Current Candle DateTimeThis is a simple script that users can easily see that datetime of the current candle. This is useful when backtesting and you want to be able to quickly glance and see where we are up to. Useful for when you are backtesting a strategy and trying to stay within a particular trading session.
The indicator will display in the top right hand corner, so it wont get in the way of any other analysis.
Indicators and strategies
EMA / SMA (Configurable + Labels)This indicator supports up to 3 EMA lines and 1 SMA line, with configurable length and label.
Today's Price Position On Intraday-From Low /High OVERVIEW
A clean, professional indicator that displays your stock's current position relative to today's high, today's low, and yesterday's close - all in one convenient table.
🎯 WHAT IT SHOWS
Three key metrics in real-time:
- From Low: How far price has moved from today's lowest point
- From High: How far price is from today's highest point
- % Today: Today's percentage change vs yesterday's 4 PM close
✨ KEY FEATURES
✓ Real-time percentage tracking throughout the trading day
✓ Works on ALL intraday timeframes (1min, 5min, 15min, etc.)
✓ Includes Pre-Market (4:00-9:30 AM) and Regular Trading Hours (9:30-4:00 PM)
✓ Color-coded indicators: Green (up), Red (down), Yellow (at reference point)
✓ Clean, non-intrusive table display in bottom-right corner
✓ Accurate reference to previous day's actual closing price
🔧 TESTING MODE
Built-in testing mode allows you to:
- Manually input test values for High, Low, Close, and Previous Close
- Verify calculations and behavior before live trading
📈 IDEAL FOR
- Day traders monitoring intraday price action
- Swing traders tracking daily momentum
- Anyone wanting quick visual reference of price position
- Traders who need to know "where we are" at a glance
💡 HOW TO USE
Simply add to your chart - no configuration needed! The indicator automatically:
1. Tracks today's high and low (including pre-market)
2. References yesterday's 4 PM closing price
3. Calculates your current position as percentages
4. Updates in real-time with color-coded signals
🎨 COLOR LEGEND
- Green: Price is up/above reference
- Red: Price is down/below reference
- Yellow: Price is exactly at reference point (unchanged)
- Orange: Previous day's close reference price
⚙️ TECHNICAL NOTES
- Automatically resets at start of each trading day
- Handles both pre-market and regular hours seamlessly
- Uses confirmed previous day close (no repainting)
- Lightweight and efficient - won't slow down your charts
Perfect for traders who want professional-grade information without chart clutter!
Turnover Since Start of DayTurnover Since Start of Day
-- day from 24 midnight to 24 midnight
-- Sum Turnover
-- Interest at larger time frames, what part of the day do things move
ALT FINAL ABCD PRO V62. Key Improvements and Performance Optimization of Version v6
Faster Large-Scale Computation: The v6 engine processes large-scale computations more quickly and minimizes delays that occur when pulling Bitcoin and dominance data simultaneously.
Enhanced Repainting: By using the f_secure_data function to check Bitcoin trends, I eliminated 'future reference errors' at the source, ensuring that backtest returns match actual trading results.
Automation of Risk-Reward (R:R): Utilizing ATR multiples, I configured the stop loss to be short (0.8x) and the take profit to be long (1.5x), allowing for automatic responses to the volatility of altcoins.
3. Supplementary Guide for Trading Altcoins
Meaning of VWAP Sweep: In the crypto market, when the price briefly dips below the VWAP and then recovers, it is interpreted as a signal that institutions are absorbing the stop-loss volumes of retail investors. This indicator captures that moment and helps traders enter at the most favorable price level.
Utilizing the Dominance Filter: An altcoin buying signal occurs only when Bitcoin's dominance is below the moving average. This mechanism ensures trading only in 'tailwind' situations where the flow of funds is directed towards altcoins.
Time Zone Focus: The U.S. session (22:30–01:30), marked in orange, is when global liquidity is at its highest. Outside of this time frame, the reliability of patterns decreases, so it is recommended to refrain from trading as much as possible.
Asia/London OPEN High/LowMarks out the Highs and Lows of Asia and London market open. This doesn't include premarket or aftermarket hour data High/Low.
MTT Liquidity Transmission Z-ScoreUnderstanding the Liquidity Transmission Indicator
This indicator is a multi-asset dashboard designed to reveal the "invisible" plumbing of the financial markets. By normalizing four distinct macro drivers into Z-scores, it allows you to compare disparate data points—interest rates, volatility, and equity ratios—on a single unified scale (typically ranging from -3 to +3).
How to Interpret the Data
Expansion (Positive Z-Scores): When the lines move above the zero median, it signals easing conditions. For example, a rising US Policy Impulse suggests falling yields and a more accommodative Fed, providing a "tailwind" for risk assets.
Contraction (Negative Z-Scores): When lines drop below zero, liquidity is tightening. A plummeting Credit Transmission line indicates widening corporate spreads, suggesting that banks are less willing to lend, which often precedes market corrections.
The "Confluence" Signal: The strongest trading environments occur when all four lines align. If Speculative Excess and International Impulse are both surging alongside US policy, you are witnessing a global "Risk-On" regime.
Trading Application
Watch for divergences. If the S&P 500 is making new highs but the Liquidity Transmission lines are trending lower (becoming "overbought" or exhausted), the market is likely running on fumes. Conversely, look for "oversold" bounces from the -2.0 level as potential entry points for a mean-reversion swing trade.
Position Size RulerThis script is designed for day traders who need to visualize contract sizing based on stop loss size instantly without manual calculations. It bridges the gap between a trader's defined risk and the fast-moving price action of assets like NQ or MNQ.
The tool operates by creating a "position size ruler" that projects contract-specific zones based on a draggable Stop Loss anchor.
Draggable Stop Loss: In settings, you will first need to enter a value for the stop loss. This value should be near the current price value so that the ruler can be seen on your chart. Once that is done, you can click and drag the "blue dot" handle—anchored to the left edge of the stop loss—to align it with your anticipated stop loss location.
Neeson RSI Divergence DetectorIntegrating Multi-Indicator Strategies: A Rational Approach to Technical Analysis Tools
Introduction
The integration of multiple technical indicators into a unified trading script represents a sophisticated approach to market analysis, combining complementary analytical methods to enhance decision-making. This article outlines the rational basis for combining specific indicators, explains their synergistic operation, and provides practical guidance for users seeking to understand the functional utility, operational mechanics, and unique value proposition of integrated technical analysis tools.
Functional Purpose and Rational Integration Basis
Integrated technical scripts are designed to address the inherent limitations of single-indicator analysis by combining multiple analytical perspectives. The rational basis for integration typically follows these principles:
Complementary Signal Validation: Different indicators measure distinct market characteristics (momentum, volatility, trend strength, etc.). Their combination allows cross-validation of signals, reducing false positives inherent in single-indicator systems.
Multi-Timeframe Confirmation: Integrated scripts often incorporate elements that analyze price action across different temporal dimensions, providing a more comprehensive market perspective.
Risk Management Enhancement: By combining overbought/oversold indicators with trend confirmation tools, these scripts help identify not only entry opportunities but also potential risk zones.
Market Phase Adaptation: Different market conditions (trending, ranging, volatile) favor different indicator types. Integrated approaches maintain relevance across varying market environments.
Synergistic Operational Mechanism
The components of well-designed integrated scripts operate through several synergistic mechanisms:
Primary Trend Identification: Core trend-following indicators establish the dominant market direction, serving as a filter for other signals. This prevents counter-trend entries that might otherwise be generated by oscillators or momentum indicators.
Momentum Confirmation: Oscillator-based components (like RSI or Stochastic) validate the strength of the identified trend, distinguishing between healthy retracements and potential reversals.
Divergence Detection: By comparing price action with momentum indicators, these scripts identify subtle shifts in market dynamics that often precede trend changes.
Volatility Adjustment: Volatility-based components dynamically adjust signal thresholds and position sizing recommendations based on current market conditions.
Multi-Layer Filtering: Each signal passes through successive validation layers, with only the strongest, most confirmed signals triggering alerts or visual markers.
Practical Application Guidance
Users can maximize the utility of integrated scripts through these practical approaches:
Parameter Customization: Adjust indicator periods and thresholds to match the characteristics of specific trading instruments and timeframes. Historical testing can identify optimal settings for particular markets.
Signal Hierarchy Interpretation: Learn to distinguish between primary signals (strongly confirmed across multiple indicators) and secondary signals (weaker confirmation) for appropriate position sizing.
Contextual Analysis: Consider integrated signals within the broader market context, including support/resistance levels, volume patterns, and fundamental developments.
Performance Correlation: Monitor how different market conditions affect script performance. Some configurations may excel in trending markets while others perform better in ranging conditions.
Risk Calibration: Use the multi-indicator confirmation to calibrate stop-loss and take-profit levels, with tighter parameters for strongly confirmed signals and wider parameters for weaker ones.
Originality and Value Proposition
The originality of well-designed integrated scripts manifests in several dimensions:
Unique Combination Logic: The specific selection and weighting of indicators, along with their integration methodology, represents intellectual value distinct from simple indicator stacking.
Innovative Signal Processing: Advanced scripts often incorporate proprietary algorithms for signal filtering, noise reduction, or probability weighting not found in standard indicators.
Adaptive Framework: Some scripts dynamically adjust their analytical approach based on changing market conditions, representing a form of artificial market intelligence.
Visualization Innovation: The presentation of complex multi-indicator data in an intuitive, actionable format constitutes significant user interface originality.
Empirical Limitations and Responsible Use
It is crucial to maintain realistic expectations regarding integrated technical scripts:
No Predictive Certainty: These tools analyze probabilities, not certainties. No combination of historical price indicators can guarantee future price movements.
Market Efficiency Limitations: All technical analysis operates within the constraints of market efficiency, with script effectiveness varying across different market conditions and time periods.
Complementary Role: Integrated scripts should complement, not replace, comprehensive trading strategies including risk management, fundamental analysis, and market knowledge.
Continuous Evaluation: Regular performance assessment against established benchmarks helps maintain realistic expectations and identifies when script adjustments may be necessary.
Conclusion
The thoughtful integration of multiple technical indicators represents a logical evolution in analytical methodology, addressing the limitations of single-indicator approaches through complementary validation and multi-dimensional analysis. By understanding the rational basis for integration, the synergistic operation of components, and the practical application parameters, users can employ these tools as valuable components within broader, disciplined trading approaches. The true value emerges not from predictive accuracy but from structured decision support that helps traders navigate complex market environments with greater consistency and insight.
VPE Candle Patterns with Volume ConfirmationPattern Detection Logic:
Doji — Body is ≤10% of the candle range (adjustable)
Hammer — Body in upper third, lower wick ≥2x body size, minimal upper wick
Shooting Star — Body in lower third, upper wick ≥2x body size, minimal lower wick
Volume Confirmation:
Patterns only trigger signals when volume > volume (current candle volume exceeds previous)
Alerts:
Four alert conditions you can configure in TradingView:
Doji Detected
Hammer Detected
Shooting Star Detected
Any Pattern Detected (combined)
Visual Elements:
Labels on chart (D, H, SS) — toggleable
Optional background highlighting
Info table showing current bar status
To set up alerts in TradingView:
Add the indicator to your chart
Right-click → Add Alert
Select the indicator and choose which alert condition
Configure your notification method (webhook, email, app push, etc.)
The input parameters let you tune sensitivity — tighten the dojiBodyRatio for stricter doji detection, or adjust wick ratios if you're getting too many/few signals.
Gei-IndicatorFor trading and for fundaTradingView, combining three critical layers of market data into a single, high-level summary.
Key Features:
Fundamental Analysis: It pulls real-time financial data (P/E Ratio, Free Cash Flow, Revenue, EBIT, and Dividend Yield) to evaluate the company's health. It even includes a "Tech Mode" toggle to adjust valuation expectations for growth stocks.
Technical Indicators: It monitors price momentum and trend direction using the RSI (14) and a Moving Average crossover (MA20/MA50).
Market Benchmarking: It calculates and displays the Year-To-Date (YTD) performance of the SPY (S&P 500 ETF), allowing you to see at a glance if the current stock is outperforming the broader market.
Dynamic UI: All data is neatly organized in a color-coded table (Green/Orange/Red) at the top-right of your chart, making it easy to perform a "quick health check" without leaving the main price action.mental analysis
Intraday Session BehaviorThis indicator was built to study how price behaves throughout the trading day, from pre-London session to the New York close.
The goal was simple: identify recurring intraday tendencies, reversals, and consolidation phases based on time, not indicators.
I created this script to visually segment key intraday windows and then ran 100 manual backtests to observe where price most frequently shifts direction or changes behavior.
Key observation:
Across multiple samples, 8:00 AM NY time showed the highest frequency of reversals, often aligning with positioning ahead of the New York open.
This tool is not a signal generator. It’s designed for context, study, and confluence — especially for traders focused on session-based trading, liquidity behavior, and intraday structure.
Use it as a framework to:
Study session transitions
Refine time-based playbooks
Combine with your own strategy, structure, and risk management
Built the old-school way: observe, test, repeat.
Fast EMA Stack >XBT<Multi-timeframe EMA indicator displaying 9/20 EMA bands across 5M, 15M, 1H, and 4H timeframes simultaneously on a single chart.
Quickly assess trend alignment across multiple timeframes without switching charts. A built-in signal table provides instant visual confirmation of bullish or bearish conditions on each timeframe.
Features:
Multi-Timeframe Bands — View EMA 9/20 bands for 5M, 15M, 1H, and 4H all at once
Crossover Labels — Bull/Bear labels appear directly on the chart at each EMA crossover point
Stack Filter — Only show crossover signals that align with your higher timeframe bias (e.g. if 1H is bullish, only show bull signals on lower timeframes)
Individual Label Controls — Toggle crossover labels on/off independently for each timeframe
Label Limit — Set maximum labels per timeframe to keep charts clean (default 5)
Signal Table — Dark-mode table showing BULL/BEAR status with colour-coded indicators
Fully Customisable — Adjust EMA lengths, line thickness, colours, and band transparency per timeframe
Toggle Timeframes — Show or hide individual timeframe bands
Alert Conditions — Pre-built alerts for bullish and bearish EMA crossovers on all four timeframes
How to Use:
Look for alignment across timeframes to confirm trend direction. When multiple timeframes show the same signal (all green or all red), you have stronger confluence. Crossover labels mark exact entry/exit points where momentum shifts.
Stack Filter:
Enable the Stack Filter to only see signals that match your higher timeframe bias. Select your bias timeframe (15M, 1H, or 4H), then:
When bias is bullish → only bull crossovers appear on lower timeframes
When bias is bearish → only bear crossovers appear on lower timeframes
The bias timeframe always shows both directions so you can see when trend changes
This helps filter out counter-trend noise and keeps you trading with the flow.
Green = Bullish (EMA 9 above EMA 20)
Red = Bearish (EMA 9 below EMA 20)
A+ Pullback & Continuation 3 ema pullback und continuation
signale buy sell nach pullback
ema müssen übereinander sein
buy sell signals after pullback
ema have to be clear
covenant 1Covenant 1 — Liquidity-Based Trade Boxes
Covenant 1 is a private trading indicator designed to visualize Entry, Stop Loss, and Take Profit zones directly on the chart.
Key features
• Automatic Entry / SL / TP boxes
• Boxes dynamically extend as the trade remains active
• Full historical trade visualization
• Clean, non-repainting logic
• Designed for discretionary trading and visual guidance
Notes
• This indicator is for educational and analytical purposes only
• It does not execute trades
• No financial advice is provided
Three Green Candles Screener - % Move & Volume1️⃣ Core purpose (big picture)
The indicator identifies stocks that:
Have 2 or 3 consecutive green candles
Are above a 21-EMA (trend filter)
Have reasonable % price movement (not overextended)
Show current volume, average volume, and turnover
Show daily and weekly % price change
It’s meant for short-term momentum screening (swing / positional / breakout prep).
2️⃣ Trend filter (EMA)
ema21 = ta.ema(close, emaLength)
Uses a 21-period EMA
All buy signals require price > EMA
This avoids counter-trend setups
3️⃣ Three Green Candles logic (main signal)
threeGreen = (close > open) and (close > open ) and (close > open )
This checks for three consecutive bullish candles.
Then it calculates:
% change for each candle (open → close)
Average % change across the 3 candles
avgChg = (chg0 + chg1 + chg2) / 3
✅ 3-Green signal triggers when:
3 consecutive green candles
Average % change ≤ user-defined max (default 10%)
Price above EMA21
➡ Output:
signal = 1 // Buy flag
signal = 0 // No action
This avoids parabolic / news-spike candles.
4️⃣ Two Green Candles logic (early signal)
This is a lighter, earlier version of the same logic.
twoGreen = (close > open) and (close > open )
avgChg2 = (chg0 + chg1) / 2
✅ 2-Green signal triggers when:
2 consecutive green candles
Average % change ≤ maxAvgChange
Price above EMA21
➡ Output:
signal2 = 1 // Early momentum
This helps catch moves one day earlier than the 3-green setup.
5️⃣ Volume & liquidity context (important)
Average volume (7 days)
avgVol7 = ta.sma(volume, 7) / 1e6
Shows liquidity trend
Units: Millions of shares
Today’s volume
todayVol = volume / 1e6
Helps confirm participation
6️⃣ Turnover (Price × Volume)
priceVolCrore = (close * volume) / 1e7
Measures capital flow, not just volume
Output in ₹ Crores
Helps filter:
Low-value pump candles
Illiquid stocks
7️⃣ % price movement
Daily move
pctDay = (close - close ) / close * 100
Weekly move (5 bars)
pctWeek = (close - close ) / close * 100
These give context, not signals:
Is this early?
Is it already extended?
8️⃣ Visual outputs (what you see)
Plots (in the indicator pane)
CMP (current price)
3-Green signal (0 / 1)
2-Green signal (0 / 1)
Avg 7-day volume (M)
Today’s volume (M)
Turnover (₹ Cr)
Day % move
Week % move
This makes it usable as a visual screener.
9️⃣ Summary table (top-right)
On the latest bar only, it shows:
Field Meaning
CMP Current price
Today Vol (M) Today’s volume
Turnover (Cr) Value traded
Day / Week % Momentum context
Compact, readable, no clutter.
10️⃣ What this indicator is GOOD for
✅ Momentum stock screening
✅ Swing / positional setups
✅ Avoiding overextended candles
✅ Liquidity & capital flow validation
✅ Manual decision support
11️⃣ What it does NOT do
❌ No auto buy/sell
❌ No stop-loss or targets
❌ No relative strength vs index
❌ No intraday scalping logic
TL;DR (one-liner)
This indicator finds stocks in a healthy uptrend with 2–3 controlled bullish candles, confirms them with EMA and volume/turnover, and presents all key momentum metrics in one clean view.
EMA10/201️⃣ Trend filter is already TRUE
Price above VWAP
EMA10 > EMA20
EMA20 rising
➡ This stays TRUE for many candles in a strong uptrend.
2️⃣ Pullback condition is TRUE
1–3 red candles already happened
Price is still near EMA20
➡ This condition does not reset immediately.
3️⃣ Engulfing logic is the key problem
Your current engulfing rule is roughly:
Candle is green
Closes above previous close
Above EMA20
Now look at your chart:
First green candle → BUY
Next candle is also green, still above EMA20 → BUY again
Next candle still satisfies all conditions → BUY again
📌 Result:
👉 BUY, BUY, BUY on consecutive candles
That’s why you see 3 BUY labels together.
Adaptive ML VWAP v1.0Overview
Adaptive ML VWAP is a next-generation "Smart Indicator" that moves beyond static deviations (Standard Deviation). Instead of assuming market volatility is distributed normally (Bell Curve), this indicator uses a k-Nearest Neighbors (k-NN) machine learning engine to learn the specific volatility behavior of the asset you are trading.
It answers the question: "When price extends away from VWAP, how far does it actually go before reversing?"
The Adaptive ML Engine
This script features a 5-Dimensional ML Engine that tracks every major extension or pullback event. It records:
Deviation Depth (Normalized to ATR)
Trend Slope (Is the trend steep or flat?)
ADX (Trend Strength)
VWAP Deviation (Relative Position)
Time of Day (Session Context)
When a new setup occurs, the k-NN engine instantly searches its memory for the 5 most similar historical events and calculates the probability of success based on what happened last time.
Two Strategy Modes
You can toggle the logic to suit your trading style:
1. Mean Reversion Mode (Default)
"Fade The Move"
Goal: Catch price at an exhaustion point returning to VWAP.
Signal: Triggers when price touches a Smart Band and reverses back toward the center.
k-NN Learning: Learns which conditions favor a snap-back.
Best For: Ranging markets, Lunch hours, Choppy sessions.
2. Trend Following Mode
"Ride The Move"
Goal: Catch breakouts that are launching away from value.
Signal: Triggers when price breaks out of the Inner Band (1.0).
k-NN Learning: Learns which breakouts tend to extend to the Outer Bands.
Best For: Morning Drives, News Events, Strong Trends.
Visual Guide
The indicator uses a Dynamic Gradient system to visualize risk/reward:
Cyan Mist (0.5 - 1.0): The Value Zone. Noise area. Safe for trend entries.
Deep Cyan (1.0 - 2.0): The Trend Zone. Price is moving proactively.
Orange Glow (2.0 - 3.0): The Danger Zone. Price is statistically overextended. Reversals are highly probable here.
"Fractal" Math
Unlike standard indicators that break when you change timeframes, Adaptive ML VWAP uses Fractal Normalization.
A "2.0 Band" on a 15-second chart means the same statistical extreme as a "2.0 Band" on a 4-hour chart.
Auto-Adaptive Lookback: The indicator automatically boosts the ML memory (Lookback) on lower timeframes (seconds/minutes) where more noise requires larger sample sizes, ensuring robust predictions without manual tweaking.
Settings
Auto-Adapting Lookback: (Default: True) automatically increases Lookback to 100+ for seconds charts and 50+ for minute charts.
Lookback (Events): Manual override base value (Default: 100).
Strategy Mode: Toggle between Mean Reversion and Trend Following.
k-Neighbors: The number of similar past events to structurally compare (Default: 5).
Disclaimer: This tool is for educational purposes. Machine learning performance is dependent on market conditions and historical recursion.
Stochastic Dynamic BandsStochastic is a purpose-built oscillator designed for clean, actionable signals instead of noisy crosses. It lets you switch between Classic Stochastic and StochRSI, then adapts to current market conditions with optional dynamic percentile bands rather than fixed 80/20 levels. You can trigger signals by standard K/D crosses, by higher-quality re-entry logic when momentum exits an extreme zone, or both. A built-in EMA trend filter helps align signals with the dominant direction, and the indicator keeps a classic stochastic panel layout with clear active bands and alert support for every signal type.
RSI Divergence by EVRSI Divergence is a clean, non-repainting RSI built to look and feel like the standard oscillator while adding automatic divergence detection. It identifies Regular Bullish and Regular Bearish divergences using confirmed pivot points, helping you spot momentum weakening against price action without the guesswork. Optional Hidden divergences are included for continuation reads, and you can filter signals by requiring RSI to be inside Overbought/Oversold zones. The script keeps a classic 70/30 layout with optional OB/OS shading, draws divergence lines directly on the RSI for instant visual confirmation, and includes ready-to-use alerts for each divergence type.
Combo Premium SMA Alert SystemShort Straddle for ATM Options Entry at SMA Cross over downside and SL or Exit SMA Cross over Upside






















