EMA Slope Angle V2 Auto Threshold# EMA Slope Angle Indicator
## Overview
The EMA Slope Angle Indicator visualizes the Exponential Moving Average (EMA) slope as an angle in degrees, providing traders with a clear, quantitative measure of trend strength and direction. The indicator features **automatic threshold calculation based on Gaussian distribution**, making it adaptive to any market and timeframe.
## Key Features
### 🎯 **Automatic Threshold Calculation (NEW!)**
- **Gaussian Distribution-Based**: Automatically calculates optimal thresholds from the 50% interquartile range (IQR) of historical angle data
- **Asset-Adaptive**: Thresholds adjust to each instrument's unique volatility and price characteristics
- **No Manual Tuning Required**: Simply enable "Use Auto Thresholds" and let the indicator optimize itself
### 📊 **Dynamic EMA Coloring**
- **Color Intensity**: EMA line color intensity reflects slope strength
- **Visual Feedback**:
- Green shades for uptrends (darker = stronger)
- Red shades for downtrends (darker = stronger)
- Gray for flat/neutral conditions
### 📈 **Regime Detection**
- **Three Regimes**: RISING, FALLING, and FLAT
- **Smart Classification**: Based on statistical distribution of angles
- **Non-Repainting**: All calculations use confirmed bars only
### 🔔 **Trend-Shift Signals**
- **Visual Arrows**: Automatic signals when transitioning from FLAT to RISING/FALLING
- **Configurable**: Enable/disable signals as needed
- **Reliable**: Only triggers on significant regime changes
### 📋 **KPI Dashboard**
- **Real-Time Metrics**: Current angle, regime, and last signal
- **Auto-Threshold Display**: Shows calculated thresholds when auto-mode is active
- **Statistics**: Optional angle distribution statistics
- **Clean Layout**: Top-right corner, non-intrusive
### 📊 **Angle Statistics (Optional)**
- **Distribution Analysis**: Histogram of angle ranges
- **Dynamic Buckets**: Automatically adjusts to data distribution when auto-mode is enabled
- **Percentage Breakdown**: See how often each angle range occurs
## Settings
### Main Settings
- **EMA Length**: Period for the Exponential Moving Average (default: 50)
- **Slope Lookback Bars**: Number of bars to calculate slope over (default: 5)
### Angle Settings
- **Use Auto Thresholds**: Enable automatic threshold calculation (recommended!)
- **Analysis Period**: Number of bars to analyze for distribution (default: 500)
- **Manual Thresholds**: Flat, Rising, and Falling triggers (used when auto-mode is off)
- **Max Angle for Color Saturation**: Maximum angle for color intensity scaling
### Display Options
- **Colors**: Customize uptrend, downtrend, and flat colors
- **Show Signals**: Enable/disable trend-shift arrows
- **Show Statistics**: Display angle distribution table
- **Show Dashboard**: Toggle KPI dashboard visibility
## How It Works
### Angle Calculation
The indicator calculates the angle between the current EMA value and the EMA value N bars ago:
```
Angle = arctan((EMA_now - EMA_then) / lookback) × 180° / π
```
### Auto-Threshold Calculation
When enabled, the indicator:
1. Analyzes historical angle data over the specified period
2. Calculates mean and standard deviation
3. Determines thresholds based on the 50% interquartile range (IQR):
- **Flat Threshold**: ±0.674σ (middle 50% of data)
- **Rising Trigger**: 75th percentile (mean + 0.674σ)
- **Falling Trigger**: 25th percentile (mean - 0.674σ)
### Regime Classification
- **FLAT**: Angle within ±Flat Threshold
- **RISING**: Angle ≥ Rising Trigger
- **FALLING**: Angle ≤ Falling Trigger
## Use Cases
### Trend Following
- Identify strong trends (high angle values)
- Spot trend reversals (regime changes)
- Filter trades based on trend strength
### Range Trading
- Detect flat/consolidation periods
- Avoid trading during choppy markets
- Enter when regime shifts from FLAT to RISING/FALLING
### Multi-Timeframe Analysis
- Apply to different timeframes for confirmation
- Use higher timeframe for trend direction
- Use lower timeframe for entry timing
## Tips for Best Results
1. **Enable Auto-Thresholds**: Let the indicator adapt to your instrument
2. **Adjust Analysis Period**: Use more bars for stable markets, fewer for volatile ones
3. **Combine with Price Action**: Use regime changes as confirmation, not standalone signals
4. **Multi-Timeframe**: Check higher timeframes for trend context
5. **Backtest First**: Test settings on historical data before live trading
## Technical Details
- **Non-Repainting**: All calculations use `barstate.isconfirmed`
- **Pine Script v6**: Latest version for optimal performance
- **Efficient**: Minimal computational overhead
- **Customizable**: Extensive settings for fine-tuning
## Version History
**v2.0** (Current)
- Added automatic threshold calculation based on Gaussian distribution
- Dynamic bucket adjustment for statistics
- Enhanced dashboard with auto-threshold display
- Improved regime detection using IQR method
**v1.0**
- Initial release with manual thresholds
- Basic EMA coloring
- Trend-shift signals
- KPI dashboard
## Support
For questions, suggestions, or bug reports, please leave a comment or contact the author.
---
**Disclaimer**: This indicator is for educational purposes only. Past performance does not guarantee future results. Always use proper risk management and never risk more than you can afford to lose.
**Keywords**: EMA, slope, angle, trend, automatic thresholds, Gaussian distribution, regime detection, non-repainting, adaptive
Chỉ báo và chiến lược
Multi-TF RSI+EMA+Clean S/R v6Visual Confirmation (What You'll See)
✅ EMAs: Blue (9) + Red (21) lines
✅ Pivot Points: Red circles (high) + Green circles (low)
✅ S/R Lines: Red resistance + Green support
✅ MTF Table: Top-right corner (RSI/ADX values)
✅ Signals: 🚀 STRONG BUY / 🔻 STRONG SELL labels
✅ Background: Green/Red tint during strong trends
Daily Open Shift The "Daily Open Shift" System (V2.0)
1. The Setup (Indicators & Timeframe)
• Timeframe: 15-Minute Chart (Execution).
• Key Levels: Daily Open (DO) or New York Open (NYO).
• Trend Indicators:
o 24 & 42 EMA Ribbon (Exponential Moving Averages).
o 30-Minute Supertrend.
________________________________________
2. Phase 1: Establish The Bias (The Filter)
This is the V2 upgrade. We do not trade against the day's opening momentum.
1. Mark the Open: Draw a horizontal line at the Daily Open (00:00) or Session Open.
2. The "First 2H" Rule: Observe the price action for the first 2 hours after the open.
o First 2H are Green/Bullish? → You are LONG BIAS only for the rest of the session. (Ignore all sell signals).
o First 2H are Red/Bearish? → You are SHORT BIAS only for the rest of the session. (Ignore all buy signals).
________________________________________
3. Phase 2: The Signal (The Switch)
Wait for the chart to confirm your bias technically.
1. The Switch: Price must cross and close a 15M candle on the correct side of the Daily Open.
o Longs: Price switches from below to above DO.
o Shorts: Price switches from above to below DO.
2. Indicator Confluence:
o EMAs: Must be crossed in your direction (Green for Long, Red for Short).
o 30M Supertrend: Must match your direction.
________________________________________
4. Phase 3: The Entry (The Trigger)
We never chase the breakdown. We wait for the price to come to us.
1. The Pullback: Wait for the price to retrace and touch/wick into the 24/42 EMA Ribbon.
2. The Confirmation: Watch the candle that touches the EMA.
o It must reject the EMA (wick off it) and close respecting the trend.
o Do not enter if the candle closes forcefully through the EMA, breaking structure.
3. Execution: Enter Market Order immediately on that candle close.
________________________________________
5. Phase 4: Risk Management (The Math)
This is the V2 upgrade. We aim for higher profitability.
1. Stop Loss (SL):
o Longs: Placed strictly below the lowest EMA band.
o Shorts: Placed strictly above the highest EMA band.
o Logic: If price crosses the EMA band completely, the trend is dead. Get out.
2. Take Profit (TP):
o FIXED 3R (Reward = 3x Risk).
o Example: If Risk is $100, TP is set to make $300.
o Rule: Do not move the TP. Do not close early. Let the math play out.
________________________________________
Summary Checklist (Print This)
Time: Is the First 2H bias clear? (Green=Buy / Red=Sell)
Switch: Did price close above/below the Daily Open?
Trend: Are EMAs crossed and Supertrend agreeing?
Patience: Did I wait for the price to pull back to the EMA band?
Trigger: Did the candle close respecting the EMA?
Execution: Market Entry + Stop Loss behind EMA + Fixed 3R Target.
Mindset: Am I at "2/10" emotion? Set the trade and walk away.
Box Indicator - Auto Draw Previous Day's - High / Midline / LowThis indicator draws a box around the previous day’s high and low, calculates the midline, and displays them on the current day’s chart. It helps visualize key support/resistance levels from the prior trading day.
This script gives you a static reference box from the prior day’s trading range, including a midpoint. It’s useful for spotting potential reversal zones, breakout levels, or intraday targets based on yesterday’s price action.
SHAP-Aligned BUY Signal (Daily, Edge-Triggered)Based on the XGBoost + SHAP interpretation report, I'll explain which indicators to monitor for buying NVO. However, I must emphasize that this model performed poorly (47.5% accuracy) and should NOT be used for actual trading! That said, here's what the model learned (for educational purposes):
📊 Top Indicators to Monitor for BUY Signals
1. Days_Since_Low (Most Important - 1.264)
Direction: BULLISH ↑
Interpretation: Higher values → UP prediction
What to monitor: Track how many days since the stock hit its recent low
Buy signal: When the stock has been recovering for an extended period (e.g., 100+ days from low)
Why it matters: The model learned that stocks in long-term recovery tend to continue rising
2. SMA_50 (50-day Moving Average) (0.413)
Direction: BULLISH ↑
Interpretation: Higher absolute SMA_50 values → UP prediction
What to monitor: The 50-day simple moving average price level
Buy signal: When SMA_50 is at higher levels (e.g., above $80-90)
Why it matters: Higher moving averages indicate stronger long-term trends
3. SMA_200 (200-day Moving Average) (0.274)
Direction: BULLISH ↑
Interpretation: Higher SMA_200 → UP prediction
What to monitor: The 200-day simple moving average
Buy signal: When SMA_200 is trending upward and at elevated levels
Why it matters: Long-term trend indicator; golden cross (SMA_50 > SMA_200) is traditionally bullish
4. BB_Width (Bollinger Band Width) (0.199)
Direction: BULLISH ↑
Interpretation: WIDER Bollinger Bands → UP prediction
What to monitor: The distance between upper and lower Bollinger Bands
Buy signal: When BB_Width is expanding (increasing volatility often precedes trend moves)
Why it matters: Widening bands can signal the start of a new trend
5. Price_SMA_50_Ratio (0.158)
Direction: BULLISH ↑
Interpretation: When price is ABOVE the 50-day MA → UP prediction
What to monitor: Current price ÷ SMA_50
Buy signal: When ratio > 1.0 (price is above the 50-day average)
Why it matters: Price above moving averages indicates uptrend
6. Momentum_21D (21-day Momentum) (0.152)
Direction: BULLISH ↑
Interpretation: Positive 21-day momentum → UP prediction
What to monitor: 21-day rate of change
Buy signal: When momentum is positive and increasing
Why it matters: Positive momentum suggests continuation
7. Stoch_K (Stochastic Oscillator) (0.142)
Direction: BULLISH ↑
Interpretation: Higher Stochastic K → UP prediction
What to monitor: Stochastic oscillator (0-100 scale)
Buy signal: When Stoch_K is rising from oversold (<20) or in mid-range (40-60)
Why it matters: Measures momentum and overbought/oversold conditions
BTC - Bitcoin Strategic Dashboard by RM Title: BTC - Bitcoin Strategic Dashboard | RM
Overview & Philosophy
The Bitcoin Strategic Dashboard is a comprehensive analytics tool designed to provide deeper market context beyond simple price action.
While a standard chart displays price history, this dashboard focuses on the structural health of the market. It aims to answer clearer questions: Is the asset statistically overextended? Is the current volatility compressed or expanding? How is Bitcoin currently correlating with traditional equity markets?
This script aggregates key data points—Performance, Risk, Valuation, and Macro Correlations—into a single, organized table. It is designed to be a quiet, high-density reference tool that sits unobtrusively in the corner of your screen, helping to contextualize daily price movements without cluttering your workspace.
Methodology & Module Breakdown
The dashboard is divided into 5 strategic modules. Here is exactly how to read them, how they are calculated, and how to interpret the data.
1. PERFORMANCE
This section answers: "Is Bitcoin actually beating the traditional market, and by how much?"
BTC Return : The raw percentage growth of Bitcoin.
Timeframes: 1-Year (Tactical Trend) and 4-Year (The Halving Cycle).
Alpha (vs SPX / Gold):
Meaning : "Alpha" measures true outperformance. It tells you how much better your capital worked in Bitcoin compared to the S&P 500 (Stocks) or Gold.
Calculation : We use a Relative Growth Ratio. Instead of simple subtraction, we calculate the growth factor of BTC divided by the growth factor of the Benchmark.
Interpretation :
Green: Bitcoin is outperforming. It is the superior vehicle for capital.
Red: Bitcoin is underperforming traditional assets (Opportunity Cost is high).
2. RISK PROFILE
This section answers: "How dangerous is the market right now?"
Drawdown (DD):
Meaning : The percentage loss from the 1-Year High.
Interpretation : Deep Drawdowns (e.g., > -50%) historically signal generational buying opportunities (Deep Red). Small Drawdowns (< -5%) signal we are near "Discovery Mode" (Blue/Green).
Sharpe Ratio:
Meaning : The industry standard for "Risk-Adjusted Return." It asks: "Is the profit worth the stress?"
Timeframe : Annualized over 365 Days.
Interpretation :
> 1.0: Good. The return justifies the risk.
> 2.0: Excellent. (Dark Green).
< 0.0: Bad. You are taking risk for negative returns.
Sortino Ratio:
Meaning : Similar to Sharpe, but it only counts downside volatility as "risk." Bitcoin often rallies aggressively (Good Volatility); Sortino ignores the upside "risk" and focuses only on minimizing losses.
Volatility (Vol) & Rank:
Meaning : How violently the price is moving.
Calculation : We compare the current 30-Day Volatility against the last 4 Years of volatility history (Rank 0-100).
Interpretation (The Squeeze Strategy) :
BLUE (Cold / <25%): Volatility is historically low. The market is "compressed." Big moves often follow these periods.
RED (Hot / >75%): Volatility is extreme. High risk of mean reversion or panic.
3. VALUATION & MOMENTUM
This section answers: "Is Bitcoin cheap or expensive?"
Mayer Multiple (MM):
Meaning: A "Godfather" of Bitcoin ratios.
Calculation : Current Price divided by the 200-Day Moving Average.
Interpretation :
< 0.8 (Blue): Historically "Cheap."
1.0: Fair Value (Price = Trend).
> 2.4 (Red): Speculative Bubble territory.
RSI (Relative Strength Index):
Timeframe : 14 Days.
Interpretation : >70 suggests the market is overheated (Red). <30 suggests oversold conditions (Blue).
Trend (ADX) :
Meaning : The Average Directional Index measures the strength of a trend, not the direction.
Interpretation : Values >25 (Green) indicate a strong trend is present. Values <20 (Gray) indicate a choppy/sideways market (no trend).
vs 200W (Macro):
Meaning : The distance to the 200-Week Moving Average.
Interpretation : This line is historically the "Cycle Bottom" or "Absolute Support" for Bitcoin. Being close to it (or below it) is rare and often marks cycle lows.
4. MACRO CORRELATIONS
This section answers: "Is Bitcoin moving on its own, or just following the Stock Market?"
vs TradFi (SPX):
Timeframe : 90-Day Correlation Coefficient.
Interpretation :
High Positive (Red): BTC is just acting like a tech stock. No "Safe Haven" status.
Negative/Zero (Green): BTC is "decoupled." It is moving independently of Wall Street.
vs DXY (US Dollar):
Interpretation : Bitcoin usually moves inverse to the Dollar.
Negative (Green): Normal healthy behavior.
Positive (Red): Warning signal. If both DXY and BTC rise, something is breaking in the system.
5. HISTORICAL LEDGER
A Year-by-Year breakdown of returns.
Feature : You can toggle the comparison column in the settings to compare Bitcoin against either S&P 500 or Gold.
Usage : Helps visualize the cyclical nature of returns (e.g., the 4-year cycle pattern of Green-Green-Green-Red).
How to Read the Visuals (Heatmap)
The dashboard uses a standardized Bloomberg-style heatmap to let you assess the market state in milliseconds:
🟢 Green: Profit / Good Performance / Positive Alpha.
🔴 Red: Loss / Overheating / High Risk.
🔵 Blue: "Cold" / Cheap / Low Volatility (Potential Buy Zones).
🟠 Orange: Warning / High Drawdown.
⚫ Gray/Black: Neutral or Fair Value.
Settings & Customization
Visuals: Change the text size (Tiny, Small, Normal) to fit your screen resolution.
Modules: You can toggle individual sections on/off to save screen space.
Calculation: Switch the Historical Benchmark between "S&P 500" and "Gold" depending on your thesis.
Disclaimer
This script is for research and educational purposes only. The metrics provided (Sharpe, Sortino, Mayer Multiple) are derived from historical data and do not guarantee future performance. "Cheap" (Low Mayer Multiple) does not mean the price cannot go lower. Always manage your own risk.
Tags
bitcoin, btc, bloomberg, terminal, dashboard, onchain, mayer multiple, sharpe ratio, volatility, alpha, risk management, Rob Maths
Market + Direction + Entry + Hold + Exit v1.5 FINALOverview
This script is a complete trend-based trading framework designed to filter market conditions, determine directional bias, detect high-quality pullback entries, manage active trades, and identify trend-weakening exit points.
It is optimized for NQ futures, Gold (XAUUSD), and Bitcoin, with adaptive parameters for each asset.
The logic focuses on trading only when conditions are favorable, aligning entries with the primary trend, and avoiding low-probability setups.
1. Market Condition Filter
Before any signal appears, the script checks whether the market is active using three conditions:
ATR compared to ATR moving average (volatility condition)
Volume compared to average volume (liquidity condition)
Price distance from VWAP (suppression of mean-reversion environments)
A trade environment is considered active when at least two of these three conditions are positive.
2. Trend Direction Filter
Directional bias is defined by:
EMA21 relative to EMA55
Price relative to VWAP
Heikin-Ashi structure
When these conditions align, the script switches into long-only or short-only mode.
No counter-trend signals are displayed.
3. Entry Logic (L, L2, L3 and S, S2, S3)
The system identifies pullback entries within a confirmed trend.
Long entries require:
Uptrend confirmation
Price dipping toward EMA21 or EMA55
A constructive Heikin-Ashi candle
Market environment active
Short entries mirror the same structure in bearish conditions.
Re-entries (L2, L3, S2, S3) are given only if the trend remains intact after the first entry.
4. Hold Logic
A hold signal appears if momentum remains aligned with the trend.
Momentum is evaluated using the Stochastic indicator (K and D lines).
5. Exit Logic
An exit signal appears when:
The recent structural low (for longs) or high (for shorts) is broken, and
The EMA slope indicates weakening trend strength
This combination identifies high-probability trend exhaustion.
How to Use
Add the script to your chart.
Select an asset preset (NQ, GOLD, BTC).
Wait for the market to be active.
Follow the entry signals (L, L2, L3 or S, S2, S3).
Hold signals help confirm continuation.
Exit signals indicate potential trend reversal or weakness.
Feature Summary
Market environment filter
Trend direction filter
Pullback-based entry system
Multi-stage re-entry framework
Momentum-based hold signal
Structure-based exit
Asset-adaptive parameters
Clean chart visualization
Disclaimer
This script is for research and educational use.
It does not constitute financial advice.
Always backtest before using in live markets.
개요
이 스크립트는 시장 상태 필터링, 추세 방향 판단, 고품질 눌림목 진입, 보유 판단, 추세 약화 기반 청산까지 모두 포함하는 완전한 트레이딩 프레임워크입니다.
NQ, 골드(XAUUSD), 비트코인에 맞게 최적화되어 있습니다.
1. 시장 필터
다음 세 가지 중 두 가지 이상이 충족될 때만 매매 환경을 ‘활성’으로 판단합니다.
ATR 기준 변동성 체크
거래량 활성도 체크
가격의 VWAP 거리 체크
2. 방향(추세) 필터
다음 조건을 기반으로 상승·하락 추세를 결정합니다.
EMA21 vs EMA55
가격 vs VWAP
Heikin-Ashi 구조
이 조건이 일치할 때만 롱 전용 또는 숏 전용 모드로 진입합니다.
3. 진입 로직
추세가 유지되는 상태에서 EMA21 또는 EMA55까지 눌림이 나올 때
L 또는 S 신호를 제공합니다.
추세가 유지되면 L2/L3, S2/S3 재진입 신호가 추가로 발생합니다.
4. 보유(Hold)
모멘텀이 추세 방향과 일치할 때 보유 신호를 제공합니다.
5. 청산(Exit)
다음 두 조건이 동시에 나타날 때 청산 신호가 표시됩니다.
직전 구조(스윙)가 붕괴될 때
EMA 기울기가 약화될 때
사용 방법
차트에 스크립트를 추가합니다.
자산 프리셋(NQ, GOLD, BTC)을 선택합니다.
시장이 활성일 때만 신호를 참고합니다.
L/S 진입 신호와 보유/청산 신호를 활용해 매매 흐름을 관리합니다.
Price Crossing 144 EMA Alert (No Visuals)Price Crossing 144 EMA Alert (No VisuPrice Crossing 144 EMA Alert (No Visuals)Price Crossing 144 EMA Alert (No Visuals)Price Crossing 144 EMA Alert (No Visuals)Price Crossing 144 EMA Alert (No Visuals)als)
Expectativa de Juros (Fed)An indicator that measures future expectations for US interest rates, measured by the difference between the Fed's interest rate and pricing on the CME.
EMA 5/9 Angle + Candle Strength (SL=Open, TP=RR)EMA 5 / EMA 9 cross
Cross must have ~30° angle (approximated using slope → atan)
Entry candle must be bullish/bearish and also be Normal / 2nd Most / Most based on body-size percentile
Entry = close of signal candle
SL = open of signal candle
TP = 1:2 RR (editable input)
Monthly DI+ & RSI StrategyOverview This strategy is designed to capture significant trend reversals and continuations on the Monthly timeframe. It combines the trend-following capability of the Directional Movement Index (DMI) with the fast momentum detection of RSI (Period 6).
Core Logic The strategy triggers a long position based on a dual-confirmation system. It looks for a specific "handshake" between Trend (DI) and Momentum (RSI).
Entry Conditions (OR Logic) A Buy signal is generated if EITHER of the following occurs:
Trend Trigger: DI+ crosses over DI- (while RSI is already bullish, trading above its SMA).
Momentum Trigger: RSI(6) crosses over RSI SMA(14) (while the trend is already bullish, with DI+ > DI-).
Exit Condition (Stop Loss)
Trend Reversal: The position is closed immediately if DI- crosses over DI+, indicating the bullish trend has been invalidated.
Default Settings
Timeframe: Optimized for 1M (Monthly) charts.
RSI: Length 6
RSI SMA: Length 14
DMI: Length 14 / Smoothing 14
Risk Warning This script is for educational purposes only. Past performance does not guarantee future results. Always backtest on your specific asset classes before trading.
Session Volume Profile Sniffer: HVN & Rejection ZonesA simple tool built for traders who rely on intraday volume structure.
What this script does
This script tracks volume distribution inside a selected session and highlights two key price levels:
High Volume Nodes (HVNs) — areas where price spent time building heavy participation.
Low Volume Nodes (LVNs) — thin zones where price moved quickly with very little interest.
Instead of plotting a full profile, this tool gives you the exact rejection-level lines you usually hunt manually.
Why these levels matter
HVN → price tends to react, stall, or flip direction
LVN → price often rejects strongly since liquidity is thin
Rejection patterns around these areas give clean entry signals
Positioning trades around HVN/LVN helps filter noise in choppy sessions
This script removes the trouble of drawing profiles, counting bins, or guessing node levels. Everything is calculated inside the session you choose.
How the detection works
Inside your session window, the script:
1. Tracks each tick-based price bucket
2. Accumulates raw volume for every bucket
Identifies:
HVNs = buckets with volume above a tier
LVNs = buckets with volume below a tier
3. Prints each level as a single clean line
4. Generates:
Long signal → bounce from LVN
Short signal → rejection from HVN
Built-in exits use ATR-based conditions for quick testing.
Features
Session-based volume mapping
HVN + LVN levels drawn automatically
Entry triggers based on rejection
ATR exits for experimental backtests
Clean, minimal visual output
Best use cases
Intraday futures
Index scalping
FX sessions (London / NY)
Crypto sessions (user-timed)
Anyone who trades around volume structure
Adjustable settings
Session window
Volume bin size
HVN multiplier
LVN multiplier
Enable/disable zone lines
This keeps it flexible enough for both scalpers and slow-paced intraday setups.
Important note
This script is built for study + idea testing.
It is not intended as a final system.
Once you identify how price behaves around these nodes, you can blend this tool into your own setup.
Multi-Trend + Credit Risk DashboardHello This is showing 20,50,200 as well as some other useful indicators. hope you like it, its my first! D and P is discount or premium to nav
Session HeatmapIntraday Seasonality
Overview
Analyzes historical patterns by time of day. Identifies when volatility, volume, and open interest changes tend to be highest or lowest.
Features
Multiple Metrics: TR (volatility), Volume, and Open Interest changes
Flexible Grouping: View patterns by weekday or month to spot day-of-week or seasonal effects
Heatmap Visualization: Blue (low) to Red (high) color scale for quick pattern recognition
Percentile Mode: Reduces outlier impact by using 5th-95th percentile range
Timezone Support: Display in UTC alongside your local time
Metrics Explained
TR: Volatility - when markets move most
Volume: Liquidity - when participation is highest
OI Increase: When new positions are opened
OI Decrease: When positions are closed
OI Net: Net open interest change
Usage
Set your timezone and preferred slot size (30min/1H)
Choose a date range (relative or custom)
Select a metric to analyze
Use "Group By" to see weekday or monthly patterns
Switch to Percentile color scale if outliers dominate
Notes
Chart timeframe should be equal to or smaller than Slot Size
OI metrics require Binance Perpetual symbols
DST is not automatically adjusted; consider seasonal shifts for US/EU sessions
SigmaFlowSigmaFlow is a professional signal management connector designed to work with the SigmaFlow app. This indicator allows traders to structure trade setups (Entry, Stop Loss, TP1, TP2) on TradingView and send them into the SigmaFlow platform, where signals are managed, tracked, and delivered to Telegram.
Professional signal management — from TradingView to Telegram.
How SigmaFlow Works:
Sends trade data from TradingView to Telegram via the SigmaFlow platform.
SigmaFlow handles signal management, organization, history tracking, performance metrics, and Telegram delivery.
What It Does NOT Do:
Does not generate trading signals
Does not provide investment advice
Does not execute trades
Requirements:
TradingView plan with webhook alerts*
Active SigmaFlow account*
Disclaimer
SigmaFlow is a signal management and delivery tool only. All trade ideas are created manually by users. Trading involves risk and past performance does not guarantee future results.
Sustained 200 SMA Cross (Locked to Daily)For individuals looking to track trend changes against the 200 day simple moving average. We are measuring 5 consecutive days changing from the above or below the 200 day SMA as a flag for a potential shift in trend.
HIGH BULLISH PROBABILITY SIGNAL Based on Ema, rsi, adr, volume we will determine if the stock is going to explode.
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Hybrid Trend-Following Inside Bar BreakoutHybrid Trend-Following Inside Bar Breakout Strategy
The Hybrid Trend-Following Inside Bar Breakout Strategy is a rule-based trading system designed to capture strong directional moves while controlling risk during uncertain market conditions. It combines trend-following, price action, and volatility-based risk management into a single robust framework.
Core Concept
The strategy trades inside bar breakouts only in the direction of the dominant market trend. Inside bars represent periods of consolidation, and when price breaks out of this consolidation in a trending market, it often leads to impulsive moves with favorable risk–reward characteristics.
Key Components
1. Trend Filter
Uses 50 EMA and 200 EMA to define the market trend.
Bullish bias: 50 EMA above 200 EMA
Bearish bias: 50 EMA below 200 EMA
This filter prevents counter-trend trades and improves trade quality.
2. Volatility Filter
Compares fast ATR (14) with slow ATR (50).
Trades are taken only when volatility is expanding or above a minimum threshold.
This avoids low-volatility, choppy market conditions.
3. Inside Bar Breakout
An inside bar forms when the current candle’s high is lower than the previous candle’s high and the low is higher than the previous candle’s low.
A trade is triggered only when price breaks above or below the inside bar range in the direction of the trend.
4. Candle Quality Filter
Requires a minimum body-to-range ratio, ensuring that the breakout candle has strong momentum and is not driven by weak wicks.
Risk Management & Trade Management
Stop Loss (SL)
Placed using ATR-based dynamic stops, adapting to current market volatility.
Prevents tight stops in volatile conditions and wide stops in calm markets.
Partial Profit Taking
50% of the position is exited at 1.5R, locking in profits early.
This reduces psychological pressure and improves equity stability.
Trailing Stop
After partial profit is taken, the remaining position is managed with an ATR-based trailing stop.
Allows the strategy to capture large trend moves while protecting gains.
Cooldown Mechanism
After a losing trade, the system enters a cooldown period and skips a fixed number of bars.
This helps avoid revenge trading and overtrading during unfavorable market phases.
Why This Strategy Works
Trades only high-probability breakouts in trending markets
Adapts automatically to changing volatility
Combines price action precision with systematic risk control
Designed for consistent performance over long historical periods
MA20 ATR Trend Failure FilterA volatility-adaptive filter designed to identify early trend invalidation.
This indicator combines a 20-period Moving Average (MA20) with Average True Range (ATR) to dynamically define a lower volatility boundary.
When price closes below this boundary, it signals that the current trend is no longer valid and risk is increasing.
Core Concept(核心思想)
MA defines the trend baseline
ATR measures current market volatility
MA − k × ATR forms a dynamic risk threshold
A close below this threshold = trend failure
👉 中文补充:
这不是反转指标,而是趋势失效过滤器,用于避免在趋势已经被破坏后继续持仓或加仓。
How It Works
Calculate MA20 as the trend reference
Calculate ATR(14) as volatility proxy
Build adaptive bands:
Upper Band = MA20 + k × ATR
Lower Band = MA20 − k × ATR
If close < Lower Band, trend is considered failed
The ATR multiplier k automatically adjusts the tolerance based on volatility, avoiding rigid fixed-percentage rules.
Visual Elements
Yellow line: MA20
Green band: MA20 + k × ATR
Red band: MA20 − k × ATR (key risk boundary)
Red triangle + “FAIL” label: Trend failure signal
Optional background shading to highlight risk zones
Typical Use Cases
Trend-following strategies (exit / reduce exposure)
Breakout strategies (filter false continuation)
Risk management overlay (non-intrusive, no repaint)
Combine with HMA, SuperTrend, structure-based entries
👉 中文补充:
非常适合作为**“不该再拿”的客观判断条件**,而不是频繁交易信号。
Why This Indicator
Volatility-adaptive (ATR-based)
No future data, no repaint
Simple logic, strong risk control
Works across stocks, crypto, futures, indices
This tool is designed to answer one question only:
Is the current trend still valid?
Parameters
MA Length (default: 20)
ATR Length (default: 14)
ATR Multiplier k (default: 0.8)
Lower k → stricter risk control
Higher k → more tolerance, fewer false signals SSE:600595






















