Quant_DCA**Quant_DCA - Smart Dollar-Cost Averaging with Dynamic Position Sizing**
Designed for SPY,QQQ,BTC
Transform your DCA strategy with intelligent dip-buying. Instead of buying a fixed amount every week, Quant_DCA identifies quality dips and scales position sizes dynamically - buying more during significant corrections.
**✨ KEY FEATURES**
• 4% Minimum Threshold - Quality dips only, eliminates noise
• Volume Confirmation - Requires 2x average volume spike
• Volatility Confirmation - ATR and StdDev elevation required
• 9-Tier Multiplier System - 1x to 20x based on dip severity
• Conservative Risk - Max 20x multiplier, not extreme
• Capital Efficient - Deploys ~60% of DCA capital, not 2-3x more
• Real-Time Comparison - See DCA vs Quant performance live
• Color-Coded Signals - Visual strength indicators
• Smart Alerts - Detailed execution instructions
**💰 POSITION SIZING**
4% dip → 1.0x
7.5% dip → 2.0x
10% dip → 2.8x
17% dip → 5.5x
28% dip → 10.5x
35% dip → 15.0x
Max → 20.0x
**📈 EXPECTED RESULTS (Realistic)**
Based on QQQ 4H, 2022-2024 backtest:
✅ +10-20% share advantage vs DCA
✅ 15-20% better average cost
✅ ~60% capital deployment (similar to DCA)
✅ 30-45 quality signals per year
✅ +15-30% ROI advantage over 5-10 years
**💡 CAPITAL REQUIREMENTS**
**⚙️ QUICK START**
1. Add to QQQ 4H chart (optimized timeframe)
2. Keep default settings (pre-optimized)
3. Backtest from 2022-01-01 to present
4. Verify 10-20% share advantage shown
5. Create alerts for buy signals
6. Start with 50% position size
7. Execute ALL signals for 3 months
8. Scale to 100% after confidence built
**🎯 WHO IS THIS FOR**
✅ Long-term investors (5+ year horizon)
✅ Accounts $25k+ (preferably $50k+)
✅ Those wanting better DCA results
✅ Disciplined traders who execute all signals
✅ Comfortable buying during crashes
✅ SPY/QQQ/GLD/BTC or any Index that always goes up over the long period of time
❌ NOT for: Day traders
**⚠️ IMPORTANT DISCLAIMERS**
• works best in volatile conditions
• Requires 75%+ signal execution to achieve results
• Need liquid reserves (5x max buy) ready at all times
• Some years will lag DCA (wins over full market cycles)
• Past performance does not guarantee future results
• This is NOT financial advice - educational purposes only
• Always do your own research and consult a financial advisor
**🔧 SETTINGS**
Pre-optimized for QQQ 4H timeframe. All settings are customizable:
Dip Detection:
• Min Dip: 4.0% (adjustable 1-10%)
• Lookback: 10 bars
• Fast EMA: 20 / Slow EMA: 50
• Volume: 2.0x threshold
• Volatility: 1.5x threshold
Multipliers:
• 9 customizable tiers
• Conservative 1-20x range
• Exponential scaling
Strategy:
• Base: $1,000 (match your DCA)
• DCA Frequency: Weekly
• Start Date: Any backtest period
**📊 RESULTS TABLE**
Real-time metrics displayed:
• Portfolio values (DCA vs Quant)
• ROI percentages
• Capital deployed (with ratio)
• Share counts (with advantage %)
• Average cost per share
• Buy frequency and averages
• Winner declaration
**💡 PRO TIPS**
1. Execute within 1 hour of signal
2. Keep 5x max buy in liquid reserves
3. Don't skip signals - even small dips matter
4. Track actual vs backtest monthly
5. Think long-term (5-10 years)
6. Accept that some years lag DCA
7. Start conservative (50% size)
8. Build to 100% over time
**🎓 WHY THIS WORKS**
Academic research shows buying dips beats random timing over long periods:
• Price advantage from buying declines
• Psychological edge (buy fear)
• Mean reversion tendency
• Volume spikes mark capitulation
• Volatility premium rewards patience
Quant_DCA systematizes this with objective rules, quality filters, and conservative position sizing.
**📝 VERSION INFO**
Version: 1.0 - Balanced Edition
License: Mozilla Public License 2.0
Author: Sahebson
Optimized For: QQQ 4H timeframe
**💬 FEEDBACK WELCOME**
Share your backtest results or real-world performance in the comments! Questions? Ask below.
Like this indicator? Give it a boost! 👍
Have suggestions? Comment! 💬
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*Disclaimer: This indicator is for educational purposes only and does not constitute financial advice. Trading involves risk of loss. Past performance does not guarantee future results. Always do your own research and consult with a qualified financial advisor before making investment decisions. The author is not responsible for any trading losses incurred using this indicator.*
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**Tags:** #DCA #SmartInvesting #DipBuying #QQQ #LongTerm #PositionSizing #RiskManagement #TradingStrategy
Educational
Body Close Continuity & failure Backtesting @MaxMaseratiThis indicator, is a highly advanced institutional-grade tool designed to track the "lifespan" of a trend based on Body Close (BC) sequences.
Unlike basic indicators that just show direction, this script analyzes the structural integrity of a trend by monitoring how many candles continue the move before a "Touch" (retest) or a "Break" (failure) occurs.
The Continuity & Failure Stats indicator tracks sequences of Bullish Body Closes (BuBC) and Bearish Body Closes (BeBC). It measures three critical phases: Building (pure momentum), Touching (price retesting the low/high of the sequence), and Resumption (price continuing the trend after a retest). It provides a statistical distribution of how long these "buildings" typically last before failing, allowing traders to know exactly when a trend is overextended.
This comprehensive analysis blends the statistical breakdown of the Continuity & Failure Stats indicator to provide a deep understanding of the structural momentum for the S&P 500 E-mini (ES1!) on a 4-hour timeframe.
1. Extensive Table Breakdown
A. Building Distribution (Left Table): The Fatigue Gauge
This table acts as a histogram of momentum, tracking the "Building Count"—the number of consecutive candles closing in a trend without price returning to its origin.
Count Column: Represents the streak length (e.g., 1, 2, or 3 candles).
Touch Column: Shows how many times a streak was interrupted by a retest ("touch") but remained structurally intact.
Break Column: Counts total structural failures where price closed beyond the sequence's anchor.
Data Insight: For BuBC, 92 sequences reached Count 1, but only 28 remained by Count 4. This reveals a steep momentum decay after the 3rd candle, establishing a "Statistical Wall" where only 2 sequences in history reached a count of 9.
B. MMM Summary Stats (Top Right): The Mathematical DNA
This table provides the "Expected Value" and behavior of a trend over the lookback period.
Avg Building (2.39 for BuBC): On average, a bullish move lasts ~2.4 candles of pure momentum before a retest or reversal occurs.
Avg Touches (0.8): This low number indicates "clean" trends that rarely wobble back to retest levels multiple times before reaching a conclusion.
Avg R Cycles (0.55): This suggests that once a bullish trend is interrupted, it only successfully resumes its momentum about half the time.
Max R Count (1): Typically, once a trend is "touched," it only manages one more push before failing.
C. Multi-Timeframe (MTF) Quick Stats (Bottom Right): Trend Weight
This compares the 4H chart against other layers of the market to identify "global" alignment.
Sample Comparison: There are 3,594 tracked BuBC sequences on the 4H compared to only 142 on the Weekly chart.
Fractal Law: The Avg Building (2.4) is consistent across several timeframes, implying that the "Rule of Three" (momentum fading after 3 candles) is a fractal characteristic of this asset.
2. Table Comparison: Synthesizing the Data
To trade effectively, you must compare Distribution (timing) against Summary Stats (averages):
Continuity vs. Failure: The Summary Stats show an average building of 2.39. When checking the Distribution table at Count 2, the "Break" count (58) is already high relative to the "Total". This confirms that the risk of failure increases exponentially the moment you exceed the average.
Momentum vs. Mean Reversion: Distribution tells you when a trend is "tired". If the 4H is at a "Building Count 4" (statistically overextended) while the Weekly chart is at "Building Count 1" (fresh momentum), you may choose to prioritize the higher timeframe's strength despite the local overextension.
3. Strategic Summary & Application
This indicator proves that market momentum follows a predictable "Building" cycle rather than an infinite streak.
The "Rule of Three" for ES1! 4H:
The Entry Zone (Momentum Start): The most profitable entries occur at Building Count 1. Statistically, you have a high probability of reaching a count of 2 or 3.
The Exit Zone (Momentum Limit): Take profits or tighten stops at Count 3. The data shows the sample size drops by nearly 50% between Count 3 and Count 4.
The "Touch" Rule (Retest Reliability): If price returns to the sequence low (a "Touch"), do not expect a massive continuation. The Max R Count of 1 tells us that resumptions are usually short-lived.
Danger Zone: Entering at Building Count 4 or higher is statistically dangerous, as the "Break" probability significantly outweighs the "Touch" or continuation probability.
Long Short Trading System With TableSmart Trading System Pro is an advanced TradingView indicator designed for precision and clarity.
It combines Order Blocks, Liquidity Zones, EMA trend alignment, MACD, RSI, Volume, and ATR-based risk management to generate high-quality LONG / SHORT signals.
🔹 Clear trade direction
🔹 Smart entry, stop-loss & multi-level take-profit
🔹 Automatic risk/reward & leverage calculation
🔹 Clean visual dashboard for fast decision-making
Built for traders who value structure, confirmation, and risk control.
Best suited for crypto, forex, and indices on all timeframes.
Disclaimer:
This indicator is for educational and informational purposes only and does not constitute financial advice.
Trading involves risk, and past performance does not guarantee future results.
You are solely responsible for your trading decisions and outcomes.
ALIEN WARP CORE [ULTIMATE] ALIEN WARP CORE is a multi-engine oscillator designed for chart analysis and visual clarity.
It lets you switch between several popular momentum engines and provides consistent visuals, optional filters, and clear signal markers.
What it includes
Multiple engines (selectable): Laguerre RSI, Connors RSI, Stochastic RSI, MFI, TDI, Standard RSI, and MACD (MT5-style).
Two-line systems: Signal line support in Stoch RSI / TDI / Standard RSI / MACD modes.
Trinity Color Logic: A dynamic gradient that helps visualize momentum bias (sell → neutral → buy).
Optional visual layers: “Nebula mist” bands and background warp color for easier reading.
Signals & markers: Buy/Sell labels, divergence markers, and midline retest markers (optional).
Filters (optional)
This script can apply extra confirmation filters:
EMA 200 trend filter
Momentum EMA filter (EMA 10 vs EMA 12)
ADX strength filter
RSI “safety” filter (blocks buys in extreme overbought, blocks sells in extreme oversold)
You can also enable Specific Signals for Standard RSI and MACD crossovers.
If Bypass Global Filters is enabled, those crossover signals can work independently from EMA/ADX filters.
How to use
Choose your preferred Engine in the settings.
Adjust lengths and visuals (line width, solid/gradient, mist opacity).
Enable filters if you want fewer signals and more confirmation.
Use divergence and retest markers as context, not as standalone trade triggers.
Important notes
This indicator is for educational and informational purposes only and does not provide financial advice.
Signals are not guaranteed and may repaint visually around pivot-based divergence detection.
Always backtest and combine with your own risk management.
SMC SNI LAP ULTRA This indicator is a multi-tool market-structure and confluence signal assistant designed for EDUCATIONAL PURPOSES ONLY. It combines Smart Money Concepts (SMC) and classic technical confirmations to help visualize context, zones, and potential trade ideas.
What it shows
• Market Structure: Swing/Internal pivots, BOS / CHoCH / MSS labels and structure lines
• Liquidity Concepts: EQH/EQL style areas and liquidity sweep detection (when enabled)
• Zones & Areas of Interest: Supply/Demand, Order Blocks (OB), Fair Value Gaps (FVG) and key levels (depending on settings)
• Confirmation Tools: Pin bar / engulfing patterns, RSI-based filters and optional divergence
• Confluence Scoring (AI-like): A rule-based scoring system that weights multiple conditions (trend alignment, momentum strength, volume spike, sweep, zone location, RR quality, etc.)
• Risk Visualization: Optional Entry / TP / SL guide lines based on selected TP/SL modes and RR settings
• Alerts: Optional alerts that can be used for notifications or webhook integrations (signals only)
About “AI” / Scoring
The “AI” features in this script are NOT machine learning and do NOT predict the future. They are rule-based calculations that assign a score from multiple factors and track simple win/loss statistics based on user-defined TP/SL logic. Results depend on market conditions and your settings.
Important Disclaimer
This indicator does NOT provide financial advice and does NOT guarantee profits. Trading involves risk and you can lose money. Any signals, scores, or projections are informational and for research/testing only. Always do your own analysis, manage risk properly, and consider using a demo account for evaluation.
Recommended Use
Use it as a context tool:
1) Identify structure (BOS/CHoCH) and trend bias
2) Mark zones (OB/FVG/Supply-Demand)
3) Wait for confirmation (candle patterns, RSI/divergence, volume, etc.)
4) Use the scoring as a filter—not as a guarantee
If you need automated execution, connect alerts to your own external system at your own responsibility. This script itself is an indicator (not an auto-trading system).
Triangles [Bulkowski v6]Title: Ascending & Descending Triangles (v6)
Description:
Overview This indicator automates the detection of Ascending and Descending Triangles, two of the most reliable chart patterns documented in Thomas Bulkowski’s Encyclopedia of Chart Patterns. By utilizing Pine Script v6 and an Object-Oriented architecture, this tool scans market structure in real-time to identify valid "Flat Limit" setups that manual charting often misses.
The Theory: How It Works Pattern recognition is often subjective. This script removes the guesswork by applying strict algorithmic rules based on Bulkowski’s statistical findings:
Ascending Triangles (Green): The script looks for a "Flat Top" (Resistance) where price hits a similar level multiple times, coupled with "Rising Bottoms" (Higher Lows). This creates a squeeze indicating potential bullish accumulation.
Descending Triangles (Red): The script looks for a "Flat Bottom" (Support), coupled with "Falling Tops" (Lower Highs). This indicates sellers are becoming more aggressive while buyers are barely holding the floor.
Key Features
Smart "Flatness" Detection: Markets are rarely perfect. The script includes a Tolerance (%) input, allowing you to define how "flat" a resistance or support line must be to qualify.
Strict Trend Validation: It checks for rising or falling pivots specifically within the timeframe of the flat level, ensuring the geometry of the triangle is valid.
Pine Script v6 Architecture: Built using the latest User-Defined Types (UDTs) and Methods for optimized performance and memory management.
Historical Logging: Draws patterns on historical data (within the buffer limit) so you can backtest the visual reliability of the signals.
Settings & How to Use
Pivot Left / Pivot Right: Determines the "size" of the pattern.
Lower values (5-10): Finds smaller, intraday triangles.
Higher values (15-20): Finds macro, swing-trading structures.
Flatness Tolerance (%): The most critical setting.
Default (1.5%): Requires the flat side of the triangle to be very precise.
Increase (2.0% - 3.0%): Allows for "messier" wicks and creates more pattern detections.
Trading Tips (Based on Bulkowski)
Wait for the Breakout: Triangles are coiling mechanisms. While Ascending triangles have a bullish bias, they can break downward (and vice versa). Professional traders often wait for a candle close outside the triangle boundary.
False Breakouts: Be aware of "Premature Breakouts" where price pierces the flat line but retreats.
Volume: Watch for declining volume as the triangle develops and an expansion of volume on the break.
Disclaimer This tool is for educational purposes and chart analysis assistance only. Automated pattern recognition should always be verified by the human eye. Past performance of a pattern does not guarantee future results.
RSI Strategy with Auto Tuner (PF)# RSI Auto‑Tuner Strategy — How To Use
This document explains **how to use** the RSI Auto‑Tuner strategy. It intentionally avoids math and implementation details. Follow this as an operating guide.
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## 1. What This Tool Is For
This strategy helps you:
* Discover **which RSI length works best** on a given ticker and timeframe
* Measure performance using **Profit Factor (PF)**
* Improve RSI performance on noisy markets by **transforming price first**
The auto‑tuner is a **research tool**, not a live trading signal generator.
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## 2. Two Modes You Must Treat Differently
### Research Mode
Used to explore and discover parameters.
* Auto‑Tune: **ON**
* Parameters are allowed to change
* Results may look very good
* Overfitting risk is real
### Trading Mode
Used for forward testing or live trading.
* Auto‑Tune: **OFF**
* Parameters are fixed
* Behavior is stable and repeatable
* This is the only acceptable mode for live use
**Never trade live with Auto‑Tune enabled.**
---
## 3. Manual Mode (Trading Mode)
Use this after parameters are finalized.
Steps:
1. Set **Auto‑Tune = OFF**
2. Choose:
* Source (raw price or transformed price)
* RSI Length (manual, default 14)
* Oversold / Overbought levels
3. The strategy will:
* Enter long when RSI crosses up through Oversold
* Enter short when RSI crosses down through Overbought
* Flip positions on opposite signals
This mode is predictable and safe for forward testing.
---
## 4. Auto‑Tune Mode (Research Mode)
Use this to find optimal RSI lengths.
Steps:
1. Set **Auto‑Tune = ON**
2. Configure the search range:
* Minimum Length (default 5)
* Maximum Length (default 14)
* Step Size (default 1)
3. The strategy will:
* Internally simulate trades for each RSI length
* Track gross profit, gross loss, and trades
* Select the length with the highest Profit Factor
4. The best length is applied automatically
Auto‑Tune evaluates historical data only.
---
## 5. Using a Transform on Price (Critical)
RSI does **not** have to run on raw price.
You can significantly improve results by:
* Applying a **price transform** first
* Feeding the transformed series into the RSI Source input
Examples of transforms:
* Moving averages
* Low‑pass filters
* Butterworth filters
* Any smoother or denoiser
Why this works:
* Busy, wicky markets cause RSI to whipsaw
* Transforms remove micro‑noise
* RSI responds to structure instead of chaos
* Profit Factor often increases dramatically
Best practice:
* Auto‑tune on raw price
* Auto‑tune on transformed price
* Compare PF, trade count, and stability
---
## 6. Reading the Status Label
At the last bar, the on‑chart label shows:
* Whether Auto‑Tune is ON or OFF
* Whether candidates were built successfully
* Number of RSI lengths tested
* Best RSI length found
* Profit Factor and trade count
If Auto‑Tune is OFF, the label shows the manual length.
---
## 7. Recommended Workflow
1. Choose ticker and timeframe
2. Enable Auto‑Tune on **raw price**
3. Record best RSI length and PF
4. Enable Auto‑Tune on **transformed price**
5. Compare results
6. Lock parameters
7. Disable Auto‑Tune
8. Forward test
---
## 8. Warnings and Discipline
* High PF with few trades is unreliable
* Transforms can hide execution costs
* Always validate on a different period
* Auto‑Tune is a **lens**, not an edge
Treat this tool as a research microscope, not an autopilot.
VWAP TOOL KIT (RyanTradesES)VWAP TOOL KIT — RyanTradesES
The VWAP Tool Kit is a session-aware, intraday market structure indicator designed for futures and active index traders who rely on VWAP, opening range behavior, and RTH context to frame high-probability trades.
This tool consolidates multiple VWAP regimes, key session levels, and adaptive EMA smoothing into a single, clean overlay—removing the need to stack multiple indicators or scripts.
Core Features
Opening Range (9:30–9:45 NY)
Automatically tracks and shades the Opening Range
Extends through RTH to provide a clear structural reference
Rendered behind price for clarity (non-intrusive)
VWAP Suite
Overnight VWAP (resets at 6:00 PM NY)
24-Hour NY VWAP (resets at 9:30 AM NY)
Previous Day NY VWAP (calculated from prior RTH)
Anchored VWAP with manual date/time control
Each VWAP can be independently enabled, styled, and sourced.
RTH High / Low
Tracks Regular Trading Hours (9:30–16:00 NY)
Updates dynamically and resets daily
Useful for range expansion, rejection, and bias confirmation
EMA + Advanced Smoothing
Base EMA with adjustable length, source, and offset
Optional EMA-based smoothing layer:
SMA
EMA
RMA (SMMA)
WMA
VWMA
SMA + Bollinger Bands
Bollinger Bands adapt directly to EMA behavior, not raw price
Legend / HUD
Compact, auto-updating legend in the chart corner
Displays only active modules
Fully optional and customizable
Design Philosophy
This indicator is built for clarity and context, not signals.
It is meant to help traders:
Identify VWAP acceptance vs rejection
Frame bias using session structure
Align EMA behavior with VWAP positioning
Reduce chart clutter while increasing information density
All components are modular—use everything, or only what fits your strategy.
Recommended Use
Intraday futures (ES, NQ, RTY, YM)
VWAP-based mean reversion and trend continuation
Opening range and RTH structure trading
Discretionary or rules-based execution
Notes
Times are calculated using New York session logic
This indicator does not generate trade signals
Designed for educational and analytical use
How I Personally Use This
I use this tool primarily for context, not entries. My focus is on how price behaves around the Overnight VWAP, 24H NY VWAP, and Previous Day VWAP during the first part of RTH. I pay close attention to whether price is accepting above or below VWAPs rather than crossing them. The Opening Range gives me an early framework for volatility and directional intent, while RTH High/Low helps me stay aware of where price is expanding versus stalling. The EMA and smoothing layer are used to judge momentum quality—when EMA structure aligns with VWAP positioning, I’m more interested; when they diverge, I’m more patient.
Example Framework (Not Trade Advice)
One way this indicator can be used is by observing price behavior after the Opening Range is set. If price holds above the Overnight and 24H VWAPs and the EMA structure remains supportive, that suggests stronger acceptance during RTH. In contrast, repeated failure to reclaim VWAP levels while EMA smoothing rolls over may indicate weakening participation. Anchored VWAP can be used to measure response around specific events such as session opens, highs/lows, or high-volume turns. This framework is intended to help structure decisions, not automate them.
CGM - Options Trial [Basic] - by ChartGptMarathiCGM - Options Premium Trial - by ChartGptMarathi
Description:
The CGM - Options Premium Trial is the introductory version of the advanced CGM Sniper suite, designed specifically for Option Buyers who need clarity in a chaotic market.
This indicator allows you to plot and compare Call (CE) and Put (PE) option charts simultaneously on a single pane, providing a direct view of premium behavior without switching tabs. It includes essential trend-following tools to help you identify momentum shifts instantly.
Key Features:
Dual Charting: Visualizes both Call and Put option candles on one screen for real-time comparison.
Trend Confirmation: Includes a built-in 8 EMA to gauge short-term momentum.
Volume Analysis: Integrated VWAP (Volume Weighted Average Price) for institutional level tracking.
Spot Tracking: Monitors the underlying Spot symbol (e.g., NIFTY/BANKNIFTY) data for better context.
Visual Clarity: Clean, color-coded candles (Green/Red) with customizable widths and visibility toggles.
How to Use:
Add the indicator to your chart.
In the settings, select your Call (CE) and Put (PE) symbols (e.g., NIFTY24000CE, NIFTY24000PE).
Select the Spot Symbol (e.g., NSE:NIFTY) for underlying data reference.
Use the EMA and VWAP lines to determine trend direction. If the premium price is above both lines, the momentum is bullish for that option.
Disclaimer:
This indicator is for educational and analytical purposes only. It does not constitute financial advice. Trading options involves significant risk. Please perform your own due diligence before executing any trades.
All rights reserved with ChartGptMarathi. For any feedback or support, contact at: chartgptmarathi@gmail.com
DCA Destroyer[Sahebson]Smart DCA Signal Calculator with Dynamic Position Sizing: (Designed for SPY or QQQ)
Transform your dollar-cost averaging strategy with intelligent position sizing.
This indicator identifies market exhaustion points where price reversals are likely, then calculates optimal position sizes based on the severity of the correction. Instead of buying fixed amounts on fixed dates, it deploys capital strategically when assets show oversold conditions, automatically scaling investment amounts from small positions on minor dips to aggressive positions during major corrections.
Core Features:
Exhaustion Detection: Identifies reversal points using swing analysis and momentum indicators
Dynamic Position Sizing: 8-tier multiplier system (0.1x to 25x base amount) based on drawdown depth
Real-Time Comparison: Side-by-side performance tracking vs traditional DCA
Adaptive Scaling: Exponential curve matches market volatility patterns
Risk Management: Tracks average cost, share accumulation, and ROI metrics
Visual Signals: Color-coded buy arrows with multiplier and amount labels
How It Works:
Monitors price for exhaustion patterns (sustained selling pressure followed by reversal)
Measures current drawdown from recent highs
Calculates position multiplier based on correction severity
Displays buy signal with recommended purchase amount
Tracks cumulative performance vs baseline DCA strategy
Use Cases:
Systematic accumulation of long-term positions
Optimizing entry timing for core holdings
Capital-efficient portfolio building
Crash buying with predetermined rules
Emotion-free position sizing
Ideal For:
Long-term investors building positions
Traders seeking systematic dip-buying rules
Portfolio managers optimizing capital deployment
Anyone practicing dollar-cost averaging who wants better results
Customizable Parameters:
Adjust exhaustion sensitivity (swing length, bar count)
Configure multiplier tiers for your risk tolerance
Set lookback period for drawdown measurement
Define base position size and DCA comparison amount
Performance Metrics:
Real-time ROI comparison (strategy vs DCA)
Share accumulation efficiency
Average cost basis tracking
Signal quality analytics
Tier distribution analysis
Multi-TF ATR + ORB + EMA PRO ver. 3.0Multi-TF ATR + ORB + EMA PRO v3.0
Professional Trading Indicator Update - Complete Documentation
🎯 MAJOR ENHANCEMENTS OVERVIEW
1. ORB Logic Completely Redesigned
✅ Show Only Previous ORB - Extended line display of previous session's ORB
✅ Multi-Session Support - NY, EU, ASIA sessions with independent on/off toggles
✅ Dynamic Timeframe Selection - Switch between 4H, 1H, 30M, 15M, 5M in settings
✅ Previous Session Tracking - Separate variables for previous ORB highs/lows
2. Enhanced ATR Table with Color Signals
✅ Signal-Based Color Coding - Green (●) for active signals, Gray (○) for inactive
✅ Modern Design - Professional dark theme with gradient colors
✅ Quick Recognition - Color-coded cells for instant signal identification
✅ Fully Customizable - Position, size, and styling in settings
3. Full Syntax Validation & No Errors
✅ All Pine Script v6 syntax validated
✅ Proper type annotations on all variables
✅ Correct indentation (4 spaces throughout)
✅ Function declarations follow v6 standards
✅ Request.security() calls optimized
Long Position (Manual Setup)BINANCE:BTCUSDT
This script is for long position setup manually....
Just enter the following data ......
1. higher entry price
2. lower entry price
3. stop loss price
4. targets ( up to 5 targets)
5- extra targets ( up to 3 extra targets)
then you will have the long position draw in the chart with the trade summary including risk and reward percentage.
TP & SL Indicator [TheScalpingAnt]
Overview
TP & SL Levels Clean is a precision trade-management tool designed to instantly plot professional-grade Take Profit and Stop Loss levels directly on your chart. Whether you are scalping, swing trading, or managing high-risk execution, this indicator removes guesswork by automatically calculating your SL and up to three configurable TP targets, displaying them with clean price labels on the right side of the chart.
This tool is built for traders who demand clarity, discipline, and execution accuracy.
Core Concepts
This indicator is designed around three key trading principles:
• Risk Management First
A clearly defined Stop Loss is essential in every professional trading strategy. The indicator ensures your SL is always visible and precise.
• Structured Profit Taking
Instead of randomly exiting trades, the tool delivers predefined TP targets to support scaling out and disciplined exits.
• Clean Visual Execution
Levels are displayed with bold lines and price tags, ensuring immediate readability without cluttering the chart.
LONG and SHORT trading directions are fully supported, ensuring it fits any trading style and asset class.
Key Features
• Automatically plots:
o Entry price level
o Stop Loss level
o TP1 (mandatory)
o TP2 (optional)
o TP3 (optional)
• Works for:
o LONG & SHORT positions
• Adjustable percentages for:
o SL %
o TP1 %
o TP2 %
o TP3 %
• Toggle ON/OFF visibility for TP2 & TP3
• Clean professional design
• Smart decimal precision based on instrument price
• Stable drawing logic using only the latest bar (no historical clutter)
• Precise price labels aligned on the right side of the chart
• Customizable line width
• Lightweight, fast, and optimized for performance
Customization & Flexibility
The indicator allows full personalization to match your trading strategy:
• Manually set Entry Price or let the indicator auto-detect from current price
• Choose Trade Direction: LONG or SHORT
• Define your exact:
o Stop Loss %
o Take Profit % levels
• Enable or disable TP2 and TP3 depending on your strategy
• Adjust line thickness
• Automatically adjusts price label decimal formatting for Forex, Crypto, Indices, and Stocks
This gives you total flexibility to adapt the tool to scalping, day trading, swing trading, or long-term positioning.
How to Use
1. Apply the indicator to your chart
2. Set:
o Entry Price (or leave 0 for automatic detection)
o Trade Direction (LONG / SHORT)
3. Define SL %, TP1 %, and optionally TP2 & TP3 %
4. Enable TP2 / TP3 toggles if needed
5. The indicator instantly plots:
o Entry line
o Stop Loss line
o Take Profit levels
6. Trade with visual confidence knowing your execution levels are clearly defined
Example Use Case
A trader plans a LONG position at 1.20000.
They configure:
• SL = -1.20%
• TP1 = +0.90%
• TP2 = +0.90% (optional)
• TP3 = +0.90% (optional)
The indicator immediately displays:
• Entry Reference Level
• Stop Loss Zone
• Profit Targets
This gives the trader an instant, structured trading framework without manual calculations, improving discipline and execution speed.
Settings Breakdown
Inputs:
• Entry Price (0 = auto)
• Trade Direction (LONG / SHORT)
• Stop Loss %
• TP1 %
• TP2 %
• TP3 %
• Toggle ON / OFF TP2
• Toggle ON / OFF TP3
• Line Width
• Built-in intelligent decimal formatting
Visuals:
• Bold colored levels
• Clear labels with precise price values
• Transparent clean UI
• Optimal spacing for visibility
Conclusion
TP & SL Levels Clean is built for serious traders who understand that consistent profitability comes from structured execution, not emotions. By combining clarity, flexibility, and professional visualization, this indicator helps you manage trades with precision and confidence.
If you are looking to simplify your workflow, improve discipline, and present professional execution management on your charts, this tool is for you.
Disclaimer
This indicator does not provide financial advice or guaranteed profits. It is a technical tool designed to support trade planning and execution. Trading involves risk, and users should always conduct their own analysis and manage risk responsibly
Adoptive Conditional range High/Low MA Crossover StrategyDeveloped from the doctoral research of Abu-Kadunagra at ****** University's in Australia, this strategy implements a "Campaign-Based Adaptive Execution" framework. It moves beyond simple entries and exits by treating each market engagement as a multi-phase campaign with distinct operational states. The system intelligently identifies cyclical turning points, then employs a feedback-driven approach to capital allocation—reinforcing successful momentum with pyramiding while deploying controlled defensive averaging during temporary setbacks. By anchoring its exit mechanism to dynamically updated market structure rather than static profit targets, the algorithm seeks to capture cyclical momentum while maintaining disciplined risk parameters. This research-driven approach represents an evolution toward state-aware algorithmic systems that adapt their tactics in real-time based on market phase recognition.
Michael Mor - ATRMichael Mor -ATR is a clean, lightweight chart watermark that gives you key stock context at a glance — without cluttering your chart or covering price action.
It’s designed for traders who want essential fundamentals + recent performance visible directly on the chart, in a subtle, professional style.
What it shows
You can toggle each line on or off:
Company name (optional market cap: M / B / T)
Symbol & timeframe
Sector & industry
ATR (14) with percentage of price and a quick volatility indicator
🟢 low volatility
🟡 medium volatility
🔴 high volatility
CRT 4H-DAY (Candle Range Theory)CRT 4H-DAY (Candle Range Theory) is a clean, price-based analytical tool designed to help traders contextualize market structure across multiple time horizons.
The indicator highlights key reference levels derived from recent market ranges and visualizes them directly on the chart in a minimal, non-intrusive way.
Its purpose is to improve spatial awareness of price behavior rather than generate direct trading signals.
CRT Trading is built for discretionary traders who prefer to combine contextual levels with their own analysis, price action, and risk management rules.
Key characteristics:
Multi-timeframe contextual reference levels
Clean and customizable visual layout
Works across crypto, forex, indices, and stocks
Designed for intraday and swing analysis
No repainting
No buy/sell signals
No future data usage
This indicator does not provide financial advice and should be used strictly as a supplementary analytical tool.
This indicator is for educational and analytical purposes only.
It does not provide trading signals or investment advice.
All trading decisions remain the sole responsibility of the user.
Fundamental Dashboard Publishing this script is a great idea because many traders in the Indian market struggle with TradingView's lack of data for SME (Small and Medium Enterprise) stocks.
Here is a professional, detailed description you can use for the Publishing Page. I have broken it down into sections that highlight the unique "Hybrid" technology of your script.
Title Idea: Fundamental Dashboard Pro: SME & Hybrid Live Valuation
Description:
Overview
The Fundamental Dashboard Pro is a high-performance financial analysis tool specifically designed for the Indian Stock Market (NSE/BSE). It solves the biggest problem faced by TradingView users in India: Missing or delayed data for SME and mid-cap stocks.
While standard TradingView indicators rely solely on built-in data feeds (which are often "N/A" for stocks like Alpex Solar, Oriana Power, or Insolation Energy), this script uses a Custom Hybrid Engine. It prioritizes a built-in, high-accuracy database of ~1,700 stocks while falling back to live TradingView data for everything else.
Key Features
📊 Accurate SME Data: Includes pre-loaded, professional-grade fundamental data (EPS, Net Profit, Debt/Equity, ROE) for over 1,600 Indian companies, including the SME segment.
⚡ Real-Time P/E Calculation: Unlike static dashboards, this script calculates the Price-to-Earnings (P/E) ratio dynamically. It takes the static EPS from the database and divides it by the live market price, ensuring your valuation metrics update every second.
🛡️ Intelligent Fallback Logic: If a ticker is not found in the custom database, the script automatically attempts to fetch live data from TradingView’s servers, ensuring you are never left without information.
🔍 Manual Ticker Search: Includes a "Manual Search" input in settings to bypass auto-detection. This is perfect for stocks that use different naming conventions between NSE and BSE (e.g., searching by code 543620 for Insolation Energy).
🚦 Automatic Rating System: A 5-point scoring system that evaluates a stock based on profitability, valuation, leverage, and efficiency, providing a visual "Buy/Sell/Neutral" rating.
How the Hybrid System Works
EPS/ROE/Debt: These metrics are quarterly and are pulled from a high-precision snapshot of Screener.in data embedded in the script.
Live Price: Pulled directly from the chart ticker.
Dynamic P/E: Calculated as Live Price / Stored EPS. This makes the valuation "Market-Live."
Scoring Criteria
The dashboard evaluates every stock against 5 fundamental pillars:
Profitability: Is the company making a Net Profit?
Earning Power: Is the EPS positive?
Valuation: Is the Live P/E below the user-defined threshold?
Debt Health: Is the Debt-to-Equity ratio below the safety limit?
Efficiency: Is the Return on Equity (ROE) above the target percentage?
Instructions for Use
Auto-Mode: Simply add the script to your chart. It will detect the ticker automatically.
Manual-Mode: If the dashboard shows "NOT FOUND" for a specific SME stock, go to Settings > Data & Thresholds and type the ticker name exactly as it appears on Screener (e.g., ALPEXSOLAR).
Customization: You can adjust the P/E, ROE, and Debt thresholds in the settings menu to match your specific investment criteria (e.g., Value vs. Growth investing).
Internal Note for Publishing (Technical):
Version: Pine Script v5
Optimization: The script uses string-compressed data chunks to remain within the 80,000 token limit while maximizing the stock database size.
Scope: Designed specifically for Indian markets but compatible with global tickers via the fallback engine.
KSE-100 PSX Long Strategy by KadunagraDeveloped from a academic part of the doctoral research of Kadunagra on digital finance and automation at **** University in Australia, this strategy implements a "Campaign-Based Adaptive Execution" framework. It moves beyond simple entries and exits by treating each market engagement as a multi-phase campaign with distinct operational states. The system intelligently identifies cyclical turning points, then employs a feedback-driven approach to capital allocation—reinforcing successful momentum with pyramiding while deploying controlled defensive averaging during temporary setbacks. By anchoring its exit mechanism to dynamically updated market structure rather than static profit targets, the algorithm seeks to capture cyclical momentum while maintaining disciplined risk parameters. This research-driven approach represents an evolution toward state-aware algorithmic systems that adapt their tactics in real-time based on market phase recognition.
Aroon (Any Source)Aroon (Any Source)
Overview
This indicator is an enhanced version of the classic Aroon Oscillator. It measures trend dominance based on the recency of highs and lows, with added flexibility to operate on any chosen source series and an optional price-scaling mechanism based on VWAP distance.
What the Indicator Does
The Aroon Oscillator compares how recently the most recent high and low occurred within a lookback window. The result is a bounded oscillator that indicates whether buyers or sellers are currently dominant.
This version adds: - Ability to run Aroon on any source - Optional smoothing to reduce noise - Optional VWAP-based price scaling
Core Outputs
• Aroon Up (0–100): Strength of recent highs
• Aroon Down (0–100): Strength of recent lows
• Aroon Oscillator (−100 to +100): Net dominance (Up − Down)
Inputs and Options
• Source: Input series used for calculations
• Aroon Length: Lookback window
• Use Source for High/Low: Enables Aroon-like mode on any series
• Show Oscillator: Toggles oscillator plot
• Show Aroon Up/Down: Toggles component lines
• Smooth Oscillator: Light smoothing (EMA/RMA/SMA)
• VWAP Price Scaling: Scales signal by VWAP distance normalized by ATR
How to Use It
Use the oscillator as a trend regime filter. Positive values indicate bullish dominance; negative values indicate bearish dominance. VWAP scaling helps suppress signals near equilibrium and emphasize extended moves.
Practical Notes
• Measures recency, not magnitude
• Best used as a regime or bias input
• Especially effective intraday with VWAP scaling
Triple EMA (TEMA) + Slope LeadThis indicator plots a standard Triple EMA (TEMA) and an optional slope-lead version. TEMA is a low-lag moving average built from three EMAs, allowing it to track price more closely than a single EMA. The Lead Strength (k) adds a small forward “push” based on the recent TEMA slope:
TEMA_lead = TEMA + k × (TEMA − TEMA ). Higher k values make the line react earlier but increase sensitivity in chop.
Used as a source for other indicators (RSI, MACD, stochastic, regime filters, etc.), TEMA or TEMA-Lead may improve signal quality by reducing noise, aligning momentum readings with trend direction, and producing earlier, cleaner transitions at turns, often without the excessive lag introduced by heavier smoothing.
RSI (Any Source) StrategyThis is a simple RSI crossover/crossunder strategy. It calculates RSI on a user-selected Source (default close) using the chosen Length (default 14). It enters a long when RSI crosses up through the Oversold level (default 30), and enters a short when RSI crosses down through the Overbought level (default 70). It does not include explicit exits—each new signal effectively flips/replaces the position via a new entry.
Least Squares Moving Average Zero Lag LeadLSMA Zero‑Lag + Lead Indicator
This indicator is a modified Least Squares Moving Average (LSMA) designed to reduce lag and optionally introduce a controlled forward‑leaning (lead) component. It is intended to be used either directly on price or as a smoother, more responsive input source for other indicators such as RSI, MACD, or regime filters.
1. What LSMA Is Doing
LSMA (Least Squares Moving Average) fits a straight‑line regression to the last N bars and evaluates that line at the current bar. Unlike simple or exponential averages, LSMA implicitly models trend direction and slope, which makes it more responsive during directional moves.
2. Zero‑Lag Adjustment
The zero‑lag version applies a simple error‑correction technique:
ZL = 2 × LSMA − LSMA(previous)
This cancels part of the inherent regression delay, producing a smoother line that reacts faster to turns while remaining stable in trends.
3. Lead Component (Optional)
On top of the zero‑lag LSMA, a slope‑based lead is added:
Lead = ZL + k × (ZL − ZL(previous))
Here, the recent slope is projected forward by a user‑controlled factor (k). This does not predict price, but it shifts the average slightly in the direction of current momentum, improving responsiveness for signal generation.
4. Why This Helps RSI and Similar Indicators
RSI and many oscillators operate on raw price changes, which can be noisy and lag‑prone. Feeding RSI with LSMA ZL or LSMA ZL + Lead instead of raw close price:
• Reduces noise without excessive smoothing
• Aligns RSI swings with underlying trend direction
• Improves timing of overbought/oversold transitions
• Reduces late signals after sharp reversals
In practice, this produces an RSI that reacts faster in trends but stays calmer in chop.
5. Practical Usage Tips
• Use LSMA ZL as a clean, low‑lag replacement for price in oscillators
• Add small lead values (0.5–1.0) only if earlier signals are needed
• Avoid high lead values in choppy markets
• Combine with regime or volatility filters for best results
This indicator is best thought of as a signal‑conditioning layer rather than a standalone trading system.
