Trend Tracker ProTrend Tracker Pro - Advanced Trend Following Indicator
Overview
Trend Tracker Pro is a sophisticated trend-following indicator that combines the power of Exponential Moving Average (EMA) and Average True Range (ATR) to identify market trends and generate precise buy/sell signals. This indicator is designed to help traders capture trending moves while filtering out market noise.
🎯 Key Features
✅ Dynamic Trend Detection
Uses EMA and ATR-based bands to identify trend direction
Automatically adjusts to market volatility
Clear visual trend line that changes color based on market direction
✅ Precise Signal Generation
Buy signals when trend changes to bullish
Sell signals when trend changes to bearish
Reduces false signals by requiring actual trend changes
✅ Visual Clarity
Green trend line: Bullish trend
Red trend line: Bearish trend
Gray trend line: Sideways/neutral trend
Triangle arrows for buy/sell signals
Clear BUY/SELL text labels
✅ Customizable Settings
Trend Length: Adjustable period for EMA and ATR calculation (default: 14)
ATR Multiplier: Controls sensitivity of trend bands (default: 2.0)
Show/Hide Signals: Toggle signal arrows on/off
Show/Hide Labels: Toggle text labels on/off
✅ Built-in Information Panel
Real-time trend direction display
Current trend level value
ATR value for volatility reference
Last signal information
✅ TradingView Alerts
Buy signal alerts
Sell signal alerts
Customizable alert messages
🔧 How It Works
Algorithm Logic:
1.
Calculate EMA: Uses exponential moving average for trend baseline
2.
Calculate ATR: Measures market volatility
3.
Create Bands: Upper band = EMA + (ATR × Multiplier), Lower band = EMA - (ATR × Multiplier)
4.
Determine Trend:
Price above upper band → Bullish trend (trend line = lower band)
Price below lower band → Bearish trend (trend line = upper band)
Price between bands → Continue previous trend
5.
Generate Signals: Signal occurs when trend direction changes
📊 Best Use Cases
✅ Trending Markets
Excellent for capturing strong directional moves
Works well in both bull and bear markets
Ideal for swing trading and position trading
✅ Multiple Timeframes
Effective on all timeframes from 15 minutes to daily
Higher timeframes provide more reliable signals
Can be used for both scalping and long-term investing
✅ Various Asset Classes
Stocks, Forex, Cryptocurrencies, Commodities
Particularly effective in volatile markets
Adapts automatically to different volatility levels
⚙️ Recommended Settings
Conservative Trading (Lower Risk)
Trend Length: 20
ATR Multiplier: 2.5
Best for: Long-term positions, lower frequency signals
Balanced Trading (Default)
Trend Length: 14
ATR Multiplier: 2.0
Best for: Swing trading, moderate frequency signals
Aggressive Trading (Higher Risk)
Trend Length: 10
ATR Multiplier: 1.5
Best for: Day trading, higher frequency signals
🎨 Visual Elements
Trend Line: Main indicator line that follows the trend
Signal Arrows: Triangle shapes indicating buy/sell points
Text Labels: Clear "BUY" and "SELL" text markers
Information Table: Real-time status panel in top-right corner
Color Coding: Intuitive green/red color scheme
⚠️ Important Notes
Risk Management
Always use proper position sizing
Set stop-losses based on ATR values
Consider market conditions and volatility
Not recommended for ranging/sideways markets
Signal Confirmation
Consider using with other indicators for confirmation
Pay attention to volume and market structure
Be aware of major news events and market sessions
Backtesting Recommended
Test the indicator on historical data
Optimize parameters for your specific trading style
Consider transaction costs in your analysis
Bands and Channels
Faytterro Bands Breakout📌 Faytterro Bands Breakout 📌
This indicator was created as a strategy showcase for another script: Faytterro Bands
It’s meant to demonstrate a simple breakout strategy based on Faytterro Bands logic and includes performance tracking.
❓ What Is It?
This script is a visual breakout strategy based on a custom moving average and dynamic deviation bands, similar in concept to Bollinger Bands but with unique smoothing (centered regression) and performance features.
🔍 What Does It Do?
Detects breakouts above or below the Faytterro Band.
Plots visual trade entries and exits.
Labels each trade with percentage return.
Draws profit/loss lines for every trade.
Shows cumulative performance (compounded return).
Displays key metrics in the top-right corner:
Total Return
Win Rate
Total Trades
Number of Wins / Losses
🛠 How Does It Work?
Bullish Breakout: When price crosses above the upper band and stays above the midline.
Bearish Breakout: When price crosses below the lower band and stays below the midline.
Each trade is held until breakout invalidation, not a fixed TP/SL.
Trades are compounded, i.e., profits stack up realistically over time.
📈 Best Use Cases:
For traders who want to experiment with breakout strategies.
For visual learners who want to study past breakouts with performance metrics.
As a template to develop your own logic on top of Faytterro Bands.
⚠ Notes:
This is a strategy-like visual indicator, not an automated backtest.
It doesn't use strategy.* commands, so you can still use alerts and visuals.
You can tweak the logic to create your own backtest-ready strategy.
Unlike the original Faytterro Bands, this script does not repaint and is fully stable on closed candles.
Order Blocks Higher TimeFrameThis indicator shows order blocks which has FVG on all timeframe with full accuracy.
fadi ffa This script is for educational purposes only. It draws historical pivot points and labels them on the chart to help users visualize price levels. It does not provide trading signals, recommendations, or any financial advice. Use at your own risk. The author is not responsible for any decisions made based on this script.
AMOGH SMC 1Smart Money Concept (SMC) Indicator market structure ke powerful elements jaise Break of Structure (BOS), Change of Character (CHoCH), liquidity zones, aur Fair Value Gaps (FVG) ko identify karta hai. Is indicator ka purpose hai institutional price movements ko track karna—jahaan large players apna entry ya exit plan karte hain. Traditional indicators ke mukable SMC ek zyada refined aur logic-driven approach deta hai jisme market ka intent samajhna asaan hota hai. Ye tool traders ko trending aur consolidating market conditions me structure-based signals provide karta hai, jisse trade execution aur risk management aur effective ho jata hai. FVGs un zones ko highlight karte hain jahan price imbalance hota hai, aur CHoCH/BOS se market ka directional bias confirm hota hai. Jo traders price action aur institutional footprint pe kaam karte hain, unke liye ye indicator ek must-have resource hai. Iska design clean, customizable aur real-time plotting ke saath optimized hai.
SymFlex Band - RSI-MAD Asymmetric
🔮 SymFlex Band – RSI-MAD Asymmetric Band by Kwang Il Lee
Source: surirang.com
The SymFlex Band is a unique asymmetric envelope built on a hybrid concept that fuses RSI momentum dynamics with MAD (Mean Absolute Deviation). Unlike traditional symmetric bands (like Bollinger Bands or Keltner Channels), this band expands and contracts asymmetrically, reflecting the directional momentum of the market.
🎯 Core Innovation
🔸 RSI-Based Asymmetry
This band is not centered merely on price volatility. Instead, it uses the RSI's deviation from the neutral line (50) to determine whether bullish or bearish pressure is dominating — dynamically expanding or compressing the upper/lower bands accordingly.
🔸 MAD-Weighted Scaling
To ensure the band responds accurately to real price deviation, MAD is used instead of standard deviation or ATR. It provides a more robust and median-sensitive envelope for noisy or volatile markets.
🔸 Dynamic Adaptation
The band is adaptive in both direction and width:
When RSI rises above 50, the upper band stretches wider.
When RSI falls below 50, the lower band stretches instead.
A minimum width threshold ensures stability.
📈 How to Use
Use breakouts from the band as potential trend signals.
Confirm market strength via table: Check if price is “In Range” or breaking out.
Monitor the correlation between MAD and RSI in the dynamic table to detect momentum sync.
🔍 Technical Notes
Supports multiple MA types (SMA, EMA, TEMA, DEMA, Zerolag, etc.) as the band basis.
Designed for both trend-following and range-trading interpretations.
Fully responsive to different market conditions through minimal user inputs.
🚨 Note: This is not a combination of unrelated indicators. The RSI-MAD structure is purpose-built to represent a new type of envelope based on directional momentum and deviation sensitivity.
Whale Volume Alerti am oublishtion for my own
so dont use it
it was made thrugh dont now
i have made it
FVG IndicatorYet another indicator allowing you to plot FVGs with the following specific features:
FVG Detection: It automatically identifies bullish (BISI) and bearish (SIBI) FVGs based on the relationship between candle highs and lows.
Clear Visualization: It draws boxes to represent the FVGs and adds a median line for each FVG, making them easier to identify.
Dynamic Styles: The indicator adapts the appearance of FVGs (color and border style) based on their current state:
Untested: When the price has not yet interacted with the FVG.
Tested (Partially Traversed): When the price has entered the FVG.
Fully Traversed (Unmitigated): When the price has completely crossed the FVG but has not yet "invalidated" it (closed beyond the FVG).
Mitigated: When the FVG is invalidated by price action, it disappears from the chart to avoid clutter. This disappearance only occurs after the closing of the mitigating candle.
Full Customization: You can adjust all colors and border styles for each FVG state via the indicator's settings, as well as the maximum number of FVGs displayed.
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Alım Algoritması (EMA + RSI + MACD + ATR + Pozisyon Takibi)//@version=5
indicator("Alım Algoritması (EMA + RSI + MACD + ATR + Pozisyon Takibi)", overlay=true)
// === INPUTS ===
ema1_len = input.int(21, title="EMA 1")
ema2_len = input.int(50, title="EMA 2")
ema3_len = input.int(100, title="EMA 3")
rsi_len = input.int(14, title="RSI Length")
atr_len = input.int(14, title="ATR Length")
macd_fast = input.int(12, title="MACD Fast")
macd_slow = input.int(26, title="MACD Slow")
macd_signal = input.int(9, title="MACD Signal")
max_distance_pct = input.float(5.0, title="Max EMA Distance %", step=0.1)
// === CALCULATIONS ===
ema1 = ta.ema(close, ema1_len)
ema2 = ta.ema(close, ema2_len)
ema3 = ta.ema(close, ema3_len)
avg_ema = (ema1 + ema2 + ema3) / 3
distance_pct = math.abs(close - avg_ema) / avg_ema * 100
ema_near = distance_pct <= max_distance_pct
basis = ta.sma(close, 20)
dev = ta.stdev(close, 20)
upper = basis + 2 * dev
lower = basis - 2 * dev
width = (upper - lower) / basis
is_range = width < 0.12 // %5'ten dar bant
rsi = ta.rsi(close, rsi_len)
rsi_trend = ta.sma(rsi, 5)
rsi_up = rsi > rsi_trend
= ta.macd(close, macd_fast, macd_slow, macd_signal)
ema1_cross = ta.crossover(close, ema1) or ta.crossover(close, ema2) or ta.crossover(close, ema3)
ema_recent_cross = ta.barssince(ema1_cross) < 5
// === BUY SIGNAL ===
//buy_signal = ema_near and ema_recent_cross and
// macdLine > signalLine and hist > 0 and
// rsi > 45 and rsi < 65 and rsi_up
buy_signal = not is_range and ema_near and ema_recent_cross and
macdLine > signalLine and hist > 0 and
rsi > 45 and rsi < 65 and rsi_up
//buy_signal = not is_range and ema_near and ema_recent_cross and
// macdLine > signalLine and hist > 0 and
// rsi > 45 and rsi < 65 and rsi_up
// === POSITION LOGIC ===
var bool in_position = false
var float entry_price = na
var float stop_loss = na
var float take_profit_1 = na
var float take_profit_2 = na
atr = ta.atr(atr_len)
// Koşullar
new_buy = buy_signal and not in_position
// SL ve TP seviyeleri hesaplama
new_sl = close - 1.5 * atr
new_tp1 = close + 2.0 * atr
new_tp2 = close + 3.5 * atr
// Pozisyon açma
if new_buy
in_position := true
entry_price := close
stop_loss := new_sl
take_profit_1 := new_tp1
take_profit_2 := new_tp2
label.new(bar_index, low, "BUY", style=label.style_label_up, color=color.green, textcolor=color.white)
sl_hit = in_position and low <= stop_loss
tp1_hit = in_position and high >= take_profit_1
tp2_hit = in_position and high >= take_profit_2
// Pozisyon kapama sinyali
if sl_hit
in_position := false
//label.new(bar_index, low, "SL", style=label.style_label_down, color=color.red, textcolor=color.white)
if tp2_hit
in_position := false
//label.new(bar_index, high, "TP2", style=label.style_label_down, color=color.rgb(209, 34, 222), textcolor=color.white)
else if tp1_hit
in_position := false
//label.new(bar_index, high, "TP1", style=label.style_label_down, color=color.rgb(209, 34, 222), textcolor=color.white)
// === PLOT ===
// Sadece BUY, SL ve TP seviyeleri çizilir
plot(in_position ? stop_loss : na, title="Stop Loss", color=color.red, style=plot.style_linebr)
//plot(in_position ? take_profit_1 : na, title="TP1", color=color.rgb(209, 34, 222), style=plot.style_linebr)
//plot(in_position ? take_profit_2 : na, title="TP2", color=color.rgb(209, 34, 222), style=plot.style_linebr)
Volume MAs Oscillator | Lyro RSVolume MAs Oscillator | Lyro RS
Overview
The Volume MAs Oscillator is a powerful volume‑adjusted momentum tool that combines custom‑weighted moving averages on volume‑weighted price with smoothed deviation bands. It offers dynamic insights into trend direction, overbought/oversold conditions, and relative valuation — all within a single indicator
Key Features
Volume‑Adjusted Moving Averages: Moving averages can be volume‑weighted using the following formula: a moving average of (Price × Volume) divided by a moving average of Volume. This formula is applied across more than 14 different moving averages; however, it is not used with the VWMA, as VWMA is inherently a volume-weighted moving average.
Percentage Oscillator: Displays the normalized difference: (source – MA) / MA * 100, centered around zero for easy interpretation of strength and direction.
Deviation Bands: Builds upper and lower bands from standard deviation of the oscillator over a selected lookback, with distinct positive/negative multipliers and optional smoothing to reduce noise.
Inputs: Band Length, Band Smoothing, Positive Band Multiplier, Negative Band Multiplier.
Multi‑Mode Signal System:
1. Trend Mode – Colors oscillator according to breaks above (bullish) or below (bearish) respective bands.
2. Reversion Mode – Inverses color logic: signals overextensions beyond bands as reversion opportunities, greys inside the bands.
3. Valuation Mode – Applies a gradient color scale (UpC ⇄ DnC) to reflect relative valuation strength.
Customizable Visuals: Select from 5 pre‑set palettes—Classic, Mystic, Major Themes, Accented, Royal—or define your own custom bullish/bearish colors.
Chart enhancements include color‑coded oscillator line, deviation bands, glow‑effect midline at zero, background shading and candlestick/bar coloring aligned to signal mode.
Built‑In Signals: Automatically plots ▲ oversold and ▼ overbought markers upon crosses of lower/upper bands (in trend or reversion modes), enhancing signal clarity.
How It Works
MA Calculation – Applies the selected MA type to price × volume (normalized by MA of volume) or direct VWMA.
Oscillator Output – Calculates the % difference of source vs. derived MA.
Band Construction – Computes rolling standard deviation; applies user‑defined multipliers; smooths bands with exponential blending.
Mode-Dependent Coloring & Signals –
• Trend: Highlights strength trends via band cross coloring.
• Reversion: Flags extremes beyond bands as potential pullbacks.
• Valuation: Uses gradient to reflect oscillator’s position relative to recent range.
Signal Markers – Deploys arrows and color rules to flag overbought (▼) or oversold (▲) conditions when bands are breached.
Practical Use
Trend Confirmation – In Trend Mode, use upward price_diff cross above upper band as bullish; downward cross below lower band as bearish.
Mean Reversion – In Reversion Mode, fading extremes beyond bands may precede a retracement.
Relative Valuation – Valuation Mode shines when assessing how extended price_diff is, with gradient colors indicating valuation zones.
Bars/candles color‑coded to oscillator state boosts clarity of market tone and allows for rapid visual scanning.
Customization
Adjust MA type/length to tune responsiveness vs. smoothing.
Configure band settings for volatility sensitivity.
Toggle between signal modes for trend-following or reversion strategies.
Stylish visuals: pick or customize color schemes to match your chart setup.
⚠️Disclaimer
This indicator is a tool for technical analysis and does not provide guaranteed results. It should be used in conjunction with other analysis methods and proper risk management practices. The creators of this indicator are not responsible for any financial decisions made based on its signals.
ZLMA Keltner ChannelThe ZLMA Keltner Channel uses a Zero-Lag Moving Average (ZLMA) as the centerline with ATR-based bands to track trends and volatility.
The ZLMA’s reduced lag enhances responsiveness for breakouts and reversals, i.e. it's more sensitive to pivots and trend reversals.
Unlike Bollinger Bands, which use standard deviation and are more sensitive to price spikes, this uses ATR for smoother volatility measurement.
Background:
Built on John Ehlers’ lag-reduction techniques, this indicator adapts the classic Keltner Channel for dynamic markets. It excels in trending (low-entropy) markets for breakouts and range-bound (high-entropy) markets for reversals.
How to Read:
ZLMA (Blue): Tracks price trends. Above = bullish, below = bearish.
Upper Band (Green): ZLMA + (Multiplier × ATR). Cross above signals breakout or overbought.
Lower Band (Red): ZLMA - (Multiplier × ATR). Cross below signals breakout or oversold.
Channel Fill (Gray): Shows volatility. Narrow = low volatility, wide = high volatility.
Signals (Optional): Enable to show “Buy” (green) on upper band crossovers, “Sell” (red) on lower band crossunders.
Strategies: Trade breakouts in trending markets, reversals in ranges, or use bands as trailing stops.
Settings:
ZLMA Period (20): Adjusts centerline responsiveness.
ATR Period (20): Sets volatility period.
Multiplier (2.0): Controls band width.
If you are still confused between the ZLMA Keltner Channels and Bollinger Bands:
Keltner Channel (ZLMA): Uses ATR for bands, which smooths volatility and is less reactive to sudden price spikes. The ZLMA centerline reduces lag for faster trend detection.
Bollinger Bands: Uses standard deviation for bands, making them more sensitive to price volatility and prone to wider swings in high-entropy markets. Typically uses an SMA centerline, which lags more than ZLMA.
My Script v6SMA Calculation: Computes a Simple Moving Average of the selected input source (default is the closing price) over a user-defined period (Length, default 14).
Buy Signal: Displays a green "BUY" label below the bar when the price crosses above the SMA (bullish crossover).
Sell Signal: Displays a red "SELL" label above the bar when the price crosses below the SMA (bearish crossunder).
Overlay Enabled: The indicator is drawn directly on the price chart (overlay=true).
Volatility Flow X | Dual Trend Strategy [VWMA+SMA+ADX]📌 Strategy Title
Volatility Flow X | Dual Trend Strategy
🧾 Description
🚀 Strategy Overview
Volatility Flow X is a dual-directional trading strategy that combines Volume-Weighted MA (VWMA) for momentum, Simple MA (SMA) for trend direction, ADX for trend strength filtering, and ATR-based volatility cloud for dynamic support/resistance zones.
It is designed specifically for high-volatility assets like BTC/USD on intraday timeframes such as 15 min, 30 min, and 1 hour — offering both breakout and trend-following opportunities.
🔬 Technical Components and Sources
1. VWMA (Volume-Weighted Moving Average)
Captures volume-weighted momentum shifts.
📚 Kirkpatrick & Dahlquist (2010) — “Technical Analysis”
2. SMA (Simple Moving Average)
Used as a baseline trend direction validator.
📚 Ernie Chan — “Algorithmic Trading” (2013)
3. ADX (Average Directional Index)
Filters out low-conviction signals based on trend strength.
📚 J. Welles Wilder (1978) — ADX in directional movement systems
4. ATR Cloud (Volatility Envelope)
Creates upper and lower dynamic bands using ATR to visualize trend pressure.
📚 Zunino et al. (2017) — Fractal volatility behavior in Bitcoin markets
🧠 Key Features
✅ 3 configurable Long signal modes
✅ 3 configurable Short signal modes
✅ Manually switchable signals for flexibility
✅ Auto-calculated TP/SL using ATR and risk/reward ratio
✅ ADX filter to avoid choppy trends
✅ Visual cloud overlay for support/resistance
✅ Suitable for scalping and short-term swing trading
⚙️ Recommended Settings (for BTC/USDT – 30min)
VWMA Length = 18
SMA Length = 50
ATR Length = 14, Multiplier = 2.5
Risk-Reward Ratio = 1.5
ADX Length = 14, Threshold = 18, Lookback = 4
⚠️ Disclaimer
This strategy is not financial advice. Please backtest and understand the risks before using it in live markets.
Polynomial Regression + RSI Explosive Zones// Sonic R
EMA_len = input.int(89, title="EMA Signal Length")
HiLoLen = input.int(34, title="PAC EMA Length")
// Polynomial Regression
regression_length = input.int(10, title="Regression Length")
fractal_size = input.int(2, title="Fractal Size")
// Color inputs for regression
colorMid = input.color(color.red, title="Mid Line Color")
colorMax = input.color(color.orange, title="Max Line Color")
colorMin = input.color(color.green, title="Min Line Color")
colorUpper = input.color(color.blue, title="Upper Line Color")
colorLower = input.color(color.purple, title="Lower Line Color")
// === SONIC R ===
// PAC lines
pacC = ta.ema(close, HiLoLen)
pacL = ta.ema(low, HiLoLen)
pacH = ta.ema(high, HiLoLen)
plot(pacL, title="PAC Low EMA", color=color.new(color.blue, 50))
plot(pacH, title="PAC High EMA", color=color.new(color.blue, 50))
plot(pacC, title="PAC Close EMA", color=color.new(color.blue, 0), linewidth=2)
fill(plot(pacL), plot(pacH), color=color.aqua, transp=90, title="Fill PAC")
// EMA lines
ema610 = ta.ema(close, 610)
ema200 = ta.ema(close, 200)
emaSignal = ta.ema(close, EMA_len)
plot(ema610, title="EMA 610", color=color.white)
plot(ema200, title="EMA 200", color=color.fuchsia)
plot(emaSignal, title="EMA Signal", color=color.orange, linewidth=2)
Avg High/Low Lines with TP & SL아래 코드는 TradingView Pine Script v6으로 작성된 스크립트로, 주어진 캔들 수 동안의 평균 고가와 저가를 계산해서 그 위에 수평선을 그리며, 해당 수평선 돌파 시 진입 가격을 기록하고, 손절가(SL)와 목표가(TP)를 자동으로 계산하여 표시하는 전략입니다. 알림(alert) 기능도 포함되어 있습니다.
코드 주요 기능 요약
length 기간 동안 평균 고가, 저가를 단순 이동평균(SMA)으로 계산
평균 고가선, 저가선 수평선을 일정 바 개수만큼 좌우 연장하여 차트에 표시
평균 고가 돌파 시 매수 진입, 평균 저가 돌파 시 매도 진입 처리
진입 가격 저장 및 상태 관리 (inLong, inShort 플래그)
손절가(SL): 롱이면 평균 저가, 숏이면 평균 고가
목표가(TP): 진입가에서 손절 거리의 1.5배만큼 설정
진입가 기준으로 TP, SL 라인과 라벨 표시
상단 돌파 후 종가 마감 시 매수 알림, 하단 돌파 후 종가 마감 시 매도 알림
Sure! Here’s the English explanation of your TradingView Pine Script v6 code:
Summary of Key Features
Calculates the simple moving average (SMA) of the high and low prices over a user-defined number of candles (length).
Draws horizontal lines for the average high and average low, extending them a specified number of bars to the left and right on the chart.
Detects breakouts above the average high to trigger a long entry, and breakouts below the average low to trigger a short entry.
Records the entry price and manages trade states using flags (inLong, inShort).
Sets the stop loss (SL) at the average low for long positions, and at the average high for short positions.
Calculates the take profit (TP) level based on the entry price plus 1.5 times the stop loss distance.
Draws lines and labels for the TP and SL levels starting from the entry bar, extended to the right.
Sends alerts when the price closes above the average high after a breakout (long signal), or closes below the average low after a breakout (short signal).
-onestar-
AlphaTrend//@version=5
indicator('AlphaTrend', shorttitle='AT', overlay=true, format=format.price, precision=2, timeframe='')
coeff = input.float(1, 'Multiplier', step=0.1)
AP = input(14, 'Common Period')
ATR = ta.sma(ta.tr, AP)
src = input(close)
showsignalsk = input(title='Show Signals?', defval=true)
novolumedata = input(title='Change calculation (no volume data)?', defval=false)
upT = low - ATR * coeff
downT = high + ATR * coeff
AlphaTrend = 0.0
AlphaTrend := (novolumedata ? ta.rsi(src, AP) >= 50 : ta.mfi(hlc3, AP) >= 50) ? upT < nz(AlphaTrend ) ? nz(AlphaTrend ) : upT : downT > nz(AlphaTrend ) ? nz(AlphaTrend ) : downT
color1 = AlphaTrend > AlphaTrend ? #00E60F : AlphaTrend < AlphaTrend ? #80000B : AlphaTrend > AlphaTrend ? #00E60F : #80000B
k1 = plot(AlphaTrend, color=color.new(#0022FC, 0), linewidth=3)
k2 = plot(AlphaTrend , color=color.new(#FC0400, 0), linewidth=3)
fill(k1, k2, color=color1)
buySignalk = ta.crossover(AlphaTrend, AlphaTrend )
sellSignalk = ta.crossunder(AlphaTrend, AlphaTrend )
K1 = ta.barssince(buySignalk)
K2 = ta.barssince(sellSignalk)
O1 = ta.barssince(buySignalk )
O2 = ta.barssince(sellSignalk )
plotshape(buySignalk and showsignalsk and O1 > K2 ? AlphaTrend * 0.9999 : na, title='BUY', text='BUY', location=location.absolute, style=shape.labelup, size=size.tiny, color=color.new(#0022FC, 0), textcolor=color.new(color.white, 0))
plotshape(sellSignalk and showsignalsk and O2 > K1 ? AlphaTrend * 1.0001 : na, title='SELL', text='SELL', location=location.absolute, style=shape.labeldown, size=size.tiny, color=color.new(color.maroon, 0), textcolor=color.new(color.white, 0))
alertcondition(buySignalk and O1 > K2, title='Potential BUY Alarm', message='BUY SIGNAL!')
alertcondition(sellSignalk and O2 > K1, title='Potential SELL Alarm', message='SELL SIGNAL!')
alertcondition(buySignalk and O1 > K2, title='Confirmed BUY Alarm', message='BUY SIGNAL APPROVED!')
alertcondition(sellSignalk and O2 > K1, title='Confirmed SELL Alarm', message='SELL SIGNAL APPROVED!')
alertcondition(ta.cross(close, AlphaTrend), title='Price Cross Alert', message='Price - AlphaTrend Crossing!')
alertcondition(ta.crossover(low, AlphaTrend), title='Candle CrossOver Alarm', message='LAST BAR is ABOVE ALPHATREND')
alertcondition(ta.crossunder(high, AlphaTrend), title='Candle CrossUnder Alarm', message='LAST BAR is BELOW ALPHATREND!')
alertcondition(ta.cross(close , AlphaTrend ), title='Price Cross Alert After Bar Close', message='Price - AlphaTrend Crossing!')
alertcondition(ta.crossover(low , AlphaTrend ), title='Candle CrossOver Alarm After Bar Close', message='LAST BAR is ABOVE ALPHATREND!')
alertcondition(ta.crossunder(high , AlphaTrend ), title='Candle CrossUnder Alarm After Bar Close', message='LAST BAR is BELOW ALPHATREND!')
SymFlex Band No1. - Momentum Weighted Volatility BandsSymFlex Band No1 – Momentum-Weighted Adaptive Volatility Band
Overview
The SymFlex Band No1 is a custom-built volatility band that fuses momentum and volatility into a flexible, asymmetric envelope.
It adapts dynamically to market conditions using RSI-based momentum weighting and a selection of smoothing algorithms, making it responsive to both trend shifts and volatility expansions.
Key Features
📊 Momentum-Weighted Width
The band expands or contracts based on RSI momentum. When the RSI is above 50, the upper band becomes more sensitive; when below 50, the lower band responds more dynamically.
🔁 Asymmetric Adaptation
Unlike traditional Bollinger Bands or Keltner Channels, the upper and lower bands of the SymFlex system are independently adjusted based on momentum conditions, creating a non-linear envelope structure.
⚙️ Selectable Smoothing Methods
You can choose among the following methods to control the volatility smoothing:
EMA (Exponential Moving Average)
TEMA (Triple Exponential Moving Average)
ZeroLag EMA v0 (double EMA difference method)
ZeroLag EMA v1 (lag-compensated input)
🛠 Fully Customizable Inputs
RSI Length
Band Multiplier
Band Length
Smoothing Type
How It Works
RSI is calculated over a defined length and normalized to a weight between -1 and +1.
Standard deviation (volatility) of the close price is computed and smoothed.
The band centerline is a Simple Moving Average (SMA).
The band boundaries are then:
Upper = Middle + (1 + momentum_weight) × multiplier × smoothed_volatility
Lower = Middle - (1 + momentum_weight) × multiplier × smoothed_volatility
Use Cases
Detect momentum-driven breakouts
Spot compressions before expansions
Adapt to volatile or trending markets more effectively than fixed bands
Disclaimer
This script is for educational and research purposes only. It is not financial advice. Use with discretion and always validate with additional signals and proper risk management.
AI Score Indicator//@version=5
indicator("AI Score Indicator", overlay=true)
// Eingaben
length = input.int(14, title="RSI Length")
smaLength = input.int(50, title="SMA Length")
bbLength = input.int(20, title="Bollinger Band Length")
stdDev = input.float(2.0, title="Standard Deviation")
// Indikatoren
rsi = ta.rsi(close, length)
sma = ta.sma(close, smaLength)
= ta.bb(close, bbLength, stdDev)
// Scoring (simuliert ein KI-System mit gewichteten Bedingungen)
score = 0
score := rsi < 30 ? score + 1 : score
score := close < sma ? score + 1 : score
score := close < bb_lower ? score + 1 : score
score := ta.crossover(close, sma) ? score + 1 : score
// Buy-/Sell-Signale auf Basis des Scores
buySignal = score >= 3
sellSignal = rsi > 70 and close > sma
// Signale anzeigen
plotshape(buySignal, title="Buy", location=location.belowbar, color=color.green, style=shape.labelup, text="BUY")
plotshape(sellSignal, title="Sell", location=location.abovebar, color=color.red, style=shape.labeldown, text="SELL")
// Score visualisieren (debugging)
plot(score, title="AI Score", color=color.orange)
MACD Histogram v6This script plots the MACD histogram, a popular momentum indicator used to identify bullish/bearish momentum shifts, convergence/divergence between moving averages, and potential entry/exit signals.
Core Components:
Inputs:
fast – Period for the fast EMA (default: 12).
slow – Period for the slow EMA (default: 26).
signal – Period for the signal line EMA (default: 9).
Multi-Tool Indicator v6This is a versatile technical analysis tool designed to help traders quickly assess market trends and momentum. It combines a customizable Moving Average (MA) with Relative Strength Index (RSI) signals to highlight key market conditions directly on the chart.
🔧 Key Features:
Configurable Moving Average (MA):
Supports SMA (Simple Moving Average) and EMA (Exponential Moving Average).
User-defined length to match your strategy.
Plotted directly on the price chart for trend tracking.
RSI-Based Signal Detection:
Uses RSI to detect overbought (above 70) and oversold (below 30) conditions.
Plots red/green triangle shapes above/below bars when these conditions occur.
Background Highlighting:
Changes chart background to red when overbought and green when oversold to improve visual clarity.
Alerts for Key RSI Events:
Alerts can be triggered when RSI enters overbought or oversold zones.
Useful for automated strategy notifications.
MA Value Labels:
A label shows the current value of the MA near the most recent bar.
