Optimum EMAs x3Function Review
Optimum EMAs x3 scores EMA-price reactions via bullish/bearish percentages. Plots test (purple), bull/bear fast/medium/slow EMAs with toggles/individual colors, three adjustable gradient fills, and reaction table for multi-band analysis.
Usage Write-Up
Set fast (5-15), medium (10-20), slow (15-30) ranges per strategy. Test values via Test EMA for peak scores. Input optima to bull/bear fast/medium/slow for reactive three-band envelope (bullish supports, bearish resistances), refining signals in varied trends.
تحليل الاتجاه
Market Structure Signals (HH/HL/LH/LL) - PreciseShows higher highs, higher lows, lower highs and lower lows for an easier visual understanding of price structure
Parabolic SAR MTF LinesThe indicator shows the Parabolic SAR sign (price above or below the indicator) for several timeframes at once. You can see at a glance how the price is trending across higher and lower timeframes.
Note that, for lower timeframes, the line becomes yellow to the left because history is limited and there are not enough bars to calculate.
Other features (can be enabled in settings):
* each line can be enabled or disabled individually, so that unused ones can be hidden.
* simple trend detection based on the number of bullish and bearish timeframes; threshold can be changed in Settings.
* "Score" output: counting the net number of bullish and bearish timeframes
* "Trend" output: changes to bullish or bearish as the score goes over or under the threshold
* background color (green or red according to trend).
* alert for trend change.
* another alert with a separate threshold score for flexibility.
* score weights for further customization of trend detection and alerts. Input parameters are set in terms of score values instead of number of lines.
* input options to choose alert modes for trend and extra alerts. The options are "once per bar close" (default), "once per bar", "every time".
This indicator was based on MACD MTF Lines where all the logic and features came from.
Optimum EMAs x2Function Review
Optimum EMAs assesses EMA-price interactions by scoring reaction percentages for bullish/bearish touches. Creates EMA bands (top: most reactive bearish EMA as resistance; bottom: most reactive bullish EMA as support) with customizable test/bull/bear fast/slow EMAs, toggles, adjustable colors/gradients, and reaction table.
Usage Write-Up
Define fast (e.g., 5-15) and slow (e.g., 15-30) EMA ranges based on strategy. Scan with Test EMA for high reaction scores. Set optima in Bull/Bear Fast/Slow inputs to form reactive EMA bands (bullish top support, bearish bottom resistance), enhancing trend signals in bull/bear markets.
Michal D. Lagless Moving Average | MisinkoMasterThe 𝕸𝖎𝖈𝖍𝖆𝖑 𝕯. 𝕷𝖆𝖌𝖑𝖊𝖘𝖘 𝕸𝖔𝖛𝖎𝖓𝖌 𝕬𝖛𝖊𝖗𝖆𝖌𝖊 is my latest creation of a trend following tool, which is a bit different from the rest. By trying to de-lag the classical moving average, it gives you fast signals on changes in trend as fast as possible, keeping traders & investors always in check for potential risks they might want to avoid.
How does it work?
First we need to calculate lengths. The lengths are calcuted using a user defined input called the "Length Multiplier" and we of course need as well the length input too.
The indicator uses 10 lengths, 5 for an average price, 5 for median price.
The length for the average is the following:
length_2_avg = length_1_avg * length_multiplier
length_3_avg = length_2_avg * length_multiplier
...
and for the median lengths:
length_1_median = length_2_avg
length_2_median = length_3_avg
Here applies this rule
length_x_median < length_x_avg
This is intentional, and it is because the average is a little more reactive, while the median is a bit slower. To make up for the "slowness" of the median, we simple reduce the length of it a bit more than the average.
Now that we have our length we are ready to calculate averages and medians over their respective period. This is the a normal average from elementary school, nothing too fancy.
Now that we have all of them we match the pairs using another user defined input called "Median Weight" like so:
(Average_x * (2-median_weight) + Median_x * median_weight)/2
This gives more weight to the average (also due to the max value limit set to avoid breaking the fundational logic behind it).
After doing it to all the pairs we now average those pairs using another input called "Exponential Weight Multiplier".
The Exponential Weight Multiplier is used for weights which I will cover soon:
weight1 = weight
weight2 = weight * weight
weight3 = weight * weight * weight....
This is done until we have all the weights calculated
This gives exponentially more weight to the less lagging indicators, which is how we delag the indicator.
Then we sum all the pairs like so:
sum = pair1 * weight1 + pair2 * weight2 + pair3 * weight3 + pair4 * weight4 + pair5 * weight5
Then the sum is divided by the sum of weights, this results in us getting the final value.
Methodology & What is the actual point & how was it made?
I want to cover this one a bit deeper:
The methodology behind this was creating an indicator that would not be lagging, and would be able to avoid lag while not producing signals too often.
In many attempts in the first part, I tried using EMA, RMA, DEMA, TEMA, HMA, SMA and so on, but they were too noisy (except for SMA & RMA, but those had their flaws), so I tried the classical average taught in elementary school. This one worked better, but the noise was too high still after all this time. This made me include the median, which helped the noise, but made it far too lagging.
Here came the idea of making the median length lower and adding weights to counter the lag of the median, but it was still too lagging. This made me make the weights for lengths more exponential, while previously they were calculated using a little bit amplified sums that were alright, but nowhere near my desired result.
Using the new weights I got further, and after a bit of testing I was sattisfied with the results.
The logic for the trend was a big part in my development part, there were many I could think of, but not enough time to try them, so I stuck to the usual one, and I leave it up to YOU to beat my trend logic and get even better results.
Use Cases:
- Price/MA Crossovers
Simple, effective, useful
- Source for other indicators
This I tried myself, and it worked in a cool way, making the signals of for example RSI much smoother, so definitely try it out if you know how to code, or just simply put it in the source of the RSI.
- ROC
This trend logic stuck with me, I think you could find a way to make it good, but mainly for the people that can code in pine, trying out to combine the trend logic with ROC could work very well, do not sleep on it!
- Education
This concept is not really that complex, so for people looking for new ideas, inspiration, or just watching how trend following tools behave in general this is something that could benefit anyone, as the concept can be applied to ANYTHING, even the classical RSI, MACD, you could try even the Parabolic SAR, maybe STC or VZO, there is no limit to imagination.
- Strategy creation
Filtering this indicator with "and" conditions, or maybe even "or" or anything really could be very useful in a strategy that desires fast signals.
- Price Distance from bands
I noticed this while looking at past performance:
The stronger the trend the higher the distance from the Moving Average.
Final Notes
Watch out for mean reverting markets, as this is trend following you could get easily screwed in them.
Play around with this if it fits your desired outcome, you might find something I did not.
Hope you find it useful,
See you next time!
Adaptive Trend Breaks Adaptive Trend Breaks
## WHAT IT DOES
This script is a modified and enhanced version of "Trendline Breakouts With Targets" concept by ChartPrime.
Adaptive Trend Breaks (ATB) is a trendline breakout system optimized for scalping liquid futures contracts. The indicator automatically draws dynamic support and resistance trendlines based on pivot points, then generates trade signals when price breaks through these levels with confirmation filters. It includes automated target and stop-loss placement with real-time P&L tracking in dollars.
## HOW IT WORKS
**Trendline Detection Method:**
The indicator uses pivot high/low detection to identify significant price turning points. When a new pivot forms, it calculates the slope between consecutive pivots to draw dynamic trendlines. These lines extend forward based on the established trend angle, creating actionable support and resistance zones.
**Band System:**
Around each trendline, the script creates a "band" using a volatility-adjusted calculation: `ATR(14) * 0.2 * bandwidth multiplier / 2`. This adaptive band accounts for current market conditions - wider during volatile periods, tighter during quiet markets.
**Breakout Logic:**
A breakout signal triggers when:
1. Price closes beyond the trendline + band zone
2. Volume exceeds the 20-period moving average by your set multiplier (default 1.2x)
3. Price is within Regular Trading Hours (9:30-16:00 EST) if session filter enabled
4. Current ATR meets minimum volatility threshold (prevents trading dead markets)
**Target & Stop Calculation:**
Upon breakout confirmation:
- **Entry**: Trendline breach point
- **Target**: Entry ± (bandwidth × target multiplier) - default 8x for quick scalps
- **Stop**: Entry ± (bandwidth × stop multiplier) - default 8x for 1:1 risk/reward
- Multipliers adjust automatically to market volatility through the ATR-based band
**P&L Conversion:**
The script converts point movements to dollars using:
```
Dollar P&L = (Price Points × Contract Point Value × Quantity)
```
For example, a 10-point NQ move with 2 contracts = 10 × $20 × 2 = $400
## HOW TO USE IT
**Setup:**
1. Select your instrument (NQ/ES/YM/RTY) - point values auto-configure
2. Set contract quantity for accurate dollar P&L
3. Choose pivot period (lower = more signals but more noise, default 5 for scalping)
4. Adjust bandwidth multiplier if trendlines are too tight/loose (1-5 range)
**Filters Configuration:**
- **Volume Filter**: Requires breakout volume > moving average × multiplier. Increase multiplier (1.5-2.0) for higher conviction trades
- **Session Filter**: Enable to trade only RTH. Disable for 24-hour trading
- **ATR Filter**: Prevents signals during low volatility. Increase minimum % for more active markets only
**Risk Management:**
- Set target/stop multipliers based on your risk tolerance
- 8x bandwidth = approximately 1:1 risk/reward for most liquid futures
- Enable trailing stops for trend-following approach (moves stop to protect profits)
- Adjust line length to see targets further into the future
**Statistics Table:**
- Choose timeframe to analyze: all-time, today, this week, custom days
- Monitor win rate, profit factor, and net P&L in dollars
- Track long vs short performance separately
- See real-time unrealized P&L on active trades
**Reading Signals:**
- **Green triangle below bar** = Long breakout (resistance broken)
- **Red triangle above bar** = Short breakout (support broken)
- **White dashed line** = Entry price
- **Orange line** = Take profit target with dollar value
- **Red line** = Stop loss with dollar value
- **Green checkmark (✓)** = Target hit, winning trade
- **Red X (✗)** = Stop hit, losing trade
## WHAT IT DOES NOT DO
**Limitations to Understand:**
- Does not predict future trendline formations - it reacts to breakouts after they occur
- Historical trendlines disappear after breakout (not kept on chart for clarity)
- Requires sufficient volatility - may not signal in extremely quiet markets
- Volume filter requires exchange volume data (not available on all symbols)
- Statistics are indicator-based simulations, not actual trading results
- Does not account for slippage, commissions, or order fills
## BEST PRACTICES
**Recommended Settings by Market:**
- **NQ (Nasdaq)**: Default settings work well, consider volume multiplier 1.3-1.5
- **ES (S&P 500)**: Slightly slower, try period 7-8, volume 1.2
- **YM (Dow)**: Lower volatility, reduce bandwidth to 1.5-2
- **RTY (Russell)**: Higher volatility, increase bandwidth to 3-4
**Risk Management:**
- Never risk more than 2-3% of account per trade
- Use contract quantity calculator: Max Risk $ ÷ (Stop Distance × Point Value)
- Start with 1 contract while learning the system
- Backtest your specific timeframe and instrument before live trading
**Optimization Tips:**
- Increase pivot period (7-10) for fewer but higher-quality signals
- Raise volume multiplier (1.5-2.0) in choppy markets
- Lower target/stop multipliers (5-6x) for tighter profit taking
- Use trailing stops in strong trending conditions
- Disable session filter for overnight gaps and Asia session moves
## TECHNICAL DETAILS
**Key Calculations:**
- Pivot Detection: `ta.pivothigh(high, period, period/2)` and `ta.pivotlow(low, period, period/2)`
- Slope Calculation: `(newPivot - oldPivot) / (newTime - oldTime)`
- Adaptive Band: `min(ATR(14) * 0.2, close * 0.002) * multiplier / 2`
- Breakout Confirmation: Price crosses trendline + 10% of band threshold
**Data Requirements:**
- Minimum bars in view: 500 for proper pivot calculation
- Volume data required for volume filter accuracy
- Intraday timeframes recommended (1min - 15min) for scalping
- Works on any timeframe but optimized for fast execution
**Performance Metrics:**
All statistics calculate based on indicator signals:
- Tracks every signal as a trade from entry to TP/SL
- P&L in actual contract dollar values
- Win rate = (Winning trades / Total trades) × 100
- Profit factor = Gross profit / Gross loss
- Separates long/short performance for bias analysis
## IDEAL FOR
- Futures scalpers and day traders
- Traders who prefer visual trendline breakouts
- Those wanting automated TP/SL placement
- Traders tracking performance in dollar terms
- Multiple timeframe analysis (compare 1min vs 5min signals)
## NOT SUITABLE FOR
- Swing trading (targets too close)
- Stocks/forex without modifying point values
- Extremely low timeframes (<30 seconds) - too much noise
- Markets without volume data if using volume filter
- Illiquid contracts (signals may not execute at shown prices)
---
**Settings Summary:**
- Core: Period, bandwidth, extension, trendline style
- Filters: Volume, RTH session, ATR volatility
- Risk: R:R ratio, target/stop multipliers, trailing stop
- Display: Stats table position, size, colors
- Stats: Timeframe selection (all-time to custom days)
**License:** This indicator is published open-source under Mozilla Public License 2.0. You may use and modify the code with proper attribution.
**Disclaimer:** This indicator is for educational purposes. Past performance does not guarantee future results. Always practice proper risk management and test thoroughly before live trading.
---
## CREDITS & ATTRIBUTION
This script builds upon the "Trendline Breakouts With Targets" concept by ChartPrime with significant enhancements:
**Major Improvements Added:**
- **Futures-Specific Calculations**: Automated dollar P&L conversion using actual contract point values (NQ=$20, ES=$50, YM=$5, RTY=$50)
- **Advanced Statistics Engine**: Comprehensive performance tracking with customizable timeframe analysis (today, week, month, custom ranges)
- **Multi-Layer Filtering System**: Volume confirmation, RTH session filter, and ATR volatility filter to reduce false signals
- **Professional Trade Management**: Enhanced visual trade tracking with separate TP/SL lines, dollar value labels, and optional trailing stops
- **Optimized for Scalping**: Faster pivot periods (5 vs 10), tighter bands, and reduced extension bars for quick entries
Original trendline detection methodology by ChartPrime - used with modification under Mozilla Public License 2.0.
Weekly Breakout Screenermencari harga saham yang kuat breakout harga mingguan. potensi swing trading
VWAP HMA Trends
It visually syncs Trend, VWAP, and Confidence — giving you instant clarity to trade with calm precision.
⚙️ The Three Core Gauges:
1. 📈 Trend Green for up, Red for down (Trend: Confirms direction)
2. 💰 VWAP Price vs. Volume Weighted Average Price. Institutional Fair Value. (Bull or Bear)
3. 🎯 Confidence Agreement between trend & VWAP. Dont fight the trend.
Bonus Feature: Confidence Turns 🟢 Confident when aligned, 🟡 Cautious when mixed.
Together, these create a clean, visual readout of the market’s health.
🧩 How to Use
Watch the Color Flow:
🟢 Green Cloud → Buyers in control.
🔴 Red Cloud → Sellers in control.
Check VWAP (Orange Line):
Price above VWAP → bullish strength.
Price below VWAP → bearish control.
Hovering at VWAP → indecision. Wait.
---
Act With Discipline:
Trade only when all gauges agree.
Add size only in Confident conditions.
Trim or tighten stops when it shifts to Cautious.
⚡ Quick Reference:
🟢 Green cloud + above VWAP + Confident | Uptrend continuation | Favor long bias
🔴 Red cloud + below VWAP + Confident | Downtrend continuation | Favor short bias
Mixed colors or Cautious: Wait or scale back
Cloud flips color: Possible shift. Reassess bias next bar
⚖️ Disclaimer: Educational and informational use only. Not financial advice. Always use independent judgment and position sizing.
BOS INDICATOR )Good for breaking structures. tells you where a break in structure occurs by outlining the break in structure in a red or green candle
My EMA IndicatorMy Absolutely Profitable Indicator
It can be use when ema9 crosses ema100 and so on...
Use it with Volume Oscillator...
Market Regime (w/ Adaptive Thresholds)Logic Behind This Indicator
This indicator identifies market regimes (trending vs. mean-reverting) using adaptive thresholds that adjust to recent market conditions.
Core Components
1. Regime Score Calculation (0-100 scale)
Starts at 50 (neutral) and adjusts based on two factors:
A. Trend Strength
Compares fast EMA (5) vs. slow EMA (10)
If fast > slow by >1% → +60 points (strong uptrend)
If fast < slow by >1% → -60 points (strong downtrend)
B. RSI Momentum
Uses 7-period RSI smoothed with 3-period EMA
RSI > 70 → +20 points (overbought/trending)
RSI < 30 → -20 points (oversold/mean-reverting)
The score is then smoothed and clamped between 0-100.
2. Adaptive Thresholds
Instead of fixed levels, thresholds adjust to recent market behavior:
Looks back 100 bars to find the min/max regime score
High threshold = 80% of the range (trending regime)
Low threshold = 20% of the range (mean-reverting regime)
This prevents false signals in different volatility environments.
3. Regime Classification
Regime Score Classification Meaning
Above high threshold STRONG TREND Market is trending strongly (follow momentum)
Below low threshold STRONG MEAN REVERSION Market is choppy/oversold (fade moves)
Between thresholds NEUTRAL No clear regime (stay out or wait)
4. Regime Persistence Filter
Requires the regime to hold for a minimum number of bars (default: 1) before confirming
Prevents whipsaws from brief score fluctuations
What It Aims to Detect
When to use trend-following strategies (green = buy breakouts, ride momentum)
When to use mean-reversion strategies (red = buy dips, sell rallies)
When to stay out (gray = unclear conditions, high risk of false signals)
Visual Cues
Green background = Strong trend (momentum strategies work)
Red background = Strong mean reversion (contrarian strategies work)
Table = Shows current regime, color, and score
Alerts = Notifies when regime changes
Multiple Symbol Trend Screener [Pineify]Multiple Symbol Trend Screener Pineify – Ultimate Multi-Indicator Scanner for TradingView
Empower your trading with deep market insights across multiple symbols using this feature-rich Pine Script screener. The Multiple Symbol Trend Screener Pineify enables traders to monitor and compare trends, reversals, and consolidations in real-time across the biggest equity symbols on TradingView, through a synergistic blend of popular technical indicators.
Key Features
Monitor up to 15 symbols and their trends simultaneously
Integrates 7 professional-grade indicators: MA Distance, Aroon, Parabolic SAR (PSAR), ADX, Supertrend, Keltner Channel, and BBTrend
Color-coded table display for instant visual assessment
Customizable lookback periods, indicator types, and calculation methods
SEO optimized for multi-symbol trend detection, screener, and advanced TradingView indicator
How It Works
This indicator leverages TradingView’s Pine Script v6 and request.security() to process multiple symbols across selected timeframes. Data populates a dynamic table, updating each cell based on the calculated value of every underlying indicator. MA Distance highlights deviation from moving averages; Aroon flags emerging trend strength; PSAR marks potential trend reversals; ADX assesses trend momentum; Supertrend detects bullish/bearish phases; Keltner Channel and BBTrend offer volatility and power insights.
Set up your preferred symbols and timeframes
Each indicator runs its calculation per symbol using its parameter group
All results are displayed in a table for a comprehensive dashboard view
Trading Ideas and Insights
Traders can use this screener for cross-market comparison, directional bias, entry/exit filtering, and comprehensive trend evaluation. The screener is excellent for swing trading, day trading, and portfolio tracking. It enables confirmation across multiple frameworks — for example, spotting momentum with ADX before confirming direction with Supertrend and PSAR.
Identify correlated movements or divergences across selected assets
Spot synchronized trend changes for basket trading ideas
Filter symbols by volatility, strength, or trend status for precise trade selection
How Multiple Indicators Work Together
The screener’s edge lies in its intelligent correlation of popular indicators. MA Distance measures the proximity to chosen moving averages, ideal for spotting overbought/oversold conditions. Aroon reveals the strength of new price trends, PSAR indicates reversal signals, and ADX quantifies the momentum of these trends. Supertrend provides a directional phase, while Keltner Channel & BBTrend analyze volatility shifts and band compressions. This amalgamation allows for a robust, multi-dimensional market snapshot, capturing details missed by single-indicator tools.
By displaying all key metrics side-by-side, the screener enables holistic decision-making, revealing confluence zones and contradiction areas across multiple tickers and timeframes.
Unique Aspects
Original implementation combining seven independent trend and momentum indicators for each symbol
Rich customization for symbols, timeframes, and all indicator parameters
Intuitive color-coding for quick reading of bullish/bearish/neutral signals
Comprehensive dashboard for instant actionable insights
How to Use
Load the indicator onto your TradingView chart
Go to the script’s settings and input your preferred symbols and relevant timeframes
Set your desired parameters for each indicator group: Moving Average type, Aroon length, PSAR values, ADX smoothing, etc.
Observe the results in the top-right table, then use it to filter candidates and validate trade setups
The screener is suitable for all timeframes and asset classes available on TradingView. Make sure your chart’s timeframe matches the one used in the scanner for optimal accuracy.
Customization
Choose up to 15 symbols to monitor in a single dashboard
Customize lookback periods, indicator types, colors, and display settings
Configure alerting options and thresholds for advanced trade automation
Conclusion
The Multiple Symbol Trend Screener Pineify sets a new standard for multi-asset screening on TradingView. By elegantly merging seven proven technical indicators, the screener delivers powerful trend detection, reversal analysis, and volatility monitoring — all in one dashboard. Take your trading to new heights with in-depth, customizable market surveillance.
ADR - Average Daily Range [KasTrades]This is an Average Daily Range (ADR) indicator.
There are two settings for ADR:
Two Look back period ADR range (e.g. 7 and 14 days)
One Look back period ADR (e.g. 5 days only)
Two day ADR ranges are typically used in equities and index futures whereas one day ADR is typically used in forex.
The opening time by default is 17:00 New York (Eastern) time. The ranges are always calculated from the opening price of the first bar on the respected timeframe.
Trend 1EMA Trend tracker.
This script plots two EMAs: a short-term EMA (line) and a long-term EMA (dots). The line color turns green when the short EMA is above the long EMA, and red when it’s below. Users can select a custom timeframe for the EMA calculation using the input settings. A shaded area is drawn between the two EMAs to visually represent the trend zone.
Trend 5EMA trend tracker.
This script plots two EMAs: a short-term EMA (line) and a long-term EMA (dots). The line color turns green when the short EMA is above the long EMA, and red when it’s below. Users can select a custom timeframe for the EMA calculation using the input settings. A shaded area is drawn between the two EMAs to visually represent the trend zone.















