donโt need to manually switch timeframes or add multiple moving averages โ the script does all of that for you automatically using `request.security`.
---
### Alerts
The script comes with two built-in alert conditions:
* **MACDๅ่ธฉ่ฝฌๅคไฟกๅท (MACD pullback bullish signal)**
* **็ฉบๅคดๅๆฝ็กฎ่ฎคไฟกๅท (Bearish pullback confirmation signal)**
You can attach TradingView alerts to these conditions to get notified whenever a new long or bearish-confirmation setup appears, even when youโre not watching the chart.
---
### How to Use It in Your Trading
1. **Choose your main trading timeframe**
* For intraday swing: 15m / 1h / 4h
* For swing / position: 4h / Daily
2. **Watch the bottom-right SMA20 panel**
* If most higher-timeframe SMA20 rows are **green**, you are trading **with the larger trend**.
* If they are **mixed or mostly red**, youโre either counter-trend or in a choppy transition zone.
3. **Use the green MACD pullback signals**
* Prefer long setups when:
* The **Weekly and Monthly SMA20 rows are green**, and
* The signal appears **above the Daily SMA20**
* This stacks multiple edges: trend + pullback + momentum re-acceleration.
4. **Use the red bearish confirmation signals for risk management**
* Take partial profits on longs when a red signal appears near resistance.
* Consider hedge/short opportunities if higher-timeframe SMA20 rows are already red or turning red.
5. **Use RSI as a context indicator**
* Combine with overbought/oversold zones or your own RSI thresholds for additional confirmation.
---
### Why This Script Is Useful
* **Trend awareness across timeframes**:
You always know where current price sits relative to the Daily / 3-Day / Weekly / Monthly SMA20 โ without switching charts.
* **Clear, rule-based signals**:
The MACD logic is explicit and systematic, focused on **pullbacks within trends** rather than random crossovers.
* **Volume-aware bearish logic**:
High-volume bearish candles often mark important supply zones. The script builds this idea directly into the short-side confirmation logic.
* **Visual and intuitive**:
Green/Red triangles + Green/Red table cells make it easy to interpret even if you are not a heavy indicator user.
* **Flexible**:
All key parameters (MACD lengths, SMA length, volume threshold, lookback period, RSI length, weekly filter) are customizable, so you can adapt it to different markets (crypto, stocks, FX) and timeframes.
---
In short, this script is a **multi-timeframe MACD pullback system with an integrated SMA20 dashboard**, suitable for swing traders and position traders who want a structured, visually clean way to align entries with trend and momentum while keeping an eye on higher-timeframe levels.
Multi-Confluence Signal System๐ OPTIMIZED MULTI-CONFLUENCE SIGNAL SYSTEM
A professional-grade trading indicator that combines multiple technical analysis methods to generate high-probability buy and sell signals. Designed for daily timeframe Bitcoin/crypto trading with optimized parameters based on real market backtesting.
๐ฏ KEY FEATURES:
- Multi-Confluence Scoring (8 components) - Each signal shows strength rating
- Smart Top & Bottom Detection - Catches reversals using price action patterns
- Ichimoku Cloud Integration - Dynamic support/resistance visualization
- Dual EMA System (20/50) - Clear trend identification
- RSI + MACD + Volume Confirmation - Multi-indicator validation
- Signal Alternation - Only shows directional changes (no repeated signals)
- Minimal Bar Spacing - Prevents signal clustering and overtrading
โ
OPTIMIZED FOR:
- Catching parabolic tops with rejection wicks
- Identifying capitulation bottoms in downtrends
- Avoiding false signals during consolidation
- 4-8 quality signals per 4-month period on daily charts
- Works in both trending and volatile markets
๐ง TECHNICAL COMPONENTS:
- EMA 20/50 trend system
- RSI (14) with adjusted overbought/oversold levels (68/32)
- MACD for momentum confirmation
- Ichimoku Cloud for trend context
- Volume analysis (1.3x threshold)
- Candlestick pattern recognition (engulfing, hammers, shooting stars)
- Capitulation detection for extreme moves
- Price extension filters (ยฑ5-10% from EMAs)
โ ๏ธ BEST PRACTICES:
- Optimized for Daily timeframe
- Combine with your own risk management
- Higher scores = higher probability trades
- Wait for signal confirmation on candle close
- Use in conjunction with key support/resistance levels
๐ก SIGNAL LOGIC:
BUY signals trigger on: Capitulation candles, extreme oversold + reversal patterns, MACD turnarounds in downtrends, or high confluence scores with bullish patterns
SELL signals trigger on: Rejection wicks at tops, bearish engulfings with overbought RSI, parabolic extensions, MACD reversals, or high confluence scores with bearish patterns
๐ Created through iterative backtesting and optimization on Bitcoin price action from 2024-2025.
โญ Free to use โข Leave feedback โข Happy trading!
