[blackcat] L2 FiboKAMA Adaptive TrendOVERVIEW
The L2 FiboKAMA Adaptive Trend indicator leverages advanced technical analysis techniques by integrating Fibonacci principles with the Kaufman Adaptive Moving Average (KAMA). This combination creates a dynamic and responsive tool designed to adapt seamlessly to changing market conditions. By providing clear buy and sell signals based on adaptive momentum, this indicator helps traders identify potential entry and exit points effectively. Its intuitive design and robust features make it a valuable addition to any trader’s arsenal 📊💹.
According to the principle of Kaufman's Adaptive Moving Average (KAMA), it is a type of moving average line specifically designed for markets with high volatility. Unlike traditional moving averages, KAMA can automatically adjust its period based on market conditions to improve accuracy and responsiveness. This makes it particularly useful for capturing market trends and reducing false signals in varying market environments.
The use of Fibonacci magic numbers (3, 8, 13) enhances the performance and accuracy of KAMA. These numbers have special mathematical properties that align well with the changing trends of KAMA moving averages. Combining them with KAMA can significantly boost its effectiveness, making it a popular choice among traders seeking reliable signals.
This fusion not only smoothens price fluctuations but also ensures quick responses to market changes, offering dependable entry and exit points. Thanks to the flexibility and precision of KAMA combined with Fibonacci magic numbers, traders can better manage risks and aim for higher returns.
FEATURES
Enhanced Kaufman Adaptive Moving Average (KAMA): Incorporates Fibonacci principles for improved adaptability:
Source Price: Allows customization of the price series used for calculation (default: HLCC4).
Fast Length: Determines the period for quicker adjustments to recent price changes.
Slow Length: Sets the period for smoother transitions over longer-term trends.
Dynamic Lines:
KAMA Line: A yellow line representing the primary adaptive moving average, which adapts quickly to new trends.
Trigger Line: A fuchsia line serving as a reference point for detecting crossovers and generating signals.
Visual Cues:
Buy Signals: Green 'B' labels indicating potential buying opportunities.
Sell Signals: Red 'S' labels signaling possible selling points.
Fill Areas: Colored regions between the KAMA and Trigger lines to visually represent trend directions and strength.
Alert Functionality: Generates real-time alerts for both buy and sell signals, ensuring timely notifications for actionable insights 🔔.
Customizable Parameters: Offers flexibility through adjustable inputs, allowing users to tailor the indicator to their specific trading strategies and preferences.
HOW TO USE
Adding the Indicator:
Open your TradingView chart and navigate to the indicators list.
Select L2 FiboKAMA Adaptive Trend and add it to your chart.
Configuring Parameters:
Adjust the Source Price to choose the desired price series (e.g., close, open, high, low).
Set the Fast Length to define how quickly the indicator responds to recent price movements.
Configure the Slow Length to determine the smoothness of long-term trend adaptations.
Interpreting Signals:
Monitor the chart for green 'B' labels indicating buy signals and red 'S' labels for sell signals.
Observe the colored fill areas between the KAMA and Trigger lines to gauge trend strength and direction.
Setting Up Alerts:
Enable alerts within the indicator settings to receive notifications whenever buy or sell signals are triggered.
Customize alert messages and frequencies according to your trading plan.
Combining with Other Tools:
Integrate this indicator with additional technical analysis tools and fundamental research for comprehensive decision-making.
Confirm signals using other indicators like RSI, MACD, or Bollinger Bands for increased reliability.
Optimizing Performance:
Backtest the indicator across various assets and timeframes to understand its behavior under different market conditions.
Fine-tune parameters based on historical performance and current market dynamics.
Integrating Magic Numbers:
Understand the basic principles of KAMA to find suitable entry points for Fibonacci magic numbers.
Utilize the efficiency ratio to measure market volatility and adjust moving average parameters accordingly.
Apply Fibonacci magic numbers (3, 8, 13) to enhance the responsiveness and accuracy of KAMA.
LIMITATIONS
Market Volatility: May produce false signals during periods of extreme volatility or sideways movement.
Parameter Sensitivity: Requires careful tuning of fast and slow lengths to balance responsiveness and stability.
Asset-Specific Behavior: Effectiveness can vary significantly across different financial instruments and time horizons.
Complementary Analysis: Should be used alongside other analytical methods to enhance accuracy and reduce risk.
NOTES
Historical Data: Ensure adequate historical data availability for precise calculations and backtesting.
Demo Testing: Thoroughly test the indicator on demo accounts before deploying it in live trading environments.
Continuous Learning: Stay updated with market trends and continuously refine your strategy incorporating feedback from the indicator's performance.
Risk Management: Always implement proper risk management practices regardless of the signals provided by the indicator.
ADVANCED USAGE TIPS
Multi-Timeframe Analysis: Apply the indicator across multiple timeframes to gain deeper insights into underlying trends.
Divergence Strategy: Look for divergences between price action and the KAMA line to spot potential reversals early.
Volume Integration: Combine volume analysis with the indicator to confirm the strength of identified trends.
Custom Scripting: Modify the script to include additional filters or conditions tailored to your unique trading approach.
IMPROVING KAMA PERFORMANCE
Increase Length: Extend the KAMA length to consider more historical data, reducing the impact of short-term price fluctuations.
Adjust Fast and Slow Lengths: Make KAMA smoother by increasing the fast length and decreasing the slow length.
Use Smoothing Factor: Apply a smoothing factor to control the level of smoothness; typical values range from 0 to 1.
Combine with Other Indicators: Pair KAMA with other smoothing indicators like EMA or SMA for more reliable signals.
Filter Noise: Use filters or other technical analysis tools to eliminate price noise, enhancing KAMA's effectiveness.
Indicators and strategies
Williams Percent Range proWilliams Percent Range with Divergences (Williams %R Div)
Description:
This indicator enhances the traditional Williams %R oscillator by detecting both Regular Divergence and Hidden Divergence directly on the %R line. It helps traders spot potential trend reversals and trend continuations with high precision.
Key Features:
Williams %R calculation (standard, normalized between -100 and 0).
Pivot-based detection of divergences:
Regular Bullish Divergence: Price makes a lower low, but %R makes a higher low → potential upward reversal.
Regular Bearish Divergence: Price makes a higher high, but %R makes a lower high → potential downward reversal.
Hidden Bullish Divergence: Price makes a higher low, but %R makes a lower low → potential trend continuation upward.
Hidden Bearish Divergence: Price makes a lower high, but %R makes a higher high → potential trend continuation downward.
Customizable settings:
Enable/disable Regular and Hidden Divergences separately.
Customize colors for each divergence type.
Visual plotting:
Divergence signals are marked with labels (Bull, Bear, H Bull, H Bear) directly on the %R panel.
Built-in alert conditions:
Instant alerts when a Regular or Hidden Divergence is detected.
Usage Recommendation:
Regular Divergences are best used to anticipate trend reversals.
Hidden Divergences are useful for confirming trend continuations.
Combining divergence detection with key support/resistance levels, candlestick patterns, or moving averages can significantly enhance trading accuracy.
MTF Supertrend + Gann HL Strategy//@version=5
strategy("MTF Supertrend + Gann HL Strategy", overlay=true, default_qty_type=strategy.percent_of_equity, default_qty_value=10)
// === Inputs ===
atrPeriod = input.int(10, "ATR Period")
factor = input.float(3.0, "Supertrend Multiplier")
gannLength = input.int(10, "Gann HL Period")
// === Timeframes ===
higherTF = "15"
lowerTF = "5"
// === Supertrend & Gann HL (15m) ===
= request.security(syminfo.tickerid, higherTF, ta.supertrend(factor, atrPeriod))
gannHigh15 = request.security(syminfo.tickerid, higherTF, ta.highest(high, gannLength))
gannLow15 = request.security(syminfo.tickerid, higherTF, ta.lowest(low, gannLength))
// === Supertrend & Gann HL (5m) for exit ===
= request.security(syminfo.tickerid, lowerTF, ta.supertrend(factor, atrPeriod))
gannHigh5 = request.security(syminfo.tickerid, lowerTF, ta.highest(high, gannLength))
gannLow5 = request.security(syminfo.tickerid, lowerTF, ta.lowest(low, gannLength))
// === Entry Conditions (15m) ===
longEntry = close > st15 and close > gannHigh15
shortEntry = close < st15 and close < gannLow15
// === Exit Conditions (5m) ===
longExit = close < st5 and close < gannHigh5
shortExit = close > st5 and close > gannLow5
// === Execute Strategy ===
if (longEntry)
strategy.entry("Long", strategy.long)
if (shortEntry)
strategy.entry("Short", strategy.short)
if (longExit)
strategy.close("Long")
if (shortExit)
strategy.close("Short")
// === Optional Plots ===
plot(st15, color=dir15 ? color.green : color.red, title="Supertrend 15m")
RSI MA Distance IndicatorRSI MA Distance Indicator with levels showing the absolute distance for the mean of the RSI
MA10+10ProKey Features:
Displays up to 20 MAs (customizable EMA/SMA types) in two color groups (Red/Blue)
Dual Fill Areas: Visualize the space between any two MAs with dynamic colors (Green=Uptrend, Red=Downtrend)
Dual Cross Signals: Buy (△/↑) and Sell (▽/↓) markers when MAs crossover
Full Customization: Choose any MAs for fills or cross alerts
🔧 How to Use:
Set MA Parameters:
Adjust periods for MA1-MA20 (e.g., 10, 20, 50, 200)
Switch between EMAs (fast) or SMAs (slow) types
Fill Area Setup:
Pick any two MAs (e.g., MA1 & MA2) to generate trend zones
Cross Alerts:
Select two MAs (e.g., MA3 & MA4) to trigger buy/sell arrows
🎯 Best For:
Trend following: Use fill colors to identify market bias
Entry/exit signals: Arrow markers highlight potential reversals
Multi-timeframe analysis: Track both short & long-term MAs
功能简介:
同时显示最多20条均线(可自定义EMA/SMA类型),分为两组(红/蓝颜色区分)
双填充区域:动态显示两条均线之间的区域,颜色反映趋势(绿涨红跌)
双交叉信号:当均线交叉时,自动标记买入(△/↑)和卖出(▽/↓)信号
完全可定制:自由选择任意两条均线进行填充或交叉检测
🔧 使用方法:
设置均线参数:
调整MA1-MA20的周期(如10、20、50、200等)
选择均线类型(EMA快线 / SMA慢线)
填充区域设置:
选择任意两条均线(如MA1和MA2)生成趋势填充带
交叉信号设置:
指定两条均线(如MA3和MA4)触发买卖箭头标记
🎯 适用场景:
趋势跟踪:通过填充区域颜色判断多空趋势
买卖点提示:箭头标记辅助识别突破时机
多周期分析:同时监控短期和长期均线
Stochastics + CM Williams VixFix (Simple Buy Signal)📈 Stochastics + CM Williams VixFix (Simple Buy Signal)
This indicator combines two powerful tools to detect potential bottoming opportunities:
✅ Stochastics: Looks for momentum reversals. A signal is triggered when both %K and %D are below the oversold threshold (default: 20), suggesting the asset is deeply oversold.
✅ CM Williams Vix Fix: A volatility-based fear detector. When it spikes above its dynamic threshold, it indicates potential panic selling — often preceding a market bounce.
💡 Buy Signal is generated when:
%K and %D are both below 20
VixFix shows a volatility spike (green condition)
Use this script to identify high-probability reversal setups, especially during market corrections or panic phases.
TradeTrackerLibrary "TradeTracker"
Simple Library for tracking trades
method track(this)
tracks trade when called on every bar
Namespace types: Trade
Parameters:
this (Trade) : Trade object
Returns: current Trade object
Trade
Has the constituents to track trades generated by any method.
Fields:
id (series int)
direction (series int) : Trade direction. Positive values for long and negative values for short trades
initialEntry (series float) : Initial entry price. This value will not change even if the entry is changed in the lifecycle of the trade
entry (series float) : Updated entry price. Allows variations to initial calculated entry. Useful in cases of trailing entry.
initialStop (series float) : Initial stop. Similar to initial entry, this is the first calculated stop for the lifecycle of trade.
stop (series float) : Trailing Stop. If there is no trailing, the value will be same as that of initial trade
targets (array) : array of target values.
startBar (series int) : bar index of starting bar. Set by default when object is created. No need to alter this after that.
endBar (series int) : bar index of last bar in trade. Set by tracker on each execution
startTime (series int) : time of the start bar. Set by default when object is created. No need to alter this after that.
endTime (series int) : time of the ending bar. Updated by tracking method.
status (series int) : Integer parameter to track the status of the trade
retest (series bool) : Boolean parameter to notify if there was retest of the entry price
Rally Sweep Volume RSV w/ Bollinger Band FilterPrice rallies, sweeps, and closes with more volume at the bollinger bands - helping reduce too many signals and filters out the high probability setups
Multi-Timeframe Support & Resistance - KSKClean Multi-Timeframe Support & Resistance (S&R) Tool
This indicator automatically plots previous period Highs and Lows for:
🟢 Daily
🔵 Weekly
🟣 Monthly
It provides a clean visual reference for key market levels, which can act as areas of:
Support & Resistance
Breakout or Rejection zones
Entry/Exit decision points
Table Summary:
Compact 2-column table showing all major levels
Can be positioned manually (Top Left, Top Right, etc.)
Auto-refreshes every few bars for performance
GER MCB V2My version of Market Cipher B. V1
Combination of oscillator, vwap, rsi all in one.
Multi-timeframe.
[blackcat] L2 Volatility ShieldOVERVIEW
The L2 Volatility Shield indicator merges the Parabolic SAR (PSAR) with a volatility filter to provide dynamic stop-loss levels tailored to market conditions. This tool assists traders in identifying suitable shield loss positions to safeguard their trading capital amidst market volatility. It enhances traditional PSAR shields by incorporating the True Range (TR), enabling precise tracking of significant price movements 📊✅.
FEATURES
Combines PSAR and True Range (TR) for enhanced volatility analysis:
PSAR: Determines potential trend reversals based on price action.
True Range: Measures market volatility using high-low differences and price extremes.
Generates a Volatility Shield Line:
Adjusted dynamically based on volatility settings.
Reflects changing market conditions and provides clear visual cues.
Customizable parameters for personalized use:
Volatility Period: Lookback window for volatility measurement.
Volatility Multiplier: Controls the sensitivity of stop-loss adjustments.
Visual representation with gradient colors indicating varying volatility levels 🎨
HOW TO USE
Add the indicator to your TradingView chart by selecting it from the indicators list.
Set the Volatility Period and Volatility Multiplier according to your preferred sensitivity.
Monitor the Volatility Shield Line on the chart for dynamic stop-loss guidance.
Consider entering or exiting positions based on price interactions with the shield line.
Adjust parameters as needed to fit different trading instruments and timeframes.
CALCULATION STEPS
Calculate the PSAR indicator using predefined parameters.
Compute the True Range as the maximum of:
High-Low difference.
Difference between high and previous close.
Difference between low and previous close.
Determine the Volatility Shield Line by adjusting PSAR with volatility factors derived from TR, period, and multiplier.
Plot the shield line on the chart with gradient colors reflecting current volatility levels.
STRATEGIES FOR USING THE VOLATILITY SHIELD LINE
Enter long positions when prices break above the shield line.
Enter short positions when prices fall below the shield line.
Close existing positions or take counter-trades upon breaches of the shield line.
Adapt parameters to suit diverse trading environments and asset classes.
LIMITATIONS
May produce false signals during extreme market events or rapid shifts.
Requires thorough testing and optimization for individual trading styles and assets.
Effectiveness varies depending on market conditions and selected parameters.
NOTES
Ensure adequate historical data for accurate calculations.
Backtest extensively on demo accounts before deploying in live trading scenarios.
Fine-tune parameters regularly to maintain relevance amid evolving market dynamics.
Tighter Support, Resistance, and Consolidation ZonesScript that shows Support, Resistance and Consolidation.
Setup Score Check Final AlertTotal Score
Significance
0–6 points
No trade – "Instinct instead of system"
7–12 points
C-Setup – only small test size
13–17 points
B-Setup – entry with caution
18–21 points
A-Setup – fully feasible
4x Stochastic (20/80 and 15/85)4xstochastic range 20/80 or 15/85
Shows the 4 stochastics with default but ajustable settings:
Stochastic 1 (%K1 og %D1):
%K Length (periodK1): 9
%K Smoothing (smoothK1): 1
%D Smoothing (periodD1): 3
Stochastic 2 (%K2 og %D2):
%K Length (periodK2): 14
%K Smoothing (smoothK2): 1
%D Smoothing (periodD2): 3
Stochastic 3 (%K3 og %D3):
%K Length (periodK3): 40
%K Smoothing (smoothK3): 1
%D Smoothing (periodD3): 4
Stochastic 4 (%K4 og %D4):
%K Length (periodK4): 60
%K Smoothing (smoothK4): 1
%D Smoothing (periodD4): 10
Session-Based +/-% LinesSimple Script Just to Draw Lines Above 0.09 and Below 0.09 % based on Close Price
Whale Psychology Insights
### 🧠 Whale Psychology Insights – Unmasking Smart Money Moves
**Understand the mind games behind every candle.**
This advanced indicator is designed to reveal the psychological warfare played by whales and market manipulators in the crypto space. Stop trading blind—start trading with the insights of the smart money.
#### 🔍 What It Does:
- **Liquidity Zone Detection** – Automatically identifies key **swing highs/lows** where stop hunts are likely.
- **Volume Spike Alerts** – Spot **suspicious activity** where big players enter or exit.
- **Order Block Zones** – Highlights **bullish/bearish engulfing patterns** used by institutions.
- **Fair Value Gaps (FVG)** – Marks price inefficiencies where price may return.
- **Fakeout Detection** – Finds **manipulative wicks** designed to trap retail traders.
#### 💡 Use Cases:
- Avoid getting stopped out by **liquidity grabs**
- Enter after the **whales have made their move**
- Identify **high-probability reversal zones**
- Trade **with smart money**, not against it
Perfect for scalpers, intraday traders, and swing traders looking to understand *why* price moves—not just *where*.
> 🧠 **Trade the psychology, not just the chart.**
NR4/NR7 + Trend + MACD + VWAP FilterThe Ultimate Momentum-Compression Strategy
This strategy merges the power of price compression and trend confirmation, ensuring you're trading when the market is coiled and ready to move. By combining multiple filters—NR4/NR7, trend alignment, MACD momentum, and VWAP support—this setup identifies high-probability trade opportunities in dynamic, trending stocks. Here's how it works:
NR4/NR7 Patterns: These are narrow-range days where the current price range is smaller than the previous 4 or 7 days. This signals potential breakout or continuation setups, as the market is compressing before making a move.
Trend Confirmation: To ensure you're not trading against the current trend, the price must be above the 20 EMA, and the 10 EMA must be above the 20 EMA. This confirms a bullish structure, with the price trending in your favour.
MACD Momentum: The fast MACD line must be above the slow MACD line, confirming the trend is not only intact but also gaining momentum.
VWAP Filter: Price must be above the VWAP (Volume Weighted Average Price). This is the final confirmation that the market is in a strong, bullish phase, with buyers dominating the market.
By requiring all these conditions to align, this strategy takes the guesswork out of day trading. It ensures you're trading within a well-established trend, with compression patterns and momentum backing your trade. The result? You’re entering positions with confidence and clarity, poised to ride strong, sustained moves.
This strategy is for the trader who values both flexibility and discipline—able to capture dynamic moves while staying aligned with market structure and momentum. It’s a refined, systematic approach that makes decisions clear, without the emotional second-guessing.
Intraday Return vs IndexA relative strength indicator. Visualizes cumulative session return vs. the SPX or another chosen benchmark.
Estrategia Martillo / Estrella Fugaz by RouroThis strategy is based on the detection of reversal candlesticks:
Hammer in bearish zones
Shooting Star in bullish zones
Both candles indicate a possible change in trend, but you don't enter directly. Instead, this strategy awaits confirmation through a breakout of the high or low of the pattern candlestick.
📌 Entry Conditions:
Hammer → LONG Entry if the next candle breaks the hammer candle's high.
Shooting Star → SHORT Entry if the next candle breaks the low of the star candle.
Optionally, a time filter can be activated (e.g. operate only from 08:00 to 14:00 UTC).
🎯 Dynamic TP and SL:
The Stop Loss is placed at the end of the pattern (low or high) or, if desired, on a configurable previous candle.
Take Profit is automatically calculated with a configurable Risk/Reward (RR) ratio (default 2:1).
👁️ 🗨️ Visually includes:
Arrows marking confirmed entries.
Colored border on the candles that meet the pattern.
Visual shadow in the active time range.
Statistics panel showing:
Backtest Start Date
Number of Winning/Losing Trades
Maximum Streaks
Success rate
RR ratio used
⚙️ Configurable parameters:
Minimum wick/body ratio to define patterns
Choice between using SL in pattern or X candles back
Ratio RR
Operating hours with UTC offset
Show or hide TP/SL on the chart
📌 Ideal for:
Intraday and swing traders trading in reversal zones
Assets such as indices, gold, crude oil, forex, and cryptos
Traders who prefer confirmation before entering
✨ Author: Rouro
Do you like strategy? Don't forget to leave a like and follow me for more ideas like this!
📩 For suggestions, improvements or collaborations: leave your comment 👇
NR4/NR7 + Trend + MACD Filter📈 NR4/NR7 Breakout Scanner — with Trend & Momentum Filters
This script scans for NR4 and NR7 patterns—tight inside days that often precede explosive moves. But we don’t stop there. We filter for high-probability setups only, using:
✅ Trend Confirmation:
Price is above the 20 EMA
10 EMA is above the 20 EMA
(We’re not buying weakness. The structure must be bullish.)
✅ Momentum Confirmation (MACD Filter):
The MACD fast line is above the signal line
(Momentum must already be in gear—not catching a falling knife.)
This combo gives you a coiled spring setup—tight range, in a clear trend, with momentum pushing in your favour.
It’s ideal for breakout traders, swing traders, and anyone who wants to avoid false starts on the wrong side of the tape.
NR4 setups are marked orange,
NR7 setups are marked purple.
Stick to the right side of the trend, and let the squeeze do the rest.
NR4/NR7 + Refined Trend FilterThis version allows the candle to pull toward the 10 EMA without disqualifying the trend—but keeps things on a bullish leash.