Turtle God Indicator (Đức Anh Trader)Description:
The Turtle God Indicator is a minimalist tool that provides quick visual feedback on the latest candle's momentum while remaining compliant with TradingView's visual guidelines.
🔹 The turtle appears only on the latest candle, keeping the chart clean and uncluttered.
🔹 Includes a 14-period Simple Moving Average (SMA) to help track trend direction.
🔹 Ideal for traders who want fun, subtle alerts without distracting overlays or indicators.
Inspired by Đức Anh Trader, this playful yet practical indicator is perfect for identifying momentum with a smile. 🐢
Penunjuk dan strategi
Turtle Strategy Pullback EntryThis strategy, titled “Turtle Strategy Pullback Entry”, is a trend-following system designed to capture breakouts more efficiently by entering after a slight pullback. Instead of buying immediately when the price breaks the 20-day high, the strategy waits for the price to pull back by 1% below that high, offering a better entry point and reducing the chances of false breakouts. Once the pullback level is reached, a long position is initiated. The trade is then managed using three exit conditions: it will close if the price drops 1.4% below the entry (acting as a stop loss), if the price rises 1.8% above the entry (taking profit), or if the price closes below the 20-day low, which serves as a trend invalidation signal. The position size is based on 100% of the equity by default, and the chart visually shows the 20-day high, low, and pullback level along with a green background when a position is active. This approach helps traders ride strong trends while avoiding premature entries, making it suitable for swing or position trading across stocks, forex, or crypto markets.
Strategy with DI+/DI-, ADX, RSI, MACD, EMA + Time Stop [EXP. 1]🧠 Concept & Purpose
This strategy combines several time-tested technical indicators—DI+/DI-, ADX, RSI, MACD, and long-term EMAs—to filter trend strength, momentum, and timing precision. The goal was to develop a multi-layered trend-following system suitable for low timeframes (tested on BTCUSDT 5m) while controlling risk with tight stop-losses, a high reward ratio, and a time-based exit to avoid long exposure in sideways markets.
⚙️ Components & Logic
• ADX + DI+/DI-: Confirm the presence and direction of a strong trend.
• RSI: Used to filter momentum bias. Buy signals require RSI > 55, sell signals < 45.
• MACD Histogram: Ensures entry is aligned with short-term momentum shifts.
• Strong Candle Filter: Filters out weak entries using candle body % strength.
• EMA 600 & EMA 2400: Define long-term trend bias. Entries only occur within 25 bars after EMA crossover in trend direction.
• Time-Based Stop: If a trade doesn’t move at least 0.75% in favor within 85 bars, it is closed to minimize stagnation.
• Reward-Risk Management: 1% stop-loss, 7.5:1 reward-to-risk ratio.
• One Signal Per Trend Shift: Only takes the first entry after each EMA cross.
📊 Strategy Settings & Backtest Conditions
• Initial Capital: $10,000
• Commission: 0.1% per trade
• Timeframe: 5-minute
• Test Range: Jan–Apr 2023
• Sample Size: Limited (⚠️ <10 trades – experimental phase)
Backtest Results (v1.0)
This version showed:
• ✅ 66.7% win rate on 3 trades
• 📉 P/L: +11,257.46 USDT (+112.57%)
• 🔻 Max drawdown: 5.03%
• 📈 Profit factor: 11.01
In an earlier test configuration:
• ❌ 5 trades, 0 wins
• 📉 -14.45% total P&L
• ⚠️ All losses hit the 1.5% stop
• ⚠️ Profit factor: 0.00
This contrast shows how sensitive the logic is to market context and parameter tuning.
💡 Purpose of Publication
This strategy is experimental and educational. It is open-sourced for transparency and to help other traders learn how complex indicator stacking may or may not work in real environments. The failed and improved tests are both part of the process.
⚠️ Disclaimer
This script is not financial advice. Please do your own research, forward-test it thoroughly, and adjust parameters based on your asset and timeframe.
Simple 20 SMAThe Simple 20 SMA is a technical analysis indicator that calculates the average closing price of an asset over the last 20 candles (bars). It smooths out short-term price fluctuations to help traders identify the overall trend direction.
How It Works:
It takes the last 20 closing prices, adds them together, and divides by 20.
The result is plotted as a smooth line on the chart, updating with each new candle
Dynamic Sniper ProDynamic Sniper Pro - Binary Options Signal
Description:
Dynamic Sniper Pro is a powerful Pine Script v6 indicator designed for binary options trading. It combines Exponential Moving Averages (EMAs), Relative Strength Index (RSI), and an optional ATR filter to generate precise buy and sell signals. Ideal for short-term charts like 1-minute, this indicator helps traders spot trend reversals and breakouts with clear visual arrows. Tested on CAD/JPY, it recently delivered actionable signals during the morning session on July 01, 2025.
How It Works:
Buy Signal (Green Arrow): Triggered when the closing price exceeds both the 3-period Fast EMA and 8-period Slow EMA, RSI drops below the oversold level (default 40), and (if ATR filter is on) the price breaks above the Slow EMA + 0.15 * ATR. Enter a call option at the next candle open.
Sell Signal (Red Arrow): Triggered when the closing price falls below both EMAs, RSI rises above the overbought level (default 60), and (if ATR filter is on) the price breaks below the Slow EMA - 0.15 * ATR. Enter a put option at the next candle open.
Key Features:
Customizable parameters: Adjust EMA lengths, RSI periods, oversold/overbought levels, and ATR multiplier.
Optional ATR filter to reduce whipsaw entries.
Visual alerts with arrows and background highlights.
Compatible with any forex pair or timeframe—optimize for your strategy!
Settings:
Fast EMA Length: 3 (short-term trend)
Slow EMA Length: 8 (trend confirmation)
RSI Length: 14 (default smoothness)
Oversold Level: 40 (tweak for sensitivity)
Overbought Level: 60 (tweak for sensitivity)
Use ATR Filter: True (optional)
ATR Length: 14
ATR Multiplier: 0.3 (adjust for breakout strength)
Performance:
Backtesting on CAD/JPY 1-minute from 10:34–11:34 AM PDT on July 01, 2025, showed promising signal frequency. Results may vary—test on your preferred asset.
Tips:
Set alerts via the "Alerts" tab for real-time notifications.
Adjust oversold/overbought levels (e.g., 45/55) for fewer/more signals.
Best on volatile pairs like CAD/JPY or EUR/USD.
Disclaimer:
This indicator is for educational purposes only. Past performance is not indicative of future results. Use at your own risk, and consider market conditions and risk management.
CMF Tilson Scalper (1m Optimized)Calculates CMF and smoothens it based on Tilson MA and then sets buy sone > 0 and sell zone < 0
Candle Pattern Detector By Prashanth
Bullish Signal (🟢 below candle):
Plotted when any of the following occur:
✅ Bullish Engulfing
✅ Bullish Three-Line Strike
✅ Bottom wick ≥ % threshold (default: 80%)
Bearish Signal (🔴 above candle):
Plotted when any of the following occur:
❌ Bearish Engulfing
❌ Bearish Three-Line Strike
❌ Top wick ≥ % threshold (default: 80%)
Only one signal per candle (🟢 or 🔴)
If both bullish and bearish conditions happen on same candle → no signal
Helps simplify visual clutter while scanning for strong candle patterns
OTE+STDV MultiTF IndicatorVERY ROUGH DRAFT OF INDICATOR EXPECTS BUGS. I AM NOT A CODER SO THIS SHOULD NOT BE PERFECT.
Place limit orders on yellow lines. You will get a buy signal only during perfect A+ setups.
PLEASE MESSAGE ME IF YOU ARE A CODER AND CAN FIX THIS OR MAKE IT BETTER
Discord: itscwiby
Orange Lines are Rejection Zones
Yellow Lines are Limit order spots. Usually you want to take this with a 40 tick SL. You can also use a Fib tool on the green box to get a better entry.
Generally you want to look at the 30m chart or higher for these zones and find a optimal entry on a smaller timeframe.
Info TablesThis indicator provides two clear tables showing key market metrics, helping you make sense of price action. Each metric is chosen to give you practical insights, and you can customize the display to fit your needs.
## Key Features and Why Metrics Matter
### Main Table Metrics
- **ML-Predicted Price**:
- **What**: A price forecast based on a machine learning model using past price, volume, and RSI data.
- **Why**: Shows where the market might head, helping you gauge if the current price is too high or low compared to the prediction. Useful for spotting potential reversals or continuations.
- **Deviation %**:
- **What**: The percentage difference between the current price and the predicted price.
- **Why**: Tells you how far the market is straying from the ML forecast. A large deviation might suggest overbought/oversold conditions or a trend shift.
- **VWAP Deviation %**:
- **What**: The percentage difference between the current price and the Volume Weighted Average Price (VWAP).
- **Why**: VWAP is a benchmark for fair price; deviation shows if the market is stretched above or below this level, aiding entries or exits.
- **FRED UNRATE % Change**:
- **What**: The percentage change in the U.S. unemployment rate from FRED data.
- **Why**: Offers macro context. Rising unemployment can signal economic weakness, impacting market sentiment, while falling rates may boost confidence.
- **Open Interest**:
- **What**: The total number of open futures contracts for MESM2.
- **Why**: High open interest indicates strong market participation, often tied to liquidity and conviction. Low levels might suggest indecision or lack of commitment.
- **COT Commercial Long/Short**:
- **What**: Commitment of Traders (COT) data showing commercial traders’ long and short positions.
- **Why**: Reveals how big players (hedgers) are positioned. More longs than shorts can hint at bullish sentiment, while more shorts suggest bearish views.
### New Metrics Table
- **QQE Bias**:
- **What**: A momentum indicator based on a smoothed RSI with trailing stops.
- **Why**: Highlights bullish (green) or bearish (red) momentum, helping you confirm short-term trade directions or avoid choppy markets (gray).
- **Volume Momentum**:
- **What**: A score (1–20) comparing current volume to past volume over a lookback period.
- **Why**: High scores indicate strong buying/selling pressure, signaling potential breakouts or reversals. Low scores suggest weak participation.
- **ATR Volatility**:
- **What**: A score (1–20) based on the Average True Range, measuring price volatility.
- **Why**: High volatility warns of larger price swings, useful for setting stop-losses or avoiding trades in choppy conditions. Low volatility may indicate consolidation.
- **ADX Trend**:
- **What**: The Average Directional Index, measuring trend strength.
- **Why**: High ADX values confirm strong trends, guiding you to trade with the trend. Low values suggest range-bound markets, better for mean-reversion strategies.
- **RSI**:
- **What**: Relative Strength Index, showing overbought (>70) or oversold (<30) conditions.
- **Why**: Helps identify potential reversal points or confirm momentum. Useful for timing entries in overextended markets.
- **Frahm Volatility**:
- **What**: A score (1–20) based on true range over a time window (e.g., 24 hours).
- **Why**: Measures short-term volatility, helping you adjust position sizes or avoid trading during erratic price moves.
- **Frahm Avg Candle (Ticks)**:
- **What**: The average candle size in ticks over the same time window.
- **Why**: Indicates typical price movement, useful for setting realistic profit targets or stop-losses based on recent market behavior.
### Additional Features
- **Plotted Predicted Price**:
- **What**: An optional line showing the ML-predicted price on the chart.
- **Why**: Lets you visually compare the predicted price to actual price action, making it easier to spot divergence or alignment.
- **Custom Gradient Colors**:
- **What**: User-defined colors for high/low values in both tables.
- **Why**: Makes it quick to see which metrics are at extremes (e.g., high deviation or strong ADX), improving decision-making under pressure.
- **Alerts**:
- **What**: Notifications for high/low Frahm volatility and bullish/bearish QQE Bias.
- **Why**: Keeps you informed of critical changes (e.g., volatility spikes or momentum shifts) without needing to watch the chart constantly.
## Customization Options
- **ML Matrix Inputs**:
- Adjust the **ML Lookback Period** (e.g., 200–300 for volatile markets, 1000 for trends) to control how much history the ML model uses.
- Set the **ML RSI Period** (e.g., 7–10 for fast markets, 20 for calm) to tweak the RSI’s sensitivity in the prediction.
- **Plot Settings**:
- Toggle the predicted price line and choose its color (default blue) for clear visibility.
- **Table Settings**:
- Position tables (top/bottom, left/center/right) and show/hide them to focus on what matters.
- **Gradient Color Settings**:
- Pick colors for high/low values in each table to match your chart or preferences.
- **Timeframe & Thresholds**:
- Set specific timeframes (e.g., 5-minute for smoother data) and thresholds (e.g., tighter deviation ranges) for each metric to suit your trading style.
## Ideal Use Case
This indicator is perfect for MESM2 traders navigating fast-moving markets. The Main Table gives you a big-picture view (predicted price, macro data, and positioning), while the New Metrics Table zooms in on momentum and volatility, ideal for scalping or trend trades. Use it to confirm entries, set stops, or avoid choppy periods.
## Why It’s Valuable
The **ML Matrix - Tables Only** puts essential data at your fingertips. Each metric is selected to answer a specific question—Is the price overextended? Is momentum building? Are big players bullish? Are conditions too volatile?—helping you trade with clarity and confidence, whether you’re catching quick moves or riding longer trends.
WMA cross with filtered Signals [Dr.K.C.Prakash]WMA cross with filtered Signals
📌 Description
This indicator is designed to generate trend-filtered Buy and Sell signals based on the crossover of two Weighted Moving Averages (WMAs), with confirmation from a long-term EMA trend filter.
It helps traders avoid false signals in choppy markets by trading only in the direction of the broader trend.
✅ Features
Fast WMA (?) and Slow WMA (?)
Core crossover logic for detecting local trend shifts.
EMA Trend Filter (?)
Confirms overall trend direction.
Buy signals only occur when price is above the EMA ? (uptrend).
Sell signals only occur when price is below the EMA ? (downtrend).
Signal Markers on Chart
BUY label below bar for valid bullish crossovers.
SELL label above bar for valid bearish crossunders.
EMA 200 Line
Clearly plotted to visualize the trend filter level.
Customizable Length Inputs
Users can adjust Fast WMA, Slow WMA, and EMA filter length.
Lines for both WMAs and the EMA trend filter.
Signal labels on valid Buy/Sell events.
✅ Use Cases
Trend-following traders who want cleaner entries.
Avoiding counter-trend signals.
Works on any timeframe (but EMA 200 is best for larger trend context).
Order Blocks v2Order Blocks v2 – Smart OB Detection with Time & FVG Filters
Order Blocks v2 is an advanced tool designed to identify potential institutional footprints in the market by dynamically plotting bullish and bearish order blocks.
This indicator refines classic OB logic by combining:
Fractal-based break conditions
Time-level filtering (Power of 3)
Optional Fair Value Gap (FVG) confirmation
Real-time plotting and auto-invalidation
Perfect for traders using ICT, Smart Money, or algorithmic timing models like Hopplipka.
🧠 What the indicator does
Detects order blocks after break of bullish/bearish fractals
Supports 3-bar or 5-bar fractal structures
Allows OB detection based on close breaks or high/low breaks
Optionally confirms OBs only if followed by a Fair Value Gap within N candles
Filters OBs based on specific time levels (3, 7, 11, 14) — core anchors in many algorithmic models
Automatically deletes invalidated OBs once price closes through the zone
⚙️ How it works
The indicator:
Tracks local fractal highs/lows
Once a fractal is broken by price, it backtracks to identify the best OB candle (highest bullish or lowest bearish)
Validates the level by checking:
OB type logic (close or HL break)
Time stamp match with algorithmic time anchors (e.g. 3, 7, 11, 14 – known from the Power of 3 concept)
Optional FVG confirmation after OB
Plots OB zones as lines (body or wick-based) and removes them if invalidated by a candle close
This ensures traders see only valid, active levels — removing noise from broken or out-of-context zones.
🔧 Customization
Choose 3-bar or 5-bar fractals
OB detection type: close break or HL break
Enable/disable OBs only on times 3, 7, 11, 14 (Hopplipka style)
Optional: require nearby FVG for validation
Line style: solid, dashed, or dotted
Adjust OB length, width, color, and use body or wick for OB height
🚀 How to use it
Add the script to your chart
Choose your preferred OB detection mode and filters
Use plotted OB zones to:
Anticipate price rejections and reversals
Validate Smart Money or ICT-based entry zones
Align setups with algorithmic time sequences (3, 7, 11, 14)
Filter out invalid OBs automatically, keeping your chart clean
The tool is useful on any timeframe but performs best when combined with a liquidity-based or time-anchored trading model.
💡 What makes it original
Combines fractal logic with OB confirmation and time anchors
Implements time-based filtering inspired by Hopplipka’s interpretation of the "Power of 3"
Allows OB validation via optional FVG follow-up — rarely available in public indicators
Auto-cleans invalidated OBs to reduce clutter
Designed to reflect market structure logic used by institutions and algorithms
💬 Why it’s worth using
Order Blocks v2 simplifies one of the most nuanced parts of SMC: identifying clean and high-probability OBs.
It removes subjectivity, adds clear timing logic, and integrates optional confluence tools — like FVG.
For traders serious about algorithmic-level structure and clean setups, this tool delivers both logic and clarity.
⚠️ Important
This indicator:
Is not a signal generator or financial advice tool
Is intended for experienced traders using OB/SMC/time-based logic
Does not predict market direction — it provides visual structural levels only
Crossing AveragesWe averages are crossing, volume increases. This script aims to plot the price relative to the averages that are crossing. If price markers are below the average lines, that usually indicates weakness.
Z-Score Pairs Trading Composite
z-score
Description (한글)
이 지표는 BTC/ETH 가격 비율의 Z-Score와 개별 자산(BTC, ETH)의 RSI를 동시에 계산하여, 시장의 추세 강도와 과매수·과매도 구간을 한눈에 파악할 수 있는 통합 전략 대시보드를 제공합니다.
사용자 정의 가능한 기간(length) 및 진입·청산 임계값(threshold) 설정
캔들 차트 위에 오버레이 형태로 표시
트레이딩뷰 기본 툴바 및 알림 기능 완벽 호환
Description (English)
This indicator delivers an integrated strategy dashboard by calculating both the Z-Score of the BTC/ETH price ratio and the RSI of each asset (BTC, ETH), enabling you to visualize market trend strength and overbought/oversold conditions at a glance.
Customizable length and entry/exit threshold settings
Overlay display directly on your candlestick chart
Fully compatible with TradingView’s toolbar and alert system
ETF Leverage VerificationDo leveraged ETFs really return what they promise?
Do they return the exact 2x or 3x? Or a slightly different multiple?
How much do they deviate from the promised leverage multiples?
Do these deviations impact investors in a positive or negative manner?
These are the questions that I want to answer with this indicator.
The ETF Leverage Verification indicator challenges the conventional understanding of leveraged ETFs by measuring how they actually perform versus their theoretical targets.
Instead of assuming leveraged ETFs perfectly track their target multiple, this indicator quantifies the real-world behavior by comparing the expected returns versus the actual results on every trading day.
Key Features
Measures actual versus expected performance of leveraged ETFs
Tracks deviation patterns across thousands of trading days
Identifies asymmetric behavior in up versus down markets
Quantifies beneficial "cushioning effect" during market declines
Provides statistical summary of performance patterns
Works with any leverage factor (2x, 3x, -1x, etc.)
Compatible with all leveraged ETFs (equity, bond, commodity, volatility)
How to Use the Indicator
Enter the Expected Leverage Factor (default: 2.0)
Select the Base Asset (underlying index, e.g., SPX)
Select the Leveraged Asset (leveraged ETF, e.g., SSO)
Understanding the Results
Green markers: Days when the ETF outperformed its expected multiple
Red markers: Days when the ETF underperformed its expected multiple
Data Table:
Positive Deviations: Count of days with better-than-expected performance
Negative Deviations: Count of days with worse-than-expected performance
Avg Deviation: Average magnitude of deviation from expected returns
Frequency Skew: Difference between beneficial deviations in down vs. up markets
Impact: Overall assessment of pattern benefit to investors
Summary Label:
Percentage of positive deviations in up and down markets
Total sample size for statistical significance
Key Patterns to Look For
Positive Deviation in Negative Days:
This occurs when a leveraged ETF falls less than expected during market declines. For example, if SPX falls 1% and a 2x ETF falls only 1.8% (instead of the expected 2%), this creates a +0.2% deviation. This pattern is beneficial as it provides downside protection.
Negative Deviation in Positive Days:
This happens when a leveraged ETF rises less than expected during market advances. For example, if SPX rises 1% and a 2x ETF rises only 1.9% (instead of the expected 2%), this creates a -0.1% deviation. This pattern reduces upside performance.
Frequency Skew:
The most critical metric that measures how much more frequently beneficial deviations occur in down markets compared to up markets. A higher positive skew indicates a stronger asymmetric pattern that helps long-term performance.
Mathematical Background
The indicator computes the deviation between expected and actual performance:
Deviation = Actual Return - Expected Return
Where:
Expected Return = Base Asset Return × Leverage Factor
The deviation is then categorized into four possible outcomes:
Positive deviation on positive market days
Negative deviation on positive market days
Positive deviation on negative market days
Negative deviation on negative market days
In short, more positive deviations are good for investors.
Please feel free to criticize. I'm happy to improve the indicator.
Z-Score + Momentum Strategy (Filtered)✅ What the script does:
Calculates the Z-Score of price with EMA smoothing.
Calculates Momentum as the difference between the current price and the price n bars ago.
Generates signals:
Buy: When the Z-Score is rising and relatively positive, and momentum is increasing.
Sell: When the Z-Score is falling, and momentum is decreasing.
Plots BUY and SELL labels on the candles.
Provides alerts that can be activated from the TradingView settings.
Displays Z-Score and Momentum in the lower pane of the chart.
🎯 How to use the script:
Copy the code into the Pine Editor on TradingView.
Click "Add to Chart".
Enable alerts using the alertcondition settings.
You can modify the following parameters:
Z-Score period: length
Momentum lookback period: momentumLength
Z-Score entry threshold: threshold
Custom Signal v1 - Ivan - Strict One Arrowtrend following indicator, do buy or sell with m15 chart on xau/usd
Price × Volume TableIt creates a table showing:
1- Daily Close × Daily Volume
2- Current Close × Current Volume
3- Close × Highest Volume (last 360 candles)
Squeeze Breakout Pro🔥 What This Script Does
This is a Breakout Strength Scanner with Squeeze + Pattern Range + Volume Confirmation + Risk Management + Take Profits.
✅ Core Functions:
Squeeze Detector:
Finds low volatility zones using Bollinger Band width compression.
Marks them with a “Squeeze” label — this signals that a big move is likely coming soon.
Pattern Range Detection:
Automatically identifies recent pivot highs (resistance) and pivot lows (support) using the pivotLen.
Draws the current consolidation range visually with horizontal lines.
Breakout Confirmation:
Requires:
✅ A break above resistance or below support.
✅ Confirmed with above-average volume.
✅ Must occur while in a volatility squeeze.
Plots arrows:
🔼 Green Up Arrow = Confirmed Bullish Breakout.
🔽 Red Down Arrow = Confirmed Bearish Breakout.
Trade Management Built-In:
Stop Loss: Just beyond the opposite side of the pattern range.
Take Profits:
✅ TP1 = 1.5x risk.
✅ TP2 = 2x risk.
Position Size Calculator:
Based on your input account size (accountBal) and risk percentage (riskPct).
Shows how many contracts, shares, or units to buy/sell to risk exactly that % of your account.
Higher Timeframe Trend Filter:
Default is 4-hour trend filter (can be changed).
✅ Only shows if the higher timeframe trend is Bullish (EMA50 > EMA200) or Bearish.
Displayed on the dashboard.
📊 How to Use It Step-By-Step
🟧 1. Look for a Squeeze:
A “Squeeze” label will appear.
This means price is coiled tight — a breakout is likely.
🟩 2. Wait for a Breakout Arrow:
🔼 Green Arrow: Bullish breakout (price breaks resistance + volume confirms + squeeze active).
🔽 Red Arrow: Bearish breakout (price breaks support + volume confirms + squeeze active).
🟥 3. Check the Dashboard:
✅ Trend Bias: Should ideally match your breakout.
If the higher timeframe is Bullish, long breakouts have better odds.
If Bearish, short breakouts are higher probability.
✅ Vol Confirm: Will say “Yes” if the volume condition is met.
🏹 4. Manage the Trade (Auto Levels):
The script draws:
🔴 Stop Loss Line (below range for longs, above for shorts).
🟢 Take Profit 1 (1.5x risk).
🟢 Take Profit 2 (2x risk).
Use these as guidelines for exits.
💰 5. Use Position Size Display:
Check the TP and SL distances and the suggested position size based on your account balance and risk percentage.
🚀 Pro Tips for Maximum Success
✅ Use Trend Confluence:
Only trade long breakouts when the higher timeframe trend is Bullish (EMA50 > EMA200).
Only trade short breakouts when the higher timeframe trend is Bearish.
✅ Avoid Fakeouts:
If a breakout arrow forms but the candle closes far away from the pattern breakout — wait for a retest or confirmation.
Higher volume + clean breakout works better than low-volume squeezes.
✅ Best Timeframes:
4H to Daily: For swing trades.
15m to 1H: For intraday trades (adjust htf to "240" for 4H trend confirmation even on lower charts).
✅ Increase Win Rate:
Use this script with key support/resistance zones, weekly ranges, or fib retracements.
Breakouts that happen near macro key levels have the highest follow-through.
✅ Set Alerts:
Right-click the breakout arrow or use alertcondition() events in the script.
Set alerts for:
📈 Breakout UP
📉 Breakout DOWN
🏹 Squeeze Active (prep for breakout)
✅ Walk Away Once In:
Let TP1 or TP2 hit.
Or move stop to breakeven after TP1 hits for free runners.
🔥 What Makes This Script Powerful:
Combines price action (pattern range) + volatility squeeze + volume confirmation + trend bias + risk management.
Most traders use these individually. This does it all in one clean tool.
💎 Professional Edge:
This is the type of script that turns reactive trading into systematic trading. No guessing. Clean rules. Repeatable.
TRAMA Cross Pivot Points📌 Description: TRAMA Cross Pivot Points
This indicator combines the powerful Trend Regularity Adaptive Moving Average (TRAMA) with dynamic pivot point.
🔍 What It Does:
Calculates a long-term TRAMA (default length 278) to filter trend direction and smooth volatility. I mostly use the lengths 20, 50, 100, 200, 278, and 314 to mark areas of retest.
Detects bullish and bearish price crossovers above and below the TRAMA.
Plots real-time pivot levels when a crossover occurs.
Draws a dashed horizontal pivot line only at the most recent crossover, keeping your chart clean and focused.
Includes alert conditions so you never miss a strategic moment.
⚙️ How It Works:
Bullish TRAMA Cross: When price crosses above the TRAMA, the script:
Calculates a potential pivot low using DM-style Logic.
Plots a green dashed line at that pivot level.
Optionally triggers an alert.
Bearish TRAMA Cross: When price crosses below the TRAMA:
A pivot high is calculated and plotted as a red dashed line.
Optional alert lets you know of a possible top.
📈 Pivot Logic:
Uses real-time candle data (OHLC) to adjust pivot points dynamically.
These pivots can act as potential support/resistance levels or entry zones.
🔔 Alerts:
Triggered when price crosses the TRAMA up or down.
Ideal for traders looking to enter on structure-based momentum.
BTC Correlation CoefficientThe BTCUSDT Correlation Coefficient indicator measures the strength and direction of the relationship between the selected asset (e.g., a stock or altcoin) and the price of BTCUSDT over a chosen time period. It uses a custom correlation function to calculate how closely the asset's price movements align with Bitcoin, returning a value between -1 and +1. A coefficient near +1 indicates strong positive correlation, while values near -1 indicate inverse correlation. This helps traders assess whether the asset tends to follow Bitcoin’s price trends or behave independently, enabling more informed decisions on portfolio diversification and market sentiment alignment.
