Open-Based Adjustable LevelsThis indicator gives signals for levels where the buy or sell volume is above adjustable levels (ex, volume at 100,000). And these levels will only signal after the price has gone above/below a certain 'adjustable' percentage of the stocks opening price.
Example: Signal sell when the price action is 0.7% above market opening price and when sell volume is above 120,000
or
Signal buy when buy volume is above 80,000 and the price is 0.5% below market opening price.
Great for day trading and detecting potential swings in the market. Above image is on a 3min chart.
Doesn't work as well on daily time frames or above.
Should be combined with other indicators like buy/sell channels, for the best confirmations
Buysellsignal
Open-Based Percentage Levelsv2
This is an updated version of my original script.
Changes:
I took off the displacement levels since there served no purpose on this script.
I also fixed it to where the percentage level lines are visible continually throughout the entire trading day. Old version had these lines disappearing.
I also updated the name to better reflect its purpose.
Now only works on 30 min and below as the higher time frames are meaningless. The older version allow higher time frames and the code is open source to adjust as desired
Buy/Sell Confirmation by Jalisa RanaeThis custom-built TradingView indicator combines the power of Heikin Ashi candle clarity, smart money concepts, and institutional-level timing tools to help you identify high-probability trade entries with confidence and consistency.
What It Does:
✅ Buy/Sell Signals — Clean, visual markers based on price direction and filtered volatility using a refined range filter
✅ Heikin Ashi Candles — Smooths out market noise to reveal dominant trends and accurate price flow
✅ Power of 3 ICT Zones — Automatically highlights Accumulation, Manipulation, and Distribution phases based on NY session timing — a foundational Smart Money framework
✅ Order Blocks Detection — Automatically plots bullish and bearish order blocks as they form, allowing you to identify institutional footprints and key supply/demand zones
💡 Why This Matters for Day Trading:
Institutional traders move in patterns — accumulation, manipulation, and distribution. Retail traders often get caught in the manipulation phase, entering too late or exiting too early. This script helps you:
✅ Time entries with the market makers, not against them
✅ Avoid emotional trades by giving you visual confirmation zones
✅ Focus only on high-probability setups rooted in real market logic
Whether you're scalping NASDAQ futures or trading Forex pairs, this indicator gives you a powerful visual edge by simplifying complex smart money concepts into actionable signals — all in real time.
📈 Ready to level up your intraday trading precision? Add this tool to your chart, combine it with strong risk management, and step confidently into trades backed by logic, not guesswork.
The Ultimate Buy and Sell Indicator: Unholy Grail Edition"You see, Watson, the market is not random—it simply whispers in a code too complex for the average trader. Lucky for you, I am not average."
They searched for the Holy Grail of trading for decades—promises, false prophets, and overpriced PDFs.
But they were all looking in the wrong place.
This isn’t a relic buried in the desert.
This is the Unholy Grail — a machine-forged fusion of logic, engineering, and tactical overkill .
Built by Sherlock Macgyver , this is not a mystical object. It’s a surveillance system for trend detection, signal validation, and precision entries .
⚠️ Important: This script draws its own candles.
To see it properly, disable regular candles by turning off "Body", "Wick" and "Border" colors.
🔧 What You’re Looking At
This overlay plots confirmed Buy/Sell signals , momentum-based “watch” zones , adaptive candle coloring , SuperTrend bias detection , dual Bollinger Bands , and a moving average ribbon .
It’s not “minimalist” —it’s comprehensive .
📍 Configuring the Tool: Follow the Breadcrumbs
Every setting includes a tooltip — read them . They're not filler. They explain exactly how each feature functions so you can dial this thing in like you're tuning a surveillance rig in a Cold War bunker .
If you skip them, you're walking blind in a minefield .
🕰️ Timeframes: The Signal Sweet Spot
Each asset has a tempo . You need to find the one where signals align with clarity —not chaos .
Start with 4H or 1H —work up or down from there.
Too many fakeouts? → Higher timeframe
Too slow? → Drop to 15m or 5m —but expect more noise and adjust settings accordingly.
The signals scale with time, but you must find the rhythm that best fits your asset—and your trading lifestyle .
♻️ RSI Cycle = Signal Sensitivity
This is the heart of the system . It controls how reactive the RSI engine is.
Adjust based on noise level and how often you can actually monitor your charts.
Short cycle (14–24): More signals, more speed, more noise
Longer cycle (36–64): Smoother entries, better for swing traders
Tip: If your signals feel too jittery, increase the cycle. If they lag too much, reduce it.
📉 SuperTrend: Your Trend Bias Compass
This isn’t your average SuperTrend. It adapts with RSI overlay logic and detects market “silence” via EMA compression— turning white right before the chaos . That said, you still control its aggression.
ATR Length = how many bars to average
ATR Factor = how tight or loose it hugs price
Lower = more sensitive (more trades, more noise)
Higher = confirmation only (fewer, but stronger signals)
Tweak until it feels like a sniper rifle.
No, you won’t get it perfect on the first try.
Yes, it’s worth it.
🛠️ Modular Signals: Why Things Fire (or Don’t)
Buy/Sell entries require conditions to align. The logic is modular, and that’s on purpose.
RSI signals only fire if RSI crosses its smoothed MA outside the dead zone and a “Watch” condition is active.
SuperTrend signals can be enabled to act on crossovers, optionally ignoring the Watch filter .
Watch conditions (colored squares) act as early recon and hint at possible upcoming trades.
Background color changes are “pre-signal warnings” and will repaint . Use them as leading signals, not gospel.
Want more trades? Loosen your filters .
Want sniper entries? Lock them down .
🌈 Candles and MAs: Visual Market Structure
Candles adapt in real-time to MA structure:
Green = bullish (above both fast/slow MAs)
Yellow = indecision (between)
Red = bearish (below both)
Buy/Sell signals override candles with bright orange and fuchsia —because subtlety doesn’t win wars .
You can also enable up to 8 customizable moving averages —great for confluence , trend confirmation , or just looking like a wizard .
🧠 Pro Usage Tips (TL;DR for Smart People):
Use tooltips in the settings menu —every toggle and slider is explained
Test timeframes until signal frequency and reliability match your goals
Adjust RSI cycle to reduce noise or speed up signals based on how frequently you trade
Tweak SuperTrend factor and ATR to fit volatility on your asset
Start with visual confirmation :
• Are watch signals lining up with trend zones?
• Are backgrounds firing before price moves?
• Are candle colors agreeing with signal direction?
📣 Alerts & Integration
Alerts are available for:
Buy/Sell entries (confirmed or advanced background)
Watch signals
Full band agreement (both Bollinger bands bullish or bearish)
Use these with webhook systems , bots , or your own trade journals .
Created by Sherlock Macgyver
Because sometimes the best trade…
is knowing exactly when not to take one.
OnePunch Algo Scalper V6Overview:
OnePunch Algo Scalper V6 is an invite-only script designed for short-term trend scalping and extreme reversal detection. It uniquely combines classic momentum and volume indicators, enhanced with multi-time session awareness, to deliver precise high-probability entry alerts.
Core Concepts:
RSI and CCI are used together to identify momentum exhaustion points for early reversal spotting.
CMF is integrated to filter buy signals only when volume flow confirms bullish intent, avoiding weak uptrends.
SMA overlays track medium to long-term trends to confirm direction bias for safer scalping entries.
MACD Histogram weakness detection adds a momentum weakening filter to confirm whether bullish/bearish pressure is losing strength — improving risk-reward setups.
Stochastic crossovers help predict short-term pullbacks, allowing for precision "Prepare for CALL/PUT" signals.
Session-based background coloring indicates high-probability trading windows (Morning, Midday, Afternoon), guiding users to focus on optimal times.
Signals Generated:
✅ "Trending Up": Momentum acceleration uptrend signal (RSI + CCI crossover with volume confirmation).
✅ "Trending Down": Momentum deceleration sell signal.
✅ "Reversal Up" / "Bearish Down": Extreme oversold/overbought reversals.
✅ "Prepare for PUTs/CALLs": Anticipation signals based on stochastic weakening + MACD histogram convergence.
Chart Setup:
The script draws clean shape labels on the chart for each event (e.g., "Up Trend", "Bearish") for clarity.
Background highlights show different sessions to help traders recognize the most liquid periods.
No other indicators are required on the chart.
Usage Notes:
This script is ideal for scalping or short intraday swing trades on liquid assets like indices, crypto, or forex.
Best results when combined with manual Support/Resistance marking (use "Prepare for PUTs/CALLs" near S/R zones).
Cointegration Buy and Sell Signals [EdgeTerminal]The Cointegration Buy And Sell Signals is a sophisticated technical analysis tool to spot high-probability market turning points — before they fully develop on price charts.
Most reversal indicators rely on raw price action, visual patterns, or basic and common indicator logic — which often suffer in noisy or trending markets. In most cases, they lag behind the actual change in trend and provide useless and late signals.
This indicator is rooted in advanced concepts from statistical arbitrage, mean reversion theory, and quantitative finance, and it packages these ideas in a user-friendly visual format that works on any timeframe and asset class.
It does this by analyzing how the short-term and long-term EMAs behave relative to each other — and uses statistical filters like Z-score, correlation, volatility normalization, and stationarity tests to issue highly selective Buy and Sell signals.
This tool provides statistical confirmation of trend exhaustion, allowing you to trade mean-reverting setups. It fades overextended moves and uses signal stacking to reduce false entries. The entire indicator is based on a very interesting mathematically grounded model which I will get into down below.
Here’s how the indicator works at a high level:
EMAs as Anchors: It starts with two Exponential Moving Averages (EMAs) — one short-term and one long-term — to track market direction.
Statistical Spread (Regression Residuals): It performs a rolling linear regression between the short and long EMA. Instead of using the raw difference (short - long), it calculates the regression residual, which better models their natural relationship.
Normalize the Spread: The spread is divided by historical price volatility (ATR) to make it scale-invariant. This ensures the indicator works on low-priced stocks, high-priced indices, and crypto alike.
Z-Score: It computes a Z-score of the normalized spread to measure how “extreme” the current deviation is from its historical average.
Dynamic Thresholds: Unlike most tools that use fixed thresholds (like Z = ±2), this one calculates dynamic thresholds using historical percentiles (e.g., top 10% and bottom 10%) so that it adapts to the asset's current behavior to reduce false signals based on market’s extreme volatility at a certain time.
Z-Score Momentum: It tracks the direction of the Z-score — if Z is extreme but still moving away from zero, it's too early. It waits for reversion to start (Z momentum flips).
Correlation Check: Uses a rolling Pearson correlation to confirm the two EMAs are still statistically related. If they diverge (low correlation), no signal is shown.
Stationarity Filter (ADF-like): Uses the volatility of the regression residual to determine if the spread is stationary (mean-reverting) — a key concept in cointegration and statistical arbitrage. It’s not possible to build an exact ADF filter in Pine Script so we used the next best thing.
Signal Control: Prevents noisy charts and overtrading by ensuring no back-to-back buy or sell signals. Each signal must alternate and respect a cooldown period so you won’t be overwhelmed and won’t get a messy chart.
Important Notes to Remember:
The whole idea behind this indicator is to try to use some stat arb models to detect shifting patterns faster than they appear on common indicators, so in some cases, some assumptions are made based on historic values.
This means that in some cases, the indicator can “jump” into the conclusion too quickly. Although we try to eliminate this by using stationary filters, correlation checks, and Z-score momentum detection, there is still a chance some signals that are generated can be too early, in the stock market, that's the same as being incorrect. So make sure to use this with other indicators to confirm the movement.
How To Use The Indicator:
You can use the indicator as a standalone reversal system, as a filter for overbought and oversold setups, in combination with other trend indicators and as a part of a signal stack with other common indicators for divergence spotting and fade trades.
The indicator produces simple buy and sell signals when all criteria is met. Based on our own testing, we recommend treating these signals as standalone and independent from each other . Meaning that if you take position after a buy signal, don’t wait for a sell signal to appear to exit the trade and vice versa.
This is why we recommend using this indicator with other advanced or even simple indicators as an early confirmation tool.
The Display Table:
The floating diagnostic table in the top-right corner of the chart is a key part of this indicator. It's a live statistical dashboard that helps you understand why a signal is (or isn’t) being triggered, and whether the market conditions are lining up for a potential reversal.
1. Z-Score
What it shows: The current Z-score value of the volatility-normalized spread between the short EMA and the regression line of the long EMA.
Why it matters: Z-score tells you how statistically extreme the current relationship is. A Z-score of:
0 = perfectly average
> +2 = very overbought
< -2 = very oversold
How to use it: Look for Z-score reaching extreme highs or lows (beyond dynamic thresholds). Watch for it to start reversing direction, especially when paired with green table rows (see below)
2. Z-Score Momentum
What it shows: The rate of change (ROC) of the Z-score:
Zmomentum=Zt − Zt − 1
Why it matters: This tells you if the Z-score is still stretching out (e.g., getting more overbought/oversold), or reverting back toward the mean.
How to use it: A positive Z-momentum after a very low Z-score = potential bullish reversal A negative Z-momentum after a very high Z-score = potential bearish reversal. Avoid signals when momentum is still pushing deeper into extremes
3. Correlation
What it shows: The rolling Pearson correlation coefficient between the short EMA and long EMA.
Why it matters: High correlation (closer to +1) means the EMAs are still statistically connected — a key requirement for cointegration or mean reversion to be valid.
How to use it: Look for correlation > 0.7 for reliable signals. If correlation drops below 0.5, ignore the Z-score — the EMAs aren’t moving together anymore
4. Stationary
What it shows: A simplified "Yes" or "No" answer to the question:
“Is the spread statistically stable (stationary) and mean-reverting right now?”
Why it matters: Mean reversion strategies only work when the spread is stationary — that is, when the distance between EMAs behaves like a rubber band, not a drifting cloud.
How to use it: A "Yes" means the indicator sees a consistent, stable spread — good for trading. "No" means the market is too volatile, disjointed, or chaotic for reliable mean reversion. Wait for this to flip to "Yes" before trusting signals
5. Last Signal
What it shows: The last signal issued by the system — either "Buy", "Sell", or "None"
Why it matters: Helps avoid confusion and repeated entries. Signals only alternate — you won’t get another Buy until a Sell happens, and vice versa.
How to use it: If the last signal was a "Buy", and you’re watching for a Sell, don’t act on more bullish signals. Great for systems where you only want one position open at a time
6. Bars Since Signal
What it shows: How many bars (candles) have passed since the last Buy or Sell signal.
Why it matters: Gives you context for how long the current condition has persisted
How to use it: If it says 1 or 2, a signal just happened — avoid jumping in late. If it’s been 10+ bars, a new opportunity might be brewing soon. You can use this to time exits if you want to fade a recent signal manually
Indicator Settings:
Short EMA: Sets the short-term EMA period. The smaller the number, the more reactive and more signals you get.
Long EMA: Sets the slow EMA period. The larger this number is, the smoother baseline, and more reliable trend bases are generated.
Z-Score Lookback: The period or bars used for mean & std deviation of spread between short and long EMAs. Larger values result in smoother signals with fewer false positives.
Volatility Window: This value normalizes the spread by historical volatility. This allows you to prevent scale distortion, showing you a cleaner and better chart.
Correlation Lookback: How many periods or how far back to test correlation between slow and long EMAs. This filters out false positives when EMAs lose alignment.
Hurst Lookback: The multiplier to approximate stationarity. Lower leads to more sensitivity to regime change, higher produces a more stricter filtering.
Z Threshold Percentile: This value sets how extreme Z-score must be to trigger a signal. For example, 90 equals only top/bottom 10% of extremes, 80 = more frequent.
Min Bars Between Signals: This hard stop prevents back-to-back signals. The idea is to avoid over-trading or whipsaws in volatile markets even when Hurst lookback and volatility window values are not enough to filter signals.
Some More Recommendations:
We recommend trying different EMA pairs (10/50, 21/100, 5/20) for different asset behaviors. You can set percentile to 85 or 80 if you want more frequent but looser signals. You can also use the Z-score reversion monitor for powerful confirmation.
Easy MA SignalsEasy MA Signals
Overview
Easy MA Signals is a versatile Pine Script indicator designed to help traders visualize moving average (MA) trends, generate buy/sell signals based on crossovers or custom price levels, and enhance chart analysis with volume-based candlestick coloring. Built with flexibility in mind, it supports multiple MA types, crossover options, and customizable signal appearances, making it suitable for traders of all levels. Whether you're a day trader, swing trader, or long-term investor, this indicator provides actionable insights while keeping your charts clean and intuitive.
Configure the Settings
The indicator is divided into three input groups for ease of use:
General Settings:
Candlestick Color Scheme: Choose from 10 volume-based color schemes (e.g., Sapphire Pulse, Emerald Spark) to highlight high/low volume candles. Select “None” for TradingView’s default colors.
Moving Average Length: Set the MA period (default: 20). Adjust for faster (lower values) or slower (higher values) signals.
Moving Average Type: Choose between SMA, EMA, or WMA (default: EMA).
Show Buy/Sell Signals: Enable/disable signal plotting (default: enabled).
Moving Average Crossover: Select a crossover type (e.g., MA vs VWAP, MA vs SMA50) for signals or “None” to disable.
Volume Influence: Adjust how volume impacts candlestick colors (default: 1.2). Higher values make thresholds stricter.
Signal Appearance Settings:
Buy/Sell Signal Shape: Choose shapes like triangles, arrows, or labels for signals.
Buy/Sell Signal Position: Place signals above or below bars.
Buy/Sell Signal Color: Customize colors for better visibility (default: green for buy, red for sell).
Custom Price Alerts:
Custom Buy/Sell Alert Price: Set specific price levels for alerts (default: 0, disabled). Enter a non-zero value to enable.
Set Up Alerts
To receive notifications (e.g., sound, popup, email) when signals or custom price levels are hit:
Click the Alert button (alarm clock icon) in TradingView.
Select Easy MA Signals as the condition and choose one of the four alert types:
MA Crossover Buy Alert: Triggers on MA crossover buy signals.
MA Crossover Sell Alert: Triggers on MA crossover sell signals.
Custom Buy Alert: Triggers when price crosses above the custom buy price.
Custom Sell Alert: Triggers when price crosses below the custom sell price.
Enable Play Sound and select a sound (e.g., “Bell”).
Set the frequency (e.g., Once Per Bar Close for confirmed signals) and create the alert.
Analyze the Chart
Moving Average Line: Displays the selected MA with color changes (green for bullish, red for bearish, gray for neutral) based on price position relative to the MA.
Buy/Sell Signals: Appear as shapes or labels when crossovers or custom price levels are hit.
Candlestick Colors: If a color scheme is selected, candles change color based on volume strength (high, low, or neutral), aiding in trend confirmation.
Why Use Easy MA Signals?
Easy MA Signals is designed to simplify technical analysis while offering advanced customization. It’s ideal for traders who want:
A clear visualization of MA trends and crossovers.
Flexible signal generation based on MA crossovers or custom price levels.
Volume-enhanced candlestick coloring to identify market strength.
Easy-to-use settings with tooltips for beginners and pros alike.
This script is particularly valuable because it combines multiple features into one indicator, reducing chart clutter and providing actionable insights without overwhelming the user.
Benefits of Easy MA Signals
Highly Customizable: Supports SMA, EMA, and WMA with adjustable lengths.
Offers multiple crossover options (VWAP, SMA10, SMA20, etc.) for tailored strategies.
Custom price alerts allow precise targeting of key levels.
Volume-Based Candlestick Coloring: 10 unique color schemes highlight volume strength, helping traders confirm trends.
Adjustable volume influence ensures adaptability to different markets.
Flexible Signal Visualization: Choose from various signal shapes (triangles, arrows, labels) and positions (above/below bars).
Customizable colors improve visibility on any chart background.
Alert Integration: Built-in alert conditions for crossovers and custom prices support sound, email, and app notifications.
Easy setup for real-time trading decisions.
User-Friendly Design: Organized input groups with clear tooltips make configuration intuitive.
Suitable for beginners and advanced traders alike.
Example Use Cases
Swing Trading with MA Crossovers:
Scenario: A trader wants to trade Bitcoin (BTC/USD) on a 4-hour chart using an EMA crossover strategy.
Setup:
Set Moving Average Type to EMA, Length to 20.
Set Moving Average Crossover to “MA vs SMA50”.
Enable Show Buy/Sell Signals and choose “arrowup” for buy, “arrowdown” for sell.
Select “Emerald Spark” for candlestick colors to highlight volume surges.
Usage: Buy when the EMA20 crosses above the SMA50 (green arrow appears) and volume is high (dark green candles). Sell when the EMA20 crosses below the SMA50 (red arrow). Set alerts for real-time notifications.
Scalping with Custom Price Alerts:
Scenario: A day trader monitors Tesla (TSLA) on a 5-minute chart and wants alerts at specific support/resistance levels.
Setup:
Set Custom Buy Alert Price to 150.00 (support) and Custom Sell Alert Price to 160.00 (resistance).
Use “labelup” for buy signals and “labeldown” for sell signals.
Keep Moving Average Crossover as “None” to focus on price alerts.
Usage: Receive a sound alert and label when TSLA crosses 150.00 (buy) or 160.00 (sell). Use volume-colored candles to confirm momentum before entering trades.
When NOT to Use Easy MA Signals
High-Frequency Trading: Reason: The indicator relies on moving averages and volume, which may lag in ultra-fast markets (e.g., sub-second trades). High-frequency traders may need specialized tools with real-time tick data.
Alternative: Use order book or market depth indicators for faster execution.
Low-Volatility or Sideways Markets:
Reason: MA crossovers and custom price alerts can generate false signals in choppy, range-bound markets, leading to whipsaws.
Alternative: Use oscillators like RSI or Bollinger Bands to trade within ranges.
This indicator is tailored more towards less experienced traders. And as always, paper trade until you are comfortable with how this works if you're unfamiliar with trading! We hope you enjoy this and have great success. Thanks for your interested in Easy MA Signals!
Bullish & Bearish Engulfing ProHello Traders!
Overview
The Bullish & Bearish Engulfing Pro indicator is a powerful pattern recognition tool that identifies key reversal points and trend continuation opportunities. These engulfing patterns often mark the beginning of a significant price move and are widely used in technical analysis. For example, in an uptrend, a Bullish Engulfing pattern can provide an ideal pullback entry signal.
This indicator combines traditional candlestick theory with advanced technical filters like trend direction and volatility analysis to offer traders precise, high-confidence signals.
Key Features :
Accurate pattern detection:
Uses refined algorithms to detect true Bullish and Bearish Engulfing patterns, filtering out noise and false positives.
Trend filter:
Customizable Simple Moving Average (SMA) ensures trades are aligned with the market’s broader trend, improving trade success rates.
Volatility awareness:
ATR-based filtering ensures that only statistically significant engulfing patterns are highlighted.
Visual clarity:
Bullish and Bearish Engulfing patterns are displayed with distinct, customizable colors and labels for instant recognition.
Flexible customization:
Users can adjust detection criteria, SMA settings, and visual options to suit their personal strategy.
Filtered signal display:
Option to visualize filtered-out signals to better understand how the logic makes its decisions.
Bullish Engulfing Pattern
Appears after a downtrend or during a pullback in an uptrend
Consists of two candles
A smaller bearish candle
Followed by a larger bullish candle that completely engulfs the previous body
Bearish Engulfing Pattern
Appears after an uptrend or during a pullback in a downtrend
Consists of two candles
A smaller bullish candle
Followed by a larger bearish candle that completely engulfs the previous body
Key differences in this implementation
What makes this indicator unique
Trend and volatility filters
Ensure patterns occur in meaningful market conditions
Comprehensive pattern analysis:
Factors in candle body ratios, wick sizes, and relative size to past candles for smarter detection
Adaptive to market conditions:
Dynamic thresholds based on ATR allow pattern recognition to adjust to different volatility regimes
Educational value:
Visualizing rejected patterns helps traders build intuition and refine their discretion
How to Trade with this Indicator
Engulfing patterns can signal strong reversals or pullback continuations. Use them with trend and volume confirmation to maximize their effectiveness.
snapshot
Bullish Opportunities:
Look for Bullish Engulfing patterns (aqua-colored candles and labels) during or after a pullback in an uptrend.
Bearish Opportunities:
Watch for Bearish Engulfing patterns (orange-colored candles and labels) during or after a rally in a downtrend.
Entry: Enter on the next bar open after the engulfing candle completes.
Stop loss: 2 ticks below/above the engulfing candle’s low/high.
Take profit: Aim for at least a 2R target, a swing high/low or manage the tradewith a trailing stop.
Trend Alignment:
For higher win probability, take trades only in the direction of the SMA-defined trend.
Note: To ensure the candle coloring appears correctly, place the indicator at the top of the object tree.
ScalpSwing Pro SetupScript Overview
This script is a multi-tool setup designed for both scalping (1m–5m) and swing trading (1H–4H–Daily). It combines the power of trend-following , momentum , and mean-reversion tools:
What’s Included in the Script
1. EMA Indicators (20, 50, 200)
- EMA 20 (blue) : Short-term trend
- EMA 50 (orange) : Medium-term trend
- EMA 200 (red) : Long-term trend
- Use:
- EMA 20 crossing above 50 → bullish trend
- EMA 20 crossing below 50 → bearish trend
- Price above 200 EMA = uptrend bias
2. VWAP (Volume Weighted Average Price)
- Shows the average price weighted by volume
- Best used in intraday (1m to 15m timeframes)
- Use:
- Price bouncing from VWAP = reversion trade
- Price far from VWAP = likely pullback incoming
3. RSI (14) + Key Levels
- Shows momentum and overbought/oversold zones
- Levels:
- 70 = Overbought (potential sell)
- 30 = Oversold (potential buy)
- 50 = Trend confirmation
- Use:
- RSI 30–50 in uptrend = dip buying zone
- RSI 70–50 in downtrend = pullback selling zone
4. MACD Crossovers
- Standard MACD with histogram & cross alerts
- Shows trend momentum shifts
- Green triangle = Bullish MACD crossover
- Red triangle = Bearish MACD crossover
- Use:
- Confirm swing trades with MACD crossover
- Combine with RSI divergence
5. Buy & Sell Signal Logic
BUY SIGNAL triggers when:
- EMA 20 crosses above EMA 50
- RSI is between 50 and 70 (momentum bullish, not overbought)
SELL SIGNAL triggers when:
- EMA 20 crosses below EMA 50
- RSI is between 30 and 50 (bearish momentum, not oversold)
These signals appear as:
- BUY : Green label below the candle
- SELL : Red label above the candle
How to Trade with It
For Scalping (1m–5m) :
- Focus on EMA crosses near VWAP
- Confirm with RSI between 50–70 (buy) or 50–30 (sell)
- Use MACD triangle as added confluence
For Swing (1H–4H–Daily) :
- Look for EMA 20–50 cross + price above EMA 200
- Confirm trend with MACD and RSI
- Trade breakout or pullback depending on structure
Trend Trading IndicatorThis trend trading indicator uses multiple different custom formulas to identify market trends as well as identify when the market is moving sideways. It has a master trend that will show you the trend using the color of the candles and then there are multiple different types of entry and confluence signals that will appear as different chart shapes above or below the candles to inform you about when to enter a trade and how strong the trend is so you know whether to hold a position longer or get out. There is also a panel at the bottom of the chart that shows you the trend strength for 5 different timeframes so you can easily identify the short and long term trends and scan through charts quickly to find markets with the strongest trends.
The indicator can be customized to fit your trading style by adjusting the timeframes for the master trend, which timeframes affect signals, turning on or off the various entry & confluence signals, turning on or off ranging market filters and more. It can be adjusted to react quickly for intraday trading or use long timeframes for swing trading or only trading when the market is in a strong long term trend.
The indicator also has a built in trend direction value that can be sent to other indicators to be used as a trend filter as well by setting the source value on an external indicator to use the trend direction value from this indicator. This is useful for preventing signals from coming in on other indicators when they go against the trend that this indicator has identified according to the settings it is configured with.
How To Use This Indicator Properly
This indicator is designed to only give signals when the market is trending and filter out the sideways price action for you. Due to this, depending on the timeframe settings you use, there may be extended periods where there are no signals because the market is going sideways. You can adjust your timeframe settings to react faster or slower by lowering the timeframes used and turning off some of the higher timeframes or use all of the timeframes available and only get signals when the market is in a strong long term trend for the safest trades.
The indicator uses a master trend that needs to show a trend before any other confluence signals can come in. The master trend will show up by coloring the candles blue when the trend is bullish or orange when the trend is bearish according to the settings you have chosen. When the market is not trending, the candles will be colored grey. This helps to keep you out of trades when the market is going sideways. You will only be able to see the master trend by using the colored candles though, so make sure to turn the chart’s candle coloring off so it doesn’t override the indicator candle coloring.
Once a trend has been established, then other signals will begin to show up if the trend is strong and various parameters are met. The indicator includes the following types of signals:
Master Trend Signals
Strong Trend Buy & Sell Signals
Pullback During Strong Trend Signals
Strong All Timeframe Trend Signals
Trend Strength Score Signals
The indicator also has multiple filters you can use to customize the master trend to allow more or less signals to come in. The more filters you have on, the better and more likely the signals are to be winners because it will only give signals when there are very strong trends on all timeframes. If you want a lot of signals for intraday scalping, you can turn off most of the filters and just use lower timeframes for the master trend settings. The following filters can be used to customize the trend parameters:
Signals Only Allowed In Direction Of Timeframes 4 & 5
Trend Of Timeframe #1 Used For Master Trend Signals
Trend Of Timeframe #2 Used For Master Trend Signals
Trend Of Timeframe #3 Used For Master Trend Signals
Trend Of Timeframe #4 Used For Master Trend Signals
Trend Of Timeframe #5 Used For Master Trend Signals
No Master Trend Signals If This Timeframe Is Ranging - #1
No Master Trend Signals If This Timeframe Is Ranging - #2
No Master Trend Signals If This Timeframe Is Ranging - #3
Make sure to keep all trend timeframes in order from 1-5 for best results, even if they are turned off. The indicator is programmed to compare each timeframe to the next one, so keeping the timeframes in order will give you proper calculations. For example: timeframes 1-5 should be 15, 60, 240, 1D, 1W or 240, 1D, 1W, 1M, 3M and so on.
The indicator has alerts for bullish and bearish versions of each type of signal so you can get notified when a chart is trending strongly.
Market Hours Available To Use The Indicator On
The indicator works on stocks, crypto, forex and futures markets and other markets that have the same hours, you just need to select the hours that the market you are trading has in the main indicator settings to get the correct signals. There are options for stock hours(6.5 hours a day, 5 days per week), futures/forex hours(23 hours a day, 5 days per week) and crypto hours(24 hours a day, 7 days per week). Just select the correct option in the dropdown menu and the indicator will calculate based on those hours.
Master Trend Settings
The master trend is calculated using Timeframes 1-5, the setting for whether to use timeframes 1-5 for signals, ranging market filters 1-3 and only allow signals in the direction of timeframes 4 & 5. These settings will affect how the overall trend is calculated, which has to be trending in order for any confluence signals to come in.
Set timeframe 1 to a higher timeframe than your chart is set to. For example if you trade the 1 minute or 5 minute chart, timeframe #1 needs to be set to something higher than your chart so 15, 60 or 240. Then set timeframes 2-5 to be one timeframe higher than the previous one. So if timeframe 1 is 60, then timeframe 2 should be 240 and so on. Make sure to do this even if you do not turn on each timeframe to be used for master trend signals as the higher timeframes will still affect the confluence signals.
Turn on or off the toggle for each timeframe if you want the master trend to use. Keeping just lower timeframes on will give more signals for short term trends and leaving all of the timeframes on will only give signals when all of the timeframes are trending. I recommend keeping timeframes 1 & 2 on at the very least and then turning on or off timeframes 3-5 based on how many signals you want and how strong you want the trend to be in order for signals to be given.
Ranging Market Filters
The indicator has parameters to detect if the market is ranging or moving sideways on each timeframe and will show this by coloring the trend strength score in the bottom panel grey for that timeframe. When the market is ranging, it is best to not trade because there is no established trend. Use these filters to increase the probability of the master trend and confluence trend signals being correct and moving in the direction of the trend.
If you turn on the ranging market filters, you will not get any signals if the market is detected as ranging on any of the timeframes you have turned on for the ranging market filters.
You can use 1, 2 or all 3 ranging market filters to dial in the indicator to your preference. Make sure to backtest it and look at historical data to see how this will affect the indicator and choose what settings work best for your style of trading.
Signals Only Allowed In Direction Of Timeframes 4 & 5
If you only want to make sure you are trading in the direction of the long term trend, turn this setting on. It will prevent the indicator from giving any signals that are not in the same direction as the long term trends and increase your probability for winning trades.
This setting allows you to quickly filter out any noise that you will get from lower timeframe trends that are not in the same direction as the long term trends and helps to ensure you stick to the overall trend. Markets will usually make much faster and larger moves in the direction of the overall trend and have high resistance, choppy moves when going in the opposite direction, so this will help you avoid getting into those trades even if you don’t have timeframes 4 & 5 turned on in the master trend timeframe settings.
Strong Buy & Sell Signals
When the master trend detects a trending market and the trend is strong on all 5 timeframes, the indicator will show crosses on the chart meaning these are great entry points to get into the market with positions in the direction of the trend. There are 3 levels of these signals and will show as small crosses, medium crosses and large crosses. The larger the cross is, the stronger the trend is and is more likely to continue the trend.
Use these strong buy & sell signal crosses as entry points and place your stop loss at the most recent major pivot. Then trail your stop loss with the trade to lock in profits.
Pullbacks During Strong Trend Signals
When there is a strong trend on timeframes 3-5 and a pullback on timeframes 1 & 2, then move back in the direction of the higher timeframe trend, this will fire a signal to enter a trade in the direction of the trend. These are excellent entries since the market has pulled back, allowing you to have a good entry with low potential drawdown.
These signals will appear as label tag or price tag looking signals. Use these for your entries and then place a stop loss just beyond the most recent major pivot and trail your stop loss as the trade moves in your favor to lock in profits.
Strong All Timeframe Trend Signals
When the trend is strong on all timeframes that you have set to use for master trend signals, the indicator will show circles/dots on the chart above or below the candles. There is also a second type of strong trend calculation that it uses that will detect a strong trend in a slightly different way and that formula will paint a background color on the chart as extra confluence. When the background color and dots show up at the same time, that means both formulas are showing strong trends.
Use these dots and background coloring to confirm your position and continue to hold it for more gains. Strong trends typically continue in the same direction so use these signals as extra confluence to hold your position and stay in the trade.
Trend Strength Score Signals
Each timeframe will have a trend strength score calculated. If you turn the visuals on in the master trend timeframe settings, they will show up as an oscillator in the bottom panel. It will show red for bearish trends and green for bullish trends and grey when the market is ranging. It will also show a label next to each timeframe telling you the score out of the maximum score for that timeframe.
Pay attention to these as they will give you a very quick way to read the long term and short term trends. When all timeframes are trending strongly, the background will paint red or green to notify you of strong trends that you can trade.
When the long term trends agree, but short term trends are going against the long term, look for the short term trends to reverse and use those areas as entry positions for longer trades in the direction of the overall trend. Doing this really helps to identify possible reversals and keep you from getting into those types of trades too early.
Timeframes The Indicator Can Be Used On
The indicator is setup to be used on the following chart timeframes: 15 seconds, 30 seconds, 1 minute, 2 minute, 3 minute, 5 minute, 10 minute, 15 minute, 30 minute, 1 hour, 2 hour, 4 hour, 6 hour, 8 hour, 12 hour and 1 day charts.
If your chart is set to a different timeframe than the ones listed above, it will not calculate properly, so make sure your chart is on the correct timeframe.
Markets The Indicator Can Be Used On
The indicator has 3 modes for various market hours. The type of market doesn’t matter, what matters is how many hours that market is open for. Almost all markets fall under 3 types of opening hours so we have provided the ability for the indicator to calculate correctly on all 3 types of market hours. The hours it can use are: stocks(6.5 hours per day, 5 days per week), crypto(24 hours per day, 7 days per week) and futures/forex(23 hours per day, 5 days per week).
You will need to update this setting from the dropdown at the top of the indicator settings to match the chart that you are on for it to calculate correctly.
Filtering Other Indicators Using The Trend Direction Of This Indicator
The indicator has a built in trend direction value that can be sent to other indicators and used as a filter. By setting an input.source() value on other indicators that are on the same chart as this indicator, you can set that indicator to do or not do whatever you want when this trend indicator shows a trend or not.
The name of the source you can use on your external indicator is called Trend Direction To Send To External Indicators. The values it sends are as follows: 0 when there is no master trend direction, 1 when the master trend is bullish and -1 when the master trend is bearish.
By using this source, you can prevent other indicators from giving sell signals during up trends, prevent other indicators from giving buy signals during down trends and prevent other indicators from giving any signals when the market is ranging or not showing an established trend.
Alerts Available To Use
The indicator has alerts for bullish versions as well as bearish versions of each type of signal available. Use these alerts to notify you of strong trends on markets that you may not have the charts up for at all times but still want to trade.
Volume Flow with Bollinger Bands and EMA Cross SignalsThe Volume Flow with Bollinger Bands and EMA Cross Signals indicator is a custom technical analysis tool designed to identify potential buy and sell signals based on several key components:
Volume Flow: This component combines price movement and trading volume to create a signal that indicates the strength or weakness of price movements. When the price is rising with increasing volume, it suggests strong buying activity, whereas falling prices with increasing volume indicate strong selling pressure.
Bollinger Bands: Bollinger Bands consist of three lines:
The Basis (middle line), which is a Simple Moving Average (SMA) of the price over a set period.
The Upper Band, which is the Basis plus a multiple of the standard deviation (typically 2).
The Lower Band, which is the Basis minus a multiple of the standard deviation. Bollinger Bands help identify periods of high volatility and potential overbought/oversold conditions. When the price touches the upper band, it might indicate that the market is overbought, while touching the lower band might indicate oversold conditions.
EMA Crossovers: The script includes two Exponential Moving Averages (EMAs):
Fast EMA: A shorter-term EMA, typically more sensitive to price changes.
Slow EMA: A longer-term EMA, responding slower to price changes. The crossover of the Fast EMA crossing above the Slow EMA (bullish crossover) signals a potential buy opportunity, while the Fast EMA crossing below the Slow EMA (bearish crossover) signals a potential sell opportunity.
Background Color and Candle Color: The indicator highlights the chart's background with specific colors based on the signals:
Green background for buy signals.
Yellow background for sell signals. Additionally, the candles are colored green for buy signals and yellow for sell signals to visually reinforce the trade opportunities.
Buy/Sell Labels: Small labels are placed on the chart:
"BUY" label in green is placed below the bar when a buy signal is generated.
"SELL" label in yellow is placed above the bar when a sell signal is generated.
Working of the Indicator:
Volume Flow Calculation: The Volume Flow is calculated by multiplying the price change (current close minus the previous close) with the volume. This product is then smoothed with a Simple Moving Average (SMA) over a user-defined period (length). The result is then multiplied by a multiplier to adjust its sensitivity.
Price Change = close - close
Volume Flow = Price Change * Volume
Smoothed Volume Flow = SMA(Volume Flow, length)
The Volume Flow Signal is then: Smooth Volume Flow * Multiplier
This calculation represents the buying or selling pressure in the market.
Bollinger Bands: Bollinger Bands are calculated using the Simple Moving Average (SMA) of the closing price (basis) and the Standard Deviation (stdev) of the price over a period defined by the user (bb_length).
Basis (Middle Band) = SMA(close, bb_length)
Upper Band = Basis + (bb_std_dev * Stdev)
Lower Band = Basis - (bb_std_dev * Stdev)
The upper and lower bands are plotted alongside the price to identify the price's volatility. When the price is near the upper band, it could be overbought, and near the lower band, it could be oversold.
EMA Crossovers: The Fast EMA and Slow EMA are calculated using the Exponential Moving Average (EMA) function. The crossovers are detected by checking:
Buy Signal (Bullish Crossover): When the Fast EMA crosses above the Slow EMA.
Sell Signal (Bearish Crossover): When the Fast EMA crosses below the Slow EMA.
The long_condition variable checks if the Fast EMA crosses above the Slow EMA, and the short_condition checks if it crosses below.
Visual Signals:
Background Color: The background is colored green for a buy signal and yellow for a sell signal. This gives an immediate visual cue to the trader.
Bar Color: The candles are colored green for buy signals and yellow for sell signals.
Labels:
A "BUY" label in green appears below the bar when the Fast EMA crosses above the Slow EMA.
A "SELL" label in yellow appears above the bar when the Fast EMA crosses below the Slow EMA.
Summary of Buy/Sell Logic:
Buy Signal:
The Fast EMA crosses above the Slow EMA (bullish crossover).
Volume flow is positive, indicating buying pressure.
Background turns green and candles are colored green.
A "BUY" label appears below the bar.
Sell Signal:
The Fast EMA crosses below the Slow EMA (bearish crossover).
Volume flow is negative, indicating selling pressure.
Background turns yellow and candles are colored yellow.
A "SELL" label appears above the bar.
Usage of the Indicator:
This indicator is designed to help traders identify potential entry (buy) and exit (sell) points based on:
The interaction of Exponential Moving Averages (EMAs).
The strength and direction of Volume Flow.
Price volatility using Bollinger Bands.
By combining these components, the indicator provides a comprehensive view of market conditions, helping traders make informed decisions on when to enter and exit trades.
Uptrick: Z-Score FlowOverview
Uptrick: Z-Score Flow is a technical indicator that integrates trend-sensitive momentum analysi s with mean-reversion logic derived from Z-Score calculations. Its primary objective is to identify market conditions where price has either stretched too far from its mean (overbought or oversold) or sits at a statistically “normal” range, and then cross-reference this observation with trend direction and RSI-based momentum signals. The result is a more contextual approach to trade entry and exit, emphasizing precision, clarity, and adaptability across varying market regimes.
Introduction
Financial instruments frequently transition between trending modes, where price extends strongly in one direction, and ranging modes, where price oscillates around a central value. A simple statistical measure like Z-Score can highlight price extremes by comparing the current price against its historical mean and standard deviation. However, such extremes alone can be misleading if the broader market structure is trending forcefully. Uptrick: Z-Score Flow aims to solve this gap by combining Z-Score with an exponential moving average (EMA) trend filter and a smoothed RSI momentum check, thus filtering out signals that contradict the prevailing market environment.
Purpose
The purpose of this script is to help traders pinpoint both mean-reversion opportunities and trend-based pullbacks in a way that is statistically grounded yet still mindful of overarching price action. By pairing Z-Score thresholds with supportive conditions, the script reduces the likelihood of acting on random price spikes or dips and instead focuses on movements that are significant within both historical and current contextual frameworks.
Originality and Uniquness
Layered Signal Verification: Signals require the fulfillment of multiple layers (Z-Score extreme, EMA trend bias, and RSI momentum posture) rather than merely breaching a statistical threshold.
RSI Zone Lockout: Once RSI enters an overbought/oversold zone and triggers a signal, the script locks out subsequent signals until RSI recovers above or below those zones, limiting back-to-back triggers.
Controlled Cooldown: A dedicated cooldown mechanic ensures that the script waits a specified number of bars before issuing a new signal in the opposite direction.
Gradient-Based Visualization: Distinct gradient fills between price and the Z-Mean line enhance readability, showing at a glance whether price is trading above or below its statistical average.
Comprehensive Metrics Panel: An optional on-chart table summarizes the Z-Score’s key metrics, streamlining the process of verifying current statistical extremes, mean levels, and momentum directions.
Why these indicators were merged
Z-Score measurements excel at identifying when price deviates from its mean, but they do not intrinsically reveal whether the market’s trajectory supports a reversion or if price might continue along its trend. The EMA, commonly used for spotting trend directions, offers valuable insight into whether price is predominantly ascending or descending. However, relying solely on a trend filter overlooks the intensity of price moves. RSI then adds a dedicated measure of momentum, helping confirm if the market’s energy aligns with a potential reversal (for example, price is statistically low but RSI suggests looming upward momentum). By uniting these three lenses—Z-Score for statistical context, EMA for trend direction, and RSI for momentum force—the script offers a more comprehensive and adaptable system, aiming to avoid false positives caused by focusing on just one aspect of price behavior.
Calculations
The core calculation begins with a simple moving average (SMA) of price over zLen bars, referred to as the basis. Next, the script computes the standard deviation of price over the same window. Dividing the difference between the current price and the basis by this standard deviation produces the Z-Score, indicating how many standard deviations the price is from its mean. A positive Z-Score reveals price is above its average; a negative reading indicates the opposite.
To detect overall market direction, the script calculates an exponential moving average (emaTrend) over emaTrendLen bars. If price is above this EMA, the script deems the market bullish; if below, it’s considered bearish. For momentum confirmation, the script computes a standard RSI over rsiLen bars, then applies a smoothing EMA over rsiEmaLen bars. This smoothed RSI (rsiEma) is monitored for both its absolute level (oversold or overbought) and its slope (the difference between the current and previous value). Finally, slopeIndex determines how many bars back the script compares the basis to check whether the Z-Mean line is generally rising, falling, or flat, which then informs the coloring scheme on the chart.
Calculations and Rational
Simple Moving Average for Baseline: An SMA is used for the core mean because it places equal weight on each bar in the lookback period. This helps maintain a straightforward interpretation of overbought or oversold conditions in the context of a uniform historical average.
Standard Deviation for Volatility: Standard deviation measures the variability of the data around the mean. By dividing price’s difference from the mean by this value, the Z-Score can highlight whether price is unusually stretched given typical volatility.
Exponential Moving Average for Trend: Unlike an SMA, an EMA places more emphasis on recent data, reacting quicker to new price developments. This quicker response helps the script promptly identify trend shifts, which can be crucial for filtering out signals that go against a strong directional move.
RSI for Momentum Confirmation: RSI is an oscillator that gauges price movement strength by comparing average gains to average losses over a set period. By further smoothing this RSI with another EMA, short-lived oscillations become less influential, making signals more robust.
SlopeIndex for Slope-Based Coloring: To clarify whether the market’s central tendency is rising or falling, the script compares the basis now to its level slopeIndex bars ago. A higher current reading indicates an upward slope; a lower reading, a downward slope; and similar readings, a flat slope. This is visually represented on the chart, providing an immediate sense of the directionality.
Inputs
zLen (Z-Score Period)
Specifies how many bars to include for computing the SMA and standard deviation that form the basis of the Z-Score calculation. Larger values produce smoother but slower signals; smaller values catch quick changes but may generate noise.
emaTrendLen (EMA Trend Filter)
Sets the length of the EMA used to detect the market’s primary direction. This is pivotal for distinguishing whether signals should be considered (price aligning with an uptrend or downtrend) or filtered out.
rsiLen (RSI Length)
Defines the window for the initial RSI calculation. This RSI, when combined with the subsequent smoothing EMA, forms the foundation for momentum-based signal confirmations.
rsiEmaLen (EMA of RSI Period)
Applies an exponential moving average over the RSI readings for additional smoothing. This step helps mitigate rapid RSI fluctuations that might otherwise produce whipsaw signals.
zBuyLevel (Z-Score Buy Threshold)
Determines how negative the Z-Score must be for the script to consider a potential oversold signal. If the Z-Score dives below this threshold (and other criteria are met), a buy signal is generated.
zSellLevel (Z-Score Sell Threshold)
Determines how positive the Z-Score must be for a potential overbought signal. If the Z-Score surpasses this threshold (and other checks are satisfied), a sell signal is generated.
cooldownBars (Cooldown (Bars))
Enforces a bar-based delay between opposite signals. Once a buy signal has fired, the script must wait the specified number of bars before registering a new sell signal, and vice versa.
slopeIndex (Slope Sensitivity (Bars))
Specifies how many bars back the script compares the current basis for slope coloration. A bigger slopeIndex highlights larger directional trends, while a smaller number emphasizes shorter-term shifts.
showMeanLine (Show Z-Score Mean Line)
Enables or disables the plotting of the Z-Mean and its slope-based coloring. Traders who prefer minimal chart clutter may turn this off while still retaining signals.
Features
Statistical Core (Z-Score Detection):
This feature computes the Z-Score by taking the difference between the current price and the basis (SMA) and dividing by the standard deviation. In effect, it translates price fluctuations into a standardized measure that reveals how significant a move is relative to the typical variation seen over the lookback. When the Z-Score crosses predefined thresholds (zBuyLevel for oversold and zSellLevel for overbought), it signals that price could be at an extreme.
How It Works: On each bar, the script updates the SMA and standard deviation. The Z-Score is then refreshed accordingly. Traders can interpret particularly large negative or positive Z-Score values as scenarios where price is abnormally low or high.
EMA Trend Filter:
An EMA over emaTrendLen bars is used to classify the market as bullish if the price is above it and bearish if the price is below it. This classification is applied to the Z-Score signals, accepting them only when they align with the broader price direction.
How It Works: If the script detects a Z-Score below zBuyLevel, it further checks if price is actually in a downtrend (below EMA) before issuing a buy signal. This might seem counterintuitive, but a “downtrend” environment plus an oversold reading often signals a potential bounce or a mean-reversion play. Conversely, for sell signals, the script checks if the market is in an uptrend first. If it is, an overbought reading aligns with potential profit-taking.
RSI Momentum Confirmation with Oversold/Overbought Lockout:
RSI is calculated over rsiLen, then smoothed by an EMA over rsiEmaLen. If this smoothed RSI dips below a certain threshold (for example, 30) and then begins to slope upward, the indicator treats it as a potential sign of recovering momentum. Similarly, if RSI climbs above a certain threshold (for instance, 70) and starts to slope downward, that suggests dwindling momentum. Additionally, once RSI is in these zones, the indicator locks out repetitive signals until RSI fully exits and re-enters those extreme territories.
How It Works: Each bar, the script measures whether RSI has dropped below the oversold threshold (like 30) and has a positive slope. If it does, the buy side is considered “unlocked.” For sell signals, RSI must exceed an overbought threshold (70) and slope downward. The combination of threshold and slope helps confirm that a reversal is genuinely in progress instead of issuing signals while momentum remains weak or stuck in extremes.
Cooldown Mechanism:
The script features a custom bar-based cooldown that prevents issuing new signals in the opposite direction immediately after one is triggered. This helps avoid whipsaw situations where the market quickly flips from oversold to overbought or vice versa.
How It Works: When a buy signal fires, the indicator notes the bar index. If the Z-Score and RSI conditions later suggest a sell, the script compares the current bar index to the last buy signal’s bar index. If the difference is within cooldownBars, the signal is disallowed. This ensures a predefined “quiet period” before switching signals.
Slope-Based Coloring (Z-Mean Line and Shadow):
The script compares the current basis value to its value slopeIndex bars ago. A higher reading now indicates a generally upward slope, while a lower reading indicates a downward slope. The script then shades the Z-Mean line in a corresponding bullish or bearish color, or remains neutral if little change is detected.
How It Works: This slope calculation is refreshingly straightforward: basis – basis . If the result is positive, the line is colored bullish; if negative, it is colored bearish; if approximately zero, it remains neutral. This provides a quick visual cue of the medium-term directional bias.
Gradient Overlays:
With gradient fills, the script highlights where price stands in relation to the Z-Mean. When price is above the basis, a purple-shaded region is painted, visually indicating a “bearish zone” for potential overbought conditions. When price is below, a teal-like overlay is used, suggesting a “bullish zone” for potential oversold conditions.
How It Works: Each bar, the script checks if price is above or below the basis. It then applies a fill between close and basis, using distinct colors to show whether the market is trading above or below its mean. This creates an immediate sense of how extended the market might be.
Buy and Sell Labels (with Alerts):
When a legitimate buy or sell condition passes every check (Z-Score threshold, EMA trend alignment, RSI gating, and cooldown clearance), the script plots a corresponding label directly on the chart. It also fires an alert (if alerts are set up), making it convenient for traders who want timely notifications.
How It Works: If rawBuy or rawSell conditions are met (refined by RSI, EMA trend, and cooldown constraints), the script calls the respective plot function to paint an arrow label on the chart. Alerts are triggered simultaneously, carrying easily recognizable messages.
Metrics Table:
The optional on-chart table (activated by showMetrics) presents real-time Z-Score data, including the current Z-Score, its rolling mean, the maximum and minimum Z-Score values observed over the last zLen bars, a percentile position, and a short-term directional note (rising, falling, or flat).
Current – The present Z-Score reading
Mean – Average Z-Score over the zLen period
Min/Max – Lowest and highest Z-Score values within zLen
Position – Where the current Z-Score sits between the min and max (as a percentile)
Trend – Whether the Z-Score is increasing, decreasing, or flat
Conclusion
Uptrick: Z-Score Flow offers a versatile solution for traders who need a statistically informed perspective on price extremes combined with practical checks for overall trend and momentum. By leveraging a well-defined combination of Z-Score, EMA trend classification, RSI-based momentum gating, slope-based visualization, and a cooldown mechanic, the script reduces the occurrence of false or premature signals. Its gradient fills and optional metrics table contribute further clarity, ensuring that users can quickly assess market posture and make more confident trading decisions in real time.
Disclaimer
This script is intended solely for informational and educational purposes. Trading in any financial market comes with substantial risk, and there is no guarantee of success or the avoidance of loss. Historical performance does not ensure future results. Always conduct thorough research and consider professional guidance prior to making any investment or trading decisions.
Professional MSTI+ Trading Indicator"Professional MSTI+ Trading Indicator" is a comprehensive technical analysis tool that combines over 20 indicators to generate high-quality trading signals and assess market sentiment. The script integrates standard indicators (MACD, RSI, Bollinger Bands, Stochastic, Simple Moving Averages, and Volume Analysis) with advanced components (Squeeze Momentum, Fisher Transform, True Strength Index, Heikin-Ashi, Laguerre RSI, Hull MA) and further includes metrics such as ADX, Chaikin Money Flow, Williams %R, VWAP, and EMA for in-depth market analysis.
Key Features:
Multiple Presets for Different Trading Styles:
Choose from optimal configurations like Professional, Swing Trading, Day Trading, Scalping, or Reversal Hunter. Note that the presets may not work perfectly on all pairs, and manual calibration might be required. This flexibility allows you to fine-tune the settings to align with your unique strategies and signals.
Multi-Layered Signal Filtering:
Filters based on trend, volume, and volatility help eliminate false signals, enhancing the accuracy of market entries.
Comprehensive Fear & Greed Index:
The indicator aggregates data from RSI, volatility, momentum, trend, and volume to gauge overall market sentiment, providing an additional layer of market context.
Dynamic Information Panel:
Displays detailed status updates for each component (e.g., MACD, RSI, Laguerre RSI, TSI, Fisher Transform, Squeeze, Hull MA, etc.) along with a visual strength bar that represents the intensity of the trading signal.
Signal Generation:
Buy and sell signals are generated when a predefined number of conditions are met and confirmed over multiple bars. These signals are clearly displayed on the chart with arrows, making it easier to spot potential entry and exit points.
Alert Setup:
Built-in alert conditions allow you to receive real-time notifications when trading signals are generated, helping you stay on top of market movements.
"Professional MSTI+ Trading Indicator" is designed to enhance your trading strategy by providing a multi-faceted market analysis and an intuitive visual interface. While the presets offer a robust starting point, they may require manual calibration on certain pairs, giving you the flexibility to configure your own unique strategies and signals.
IDX - 5UPThe UDX-5UP is a custom indicator designed to assist traders in identifying trends, entry and exit signals, and market reversal moments with greater accuracy. It combines price analysis, volume, and momentum (RSI) to provide clear buy ("Buy") and sell ("Sell") signals across any asset and timeframe, whether you're a scalper on the 5M chart or a swing trader on the 4H chart. Inspired by robust technical analysis strategies, the UDX-5UP is ideal for traders seeking a reliable tool to operate in volatile markets such as cryptocurrencies, forex, stocks, and futures.
Components of the UDX-5UP
The UDX-5UP consists of three main panels that work together to provide a comprehensive view of the market:
Main Panel (Price):
Pivot Supertrend: A dynamic line that changes color to indicate the trend. Green for an uptrend (look for buys), red for a downtrend (look for sells).
SMAs (Simple Moving Averages): Two SMAs (8 and 21 periods) to confirm the trend direction. When the SMA 8 crosses above the SMA 21, it’s a bullish signal; when it crosses below, it’s a bearish signal.
Entry/Exit Signals: "Buy" (green) and "Sell" (red) labels are plotted on the chart when entry or exit conditions are met.
Volume Panel:
Colored Volume Bars: Green bars indicate dominant buying volume, while red bars indicate dominant selling volume.
Volume Moving Average (MA 20): A blue line that helps identify whether the current volume is above or below the average, confirming the strength of the movement.
RSI Panel:
RSI (Relative Strength Index): Calculated with a period of 14, with overbought (70) and oversold (30) lines to identify momentum extremes.
Divergences: The indicator detects divergences between the RSI and price, plotting signals for potential reversals.
How the UDX-5UP Works
The UDX-5UP uses a combination of rules to generate buy and sell signals:
Buy Signal ("Buy"):
The Pivot Supertrend changes from red to green.
The SMA 8 crosses above the SMA 21.
The volume is above the MA 20, with green bars (indicating buying pressure).
The RSI is rising and, ideally, below 70 (not overbought).
Example: On the 4H chart, the price of Tether (USDT) is at 0.05515. The Pivot Supertrend turns green, the SMA 8 crosses above the SMA 21, the volume shows green bars above the MA 20, and the RSI is at 46. The UDX-5UP plots a "Buy".
Sell Signal ("Sell"):
The Pivot Supertrend changes from green to red.
The SMA 8 crosses below the SMA 21.
The volume is above the MA 20, with red bars (indicating selling pressure).
The RSI is falling and, ideally, above 70 (overbought).
Example: On the 4H chart, the price of Tether rises to 0.05817. The Pivot Supertrend turns red, the SMA 8 crosses below the SMA 21, the volume shows red bars, and the RSI is above 70. The UDX-5UP plots a "Sell".
RSI Divergences:
The indicator identifies bullish divergences (price makes a lower low, but RSI makes a higher low) and bearish divergences (price makes a higher high, but RSI makes a lower high), plotting alerts for potential reversals.
Adjustable Settings
The UDX-5UP is highly customizable to suit your trading style:
Pivot Supertrend Period: Default is 2. Increase to 3 or 4 for more conservative signals (fewer false positives, but more lag).
SMA Periods: Default is 8 and 21. Adjust to 5 and 13 for smaller timeframes (e.g., 5M) or 13 and 34 for larger timeframes (e.g., 1D).
RSI Period: Default is 14. Reduce to 10 for greater sensitivity or increase to 20 for smoother signals.
Overbought/Oversold Levels: Default is 70/30. Adjust to 80/20 in volatile markets.
Display Panels: You can enable/disable the volume and RSI panels to simplify the chart.
How to Use the UDX-5UP
Identify the Trend:
Use the Pivot Supertrend and SMAs to determine the market direction. Uptrend: look for buys. Downtrend: look for sells.
Confirm with Volume and RSI:
For buys: Volume above the MA 20 with green bars, RSI rising and below 70.
For sells: Volume above the MA 20 with red bars, RSI falling and above 70.
Enter the Trade:
Enter a buy when the UDX-5UP plots a "Buy" and all conditions are aligned.
Enter a sell when the UDX-5UP plots a "Sell" and all conditions are aligned.
Plan the Exit:
Use Fibonacci levels or support/resistance on the price chart to set targets.
Exit the trade when the UDX-5UP plots an opposite signal ("Sell" after a buy, "Buy" after a sell).
Tips for Beginners
Start with Larger Timeframes: Use the 4H or 1D chart for more reliable signals and less noise.
Combine with Other Indicators: Use the UDX-5UP with tools like Fibonacci or the Candles RSI (another powerful indicator) to confirm signals.
Practice in Demo Mode: Test the indicator in a demo account before using real money.
Manage Risk: Always use a stop-loss and don’t risk more than 1-2% of your capital per trade.
Why Use the UDX-5UP?
Simplicity: Clear "Buy" and "Sell" signals make trading accessible even for beginners.
Versatility: Works on any asset (crypto, forex, stocks) and timeframe.
Multiple Confirmations: Combines price, volume, and momentum to reduce false signals.
Customizable: Adjust the settings to match your trading style.
Author’s Notes
The UDX-5UP was developed based on years of trading and technical analysis experience. It is an evolution of tested strategies, designed to help traders navigate volatile markets with confidence. However, no indicator is infallible. Always combine the UDX-5UP with proper risk management and fundamental analysis, especially in unpredictable markets. Feedback is welcome – leave a comment or reach out with suggestions for improvements!
Uptrick: Reversal Matrix +Overview
The Uptrick: Reversal Matrix + is designed as a comprehensive tool that organizes market information in a visually intuitive way. It presents a variety of signals and data points on the chart, aiming to provide clarity about potential reversals, directional momentum, and the broader context surrounding price behavior. By consolidating numerous indicators and statistics into a single interface, it serves as a versatile companion for different trading styles and time horizons.
Purpose
This indicator offers a multifunctional approach to market analysis. It seeks to help users gain a more holistic view of current conditions rather than focusing on isolated data points. Its primary goal is to guide traders toward recognizing evolving market structures, shifts in buying or selling pressure, and periods where price movement may exhibit stronger or weaker momentum. Because it is designed for adaptive use, it can cater to fast, intraday styles or more deliberate, long-term strategies, depending on how the user configures it.
Originality and Uniqueness
The Reversal Matrix + stands out by merging various categories of market data into cohesive visuals and tables. While many indicators offer singular signals or straightforward buy/sell prompts, this script integrates numerous underlying components and displays them in organized panels. Each piece of data, from volume characteristics to volatility states, is contextualized. This multi-layered approach helps traders see more than just a single dimension of the market. Whether one is exploring short-term breakouts, potential traps, or broader market regimes, the tool accommodates multiple perspectives within a single framework.
Inputs
1. Sensitivity.
This setting allows you to choose different levels based on how frequently you would like signals to appear. Selecting a higher sensitivity may capture faster changes but can produce a greater number of signals. More moderate or smoother settings can be preferable for users looking for less frequent but potentially clearer indications of shifts.
2. Trading Style.
This option adapts the tool to match conservative, normal, or more aggressive preferences. When choosing a conservative style, the script attempts to filter out smaller fluctuations, while the aggressive style might highlight more potential turning points as they emerge.
3. Potential Signal Threshold Difference
This setting adjusts the sensitivity of potential reversal signals. A lower value means the script will highlight only the most distinct setups, filtering out weaker or borderline scenarios. A higher value makes the tool more receptive to subtle shifts, potentially flagging more frequent signals. It allows users to fine-tune how responsive the script is to early momentum changes, depending on their preferred level of signal strictness.
4. Table Positions (Optional).
There are inputs that let you decide the on-chart position of the tables. You can enable or disable these tables and choose where they appear (for instance, top-right or bottom-left), depending on how you want the data displayed alongside price bars.
Table and Its Position
When enabled, a large table, known as the Full Metrics Table, offers extensive details about various technical and behavioral metrics. You can place it anywhere on your chart layout for convenience. It is designed to give you a granular view of current conditions without overwhelming the main price candles themselves.
Another, smaller panel known as the Final Verdict Table can also be displayed at a user-chosen position. This panel simplifies the script’s internal assessments into broader verdicts or summaries, allowing for a quick read on the market’s status.
Features
Multi-Faceted Signal and Alert System.
The indicator continuously scans market activity, highlighting events such as sudden rises or drops, changes in volatility, and shifts in momentum. Users can configure an array of alerts that instantly notify them of these occurrences, reducing the need to constantly monitor the chart.
Candle Overlays and Fading Effects .
In addition to standard chart candles, the script offers visual cues by shading or coloring candles differently when it detects certain signals. The fading mechanism gradually diminishes the bar color of older signals so that recent ones are more noticeable. This helps keep the focus on current opportunities while retaining a historical context.
Contextual Market Synopsis .
Each time a candle closes, the tool updates a variety of behind-the-scenes checks. This process helps the user see whether the market remains within the same general state (trending, ranging, or reversing) or is shifting rapidly. It also adds clarity when conditions may be transitioning between bullish and bearish inclinations.
Adaptable Settings for Different Styles .
Since traders differ in their tolerance for rapid fluctuations, the script’s adjustable Sensitivity and Trading Style inputs provide a way to fine-tune how it reacts. Someone trading on shorter timeframes can opt for more frequent signals that capture subtle changes, whereas a position trader might lean toward smoother outputs that highlight only stronger, more sustained conditions.
Extended Data Analysis .
Beyond immediate buy/sell possibilities, the Reversal Matrix+ delivers comprehensive data to help users confirm or question a market stance. A wide range of volume, volatility, and price action elements are factored in, giving each signal additional context rather than a simple green or red highlight.
Final Verdict Summaries .
When the second table is enabled, it condenses key aspects of the indicator’s internal logic into straightforward statements. Rather than navigating multiple data rows, you can check if the market appears more stable or volatile, potentially bullish or bearish, and whether a reversal probability is deemed high or low.
Large-Scale Alert Coverage .
More than fifty specialized alerts focus on distinct aspects, enabling users to track everything from volume anomalies to momentum acceleration.
Specialized Color Schemes .
To assist in quickly spotting bullish or bearish tendencies, candles and background components may be tinted in line with the latest recognized conditions. This visual reinforcement makes it easier to decide if ongoing signals confirm a previous stance or suggest a change.
Buy/Sell Signals
A core function of the script is to present buy and sell indications on the chart, identifying moments when price momentum may be shifting in a meaningful way. These signals come in two varieties: potential reversals and confirmed reversals. Potential reversals appear sooner, providing an early heads-up that market behavior could be turning. Confirmed reversals require a stronger confluence of underlying conditions, aiming to reduce the likelihood of false starts.
Internally, the script examines multiple facets—such as momentum flow, changes in volatility, and volume characteristics—to determine when a potential transition is noteworthy enough to highlight as a signal. As soon as those conditions line up, the script applies distinct markers or shapes to the candles, making it easy to spot these pivotal points on the chart. In addition, each new signal is emphasized through color-based candle shading, while older signals gradually fade to keep attention on the most relevant opportunities.
Although these signals can function as standalone cues, many traders pair them with the script’s other outputs—such as the Full Metrics Table, the Final Verdict Table, and specialized alerts—to form a more complete perspective. For instance, a potential buy signal spotted in real time may gain extra weight if certain metrics in the table reflect a constructive market backdrop. Meanwhile, the final verdict can offer a succinct confirmation or contradiction to what the buy or sell signal suggests. By combining these elements, traders can pursue strategies that balance both immediacy and context, tailoring their entries and exits to their own tolerance for risk and time horizon.
These features collectively allow users to explore the market from multiple angles. Whether one seeks a deeper technical dive or simpler guidance, the indicator’s layered design aims to cater to a broad spectrum of trading approaches.
Full Metrics Table
A key element of Uptrick: Reversal Matrix+ is the extensive set of data displayed within the Full Metrics Table. Below is an expanded explanation of the sixty-four core metrics. Each is accompanied by a brief statement about its practical significance.
Price
Displays current price.
Price Percent
Shows how much the price has shifted in percentage terms over a recent comparison point. Useful for gauging recent moves.
Vo Open
Presents price movement in relation to the candle’s open. Helps traders see if momentum favored bullish or bearish direction within the candle.
Range Percent
Depicts the span between high and low over the candle’s range, offering a measure of volatility within that candle.
Bodi Percent
Indicates how much of the candle is body as opposed to wick. Shows whether there was more decisive movement or more back-and-forth trading.
Volatility
Generically measures how dramatically price has been fluctuating over a given period. Helps users notice if the market is calm or very active.
Mpeed
Represents a sense of speed in price movement, potentially revealing if momentum is picking up or slowing down.
Accel
Points to how quickly price movement shifts from one level of speed to another. Can hint at a market that is accelerating or flattening out.
Volume
Reflects how many shares, contracts, or units are traded within the current bar. Higher volume may suggest stronger conviction.
Vol Percent
Shows how the volume compares, in percentage, to a previous period’s volume. Useful for spotting surges or drops in trading activity.
Mession Hi
Captures the highest point within a recent observed period or session. Often watched for potential breakout or reversal clues.
Mession Lo
Captures the lowest point within a recent observed period or session. Similarly, used to watch for support or breakdowns.
Pos Percent
Indicates how far the current price stands within its range. Being near the upper percentile suggests strength or an overbought scenario, depending on the viewpoint.
Mpread
Offers a sense of the overall spread in price action, which can reflect the determination of buyers or sellers within a candle.
Gap
Shows the difference in price from a prior close or from some previous reference point. Helps identify abrupt shifts in sentiment.
Conf. (Core)
Presents a general level of signal confidence based on internal checks. Assists in quickly scanning for whether a candle is aligned with broader market patterns.
Availability
Describes liquidity conditions, such as whether the market seems actively traded or comparatively thinner.
Conf. Bias
Highlights if price and momentum appear to confirm a prevailing direction, or if there is a noticeable lack of such alignment.
Valuation
Suggests how current price compares to an internal yardstick of fair or undervalued settings. Useful for spotting potential discount or premium zones.
Reversal
Warns about the possibility that price may turn from its recent direction. Intriguing for those who look for turning points at the end of trends.
Vol. Mtate
Indicates whether conditions are characterized by subdued or elevated swings. A higher reading may signal that caution is warranted.
Direction
Reflects a bullish or bearish inclination based on internal data. Provides a simplified way to see whether momentum is leaning up or down.
Vol. Clarity
Measures the clarity of volume movement, potentially detecting spikes or plateaus that can confirm or contradict price action.
Mtructure
Offers insight into how recent highs and lows are forming. A market that keeps printing higher highs and lows might suggest ongoing upward momentum.
Reaction
Shows how quickly the market responds to new information. Speedy changes may indicate more emotionally driven or news-influenced trading.
Trend Conf.
Suggests the tool’s assessment of how solid or fragile a given direction is. Useful for quickly seeing if a trend might persist.
Zone
Labels whether price is running near top or bottom levels of a selected range, helping identify if a market is pushing extremes.
Ehhaustion
Reveals if a move might be overextended and could retrace. Helpful in deciding whether to take profits or wait for a deeper confirmation.
Range Env
Describes whether the market is operating in a tight or wide range. Can help in choosing strategies like breakout or range-bound approaches.
Demand
Reports on whether buying demand or selling supply is more dominant in the current period. Assists in gauging short-term pressure.
Conf. Level
Provides an additional notion of how firm a signal might be. It may be labeled as early or fully formed, helping with timing considerations.
Momentum
Conveys whether price is accelerating upward, decelerating, or shifting into a more neutral gear.
Higher Close Percent
Indicates the frequency of consecutive higher closes over recent bars. Demonstrates if a market is consistently pushing upward.
Bear Trap
Points to scenarios where sellers could be caught off guard if the market reverses after a seemingly bearish move.
Bull Trap
Opposite of the above, hinting that buyers may be misled if price fails to hold after a seemingly bullish shift.
Vol Mqueeze
Identifies periods where volume and volatility might be compressing. Often used by traders to anticipate a potential abrupt expansion in movement.
Divergence
Suggests a mismatch between price and internal momentum signals. May foretell a hidden reversal or shift in direction.
Hist. Vol
Provides a longer-term viewpoint of how volatility stands in the broader scope, enabling comparison between current choppiness and previous norms.
Velocity
Tracks the overall vigor of price movement. A high velocity can mean powerful directional drive.
Wick Ratio
Analyzes the presence of upper or lower wicks and can suggest whether buying or selling tails are dominant within each bar.
Decision Bias
Indicates how the script perceives near-term market consensus. A strong bias may reveal one side’s momentum more clearly.
Break Chance
Hints at whether a local high or low has a fair possibility of being broken, which can be relevant to breakout-style trading.
Trend Mlope
Observes the slope of the ongoing trend, showing whether price is inclining, declining, or moving sideways over a specified window.
Trend Dir
Concisely states if that slope leans upward or downward. Useful for determining basic directional posture at a glance.
Regime
Groups the market environment into stable bullish, stable bearish, or a more unsettled pattern, helping shape strategic decisions.
Price Comparison
Shows whether price is trading above or below certain historical or moving references. Provides a broad sense of market posture.
Vol Mhift
Highlights any general upswing or downswing in traded volume, indicating whether participants are stepping in or scaling back.
Mtructural Balance
Offers an overview of whether the chart bars show more wick dominance or more body dominance. Helps in reading subtle shifts in power.
Flow Mtability
Portrays how orderly or choppy the price movement is. Less stable flow can lead to more frequent reversals or whipsaws.
Liquidity Pull
Shows the extent to which trading activity may be magnetizing price, helping gauge if there is substantial interest at certain zones.
Bar Mhape
Describes the candle’s shape, such as longer upper or lower tails, which can point to rejections or confirmations of direction.
Bui/Mell Rating
Reveals which side holds greater influence at a glance. Might display more leaning to buy strength or to sell pressure.
Range Vol Flow
Monitors the interplay between how wide the range is and how volume is behaving. If both are expanding, more powerful swings may follow.
Hiper Move
Spots especially strong or sudden moves. Could be a swift jump up or down, prompting attention to volatility management.
Candle Force
Indicates how forceful a candle’s close is compared to its full range. Strong force bars often underscore decisive momentum.
Hi/Lo Tag
Alerts you to newly formed session extremes, helping confirm if recent highs or lows are significant.
Price Action
Labels the candle as leaning bullish, leaning bearish, or neutral, providing a concise understanding of the immediate tone.
Vol Abnorm
Distinguishes between typical volume and unusually high volume that might signal institutional trading or news releases.
Trend Match
Checks if short-term direction is aligned with a broader trend. Clear alignment can strengthen confidence in that direction.
Move Confirm
Conveys whether the tool sees a price movement as already established or still in a formative state.
Momentum Focus
Gives a quick snapshot of whether price momentum is generally tilting higher, lower, or holding steady.
Vol Total
Presents a broad average or accumulated sense of volume over a longer window, providing context for current activity.
Hist. Accum
Positions price within a more extended historical range, allowing one to see if the asset is near major peaks or troughs.
Trap Bias
Informs if the market may be showing conditions that lead to bull traps or bear traps, cautioning traders who chase rapid moves.
Final Verdict Table
The secondary table, known as the Final Verdict Table, condenses the tool’s main findings into concise statements. It watches for patterns such as alignment of trends, clarity of momentum, perceived volatility conditions, and possible reversals. Depending on what the script observes, the table might suggest a bullish confluence, a bearish confluence, an unstable market environment, or a more neutral outlook. This feature is particularly helpful for traders who prefer quick insights over a detailed breakdown of every metric.
Metrics Included in the Final Verdict Table
Directional Momentum Flow
This entry shows how the indicator interprets short-term momentum for the current market. If momentum appears to be gaining strength in one direction, it may indicate that buyers or sellers have a slight edge, whereas a flat reading might suggest indecision.
Volatility Regime Assessment
This metric provides insight into whether the market is relatively calm, moderate, or experiencing elevated volatility. A calmer volatility state might favor steadier strategies, while higher volatility could signal the potential for wider price swings.
Trend Continuity Confidence
This section reflects how confident the tool is in the market’s current trend. It helps traders see whether recent action supports a persistent uptrend, downtrend, or if there is ambiguity that undermines the idea of a consistent directional movement.
Reversal Probability Index
Here, the table evaluates whether conditions are conducive to a market turnaround. If the script observes signs of exhaustion or conflict in momentum, it may suggest an increased possibility of the price switching direction.
Manipulation Detector
This component looks for signals that the market may be attempting to trap buyers or sellers. For instance, a sudden shift might hint at a bull or bear trap scenario. This readout serves to caution against seemingly obvious moves that could quickly reverse.
Final Verdict
Below these metrics, the table presents a single overall statement that integrates the above factors. This final verdict can range from identifying a bullish or bearish confluence to calling the market unstable or neutral if conditions are inconclusive. It is intended to be a quick, high-level summary of the script’s general stance on the market.
Any Other Features
Users can access more than fifty specialized alerts that target different market conditions, from potential trap scenarios to shifts in volatility regimes. These alerts can be integrated into various platforms, ensuring that traders receive immediate notifications when critical triggers occur. The color-coded candle approach, combined with fading effects, helps maintain chart readability. Over time, this setup encourages a balance between a detailed backdrop of market data and a clear depiction of fresh signals.
Why More than One Indicator
Integrating multiple components under one roof offers several advantages. It reduces the chance of relying on a single dimension, such as price action alone, which can sometimes mislead or generate frequent false signals. By combining various measures of volatility, volume, and price structure, the script can reveal confluences or disagreements among different elements. This multi-faceted approach can improve clarity, making it easier to decide when conditions line up favorably or when they conflict, thereby prompting caution.
Conclusion
In summary, the Uptrick: Reversal Matrix + aims to deliver a sweeping overview of market dynamics. It guides users from raw observations—like price and volume—to broader insights concerning trend stability, potential reversals, and overall liquidity. Its dual-table system allows for both fine-grained analysis and fast verdicts, catering to traders with varying degrees of time and attention. The numerous alerts and color coding schemes further round out its capacity for real-time monitoring and visually clear signal presentation.
Disclaimer
Trading involves inherent risks, and no tool can entirely eliminate uncertainty. This indicator’s materials are provided for informational purposes, without guarantees regarding future performance. Traders should exercise due diligence, apply sound risk management, and consider professional advice. The Uptrick: Reversal Matrix+ does not assume responsibility for financial decisions made based on its output.
Fuzzy SMA with DCTI Confirmation[FibonacciFlux]FibonacciFlux: Advanced Fuzzy Logic System with Donchian Trend Confirmation
Institutional-grade trend analysis combining adaptive Fuzzy Logic with Donchian Channel Trend Intensity for superior signal quality
Conceptual Framework & Research Foundation
FibonacciFlux represents a significant advancement in quantitative technical analysis, merging two powerful analytical methodologies: normalized fuzzy logic systems and Donchian Channel Trend Intensity (DCTI). This sophisticated indicator addresses a fundamental challenge in market analysis – the inherent imprecision of trend identification in dynamic, multi-dimensional market environments.
While traditional indicators often produce simplistic binary signals, markets exist in states of continuous, graduated transition. FibonacciFlux embraces this complexity through its implementation of fuzzy set theory, enhanced by DCTI's structural trend confirmation capabilities. The result is an indicator that provides nuanced, probabilistic trend assessment with institutional-grade signal quality.
Core Technological Components
1. Advanced Fuzzy Logic System with Percentile Normalization
At the foundation of FibonacciFlux lies a comprehensive fuzzy logic system that transforms conventional technical metrics into degrees of membership in linguistic variables:
// Fuzzy triangular membership function with robust error handling
fuzzy_triangle(val, left, center, right) =>
if na(val)
0.0
float denominator1 = math.max(1e-10, center - left)
float denominator2 = math.max(1e-10, right - center)
math.max(0.0, math.min(left == center ? val <= center ? 1.0 : 0.0 : (val - left) / denominator1,
center == right ? val >= center ? 1.0 : 0.0 : (right - val) / denominator2))
The system employs percentile-based normalization for SMA deviation – a critical innovation that enables self-calibration across different assets and market regimes:
// Percentile-based normalization for adaptive calibration
raw_diff = price_src - sma_val
diff_abs_percentile = ta.percentile_linear_interpolation(math.abs(raw_diff), normLookback, percRank) + 1e-10
normalized_diff_raw = raw_diff / diff_abs_percentile
normalized_diff = useClamping ? math.max(-clampValue, math.min(clampValue, normalized_diff_raw)) : normalized_diff_raw
This normalization approach represents a significant advancement over fixed-threshold systems, allowing the indicator to automatically adapt to varying volatility environments and maintain consistent signal quality across diverse market conditions.
2. Donchian Channel Trend Intensity (DCTI) Integration
FibonacciFlux significantly enhances fuzzy logic analysis through the integration of Donchian Channel Trend Intensity (DCTI) – a sophisticated measure of trend strength based on the relationship between short-term and long-term price extremes:
// DCTI calculation for structural trend confirmation
f_dcti(src, majorPer, minorPer, sigPer) =>
H = ta.highest(high, majorPer) // Major period high
L = ta.lowest(low, majorPer) // Major period low
h = ta.highest(high, minorPer) // Minor period high
l = ta.lowest(low, minorPer) // Minor period low
float pdiv = not na(L) ? l - L : 0 // Positive divergence (low vs major low)
float ndiv = not na(H) ? H - h : 0 // Negative divergence (major high vs high)
float divisor = pdiv + ndiv
dctiValue = divisor == 0 ? 0 : 100 * ((pdiv - ndiv) / divisor) // Normalized to -100 to +100 range
sigValue = ta.ema(dctiValue, sigPer)
DCTI provides a complementary structural perspective on market trends by quantifying the relationship between short-term and long-term price extremes. This creates a multi-dimensional analysis framework that combines adaptive deviation measurement (fuzzy SMA) with channel-based trend intensity confirmation (DCTI).
Multi-Dimensional Fuzzy Input Variables
FibonacciFlux processes four distinct technical dimensions through its fuzzy system:
Normalized SMA Deviation: Measures price displacement relative to historical volatility context
Rate of Change (ROC): Captures price momentum over configurable timeframes
Relative Strength Index (RSI): Evaluates cyclical overbought/oversold conditions
Donchian Channel Trend Intensity (DCTI): Provides structural trend confirmation through channel analysis
Each dimension is processed through comprehensive fuzzy sets that transform crisp numerical values into linguistic variables:
// Normalized SMA Deviation - Self-calibrating to volatility regimes
ndiff_LP := fuzzy_triangle(normalized_diff, norm_scale * 0.3, norm_scale * 0.7, norm_scale * 1.1)
ndiff_SP := fuzzy_triangle(normalized_diff, norm_scale * 0.05, norm_scale * 0.25, norm_scale * 0.5)
ndiff_NZ := fuzzy_triangle(normalized_diff, -norm_scale * 0.1, 0.0, norm_scale * 0.1)
ndiff_SN := fuzzy_triangle(normalized_diff, -norm_scale * 0.5, -norm_scale * 0.25, -norm_scale * 0.05)
ndiff_LN := fuzzy_triangle(normalized_diff, -norm_scale * 1.1, -norm_scale * 0.7, -norm_scale * 0.3)
// DCTI - Structural trend measurement
dcti_SP := fuzzy_triangle(dcti_val, 60.0, 85.0, 101.0) // Strong Positive Trend (> ~85)
dcti_WP := fuzzy_triangle(dcti_val, 20.0, 45.0, 70.0) // Weak Positive Trend (~30-60)
dcti_Z := fuzzy_triangle(dcti_val, -30.0, 0.0, 30.0) // Near Zero / Trendless (~+/- 20)
dcti_WN := fuzzy_triangle(dcti_val, -70.0, -45.0, -20.0) // Weak Negative Trend (~-30 - -60)
dcti_SN := fuzzy_triangle(dcti_val, -101.0, -85.0, -60.0) // Strong Negative Trend (< ~-85)
Advanced Fuzzy Rule System with DCTI Confirmation
The core intelligence of FibonacciFlux lies in its sophisticated fuzzy rule system – a structured knowledge representation that encodes expert understanding of market dynamics:
// Base Trend Rules with DCTI Confirmation
cond1 = math.min(ndiff_LP, roc_HP, rsi_M)
strength_SB := math.max(strength_SB, cond1 * (dcti_SP > 0.5 ? 1.2 : dcti_Z > 0.1 ? 0.5 : 1.0))
// DCTI Override Rules - Structural trend confirmation with momentum alignment
cond14 = math.min(ndiff_NZ, roc_HP, dcti_SP)
strength_SB := math.max(strength_SB, cond14 * 0.5)
The rule system implements 15 distinct fuzzy rules that evaluate various market conditions including:
Established Trends: Strong deviations with confirming momentum and DCTI alignment
Emerging Trends: Early deviation patterns with initial momentum and DCTI confirmation
Weakening Trends: Divergent signals between deviation, momentum, and DCTI
Reversal Conditions: Counter-trend signals with DCTI confirmation
Neutral Consolidations: Minimal deviation with low momentum and neutral DCTI
A key innovation is the weighted influence of DCTI on rule activation. When strong DCTI readings align with other indicators, rule strength is amplified (up to 1.2x). Conversely, when DCTI contradicts other indicators, rule impact is reduced (as low as 0.5x). This creates a dynamic, self-adjusting system that prioritizes high-conviction signals.
Defuzzification & Signal Generation
The final step transforms fuzzy outputs into a precise trend score through center-of-gravity defuzzification:
// Defuzzification with precise floating-point handling
denominator = strength_SB + strength_WB + strength_N + strength_WBe + strength_SBe
if denominator > 1e-10
fuzzyTrendScore := (strength_SB * STRONG_BULL + strength_WB * WEAK_BULL +
strength_N * NEUTRAL + strength_WBe * WEAK_BEAR +
strength_SBe * STRONG_BEAR) / denominator
The resulting FuzzyTrendScore ranges from -1.0 (Strong Bear) to +1.0 (Strong Bull), with critical threshold zones at ±0.3 (Weak trend) and ±0.7 (Strong trend). The histogram visualization employs intuitive color-coding for immediate trend assessment.
Strategic Applications for Institutional Trading
FibonacciFlux provides substantial advantages for sophisticated trading operations:
Multi-Timeframe Signal Confirmation: Institutional-grade signal validation across multiple technical dimensions
Trend Strength Quantification: Precise measurement of trend conviction with noise filtration
Early Trend Identification: Detection of emerging trends before traditional indicators through fuzzy pattern recognition
Adaptive Market Regime Analysis: Self-calibrating analysis across varying volatility environments
Algorithmic Strategy Integration: Well-defined numerical output suitable for systematic trading frameworks
Risk Management Enhancement: Superior signal fidelity for risk exposure optimization
Customization Parameters
FibonacciFlux offers extensive customization to align with specific trading mandates and market conditions:
Fuzzy SMA Settings: Configure baseline trend identification parameters including SMA, ROC, and RSI lengths
Normalization Settings: Fine-tune the self-calibration mechanism with adjustable lookback period, percentile rank, and optional clamping
DCTI Parameters: Optimize trend structure confirmation with adjustable major/minor periods and signal smoothing
Visualization Controls: Customize display transparency for optimal chart integration
These parameters enable precise calibration for different asset classes, timeframes, and market regimes while maintaining the core analytical framework.
Implementation Notes
For optimal implementation, consider the following guidance:
Higher timeframes (4H+) benefit from increased normalization lookback (800+) for stability
Volatile assets may require adjusted clamping values (2.5-4.0) for optimal signal sensitivity
DCTI parameters should be aligned with chart timeframe (higher timeframes require increased major/minor periods)
The indicator performs exceptionally well as a trend filter for systematic trading strategies
Acknowledgments
FibonacciFlux builds upon the pioneering work of Donovan Wall in Donchian Channel Trend Intensity analysis. The normalization approach draws inspiration from percentile-based statistical techniques in quantitative finance. This indicator is shared for educational and analytical purposes under Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) license.
Past performance does not guarantee future results. All trading involves risk. This indicator should be used as one component of a comprehensive analysis framework.
Shout out @DonovanWall
Multi-Fibonacci Trend Average[FibonacciFlux]Multi-Fibonacci Trend Average (MFTA): An Institutional-Grade Trend Confluence Indicator for Discerning Market Participants
My original indicator/Strategy:
Engineered for the sophisticated demands of institutional and advanced traders, the Multi-Fibonacci Trend Average (MFTA) indicator represents a paradigm shift in technical analysis. This meticulously crafted tool is designed to furnish high-definition trend signals within the complexities of modern financial markets. Anchored in the rigorous principles of Fibonacci ratios and augmented by advanced averaging methodologies, MFTA delivers a granular perspective on trend dynamics. Its integration of Multi-Timeframe (MTF) filters provides unparalleled signal robustness, empowering strategic decision-making with a heightened degree of confidence.
MFTA indicator on BTCUSDT 15min chart with 1min RSI and MACD filters enabled. Note the refined signal generation with reduced noise.
MFTA indicator on BTCUSDT 15min chart without MTF filters. While capturing more potential trading opportunities, it also generates a higher frequency of signals, including potential false positives.
Core Innovation: Proprietary Fibonacci-Enhanced Supertrend Averaging Engine
The MFTA indicator’s core innovation lies in its proprietary implementation of Supertrend analysis, strategically fortified by Fibonacci ratios to construct a truly dynamic volatility envelope. Departing from conventional Supertrend methodologies, MFTA autonomously computes not one, but three distinct Supertrend lines. Each of these lines is uniquely parameterized by a specific Fibonacci factor: 0.618 (Weak), 1.618 (Medium/Golden Ratio), and 2.618 (Strong/Extended Fibonacci).
// Fibonacci-based factors for multiple Supertrend calculations
factor1 = input.float(0.618, 'Factor 1 (Weak/Fibonacci)', minval=0.01, step=0.01, tooltip='Factor 1 (Weak/Fibonacci)', group="Fibonacci Supertrend")
factor2 = input.float(1.618, 'Factor 2 (Medium/Golden Ratio)', minval=0.01, step=0.01, tooltip='Factor 2 (Medium/Golden Ratio)', group="Fibonacci Supertrend")
factor3 = input.float(2.618, 'Factor 3 (Strong/Extended Fib)', minval=0.01, step=0.01, tooltip='Factor 3 (Strong/Extended Fib)', group="Fibonacci Supertrend")
This multi-faceted architecture adeptly captures a spectrum of market volatility sensitivities, ensuring a comprehensive assessment of prevailing conditions. Subsequently, the indicator algorithmically synthesizes these disparate Supertrend lines through arithmetic averaging. To achieve optimal signal fidelity and mitigate inherent market noise, this composite average is further refined utilizing an Exponential Moving Average (EMA).
// Calculate average of the three supertends and a smoothed version
superlength = input.int(21, 'Smoothing Length', tooltip='Smoothing Length for Average Supertrend', group="Fibonacci Supertrend")
average_trend = (supertrend1 + supertrend2 + supertrend3) / 3
smoothed_trend = ta.ema(average_trend, superlength)
The resultant ‘Smoothed Trend’ line emerges as a remarkably responsive yet stable trend demarcation, offering demonstrably superior clarity and precision compared to singular Supertrend implementations, particularly within the turbulent dynamics of high-volatility markets.
Elevated Signal Confluence: Integrated Multi-Timeframe (MTF) Validation Suite
MFTA transcends the limitations of conventional trend indicators by incorporating an advanced suite of three independent MTF filters: RSI, MACD, and Volume. These filters function as sophisticated validation protocols, rigorously ensuring that only signals exhibiting a confluence of high-probability factors are brought to the forefront.
1. Granular Lower Timeframe RSI Momentum Filter
The Relative Strength Index (RSI) filter, computed from a user-defined lower timeframe, furnishes critical momentum-based signal validation. By meticulously monitoring RSI dynamics on an accelerated timeframe, traders gain the capacity to evaluate underlying momentum strength with precision, prior to committing to signal execution on the primary chart timeframe.
// --- Lower Timeframe RSI Filter ---
ltf_rsi_filter_enable = input.bool(false, title="Enable RSI Filter", group="MTF Filters", tooltip="Use RSI from lower timeframe as a filter")
ltf_rsi_timeframe = input.timeframe("1", title="RSI Timeframe", group="MTF Filters", tooltip="Timeframe for RSI calculation")
ltf_rsi_length = input.int(14, title="RSI Length", minval=1, group="MTF Filters", tooltip="Length for RSI calculation")
ltf_rsi_threshold = input.int(30, title="RSI Threshold", minval=0, maxval=100, group="MTF Filters", tooltip="RSI value threshold for filtering signals")
2. Convergent Lower Timeframe MACD Trend-Momentum Filter
The Moving Average Convergence Divergence (MACD) filter, also calculated on a lower timeframe basis, introduces a critical layer of trend-momentum convergence confirmation. The bullish signal configuration rigorously mandates that the MACD line be definitively positioned above the Signal line on the designated lower timeframe. This stringent condition ensures a robust indication of converging momentum that aligns synergistically with the prevailing trend identified on the primary timeframe.
// --- Lower Timeframe MACD Filter ---
ltf_macd_filter_enable = input.bool(false, title="Enable MACD Filter", group="MTF Filters", tooltip="Use MACD from lower timeframe as a filter")
ltf_macd_timeframe = input.timeframe("1", title="MACD Timeframe", group="MTF Filters", tooltip="Timeframe for MACD calculation")
ltf_macd_fast_length = input.int(12, title="MACD Fast Length", minval=1, group="MTF Filters", tooltip="Fast EMA length for MACD")
ltf_macd_slow_length = input.int(26, title="MACD Slow Length", minval=1, group="MTF Filters", tooltip="Slow EMA length for MACD")
ltf_macd_signal_length = input.int(9, title="MACD Signal Length", minval=1, group="MTF Filters", tooltip="Signal SMA length for MACD")
3. Definitive Volume Confirmation Filter
The Volume Filter functions as an indispensable arbiter of trade conviction. By establishing a dynamic volume threshold, defined as a percentage relative to the average volume over a user-specified lookback period, traders can effectively ensure that all generated signals are rigorously validated by demonstrably increased trading activity. This pivotal validation step signifies robust market participation, substantially diminishing the potential for spurious or false breakout signals.
// --- Volume Filter ---
volume_filter_enable = input.bool(false, title="Enable Volume Filter", group="MTF Filters", tooltip="Use volume level as a filter")
volume_threshold_percent = input.int(title="Volume Threshold (%)", defval=150, minval=100, group="MTF Filters", tooltip="Minimum volume percentage compared to average volume to allow signal (100% = average)")
These meticulously engineered filters operate in synergistic confluence, requiring all enabled filters to definitively satisfy their pre-defined conditions before a Buy or Sell signal is generated. This stringent multi-layered validation process drastically minimizes the incidence of false positive signals, thereby significantly enhancing entry precision and overall signal reliability.
Intuitive Visual Architecture & Actionable Intelligence
MFTA provides a demonstrably intuitive and visually rich charting environment, meticulously delineating trend direction and momentum through precisely color-coded plots:
Average Supertrend: Thin line, green/red for uptrend/downtrend, immediate directional bias.
Smoothed Supertrend: Bold line, teal/purple for uptrend/downtrend, cleaner, institutionally robust trend.
Dynamic Trend Fill: Green/red fill between Supertrends quantifies trend strength and momentum.
Adaptive Background Coloring: Light green/red background mirrors Smoothed Supertrend direction, holistic trend perspective.
Precision Buy/Sell Signals: ‘BUY’/‘SELL’ labels appear on chart when trend touch and MTF filter confluence are satisfied, facilitating high-conviction trade action.
MFTA indicator applied to BTCUSDT 4-hour chart, showcasing its effectiveness on higher timeframes. The Smoothed Length parameter is increased to 200 for enhanced smoothness on this timeframe, coupled with 1min RSI and Volume filters for signal refinement. This illustrates the indicator's adaptability across different timeframes and market conditions.
Strategic Applications for Institutional Mandates
MFTA’s sophisticated design provides distinct advantages for advanced trading operations and institutional investment mandates. Key strategic applications include:
High-Probability Trend Identification: Fibonacci-averaged Supertrend with MTF filters robustly identifies high-probability trend continuations and reversals, enhancing alpha generation.
Precision Entry/Exit Signals: Volume and momentum-filtered signals enable institutional-grade precision for optimized risk-adjusted returns.
Algorithmic Trading Integration: Clear signal logic facilitates seamless integration into automated trading systems for scalable strategy deployment.
Multi-Asset/Timeframe Versatility: Adaptable parameters ensure applicability across diverse asset classes and timeframes, catering to varied trading mandates.
Enhanced Risk Management: Superior signal fidelity from MTF filters inherently reduces false signals, supporting robust risk management protocols.
Granular Customization and Parameterized Control
MFTA offers unparalleled customization, empowering users to fine-tune parameters for precise alignment with specific trading styles and market conditions. Key adjustable parameters include:
Fibonacci Factors: Adjust Supertrend sensitivity to volatility regimes.
ATR Length: Control volatility responsiveness in Supertrend calculations.
Smoothing Length: Refine Smoothed Trend line responsiveness and noise reduction.
MTF Filter Parameters: Independently configure timeframes, lookback periods, and thresholds for RSI, MACD, and Volume filters for optimal signal filtering.
Disclaimer
MFTA is meticulously engineered for high-quality trend signals; however, no indicator guarantees profit. Market conditions are unpredictable, and trading involves substantial risk. Rigorous backtesting and forward testing across diverse datasets, alongside a comprehensive understanding of the indicator's logic, are essential before live deployment. Past performance is not indicative of future results. MFTA is for informational and analytical purposes only and is not financial or investment advice.
Forexsom MA Crossover SignalsA Trend-Following Trading Indicator for TradingView
Overview
This indicator plots two moving averages (MA) on your chart and generates visual signals when they cross, helping traders identify potential trend reversals. It is designed to be simple yet effective for both beginners and experienced traders.
Key Features
✅ Dual Moving Averages – Plots a Fast MA (default: 9-period) and a Slow MA (default: 21-period)
✅ Customizable MA Types – Choose between EMA (Exponential Moving Average) or SMA (Simple Moving Average)
✅ Clear Buy/Sell Signals – Displays "BUY" (green label) when the Fast MA crosses above the Slow MA and "SELL" (red label) when it crosses below
✅ Alerts – Get notified when new signals appear (compatible with TradingView alerts)
✅ Clean Visuals – Easy-to-read moving averages with adjustable colors
How It Works
Bullish Signal (BUY) → Fast MA crosses above Slow MA (suggests uptrend)
Bearish Signal (SELL) → Fast MA crosses below Slow MA (suggests downtrend)
Best Used For
✔ Trend-following strategies (swing trading, day trading)
✔ Confirming trend reversals
✔ Filtering trade entries in combination with other indicators
Customization Options
Adjust Fast & Slow MA lengths
Switch between EMA or SMA for smoother or more responsive signals
Why Use This Indicator?
Simple & Effective – No clutter, just clear signals
Works on All Timeframes – From scalping (1M, 5M) to long-term trading (4H, Daily)
Alerts for Real-Time Trading – Never miss a signal
Touch HMA + ATR Band Bands Alert (NTY88)🔔 Precision Alerts | No Repainting | ATR-Based Touch Detection | HMA Trend Coloring
This script is a clean and powerful tool designed to help you catch precise market reversals using ATR Band touches combined with trend-following logic.
📌 How It Works
A custom Hull Moving Average (HMA) is used to track the trend.
Two dynamic ATR-based bands are drawn above and below the HMA.
A signal is generated when the closing price touches the upper or lower ATR band within a small tolerance zone.
✅ Key Features
🔁 Alternating Signals: Only one Buy → then one Sell → then Buy again. No signal spam.
🟢🔴 Color-Changing HMA Line: Green = HMA rising | Red = HMA falling
📏 Price Tolerance Input: Define how close the candle must be to the ATR band to trigger a signal.
🔔 Real-Time Alerts: Easily set alerts for Buy and Sell signals — works in live markets.
🚫 No Repainting: All signals are confirmed at candle close and will not change afterward.
🎯 When to Use
Great for trend reversals, scalping zones, or identifying potential exhaustion points.
Works well on any timeframe or market (crypto, stocks, forex).
💬 Pro Tip:
Combine this with RSI, Volume, or ADX filters to build a complete confluence system.
📈 Built for traders who love clean logic, precision entries, and visual clarity.
NeoTrend AI- Advanced Trading SignalsNeoTrend AI – Advanced Trading Signals
Overview
NeoTrend AI is an advanced trading signal indicator that uniquely integrates a kernel-based predictive model with adaptive volatility analysis. By processing historical price data through a Gaussian kernel matrix, NeoTrend AI produces a statistically informed predicted price. This prediction is then used to generate dynamic volatility bands that serve as adaptive support and resistance levels, leading to clear BUY and SELL signals.
Originality and Usefulness
Innovative Mashup: NeoTrend AI isn’t a mere combination of common indicators; it fuses a novel kernel-based forecasting method with volatility analysis. This creates a tool that not only tracks trends but also identifies key market zones with enhanced precision.
Actionable Insights: The indicator’s design helps traders understand both the underlying trend and the market’s volatility, providing a robust framework for making informed trading decisions.
Customizable Approach: With user-adjustable settings for lookback periods, prediction offsets, smoothness factors, and volatility multipliers, NeoTrend AI adapts to various markets and trading styles.
Omissions and Realistic Claims
Transparent Methodology: NeoTrend AI’s signals are generated solely from historical data analysis using well-established mathematical techniques. There are no unrealistic promises—past performance does not guarantee future results.
No Unsubstantiated Claims: All performance metrics and signal accuracy are clearly derived from the underlying methodology. This script is designed to provide useful insights rather than definitive trading outcomes.
Strategy Results
Kernel Forecasting:
The script builds a Gaussian kernel matrix over a chosen lookback period, smoothing historical price data and generating a predictive price that adjusts dynamically.
Adaptive Volatility Bands:
A volatility band is calculated based on the difference between the actual price and the predicted price, scaled by a user-defined multiplier. These bands change in real time, acting as dynamic support and resistance levels.
Signal Generation:
BUY Signal: Issued when the current price moves above the upper volatility band and the predicted price is trending upward.
SELL Signal: Issued when the price falls below the lower volatility band while the predicted price is trending downward.
Visual Examples
Buy and sell signals are generated, as clearly shown on the chart
Usage Tips
Parameter Customization: Adjust the lookback period, smoothness factor, and volatility multiplier to fit your trading timeframe and market conditions.
Combine with Other Tools: Use NeoTrend AI alongside additional technical indicators and robust risk management strategies for best results.
Backtest Thoroughly: Always perform comprehensive backtesting to understand how the indicator behaves under different market scenarios.
Final Remarks
NeoTrend AI is built to offer traders an original, data-driven insight into market trends without resorting to exaggerated or misleading claims. Its design emphasizes both innovation and practicality, ensuring that you receive actionable signals based on sound statistical methods.
Supertrend and Fast and Slow EMA StrategyThis strategy combines Exponential Moving Averages (EMAs) and Average True Range (ATR) to create a simple, yet effective, trend-following approach. The strategy filters out fake or sideways signals by incorporating the ATR as a volatility filter, ensuring that trades are only taken during trending conditions. The key idea is to buy when the short-term trend (Fast EMA) aligns with the long-term trend (Slow EMA), and to avoid trades during low volatility periods.
How It Works:
EMA Crossover:
1). Buy Signal: When the Fast EMA (shorter-term, e.g., 20-period) crosses above the Slow EMA (longer-term, e.g., 50-period), this indicates a potential uptrend.
2). Sell Signal: When the Fast EMA crosses below the Slow EMA, this indicates a potential downtrend.
ATR Filter:
1). The ATR (Average True Range) is used to measure market volatility.
2). Trending Market: If the ATR is above a certain threshold, it indicates high volatility and a trending market. Only when ATR is above the threshold will the strategy generate buy/sell signals.
3). Sideways Market: If ATR is low (sideways or choppy market), the strategy will suppress signals to avoid entering during non-trending conditions.
When to Buy:
1). Condition 1: The Fast EMA crosses above the Slow EMA.
2). Condition 2: The ATR is above the defined threshold, indicating that the market is trending (not sideways or choppy).
When to Sell:
1). Condition 1: The Fast EMA crosses below the Slow EMA.
2). Condition 2: The ATR is above the defined threshold, confirming that the market is in a downtrend.
When Not to Enter the Trade:
1). Sideways Market: If the ATR is below the threshold, signaling low volatility and sideways or choppy market conditions, the strategy will not trigger any buy or sell signals.
2). False Crossovers: In low volatility conditions, price action tends to be noisy, which could lead to false signals. Therefore, avoiding trades during these periods reduces the risk of false breakouts.
Additional Factors to Consider Adding:
=> RSI (Relative Strength Index): Adding an RSI filter can help confirm overbought or oversold conditions to avoid buying into overextended moves or selling too low.
1). RSI Buy Filter: Only take buy signals when RSI is below 70 (avoiding overbought conditions).
2). RSI Sell Filter: Only take sell signals when RSI is above 30 (avoiding oversold conditions).
=> MACD (Moving Average Convergence Divergence): Using MACD can help validate the strength of the trend.
1). Buy when the MACD histogram is above the zero line and the Fast EMA crosses above the Slow EMA.
2). Sell when the MACD histogram is below the zero line and the Fast EMA crosses below the Slow EMA.
=> Support/Resistance Levels: Adding support and resistance levels can help you understand market structure and decide whether to enter or exit a trade.
1). Buy when price breaks above a significant resistance level (after a valid buy signal).
2). Sell when price breaks below a major support level (after a valid sell signal).
=> Volume: Consider adding a volume filter to ensure that buy/sell signals are supported by strong market participation. You could only take signals if the volume is above the moving average of volume over a certain period.
=> Trailing Stop Loss: Instead of a fixed stop loss, use a trailing stop based on a percentage or ATR to lock in profits as the trade moves in your favor.
=> Exit Signals: Besides the EMA crossover, consider adding Take Profit or Stop Loss levels, or even using a secondary indicator like RSI to signal an overbought/oversold condition and exit the trade.
Example Usage:
=> Buy Example:
1). Fast EMA (20-period) crosses above the Slow EMA (50-period).
2). The ATR is above the threshold, confirming that the market is trending.
3). Optionally, if RSI is below 70, the buy signal is further confirmed as not being overbought.
=> Sell Example:
1). Fast EMA (20-period) crosses below the Slow EMA (50-period).
2). The ATR is above the threshold, confirming that the market is trending.
3). Optionally, if RSI is above 30, the sell signal is further confirmed as not being oversold.
Conclusion:
This strategy helps to identify trending markets and filters out sideways or choppy market conditions. By using Fast and Slow EMAs combined with the ATR volatility filter, it provides a reliable approach to catching trending moves while avoiding false signals during low-volatility, sideways markets.
Flux Charts - SFX Screener💎 GENERAL OVERVIEW
The SFX Screener by Flux Charts is a multi-timeframe market scanner that extracts and visually organizes key conditions detected by the SFX Algo indicator across multiple assets in real-time. It does not perform independent analysis or generate new signals—instead, it pulls data directly from the SFX Algo’s calculations to ensure full alignment across different timeframes and tickers.
The SFX Algo is a multi-factor trading indicator that integrates trend analysis, signal generation, market overlays, and take-profit/stop-loss levels into a single system. It evaluates multiple trend components, including EMA direction, momentum shifts, and volatility cycles, to determine market conditions. Signal generation is based on an Adjusted Weighted Majority Algorithm, filtering out weaker signals by prioritizing the most reliable market indicators. Market overlays, such as Volatility Bands and the Retracement Wave, provide dynamic support, resistance, exit points, and entry points. Its adaptable structure allows traders to customize settings based on strategy preferences, making it effective for scalping, swing trading, and long-term trend analysis.
The SFX Screener’s purpose is to give traders a dashboard view of these SFX Algo signals across multiple tickers and timeframes in real-time.
📌 HOW DOES IT WORK ?
The SFX Algo indicator employs an Adjusted Weighted Majority algorithm to generate "buy" and "sell" signals. It evaluates multiple market indicators ("experts"), including momentum, ATR trends, and EMA trends, and assigns weights based on their recent performance. The "Time Weighting" setting allows users to balance between using more historical data or prioritizing recent trends. Unlike traditional weighted majority methods, SFX also dynamically penalizes larger losses. Signals are confirmed based on the consensus of the most successful indicators within the selected time period, filtering out weaker signals during underperforming phases.
The SFX Screener extracts these calculated outputs and visually organizes them into a real-time dashboard. Each signal, status, and volatility condition displayed in the screener is a direct output from the SFX Algo indicator.
🚩 UNIQUENESS
Unlike traditional screeners that rely on preset filters or static conditions, the SFX Screener dynamically updates its dashboard based on live outputs from the SFX Algo’s adaptive algorithm.
Traditional Screeners → Use predefined filters like “price above EMA” or “RSI overbought.” They do not adjust to market dynamics.
SFX Screener → Displays outputs directly from an adaptive algorithm that continuously evaluates trends, volatility, and momentum changes.
The SFX Screener can show SFX Algo's status on 8 different tickers on different timeframes. Key factors that make it unique include:
✅ Real-time sync with SFX Algo → Displays live conditions, not static filters.
✅ Comprehensive Dashboard – This screener provides a complete and customizable dashboard designed to enhance traders' decision-making by consolidating crucial SFX Algo insights into one user-friendly interface.
✅ Multi-Ticker & Multi-Timeframe Analysis – With support for up to 8 tickers and timeframes, traders can effortlessly analyze the bigger market picture, identifying trends and opportunities across different assets and timeframes.
By combining multiple analytical elements in a single view, this screener empowers traders with the insights needed to navigate the market more effectively.
🎯 SFX SCREENER FEATURES:
SFX Algo Signals : This tool can detect SFX Algo signals across different tickers & timeframes.
Volatility Bands : Detection of Volatility Bands Status & Retests.
Retracement Wave : Detection of Retracement Wave Status & Retests.
Highly Configurable : Offers multiple parameters for fine-tuning detection settings.
Up to 8 Tickers : Allows traders to analyze multiple tickers & timeframes simultaneously for enhanced accuracy.
📊 SFX SCREENER DATA BREAKDOWN
Signal ->
Buy -> The latest signal is a buy signal.
Sell -> The latest signal is a sell signal.
The rating of the signal is shown after the signal type.
Δ⭐ ->
Shows the rating change (delta) after the signal is triggered. Positive values mean that the rating is increased after the signal is given, negative values mean that it's decreased.
Status ->
Displays the amount of time passed after the signal is given.
TP Targets ->
Shows the Take-Profit targets of the signal, if a target was achieved, there is a ✅ symbol near it and the next target it displayed.
V. Bands ->
The Volatility Bands dynamically adjust to market conditions, expanding during high volatility and contracting during low volatility. When the volatility bands are tight, or the upper and lower bands are close to each other, the market is not volatile. During periods of low volatility, it’s common for price to consolidate or move sideways. An early indication of a large price move can occur when the bands widen or open up after being tight. When the volatility bands are wide, it reflects a period of increased volatility, typically during strong price trends or after a breakout. The volatility bands can also act as support and resistance areas. The upper band acts as resistance while the lower band acts as support. These mark out good areas for potential reversals. Breakouts can also occur when price moves beyond the bands, signaling a potential trend in the breakout direction.
Outside -> The price is currently outside of the Volatility Bands.
Inside | Upper -> The price is currently inside the Upper Volatility Band.
Inside | Lower -> The price is currently inside the Lower Volatility Band.
R. Wave ->
The Retracement Wave is used to identify entry points during pullbacks in trending markets. It can also be used to find exit points for open trades. The wave is bullish when price is above it and bearish when the price is below it. The retracement wave can be used as an area to enter during a pullback in a trending market. The wave can also be helpful for managing risk and closing out positions.
Outside | Bullish -> The Retracement Wave is currently Bullish, and the price is outside of it.
Outside | Bearish -> The Retracement Wave is currently Bearish, and the price is outside of it.
Inside | Bullish -> The Retracement Wave is currently Bullish, and the price is inside of it.
Inside | Bearish -> The Retracement Wave is currently Bearish, and the price is inside of it.
Profit & Loss (P&L) ->
Shows the amount of profit or loss the position is currently in. All values are shown in terms of percentage, and positive values mean the position is in profit while negative values mean that the position is in loss.
⚠ Timeframe Restriction : The selected timeframes for analysis cannot be lower than the chart’s current timeframe to ensure proper data alignment.
⏰ ALERTS
This screener supports alerts, so you never miss a key market move. You can choose to receive alerts when a buy or sell signal is given, helping you spot potential trading opportunities. Additionally, you can enable alerts for take-profit or stop-loss levels, which notify you when the price achieves those levels. The alerts will work for each enabled ticker in the settings. You can also toggle webhook format for alerts, and choose to include ticker metadata in it.
⚙️ SETTINGS
1. Algorithm Settings
Sensitivity: The sensitivity setting is a key parameter that influences the frequency of signals the SFX Algo generates. By adjusting this parameter, you can control the frequency of signals produced by the algorithm. Using a lower sensitivity setting generates more frequent signals that are highly responsive to minor price fluctuations. Using a higher sensitivity setting reduces the frequency of signals, focusing on more significant price movements and filtering out minor fluctuations.
Signal Strength: The Signal Strength setting filters signals based on their quality, allowing traders to focus on the most reliable opportunities. This feature helps traders balance the quantity and reliability of the algorithm’s signals to suit their trading strategy. Using a lower signal strength will display more signals, including those with lower signal ratings, for broader market coverage. Using a higher signal strength will display fewer signals by prioritizing those with higher signal ratings, reducing market noise.
Time Weighting: The Time Weighting setting in the SFX Algo determines how historical market data is analyzed to generate signals.
a) Recent Trends
Focuses on the most recent movements for short-term analysis. This setting is good for scalpers and intraday traders who need to react quickly to market changes.
b) Mixed Trends
Balances recent and historical price movements for a comprehensive market view. This setting is well-suited for swing traders and those who want to capture medium-term opportunities by combining the benefits of short-term responsiveness with the reliability of long-term trends.
c) Long-term Trends
Relies on extended historical market data to identify broader market trends, making it an excellent choice for traders focused on long-term strategies.
Minimum Star Rating : The Minimum Star Rating setting allows you to filter signals based on their strength, showing only those that meet or exceed your chosen threshold. For instance, setting the minimum star rating to 3 ensures you only receive signals with a rating of 3 stars or higher.
2. Take Profit / Stop Loss Methods
Key Levels
The Key Levels method uses pivot points to set take profit and stop-loss levels. The TP and SL levels are shown when a new signal is generated.
Volatility Bands
This TP/SL method uses the Volatility Bands overlay to set dynamic TP and SL levels. These levels are not predetermined so they will not be shown in advance when a signal is generated.
Signal Rating
Sets take profit and stop-loss levels based on changes in a signal's rating strength. These levels are not predetermined so they will not be shown in advance when a signal is generated.
Auto Stop-Loss
The auto method can only be applied to the SL. The auto method allows the algorithm to detect SL automatically when a momentum shift is detected. You can adjust the risk tolerance of the Auto SL by adjusting the ‘Auto Risk Tolerance’ setting. You can choose between Low, Medium, and High. A high-risk tolerance will result in stop losses being triggered less often.
3. Tickers
You can set, then enable or disable up to 8 tickers in this section to get informed about their latest SFX Algo signal.
‼️ Important Notes
TradingView has limitations when running advanced screeners, resulting in the following restrictions:
Computation Errors:
The computation of using MTF features and viewing several tickers is very intensive on TradingView. This can sometimes cause calculation timeouts. When this occurs simply force the recalculation by modifying one indicator’s settings or by removing the indicator and adding it to your chart again.
Inconsistencies:
You may notice inconsistencies when viewing the screener on a chart with a specific symbol because screener tickers originate from different markets. Since the cryptocurrency market operates 24/7, while stock markets have defined opening and closing hours, the screener may return varying information depending on whether you're currently viewing a cryptocurrency, stock, or currency pair.
Smart Adaptive Signal SystemSmart Adaptive Signal System
Description: The Smart Adaptive Signal System is a sophisticated indicator that generates intelligent buy/sell signals by dynamically adapting to market conditions. It predicts target prices based on momentum and volatility, providing more accurate and reliable trading opportunities.
How It Works:
Dynamic Signal Generation: The system predicts target prices by considering factors such as volatility and momentum. This allows it to react instantly to trend changes and market fluctuations.
Adaptive Thresholds: Buy and sell signals are triggered with adaptive thresholds, adjusting according to market volatility. This ensures flexibility in the face of sudden market changes.
Trend-Based Reset: Users can choose to reset threshold values based on a time interval or trend change. This feature helps the system re-adapt to current market conditions for greater accuracy.
Target Price Prediction: Target prices are calculated using momentum and volatility, helping the system predict future price movements.
How to Use:
Buy/Sell Signals: The indicator generates buy and sell signals based on market conditions. Look for a "down arrow" for a buy signal and an "up arrow" for a sell signal on the chart.
Target Price Lines: Along with buy and sell signals, the system draws target price lines. This helps you visualize potential future price levels.
Flexible Settings: Users can customize analysis periods, minimum change percentages, and other parameters to fit their needs.
Features:
Dynamic buy and sell signals
Target price predictions
Volatility and momentum-based analysis
User-friendly and flexible settings
Trend-based adaptive resetting
Alerts: The Smart Adaptive Signal System responds quickly to sudden market changes, but always use it in conjunction with other indicators like support and resistance levels. Signal accuracy may vary depending on market conditions.
