(STC) with Buy/Sell
PS! This is ment to be used as compliment and confirmation for indicator "UT Bot + LinReg Candles (Dual Sensitivity) by PDK1977
Schaff Trend Cycle (STC) Oscillator with Buy/Sell Signals
The Schaff Trend Cycle (STC) is a fast and reliable oscillator developed by Doug Schaff, designed to improve on traditional cycle indicators like MACD and Stochastic. The STC indicator helps you identify trend direction, potential reversals, and entry/exit points with greater speed and accuracy.
Key Features:
Clear, Color-Coded Line: The STC line turns green when rising and red when falling, making trend changes easy to spot.
Buy/Sell Signals:
Buy: When the STC line crosses up over the 25 level, a green triangle appears, suggesting bullish momentum.
Sell: When the STC line crosses down under the 75 level, a red triangle appears, highlighting potential bearish momentum.
Levels: 25 and 75 are highlighted to mark overbought and oversold regions.
Separate Pane: Designed to be displayed in its own subwindow below the main chart, keeping your price action clean and uncluttered.
How to Use:
Buy Signal: Watch for the STC to cross above 25 for possible long entries.
Sell Signal: Watch for the STC to cross below 75 for possible short entries.
The indicator works on all timeframes and is suitable for trending markets, swing trading, and scalping strategies.
Tip: Combine STC signals with other trend or volume indicators for added confirmation and more robust trading decisions.
震盪指標
Gabriel's Relative Strength IndexGabriel’s RSI—The Reinvention of Relative Strength
Not your average RSI.
This is a fully reengineered Relative Strength Index that merges the power of advanced signal processing, adaptive smoothing, volume dynamics, and intelligent divergence detection into a single, modular toolkit designed for precision trading across all markets.
Whether you’re scalping crypto, swing trading equities, or dissecting futures contracts—Gabriel’s RSI adapts to your strategy with unrivaled control and clarity.
1. RSI Settings
RSI Length (Jurik): Set to 51 by default to mimic a 21-period standard RSI when Jurik smoothing is applied. Adjust lower (e.g., 22) to mimic a 9-period RSI.
RSI Source: The default is hlc3 for smoother RSI inputs. Can be changed to any price-based series (close, open, etc.) for customization.
2. RSI Smoothing Options
MA Type: Smoothing applies to both RSI and its MA overlay simultaneously. I used to use the 56 EMA RSI, and it works well too.
JMA: Best for adaptive recursive smoothing. A power of 2 and a phase of 50 are used.
T3: Smooth and lag-reduced, suitable for trend detection. The alpha is 0.7.
SMA + Bollinger Bands: Adds deviation-based envelopes for volatility spotting.
MA Length: Affects how smooth or reactive the RSI signal is.
BB StdDev: Only relevant if BBs are used. Controls bandwidth for overbought/oversold zones.
3. MACD Settings
Fast/Slow Length: Defaults (21/81) optimized for smoother MACD with SMA or T3. For Algo trading, EMA/JMA is best.
Signal Length: Shorter (e.g., 2) gives more reactive crossover signals, it can be increased.
Source: Default is close. Close works best for the settings I input.
MA Types: JMA and EMA reduce noise and increase signal generation. Select SMA for simplicity or T3 for trend-following.
Histogram: Bar colors signal strength and trend of MACD directly on your chart.
4. Directional Movement Index (DMI)
ADX Smoothing: High values (e.g., 100) offer strong trend confirmation with Hann Window smoothing.
DI Length: Affects DI+/- sensitivity. 100 ADX - 12 DI or 15 ADX - 35 DI are suggested, the latter for quicker boot time, as 100 bars is quite long.
Smoothing Type: Choose Hann Window for refined smoothing; RMA (SMMA) for simplicity.
Volatility Type: ATR includes gaps; ADR is useful for gapless strategies.
Plotted as area fills, 0 to 100 scaled.
5. Volume Z-Score
%R Length: Normalizes volume to percentile range (73 swing, 112 exhaustion).
Z-Score Lengths: Compares short-term and long-term volume trends with Z-scores of volume.
Fast Z-Score < Slow Z-Score = Gives a Volume Squeeze.
Fast MA > Slow MA = Bullish Volume Divergence; volume has been fired. Not via Z-score, but instead via SMA, ALMA, and RMA of volume.
WPR Volume: Weighted %R used to highlight exhaustion/pivot points.
Plot volume bars after a volume squeeze has been fired; if bars aren't plotted, then it's under squeeze. Backtest on ES1! Prove it's good for catching bottoms below 15 minutes as well.
6. Divergence Engine
Pivot Settings: Pivot Period (12), Divergence minval Lookback (5), and max Lookback Bars (100) control sensitivity. Works well on any asset class; these are the optimal settings for the RSI.
Source Options: RSI, MACD, ADX, DI difference, or Volume %R.
Divergence Type:
Regular: Classic reversal signals.
Hidden: Continuation signals.
Heikin Ashi Mode: Enables use of HA candles on normal charts for smoother pivots. May distort values if your chart is H.A. so leave it unchecked then.
7. Squeeze Momentum (SQZMOM)
Squeeze Types:
Wide (Black): Regular compression
Normal (Red), Regular Squeeze
Narrow (Yellow), Golden Squeeze
Very Narrow (Purple) Extreme compression
Fired (Green): Breakout detected
Plotted as circles on the bottom of my indicator.
Momentum Bar Colors:
Cyan: Rising momentum
Blue: Pullback within uptrend
Red: Falling momentum
Yellow: Correction within downtrend
Reversal Lines: Dashed lines indicate momentum crossing its Jurik MA (DM-Style Pivots).
Plotted as squares on the top of my indicator.
8. Rate of Change (RoC)
RoC of Momentum: EMA-smoothed RoC on momentum for leading signals. Double smoothed, once and then another time for smoother signals.
Signal Line: JMA used to filter noise and generate reversal signals.
Crossovers: Bullish/bearish signals based on RoC vs signal line are plotted as triangles directly on your chart.
Optimized: Backtested for short-term setups like 1H or faster. Works on Daily timeframes as well for Futures.
9. Multi-Timeframe Squeeze Settings
Each timeframe (Hourly, 4H, Daily, Weekly, Monthly) has:
Reversal Toggle: Enables dashed line DM-Style Pivots on crossovers.
MA Length: For Jurik MA smoothing on momentum.
BB/KC Thresholds: Define squeeze sensitivity per timeframe. A shorter BB/KC length, 17-14-12, responds better on lower timeframes.
Momentum Length: Tailors oscillator responsiveness; 20 is ideal.
10. BB Std. Deviation Scaling
Low-Pass Super Smoother : Smooths (True Range) noise for BBs.
High-Pass Butterworth : Extracts cycles for BB Stdv. blend.
Root Mean Squared : Dynamic BB width adjustment based on market activity.
11. Alerts
RSI: Overbought/oversold reversals. Several types.
MACD: Histogram shift through zero line.
DMI/ADX: Crossovers and strength conditions. The 17 key level is used for the ADX.
Volume: Smart Money alerts on low-volume zones. May concentrate on ICT sessions.
Squeeze: Alerts on all 5 squeeze states.
Momentum: Crosses and reversals.
RoC: Bullish and bearish crosses.
Divergences: Regular, hidden, combined.
12. Visual Output Summary
RSI Line + MA/BBs
MACD Histogram Bar Colors
DMI/ADX as area fills
Volume %R columns
Squeeze Momentum Shapes and Dots
RoC Crossover Arrows
DM-style Breakout Pivots
Divergence Lines and Labels
Best Practices
Watch the slope of the RSI for pullbacks on a strong trend. Combine it with squeeze for exit timing.
Combine RSI Divergence with MACD histogram cross and Squeeze firing for precise entry.
Use Volume Z-Score to filter for institutional activity, and enter Long. Watch for reversals as well.
Watch RoC crossovers for fast, leading signals.
Enable Reversal Lines on 1H+ charts for breakout or breakdown pivots.
Use multi-timeframe thresholds for swing confirmation. The TFs I use the most are 2-5-15 minutes for futures and swinging with 1 hour daily and weekly. Those are the TFs I backtested.
KT Gaussian Bands🎯 Overview
KT Gaussian Bands is an advanced technical indicator that uses Gaussian-weighted smoothing to create dynamic support and resistance bands. This sophisticated algorithm provides high-quality buy and sell signals by filtering market noise and adapting to price volatility.
🔬 How It Works
The indicator employs a Gaussian weighting function to smooth price data, creating more accurate trend detection compared to traditional moving averages. The algorithm calculates:
Dynamic Upper Band (Resistance Level)
Dynamic Lower Band (Support Level)
Adaptive Signal Generation based on price interaction with bands
📊 Key Features
✨ Smart Signal Generation
🔺 BUY Signal: When price crosses below the lower band and bounces back up
🔻 SELL Signal: When price crosses above the upper band and drops back down
Real-time arrows displayed directly on the chart
⚙️ Customizable Parameters
Bandwidth (h): Controls the smoothness of the calculation (Default: 8.0)
Multiplier: Adjusts the sensitivity of the bands (Default: 3.0)
Source: Choose your preferred price source (Default: Close)
Repainting Mode: Toggle between real-time and historical accuracy
🎨 Visual Elements
Color-coded bands (Teal for upper, Red for lower)
Clear arrow signals for entry/exit points
Clean dashboard showing current mode status
📈 Trading Applications
Best Timeframes
Works effectively on all timeframes
Particularly strong on 15M, 1H, and 4H charts
Daily charts for swing trading setups
Trading Strategies
Trend Following: Use signals in the direction of the major trend
Mean Reversion: Trade bounces off the bands in ranging markets
Breakout Confirmation: Validate breakouts with band penetration
Risk Management
Use stop-loss below/above the opposite band
Position size based on band width (wider = higher volatility)
Combine with other indicators for confirmation
⚠️ Important Notes
Repainting Mode
Enabled: Shows the most accurate current analysis (may change on live bars)
Disabled: Historical signals remain fixed (recommended for backtesting)
Best Practices
Don't trade every signal - wait for high-probability setups
Consider market context and overall trend direction
Use proper risk management on every trade
Backtest on your preferred timeframes before live trading
🔧 Settings Guide
Bandwidth (8.0): Lower = More responsive, Higher = Smoother
Multiplier (3.0): Lower = More signals, Higher = Fewer but stronger signals
Repainting: Enable for live analysis, Disable for backtesting
📊 Performance Characteristics
Low Lag: Responds quickly to price changes
Noise Reduction: Filters out false signals effectively
Adaptive: Automatically adjusts to market volatility
Versatile: Works across different market conditions
🎓 Educational Value
This indicator demonstrates advanced mathematical concepts in trading:
Gaussian distribution applications in finance
Dynamic volatility adjustment
Weighted moving average techniques
⭐ Why Choose KT Gaussian Bands?
Mathematically Sound: Based on proven statistical methods
User-Friendly: Clear signals with minimal complexity
Flexible: Adapts to your trading style and timeframe
Reliable: Consistent performance across market conditions
Disclaimer: This indicator is for educational and informational purposes only. Always use proper risk management and never risk more than you can afford to lose. Past performance does not guarantee future results.
Relative Strength Suite [BLC]📊 Relative Strength Suite
A powerful, all-in-one relative strength toolkit for traders and analysts. Whether you're a trend follower, momentum trader, or sector rotator, this script gives you the flexibility to analyze and screen assets using three distinct RS methodologies—all in one clean interface.
🔍 What It Does
Flexible Relative Strength allows you to compare any asset to a benchmark (like SP:SPX , NASDAQ:QQQ , AMEX:IWM , etc.) using one of four modes:
📈 Relative Strength – Classic price ratio comparison
📘 Dorsey Relative Strength – Smoothed trend-based RS using EMA
📒 Mansfield Relative Strength – Momentum-based RS normalized to its own average
🧮 Screener Mode – Load Indicator into Pine Screener to see all 3 values.
🛠️ Key Features & Settings
🧩 Relative Strength
Comparison Symbol: Select the ticker you want to use as a benchmark.
Highlights new highs/lows in Relative Strength with dynamic line coloring:
🟢 Green = New high (outperformance)
🔴 Red = New low (underperformance)
Optional moving average overlay (SMA, EMA, WMA, HMA) for trend smoothing.
✅ Use Case: Identify when a stock is gaining strength relative to the market or sector.
📘 2. Dorsey RS (Smoothed Trend)
Uses an EMA of the RS ratio to smooth out noise.
Rising Dorsey RS = consistent outperformance.
Falling Dorsey RS = consistent underperformance.
✅ Use Case: Spot long-term relative trends regardless of price volatility.
📒 3. Mansfield RS (Performance Momentum)
Compares RS ratio to its own long-term SMA (default 200).
Values above 0 = outperforming the benchmark.
Values below 0 = underperforming.
✅ Use Case: Ideal for momentum traders and Stan Weinstein-style stage analysis.
🧮 4. Screener Mode
Not for use on your chart. This is only to use in TradingView's Pine Screener.
Displays all three RS lines simultaneously.
Includes all 3 modes to act as screener signals
🛠️How to Use Screener Mode
Add this indicator to your favorites list.
Open Pine Screener and select this indicator.
Select your timeframe.
Click Settings & Change Strength Type to Screener > Click Apply
Hit Scan!
New High Low Signal: Finds stocks making a new RS high (1) or low (-1) over your lookback period.
Dorsey Trend Signal: Finds stocks where the smoothed RS trend is rising (1) or falling (-1).
Mansfield Zone Signal: Finds stocks where momentum is in the positive zone (1) or negative zone (-1)
✅ Use Case: Quickly scan multiple assets for relative strength breakouts, trend shifts, or momentum zones.
🧪 Pro Tip
Combine this indicator with volume, price structure, or moving averages to confirm breakouts and trend strength. Use Screener Mode on a watchlist to identify top RS candidates in seconds.
To clean up your screener table, click the column settings icon ( ⋮ ) and uncheck any columns you don't need to see. You can still filter by them even if they are hidden.
📝 Credits & Notes
Inspired by classic RS methods (including Dorsey and Mansfield).
Final, production-ready version with tooltips, labels, and screener outputs.
For educational and informational purposes—always test before live trading!
Let me know if you see any bugs, miscalculations, or any features you'd like to see added to it!
RSI Multi-Timeframe Dashboard by giua64)### Summary
This is an advanced dashboard that provides a comprehensive overview of market strength and momentum, based on the Relative Strength Index (RSI) analyzed across 6 different timeframes simultaneously (from 5 minutes to the daily chart).
The purpose of this script is to offer traders an immediate and easy-to-read summary of market conditions, helping to identify the prevailing trend direction, overbought/oversold levels, and potential reversals through divergence detection. All of this is available in a single panel, eliminating the need to switch timeframes on your main chart.
### Key Features
* **Multi-Timeframe Analysis:** Simultaneously monitors the 5m, 15m, 30m, 1H, 4H, and Daily timeframes.
* **Scoring System:** Each timeframe is assigned a score based on multiple RSI conditions (e.g., above/below 50, overbought/oversold status, direction) to quantify bullish or bearish strength.
* **Aggregated Signal:** The dashboard calculates a total percentage score and provides a clear summary signal: **LONG**, **SHORT**, or **WAIT**.
* **Divergence Detection:** Automatically identifies Bullish and Bearish divergences between price and RSI for each timeframe.
* **Non-Repainting Option:** In the settings, you can choose to base calculations on the close of the previous candle (`Use RSI on Closed Candle`). This ensures that past signals (like status and score) do not change, providing more reliable data for analysis.
* **Fully Customizable:** Users can modify the RSI period, overbought/oversold thresholds, divergence detection settings, and the appearance of the table.
### How to Read the Dashboard
The table consists of 6 columns, each providing specific information:
* **% (Total Score):**
* **Header:** Shows the overall strength as a percentage. A positive value indicates bullish momentum, while a negative value indicates bearish momentum. The background color changes based on intensity.
* **Rows:** Displays the numerical score for the individual timeframe.
* **RSI:**
* **Header:** The background color indicates the average of all RSI values. Green if the average is > 50, Red if < 50.
* **Rows:** Shows the real-time RSI value for that timeframe.
* **Signal (Status):**
* **Header:** This is the final operational signal. It turns **🟢 LONG** when bullish strength is high, **🔴 SHORT** when bearish strength is high, and **⚪ WAIT** in neutral conditions.
* **Rows:** Describes the RSI status for that timeframe (e.g., Bullish, Bearish, Overbought, Oversold).
* **Dir (Direction):**
* **Header:** Displays an arrow representing the majority direction across all timeframes.
* **Rows:** Shows the instantaneous direction of the RSI (↗️ for rising, ↘️ for falling).
* **Diverg (Divergence):**
* Indicates if a bullish (`🟢 Bull`) or bearish (`🔴 Bear`) divergence has been detected on that timeframe.
* **TF (Timeframe):**
* Indicates the reference timeframe for that row.
### Advantages and Practical Use
This tool was created to solve a common problem: the need to analyze multiple charts to understand the bigger picture. With this dashboard, you can:
1. **Confirm a Trend:** A predominance of green and a "LONG" signal provides strong confirmation of bullish sentiment.
2. **Identify Weakness:** Red signals on higher timeframes can warn of an impending loss of momentum.
3. **Spot Turning Points:** A divergence on a major timeframe can signal an excellent reversal opportunity.
### Originality and Acknowledgements
This script is an original work, written from scratch by giua64. The idea was to create a comprehensive and visually intuitive tool for RSI analysis.
Any feedback, comments, or suggestions to improve the script are welcome!
**Disclaimer:** This is a technical analysis tool and should not be considered financial advice. Always do your own research and backtest any tool before using it in a live trading environment.
Script open-source
In pieno spirito TradingView, il creatore di questo script lo ha reso open-source, in modo che i trader possano esaminarlo e verificarne la funzionalità. Complimenti all'autore! Sebbene sia possibile utilizzarlo gratuitamente, ricorda che la ripubblicazione del codice è soggetta al nostro Regolamento.
giua64
borsamercati.it – Educational tools by giua64
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Declinazione di responsabilità
Le informazioni ed i contenuti pubblicati non costituiscono in alcun modo una sollecitazione ad investire o ad operare nei mercati finanziari. Non sono inoltre fornite o supportate da TradingView. Maggiori dettagli nelle Condizioni d'uso.
Price × Volume Momentum (FSTO / RSI / Avg)decided to combine my PXVS and PXVR in to one script. user has the option to use FSTO, RSI, or the average between the two oscillators.
the oscillator components have been modified to range from -100 to +100 to express directional magnitude.
volume remains 0 to 100, so it can function as a direction-neutral amplifier.
The result is a bi-directional composite oscillator that:
>> Emphasizes congruent signals (e.g., strong price direction with strong volume).
>> Minimizes misleading or incongruent signals from high volume paired with neutral or conflicting price movement.
Ideal for identifying high-conviction breakouts and momentum divergences with volume support.
BullFinder_15M_OBV_RSI_MFI📊 BullFinder_15M_OBV_RSI_MFI
15-Minute BTC/USDT Long-Only Strategy Powered by OBV, NetVolume, RSI and MFI
Designed for high-frequency bullish opportunities, this strategy combines volume-confirmed momentum with dynamic trailing stop exits. Ideal for breakout traders seeking consistency over noise.
🔍 Indicators Used:
OBV + Net Volume: Volume divergence & pressure detection
RSI + MFI: Momentum and liquidity filters
EMA21: Baseline trend confirmation
Advanced Trailing Stop: Dynamic trigger + offset + hard loss control
📅 Backtest Summary (Last 12 Months | BTC/USDT | 15m TF):
Total Trades: 381
Win Rate: 83.20%
Avg. PnL per Trade: +746.18 USDT
Avg. Winner: 7,097 USDT
Avg. Loser: -30,713 USDT
Best Trade: 65,654 USDT
Profit Factor: 0.231
✅ Alerts Available
To automate entries or get Telegram alerts, set an alarm with the message:
📢 "BullFinder: Long Entry Triggered"
Short-Term Holder MVRVThis script calculates and visualizes the Market Value to Realized Value (MVRV) ratio for Bitcoin, specifically focusing on short-term holders (STH). The MVRV ratio is a key on-chain metric that compares Bitcoin's market cap to its realized cap (the aggregate cost basis of all coins). It helps traders identify overbought and oversold conditions in the market.
Key Features
1. Moving Averages (Customizable)
The script allows users to apply different moving averages to smooth the MVRV data:
EMA (Exponential Moving Average)
SMA (Simple Moving Average)
SMMA/RMA (Smoothed/Rolling Moving Average)
WMA (Weighted Moving Average)
VWMA (Volume-Weighted Moving Average)
HMA (Hull Moving Average)
2. Core Calculation
Fetches BTC_MVRV data from TradingView's security function.
Computes a moving average (default: 238-period WMA) of the MVRV values.
Calculates the Ratio_MVRV as:
text
Ratio_MVRV = Current MVRV / Moving Average of MVRV
A bullish signal is generated when Ratio_MVRV > 1 (market is heating up).
A bearish signal is generated when Ratio_MVRV < 1 (market is cooling down).
3. Visual Output
Main Plot:
A line chart showing Ratio_MVRV.
Orange when bullish (Ratio_MVRV > 1).
Purple when bearish (Ratio_MVRV < 1).
Horizontal Line:
A dotted white line at 1.0, acting as a threshold.
Table Display:
A small table in the top-right corner showing "↑ Bull" (green) or "↓ Bear" (red) based on the current market state.
4. Alerts
Triggers TradingView alerts when the market state changes between bullish and bearish.
Interpretation & Trading Signals
When Ratio_MVRV > 1 (Bullish):
Suggests Bitcoin is gaining momentum, possibly entering an overbought phase.
Could indicate a good time to hold or accumulate, but extreme highs may signal a potential top.
When Ratio_MVRV < 1 (Bearish):
Suggests Bitcoin is undervalued, possibly in an oversold phase.
Could indicate a buying opportunity, but prolonged lows may signal further downside.
Default Settings & Customization
Length: 238 (adjustable, default based on common long-term trend analysis).
Moving Average Type: WMA (Weighted Moving Average).
Users can modify these settings in the Inputs menu in TradingView.
Use Case
Helps traders identify market cycles by tracking short-term holder behavior.
Works best as a confirmation tool alongside other indicators (e.g., RSI, MACD).
Useful for swing traders and long-term investors looking for trend reversals.
CM_VixFix_RSI_HMA200_TrailStop_vFinal📌 CM_VixFix_RSI_HMA200_TrailStop – vFinal | BTC 30-Minute Strategy (Long & Short)
This strategy combines volatility-based market shock detection (Williams Vix Fix), trend confirmation (HMA200), and momentum filtering (RSI) to generate high-probability trade entries. It is engineered for BTC/USDT on the 30-minute timeframe, with carefully tuned parameters through extensive backtesting.
🎯 Core Components:
WVF (Williams Vix Fix): Identifies volatility spikes, acting as a proxy for oversold conditions or panic drops.
RSI (Relative Strength Index): Generates directional momentum signals, with separate thresholds for long and short entries.
HMA200: Filters trades based on the prevailing market trend. Trades are only allowed in the direction of HMA slope and position.
ATR-Based Trailing Stop Engine: Activates after a minimum profit threshold is hit. Combines dynamic trailing logic with a Hard Stop (maximum loss limit) to mitigate risk.
⚠️ Short-Side Challenges & Solutions
During development, the short-side trades exhibited a lower win rate, a common behavior in crypto bull-biased markets. To address this, we implemented:
RSI trigger reduced to 20 to capture only high-momentum sell-offs.
Dual confirmation: RSI must also be below its EMA(21) and price below EMA(100).
MaxBars filter (10 candles): Prevents multiple short entries in tight ranges or low-volatility zones.
As a result:
Short trades now yield a Risk/Reward ratio above 3.4
Average short trade profit is ~3x the average loss, making short entries valuable despite lower hit rate.
📊 Performance Summary (Backtest: BTCUSDT, 30-Min, July 2024–July 2025)
Metric Long Short Overall
Total Trades 401 50 451
Win Rate 49.6% 30.0% 47.4%
Avg PnL 311 USDT 1,229 USDT 413 USDT
Risk/Reward (Avg K/L) 1.05 3.48 1.16
🚨 Disclaimer
This strategy is not a plug-and-play black box. While signals are statistically validated, we strongly recommend using this tool in conjunction with:
Volume and time-of-day filters
Fundamental/macro overlays (especially around Fed announcements or CPI data)
A broader risk management framework
Note: This strategy has been optimized exclusively for BTC/USDT on the 30-minute timeframe. If applied to other assets or timeframes, recalibration is necessary.
Samil Dogru SmartTrailing v1.1📘 Samil Dogru SmartTrailing v1.1 – BTCUSDT Optimized Strategy (15-Minute)
Samil Dogru SmartTrailing v1.1 is an advanced trend-tracking and profit-locking strategy, specifically optimized for BTCUSDT on the 15-minute timeframe.
It integrates dynamic price following, intelligent trailing exit after trigger activation, and protective hard-stop loss logic to maximize profit while limiting downside risk.
⚙️ Core Strategy Logic:
Entry Signal: Based on a crossover of HMA100 and HMA200, filtered by the trend direction of HMA500 and HMA1000 (cloud logic).
Trigger Mechanism: When price moves a user-defined percentage (e.g., +1.2%) from the entry, the trailing logic is activated.
Smart Trailing Exit: Once triggered, the strategy tracks new highs (for long) or new lows (for short). A trailing stop is dynamically updated. If price pulls back by the defined margin (e.g., 0.8%), the position exits.
Hard Stop (Pre-Trigger): If price moves adversely by a defined percentage (e.g., 2.5%) before the trigger is hit, the position is forcefully exited to protect capital.
📊 Performance Note:
On BTCUSDT with 15-minute candles, historical testing has shown:
High directional accuracy
Optimized entry and exit timing
Improved profit retention with minimal user intervention
This setup is ideal for semi-automated swing scalping within structured trend conditions.
📎 User Controls:
All percentages are user-defined:
Trigger Threshold (%)
Trailing Margin (%)
Maximum Loss (%) before trigger
Trailing logic is active only after the trigger level is reached. One position at a time (pyramiding=0).
⚠️ Disclaimer:
This strategy is not financial advice. While historical performance is promising, future results are not guaranteed.
Always test in a simulated environment before deploying real capital. Use proper position sizing and risk management.
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.
Siyonacci-CheapResult:
Single line %K → colors change depending on the signal
Overbought and oversold zones are indicated by levels 80–20
Orange color appears in indecisive signals
Reverscope 5M🚀 Reverscope 5M – Precision Reversal Engine for BTC Futures
Reverscope 5M is a high-frequency trend reversal strategy, purpose-built for BTC/USDT futures trading on the 5-minute chart.
Rather than following the trend, this system specializes in identifying turning points using a combination of WMA crossovers, 3-bar ATR decline filtering, and a dynamic trailing stop mechanism. It’s designed for traders seeking to exploit short-term overextensions and reversal setups — especially in high-volatility conditions.
⚙️ Technical Features:
WMA8 crossing WMA21: Primary entry trigger
Trigger Threshold: 1.2%: Activates trailing logic after initial profit
Pullback Ratio: 0.6%: Defines trailing stop distance after trigger
Max Loss: 5%: Capital protection on each trade
ATR 3-bar decline filter: Blocks signals during weak or collapsing price structures
Supports both Long and Short positions (with reversal bias)
Compatible with TradingView alerts
(📌 Note: Alert logic and messages will be updated in future versions.)
⚠️ Critical Warnings:
This is a reversal-based strategy, not a trend-following one.
It is optimized to enter against the prevailing trend, so using it in strong trend conditions may lead to consecutive losses.
Designed for futures and leveraged instruments — significant risk is involved.
Always backtest thoroughly with Strategy Tester before using in live markets.
Understand the signal logic, trailing mechanism, and filtering behavior before deploying.
[Top] 🦙 LHAMA-MACD🦙 LHAMA-MACD — Low-High Adaptive MACD Oscillator
This indicator is a custom MACD-style oscillator that uses LHAMA (Low-High Adaptive Moving Average) smoothing instead of conventional EMAs. LHAMA dynamically adapts its responsiveness based on recent high/low price activity, aiming to reduce lag and improve sensitivity to trend shifts compared to standard MACD.
How It Works
LHAMA Calculation:
For both fast and slow components, the indicator evaluates whether the highest high or lowest low over the lookback length is changing. When new extremes are detected, an adaptive tracking coefficient increases, making the moving average respond faster. This results in a moving average that adapts more quickly during volatility and smooths out during consolidation.
MACD Line:
The difference between the fast LHAMA and slow LHAMA.
Signal Line:
An EMA of the MACD line over a user-defined period.
Histogram:
The difference between the MACD Line and the Signal Line.
Crossover Labels:
Green star ✳️ appears below price when the MACD crosses above the Signal Line (potential bullish momentum).
Orange star ✴️ appears above price when the MACD crosses below the Signal Line (potential bearish momentum).
Inputs
Price Source: The price data to analyze (default: close).
Fast LHAMA Length: Period for the faster adaptive average.
Slow LHAMA Length: Period for the slower adaptive average.
Signal EMA Length: Smoothing period for the Signal Line.
Show Histogram: Toggle histogram display.
Show Oscillator Lines: Toggle MACD and Signal Lines display.
How to Use
Trend Confirmation: Use histogram and line crossovers to gauge trend strength and potential reversals.
Momentum Shifts: Bullish crossovers may indicate increasing upside momentum, while bearish crossovers can signal weakening price action.
Subpane Visualization: The oscillator plots in a separate pane below your chart.
Price Markers: Labels appear directly on the price chart for clearer visual signals.
This tool can complement price action strategies by providing early warnings of trend changes and momentum shifts, thanks to its adaptive smoothing approach.
MOD_CM_MacD_Ult_MTF_V2.1Basato su “CM_MacD_Ult_MTF_V2.1” di @chadmaurice (CM)
Aggiunto timeframe 2g,3g,4g
Linearity IndexThe Linearity Index (LI) indicator helps traders identify trending and choppy markets by measuring price movement efficiency. It calculates LI using a user-defined lookback period (default: 61 days), dividing the net price change by the sum of absolute daily changes. LI ranges from -1 to 1:
Positive LI: Upward trend
Negative LI: Downward trend
Near 0: Choppy or flat market
Key FeaturesTable Display:
Summarizes data over three periods (1st Year, 2nd Year and 3rd Year)
Linear Days: LI > 0.2 (strong linearity)
Trend Days: Close > 50 SMA and LI > 0.05 (upward trend)
Linearity Index Ratio (LIR): Linear Days / Trend Days,
color-coded:Red (< 0.25)
Yellow (0.25–0.50)
Green (> 0.50)
Total LIR : average of every year's LIR and color coded based on overall LI color
View modes: Full (detailed), Compact (abbreviated), Mini (Yr & LIR only)
Visuals:Horizontal lines at 0.20 ("Linearity Level") and 0.05 ("Choppiness Level")
Background color: Green (LI > 0.2), Red (LI < 0.05)
LI plotted as a dark gray histogram
Customization:Adjustable lookback period
Selectable table view mode (Full, Compact, Mini)
Purpose : The LI indicator provides a quick way to assess market trends and linearity over time, with visual cues and a customizable table for deeper analysis. Ideal for traders seeking to gauge trend strength and market efficiency.
Took inspiration from @OmkarBanne 's Trend vs Chop Detector
Dynamic Momentum Oscillator ProThis indicator is called "Dynamic Momentum Oscillator Pro" (DMO PrO) and is a modified oscillator that analyzes the difference between two moving averages (fast and slow) across different timeframes. Its primary purpose is to identify trend strength and direction, as well as potential reversal points.
This indicator detects early momentum shifts in assets approaching key reversal zones by tracking:
- Convergence of the smoothed moving average (SMMA)
- Trend confirmation across multiple timeframes
- Visual assessment of momentum intensity
### Key Features:
1. Dual Smoothed Moving Averages (SMMA)
- Uses two modified moving averages (SMMA — Smoothed Moving Average) with different periods:
- `fast_length` (default: 4) — fast MA.
- `slow_length` (default: 12) — slow MA.
- The difference between them (`ma_diff = fast_ma - slow_ma`) generates the primary signal.
2. Higher Timeframe Analysis
- The indicator automatically calculates the moving average difference (`ma_diff`) on a higher timeframe (`res_multi` times larger than the current one) to determine the global trend.
- Example: If the current timeframe is 1H and `res_multi = 3`, the higher timeframe will be 3H.
3. Visualization:
- Histogram (bars) — displays the current `ma_diff` value. Color depends on the direction and position relative to zero.
- Lines — duplicates the histogram as a line.
- Background — shaded red/green based on the higher timeframe trend direction.
4. Color Scheme:
- Above zero and rising: Light green (`#81C784`).
- Below zero and rising: Deep green (`#26A69A`).
- Above zero and falling: Bright red (`#EF5350`).
- Below zero and falling: Light pink (`#FFCDD2`).
Signal Interpretation:
- Green bars: Increasing bullish momentum.
- Red bars: Growing bearish pressure.
- Background color: Trend bias on the higher timeframe (red = bearish, green = bullish).
### Logic:
- A rising `ma_diff` indicates strengthening momentum.
- Zero-line crossovers may signal a trend reversal.
- Divergence between current and higher timeframes (e.g., uptrend on lower TF vs. downtrend on higher TF) can warn of trend weakness.
### Applications:
- Trend strategies: Buy when the histogram rises above zero; sell when it falls below.
- Trend filter: Alignment of directions across timeframes strengthens signals.
- Divergences: Discrepancies between price and indicator may hint at reversals.
This indicator combines features of MACD (MA difference) and Momentum.
Crypto Narratives: Relative Strength V2Simple Indicator that displays the relative strength of 8 Key narratives against BTC as "Spaghetti" chart. The chart plots an aggregated RSI value for the 5 highest Market Cap cryopto's within each relevant narrative. The chart plots a 14 period SMA RSI for each narrative.
Functionality:
The indicator calculates the average RSI values for the current leading tokens associated with ten different crypto narratives:
- AI (Artificial Intelligence)
- DeFi (Decentralized Finance)
- Memes
- Gaming
- Level 1 (Layer 1 Protocols)
- AI Agents
- Storage/DePin
- RWA (Real-World Assets)
- BTC
Usage Notes:
The 5 crypto coins should be regularly checked and updated (in the script) by overtyping the current values from Rows 24 - 92 to ensure that you are using the up to date list of highest marketcap coins (or coins of your choosing).
The 14 period SMA can be changed in the indicator settings.
The indicator resets every 24 hours and is set to UTC+10. This can be changed by editing the script line 19 and changing the value of "resetHour = 1" to whatever value works for your timezone.
There is also a Rate of Change table that details the % rate of change of each narrative against BTC
Horizontal lines have been included to provide an indication of overbought and oversold levels.
The upper and lower horizontal line (overbought and oversold) can be adjusted through the settings.
The line width, and label offset can be customised through the input options.
Alerts can be set to triggered when a narrative's RSI crosses above the overbought level or below the oversold level. The alerts include the narrative name, RSI value, and the RSI level.
All in one (Plus) [NMTUAN]Introducing All-in-one V2.3 : Your Complete Trading Compass!
Are you searching for a single, powerful trading system that offers a holistic view of the market and pinpoints optimal entry and exit points? Look no further than All-in-one V2.3 , the meticulously refined indicator system developed by author Nguyễn Minh Tuấn. This comprehensive solution is designed to empower traders with everything they need to navigate any financial market, on any timeframe.
All-in-one V2.3 integrates a full suite of essential trading tools, providing you with unparalleled clarity and precision:
Advanced Trend Identification: Get a crystal-clear understanding of market direction. Our system's sophisticated trend indicators help you cut through the noise, ensuring you're always aligned with the prevailing market momentum.
Dynamic Support & Resistance: Say goodbye to guesswork. All-in-one V2.3 accurately identifies dynamic support and resistance levels, giving you critical insights into potential price turning points for strategic decision-making.
Comprehensive Market Insights: From market sentiment to volatility, this system offers a panoramic view of the market's underlying dynamics. You'll gain a deeper understanding of what's driving price action, enabling more informed trades.
The true power of All-in-one V2.3 lies in its versatility and comprehensive nature. It's engineered to adapt to your trading style and preferences, making it ideal for:
Any Financial Product: Whether you trade stocks, forex, commodities, cryptocurrencies, or indices, All-in-one (Plus) provides relevant and actionable insights across the board.
Any Timeframe: From scalping on minute charts to long-term investing on daily or weekly charts, the system seamlessly adjusts to your preferred trading horizon.
With All-in-one (Plus) , you're not just getting a collection of indicators; you're gaining a fully integrated trading environment that helps you:
See the Big Picture: Understand how various market forces are interacting.
Choose Optimal Entry/Exit Points: Confidently identify when to enter and exit trades for maximum potential.
Simplify Your Analysis: Reduce clutter and focus on what truly matters for profitable trading.
Empower your trading with All-in-one (Plus) and experience market clarity like never before.
Ready to elevate your trading journey?
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