Scalping Indicator (EMA + RSI)Buy and Sell Signals. Use with Supply and Demand to find good entries. Do not rely solely on this signal. Monitors with short and long EMA cross along with oversold or overbought RSI.
Moving Averages
QUANTUM MARKET ANALYZER X7QUANTUM MARKET ANALYZER X7 — Study Material (Learning & Teaching Guide)
What this tool is (and isn’t)
QUANTUM MARKET ANALYZER X7 is a multi-factor TradingView indicator that summarizes many classic signals into one dashboard. It does not predict the future or guarantee profits. It simply scores what is happening now using oscillators, moving averages, order-block behavior, trendline/channel context, Supertrend bias, and volume/flow clues—so you can make structured, risk-aware decisions.
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Quick start (for brand-new traders)
1. Add the indicator to a chart.
2. Pick an Analysis Timeframe (e.g., 60-min for day trading, 4-hour for swing).
3. Read the Summary tile first; then check Oscillators → MAs → OB/Trendline/Supertrend → Volume.
4. Take trades only when multiple sections agree, and always plan stop loss and size before entry.
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How the dashboard is built (section by section)
Below you’ll learn what each section measures, how the numbers are produced, and how to interpret them. The script converts each sub-signal into a small integer (e.g., +2, +1, 0, −1, −2). These are summed into section totals and then into a Summary score.
1) Summary (the combined score)
• What it is: The grand total of all sections (Oscillators + Moving Averages + Advanced: OB, Trendline/Channel, Supertrend, Volume).
• How it’s labeled:
o Large positive total → BUY / STRONG BUY
o Around zero → NEUTRAL
o Large negative total → SELL / STRONG SELL
• How to use: Treat it as a headline, not a trigger. Confirm with the sections below and price action.
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2) Oscillators (momentum / overbought–oversold)
Inputs used on your chosen timeframe:
• RSI(14):
o 70 → bearish pressure (−)
o <30 → bullish pressure (+)
• Stochastic (14):
o 80 overbought (−), <20 oversold (+)
• CCI(20):
o +100 (−), <−100 (+)
• Williams %R(14):
o −20 overbought (−), <−80 oversold (+)
• MACD(12,26,9):
o MACD line > Signal → (+), below → (−)
• Momentum(10): >0 → (+), <0 → (−)
• ROC(9): >+2% → (+), <−2% → (−)
• Bollinger Bands(20,2):
o Price > Upper band → (−), < Lower band → (+)
How it scores: Each item contributes between −2 and +2 (or −1/+1 for some). The Oscillator total is their sum.
How to use: Oscillators excel for timing. Favor longs when the total is clearly positive and exiting or avoiding when clearly negative.
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3) Moving Averages (trend/structure)
MAs used: SMA(10/20/50/100/200) and EMA(10/20/50).
Scoring logic: Compares price vs each MA:
• Price > MA by >2% → +2 (strongly bullish)
• Price > MA by 0–2% → +1
• Price < MA by 0–2% → −1
• Price < MA by >2% → −2
How to use: A clearly positive MA total suggests trend alignment for longs; clearly negative favors shorts or flat. Mixed readings → treat as range/transition.
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4) Order-Block (OB) breakout analysis (support/resistance from clustered reactions)
What it approximates: The script searches a lookback window for pivot-like candles and counts repeated “touches” near that level (within ±0.2%) to infer support (bullish OB) or resistance (bearish OB).
Settings you can tune
• OB Lookback Period: how far back to search.
• Min OB Touches: more touches = stronger level.
Signals produced
• BULLISH BRK: Price crosses above the most recent bearish OB (resistance → breakout).
• BEARISH BRK: Price crosses below the most recent bullish OB (support → breakdown).
• ABOVE SUP / BELOW RES: Price position relative to the latest OB levels.
How to use: Use OB with MAs and Volume. Best when a breakout comes with trend alignment and volume expansion.
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5) Trendline / Channel analysis (context envelope)
Rather than a single diagonal line, this module forms a dynamic channel:
• Finds highest high and lowest low over your Trendline Lookback.
• Builds a midline = (highest + lowest)/2.
• Creates an upper/lower channel by multiplying the range with Channel Width Multiplier.
Signals produced
• UPPER BRK: Price > upper channel (bullish expansion)
• LOWER BRK: Price < lower channel (bearish expansion)
• ABOVE MID / BELOW MID: Bias zone inside channel
How to use: Treat UPPER/LOWER breaks as momentum context. Confirm with MAs and Volume before acting.
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6) Supertrend (ATR-based bias)
• Uses ta.supertrend(ATR Multiplier, ATR Period) on your analysis timeframe.
• Signal:
o BULLISH when Supertrend flips to trend-up state
o BEARISH when it flips to trend-down
Tuning tips:
• Higher ATR Multiplier (e.g., 6) → fewer, higher-quality flips.
• Lower multiplier → more responsive, more noise.
How to use: Use Supertrend as a trend filter. Avoid fighting it unless higher-timeframe context disagrees and you have strong confluence.
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7) Volume/Flow analysis (participation & pressure)
This section combines several volume-based tools:
1. Volume Spike vs MA
o Volume MA Period (default 20)
o Volume Spike Threshold (e.g., 1.5×)
o If current volume / MA > threshold → spike.
2. OBV vs OBV-MA → Accumulation (+) / Distribution (−)
3. VPT vs VPT-MA → Price-volume trend alignment (+/−)
4. MFI(14): >70 (−), <30 (+)
5. Accumulation/Distribution vs its MA → (+/−)
Scoring:
• Big spike with up bar → +2; with down bar → −2
• Each of OBV, VPT, MFI, A/D adds +1 or −1
Interpretation labels:
• HIGH ACC / ACCUM → constructive flow
• HIGH DIST / DISTRIB → selling pressure
• NEUTRAL → no edge
How to use: Favor setups where directional signals + trend + volume point the same way.
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Putting it together — a repeatable reading order
1. Summary: What’s the combined bias?
2. Oscillators: Is momentum supportive or stretched?
3. MAs: Is price aligned with the trend structure?
4. OB & Trendline/Channel: Are we breaking key levels/zones?
5. Supertrend: Is the higher-level bias with you or against you?
6. Volume: Is there participation to confirm the move?
Only act when at least 3–4 sections agree and you can define a logical stop and position size.
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Parameter tuning (step-by-step)
1. Choose timeframe:
o 15–60m for active trading; 4h–1D for swing.
2. Oscillators:
o Keep defaults first; later tighten or loosen thresholds only if you’ve tested.
3. Moving Averages:
o The script’s built-in 0–2% bands around each MA are sensible.
o If your market is very volatile, you can consider widening the 2% threshold to reduce whipsaws (requires code edit).
4. Order Blocks:
o Start with OB Lookback ~50 and Min Touches = 2.
o Increase touches for fewer, stronger zones.
5. Trendline/Channel:
o Longer Trendline Lookback and smaller Channel Width → tighter channel (more breaks).
o Shorter lookback and larger width → fewer breaks.
6. Supertrend:
o If you get too many flips, raise ATR Multiplier.
o If it’s lagging, lower it slightly.
7. Volume:
o For quieter instruments, reduce the Threshold (e.g., 1.2×).
o For very liquid/active markets, 1.5–2.0× works well.
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Example playbooks (for practice)
A) Pro-trend long continuation
• Summary: BUY or STRONG BUY
• MAs: clearly positive
• Supertrend: BULLISH
• OB/Trendline: ABOVE MID or UPPER BRK
• Volume: ACCUM or HIGH ACC
Plan: Enter on a minor pullback; stop below recent structure; scale out at logical resistance.
B) Mean-reversion short (cautious)
• Oscillators: multiple overbought readings (RSI>70, price > BB upper)
• MAs: still positive (trend up), so this is countertrend
• Volume: no spike
Plan: If you must, take smaller size, tighter stop, faster targets. Prefer waiting for alignment instead.
C) Breakout with confirmation
• OB: BULLISH BRK of a known resistance
• Trendline/Channel: UPPER BRK
• Volume: spike with up bar
• Supertrend: recently flipped up
Plan: Enter on retest or structured continuation; define stop under breakout level.
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Common pitfalls to avoid
• Acting on one section alone. Confluence matters.
• Chasing after long candles without volume follow-through.
• Ignoring timeframe alignment. Check the next higher timeframe.
• Oversizing trades just because “Summary = Strong Buy/Sell.”
• Moving stops farther instead of accepting a planned loss.
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Practice & evaluation routine
1. Replay mode (TradingView Bar Replay) to practice reading the tiles in order.
2. Journal each trade: which sections agreed, where stop/target were, outcome.
3. Weekly review: Were losing trades missing confirmation? Did you respect size rules?
4. Iterate cautiously: Change one setting at a time and observe for a week.
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Frequently asked questions
Q: Is the Summary score weighted?
A: Each sub-signal contributes small integers; totals from Oscillators, MAs, and Advanced sections are added without fancy weighting, keeping it transparent.
Q: Can I use this as a standalone system?
A: It’s best used as a decision support layer with your own risk rules, not as a mechanical “buy/sell” machine.
Q: Which timeframe is best?
A: The one that matches your holding period. Always confirm with at least one higher timeframe.
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Suggested classroom flow (for teaching)
1. Session 1: Oscillators only → identify good vs stretched momentum.
2. Session 2: Moving Averages → trend structure and bias.
3. Session 3: OB + Trendline/Channel → location and breakouts.
4. Session 4: Supertrend + Volume → confirmation and participation.
5. Session 5: Confluence building → case studies and journaling.
6. Session 6: Risk management, sizing, and review habits.
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Disclaimer aiTrendview (please read)
This indicator and study material are provided for educational and research purposes only. They do not constitute financial advice, investment recommendations, or a promise of performance. Trading involves substantial risk and may result in losses. Past performance of any method or indicator does not guarantee future results. You are solely responsible for your trading decisions, including risk management, position sizing, and due diligence. Always test ideas in a demo environment before using real capital, and consider consulting a licensed financial advisor.
Ro-Trades EMA 9/21Thanks for using our indicator
Our indicator shows the EMA 9 and the EMA 21 combined into one indicator, this could be used for shortening the amount of indicators you have to use.
How to Use
Using the indicator is simple just add it to your chart (Don't forget to boost and favorite if you like it) and then you can use it to help you see crosses with our VWAP indicator too!
Socials
You can report any bugs on our twitter here x.com
Thanks for reading enjoy!
[Pandora][Swarm] Rapid Exponential Moving AverageENVISIONING POSSIBILITY
What is the theoretical pinnacle of possibility? The current state of algorithmic affairs falls far short of my aspirations for achievable feasibility. I'm lifting the lid off of Pandora's box once again, very publicly this time, as a brute force challenge to conventional 'wisdom'. The unfolding series of time mandates a transcendental systemic alteration...
THE MOVING AVERAGE ZOO:
The realm of digital signal processing for trading is filled with familiar antiquated filtering tools. Two families of filtration, being 'infinite impulse response' (EMA, RMA, etc.) and 'finite impulse response' (WMA, SMA, etc.), are prevalently employed without question. These filter types are the mules and donkeys of data analysis, broadly accepted for use in finance.
At first glance, they appear sufficient for most tasks, offering a basic straightforward way to reduce noise and highlight trends. Yet, beneath their simplistic facade lies a constellation of limitations and impediments, each having its own finicky quirks. Upon closer inspection, identifiable drawbacks render them far from ideal for many real-world applications in today's volatile markets.
KNOWN FUNDAMENTAL FLAWS:
Despite commonplace moving average (MA) popularity, these conventional filters suffer from an assortment of fundamental flaws. Most of them don't genuinely address core challenges of how to preserve the true dynamics of a signal while suppressing noise and retaining cutoff frequency compliance. Their simple cookie cutter structures make them ill-suited in actuality for dynamic market environments. In reality, they often trade one problem for another dilemma, forsaking analytics to choose between distortion and delay.
A deeper seeded issue remains within frequency compliance, how adequately a filter respects (or disrespects) the underlying signal’s spectral properties according to it's assigned periodic parameter. Traditional MAs habitually distort phase relationships, causing delayed reactions with surplus lag or exaggerations with excessive undershoot/overshoot. For applications requiring timely resilience, such as algorithmic trading, these shortcomings are often functionally unacceptable. What’s needed is vigorous filters that can more accurately retain signal behaviors while minimizing lag without sacrificing smoothness and uniformity. Until then, the public MA zoo remains as a collection of corny compromises, rather than a favorable toolbelt of solutions.
P.S.: In PSv7+, in my opinion, many of these geriatric MAs deserve no future with ease of access for the naive, simply not knowing these filters are most likely creating bigger problems than solving any.
R.E.M.A.
What is this? I prefer to think of it as the "radical EMA", definitely along my lines of a retire everything morte algorithm. This isn't your run of the mill average from the petting zoo. I would categorize it as a paradigm shifting rampant economic masochistic annihilator, sufficiently good enough to begin ruthlessly executing moving averages left and right. Um, yeah... that kind of moving average destructor as you may soon recognize with a few 'Filters+' settings adjustments, realizing ordinary EMA has been doing us an injustice all this time.
Does it possess the capability to relentlessly exterminate most averaging filters in existence? Well, it's about time we find out, by uncaging it on the loose into the greater economic wilderness. Only then can we truly find out if it is indeed a radical exponential market accelerant whose time has come. If it is, then it may eventually become a reality erasing monolithic anomaly destined for greatness, ultimately changing the entire landscape of trading in perpetuity.
UNLEASHING NEXT-GEN:
This lone next generation exoweapon algorithm is intended to initiate the transformative beginning stages of mass filtration deprecation. However, it won't be the only one, just the first arrival of it's alien kind from me. Welcome to notion #1 of my future filtration frontier, on this episode of the algorithmic twilight zone. Where reality takes a twisting turn one dimension beyond practical logic, after persistent models of mindset disintegrate into insignificance, followed by illusory perception confronted into cognitive dissonance.
An evolutionary path to genuine advancement resides outside the prison of preconceptions, manifesting only after divergence from persistent binding restrictions of dogmatic doctrines. Such a genesis in transformative thinking will catalyze unbounded cognitive potential, plowing the way for the cultivation of total redesigns of thought. Futuristic innovative breakthroughs demand the surrender of legacy and outmoded understandings.
Now that the world's largest assembly of investors has been ensembled, there are additional tasks left to perform. I'm compelled to deploy this mathematical-weapon of mass financial creation into it's rightful destined hands, to "WE THE PEOPLE" of TV.
SCRIPT INTENTION:
Deprecate anything and everything as any non-commercial member sees desirably fit. This includes your existing code formulations already in working functional modes of operation AND/OR future projects in the works. Swapping is nearly as simple as copying and pasting with meager modifications, after you have identified comparable likeness in this indicators settings with a visual assessment. Results may become eye opening, but only if you dare to look and test.
Where you may suspect a ta.filter() is lacking sufficient luster or may be flat out majorly deficient, employing rema, drema, trema, or qrema configurations may be a more suitable replacement. That's up to you to discern. My code satire already identifies likely bottom of the barrel suspects that either belong in the extinction record or have already been marked for deprecation. They are ordered more towards the bottom by rank where they belong. SuperSmoother is a masterpiece here to stay, being my original go-to reference filter. Everything you see here is already deprecated, including REMA...
REMA CHARACTERISTICS
- VERY low lag
- No overshoot
- Frequency compliant
- Proper initialization at bar_index==0
- Period parameter accepts poitive floating point numerics (AND integers!)
- Infinite impulse response (IIR) filter
- Compact code footprint
- Minimized computational overhead
Zero Lag LSMA 3-Color# Zero Lag LSMA 3-Color Indicator
## Overview
The Zero Lag LSMA (ZLSMA) 3-Color is an advanced trend-following indicator that reduces the lag inherent in traditional Linear Regression Moving Averages (LSMA). This indicator provides clear visual signals through a color-coded system and dot markers to identify trend changes with minimal delay.
## What is Zero Lag LSMA?
Zero Lag LSMA is calculated by applying the Linear Regression Moving Average twice and then compensating for the lag:
1. **First LSMA**: Calculate LSMA of the price data
2. **Second LSMA**: Calculate LSMA of the first LSMA
3. **Zero Lag Calculation**: ZLSMA = LSMA + (LSMA - LSMA2)
This method significantly reduces the delay while maintaining the smoothness of the trend line.
## Features
### Color-Coded Trend System
- **Fluorescent Green** (`RGB(0, 255, 0)`): Uptrend - ZLSMA is rising
- **Fluorescent Red** (`RGB(255, 20, 60)`): Downtrend - ZLSMA is falling
- **Gray**: Sideways/Neutral - No clear directional bias
### Trend Change Markers
- **Tiny dots** appear at the exact moment when the trend direction changes
- **Green dots**: Mark the beginning of an uptrend
- **Red dots**: Mark the beginning of a downtrend
### Customizable Parameters
- **Length**: Period for ZLSMA calculation (default: 20)
- **Line Width**: Thickness of the ZLSMA line (default: 2)
- **Show/Hide Toggle**: Option to display or hide the indicator
## Trading Applications
### Trend Identification
- **Green line**: Look for long opportunities
- **Red line**: Look for short opportunities
- **Gray line**: Consider range-bound strategies
### Entry Signals
- **Dot markers** provide precise entry points when trend changes occur
- Green dots can signal potential buy entries
- Red dots can signal potential sell entries
### Trend Confirmation
- Use ZLSMA color changes to confirm other technical analysis signals
- The reduced lag helps traders enter trends earlier than traditional moving averages
## Advantages Over Traditional Moving Averages
1. **Reduced Lag**: Responds faster to price changes than standard moving averages
2. **Clear Visualization**: Color-coding makes trend direction immediately apparent
3. **Precise Timing**: Dot markers highlight exact trend change moments
4. **Smooth Operation**: Maintains smoothness while reducing whipsaws
## Best Practices
### Timeframe Usage
- Works effectively on all timeframes
- Higher timeframes provide more reliable signals
- Lower timeframes offer more trading opportunities but may have more noise
### Risk Management
- Always use proper stop-loss levels
- Consider the overall market context
- Combine with other technical analysis tools for confirmation
### Settings Optimization
- **Shorter periods** (10-15): More sensitive, faster signals
- **Longer periods** (25-50): More stable, fewer false signals
- **Standard period** (20): Good balance between sensitivity and stability
## Alert Conditions
The indicator includes built-in alert conditions for:
- ZLSMA turning upward (trend change to bullish)
- ZLSMA turning downward (trend change to bearish)
## Compatibility
- **Platform**: TradingView
- **Script Version**: Pine Script v6
- **Chart Type**: Works on all chart types
- **Markets**: Suitable for Forex, Stocks, Crypto, Commodities, and Indices
## Disclaimer
This indicator is for educational and informational purposes only. It should not be considered as financial advice. Always conduct your own research and consider your risk tolerance before making trading decisions. Past performance does not guarantee future results.
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Momentum_EMABand📢 Reposting Notice
I am reposting this script because my earlier submission was hidden due to description requirements under TradingView’s House Rules. This updated version fully explains the originality, the reason for combining these indicators, and how they work together. Follow me for future updates and refinements.
🆕 Momentum EMA Band, Rule-Based System
Momentum EMA Band is not just a mashup — it is a purpose-built trading tool for intraday traders and scalpers that integrates three complementary technical concepts into a single rules-based breakout & retest framework.
Originality comes from the specific sequence and interaction of these three filters:
Supertrend → Sets directional bias.
EMA Band breakout with retest logic → Times precise entries.
ADX filter → Confirms momentum strength and avoids noise.
This system is designed to filter out weak setups and false breakouts that standalone indicators often fail to avoid.
🔧 How the Indicator Works — Combined Logic
1️⃣ EMA Price Band — Dynamic Zone Visualization
Plots upper & lower EMA bands (default: 9-period EMA).
Green Band → Price above upper EMA = bullish momentum
Red Band → Price below lower EMA = bearish pressure
Yellow Band → Price within band = neutral zone
Acts as a consolidation zone and breakout trigger level.
2️⃣ Supertrend Overlay — Reliable Trend Confirmation
ATR-based Supertrend adapts to volatility:
Green Line = Uptrend bias
Red Line = Downtrend bias
Ensures trades align with the prevailing trend.
3️⃣ ADX-Based No-Trade Zone — Choppy Market Filter
Manual ADX calculation (default: length 14).
If ADX < threshold (default: 20) and price is inside EMA Band → gray background marks low-momentum zones.
🧩 Why This Mashup Works
Supertrend confirms trend direction.
EMA Band breakout & retest validates the breakout’s strength.
ADX ensures the market has enough trend momentum.
When all align, entries are higher probability and whipsaws are reduced.
📈 Example Trade Walkthrough
Scenario: 5-minute chart, ADX threshold = 20.
Supertrend turns green → trend bias is bullish.
Price consolidates inside the yellow EMA Band.
ADX rises above 20 → trend momentum confirmed.
Price closes above the green EMA Band after retesting the band as support.
Entry triggered on candle close, stop below band, target based on risk-reward.
Exit when Supertrend flips red or ADX momentum drops.
This sequence prevents premature entries, keeps trades aligned with trend, and avoids ranging markets.
🎯 Key Features
✅ Multi-layered confirmation for precision trading
✅ Built-in no-trade zone filter
✅ Fully customizable parameters
✅ Clean visuals for quick decision-making
⚠ Disclaimer: This is Version 1. Educational purposes only. Always use with risk management.
Supertrend EMA Vol Strategy V5### Supertrend EMA Strategy V5
**Overview**
This is a trend-following strategy designed for cryptocurrency markets like BTC/USD on daily timeframes, combining the Supertrend indicator for dynamic trailing stops with an EMA filter for trend confirmation. It aims to capture strong uptrends while avoiding counter-trend trades, with optional volume filtering for high-conviction entries and ATR-based stop-loss to manage risk. Ideal for long-only setups in bullish assets, it visually highlights trends with green/red bands and fills for easy interpretation. Backtested on BTC from 2024-2025, it shows potential for outperforming buy-and-hold in trending markets, but always use with proper risk management—past performance isn't indicative of future results.
**Key Features**
- **Supertrend Core**: Uses ATR to plot adaptive uptrend (green) and downtrend (red) lines, flipping on closes beyond prior bands for buy/sell signals.
- **EMA Trend Filter**: Entries require price above the EMA (default 21-period) for longs, ensuring alignment with the broader trend.
- **Volume Confirmation**: Optional filter only allows entries when volume exceeds its EMA (default 20-period), reducing false signals in low-activity periods.
- **Risk Controls**: Built-in ATR-multiplier stop-loss (default 2x) to cap losses; exits on Supertrend flips for trailing profits.
- **Visuals**: Green/red lines and highlighter fills for up/down trends, plus buy/sell labels and circles for signals.
- **Customizable Inputs**: Tweak ATR period (default 10), multiplier (default 3), EMA length, start date, long/short toggles, SL, and volume filter.
- **Alerts**: Built-in for buy/sell and direction changes.
**How to Use**
1. Add to your TradingView chart (e.g., BTC/USD 1D).
2. Adjust inputs: Start with defaults for trend-following; increase multiplier for fewer trades/higher win rate. Enable volume filter for volatile assets.
3. Monitor signals: Green "Buy" for long entries (if close > EMA and conditions met); red "Sell" for exits.
4. Backtest in Strategy Tester: Focus on equity curve, win rate (~50-60% in tests), and drawdown (<15% with SL).
5. Live Trading: Use small position sizes (1-2% risk per trade); combine with your analysis. Shorts disabled by default for bull-biased markets.
Trend Impulse Tester | Trend–Impulse–No-Chop (In development) Trend strategy. Regulate your entry and make the drawdown less than 3%, entry at % of capital. Currently under development.
Used on cryptocurrency. The 30 min timeframe was used. Adjust the values yourself, settings are provided
EMA VWAP Crossover Sell SignalsPine Script indicator for spotting low-risk, high-reward short setups. Best used on 3-minute candlesticks for scalping, this tool combines Exponential Moving Averages (EMAs) with VWAP (Volume Weighted Average Price) and multiple resistance band levels to identify overextended conditions and early reversal opportunities.
## ✨ Features
- **Optimized for Scalping**:
- Designed for fast-paced intraday trading on 3-minute charts.
- **EMA Crossunder Detection**:
- Configurable fast and slow EMAs to identify bearish momentum shifts.
- **VWAP Resistance Zones**:
- Three dynamic upper bands calculated using Standard Deviation or Percentage.
- **Signal Classification**:
- Different shades of red to indicate severity of overextension.
- **Stop-Loss Alerts**:
- Marks “WRONG” if the trade moves against you beyond a set amount.
- **Customizable Parameters**:
- EMA lengths, VWAP anchor, band multipliers, and calculation mode.
---
## 🛠 How It Works
1. **EMA Crossunder** — Fast EMA crosses below Slow EMA = potential bearish reversal.
2. **Resistance Zone Check** — Price must be at or above VWAP, near defined resistance bands.
3. **Signal Classification**:
- **Band 1–2** = mild overextension, early warning.
- **Band 2–3** = stronger overextension, higher conviction.
- **Above Band 3** = extreme overextension, highest conviction.
4. **Stop-Loss Marking**:
- If price rallies by a set amount after a signal, label as “WRONG” for review.
---
## ⚡ Use Cases
- **Scalping short entries** during intraday reversals.
- **Taking profits** on long positions at potential exhaustion points.
- Filtering trades with both **trend (EMA)** and **mean reversion (VWAP)** signals.
---
## 📋 Inputs
| Input | Description | Default |
|-----------------------------|-----------------------------------------------|---------|
| EMA Length 1 | Fast EMA length | 9 |
| EMA Length 2 | Slow EMA length | 21 |
| Anchor Period | VWAP reset period (Session/Week/Month) | Session |
| Bands Calculation Mode | Standard Deviation or Percentage | SD |
| Band Multipliers (#1, #2, #3)| Resistance zone distance multipliers | 1, 2, 3 |
👤 Author - EmotionalTrader
- Futures trader, Python learner, aspiring asset trader, horse whisperer, space cowboy
- (www.tradingview.com)
- (github.com)
EMA Deviation with Min/Max Levelshis indicator visualizes the percentage deviation of the closing price from its Exponential Moving Average (EMA), helping traders identify overbought and oversold conditions. It dynamically tracks the minimum and maximum deviation levels over a user-defined lookback period, highlighting extreme zones with color-coded signals:
• 🔵 Normal deviation range
• 🔴 Near historical maximum — potential sell zone
• 🟢 Near historical minimum — potential buy zone
Use it to spot price extremes relative to trend and anticipate possible reversals or mean reversion setups.
EMA VWAP crossover Buy signalsEMA VWAP Crossover Buy Signals
A TradingView Pine Script indicator designed for low-risk, high-reward scalping setups.
Best used on 3-minute candlesticks, this tool combines Exponential Moving Averages (EMAs) with VWAP (Volume Weighted Average Price) and multiple support band levels to pinpoint high-probability buy entries during intraday trading.
✨ Features
Optimized for Scalping:
Specifically tuned for 3-minute candlestick charts
EMA Cross Detection:
Two configurable EMAs (fast and slow) to identify bullish momentum shifts
VWAP Support Zones:
Three dynamic lower bands calculated using Standard Deviation or Percentage
Helps identify oversold levels relative to VWAP
Signal Classification:
Different shades of green for varying oversold intensities
Stop-Loss Alerts:
Marks “WRONG” if the trade moves against you beyond a set amount
Customizable Parameters:
EMA lengths, VWAP anchor, band multipliers, and calculation mode
🛠 How It Works
EMA Crossover — Fast EMA crosses above Slow EMA = potential bullish reversal.
Support Zone Check — Price must be at or below VWAP, near defined support bands.
Signal Classification:
Band 1–2 = mild oversold, early signal
Band 2–3 = deeper oversold, stronger signal
Below Band 3 = extreme oversold, highest conviction
Stop-Loss Marking:
If price drops by a set amount after signal, label as “WRONG” for trade review.
⚡ Use Cases
Intraday scalping in volatile markets.
Dip buying during strong trends.
Filtering entries using both trend (EMA) and mean reversion (VWAP) signals.
📋 Inputs
Input Description Default
EMA Length 1 Fast EMA length 9
EMA Length 2 Slow EMA length 21
Anchor Period VWAP reset period (Session/Week/Month) Session
Bands Calculation Mode Standard Deviation or Percentage SD
Band Multipliers (#1, #2, #3) Support zone distance multipliers 1, 2, 3
📦 Installation
Copy the code from EMA-VWAP-Crossover-Buy-Signals.pine
Open TradingView
Go to Pine Editor
Paste the code and click Add to Chart
Save the script to your account
(or simply use the direct link above)
[teachershim] draw sma 9/25/50/100/200/400📌 Description — draw sma 9/25/50/100/200/400
This indicator displays Simple Moving Averages (SMA) for periods 9, 25, 50, 100, 200, and 400 on the chart.
It also marks the last confirmed bar’s SMA values with circular dots positioned to the right by a user-defined offset,
and labels each dot with the SMA period number for quick visual reference.
🔹 Features
SMA Lines
Plots SMA lines for periods 9 / 25 / 50 / 100 / 200 / 400 in distinct colors and thickness.
Last Value Markers
Adds circular markers (dots) at the SMA value of the last confirmed bar, shifted right by the specified offset.
SMA Period Labels
Displays the SMA period number (e.g., "9", "25", "50") just above each dot.
Customizable Parameters
Right offset for marker placement.
Vertical gap between marker and label (in percentage of chart range).
🔹 Parameters
Right Offset: Number of bars to place the marker/label to the right of the last bar.
Text Vertical Gap (%): Percentage offset to position the label above the dot.
🔹 Colors & Line Thickness
SMA 9 → Teal, thickness 1
SMA 25 → Orange, thickness 2
SMA 50 → Blue, thickness 2
SMA 100 → Purple, thickness 1
SMA 200 → Red, thickness 2
SMA 400 → Gray, thickness 1
🔹 Use Cases
Quickly identify key support/resistance levels across multiple SMA periods.
Instantly see the current SMA values without hovering over the chart.
Monitor SMA alignment and spacing for trend analysis or trading setups.
💡 Notes
If the right offset is too large, ensure your chart’s right margin is wide enough to display the markers.
max_labels_count in Pine Script limits how many labels can be displayed at once.
If you want, I can also make you a shorter, more concise “marketplace style” version for TradingView’s public library so it’s punchier and attracts more clicks.
Do you want me to prepare that?
Trend+Volume Confluence IndicatorScalper and swing trading signals: use the 15–30 minute charts for scalps and the 4–8 hour charts for swings. Add the Money Flow Index (MFI) for extra confluence. In an uptrend, if the MFI is at or above the halfway mark and rising, take the long. In a downtrend, if the MFI is at or below the halfway mark and falling, take the short.
Hull Suite Strategy – 1% Risk, [Mark804]Catch trends early. Exit only on reversal.
This Hull Suite Strategy uses ultra-smooth HMA, EHMA, or THMA signals to ride big moves with minimal noise. Risk just 1% per trade, keep positions open until the market truly flips — no premature exits, no guesswork.
Hull Suite Strategy – 1% Risk (No SL/TP)
A clean trend-following system built on the Hull Moving Average and its powerful variations (HMA, EHMA, THMA) for fast, smooth, and low-lag signals. The strategy automatically flips between long and short positions based on trend reversals, using just 1% equity risk per trade.
Features:
Hull Variations – test HMA, EHMA, or THMA for your market.
Automatic Trend Switching – enter and exit only on confirmed reversals.
No Fixed SL/TP – ride trends as long as they last.
Optional Trend-Colored Candles – for quick, visual market direction.
Clear Bull/Bear Line Coloring – instantly see the trend bias.
Perfect for traders who prefer to let winners run and avoid fixed take profit limits, with a focus on pure trend action and minimal lag.
EMA20/50/200 + RSI Swing (Trend Filter)Using three different MA to identify the trend and enter when RSI under 70 or over 30
MK_OSFT - Multi-timeframe MA Lines with labelsProvides SMA/EMA levels on a chart for the 5m, 15m, 1H and 4H timeframes. It does not draw the full MA's on the chart but provides 'only' the actual MA values at the current candle as a horizontal line with a label.
Buy & Sell Arrows with Candle Line [mark804]Catch RSI reversals the moment they happen!"
Buy & Sell Arrows with Candle Line
A clean, visual RSI signal tool that plots Buy arrows when RSI crosses above oversold (30) and Sell arrows when RSI crosses below overbought (70).
For each signal, it also draws a small colored line from the candle to the label, making it easy to see exactly where signals occurred.
Features:
Buy arrow & label when RSI crosses above 30 (oversold exit)
Sell arrow & label when RSI crosses below 70 (overbought exit)
Simple visual lines linking signal to candle for clarity
Works on any chart timeframe or symbol
Best for: quick visual spotting of RSI reversal opportunities without clutter.
5 EMA Color Candle B Dadasaheb//@version=5
indicator("No Touch 5 EMA Candle Color", shorttitle="NoTouch5EMA", overlay=true)
// Inputs
emaLen = input.int(5, "EMA Length", minval=1)
bullColor = input.color(color.blue, "Bull No-Touch Color")
bearColor = input.color(color.red, "Bear No-Touch Color")
showEMA = input.bool(true, "Show EMA")
// Compute EMA
ema5 = ta.ema(close, emaLen)
// Conditions: candle does NOT touch the EMA (entire candle on one side)
noTouchBull = low > ema5 // entire candle above EMA
noTouchBear = high < ema5 // entire candle below EMA
// Color series (use na when not no-touch)
candleColor = noTouchBull ? bullColor : noTouchBear ? bearColor : na
// Apply color to bars
barcolor(candleColor)
// Plot EMA for reference (using conditional color to hide if not wanted)
plot(showEMA ? ema5 : na, title="EMA5", linewidth=2, color=color.orange)
200 EMA w/ Ticker Memory200 EMA w/ Ticker Memory — Multi-Symbol & Multi-Timeframe EMA Tracker with Alerts
Overview
The 200 EMA w/ Ticker Memory indicator allows you to monitor the 200-period Exponential Moving Average (EMA) across multiple symbols and timeframes. Designed for traders managing multiple tickers, it provides customizable timeframe inputs per symbol and instant alerts on price touches of the 200 EMA.
Key Features
Multi-symbol support: Configure up to 20 different symbols, each with its own timeframe setting.
Flexible timeframe input: Assign specific timeframes per symbol or use a default timeframe fallback.
Accurate 200 EMA calculation: Uses request.security to fetch 200 EMA from the symbol-specific timeframe.
Visual EMA plots: Displays both the EMA on the selected timeframe and the EMA on the current chart timeframe for comparison.
Touch alerts: Configurable alerts when price “touches” the 200 EMA within a user-defined sensitivity percentage.
Ticker memory: Remembers your configured symbols and displays them in an on-chart table.
Compact info table: Displays current symbol status, alert settings, and timeframe in a clean, transparent table overlay.
How to Use
Configure Symbols and Timeframes:
Input your desired symbols (up to 20) and their respective timeframes under the “Symbol Settings” groups in the indicator’s settings pane.
Set Default Timeframe:
Choose a default timeframe to be used when no specific timeframe is assigned for a symbol.
Adjust Alert Settings:
Enable or disable alerts and set the touch sensitivity (% distance from EMA to trigger alerts).
Alerts
Alerts trigger once per bar when the price touches the 200 EMA within the defined sensitivity threshold.
Alert messages include:
Symbol / Current price / EMA value / EMA timeframe used / Chart timeframe / Timestamp
Customization
200 EMA Color: Change the line color for better visibility.
Touch Sensitivity: Fine-tune how close price must be to the EMA to count as a touch (default 0.1%).
Enable Touch Alerts: Turn on/off alert notifications easily.
For:
- Swing traders monitoring multiple stocks or assets.
- Day traders watching key EMA levels on different timeframes.
- Analysts requiring a quick visual and alert system for 200 EMA touches.
- Portfolio managers tracking key technical levels across various securities.
Limitations
Supports up to 20 configured symbols (can be extended manually if needed).
Works best on charts with reasonable bar frequency due to request.security usage.
Alert frequency is limited to once per bar for clarity.
Disclaimer
This indicator is provided “as-is” for educational and informational purposes only. It does not guarantee trading success or financial gain.
BTC Correlation PercentagePurpose
This indicator displays the correlation percentage between the current trading instrument and Bitcoin (BTC/USDT) as a text label on the chart. It helps traders quickly assess how closely an asset's price movements align with Bitcoin's fluctuations.
Key Features
Precise Calculation: Shows correlation as a percentage with one decimal place (e.g., 25.6%).
Customizable Appearance: Allows adjustment of colors, position, and calculation period.
Clean & Simple: Displays only essential information without cluttering the chart.
Universal Compatibility: Works on any timeframe and with any trading pair.
Input Settings
Core Parameters:
BTC Symbol – Ticker for Bitcoin (default: BINANCE:BTCUSDT).
Correlation Period – Number of bars used for calculation (default: 50 candles).
Show Correlation Label – Toggle visibility of the correlation label.
Visual Customization:
Text Color – Label text color (default: white).
Background Color – Label background color (default: semi-transparent blue).
Border Color – Border color around the label (default: gray).
Label Position – Where the label appears on the chart (default: top-right).
Interpreting Correlation Values
70% to 100% → Strong positive correlation (asset moves in sync with BTC).
30% to 70% → Moderate positive correlation.
-30% to 30% → Weak or no correlation.
-70% to -30% → Moderate negative correlation (asset moves opposite to BTC).
-100% to -70% → Strong negative correlation.
Practical Use Cases
For Altcoins: A correlation above 50% suggests high dependence on Bitcoin’s price action.
For Futures Trading: Helps assess systemic risks tied to BTC movements.
During High Volatility: Determines whether an asset’s price change is driven by its own factors or broader market trends.
How It Works
The indicator recalculates automatically with each new candle. For the most reliable results, it is recommended for use on daily or higher timeframes.
This tool provides traders with a quick, visual way to gauge Bitcoin’s influence on other assets, improving decision-making in crypto markets. 🚀
This response is AI-generated, for reference only.
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AURA AI v1Advanced multi-signal indicator with AI-inspired confidence filtering and adaptive trend detection. Combines classic technical tools with smart filtering to deliver clean, prioritized trade signals and a minimalist dashboard.
Multiple signal tiers (Primary, Secondary, Scalp)
Confidence-based alerts with cooldowns and filters
Customizable EMAs and multi-timeframe trend analysis
Lightweight, efficient, and designed for retail traders who want actionable info without clutter
Use it to spot high-probability setups and stay ahead without drowning in noise.
