Neural Network Buy and Sell SignalsTrend Architect Suite Lite - Neural Network Buy and Sell Signals
Advanced AI-Powered Signal Scoring
This indicator provides neural network market analysis on buy and sell signals designed for scalpers and day traders who use 30s to 5m charts. Signals are generated based on an ATR system and then filtered and scored using an advanced AI-driven system.
Features
Neural Network Signal Engine
5-Layer Deep Learning analysis combining market structure, momentum, and market state detection
AI-based Letter Grade Scoring (A+ through F) for instant signal quality assessment
Normalized Input Processing with Z-score standardization and outlier clipping
Real-time Signal Evaluation using 5 market dimensions
Advanced Candle Types
Standard Candlesticks - Raw price action
Heikin Ashi - Trend smoothing and noise reduction
Linear Regression - Mathematical trend visualization
Independent Signal vs Display - Calculate signals on one type, display another
Key Settings
Signal Configuration
- Signal Trigger Sensitivity (Default: 1.7) - Controls signal frequency vs quality
- Stop Loss ATR Multiplier (Default: 1.5) - Risk management sizing
- Signal Candle Type (Default: Candlesticks) - Data source for signal calculations
- Display Candle Type (Default: Linear Regression) - Visual candle display
Display Options
- Signal Distance (Default: 1.35 ATR) - Label positioning from price
- Label Size (Default: Medium) - Optimal readability
Trading Applications
Scalping
- Fast pace signal detection with quality filtering
- ATR-based stop management prevents signal overlap
- Neural network attempts to reduces false signals in choppy markets
Day Trading
- Multi-timeframe compatible with adaptation settings
- Clear trend visualization with Linear Regression candles
- Support/resistance integration for better entries/exits
Signal Filtering
- Use A+/A grades for highest probability setups
- B grades for confirmation in trending markets
- C-F grades help identify market uncertainty
Why Choose Trend Architect Lite?
No Lag - Real-time neural network processing
No Repainting - Signals appear and stay fixed
Clean Charts - Focus on price action, not indicators
Smart Filtering - AI reduces noise and false signals
Flexible and customizable - Works across all timeframes and instruments
Compatibility
- All Timeframes - 1m to Monthly charts
- All Instruments - Forex, Crypto, Stocks, Futures, Indices
Risk Disclaimer
This indicator is a tool for technical analysis and should not be used as the sole basis for trading decisions. Past performance does not guarantee future results. Always use proper risk management and never risk more than you can afford to lose.
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Adaptive Market Profile – Auto Detect & Dynamic Activity ZonesAdaptive Market Profile is an advanced indicator that automatically detects and displays the most relevant trend channel and market profile for any asset and timeframe. Unlike standard regression channel tools, this script uses a fully adaptive approach to identify the optimal period, providing you with the channel that best fits the current market dynamics. The calculation is based on maximizing the statistical significance of the trend using Pearson’s R coefficient, ensuring that the most relevant trend is always selected.
Within the selected channel, the indicator generates a dynamic market profile, breaking the price range into configurable zones and displaying the most active areas based on volume or the number of touches. This allows you to instantly identify high-activity price levels and potential support/resistance zones. The “most active lines” are plotted in real-time and always stay parallel to the channel, dynamically adapting to market structure.
Key features:
- Automatic detection of the optimal regression period: The script scans a wide range of lengths and selects the channel that statistically represents the strongest trend.
- Dynamic market profile: Visualizes the distribution of volume or price touches inside the trend channel, with customizable section count.
- Most active zones: Highlights the most traded or touched price levels as dynamic, parallel lines for precise support/resistance reading.
- Manual override: Optionally, users can select their own channel period for full control.
- Supports both linear and logarithmic charts: Simple toggle to match your chart scaling.
Use cases:
- Trend following and channel trading strategies.
- Quick identification of dynamic support/resistance and liquidity zones.
- Objective selection of the most statistically significant trend channel, without manual guesswork.
- Suitable for all assets and timeframes (crypto, stocks, forex, futures).
Originality:
This script goes beyond basic regression channels by integrating dynamic profile analysis and fully adaptive period detection, offering a comprehensive tool for modern technical analysts. The combination of trend detection, market profile, and activity zone mapping is unique and not available in TradingView built-ins.
Instructions:
Add Adaptive Market Profile to your chart. By default, the script automatically detects the optimal channel period and displays the corresponding regression channel with dynamic profile and activity zones. If you prefer manual control, disable “Auto trend channel period” and set your preferred period. Adjust profile settings as needed for your asset and timeframe.
For questions, suggestions, or further customization, contact Julien Eche (@Julien_Eche) directly on TradingView.
Trend Strength Index [Alpha Extract]The Trend Strength Index leverages Volume Weighted Moving Average (VWMA) and Average True Range (ATR) to quantify trend intensity in cryptocurrency markets, particularly Bitcoin. The combination of VWMA and ATR is particularly powerful because VWMA provides a more accurate representation of the market's true average price by weighting periods of higher trading volume more heavily—capturing genuine momentum driven by increased participation rather than treating all price action equally, which is crucial in volatile assets like Bitcoin where volume spikes often signal institutional interest or market shifts.
Meanwhile, ATR normalizes this measurement for volatility, ensuring that trend strength readings remain comparable across different market conditions; without ATR's adjustment, raw price deviations from the mean could appear artificially inflated during high-volatility periods (like during news events or liquidations) or understated in low-volatility sideways markets, leading to misleading signals. Together, they create a volatility-adjusted, volume-sensitive metric that reliably distinguishes between meaningful trend developments and noise.
This indicator measures the normalized distance between price and its volume-weighted mean, providing a clear visualization of trend strength while accounting for market volatility. It helps traders identify periods of strong directional movement versus consolidation, with color-coded gradients for intuitive interpretation.
🔶 CALCULATION
The indicator processes price data through these analytical stages:
Volume Weighted Moving Average: Computes a smoothed average weighted by trading volume
Volatility Normalization: Uses ATR to account for market volatility
Distance Measurement: Calculates absolute deviation between current price and VWMA
Strength Normalization: Divides price deviation by ATR for a volatility-adjusted metric
Formula:
VWMA = Volume-Weighted Moving Average of Close over specified length
ATR = Average True Range over specified length
Price Distance = |Close - VWMA|
Trend Strength = Price Distance / ATR
🔶 DETAILS Visual Features:
VWMA Line: Blue line overlay on the price chart representing the volume-weighted mean
Trend Strength Area: Histogram-style area plot with dynamic color gradient (red for weak trends, transitioning through orange and yellow to green for strong trends)
Threshold Line: Horizontal red line at the customizable Trend Enter level
Background Highlight: Subtle green background when trend strength exceeds the enter threshold for strong trend visualization
Alert System: Triggers notifications for strong trend detection
Interpretation:
0-Weak (Red): Minimal trend strength, potential consolidation or ranging market
Mid-Range (Orange/Yellow): Building momentum, watch for breakout potential
At/Above Enter Threshold (Green): Strong trend conditions, potential for continued directional moves
Threshold Crossing: Trend strength crossing above the enter level signals increasing conviction in the current direction
Color Transitions: Gradual shifts from warm (red/orange) to cool (green) tones indicate strengthening trends
🔶 EXAMPLES
Strong Trend Entry: When trend strength crosses above the enter threshold (e.g., 1.2), it identifies the onset of a powerful move where price deviates significantly from the mean.
Example: During a rally, trend strength rising from yellow (around 1.0) to green (1.2+) often precedes sustained upward momentum, providing entry opportunities for trend followers.
Consolidation Detection: Low trend strength values in red shades (below 0.5) highlight periods of low volatility and mean reversion potential.
Example: After a sharp sell-off, persistent red values signal a likely sideways phase, allowing traders to avoid whipsaws and wait for orange/yellow transitions as a precursor to recovery.
Volatility-Adjusted Pullbacks: In volatile markets, the ATR component ensures trend strength remains accurate; a dip back to yellow from green during minor corrections can indicate healthy pullbacks within a strong trend.
Example: Trend strength briefly falling to yellow levels (e.g., 0.8-1.1) after hitting green provides profit-taking signals without invalidating the overall bullish bias if the VWMA holds as support.
Threshold Alert Integration: The alert condition combines strength value with the enter threshold for timely notifications.
Example: Receiving a "Strong Trend Detected" alert when the area plot turns green helps confirm Bitcoin's breakout from consolidation, aligning with increased volume for higher-probability trades.
🔶 SETTINGS
Customization Options:
Lengths: VWMA length (default 14), ATR length (default 14)
Thresholds: Trend enter (default 1.2, step 0.1), trend exit (default 1.15, for potential future signal enhancements)
Visuals: Automatic color scaling with red at 0, transitioning to green at/above enter threshold
Alert Conditions: Strong trend detection (when strength > enter)
The Trend Strength Index equips traders with a robust, easy-to-interpret tool for gauging trend intensity in volatile markets like Bitcoin. By normalizing price deviations against volatility, it delivers reliable signals for identifying high-momentum opportunities while the gradient coloring and alerts facilitate quick assessments in both trending and choppy conditions.
Time-Price Velocity [QuantAlgo]🟢 Overview
The Time-Price Velocity indicator uses advanced velocity-based analysis to measure the rate of price change normalized against typical market movement, creating a dynamic momentum oscillator that identifies market acceleration patterns and momentum shifts. Unlike traditional momentum indicators that focus solely on price change magnitude, this indicator incorporates time-weighted displacement calculations and ATR normalization to create a sophisticated velocity measurement system that adapts to varying market volatility conditions.
This indicator displays a velocity signal line that oscillates around zero, with positive values indicating upward price velocity and negative values indicating downward price velocity. The signal incorporates acceleration background columns and statistical normalization to help traders identify momentum shifts and potential reversal or continuation opportunities across different timeframes and asset classes.
🟢 How It Works
The indicator's key insight lies in its time-price velocity calculation system, where velocity is measured using the fundamental physics formula:
velocity = priceChange / timeWeight
The system normalizes this raw velocity against typical price movement using Average True Range (ATR) to create market-adjusted readings:
normalizedVelocity = typicalMove > 0 ? velocity / typicalMove : 0
where "typicalMove = ta.atr(lookback)" provides the baseline for normal price movement over the specified lookback period.
The Time-Price Velocity indicator calculation combines multiple sophisticated components. First, it calculates acceleration as the change in velocity over time:
acceleration = normalizedVelocity - normalizedVelocity
Then, the signal generation applies EMA smoothing to reduce noise while preserving responsiveness:
signal = ta.ema(normalizedVelocity, smooth)
This creates a velocity-based momentum indicator that combines price displacement analysis with statistical normalization, providing traders with both directional signals and acceleration insights for enhanced market timing.
🟢 How to Use
1. Signal Interpretation and Threshold Zones
Positive Values (Above Zero): Time-price velocity indicating bullish momentum with upward price displacement relative to normalized baseline
Negative Values (Below Zero): Time-price velocity indicating bearish momentum with downward price displacement relative to normalized baseline
Zero Line Crosses: Velocity transitions between bullish and bearish regimes, indicating potential trend changes or momentum shifts
Upper Threshold Zone: Area above positive threshold (default 1.0) indicating strong bullish velocity and potential reversal point
Lower Threshold Zone: Area below negative threshold (default -1.0) indicating strong bearish velocity and potential reversal point
2. Acceleration Analysis and Visual Features
Acceleration Columns: Background histogram showing velocity acceleration (the rate of change of velocity), with green columns indicating accelerating velocity and red columns indicating decelerating velocity. The interpretation depends on trend context: red columns in downtrends indicate strengthening bearish momentum, while red columns in uptrends indicate weakening bullish momentum
Acceleration Column Height: The height of each column represents the magnitude of acceleration, with taller columns indicating stronger acceleration or deceleration forces
Bar Coloring: Optional price bar coloring matches velocity direction for immediate visual trend confirmation
Info Table: Real-time display of current velocity and acceleration values with trend arrows and change indicators
3. Additional Features:
Confirmed vs Live Data: Toggle between confirmed (closed) bar analysis for stable signals or current bar inclusion for real-time updates
Multi-timeframe Adaptability: Velocity normalization ensures consistent readings across different chart timeframes and asset volatilities
Alert System: Built-in alerts for threshold crossovers and direction changes
🟢 Examples with Preconfigured Settings
Default : Balanced configuration suitable for most timeframes and general trading applications, providing optimal balance between sensitivity and noise filtering for medium-term analysis.
Scalping : High sensitivity setup with shorter lookback period and reduced smoothing for ultra-short-term trades on 1-15 minute charts, optimized for capturing rapid momentum shifts and frequent trading opportunities.
Swing Trading : Extended lookback period with enhanced smoothing and higher threshold for multi-day positions, designed to filter market noise while capturing significant momentum moves on 1-4 hour and daily timeframes.
BERLIN-MAX 1V.5BERLIN-MAX 1V.5 is a comprehensive trading indicator designed for TradingView that combines multiple advanced strategies and tools. It integrates EMA crossover signals, UT Bot logic with ATR-based trailing stops, customizable stop-loss and target multipliers per timeframe, Hull Moving Averages with color-coded trends, linear regression channels for support and resistance, and a multi-timeframe RSI and volume signal table. This script aims to provide clear entry and exit signals for scalping and swing trading, enhancing decision-making across different market conditions.
5-Min Scalping Indicator (EMA + VWAP)5-Min Scalping Indicator (EMA + VWAP)
Strategy Logic (for 5-min timeframe):
Long Entry: Price above VWAP, EMA Fast crosses above EMA Slow.
Short Entry: Price below VWAP, EMA Fast crosses below EMA Slow.
Exit: On opposite EMA cross or trailing stop (optional for strategy).
How to Use:
Apply this on a 5-minute chart.
Look for buy signals when:
Fast EMA crosses above Slow EMA.
Price is above VWAP.
Look for sell signals when:
Fast EMA crosses below Slow EMA.
Price is below VWAP.
Combine with price action or volume confirmation for best results.
Money Moves Breakout PRO – By Money Moves//@version=5
indicator("Money Moves Breakout PRO – By Money Moves", overlay=true, max_boxes_count=2)
// ------ USER SETTINGS ------
sessionStartHour = input.int(11, "London Start Hour (IST)", minval=0, maxval=23)
sessionStartMin = input.int(30, "London Start Min (IST)", minval=0, maxval=59)
boxMinutes = input.int(15, "Box Candle Minutes", minval=1, maxval=5000)
showBox = input(true, "Show Breakout Box")
emaLength = input.int(20, "EMA Length")
useVolumeConfirm = input(true, "Use Volume Confirmation")
ist_offset = 5.5 // IST = UTC+5:30
barTime = time + int(ist_offset * 3600000)
boxStartSec = sessionStartHour * 3600 + sessionStartMin * 60
boxEndSec = boxStartSec + boxMinutes * 60
currentSecOfDay = ((barTime % 86400000) / 1000)
// ----- LONDON BOX -----
isBox = currentSecOfDay >= boxStartSec and currentSecOfDay < boxEndSec
isBoxPrev = currentSecOfDay >= boxStartSec and currentSecOfDay < boxEndSec
boxStartBar = not isBoxPrev and isBox
boxEndBar = isBoxPrev and not isBox
var float boxHigh = na
var float boxLow = na
var int boxBarIdx = na
var box sessionBox = na
if boxStartBar
boxHigh := high
boxLow := low
boxBarIdx := bar_index
if isBox and not na(boxHigh)
boxHigh := math.max(boxHigh, high)
boxLow := math.min(boxLow, low)
if boxEndBar and showBox
sessionBox := box.new(left=boxBarIdx, right=bar_index, top=boxHigh, bottom=boxLow, border_color=color.rgb(255, 226, 59), bgcolor=color.new(#ebff3b, 66))
// --- EMA & Volume ---
emaValue = ta.ema(close, emaLength)
avgVol = ta.sma(volume, 1000)
volCond = useVolumeConfirm ? (volume > avgVol) : true
// --- Only first breakout + Confirmation ---
var bool brokenHigh = false
var bool brokenLow = false
firstBreakUp = false
firstBreakDn = false
if boxEndBar
brokenHigh := false
brokenLow := false
// Upar ka breakout: close boxHigh se upar, EMA 20 ke upar, volume confirmation
if not isBox and not isBoxPrev and not na(boxHigh ) and not brokenHigh and close > boxHigh and close > emaValue and volCond
firstBreakUp := true
brokenHigh := true
// Niche ka breakout: close boxLow se niche, EMA 20 ke niche, volume confirmation
if not isBox and not isBoxPrev and not na(boxLow ) and not brokenLow and close < boxLow and close < emaValue and volCond
firstBreakDn := true
brokenLow := true
plotshape(firstBreakUp, style=shape.triangleup, location=location.belowbar, color=color.green, size=size.normal, text="BUY")
plotshape(firstBreakDn, style=shape.triangledown, location=location.abovebar, color=color.red, size=size.normal, text="SELL")
// Show EMA on chart for visual trend confirmation
plot(emaValue, color=color.blue, linewidth=2, title="EMA 20")
PSAR LRC [CRT Trader]
SAR (Stop and Reverse) is a technical indicator used in financial markets to track trends and identify potential reversal points.
The indicator plots SAR calculations at three different speeds as dot markers above or below the candlesticks. If all three dots are below, it is considered a bullish signal; if they are above, it is considered a bearish signal.
In addition to the indicator, a Linear Regression Channel has been added. These lines can provide information such as trend direction, support, resistance, and potential breakouts.
Lorentzian Key Support and Resistance Level Detector [mishy]🧮 Lorentzian Key S/R Levels Detector
Advanced Support & Resistance Detection Using Mathematical Clustering
The Problem
Traditional S/R indicators fail because they're either subjective (manual lines), rigid (fixed pivots), or break when price spikes occur. Most importantly, they don't tell you where prices actually spend time, just where they touched briefly.
The Solution: Lorentzian Distance Clustering
This indicator introduces a novel approach by using Lorentzian distance instead of traditional Euclidean distance for clustering. This is groundbreaking for financial data analysis.
Data Points Clustering:
🔬 Why Euclidean Distance Fails in Trading
Traditional K-means uses Euclidean distance:
• Formula: distance = (price_A - price_B)²
• Problem: Squaring amplifies differences exponentially
• Real impact: One 5% price spike has 25x more influence than a 1% move
• Result: Clusters get pulled toward outliers, missing real support/resistance zones
Example scenario:
Prices: ← flash spike
Euclidean: Centroid gets dragged toward 150
Actual S/R zone: Around 100 (where prices actually trade)
⚡ Lorentzian Distance: The Game Changer
Our approach uses Lorentzian distance:
• Formula: distance = log(1 + (price_difference)² / σ²)
• Breakthrough: Logarithmic compression keeps outliers in check
• Real impact: Large moves still matter, but don't dominate
• Result: Clusters focus on where prices actually spend time
Same example with Lorentzian:
Prices: ← flash spike
Lorentzian: Centroid stays near 100 (real trading zone)
Outlier (150): Acknowledged but not dominant
🧠 Adaptive Intelligence
The σ parameter isn't fixed,it's calculated from market disturbance/entropy:
• High volatility: σ increases, making algorithm more tolerant of large moves
• Low volatility: σ decreases, making algorithm more sensitive to small changes
• Self-calibrating: Adapts to any instrument or market condition automatically
Why this matters: Traditional methods treat a 2% move the same whether it's in a calm or volatile market. Lorentzian adapts the sensitivity based on current market behavior.
🎯 Automatic K-Selection (Elbow Method)
Instead of guessing how many S/R levels to draw, the indicator:
• Tests 2-6 clusters and calculates WCSS (tightness measure)
• Finds the "elbow" - where adding more clusters stops helping much
• Uses sharpness calculation to pick the optimal number automatically
Result: Perfect balance between detail and clarity.
How It Works
1. Collect recent closing prices
2. Calculate entropy to adapt to current market volatility
3. Cluster prices using Lorentzian K-means algorithm
4. Auto-select optimal cluster count via statistical analysis
5. Draw levels at cluster centers with deviation bands
📊 Manual K-Selection Guide (Using WCSS & Sharpness Analysis)
When you disable auto-selection, use both WCSS and Sharpness metrics from the analysis table to choose manually:
What WCSS tells you:
• Lower WCSS = tighter clusters = better S/R levels
• Higher WCSS = scattered clusters = weaker levels
What Sharpness tells you:
• Higher positive values = optimal elbow point = best K choice
• Lower/negative values = poor elbow definition = avoid this K
• Measures the "sharpness" of the WCSS curve drop-off
Decision strategy using both metrics:
K=2: WCSS = 150.42 | Sharpness = - | Selected =
K=3: WCSS = 89.15 | Sharpness = 22.04 | Selected = ✓ ← Best choice
K=4: WCSS = 76.23 | Sharpness = 1.89 | Selected =
K=5: WCSS = 73.91 | Sharpness = 1.43 | Selected =
Quick decision rules:
• Pick K with highest positive Sharpness (indicates optimal elbow)
• Confirm with significant WCSS drop (30%+ reduction is good)
• Avoid K values with negative or very low Sharpness (<1.0)
• K=3 above shows: Big WCSS drop (41%) + High Sharpness (22.04) = Perfect choice
Why this works:
The algorithm finds the "elbow" where adding more clusters stops being useful. High Sharpness pinpoints this elbow mathematically, while WCSS confirms the clustering quality.
Elbow Method Visualization:
Traditional clustering problems:
❌ Price spikes distort results
❌ Fixed parameters don't adapt
❌ Manual tuning is subjective
❌ No way to validate choices
Lorentzian solution:
☑️ Outlier-resistant distance metric
☑️ Entropy-based adaptation to volatility
☑️ Automatic optimal K selection
☑️ Statistical validation via WCSS & Sharpness
Features
Visual:
• Color-coded levels (red=highest resistance, green=lowest support)
• Optional deviation bands showing cluster spread
• Strength scores on labels: Each cluster shows a reliability score.
• Higher scores (0.8+) = very strong S/R levels with tight price clustering
• Lower scores (0.6-0.7) = weaker levels, use with caution
• Based on cluster tightness and data point density
• Clean line extensions and labels
Analytics:
• WCSS analysis table showing why K was chosen
• Cluster metrics and statistics
• Real-time entropy monitoring
Control:
• Auto/manual K selection toggle
• Customizable sample size (20-500 bars)
• Show/hide bands and metrics tables
The Result
You get mathematically validated S/R levels that focus on where prices actually cluster, not where they randomly spiked. The algorithm adapts to market conditions and removes guesswork from level selection.
Best for: Traders who want objective, data-driven S/R levels without manual chart analysis.
Credits: This script is for educational purposes and is inspired by the work of @ThinkLogicAI and an amazing mentor @DskyzInvestments . It demonstrates how Lorentzian geometrical concepts can be applied not only in ML classification but also quite elegantly in clustering.
TZtraderTZtrader
This is a TrendZones version with features to set stoploss and targets in short and long positions meant for use in intraday charts. It aims to provide signals for opening and closing long and short positions. In the comments under the TrendZones publication several people expressed a need for features for a short position similar to those for a long position as implemented in TrendZones, some want to use it for scalping, some asked for alerts. When I proposed to create a version for day trading with target lines based on ATR, several people liked the idea.
Full disclosure: I don’t do day trading, because, after I lost a lot of money, I had to promise my wife to stay away from it. I restrict myself to long term investing in stocks which are in uptrend. However I understand what a day trader needs. I gather from my experience that day trading or scalping is an attempt to earn something by opening a position in the morning and close, reopen and close it again during the day with a profit. It is usually done with leveraged instruments like CFD’s, futures, options, and what have you. Opening and closing positions is done within minutes, so the trader needs a quick and efficient way to set proper stoploss and target. TZtrader supports this by showing only three or four numbers on the price bar: The price of the instrument, The logical stop level (gray or green or maroon dots), and the target level (navy). All other numbers are suppressed to prevent mistakes. Also a clear feedback for current settings at the top-center of the pane and an alert feedback at bottom that flashes alerts during the development of the current bar and gives suppression status.
The script
First I made a bare bones version of TrendZones to which I added code for long and short trading setups and a bare setup for no position. The code for the logical stops in long setup had to be reviewed, after which this became the basis for stops in short setup.
Then I added code for 10 alert messages, which was a hassle, because this is the first time I coded alerts and the first time I used an array as a stack to avoid a complicated if-then construction. During testing the array caused a runtime error which I solved by adding ‘array.clear’ to the code, also I discovered that in TradingView separate alerts have to be created for all three setups - short, long and bare. Flipping setups is done in the inputs with a dropdown menu because Pine Script has no function for a clickable button.
One visual with three setups.
The visual has the TrendZones structure: Three near parallel very smooth curves, which border the moderate uptrend (green) and downtrend (orange) zone over and under the curve in the middle, the COG (Center Of Gravity). Where the price breaks out of these curves, strong trend zones show up over and under the curves, respectively strong uptrend (blue) and strong downtrend (red).
Three setups were made clearly different to avoid confusion and to provide oversight in case of multiple trades going on simultaneously which I imagine are monitored in one screen. You have to see which one is long, which short and which have no position. The long setup should not trigger short signals, nor should the short trigger long signals nor the bare setup exclusive long or short signals.
The Long setup is default, shown on the example chart. In this setup the Stoploss suggestions (green, gray and maroon dots) are under the price bars and the target line (navy) at a set distance above the High Border. A zone with a width of 1 ATR is drawn under the Low Border. In this setup 5 specific alerts are provided
The Short setup has the Stoploss suggestions over the price bars, the target line at a set distance under the Low Border. A zone with a width of 1 ATR is drawn above the High Border. This setup also has 5 specific alerts.
The Bare setup has no Stoploss suggestions, no target line and supports 4 alerts, 2 in common with the Long setup and 2 with Short.
The table below gives a summary of scripted alerts:
Setup = Where = When = Purpose
Long, Bare = Green Zone = Bars come from lower zones = Uptrend starts
Long, Bare = Green Zone = Sideways ends in uptrend = Uptrend resumes
Long = COG = First crossing = Uptrend might end warning
Long = Orange Zone = Bars come from higher zones = Uptrend ended take care
Long = Red Zone = Bars come from higher zones = Strong downtrend->close Long
Short, Bare = Orange Zone = Bars come from higher zones = Downtrend starts
Short, Bare = Orange Zone = Sideways ends in downtrend = Downtrend resumes
Short = COG = First crossing = Downtrend might end warning
Short = Green Zone = Bars come from lower zones = Downtrend ended take care
Short = Blue Zone = Bars come from lower zones = Strong uptrend -> close short
You can use script alerts in TradingView by clicking the clock in the sidebar, then ‘create alert’ or plus, as condition you choose ‘Tztrader’ in the dialog box, then the “Any alert() function call” option (the first item in the list). The script lets the valid alert trigger by TradingView after the bar is completed, this can differ from the flashed messages during its formation.
When you create alerts in Tradingview, I advice to do that for each setup, then to make only the alert active which matches the current setup, pause the other ones.
Suppressing false and annoying signals
The script has two ways to suppress such signals, which have to do with the numbers in the alert feedback. The numbers left and right of the message with a colored background, depict the zones in which the previous (left) and current (right) bar move. 1 is the strong downtrend zone (red), 2 the moderate downtrend zone (orange), 3 the sideways zones (gray), 4 the COG (gray), 5 the moderate uptrend zone (green), 6 the strong uptrend zone (blue), 7 something went wrong with assigning a zone (black). In extensive testing the number 7 never occurs, because I catch that error in the code. The idea is that an alert is only triggered if the previous bar was in a different zone. When the bars are in the same zone, no alert is possible. This way all annoying signals are suppressed and long, short and bare get the appropriate alerts.
The third number is a counter. It counts how often the COG is crossed without touching the outer curves. The counter will reset to zero when the upper or lower curve is touched. When the count is 1 you have zone situation 4 and appropriate alerts are flashed. When the count is 2 or higher, a sideways situation (3) is called and while the recrossings are going on, no alerts can be flashed. This suppresses false signals. The ATR zone and curves are brownish-gray where sideways happens(ed). When the channel is narrowed down to just the three curves, some false signals still might occur.
Inputs
“Setup”, default is long, drop down menu provides long, short and bare.
“Target ATR”, default is 2, sets the amount of ATR for the target line. In 1 minute charts 4 seems an appropriate setting, you have to learn by experience which setting works.
“show feedback …” default is on, This creates two feedback labels, a Setup feedback on top of the pane, which shows charted instrument, Setup type, Trend and timeframe of the chart. Background color of Trend feedback is green when it matches the setup, red when mismatches and gray when no match. The alert feedback at the bottom of the pane shows a number, a message and two numbers. The numbers will be explained in the chapter about false and annoying signals below. During formation of the bar, valid alerts are flashed with a blue background, otherwise the message ‘alerts for current bar suppressed’.
Logical Stops
The curves are the logical place to put stops, because, as these are averages of the high and low border of a Donchian channel, they signify the ‘natural’ current highest, lowest and main level in the lookback period that fit the monitored trend setup. A downtrend turns into an uptrend when a breakout of the upper curve occurs. If you are short, that is where you want to close position, so the logical place for the stoploss is the upper curve. Vice versa, when you are long, the logical stop is on the lower curve. The stops show up as green or gray dots on the curves, the green dots signify a nice entry level, the gray stops are there to suggest levels where unrealized profits might be secured, the maroon dots indicate that the trend mismatches the setup.
COG versus other lines
Any line used to identify a trend, be it some MA or some other line, is interpreted the same way: When the bars move above the line there is an uptrend and when below, a downtrend. COG is not different in that sense. If you put such a line in the same chart as TZtrader, you can see situations in which the other line shows uptrend or downtrend earlier than COG, also some other lines, e.g. Hull MA, are very good at showing tops and bottoms, while COG ignores these. On the other hand the other lines are usually a little nervous and let you shake out of position too soon. Just like the other lines, COG gives false signals when it is near horizontal. The advantage of the placement COG is the tolerance for pull backs. This way TZtrader keeps you longer in the trend. Such pull backs are often ‘flags’ which are interpreted in TA as confirming the trend. Tztrader aims to get you in position reasonably soon when a trend begins and out of position as soon as the trend turns against you. The placement of COG is done with a fundamentally different algorithm than other lines as it is not an average of prices, but the middle of two averages of borders of a Donchian channel. This gives the two zones between the curves the same quality as the two zones above and below the middle line of a standard Donchian Channel.
A multi timeframe application.
In this scenario you put a 5 minutes and 1 minute chart with Tztrader side by side. If the 5 minutes shows uptrend, set the 1 minute on long trading and open positions when the trend matches uptrend en close when it mismatches. Don’t open short positions. Once the 5 minute changes to downtrend, set Tztrader in the 1 minute to short trading and open positions when the trend matches downtrend and close when it mismatches.
The idea is that in a long ‘context’, provided by the 5 minutes, the uptrends in the 1 minute will last longer and go further, vice versa for the short ‘context’. This way you do swing trading in the 5 minute in a smart way, maximizing profits.
You can do this with any timeframe pairs with a proportion of around 5:1, 4:1, 6:1, like e.g. 60 minutes and 15 minutes or weeks and days (5 trading days in a week).
Dear day-traders, may this tool be helpful and may your days be blessed.
Take care
Ichimoku Trend CycleIchimoku Trend Cycle
A precision dual-trend system combining Ichimoku-based ATR Supertrends — engineered for clarity, reliability, and smart trend detection.
🔷 What is Ichimoku Trend Cycle?
The Ichimoku Trend Cycle harnesses the power of traditional Ichimoku analysis with modern ATR-based supertrend technology:
Alpha Trend: Primary trend detection using Ichimoku conversion & baseline logic
Beta Trend: Secondary confirmation trend with independent ATR calculations
Dual Confirmation Engine : Both trends must align for signal generation
This powerful combination delivers clean, non-repainting Buy/Sell signals while filtering out market noise and false breakouts.
🔍 How It Works
Blue Alpha + Red Beta Trends Align Bullish → BUY Signal
Both Trends Turn Bearish → SELL Signal
You get ONE signal per trend change — no spam, no noise, just crystal-clear direction changes.
⚙️ Core Features
✅ Ichimoku-Enhanced Supertrends
Traditional Ichimoku conversion/baseline logic powering modern ATR bands.
✅ Dual-Trend Confirmation
Alpha and Beta trends must agree — eliminates false signals.
✅ One Alert Per Trend Shift
Clean entries, zero noise, no repeated signals.
✅ Visual Excellence
Color-coded trend lines with high-contrast BUY/SELL labels.
✅ Fully Customizable
Independent settings for both trend systems plus smoothing options.
🎯 Perfect For
Swing Traders wanting confirmed trend changes
Position Traders seeking major trend shifts
Anyone who values clean charts with sharp decision points
🛠 Settings Breakdown
Alpha Trend Settings: Primary trend with conversion/baseline periods + ATR multiplier
Beta Trend Settings: Secondary confirmation trend with independent parameters
Smoothing MA Settings: Optional MA smoothing with Bollinger Bands support
Alert Settings: Customize signal confirmation periods
Candle Color Settings: Fully customizable trend and candle color schemes
✅ Built-in Smart Alerts — Never miss a trend change again
⚡ Zero-lag Performance — Works flawlessly across all timeframes
📈 Strategy-Ready Code — Professional-grade, non-repainting signals
Transform your trading with the precision of Ichimoku and the reliability of dual-trend confirmation.
DrFx Algo MA💎 (V.3.2)🚀 Introducing DrFx Algo MA💎 (V 3.2) – The All-in-One Trading Assistant!
Turn your charts into a powerhouse of precision and clarity.
🔍 What makes DrFx Algo unique?
✅ Smart Candle Coloring – Instantly visualize market sentiment with vibrant, real-time candle colors:
🟢 Green for bullish trends
🔴 Red for bearish movements
💜 Violet & Rose candles highlight EMA proximity for potential trend shifts
📊 Advanced Trend Detection – Dual EMA overlays (20 & 50) clearly define the market's direction. Blue for uptrend, Red for downtrend. Simple, visual, and effective.
📈 Zero Lag EMA (ZLEMA) – Capture fast movements before the crowd. React quicker to market momentum with less delay than traditional EMAs.
🎯 Built-in RSI Alerts – Automatic triangle markers for overbought and oversold levels. Catch early reversal signals without watching RSI manually.
🔔 Smart Alerts System – Get notified instantly with bullish and bearish triggers, right when it matters.
📉 Support & Resistance Auto-Zones – Automatically plots dynamic levels using pivot detection. No more guessing key price zones.
📋 Customizable Trade Dashboard – Input your entries, SL/TP, and trade type. Stay organized with a clean, modern on-screen table. Fully editable.
🧪 Perfect for:
Trend traders
Momentum scalpers
EMA/RSi strategy followers
Visual learners
💼 Whether you’re a day trader or swing trader, DrFx Algo MA💎 gives you the clarity, speed, and edge you need in the market.
💬 Need help with access, backtesting, or have any questions about our indicators?
Our support team is available 24/7 on Telegram.
Just reach out through the link below: 👉https://t.me/Drfxai
“You can reach out by searching this username Drfxai”
Smart EntrySmart Entry, has been made after going through multiple variations of codes to arrive at a simple structure where one can control the number of signals the indicator throws out via the indicator parameters. Recommended time frame is 5 minutes.
Simple Trend Indicator (Heikin-Ashi) | Lyro RSSimple Trend Indicator (Heikin-Ashi)
A momentum oscillator using Heikin-Ashi smoothed data to filter trend direction with zero-line crosses.
This indicator calculates the normalized deviation of Heikin-Ashi OHLC values from their Simple Moving Average (SMA), then averages these deviations into a single oscillator. It simplifies trend detection by:
Reducing noise via Heikin-Ashi smoothing.
Highlighting momentum shifts through a zero-line cross system (bullish/bearish).
Providing clear visual signals with color-coded plots and directional dots.
Originality:
Unlike standard momentum oscillators, this tool uniquely combines:
Heikin-Ashi normalization for cleaner trend analysis.
Multi-component averaging (high, open, low, close) to balance sensitivity.
Minimalist design for clutter-free charting.
How It Works:
Data Input: Fetches Heikin-Ashi OHLC values using request.security().
Momentum Calculation: For each Heikin-Ashi component:
Computes % deviation from its SMA: (value − SMA(value, length)) / SMA(value, length) * 100.
Oscillator: Averages deviations of all four components into one line (sum).
Signals:
Bullish: Oscillator > 0 (green).
Bearish: Oscillator < 0 (red).
Cross Confirmation: Dots (⦿) mark zero-line crosses.
Usage:
Trend Following: Enter long/short on sustained oscillator breaks above/below zero.
Reversal Watch: Zero-line crosses may hint at weakening momentum.
Filter: Combine with volume or support/resistance levels.
⚠️Disclaimer: This indicator is a tool for technical analysis and does not provide guaranteed results. It should be used in conjunction with other analysis methods and proper risk management practices. The creators of this indicator are not responsible for any financial decisions made based on its signals.
RSI-Stochastic Combined Oscillator(Mastersinnifty)Description
The RSI-Stochastic Combined Oscillator blends the strengths of RSI and Stochastic indicators to offer a refined view of market momentum. This custom oscillator highlights high-probability turning points using both value crossovers and directional momentum filters. Enhanced signal logic distinguishes between strong and weak trade setups.
How It Works
Calculates RSI and Stochastic %K using user-defined lengths.
Generates a combined oscillator by averaging RSI and Stochastic %K.
Smoothes the output with configurable MA for clarity.
Generates bullish/bearish signals based on crossover logic and momentum strength.
Includes overbought/oversold zones and background color warnings.
Optional signal table displays real-time values for RSI, Stochastic, Combo, and Signal Line.
Inputs
RSI Length – Period for RSI calculation.
Stochastic %K/%D Length – Periods for Stochastic values.
Combined Oscillator Smoothing – Moving average smoothing period.
Overbought/Oversold Levels – Thresholds for signal filtering and background alerts.
Use Case
Ideal for traders looking to:
Confirm entries using dual momentum logic.
Filter out noise with smoothed oscillators.
Identify high-conviction reversal zones.
Receive alerts based on strong and weak momentum shifts.
Disclaimer
This indicator is designed for educational purposes only and does not constitute financial advice. Always conduct your own analysis before making trading decisions.
Square-root Decay Volume ProfileThis indicator displays a custom price profile that mimics a volume profile using occurrence-based weighting rather than actual volume. It counts how often the selected price source (e.g., close) falls within each price bin over a lookback period. What makes it unique is the use of square-root time decay: more recent price occurrences are given greater importance, while older data is discounted proportionally to the inverse square root of its age.
Each bin's relative weight is visualized as a horizontal bar aligned to the right edge of the chart, showing where price has "spent time" more recently. This allows traders to identify areas of interest, balance zones, and potential support/resistance levels based on decayed price density.
Key Features:
Square-root decay weighting favors recent price action
Adjustable lookback period, bin count, and histogram width
Works with any price source (close, hl2, etc.)
Plots boxes directly on the chart for clear visualization
This tool is especially useful for discretionary traders seeking a price-centric alternative to traditional volume profiles, with an added emphasis on recency.
Buy Sell Sniper Entry Background (based on EP Script by RedK)
Is this one of the most precise Buy Sell Indicators?
Only you can tell!
Based on the EP script by RedK EVEREX this indicator will color your background directly in your chart. Clean, easy, simple.
I did not alter any of their logic, nothing.
Looking for an even more precise entry option?
How about combining it with my first Background Indicator based on Williams Alligator.
The Candle coloring is based on this TUE ADX script
Happy Sniper Trading!
RISK MANAGEMENT CALCULATOR V3📊 RISK MANAGEMENT CALCULATOR – Lot Size, Profit & R:R Tool
This script is designed to help traders instantly calculate lot size, expected profit, and risk/reward ratio based on their trade plan.
✅ Features:
Input your Risk Amount ($), Entry, Stop Loss, and up to 3 Take Profits
Calculates:
✅ Lot Size based on risk
✅ Split profits per TP level (equally weighted)
✅ Total Profit & Risk/Reward (R:R)
Displays everything in a clean bottom-right table
Optimized for both:
🖥️ Desktop mode (larger layout)
📱 Mobile mode (toggle compact view)
💡 How to Use:
Enter your planned Entry, Stop Loss, and Risk Amount
Set any TP1, TP2, or TP3 prices (set TP to 0 if not used)
The system will auto-compute your ideal lot size and show estimated profits
🔧 Parameters:
Risk Amount ($) – how much you’re willing to lose
Entry Price – your trade entry
Stop Loss Price – your SL level
Take Profit 1/2/3 – optional TP targets
Pip Value – profit/loss per point for 1 standard lot
📱 Mobile Mode – compact the table for small screens
🔐 Notes:
No trades are executed – this is a risk planning tool only
Designed for all markets (forex, gold, indices, crypto)
TP profits are equally split (e.g. 2 TP = 50% / 50%)
KAIZEN METHOD Futures Position Size Calculator w/ profit targetsThis indicator was created for the Kaizen Method students to help calculate contract size on the fly while showing profit targets to quickly and efficiently set your risk management as trades form. The Kaizen Method is a 1m strategy designed for extremely fast scalps generating borderline instant trades. If you are interested in learning this strategy or becoming a Kaizen student visit our website at kaizentradinggroup.com
AshishBediSPLAshishBediSPL: Dynamic Premium Analysis with Integrated Signals
This indicator provides a comprehensive view of combined options premiums by aggregating data from Call and Put contracts for a selected index and expiry. It integrates multiple popular technical indicators like EMA Crossover, Supertrend, VWAP, RSI, and SMA, allowing users to select their preferred tools for generating dynamic buy and sell signals directly on the premium chart.
AshishBediSPL" is a powerful TradingView indicator designed to analyze options premiums. It calculates a real-time combined premium for a chosen index (NIFTY, BANKNIFTY, FINNIFTY, etc.) and specific expiry date. You have the flexibility to visualize the premium of Call options, Put options, or a combined premium of both.
The indicator then overlays several popular technical analysis tools, which you can selectively enable:
EMA Crossover: Identify trend changes with configurable fast and slow Exponential Moving Averages.
Supertrend: Detect trend direction and potential reversal points.
VWAP (Volume Weighted Average Price): Understand the average price of the premium considering trading volume.
RSI (Relative Strength Index): Gauge momentum and identify overbought/oversold conditions.
SMA (Simple Moving Average): Analyze price smoothing and trend identification.
Based on your selected indicators, the tool generates clear "Buy" and "Sell" signals directly on the chart, helping you identify potential entry and exit points. Customizable alerts are also available to keep you informed.
Unlock a new perspective on options trading with "AshishBediSPL." This indicator focuses on the combined value of options premiums, giving you a consolidated view of market sentiment for a chosen index and expiry.
Instead of just looking at individual option prices, "AshishBediSPL" blends the Call and Put premiums (or focuses on one, based on your preference) and empowers you with a suite of built-in technical indicators: EMA, Supertrend, VWAP, RSI, and SMA. Pick the indicators that resonate with your strategy, and let the tool generate actionable buy and sell signals right on your chart. With customizable alerts, you'll never miss a crucial market move. Gain deeper insights and make more informed trading decisions with "AshishBediSPL.
Combined options premium: This accurately describes what your indicator calculates.
Selected index and expiry: Essential inputs for the indicator.
Call/Put options or combined: Explains the flexibility in data display.
Multiple technical indicators (EMA Crossover, Supertrend, VWAP, RSI, SMA): Lists the analysis tools included.
Buy/Sell signals: The primary output of the indicator.
Customizable alerts: A valuable feature for users.
トレンドフォローBUY&SELL ver1.1Indicator Description
This indicator displays three moving averages (MAs) and generates buy and sell signals based on their crossovers. It’s designed to help traders easily follow the trend and avoid counter-trend trades.
1. Three Moving Averages
MA1 (Default: 7) – Short-term trend (Yellow)
MA2 (Default: 50) – Medium-term trend (Blue)
MA3 (Default: 200) – Long-term trend (Red), also used as a filter
2. Signal Types
(A) MA1 and MA3 Crossovers (Yellow Signals)
Golden Cross (BUY): MA1 crosses above MA3
Dead Cross (SELL): MA1 crosses below MA3
→ Helps identify shifts between short-term and long-term trends.
(B) MA1 and MA2 Crossovers (Green & Red Signals)
BUY (Green): MA1 and MA2 cross, and both are above MA3
SELL (Red): MA1 and MA2 cross, and both are below MA3
→ Only trend-aligned signals are shown (buy only above MA3, sell only below MA3).
(C) Gray Signals (Filtered-Out Signals)
If MA1 and MA2 cross but don’t meet the MA3 condition, a gray signal is displayed.
Example: “BUY” below MA3 or “SELL” above MA3 appears as gray.
→ This feature is ON by default but can be turned OFF in the settings.
3. Alerts
Alerts can be triggered for:
MA1 × MA3 Golden Cross / Dead Cross
MA1 × MA2 BUY / SELL (with MA3 filter)
This allows you to receive notifications when valid trade setups occur.
4. Key Benefits
Visualize short-, medium-, and long-term trends at the same time
Trade only in the direction of the 200MA trend using the built-in filter
Optionally view filtered-out (gray) signals for extra context
Set alerts to avoid missing trading opportunities
With this indicator, you can focus on trading with the trend—buying above the 200MA and selling below it—while staying informed of all crossover events.
このインジケーターは 3本の移動平均線（MA） と、
それらのクロスに基づいた 売買シグナル を表示するツールです。
1. 3本の移動平均線
MA1（デフォルト7）：短期のトレンドを把握するための線（黄色）
MA2（デフォルト50）：中期のトレンドを把握するための線（青）
MA3（デフォルト200）：長期のトレンド（赤）。フィルターとしても使用
2. シグナルの種類
(A) MA1とMA3のクロス（黄色シグナル）
ゴールデンクロス（BUY）：MA1がMA3を上抜け
デッドクロス（SELL）：MA1がMA3を下抜け
→ 長期トレンドと短期の変化を確認するための参考シグナル
(B) MA1とMA2のクロス（緑・赤シグナル）
BUY（緑）：MA1とMA2がクロスし、両方がMA3より上にある
SELL（赤）：MA1とMA2がクロスし、両方がMA3より下にある
→ 200MAを基準に「上なら買い、下なら売り」のトレンド方向に沿ったシグナルだけを表示
(C) グレーシグナル（フィルター除外）
MA1とMA2がクロスしたが、MA3の条件を満たさなかった場合にグレー表示
例えば「MA3より下でBUY」「MA3より上でSELL」はグレー
→ 初期設定ではONになっていますが、オフにすることも可能
逆張りの指標や、トレンド転換のサインにもなる
3. アラート機能
MA1×MA3のゴールデンクロス/デッドクロス
MA1×MA2のBUY/SELL（MAフィルターあり）
→ これらが発生したタイミングでTradingViewのアラートを出せる
4. 使い方のポイント
短期・中期・長期のトレンドを同時に把握できる
200MAを基準にフィルターすることで「逆張りシグナル」を排除
フィルターで外れたシグナルもグレーで確認できる（任意）
アラートを設定すれば、チャンスを逃さずにエントリー可能
このインジケーターを使うことで、「200MAの上では買いのみ」「下では売りのみ」というシンプルでトレンドに沿ったトレードができるようになります。
Central Pivot Range DWMCentral pivot range with camarilla cpr along with previous day high low
you can use the indicator for daily weekly monthly and future ranges
change the setting to get your desire ranges
