ttb check listThe strip is a visual discipline tool — not a signal generator.
It sits in the top-right of your TradingView chart as a small table and acts like a pre-flight checklist before you take a trade.
Think of it as your sniper scope HUD.
אינדיקטורים ואסטרטגיות
London Session + EMA 200 + UT BotCombined trading indicator featuring three powerful tools:🔵 London Session Box - Highlights the London trading session (0700-1600) with a customizable colored box to identify high-volume trading periods📈 EMA 200 - Exponential Moving Average for trend identification and dynamic support/resistance levels🎯 UT Bot - ATR-based trailing stop indicator with buy/sell signals and bar coloring for trend following
Multi-Indicator DashboardMulti-timeframe trading dashboard overlay on your chart. Analyzes Trend, Momentum, Swing, Strength, Direction, Volatility, and delivers a final VIEW (Bullish/Bearish/Flat) across 5 key timeframes. Perfect for quick multi-TF alignment checks! W → D → 2H → 1H → 15M
Features
Color-Coded Cells: Green (Bullish), Red (Bearish), Gray (Neutral).
Historical Mode: Toggle "Enable Historical View" → Slider picks N bars back (chart TF-aware: e.g., 10 bars = 2.5H on 15M).
Yellow vertical line + date label marks the exact bar
Quick Setup
Add to chart → Customize inputs.
Historical: Enable + slide "Bars Back" for past data snapshots.
Views Update Live: Real-time on current/historical bars.
Liquidity Trap Detector Pro [PyraTime]The Problem: Why You Get Stopped Out
90% of retail traders place their stop-losses at obvious swing highs and lows. Institutional algorithms ("Smart Money") are programmed to push price through these levels to trigger liquidity, fill their heavy orders, and then immediately reverse the market.
If you have ever had your stop hit right before the market moves exactly where you predicted—you were the victim of a Liquidity Trap.
The Solution: Visualizing the "Stop Hunt"
Liquidity Trap Detector Pro is not just a support/resistance indicator. It is a comprehensive Reversal Scoring Engine.
Unlike standard indicators that spam signals on every wick, this tool uses a proprietary 5-Star Scoring System to analyze the quality of the trap. It validates every signal using Wick Symmetry, RSI Divergence, and Volume Analysis to separate a true reversal from a trend continuation.
Key Features (USP)
- 5-Star Scoring Engine: Every signal is rated from 1 to 5 stars. Stop guessing if a signal is valid; let the algorithm check the confluence for you.
- Glassmorphism Visuals: Gone are the messy lines. We use modern, semi-transparent "Liquidity Zones" that keep your chart clean and professional.
- Smart Terminology: Automatically identifies Bull Traps (Buyers trapped at highs) and Bear Traps (Sellers trapped at lows).
- Heads-Up Display (HUD): A professional dashboard monitors the market state, active filters, and recent trap statistics in real-time.
- Strict Non-Repainting: (Technical Note) This script uses strict non-repainting logic. All Higher Timeframe (HTF) data is confirmed and closed before a signal is generated, ensuring historical accuracy.
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Tutorial: How to Trade This Indicator
1. Understanding the Signals
We use correct institutional terminology to describe the market mechanics:
GREEN Signal (BEAR TRAP):
- What happened: Price swept a Swing Low, enticing sellers (Bears) to enter. The candle then reversed and closed back inside the range, trapping those sellers.
- The Trade: This is a Bullish Reversal setup (Long).
RED Signal (BULL TRAP):
- What happened: Price swept a Swing High, enticing buyers (Bulls) to breakout. The candle reversed and closed lower, trapping the buyers.
- The Trade: This is a Bearish Reversal setup (Short).
2. The 5-Star Scoring System
Not all traps are created equal. The stars tell you how much "Confluence" exists:
- 1 Star: A basic structure sweep. Risky.
- 3 Stars: A solid setup backed by either Volume or Divergence.
- 5 Stars: The "Perfect" Trap. Structure Sweep + RSI Divergence + Volume Spike + Wick Symmetry. High Probability.
3. The Strategy
- Wait for the Zone: Watch price approach a coloured Liquidity Zone.
- Observe the Reaction: Do not trade blindly. Wait for the candle to close.
- Check the Stars: Look for at least 3 Stars before considering an entry.
- Confirm with HUD: Glance at the Dashboard to ensure the "RSI Filter" and "Vol Filter" agree with your analysis.
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Settings Guide
Structure Settings:
- Pivot Lookback: Adjusts how sensitive the zones are (Default: 10/5).
- HTF Confirmation: Optional filter to only show traps that align with Higher Timeframe structure (e.g., 1H or 4H).
Quality Filters:
- RSI Divergence: Requires momentum to disagree with price (classic reversal sign).
- Volume Spike: Requires volume to be higher than average (Smart Money footprint).
Visuals:
- Clean Mode: A presenter-favorite feature. Hides all historical zones and leaves only the active setup—perfect for taking screenshots or sharing analysis.
Disclaimer
This tool is designed to assist with technical analysis and identifying potential areas of interest. It does not guarantee profits. Trading involves significant risk; always use proper risk management.
Buy & Hold Compounded ValueBuy & Hold Compounded Value
This indicator calculates the cumulative compounded value of a buy-and-hold investment from the instrument’s inception. Starting from a user-defined initial investment (default $1000), it compounds returns using monthly price changes and displays the current portfolio value in the TradingView status line only.
Designed for use on monthly charts, it provides a clean, clutter-free way to evaluate long-term performance without adding any visuals to the chart.
hassan box 2026This indicator is a tool designed to monitor general areas and predict future targets.
Candle Percentage Change, Clean, Hover Only Price Move IndicatorA minimal, clutter-free indicator that displays the percentage change of each candle (Open → Close) directly in the TradingView status line.
✔ No lines, labels, or drawings on the chart
✔ No separate pane
✔ Positive values shown in green, negative in red
✔ Value updates live and is visible on hover or next to the indicator name
Perfect for traders who want quick context on candle strength without polluting the chart — especially useful on higher timeframes (daily, weekly, monthly).
Simple, lightweight, and designed to stay out of the way while still giving you the information you need.
mncl's SL_TP FInderWe are all used to using the ATR to estimate the stop loss or take profit. So I wondered if there is another way since I found the ATR a little too far sometimes.
In this script, i combine other ways of finding your take profit or stop loss. These can be found in the settings. I also include a way to estimate the amount of money to risk per trade.
Have a go at it and let me know if you found it useful.
- mncl -
Market Entropy [Alpha Extract]A sophisticated information theory-based market analysis system that measures price randomness and structural order using Shannon entropy calculations across price, returns, and volume distributions. Utilizing adaptive percentile-based thresholds and multi-timeframe confirmation, this indicator delivers institutional-grade regime classification distinguishing between structured trending conditions and chaotic ranging environments. The system's composite entropy framework combined with dynamic gradient visualization and MTF alignment validation provides comprehensive market state assessment for optimal strategy selection and risk management.
🔶 Advanced Shannon Entropy Engine
Implements pure information theory methodology using histogram distribution analysis with configurable bin counts to calculate normalized entropy values for price, returns, and volume metrics. The system constructs probability distributions from rolling windows, applies logarithmic entropy calculations, and normalizes against theoretical maximum entropy to produce 0-1 bounded measurements of market randomness and predictability.
float entropy = 0.0
float total = float(len)
for i = 0 to bins - 1
float count = array.get(bin_counts, i)
if count > 0
float prob = count / total
entropy -= prob * math.log(prob) / math.log(2)
float max_entropy = math.log(bins) / math.log(2)
result := entropy / max_entropy
🔶 Adaptive Percentile Threshold System
Features intelligent threshold determination using rolling percentile calculations over configurable calibration periods to establish structure and chaos zones that adapt to changing market characteristics. The system calculates lower percentile for structure threshold (ordered markets) and upper percentile for chaos threshold (random markets), enabling regime classification that adjusts automatically to market evolution.
🔶 Multi-Timeframe Alignment Framework
Implements comprehensive MTF entropy analysis retrieving composite entropy from three configurable higher timeframes with alignment validation logic. The system calculates divergence between current timeframe entropy and higher timeframe values, generating confirmation signals only when all timeframes exhibit entropy agreement within tolerance bands for enhanced signal reliability.
🔶 Three-Regime Classification Engine
Provides sophisticated market state determination classifying conditions as structure (entropy below lower threshold), chaos (entropy above upper threshold), or neutral (entropy between thresholds) with regime strength measurement. The system tracks regime transitions and calculates conviction scores based on distance from thresholds, enabling nuanced assessment of market order versus randomness.
🔶 Composite Entropy Architecture
Combines three distinct entropy measurements weighted by relevance to create unified market randomness metric with exponential smoothing for stability. The system applies 40% weight to price entropy (distribution shape), 35% to return entropy (movement patterns), and 25% to volume entropy (participation randomness), capturing comprehensive market microstructure information.
🔶 Dynamic Gradient Visualization System
Features advanced color blending engine that transitions between primary and secondary colors based on entropy momentum intensity with glow effects for conviction emphasis. The system calculates entropy rate of change, normalizes against recent extremes, and applies smooth color interpolation from secondary to primary hues as momentum intensifies, creating intuitive visual representation of regime strength.
🔶 Intelligent Zone Fill Architecture
Implements multi-layer gradient fills within structure and chaos zones that intensify as entropy moves deeper into extremes, providing immediate visual feedback on regime conviction. The system creates three-tier gradient levels at 33%, 66%, and 100% penetration into zones with progressively lower transparency, emphasizing extreme entropy conditions requiring attention.
🔶 Momentum-Based Divergence Detection
Generates entry signals when entropy crosses below bull divergence level or above bear divergence level, identifying potential regime transitions before price confirmation. The system monitors entropy momentum direction during threshold crossings and validates with MTF alignment, producing high-probability reversal signals at entropy extremes.
🔶 Normalized Display Framework
Provides 0-100 scaled visualization using adaptive min-max normalization calculated from percentile analysis, ensuring consistent visual interpretation across different market conditions and instruments. The system transforms raw composite entropy into normalized space with dynamic thresholds, enabling cross-market and cross-timeframe entropy comparison.
🔶 Regime Strength Measurement
Calculates conviction scores measuring depth of entropy penetration into structure or chaos zones relative to historical ranges, quantifying how definitively current conditions favor trending versus ranging strategies. The system produces 0-1 strength values that modulate visual intensity and can inform position sizing or strategy allocation decisions.
🔶 Performance Optimization Framework
Utilizes efficient array operations with optimized histogram calculations and configurable lookback limits to balance accuracy with computational efficiency. The system includes intelligent caching of percentile calculations and streamlined probability summations for smooth real-time entropy updates across extended historical periods.
🔶 Why Choose Market Entropy ?
This indicator delivers sophisticated market regime analysis through pure information theory methodology measuring actual randomness versus structure in price behavior. Unlike traditional volatility or trend indicators that measure price movement characteristics, Market Entropy quantifies the fundamental predictability of market conditions using Shannon entropy calculations. The system's composite approach combining price, return, and volume distributions with adaptive thresholds, MTF confirmation, and gradient visualization makes it essential for traders seeking objective regime classification to optimize strategy selection. Low entropy (structure zone) indicates ordered, trending conditions favorable for directional strategies, while high entropy (chaos zone) signals random, ranging markets better suited for mean reversion or reduced exposure. The indicator excels at identifying regime transitions before they become obvious in price action across cryptocurrency, forex, and equity markets.
MTG v1MTG v1 is a complete trend-following trading system that combines:
PSAR (Parabolic SAR) - Trend direction
EMAs (5, 13, 50) - Momentum confirmation
AMA (Adaptive Moving Average) - Intelligent exits
Smart Filters - Volume, ATR, choppy market detection
Purpose: Catch strong trends early and ride them for maximum profit.
Volume Anomaly Reversal DetectionVolume Anomaly Reversal Detection (VARD System)
🎯 What This Indicator Does
This indicator identifies potential trend reversals by detecting abnormal volume activity that often precedes significant price movements. It combines volume anomaly detection with dynamic trend analysis to generate actionable BUY/SELL signals.
📊 Core Concept & Methodology
Volume Anomaly Detection
The indicator analyzes directional volume (buying vs selling pressure) from a lower timeframe and calculates Z-scores to identify statistically significant volume spikes.
Z-Score Formula:
Z = (Current Volume - Average Volume) / Standard Deviation
When volume exceeds the threshold (default: 3 standard deviations above mean), it signals unusual market activity - often caused by forced liquidations or capitulation.
Dynamic Trend Filter
A custom trend-following algorithm based on ATR (Average True Range) bands determines the current market direction:
Price above lower band = Uptrend
Price below upper band = Downtrend
Signal Logic
Volume anomaly detected during an existing trend
Trend reversal confirmed within the confirmation window
Signal generated = BUY or SELL label appears
⚙️ Settings Explained
SettingDefaultDescriptionAnalysis Timeframe15minLower timeframe for volume samplingStatistical Lookback200Bars used for Z-score calculationAnomaly Sensitivity3.0Z-score threshold (lower = more signals)Confirmation Window50Max bars between anomaly and trend flipATR Multiplier2.0Trend band widthTrend Period10ATR calculation length
📖 How To Use
Entry Signals
BUY: Green label appears below bar - consider long positions
SELL: Red label appears above bar - consider short positions
Volume Anomaly Markers (⬥)
Small diamonds indicate detected volume spikes
These are early warnings before confirmed signals
Useful for anticipating potential reversals
Trend Bands
Colored zones show active signal direction
Stay with the trend until opposite signal appears
Best Practices
Confirm with price action - Look for support/resistance levels
Use appropriate timeframes - Works on all timeframes, but 1H-4H recommended
Manage risk - Always use stop losses
Avoid ranging markets - Best in trending/volatile conditions
⚠️ Important Notes
No indicator is perfect - Use as part of a complete trading strategy
Volume data required - Will show warning if volume unavailable
Not financial advice - Always do your own research
🔔 Alerts Available
BUY Signal Confirmed
SELL Signal Confirmed
Volume Anomaly (Buy Setup)
Volume Anomaly (Sell Setup)
ATRlvlThe indicator shows the filtered ATR, and you can specify the level price and see how the instrument behaves relative to the level, taking into account the ATR.
Session & ATR Trailing Stop mindedgean indicator that highlights the asian range where i look for the 15m fractal to be swept and then i trade in the opposite direction
RRR EMA Ignition BUY & SELL (Sideways-Proof)🔹 Description
RRR EMA Ignition Buy & Sell is a trend-following, non-repainting indicator designed to capture high-probability trend ignition points while filtering out sideways market noise.
Unlike basic EMA crossover systems that generate frequent false signals, this indicator uses a state-based trend engine, volatility filters, and trend strength confirmation to ensure signals appear only when a real directional move is underway.
It is optimized for swing trading and positional trading on stocks and indices.
🔹 Core Logic
🔼 BUY Signal (Bullish Ignition)
A BUY signal is generated only when all of the following conditions are met:
EMA 21 confirms bullish regime above EMA 55
EMA 9 shows momentum above EMA 21
Price is trading above EMA 55
Candle closes bullish (confirmation)
Trend strength is validated using ADX
EMA 55 is sloping upward
Price is sufficiently far from EMA 55 (ATR-based distance filter)
Only one BUY per bullish trend leg (no repeated signals)
🔽 SELL Signal (Bearish Ignition)
A SELL signal is the exact reverse of the BUY logic:
EMA 21 confirms bearish regime below EMA 55
EMA 9 shows bearish momentum below EMA 21
Price is trading below EMA 55
Candle closes bearish
ADX confirms trend strength
EMA 55 is sloping downward
ATR distance filter blocks sideways chop
Only one SELL per bearish trend leg
🔹 Key Features
✅ Non-repainting (signals appear only after candle close)
✅ Sideways-market protection using ATR + ADX
✅ State-based logic (prevents repeated BUY/SELL spam)
✅ Handles strong V-reversals using trend re-arm logic
✅ Clean signals suitable for alerts and automation
✅ Works across stocks, indices, and ETFs
🔹 Best Use Cases
📈 Swing trading on Daily / 4H charts
📊 Large-cap stocks and indices (Nifty, Bank Nifty, SPX, NASDAQ)
🚫 Not intended for low-timeframe scalping
🎯 Designed for trend capture, not range trading
🔹 Recommended Settings
Indian Stocks
ADX Minimum: 18
ATR Multiplier: 0.6 – 0.8
US Indices
ADX Minimum: 22
ATR Multiplier: 0.5
(Default settings work well for most instruments.)
🔹 How to Trade (Simple Guide)
Use BUY signals to enter or add to long positions
Use SELL signals to enter short positions or exit longs
Combine with:
Support/resistance
Higher-timeframe bias
Position sizing & risk management
🔹 Disclaimer
This indicator is a decision-support tool, not financial advice.
Always apply proper risk management and confirm signals with your own analysis.
Sarina - 6 EMA Smart Signals - Colored AreasAdvanced 6 EMA system with smart MACD-based color coding. Features triple EMA pairs, dual signal types (MACD-only & FULL), real-time dashboard, and customizable displays. Perfect for multi-timeframe trend analysis with clear visual signals.
# 6 EMA Smart Signals with Colored Areas
## Overview
A sophisticated multi-timeframe indicator featuring three independent EMA systems with intelligent color coding based on MACD momentum. Perfect for traders who want clear visual signals and comprehensive trend analysis.
## Key Features
✅ **Triple EMA System** - 6 EMAs total (3 fast + 3 slow)
✅ **Smart Color Coding** - 4-color system based on MACD strength
✅ **Dual Signal Types** - MACD-only & FULL (EMA crossover) signals
✅ **Real-time Dashboard** - Compact table with all vital statistics
✅ **Fully Customizable** - Adjust every color, period, and display option
## How It Works
The indicator plots three pairs of EMAs, each representing different time horizons. The area between each fast/slow EMA pair is colored based on the corresponding MACD histogram's strength and direction. This creates an intuitive visual representation of momentum across multiple timeframes.
## Signal Interpretation
- **🟢 Green Triangles (Below Bar):** Buy signals
- **🔴 Red Triangles (Above Bar):** Sell signals
- **Faint Triangles:** MACD-only signals (quicker, more sensitive)
- **Bright Triangles:** FULL signals (EMA crossover + MACD, more reliable)
## Best Practices
1. **Start with defaults** - The preset periods (9/13, 21/34, 55/89) work well across most markets
2. **Use multi-system confirmation** - Wait for at least 2 systems to agree before entering
3. **Watch color alignment** - When all three areas turn the same color, the trend is strongest
4. **Combine with price action** - Use support/resistance levels for better entries
## Compatibility
- Works on all markets (Forex, Stocks, Crypto, Commodities)
- Suitable for all timeframes (1 minute to monthly)
- Compatible with other indicators
## Settings Guide
### EMA Systems
- **System 1 (Blue):** Short-term signals
- **System 2 (Green):** Medium-term trend
- **System 3 (Orange):** Long-term direction
### Display Options
- Toggle individual systems on/off
- Choose between MACD colors or solid fills
- Adjust signal visibility independently
## Disclaimer
This indicator is for educational and research purposes only. Past performance does not guarantee future results. Always practice proper risk management and consult with a financial advisor before trading.
Algomist.app v1.0🚀 WMA Crossover Momentum Scalper: Algomist.app AUTO-EXECUTION
This strategy is a momentum-based trend-following system optimized for fully automated, high-frequency trade execution via algomist.app webhooks. It systematically enters trades based on a powerful moving average crossover, confirmed by both volume and volatility filters.
⚙️ Core Strategy Logic
This script is designed to capture short- to medium-term moves in trending markets by combining three key indicators:
Trend Confirmation (WMA Crossover): The primary signal is generated when a Fast WMA (50-period) crosses the Slow WMA (100-period). This crossover confirms the shift in the prevailing trend direction.
Volume Filter (VWAP): The trade is only taken if the price is trading above the VWAP for Long entries, or below the VWAP for Short entries. This ensures the trade is aligned with the asset's average price relative to trading volume.
Volatility Filter (ATR): A minimum Average True Range (ATR) filter is applied. This is critical for avoiding entries during periods of extreme low volatility ("chop"), ensuring the market has enough movement to justify the trade.
🔗 Algomist.app Automation Ready
This is the most important feature. The script contains custom-coded alert() functions that output a perfect JSON payload, making it 100% compatible with the algomist.app webhook infrastructure.
Seamless Execution: The strategy instantly transmits all required parameters—symbol, side, entry_price, dynamic stop_loss, and dynamic take_profit—directly to your MT5 terminal through the algomist.app connector.
Simple Setup: To enable live automation, you only need to configure a TradingView alert using the provided webhook URL and the {{strategy.order.alert_message}} placeholder on the bar's close.
Default Asset: The webhook is pre-configured to trade the ETHUSDC symbol. This can be easily adapted to other crypto or Forex pairs within the algomist.app settings.
🛡️ Dynamic Risk Management (ATR-Based)
Risk management is dynamic, ensuring the Stop Loss and Take Profit levels automatically adapt to current market volatility:
Stop Loss (SL): Placed at a customizable (x) * ATR distance from the entry price. The default setting is 3.0x ATR.
Take Profit (TP): Placed at a customizable (x) * ATR distance from the entry price. The default setting is 9.0x ATR, offering a fixed Reward-to-Risk ratio of 3:1 (9.0 / 3.0).
Position Sizing: The script uses strategy.percent_of_equity = 10% for backtesting, but the algomist.app execution is based on an internal calculation using a small percentage (e.g., 5%) of a leveraged notional value for illustrative purposes. Users must set their risk size within the algomist.app platform.
Disclaimer: This script is provided as an example for Algomist.app users and is NOT financial advice. Backtest thoroughly across various assets and timeframes. Past performance is not indicative of future results. The user assumes all responsibility for live trading risk.
Stress & Recovery Daily Stock/BTC This indicator is a stress → recovery regime tool designed for Daily charts (Bitcoin and equities). It combines Williams Vix Fix (WVF) to detect panic/capitulation conditions (potential bottoms) with RSI vs EMA(RSI) to confirm the start of a recovery phase — but only when that recovery occurs within a configurable number of bars after a WVF panic event.
It is not a generic trend indicator. It focuses on one specific sequence:
Panic spike (WVF) → Recovery confirmation (RSI crossing above EMA(RSI)).
What it Shows
1) Red Bottom Shadow (Panic Zone)
A red shaded area below the baseline appears when WVF triggers a panic condition. This highlights periods where downside pressure and “panic-like” behavior are elevated.
To avoid clutter, the red triangle marker (▼) is plotted only once per red cluster, specifically on the last bar of the panic cluster (end of the WVF signal streak).
2) Green State Ribbon (Recovery Regime)
A green ribbon above the baseline indicates a recovery regime. You can choose how the green signal behaves:
Crossover only: green is active only on the single bar where RSI crosses above EMA(RSI).
State (RSI > EMA): green stays active as long as RSI remains above EMA(RSI).
3) Amber Ribbon (Conflict State)
If panic (WVF) and recovery (green state) overlap, the ribbon turns amber.
This indicates a mixed condition: panic is still present, but momentum is attempting to reverse.
4) Green Triangle Marker (▲) — Validated Recovery Start
A green triangle (▲) appears only when RSI crosses above EMA(RSI) AND that crossover happens within N bars from the most recent WVF panic zone. This time-window filter helps avoid unrelated RSI crossovers that occur far from capitulation events.
How to Use
- Treat red shadow as a “panic/stress zone”.
- Look for the green triangle (▲) as the first validated recovery trigger after panic.
- Use green ribbon as a recovery regime filter (especially in “State” mode).
- Use amber ribbon as a caution zone (overlap = mixed signals).
This indicator is best used as a context and timing filter, not as a complete trading system by itself.
Notes:
- Designed and tuned for Daily timeframe usage.
- Signals may behave differently on intraday timeframes or illiquid assets.
TG Capital Trident (Strict + Debug) v6 - plotshape fixedthe tg capital 30m timeframe kill zone chart check thing
TG Capital Trident Setup Finder (v6, no-functions)backtest label for FVG setups of the trident pattern which TG capital talks about on chart fanatics
Reverse RSI//@version=6
indicator("Reverse RSI", overlay=false)
rsi_length = input.int(14, title="RSI Length", minval=1)
ob_level = input.int(75, title="Overbought Level")
os_level = input.int(25, title="Oversold Level")
invRSI(target, length) =>
target_rs = target / (100 - target)
up = math.max(close-close , 0)
down = math.max(close -close, 0)
prev_avg_up = ta.rma(up, length)
prev_avg_down = ta.rma(down, length)
price_up = target_rs * (prev_avg_down * (length - 1)) - (prev_avg_up * (length - 1)) + close
price_down = (prev_avg_down * (length - 1) - (prev_avg_up * (length - 1)) / target_rs) + close
current_rsi = ta.rsi(close, length)
price = target > current_rsi ? price_up : price_down
price
price_ob = invRSI(ob_level, rsi_length)
price_mid = invRSI(50, rsi_length)
price_os = invRSI(os_level, rsi_length)
upside = (price_ob-close)/close*100
downside = (close-price_os)/close*100
net = upside-downside
plot(upside, title="Upside Line", color=color.green)
plot(downside, title="Downside Line", color=color.red)
plot(net, title="Net Line", color=net>0?color.new(color.green, 30):color.new(color.red, 30), style=plot.style_columns)
hline(0, "Zero Line")
Vegas Double ChannelThe indicator utilizes the 144 and 169 channels as the minor level, and the 576 and 676 channels as the major level. The EMA12 serves as a filter.
Translation for the complete definition of the “Vegas Double Channel” indicator:
The “Vegas Double Channel” indicator is designed to analyze market trends and identify potential trading opportunities. It employs the following parameters:
Minor Level: The indicator considers the 144 and 169 channels as the minor level, which are used to identify short-term market movements.
Major Level: The 576 and 676 channels are classified as the major level, indicating longer-term market trends.
Filter: The EMA12 (Exponential Moving Average with a period of 12) acts as a filter to smooth out short-term noise and provide a clearer picture of the overall market trend.
SMC Ultra-Fast: ALL-IN & Auto-Signal [Fixed]Entry Points: 🔥 signals occur when buying and selling pressure is 1.5 times stronger than normal and breaks through a key resistance level.
Dynamic S/R Box: This box displays the price at the right edge and will "disappear immediately" if the closing price breaks through the zone, showing only the active support and resistance levels.
TP/SL Targets: Lines are drawn to the right to indicate clear entry and exit points.
Large Marks: When the price hits the target, the system will display large text 🎯 TP SUCCESS or ❌ SL HIT to summarize the trade result.
SMC Ultra-Fast: ALL-IN & Auto-Signal [Fixed]//@version=5
indicator("SMC Ultra-Fast: ALL-IN & Auto-Signal ", overlay=true, max_bars_back=5000)
// ================= Settings =================
group_fast = "Fast Entry Settings"
rr_ratio = input.float(2.0, "Risk:Reward Ratio", group=group_fast)
atr_mult = input.float(1.0, "Tight SL (ATR)", group=group_fast)
line_len = input.int(35, "Line Extension", group=group_fast)
group_vol = "High Volume Accumulation"
vol_look = input.int(100, "Volume Lookback", group=group_vol)
// ================= State Management =================
var float cur_tp = na
var float cur_sl = na
var bool in_trade = false
var line entL = na, var line tpL = na, var line slL = na
var label entLb = na, var label tpLb = na, var label slLb = na
var box res_box = na, var box sup_box = na
var label res_lbl = na, var label sup_lbl = na
// ================= Calculations =================
emaFast = ta.ema(close, 8)
emaSlow = ta.ema(close, 21)
atr = ta.atr(10)
vol_ma = ta.sma(volume, 20)
// --- 1. กล่องแนวรับ-แนวต้าน (High Volume Zones) พร้อมราคา ---
hi_v = ta.highest(high, vol_look)
lo_v = ta.lowest(low, vol_look)
if ta.change(hi_v)
box.delete(res_box), label.delete(res_lbl)
res_box := box.new(bar_index , hi_v, bar_index + 15, hi_v - (atr * 0.3), bgcolor=color.new(color.red, 80), border_color=color.red)
res_lbl := label.new(bar_index + 15, hi_v, "แนวต้าน: " + str.tostring(hi_v, "#.#####"), color=color.red, style=label.style_label_left, textcolor=color.white, size=size.small)
if ta.change(lo_v)
box.delete(sup_box), label.delete(sup_lbl)
sup_box := box.new(bar_index , lo_v, bar_index + 15, lo_v + (atr * 0.3), bgcolor=color.new(color.green, 80), border_color=color.green)
sup_lbl := label.new(bar_index + 15, lo_v, "แนวรับ: " + str.tostring(lo_v, "#.#####"), color=color.green, style=label.style_label_left, textcolor=color.white, size=size.small)
// --- 2. ระบบสีแท่งเทียนแยกเทรนด์ ---
is_bull = close > emaFast and close > emaSlow
is_bear = close < emaFast and close < emaSlow
barcolor(is_bull ? color.green : is_bear ? color.red : color.orange)
// --- 3. สัญญาณ ALL-IN & Extra Buy/Sell (Fast & Precise) ---
ph = ta.pivothigh(high, 2, 2)
pl = ta.pivotlow(low, 2, 2)
var float last_h = na
var float last_l = na
if not na(ph)
last_h := ph
if not na(pl)
last_l := pl
// จุด ALL-IN: เบรค Pivot + เทรนด์ชัด + โวลุ่มสูง
all_in_buy = ta.crossover(close, last_h) and is_bull and volume > vol_ma * 1.2 and not in_trade
all_in_sell = ta.crossunder(close, last_l) and is_bear and volume > vol_ma * 1.2 and not in_trade
// สัญญาณ Buy/Sell เพิ่มเติม (Fast Signals)
fast_buy = ta.crossover(emaFast, emaSlow) and not all_in_buy
fast_sell = ta.crossunder(emaFast, emaSlow) and not all_in_sell
plotshape(fast_buy, "Fast Buy", shape.triangleup, location.belowbar, color.lime, size=size.tiny, title="Fast Buy Signal")
plotshape(fast_sell, "Fast Sell", shape.triangledown, location.abovebar, color.orange, size=size.tiny, title="Fast Sell Signal")
// ================= 4. การจัดการ TP/SL/Entry (Auto-Reset) =================
if all_in_buy or all_in_sell
line.delete(entL), line.delete(tpL), line.delete(slL)
label.delete(entLb), label.delete(tpLb), label.delete(slLb)
float ep = close
cur_sl := all_in_buy ? (low - (atr * atr_mult)) : (high + (atr * atr_mult))
cur_tp := all_in_buy ? (ep + (math.abs(ep-cur_sl) * rr_ratio)) : (ep - (math.abs(ep-cur_sl) * rr_ratio))
in_trade := true
entL := line.new(bar_index, ep, bar_index + line_len, ep, color=color.gray, style=line.style_dashed, width=2)
tpL := line.new(bar_index, cur_tp, bar_index + line_len, cur_tp, color=color.blue, width=2)
slL := line.new(bar_index, cur_sl, bar_index + line_len, cur_sl, color=color.red, width=2)
entLb := label.new(bar_index + line_len, ep, "ENTRY: " + str.tostring(ep, "#.#####"), color=color.gray, style=label.style_label_left, textcolor=color.white)
tpLb := label.new(bar_index + line_len, cur_tp, "TP: " + str.tostring(cur_tp, "#.#####"), color=color.blue, style=label.style_label_left, textcolor=color.white)
slLb := label.new(bar_index + line_len, cur_sl, "SL: " + str.tostring(cur_sl, "#.#####"), color=color.red, style=label.style_label_left, textcolor=color.white)
label.new(bar_index, all_in_buy ? low : high, all_in_buy ? "🔥 ALL-IN BUY" : "🔥 ALL-IN SELL", color=all_in_buy ? color.green : color.red, style=all_in_buy ? label.style_label_up : label.style_label_down, textcolor=color.white)
// ระบบล้างสถานะอัตโนมัติเมื่อชนเป้าหมาย
if in_trade
hit = (high >= cur_tp and cur_tp > cur_sl) or (low <= cur_tp and cur_tp < cur_sl) or (low <= cur_sl and cur_tp > cur_sl) or (high >= cur_sl and cur_tp < cur_sl)
if hit
label.new(bar_index, close, "X", color=color.white, style=label.style_label_center, size=size.small)
in_trade := false
