📈 RSI with Trend Lines📈 RSI with Trend Lines - Professional Trading Indicator
Advanced RSI indicator enhanced with dual moving average system for precise trend identification and high-quality trading signals.
🔹 Key Features:
• Dual MA trend lines (Fast EMA-9 black, Slow EMA-21 red) applied to RSI
• Automatic trend detection with background coloring
• Trading signals on MA crossovers with strength indication
• Bullish/Bearish divergence detection between price and RSI
• Real-time information dashboard
• Comprehensive alert system with 10 different alert types
• Customizable overbought/oversold levels
🔹 Trading Signals:
🔼 LONG: Black line crosses above red line
🔽 SHORT: Red line crosses above black line
🔄 Divergences: Price vs RSI discrepancies
💪 Strong signals: Crossovers near extreme zones
🔹 Perfect for:
• All timeframes (scalping to swing trading)
• All financial instruments (Forex, Stocks, Crypto, Futures)
• Beginners and experienced traders
• Multiple trading strategies
🔹 Customizable Settings:
• RSI period and source
• MA types (SMA/EMA/WMA) and periods
• Overbought/Oversold levels
• Display options for signals and divergences
⚠️ Risk Disclaimer: Use proper risk management. Combine with other analysis tools. No indicator is 100% accurate.
🎯 10 Alert Types Available:
1. Bullish/Bearish MA crossovers
2. Strong signals in extreme zones
3. RSI overbought/oversold entries
4. Bullish/Bearish divergences
5. Trend change notifications
Signals
LEOLA LENS SignalProLeola Lens SignalPro is a closed-source, invite-only overlay that provides automated Buy/Sell labels on the chart. It is built for traders who want to visually capture high-probability turning points using adaptive market logic.
The system operates in two intelligent modes, suitable for different risk profiles and market conditions:
🔁 Two Core Modes:
Scalper Mode
Reacts to short-term price momentum shifts. Ideal for fast-paced trading in crypto, intraday stocks, or volatile sessions.
Safeguard Mode
Prioritizes confirmation. Waits for cleaner structural breaks or volume-backed exhaustion before generating signals — designed for those seeking higher signal quality and fewer false positives.
📊 How It Works (Conceptual Overview):
The script analyzes:
Live price structure
Volatility bands
Dynamic support/resistance reactions
A custom trigger engine monitors:
Breakout conditions
Liquidity imbalances
Exhaustion wicks and trap patterns
Labels are only generated after strict checks.
A yellow caution label appears when there’s a likely trend reversal, alerting traders to proceed with extra caution.
🟡 Additional Visual Layers:
🟡 Yellow Line → Marks a key psychological decision zone. Often precedes major breakouts or trend changes.
🩷 Pink Lines → Show reactive support and resistance levels derived from recent liquidity sweeps. These lines help anticipate pullbacks, reversal rejections, or false breakouts.
🧩 How to Use It:
Toggle between Scalper and Safeguard modes depending on your strategy
Works across all markets — crypto, stocks, forex, and commodities
Watch for:
Buy labels near exhaustion candles or support retests
Sell labels after extended upside moves or trap wicks
Yellow caution tag = high reversal risk zone
Pink/Yellow lines = visual context for decision-making
⚠️ Important Notes:
This script does not use common indicators like RSI, MACD, or Bollinger Bands
Not derived from public scripts — it’s built from original models combining structure and momentum imbalance
For best results, use on a clean chart with no overlapping indicators.
Moving Average / ATR Breakout Signal [ARTech]Moving Average / ATR Breakout Signal
This indicator generates trend-following signals based on price breaking above or below a user-defined Moving Average (MA). It supports various MA types and lengths, while offering optional filters like ATR bands and breakout thresholds to enhance signal quality. The tool is designed to help traders detect momentum shifts with configurable confirmation logic and offers visual enhancements to help traders better interpret market conditions at a glance.
Key Features:
• Multi-Type Moving Average Support: Choose from various Moving Average types including EMA, SMA, Hull MA, VWMA, RMA, TEMA, and more — fully customizable with source and length options.
• Flexible Signal Logic: Signals are generated when price breaks above or below the selected MA. You can define the number of confirmation candles and choose between wick-based or close-based break logic.
• ATR-Based Filtering: Enable ATR filtering to create dynamic upper and lower breakout bands around the MA. This helps reduce noise and validate true breakouts with volatility-adjusted thresholds.
• Breakout Threshold Filtering: Add an optional breakout condition where the price must first move a minimum percentage away from the previous signal level before a new opposite signal is allowed. Prevents choppy back-to-back signals.
• Visual Enhancements: Color-coded backgrounds highlight long and short zones, adapting dynamically to signal context. Optional MA slope coloring further supports trend visualization.
• Signal Alerts: Customizable alerts for long and short signals, including user-defined messages, to keep you notified in real-time.
Why use this indicator?
• Helps you identify clear trend shifts by focusing on price action relative to a customizable moving average.
• Improves signal reliability with optional ATR filtering and breakout confirmation, reducing false signals.
• Flexible MA types and lengths let you tailor the indicator to your trading style.
• Suitable for traders of all levels looking for a straightforward, yet powerful trend-following tool.
How to Use
███████ Alerts ███████
• Custom Alerts: To enable Custom Alerts, you need to activate the fx alert() function call option in TradingView’s alert creation dialog. Then, select the desired alert type (Long or Short) from the indicator's settings under the "Alerts" section, you can customize messages and enable notifications for Long and Short signals.
Using Custom Alerts allows you to set up one alert that covers both Long and Short signals, simplifying your alert management.
• Long and Short Alerts: To create Long or Short alerts, open the alert dialog, select this indicator as the condition, then choose “Long” or “Short” from the list and click Create.
You need to set up two separate alerts: one for Long signals and one for Short signals.
███████ Moving Average ███████
This is the core component of the signal system. You can customize:
Moving Average Type: Choose from SMA, EMA, WMA, Hull MA, VWMA, RMA, or TEMA
Length: Adjust the length to suit your strategy.
Source: Select which price data (e.g., Close, Open, HL2) is used to calculate the MA.
Show Slope Color: Colors the MA line based on its direction: upward slopes are shown in the selected "Up" color, while downward slopes use the "Down" color. This helps you visually confirm trend direction at a glance.
Show Background Color: When enabled, highlights the area between the MA and price to enhance signal zones:
– If ATR filter is on, the space between ATR bands is shaded.
– If ATR filter is off, the area between the MA line and bar closes is colored.
This helps emphasize potential breakout or trend-following zones visually.
███████ Break Options ███████
Confirm Candles: Defines the number of consecutive candles that must break the selected level to confirm a signal.
– If ATR filter is enabled, this level is the ATR bands.
– If ATR is disabled, the Moving Average line is used.
This helps filter out noise and avoid premature signals.
Break Type: Specifies how the candle must break the level:
– Close: The candle must close beyond the level.
– Wick: A wick touching or exceeding the level is enough.
Choose based on how strict you want the breakout condition to be.
███████ Filters ███████
This section provides optional filters to improve signal accuracy:
ATR
When enabled, breakout confirmation requires the price to cross above the upper breakout line or below the lower breakout line by a specified percentage from the last signal price.
• Multiplier: Adjusts the width of ATR bands by multiplying the ATR value.
• Length: Sets the period for ATR calculation.
• Smoothing: Selects the smoothing method applied to the ATR (RMA, SMA, EMA, WMA).
• Upper and Lower Line Colors: Customize the colors of the ATR bands.
Breakout Filter
When enabled, breakout confirmation requires the price to cross above the upper breakout line or below the lower breakout line by a specified percentage from the last signal price.
• Threshold (%): Defines the minimum percentage price movement required to validate a breakout.
• Show Breakout Levels: Toggle to display or hide breakout threshold area on the chart.
JUJUBy default, the indicator works on the current chart timeframe (HTF = chart).
Bars back defines how many previous candles are used in the calculations.
To display the indicator on the same chart but from another timeframe, set a negative offset equal to -bars_back.
Note: Don't forget to set offset = -bars_back.
If you encounter bar counting errors, reduce the bars_back value.
Alternatively, use symbols like NQ1, ES1, etc. where historical data is more reliable.
🔁 Using a different timeframe (HTF):
If you want to visualize candles from a different timeframe:
Set the appropriate timeframe manually
Set bars_back = 100
Set offset = 20
This will draw the HTF chart with a right-side offset of 20 candles.
⚠️ Warning: When using a higher timeframe with offset > 0, you can only display up to 500 bars forward.
So, if you're stacking multiple HTF indicators (e.g. multiple Juju indicators), make sure the total of offset + bars_back is less than 500.
🔎 Visual elements included:
FVG (Fair Value Gaps)
With options for:
Mitigated / not mitigated
Volume filtering
Number of times mitigated
OB Candles (not zones)
With imbalance detection
Parameters can be adjusted per timeframe
Bollinger Bands
Period 20 with deviation 2 and 2.5
Period 160 with deviation 2.8
Simple Moving Averages (SMA)
SMA 50, SMA 20, SMA 7
Trend
Shows the current trend (short-term)
Buy/Sell Labels
Generated when price interacts with FVGs
Conditional on the current Trend
Structure Levels (dashed lines)
If touched: line becomes solid
If broken through: line disappears
BSL / SSL (Buy-side / Sell-side Liquidity)
Marked using price values
CASH (RTH - Regular Trading Hours)
Displays price levels from the cash session
Highlights open/close candles
Plots levels and Fibonacci from the previous day’s open/close gap
Midnight Range (first 30 minutes)
Displays High, Low, and Open
USA / EU Tickers
Optional — complete this list to enable correct session detection for RTH/Cash calculations
Auto Fibonacci Tool
Automatically plots fib levels and extensions
Helps visualize Discount / Premium zones + Equilibrium
Yellow zones = Fibonacci extensions
Linear Regression + Deviation
Previous High / Low: Daily, Weekly, Monthly
Previous Asia Session High / Low
The Multi Crossover Strategy [BoyaSignals]
📄 OVERVIEW
This strategy combines a layered entry system and adaptive risk management to capture opportunities across different market phases. Entries progress from deep reversals to momentum breakouts, using filters that adjust to trend, consolidation, or reversal conditions.
Advanced risk management features are built in, including a dynamic trailing stop and dynamic stop loss that adapt to volatility and trend conditions. These mechanisms are designed to help manage open positions more effectively than using fixed ATR multipliers alone.
The system includes enhanced backtesting statistics to help evaluate how changes in configuration affect historical performance. All backtesting results are for evaluation purposes only and should not be relied upon as an indicator of future performance.
For transparency, the strategy provides detailed chart labels showing the type of entry triggered, the entry filter number, real-time profit and loss percentages, and the reason for position closure. Display options allow users to show or hide labels and to overlay decision-related moving averages and Bollinger Bands for further context.
Alerts generated by this strategy can be used for discretionary entries or connected to automated trading platforms that accept TradingView webhook signals, such as Coinbase, Binance, and others. Some traders choose to integrate this setup with third-party services like Cryptohopper to automate execution, though this is entirely optional.
⸻
🔍 HOW DOES IT WORK
Signals are generated through a combination of momentum crossovers that pinpoint different stages of market movement. Each entry undergoes a series of checks across multiple indicators—including RSI, CCI, ADX, Bollinger Bands, moving averages, and volume—to confirm alignment with the strategy’s criteria.
Optional divergence detection across ten indicators can further strengthen signal quality and reduce the chance of false entries. In addition, global filters enforce conditions like minimum retracements, distance from key averages, and sufficient volatility before any trade is allowed.
Once an entry is active, stop losses and trailing stops adjust automatically in response to current volatility, momentum shifts, and recent price behavior. By sequencing filters and confirmations, the strategy aims to avoid chasing late moves while systematically identifying setups with the highest potential.
⸻
🎯 ENTRY TYPES
This strategy combines multiple entry methods to help identify potential opportunities across a variety of price conditions. Each entry type can be enabled or disabled individually and is evaluated using configurable filters and confirmation tools.
Stochastic RSI Crossover
Triggers when the Stochastic RSI K line crosses above the D line, often in oversold areas.
9-Period Moving Average Crossover
Triggers when price crosses the 9-period simple moving average.
MACD Crossover
Triggers when the MACD line crosses the signal line.
Big Bottom Entry
Designed to catch deep reversals before a Stochastic RSI crossover has formed.
Breakout Entry
Triggers when price exceeds recent high levels.
⸻
📊 MULTI-INDICATOR EVALUATION
Every entry signal is assessed using conditions including RSI, ADX, Stochastic, CCI, volume, volatility, price position relative to Bollinger Bands, proximity to the 50 and 200 moving averages, and additional proprietary filters. These filters help align entries with broader market context and avoid signals during unfavorable conditions.
⸻
🧭 DIVERGENCE CONFIRMATION
An additional confirmation layer can be added by checking for divergences around entry bar.
Settings let users customize how strict the divergence confirmation should be:
Specify the minimum number of divergences required
Allow divergence count overrides when volume is elevated
Require divergence on the crossover bar (stricter) or accept the nearest pivot (more flexible)
Enable divergence only when the market is not in an uptrend
Apply divergence checks selectively to specific entry types
Disable divergence validation entirely
⸻
🧩 ENTRY FILTERS
Filters Adapted To Price Context
Each entry method uses filters tailored to price conditions. For example, Stochastic RSI has distinct filters for downtrends, sideways moves, and retracements. 9MA and MACD entries check if price is above or below the basis line. You can enable or disable these filters to create stricter or more flexible entry criteria.
This is a layered approach that identifies opportunities progressively—from deep reversals to Stoch entries below the 9MA, then 9MA and MACD setups between averages and the upper Bollinger Band, and finally breakout entries at new highs. If one entry (e.g., a Stoch Crossover) doesn’t trigger, the strategy evaluates the next crossover filters as price rises.
Global Entry Filters
In addition to specific entry conditions, the strategy includes global filters to improve signal quality. These can:
Require a minimum distance above or below the 50 and 200 moving averages.
Define minimum and maximum retracement percentages in an uptrend.
Specify minimum distances from recent swing highs, swing lows, or resistance.
Set a minimum Bollinger Band width for entries.
Optionally disable entries entirely if the price is below key moving averages.
These filters can be adjusted or turned off to fine-tune selectivity.
⸻
🟢 DYNAMIC TRAILING STOPS
The strategy includes an advanced trailing stop mechanism that adapts to market conditions. Unlike a fixed ATR stop, this system evaluates multiple criteria to determine how aggressively or loosely to trail price.
The trailing stop becomes active only after price has reached a minimum profit level to avoid early tightening.
Dynamic ATR multipliers adjust between tight, narrow, and wide modes:
Wide trailing is used when strong bullish momentum, breakouts, or support above moving averages are detected.
Narrow trailing is applied during low volatility and early momentum loss.
Tight trailing activates if reversal signals appear, such as bearish divergences or trend exhaustion.
Evaluation factors include volatility, Bollinger Band compression, momentum slope and exhaustion patterns, price position relative to moving averages and bands, divergence signals, and recent swing levels.
You can define ATR multipliers, enable or disable tightening conditions, and choose adaptive or fixed trailing behavior.
Labels show when the trailing stop is armed and when adjustments occur.
Entry Label – In the snapshot above, you can see a Stoch Entry with the number 1 displayed below the “Stoch” label, indicating that Entry Filter 1 was the specific condition that triggered this trade.
Divergence Label – The entry was confirmed by divergences detected on four indicators at the entry bar: Stoch, CCI, CMF, and MFI. A green divergence label means regular divergences were found (hidden divergences are shown in orange).
Percentage Label – Where a position closes, you’ll see a percentage label showing the profit or loss achieved—green for profit, red for loss.
Trail Stop Label – The light blue label identifies which trailing stop rule closed the trade. In this snapshot, it was a tight stop loss triggered by bearish divergence.
Notice: A few bars to the left of this entry, there is another green divergence label without a corresponding entry signal. This indicates that although a divergence was detected, none of the entry filter criteria were met, so no trade was initiated.
⸻
🔴 DYNAMIC STOP LOSS
This strategy includes a comprehensive stop loss system that adapts as the market evolves. The stop loss can:
Use ATR-based or fixed percentage distance.
Tighten if early reversal risk appears , such as minor bearish movement or early trend shifts.
Tighten further if stronger bearish reversal signals confirm , including failed bounce attempts, rejection at resistance, or lower highs.
Define a maximum allowable loss per trade . By default, max stop loss is set to 3.5% below entry.
Allow a temporary extension beyond the max loss cap if bullish recovery signals appear, such as deep oversold conditions with momentum shift or successful bounces. By default, extended stop loss is enabled with 1.2% additional loss allowed.
Adjust to breakeven after reaching a defined profit.
Additional settings define how many bars must pass before certain stops activate, how long extended stops remain active, and what triggers a final exit. Labels show which stop type was triggered and why.
Examples to the use of extended SL:
A Reduced Loss Example:
A Reduced Loss Example 2:
Loss Turned Into Profit:
The “+” mark at the bottom of a bar indicates that the extended stop loss feature kept the position open due to detected reversal signals.
The “T” mark shows that the tight stop loss was triggered at that bar.
The red stop loss label above the closing bar displays the type of stop loss activated (e.g., Extended SL) and the reason for the exit (e.g., Breakdown).
⸻
STATISTICS AND BACKTESTING
The statistics provided in this strategy, help you analyze historical performance and see how changing the settings affects results .
Statistics include net profit, win rate, average win and loss size, maximum drawdown, risk/reward ratio, counts of each stop loss and trailing stop type, performance by entry method, filter-specific results, and monthly and yearly profit distributions.
The strategy was developed over the course of a full year, with extensive evaluation and testing on multiple coins and market conditions. By default all entry types and their related filters are activated. The default settings works well with many symbols but you will always need to fine-tune them in order to achieve best results for each symbol. Optimized results were found with DOGEUSDT on the 15 minute chart .
Although default settings can deliver strong performance on some symbols, it may produce poor results on others if left unadjusted. Tips for quickly tuning the configuration to different coins are provided at the end of this description.
⸻
ADDITIONAL LABELS
Skipped Divergence Labels
In the snapshot above, you can see an example of a label showing a skipped divergence. This means a divergence was detected on that bar but was not considered valid. A divergence will not be treated as valid if the number of divergences on that bar is less than the minimum defined in the settings, or if the type of divergence does not match the expected type for the current trend. Hidden divergences are used to confirm retracements during uptrends, while regular divergences are used to identify potential bottom reversals.
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🧮 RISK ASSUMPTIONS AND DEFAULT SETTINGS
This strategy backtest uses a starting balance of $10,000 with 1 tick slippage and 0.075% commission. Position size defaults to 100% per trade to clearly measure the impact of each entry without partial allocations. The maximum stop loss is set at 3.5% below entry to limit downside risk, while an extended stop is activated by default (optional) and can widen losses by up to an additional 1.2%.
Why 100% Position Size is Used
This strategy defaults to allocating 100% of available equity per trade to simplify performance measurement and scaling. Because all entries are protected by defined stop loss levels (by default, maximum 3.5% of entry price + Extended stop loss % if activated), the actual risk per trade remains capped and does not exceed a sustainable portion of account equity. Users who prefer a different allocation can easily adjust position sizing in the Properties tab to match their preferred risk tolerance.
NOTICE & DISCLAIMER
This material is provided solely for personal study and demonstration. Redistribution, resale, modification, or any other use of these files or ideas is strictly prohibited. This tool does not provide financial advice or recommendations. Trading involves substantial risk and should be based on your own judgment. You are solely responsible for any decisions and outcomes.
No representation is made that the strategy will perform as intended in all situations. Automated systems may occasionally exit positions too early or too late, or extend trades when they should not. Use this information carefully and at your own discretion. No guarantees of performance or results are given.
⸻
TIPS FOR ADJUSTING SETTINGS TO VARIOUS SYMBOLS
There are a few simple steps I recommend when adapting the strategy to other coins or symbols:
1. Review the backtesting results.
Check whether there’s a healthy balance between wins and losses across most entry filters. If not, continue with the adjustments below.
2. Adjust divergence confirmation strictness.
For example, by default, Stoch Entries use the “Divergence / Uptrend” setting, requiring divergence only when an uptrend isn’t detected. Changing this to “After Divergence” forces every entry to confirm with divergence. Refer to the tooltips for each option to see how they impact signals.
3. Refine divergence settings.
Try adjusting the minimum number of divergences required to validate a signal and toggle the override divergence count switch. You can also experiment with enabling or disabling the other divergence-related toggles to see how they affect performance.
4. Deactivate specific entry filters.
If some filters still show a weak win/loss ratio after refining divergence criteria, consider turning them off to improve overall results.
5. Modify Narrow Trailing Stop behavior.
You can choose when the Narrow Trailing Stop should engage—either when bandwidth drops below 3% or when it falls under the average bandwidth of recent bars.
6. Adjust Global Entry Filters
Fine-tune the global filters to change thresholds for defining uptrends, retracements, minimum volatility, and conditions around key moving averages.
All in one [AlgoPoint]all indicators in one - easy to you use, there you can use differents indicators by your choise at settings. FIrst of all you can use few signals when you need to open the order. Also you can see there levels when you need to maybe close order. fwp, kill zone, ema
Pivot level- by DoItToday(BonVoyage)
Automated Scalping Signals with TP/SL Indicator [QuantAlgo]🟢 Overview
The Automated Scalping Signals with Take Profit & Stop Loss Indicator is a multi-timeframe trading system that combines market structure analysis with directional bias filtering to identify potential scalping opportunities. It detects Points of Interest (POI) including Fair Value Gaps (FVG) and Order Blocks (OB) while cross-referencing entries with higher timeframe exponential moving average positioning to create systematic entry conditions.
The indicator features adaptive timeframe calculations that automatically scale analysis periods based on your chart timeframe, maintaining consistent analytical relationships across different trading sessions. It provides integrated trade management with stop loss calculation methods, configurable risk-reward ratios, and real-time performance tracking through dashboard displays showing trade statistics, bias direction, and active position status.
This advanced system is designed for low timeframe trading, typically performing optimally on 1 to 15-minute charts across popular instruments such as OANDA:XAUUSD , CME_MINI:MES1! , CME_MINI:ES1! , CME_MINI:MNQ1! , CBOT_MINI:YM1! , CBOT_MINI:MYM1! , BYBIT:BTCUSDT.P , BYBIT:ETHUSDT.P , or any asset and timeframe of your preference.
🟢 How It Works
The indicator operates using a dual-timeframe mathematical framework where higher timeframe exponential moving averages establish directional bias through cross-over analysis, while simultaneously scanning for specific market structure patterns on the POI timeframe. The timeframe calculation engine uses multiplication factors to determine analysis periods, ensuring the bias timeframe provides trend context while the POI timeframe captures structural formations.
The structural analysis begins with FVG detection, which systematically scans price action to identify imbalances where gaps exist between consecutive candle ranges with no overlapping wicks. When such gaps are detected, the algorithm measures their size against minimum thresholds to filter out insignificant formations. Concurrently, OB recognition analyzes three-candle sequences, examining specific open/close relationships that indicate potential institutional accumulation zones. Once these structural patterns are identified, the algorithm cross-references them against the higher timeframe bias direction, creating a validation filter that only permits entries aligned with the prevailing EMA cross-over state. When price subsequently intersects these validated POI zones, entry signals generate with the system calculating entry levels at zone midpoints, then applying the selected stop loss methodology combined with the configured risk-reward ratio to determine take profit placement.
To mirror realistic trading conditions, the indicator incorporates configurable slippage calculations that account for execution differences between intended and actual fill prices. When trades reach their take profit or stop loss levels, the algorithm applies slippage adjustments that worsen the exit prices in a conservative manner - reducing take profit fills and increasing stop loss impact. This approach ensures backtesting results reflect more realistic performance expectations by accounting for spread costs, market volatility during execution, and liquidity constraints that occur in live trading environments.
It also has a performance dashboard that continuously tracks and displays comprehensive trading metrics:
1/ Bias TF / POI TF: Displays the calculated timeframes used for bias analysis and POI detection, showing the actual periods (e.g., "15m / 5m") that result from the multiplier settings to confirm proper adaptive timeframe selection
2/ Bias Direction: Shows current market trend assessment (Bullish, Bearish, or Sideways) derived from EMA cross-over analysis to indicate which trade directions align with prevailing momentum
3/ Data Processing: Indicates how many price bars have been analyzed by the system, helping users verify if complete historical data has been processed for comprehensive strategy validation
4/ Total Trades: Displays the cumulative number of completed trades plus any active positions, providing volume assessment for statistical significance of other metrics
5/ Wins/Losses: Shows the raw count of profitable versus unprofitable trades, offering immediate insight into strategy effectiveness frequency
6/ Win Rate: Reveals the percentage of successful trades, where values above 50% generally indicate effective entry timing and values below suggest strategy refinement needs
7/ Total R-Multiple: Displays cumulative risk-reward performance across all trades, with positive values demonstrating profitable system operation and negative values indicating net losses requiring analysis
8/ Average R Win/Loss: Shows average risk-reward ratios for winning and losing trades separately, where winning averages approaching the configured take profit ratio indicate minimal slippage impact while losing averages near -1.0 suggest effective stop loss execution
9/ TP Ratio / Slippage: Displays the configured take profit ratio and slippage settings with calculated performance impact, showing how execution costs affect actual versus theoretical returns
10/ Profit Factor: Calculates the ratio of total winning amounts to total losing amounts, where values above 1.5 suggest robust profitability, values between 1.0-1.5 indicate modest success, and values below 1.0 show net losses
11/ Maximum Drawdown: Tracks the largest peak-to-trough decline in R-multiple terms, with smaller negative values indicating better capital preservation and risk control during losing streaks
🟢 How to Use
Start by applying the indicator to your chart and observe its performance across different market conditions to understand how it identifies bias direction and POI formations. Then navigate to the settings panel to configure the Bias Timeframe Multiplier for trend context sensitivity and POI Timeframe Multiplier for structural analysis frequency according to your trading preference and objectives.
Next, fine-tune the EMA periods in Bias Settings to control trend detection sensitivity and select your preferred POI types based on your analytical preference. Proceed to configure your Risk Management approach by selecting from the available stop loss calculation methods and setting the Take Profit ratio that aligns with your risk tolerance and profit objectives. Complete the setup by customizing Display Settings to control table visibility and trade visualization elements, adjusting UI positioning and colors for optimal chart readability, then activate Alert Conditions for automated notifications on trade entries, exits, and bias direction changes to support systematic trade management.
🟢 Examples
OANDA:XAUUSD
CME_MINI:MES1!
CME_MINI:ES1!
CME_MINI:MNQ1!
CBOT_MINI:YM1!
BYBIT:BTCUSDT.P
BINANCE:SOLUSD
*Disclaimer: Past performance is not indicative of future results. None of our statements, claims, or signals from our indicators are intended to be financial advice. All trading involves substantial risk of loss, not just upside potential. Users are highly recommended to carefully consider their financial situation and risk tolerance before trading.
RSI Extreme Hit Tracker (Visual Enhanced + Stats)📊 Indicator Overview
🔥 RSI Extreme Hit Tracker – Visual Enhanced + Stats Edition
A high-precision momentum tracker designed for traders who want maximum insight into RSI behavior at extreme thresholds.
🧠 What It Tracks
This indicator doesn’t just alert you when RSI enters ultra-overbought or ultra-oversold zones—it actively logs, analyzes, and visualizes how price reacts during those periods.
It tracks:
- OB/OS HOLD Events: When RSI enters and stays in extreme zones for a customizable bar count
- OB/OS EXIT Events: When RSI retreats from extremes via hysteresis logic for adaptive confirmation
- Entry Alerts: Based on four modes (Basic, Cool-down, Confirmed, or Hysteresis)
- Tier Markers: Emoji-based tier tags to classify signal impact instantly on chart
- Background Tints: When OB/OS zones are active, for clear visual context
📈 Statistical Table
On every final bar, a clean table appears in the top-right corner showing:
- Count of OB/OS events (Hold & Exit)
- Total % move across all signals
- Average % move per signal
- Easy-to-skim P&L performance stats
🎛️ Configurable Features
🔄 Cool-down Periods: Prevent rapid-fire alerts after consecutive hits
🔍 Confirmed Entries: Require two-bar RSI zone confirmation before firing
🧪 Hysteresis Logic: Avoid false exits by confirming RSI decay before logging
📏 Custom Thresholds: Adjust OB/OS entry levels, exit hysteresis, and hold duration
🎨 Visual Feedback: Triangle, X-cross, and circle shapes with color-coded tier labels (🟩 🟨 🟦 🟥)
💡 Ideal Use Cases
- Reversal traders looking to time exhaustion and RSI flips
- Scalpers and momentum riders wanting sharp entry/exit maps
- Coders refining algorithms using historical signal behavior
- Analysts exploring data-driven signal statistics over time
Mean Reversion Multi IFVG strategy - QuantShokThe Mean Reversion Multi IFVG strategy, gives you entries when liquidity has been swept and a IFVG has been formed and retested. Based off of ICT this indicates a strong reversal, which is what the strategy capitalizes on. The indicator will plot out CTF, 2m, 3m, and 5m IFVGs that have been tested as a support or resistance after a sweep. It is best too use a entry too target unmitigated PD arrays or untapped liquidity. This indicator is intended for the nasdaq but do with it as you wish, additionally it is very customizable the default setting are recommended.
Low Price RSI CrossoverThis Pine Script indicator is a Multi-Timeframe Low RSI Crossover system that combines three key filtering criteria to identify high-probability buy signals. Here's what it does:
Core Concept
The indicator only generates buy signals when all three conditions are met simultaneously:
Price at Multi-Period Low: Current price must be at or near the lowest point within your selected timeframe (1 week to 5 years, or custom)
RSI Momentum Shift: The smoothed RSI must cross above its signal line (EMA), indicating upward momentum
Below Threshold Entry: Both the RSI and its signal line must be below your threshold level (default 50) when the crossover occurs
Key Features
RSI Smoothing: Uses Hull Moving Average (HMA) to smooth the raw RSI, reducing noise and false signals while maintaining responsiveness.
Flexible Timeframes: Choose from predefined periods (1W, 2W, 3W, 1M, 2M, 3M, 6M, 9M, 1Y, 2Y, 3Y, 5Y) or set a custom number of bars.
Visual Feedback:
Plots the smoothed RSI (blue line) and its signal line (red line)
Shows threshold and overbought levels
Highlights signal bars with green background
Displays tiny green triangles at signal points
Real-time status table showing all conditions
Trading Logic
This is essentially a mean-reversion strategy that waits for:
Price to reach significant lows (value zone)
Momentum to start shifting upward (RSI crossover)
Entry from oversold/neutral territory (below 50 RSI)
Why This Works
By requiring price to be at multi-period lows, you avoid buying during downtrends or sideways chop. The RSI crossover confirms that selling pressure is starting to ease, while the threshold filter ensures you're not buying into overbought conditions.
The combination of these filters should significantly reduce false signals compared to using any single indicator alone.
Logarithmic Moving Average (LMA) [QuantAlgo]🟢 Overview
The Logarithmic Moving Average (LMA) uses advanced logarithmic weighting to create a dynamic trend-following indicator that prioritizes recent price action while maintaining statistical significance. Unlike traditional moving averages that use linear or exponential weights, this indicator employs logarithmic decay functions to create a more sophisticated price averaging system that adapts to market volatility and momentum conditions.
The indicator displays a smoothed signal line that oscillates around zero, with positive values indicating bullish momentum and negative values indicating bearish momentum. The signal incorporates trend quality assessment, momentum confirmation, and multiple filtering mechanisms to help traders and investors identify trend continuation and reversal opportunities across different timeframes and asset classes.
🟢 How It Works
The indicator's core innovation lies in its logarithmic weighting system, where weights are calculated using the formula: w = 1.0 / math.pow(math.log(i + steepness), 2) The steepness parameter controls how aggressively recent data is prioritized over historical data, creating a dynamic weight decay that can be fine-tuned for different trading styles. This logarithmic approach provides more nuanced weight distribution compared to exponential moving averages, offering better responsiveness while maintaining stability.
The LMA calculation combines multiple sophisticated components. First, it calculates the logarithmic weighted average of closing prices. Then it measures the slope of this average over a 10-period lookback: lmaSlope = (lma - lma ) / lma * 100 The system also incorporates trend quality assessment using R-squared correlation analysis of log-transformed prices, measuring how well the price data fits a linear trend model over the specified period.
The final signal generation uses the formula: signal = lmaSlope * (0.5 + rSquared * 0.5) which combines the LMA slope with trend quality weighting. When momentum confirmation is enabled, the indicator calculates annualized log-return momentum and applies a multiplier when the momentum direction aligns with the signal direction, strengthening confirmed signals while filtering out weak or counter-trend movements.
🟢 How to Use
1. Signal Interpretation and Threshold Zones
Positive Values (Above Zero): LMA slope indicating bullish momentum with upward price trajectory relative to logarithmic baseline
Negative Values (Below Zero): LMA slope indicating bearish momentum with downward price trajectory relative to logarithmic baseline
Zero Line Crosses: Signal transitions between bullish and bearish regimes, indicating potential trend changes
Long Entry Threshold Zone: Area above positive threshold (default 0.5) indicating confirmed bullish signals suitable for long positions
Short Entry Threshold Zone: Area below negative threshold (default -0.5) indicating confirmed bearish signals suitable for short positions
Extreme Values: Signals exceeding ±1.0 represent strong momentum conditions with higher probability of continuation
2. Momentum Confirmation and Visual Analysis
Signal Color Intensity: Gradient coloring shows signal strength, with brighter colors indicating stronger momentum
Bar Coloring: Optional price bar coloring matches signal direction for quick visual trend identification
Position Labels: Real-time position classification (Bullish/Bearish/Neutral) displayed on the latest bar
Momentum Weight Factor: When short-term log-return momentum aligns with LMA signal direction, the signal receives additional weight confirmation
Trend Quality Component: R-squared values weight the signal strength, with higher correlation indicating more reliable trend conditions
3. Examples: Preconfigured Settings
Default: Universally applicable configuration balanced for medium-term investing and general trading across multiple timeframes and asset classes.
Scalping: Highly responsive setup with shorter period and higher steepness for ultra-short-term trades on 1-15 minute charts, optimized for quick momentum shifts.
Swing Trading: Extended period with moderate steepness and increased smoothing for multi-day positions, designed to filter noise while capturing larger price swings on 1-4 hour and daily charts.
Trend Following: Maximum smoothing with lower steepness for established trend identification, generating fewer but more reliable signals optimal for daily and weekly timeframes.
Mean Reversion: Shorter period with high steepness for counter-trend strategies, more sensitive to extreme moves and reversal opportunities in ranging market conditions.
Xcalibur Signals & Alerts [AlgoXcalibur]An advanced trend-following algorithm forged to empower retail traders with an edge.
Xcalibur Signals & Alerts is a sophisticated, multi-layered algorithm designed to consistently deliver real-time trend signals—without clutter or unnecessary complexity. The system combines refined trend-following logic with breakout detection, flat-market filtration, false signal failsafes, take profit cues, live alerts, and more — all in a visually simple, easy-to-use indicator built for all assets, timeframes, and market conditions.
🧠 Algorithm Logic
Xcalibur Signals & Alerts operates on a systematic framework that evaluates multiple technical dimensions in harmony—directional alignment, momentum confirmation, relative strength, volume bias, breakout detection, Fibonacci calculations, and more. Rather than reacting to isolated triggers, it filters every opportunity through a multi-layered confirmation engine. It doesn’t just react to every move—it evaluates them. This cohesive approach ensures that each signal results from aligned conditions—not arbitrary thresholds. By combining structural awareness with adaptive filtering, Xcalibur maintains clarity and consistency across a wide range of market environments—delivering actionable signals without unnecessary noise or lag.
⚙️ User-Adjustable Features
• Adjustable Sensitivity:
Choose from 5 pre-tuned Signal Trigger Settings and 3 dynamic Confirmation Filter Modes to tailor the system to your trading style, asset, and timeframe. Candle color reflects the active trigger condition, while an adaptive cyan line displays the selected Confirmation Filter—blocking signals until the filter threshold is crossed.
• Directional Stability Filter: When enabled, this filter uses mean-reversion calculations to determine directional bias and block unreliable signals during choppy, indecisive price action. A magenta line represents this filter threshold and provides higher-confidence signals during periods of low directional conviction.
• Pullback Allowance Filter:
When enabled, this unique filter uses Fibonacci ratios to deliberately block signals from temporary pullbacks during strong trend periods. A green (uptrend) or red (downtrend) line marks the active pullback allowance zone.
• False Signal Failsafe
:
Two selectable modes:
Simple — Cancels the signal if price breaks the signal candle’s high or low.
Advanced — Requires both a price break and opposing momentum confirmation.
When triggered, the system plots a white “X” signal, turns candles gray, disables the background color, sends an alert (if enabled), and enters standby mode until a valid trend condition re-emerges.
• Reaction Zones:
Identifies probable reversal or breakout zones based on recent price action patterns. A yellow line appears when active, with a yellow caution flag plotted if the price reaches this critical area.
• Take-Profit Cues
: Automatically detects potential trend exhaustion using price action structure and momentum shifts. When triggered, a visual “TP” marker is plotted—advising traders to manage profits or prepare for a possible reversal.
• Trailing Stop:
Plots a dynamic, percentage-based trailing stop or trailing take-profit using your selected input. Adjust it to suit your risk tolerance and asset.
• Multi-Timeframe Monitor
: Displays real-time trend direction across 1m, 2m, 5m, 15m, 1H, 4H, and 1D timeframes in a compact, easy-to-read table.
• Alert System
:
Receive desktop and/or mobile alerts for:
* New trend signals
* Failsafe triggers
* 9:00 AM Morning Greeting messages with auto re-arming confirmation
(Alerts are limited to 9:00 AM – 4:00 PM Eastern Time)
• SuperCandles
: Highlights strong momentum moves with a stunning and easily recognizable glow effect.
• Color-Coded Candles & Background
: Candles reflect the current trigger condition, while the background tint tracks the most recent trend—enhancing situational awareness.
*All input settings include tooltips to guide users through setup and interpretation.
⚔️ Not Just Another Signal Tool
Xcalibur Signals & Alerts was built from the ground up to empower retail traders with access to a cohesive, structured algorithmic system—one that reflects the kind of awareness, discipline, and market adaptability found in professional-grade algorithms.
This is not another oversensitive or under-responsive signal indicator that is limited to one specific type of market condition or trader. It does not utilize hyperactive triggers, rely on lagging crossover logic, or need infinitely adjustable and complex sensitivity settings. Instead of cluttered visuals to interpret, this indicator delivers a simple, easy-to-use tool—prioritizing clarity and usability without compromising on depth and sophistication.
Whether the market is trending, breaking out, or moving sideways, Xcalibur adapts—prioritizing trend stability, directional integrity, and visual clarity from one signal to the next.
⚠️ While the Xcalibur Signals & Alerts algorithm is immune to human emotion, you are not. Be mindful not to fall victim to costly emotions that can manipulate your judgment, and understand the unpredictable and complex nature of trading. No algorithm, strategy, or technique can deliver perfect accuracy, and Xcalibur Signals & Alerts is no exception. While AlgoXcalibur strives to be as accurate as possible, incorrect signals can and will occur. Xcalibur Signals & Alerts is a tool, not a guarantee. Users are fully responsible for making their own trading decisions, implementing proper risk management, and always trading responsibly.
🛡️ Wield Xcalibur as a standalone weapon or use it alongside other tools.
🔐 To get access or learn more, visit the Author’s Instructions section.
Momentum Trail Oscillator [AlgoAlpha]🟠 OVERVIEW
This script builds a Momentum Trail Oscillator designed to measure directional momentum strength and dynamically track shifts in trend bias using a combination of smoothed price change calculations and adaptive trailing bands. The oscillator aims to help traders visualize when momentum is expanding or contracting and to identify transitions between bullish and bearish conditions.
🟠 CONCEPTS
The core idea combines two methods. First, the script calculates a normalized momentum measure by smoothing price changes relative to their absolute values, which creates a bounded oscillator that highlights whether moves are directional or choppy. Second, it uses a trailing band mechanism inspired by volatility stops, where bands adapt to the oscillator’s volatility, adjusting the thresholds that define a shift in directional bias. This dual approach seeks to address both the magnitude and persistence of momentum, reducing false signals in ranging markets.
🟠 FEATURES
The momentum calculation applies Hull Moving Averages and double EMA smoothing to price changes, producing a smooth, responsive oscillator.
The trailing bands are derived by offsetting a weighted moving average of the oscillator by a multiple of recent momentum volatility. A directional state variable tracks whether the oscillator is above or below the bands, updating when the momentum crosses these dynamic thresholds.
Overbought and oversold zones are visually marked between fixed levels (+30/+40 and -30/-40), with color fills to highlight when momentum is in extreme areas. The script plots signals on both the oscillator pane and optionally overlays markers on the main price chart for clarity.
🟠 USAGE
To use the indicator, apply it to any symbol and timeframe. The “Oscillator Length” controls how sensitive the momentum line is to recent price changes—lower values react faster, higher values smooth out noise. The “Trail Multiplier” sets how far the adaptive bands sit from the oscillator mid-line, which affects how often trend state changes occur. When the momentum line rises into the upper filled area and then crosses back below +40, it signals potential overbought exhaustion. The opposite applies for the oversold zone below -40. The plotted trailing bands switch visibility depending on the current directional state: when momentum is trending up, the lower band acts as the active trailing stop, and when trending down, the upper band becomes active. Trend changes are marked with circular symbols when the direction variable flips, and optional overlay arrows appear on the price chart to highlight overbought or oversold reversals. Traders can combine these signals with their own price action or volume analysis to confirm entries or exits.
Global Risk Matrix [QuantAlgo]🟢 Overview
The Global Risk Matrix is a comprehensive macro risk assessment tool that aggregates multiple global financial indicators into a unified risk sentiment framework. It transforms diverse economic data streams (from currency strength and liquidity measures to volatility indices and commodity prices) into standardized Z-Score readings to identify market regime shifts across risk-on and risk-off conditions.
The indicator displays both a risk oscillator showing weighted average sentiment and a dynamic 2D matrix visualization that plots signal strength against momentum to reveal current market phase and historical evolution. This helps traders and investors understand broad market conditions, identify regime transitions, and align their strategies with prevailing macro risk environments across all asset classes.
🟢 How It Works
The indicator employs Z-Score normalization across various global macro components, each representing distinct aspects of market liquidity, sentiment, and economic health. Raw data from sources like DXY, S&P 500, Fed liquidity, global M2 money supply, VIX, and commodities undergoes statistical standardization. Several components are inverted (USDT.D, DXY, VIX, credit spreads, treasury bonds, gold) to align with risk-on interpretation, where positive values indicate bullish conditions.
This unique system applies configurable weights to each component based on selected asset class presets (Crypto Investor/Trader, Stock Trader, Commodity Trader, Forex Trader, Risk Parity, or Custom), creating a weighted average Z-Score. It then analyzes both signal strength and momentum direction to classify market conditions into four distinct phases: Risk-On (positive signal, rising momentum), Risk-Off (negative signal, falling momentum), Recovery (negative signal, rising momentum), and Weakening (positive signal, falling momentum). The 2D matrix visualization plots these dimensions with historical trail tracking to show regime evolution over time.
🟢 How to Use
1. Risk Oscillator Interpretation and Phase Analysis
Positive Territory (Above Zero) : Indicates risk-on conditions with capital flowing toward growth assets and higher risk tolerance
Negative Territory (Below Zero) : Signals risk-off sentiment with capital seeking safety and defensive positioning
Extreme Levels (±2.0) : Represent statistically significant deviations that often precede regime reversals or trend exhaustion
Zero Line Crosses : Mark critical transitions between risk regimes, providing early signals for portfolio rebalancing
Phase Color Coding : Green (Risk-On), Red (Risk-Off), Blue (Recovery), Yellow (Weakening) for immediate regime identification
2. Risk Matrix Visualization and Trail Analysis
Current Position Marker (⌾) : Shows real-time location in the risk/momentum space for immediate situational awareness
Historical Trail : Connected path showing recent market evolution and regime transition patterns
Quadrant Analysis : Risk-On (upper right), Risk-Off (lower left), Recovery (lower right), Weakening (upper left)
Trail Patterns : Clockwise rotation typically indicates healthy regime cycles, while erratic movement suggests uncertainty
3. Pro Tips for Trading and Investing
→ Portfolio Allocation Filter : Use Risk-On phases to increase exposure to growth assets, small caps, and emerging markets while reducing defensive positions during confirmed green phases
→ Entry Timing Enhancement : Combine Recovery phase signals with your technical analysis for optimal long entry points when macro headwinds are clearing but prices haven't fully recovered
→ Risk Management Overlay : Treat Weakening phase transitions as early warning systems to tighten stop losses, reduce position sizes, or hedge existing positions before full Risk-Off conditions develop
→ Sector Rotation Strategy : During Risk-On periods, favor cyclical sectors (technology, consumer discretionary, financials) while Risk-Off phases favor defensive sectors (utilities, consumer staples, healthcare)
→ Multi-Timeframe Confluence : Use daily matrix readings for strategic positioning while applying your regular technical analysis on lower timeframes for precise entry and exit execution
→ Divergence Detection : Watch for situations where your asset shows bullish technical patterns while the matrix shows Risk-Off conditions—these often provide the highest probability short opportunities and vice versa
Stochastic SuperTrend [BigBeluga]🔵 OVERVIEW
A hybrid momentum-trend tool that combines Stochastic RSI with SuperTrend logic to deliver clean directional signals based on momentum turns.
Stochastic SuperTrend is a straightforward yet powerful oscillator overlay designed to highlight turning points in momentum with high clarity. It overlays a SuperTrend-style envelope onto the Stochastic RSI, generating intuitive up/down signals when a momentum shift occurs across the neutral 50 level. Built for traders who appreciate simplicity without sacrificing reliability.
🔵 CONCEPTS
Stochastic RSI: Measures momentum by applying stochastic calculations to the RSI curve instead of raw price.
SuperTrend Bands: Dynamic upper/lower bands are drawn around the smoothed Stoch RSI line using a user-defined multiplier.
Momentum Direction: Trend flips when the smoothed Stoch RSI crosses above/below the calculated bands.
Neutral Bias Filter: Directional arrows only appear when momentum turns above or below the central 50 level—adding confluence.
🔵 FEATURES
Trend Detection on Oscillator: Applies SuperTrend logic directly to the Stoch RSI curve.
Clean Entry Signals:
→ 🢁 arrow printed when trend flips bullish below 50 (bottom reversals).
→ 🢃 arrow printed when trend flips bearish above 50 (top reversals).
Custom Multiplier: Adjust sensitivity of SuperTrend band spacing around the oscillator.
Neutral Zone Highlight: Visual zone between 0–50 (green) and 50–100 (red) for quick momentum polarity reference.
Toggle SuperTrend Line: Option to show/hide the SuperTrend trail on the Stoch RSI.
🔵 HOW TO USE
Use 🢁 signals for potential bottom reversals when momentum flips bullish from oversold regions.
Use 🢃 signals for potential top reversals when momentum flips bearish from overbought areas.
Combine with price-based SuperTrend or support/resistance zones for confluence.
Suitable for scalping, swing trading, or momentum filtering across all timeframes.
🔵 CONCLUSION
Stochastic SuperTrend is a simple yet refined tool that captures clean momentum shifts with directional clarity. Whether you're identifying reversals, filtering entries, or spotting exhaustion in a trend, this oscillator overlay delivers just what you need— no clutter, just clean momentum structure.
Expanded Cloud [LuxAlgo]The Expanded Cloud tool allows traders to identify and follow trends accurately. It is based on the well-known Donchian Channels, but with enhanced features.
It features a trailing cloud that expands with the price and a trading stats dashboard.
🔶 USAGE
The tool is super easy to use. Traders can identify bigger or smaller trends just by adjusting the length from the settings panel.
Trend identification is based on Donchian Channels. An uptrend is indicated when the cloud is located below the price, while a downtrend is indicated when the cloud is above it.
Dots signal the start of a new trend, and the width of the clouds identifies the strength of the price expansion. The wider the cloud, the bigger the move.
The expanded cloud, due to its visual, can also act as a trailing stop.
🔹 Trend Identification
As we can see in the chart above, different length values identify different trends on the same BTC daily chart. Larger values identify larger trends.
🔹 Cloud Expansion
From the settings panel, traders can adjust how the clouds expand based on the Expansion % parameter. It accepts values from 0 to 100, which controls how much of the expansion is taken into account. Higher values will make the cloud expand and get closer to the price faster.
When the cloud moves opposite to the direction of the indicated trend (e.g: the cloud decreases while being below the price), it is often indicative of the end of a retracement, and we can expect the price to move with the indicated trend.
The chart above shows the effect of different Expansion % values.
🔹 Dashboard
The trading statistics dashboard informs traders of key metrics derived from the tool. The following are notable:
PNL: Theoretical profit or loss from all trends identified by the tool in the right scale units.
EXPECT.: Expected value of each trade. It is derived from win rate and risk-to-reward metrics.
AVG: 1st TOUCH: The average number of bars from the beginning of a new trend until the price touches the cloud for the first time.
🔶 SETTINGS
Length: Length for trend detection
Expansion %: Percentage of price expansion for cloud formation
Source: Source of the data
🔹 Dashboard
Show Dashboard: Enable/disable the statistics dashboard
Location: Dashboard location
Size: Dashboard size
Intraday BUY/SELL & AUTO SL (5-min timeframe only) by chaitu50c)Intraday BUY/SELL & AUTO SL (5-min timeframe only) by chaitu50c
This indicator provides intraday traders with BUY/SELL reversal signals and automated SL (Stoploss) tracking, based on a 3-candle reversal block logic — designed to work exclusively on the 5-min timeframe.
Key Features:
• 3-Candle Reversal Logic — Signals are generated when a defined 3-candle reversal pattern is detected (body-close breakout).
• Current Session Only — All signals and SL lines are valid only for the current session and automatically reset at session start.
• BUY/SELL Signal Labels — Visual ▲ and ▼ labels mark valid reversal signals on the chart.
• Dynamic Auto SL Lines — Plots dashed SL lines based on the reversal block's low/high.
• SL HIT Tracking — If SL is broken, the line stops extending and a ‘SL HIT’ label is displayed at the midpoint of the SL line.
• Adjustable Visual Settings — Customize signal label size, SL line width, colors, and more.
• Clean & Lightweight — Optimized for intraday use without cluttering the chart.
How to Use:
You can trade this indicator in two ways:
1. Direct Signal Entry — Take a BUY or SELL trade when a valid ▲/▼ reversal signal forms.
2. SL HIT Re-entry — If an existing SL line is broken and ‘SL HIT’ appears, you can optionally take an opposite side trade in the direction of the SL HIT.
Example:
A BUY signal is generated and an SL line is plotted below.
If price breaks the SL (SL HIT appears), you may consider entering a SELL trade at that point — as it indicates weakness.
Important Notes:
• Works only on 5-min timeframe — Set your chart to 5-min for correct behavior.
• Designed for intraday trading — all signals and SL levels reset at session start.
• Does not carry signals between sessions.
• SL lines and HIT labels provide a clear and simple visual aid for trade management.
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Volatility-Adjusted Momentum Score (VAMS) [QuantAlgo]🟢 Overview
The Volatility-Adjusted Momentum Score (VAMS) measures price momentum relative to current volatility conditions, creating a normalized indicator that identifies significant directional moves while filtering out market noise. It divides annualized momentum by annualized volatility to produce scores that remain comparable across different market environments and asset classes.
The indicator displays a smoothed VAMS Z-Score line with adaptive standard deviation bands and an information table showing real-time metrics. This dual-purpose design enables traders and investors to identify strong trend continuation signals when momentum persistently exceeds normal levels, while also spotting potential mean reversion opportunities when readings reach statistical extremes.
🟢 How It Works
The indicator calculates annualized momentum using a simple moving average of logarithmic returns over a specified period, then measures annualized volatility through the standard deviation of those same returns over a longer timeframe. The raw VAMS score divides momentum by volatility, creating a risk-adjusted measure where high volatility reduces scores and low volatility amplifies them.
This raw VAMS value undergoes Z-Score normalization using rolling statistical parameters, converting absolute readings into standardized deviations that show how current conditions compare to recent history. The normalized Z-Score receives exponential moving average smoothing to create the final VAMS line, reducing false signals while preserving sensitivity to meaningful momentum changes.
The visualization includes dynamically calculated standard deviation bands that adjust to recent VAMS behavior, creating statistical reference zones. The information table provides real-time numerical values for VAMS Z-Score, underlying momentum percentages, and current volatility readings with trend indicators.
🟢 How to Use
1. VAMS Z-Score Bands and Signal Interpretation
Above Mean Line: Momentum exceeds historical averages adjusted for volatility, indicating bullish conditions suitable for trend following
Below Mean Line: Momentum falls below statistical norms, suggesting bearish conditions or downward pressure
Mean Line Crossovers: Primary transition signals between bullish and bearish momentum regimes
1 Standard Deviation Breaks: Strong momentum conditions indicating statistically significant directional moves worth following
2 Standard Deviation Extremes: Rare momentum readings that often signal either powerful breakouts or exhaustion points
2. Information Table and Market Context
Z-Score Values: Current VAMS reading displayed in standard deviations (σ), showing how far momentum deviates from its statistical norm
Momentum Percentage: Underlying annualized momentum displayed as percentage return, quantifying the directional strength
Volatility Context: Current annualized volatility levels help interpret whether VAMS readings occur in high or low volatility environments
Trend Indicators: Directional arrows and change values provide immediate feedback on momentum shifts and market transitions
3. Strategy Applications and Alert System
Trend Following: Use sustained readings beyond the mean line and 1σ band penetrations for directional trades, especially when VAMS maintains position in upper or lower statistical zones
Mean Reversion: Focus on 2σ extreme readings for contrarian opportunities, particularly effective in sideways markets where momentum tends to revert to statistical norms
Alert Notifications: Built-in alerts for mean crossovers (regime changes), 1σ breaks (strong signals), and 2σ touches (extreme conditions) help monitor multiple instruments for both continuation and reversal setups
BeeQuant - Hive Visualizer💠 OVERVIEW
The " Hive Visualizer " is a game-changing, invite-only tool, expertly designed to give every trader, from beginner to experienced, instant and clear visual clues about what price is doing. Its main job is to easily show you the highest and lowest points price has reached recently. Think of it as a smart, automated helper that colors your candles to reveal powerful market moves. This helps you quickly see if prices are getting stronger or weaker right on your chart. It's a groundbreaking, high-quality tool that cuts through the noise, making it simple to spot key moments when the market is about to make a big move up or down, giving you an edge.
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🧠 CONCEPTS
The core philosophy behind Hive Visualizer is rooted in contextual volatility exposure and directional bias reinforcement. Through a sophisticated internal mechanism that evaluates local maxima/minima behavior within a compact temporal field, the indicator provides adaptive color‑based candle transitions that align with latent directional pressure.
1. Uses localized equilibrium breach detection to monitor directional intent and exhaustion points.
2. Embeds a dynamically updating framework that reacts to both trend continuation and structural reversals.
3. Avoids false positives by disregarding noisy fluctuations below system‑defined relevance thresholds.
4. Provides non‑repainting, fully forward‑confirmed visual outputs for reliable retrospective analysis.
Hive Visualizer is not designed to be predictive. Instead, it allows traders to observe the evolution of price structure in a cleaner and more digestible format, supporting high-confidence discretionary execution or automated model overlays.
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✨ FEATURES
The "Hive Visualizer" comes with a suite of smart features, all designed for amazing clarity, quick reactions, and deeper understanding, making your charting experience truly effortless:
🔹 Easy Range Customization
A super easy "Smoother" setting lets you perfectly adjust how the indicator reacts to recent price changes. This means you can fine-tune it to match exactly how you like to trade
🔹 Instant, Clear Signals
The simple Green and Red candles give you immediate, unmistakable visual cues about strong upward or downward moves, providing insights you can grasp in a heartbeat.
🔹 Smart Continuity in Quiet Times
The clever way it keeps the same color for candles that aren't breaking out offers valuable, subtle insights into those periods when the market is just moving sideways or finding its balance, helping you see the hidden dynamics.
🔹 Seamless Chart Integration
This indicator works like a transparent overlay, appearing directly on your price chart without getting in the way or changing your original candles. It fits perfectly, making your analysis smooth and uninterrupted.
🔹 Clean and Focused Visuals
The indicator’s simple design focuses only on coloring the main candle body and border to clearly highlight important breakouts. This keeps your chart clean and effective, showing you only what truly matters.
🔹 Cross-Market Versatility
This indicator is engineered to perform with precision across all major markets—whether you're trading forex, commodities, stocks, or indices. Its adaptive logic automatically aligns with the unique volatility and structure of each asset class, delivering consistently reliable insights no matter where you trade.
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⚙️ USAGE
Using and making the "Hive Visualizer" a part of your trading routine is incredibly simple and designed to significantly boost how you understand the market:
Getting Started: Once you have access, just add the "Hive Visualizer" indicator to any chart and timeframe you want on TradingView. It's that easy.
Tuning the "Smoother" Setting: Go into the indicator's settings and play with the "Smoother" number. This is a crucial step to make it react just right for you.
Smaller numbers (like 1-3 bars) will make the indicator very quick to react to the most recent, short-term ups and downs, perfect for fast trading.
Larger numbers (like 5-10+ bars) will give you a wider view, smoothing out small changes and highlighting bigger, more important breakouts, ideal for longer-term analysis. Spend a little time trying different settings to find what works best for your chosen asset and your trading style – it's like finding the perfect lens for your market view.
Understanding the Colors: Once you've set it up, here's how to quickly understand what the "Hive Visualizer" is telling you: New Green Candle: This means a strong sign that buyers are in control and prices are likely to keep moving up, giving you confidence in bullish moves.
New Red Candle: This indicates as a strong signal that sellers are dominating and prices are likely to keep moving down, preparing you for bearish shifts.
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⚠️ LIMITATIONS
👉 Visual Guide, Not a Bot: Use as part of a broader strategy—it won’t auto‑trade for you
👉 Retroactive Insight: It reflects past price action; it doesn’t predict the future.
👉 Setting‑Dependent: Effectiveness relies on your “Smoother” choice—too low = noise; too high = lag.
👉 Price‑Range Focused: Highlights trends and range only — doesn’t analyze volume, news, or other complex factors.
👉 This tool enhances trend validation but isn’t a standalone signal generator.
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🎯 CONCLUSION
The "Hive Visualizer" offers an incredibly easy-to-use and adaptable way to see price strength and weakness with crystal clarity on your charts. By giving you instant, clear feedback on whether prices are powerfully breaking out or falling below a recent historical range, it truly empowers you to quickly understand market momentum and spot key turning points. Seamlessly add this smart visual tool into your current trading methods to gain a sharper, more insightful view, and elevate your trading decisions. It's about seeing the market with new eyes.
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🚨 RISK DISCLAIMER
Engagement in financial market speculation inherently carries a substantial degree of inherent risk, and the potential for capital diminution, potentially exceeding initial deposits, is a pervasive and non-trivial consideration. All content, algorithmic tools, scripts, articles, and educational materials disseminated by "Hive Visualizer" are exclusively purposed for informational and pedagogical objectives, strictly for reference. Historical performance data, whether explicitly demonstrated or implicitly suggested, offers no infallible assurance or guarantee of future outcomes. Users bear sole and ultimate accountability for their individual trading decisions and are emphatically urged to meticulously assess their financial disposition, risk tolerance parameters, and conduct independent due diligence prior to engaging in any speculative market activity.
Rolling Z-Score Trend [QuantAlgo]🟢 Overview
The Rolling Z-Score Trend measures how far the current price deviates from its rolling mean in terms of standard deviations. It transforms price data into standardized scores to identify overbought and oversold conditions while tracking momentum shifts.
The indicator displays a Z-Score line showing price deviation from statistical norms, with background momentum columns showing the rate of change in these deviations. This helps traders and investors identify mean reversion opportunities and momentum shifts across different asset classes and timeframes.
🟢 How It Works
The indicator uses the Z-Score formula: Z = (X - μ) / σ, where X is the current closing price, μ is the rolling mean, and σ is the rolling standard deviation over a user-defined lookback period. This creates a dynamic baseline that adapts to changing market conditions and standardizes price movements for interpretation across different assets and volatility conditions. The raw Z-Score undergoes 3-period EMA smoothing to reduce noise while maintaining responsiveness to market signals.
Beyond the basic Z-Score calculation, the indicator measures the rate of change in Z-Score values between successive bars, displayed as background momentum columns. This momentum component shows acceleration and deceleration of statistical deviations. All calculations are processed through confirmation filters, displaying signals only on confirmed bars to reduce premature signals based on incomplete price action.
🟢 How to Use
1. Z-Score Interpretation and Threshold Zones
Positive Values (Above Zero) : Price trading above statistical mean, suggesting bullish momentum or potential overbought conditions
Negative Values (Below Zero) : Price trading below statistical mean, suggesting bearish momentum or potential oversold conditions
Zero Line Crosses : Signal transitions between statistical regimes and potential trend changes
Upper Threshold Zone : Area above entry threshold (default 1.5) indicating potential overbought conditions
Lower Threshold Zone : Area below negative entry threshold (default -1.5) indicating potential oversold conditions
Extreme Values (±2.0 or higher) : Statistically significant deviations that may indicate reversal opportunities
2. Momentum Background Analysis and Info Table
Green Columns : Accelerating positive momentum in Z-Score values
Red Columns : Accelerating negative momentum in Z-Score values
Column Height : Magnitude of momentum change between bars
Momentum Divergence : When columns contradict primary Z-Score direction, often signals impending reversals
Info Table : Displays real-time numerical values for both Z-Score and momentum, including trend direction indicators and bar-to-bar change calculations for position management
3. Preconfigured Settings
Default : Balanced performance across multiple timeframes and asset classes for general trading and medium-term position management.
Scalping : Responsive setup for ultra-short-term trading on 1-15 minute charts with frequent signals and increased sensitivity to quick price movements.
Swing Trading : Optimized for multi-day positions with noise filtering, focusing on larger price swings. Most effective on 1-4 hour and daily timeframes.
Trend Following : Maximum smoothing that prioritizes established trends over short-term volatility. Generates fewer signals for daily and weekly charts.
Consolidation Zones[RanaAlgo]Overview
This indicator helps traders identify price consolidation zones (ranges) and potential breakouts in the market. It is useful for spotting periods of low volatility before significant price movements.
How It Works
Detects Consolidation Zones
Uses the ADX (Average Directional Index) to determine when the market is in a consolidation phase .
When ADX is below the threshold , the indicator marks the start of a consolidation zone.
Draws a semi-transparent box around the price range, adjusting its height as new highs/lows form.
Tracks Breakouts
When price breaks above/below the consolidation box, it signals a potential trend continuation.
Displays breakout arrows/labels (configurable shape & style) when price exits the range.
Visual Features
Boxes highlight consolidation areas (customizable color, border, and style).
Labels show real-time status ("CONSOLIDATING" or "TRENDING").
Breakout signals appear as arrows or shapes (up/down).
Usefulness in Trading
Range Trading: Helps traders identify sideways markets for buying low and selling high.
Breakout Trading: Signals potential trend entries when price exits consolidation.
Trend Confirmation: Low ADX + consolidation box = weak trend; breakout = possible trend start.
Example: If price stays in a blue box (consolidation) and then breaks above with an arrow, it suggests a bullish move.
Trend Flow Trail [AlgoAlpha]OVERVIEW
This script overlays a custom hybrid indicator called the Money Flow Trail which combines a volatility-based trend-following trail with a volume-weighted momentum oscillator. It’s built around two core components: the AlphaTrail—a dynamic band system influenced by Hull MA and volatility—and a smoothed Money Flow Index (MFI) that provides insights into buying or selling pressure. Together, these tools are used to color bars, generate potential reversal markers, and assist traders in identifying trend continuation or exhaustion phases in any market or timeframe.
CONCEPTS
The AlphaTrail calculates a volatility-adjusted channel around price using the Hull Moving Average as the base and an EMA of range as the spread. It adaptively shifts based on price interaction to capture trend reversals while avoiding whipsaws. The direction (bullish or bearish) determines both the band being tracked and how the trail locks in. The Money Flow Index (MFI) is derived from hlc3 and volume, measuring buying vs selling pressure, and is further smoothed with a short Hull MA to reduce noise while preserving structure. These two systems work in tandem: AlphaTrail governs directional context, while MFI refines the timing.
FEATURES
Dynamic AlphaTrail line with regime switching logic that controls directional bias and bar coloring.
Smoothed MFI with gradient coloring to visually communicate pressure and exhaustion levels.
Overbought/oversold thresholds (80/20), mid-level (50), and custom extreme zones (90/10) for deeper signal granularity.
Built-in take-profit signal logic: crossover of MFI into overbought with bullish AlphaTrail, or into oversold with bearish AlphaTrail.
Visual fills between price and AlphaTrail for clearer confirmation during trend phases.
Alerts for regime shifts, MFI crossovers, trail interactions, and bar color regime changes.
USAGE
Add the indicator to any chart. Use the AlphaTrail plot to define trend context: bullish (trailing below price) or bearish (trailing above). MFI values give supporting confirmation—favor long setups when MFI is rising and above 50 in a bullish regime, and shorts when MFI is falling and below 50 in a bearish regime. The colored fills help visually track strength; sharp changes in MFI crossing 80/20 or 90/10 zones often precede pullbacks or reversals. Use the plotted circles as optional take-profit signals when MFI and trend are extended. Adjust AlphaTrail length/multiplier and MFI smoothing to better match the asset’s volatility profile.
Fibonacci Entry Bands [AlgoAlpha]OVERVIEW
This script plots Fibonacci Entry Bands, a trend-following and mean-reversion hybrid system built around dynamic volatility-adjusted bands scaled using key Fibonacci levels. It calculates a smoothed basis line and overlays multiple bands at fixed Fibonacci multipliers of either ATR or standard deviation. Depending on the trend direction, specific upper or lower bands become active, offering a clear framework for entry timing, trend identification, and profit-taking zones.
CONCEPTS
The core idea is to use Fibonacci levels—0.618, 1.0, 1.618, and 2.618—as multipliers on a volatility measure to form layered price bands around a trend-following moving average. Trends are defined by whether the basis is rising or falling. The trend determines which side of the bands is emphasized: upper bands for downtrends, lower bands for uptrends. This approach captures both directional bias and extreme price extensions. Take-profit logic is built in via crossovers relative to the outermost bands, scaled by user-selected aggressiveness.
FEATURES
Basis Line – A double EMA smoothing of the source defines trend direction and acts as the central mean.
Volatility Bands – Four levels per side (based on selected ATR or stdev) mark the Fibonacci bands. These become visible only when trend direction matches the side (e.g., only lower bands plot in an uptrend).
Bar Coloring – Bars are shaded with adjustable transparency depending on distance from the basis, with color intensity helping gauge overextension.
Entry Arrows – A trend shift triggers either a long or short signal, with a marker at the outermost band with ▲/▼ signs.
Take-Profit Crosses – If price rejects near the outer band (based on aggressiveness setting), a cross appears marking potential profit-taking.
Bounce Signals – Minor pullbacks that respect the basis line are marked with triangle arrows, hinting at continuation setups.
Customization – Users can toggle bar coloring, signal markers, and select between ATR/stdev as well as take-profit aggressiveness.
Alerts – All major signals, including entries, take-profits, and bounces, are available as alert conditions.
USAGE
To use this tool, load it on your chart, adjust the inputs for volatility method and aggressiveness, and wait for entries to form on trend changes. Use TP crosses and bounce arrows as potential exit or scale-in signals.
