Bull Momentum GaugeBull Momentum Gauge
The Bull Momentum Gauge is a powerful momentum oscillator designed to identify the underlying strength and sustainability of major market trends. Instead of trying to predict tops and bottoms, this indicator helps traders and investors ride long-term bull markets by signaling when momentum is building and when it is starting to fade.
What it Does
At its core, this tool measures how statistically "stretched" or "compressed" an asset's price is relative to its long-term (1-year) trend. It does this by:
Calculating the price's deviation from its 365-day moving average.
Normalizing this deviation into a Z-score to measure its statistical significance.
Comparing the inverted Z-score to its own 200-day moving average to gauge the momentum of the trend itself.
The result is a single, smooth line that oscillates around a zero value.
How to Use It
The signals are simple and based on the indicator's relationship to the zero line:
Green Line (Gauge below 0): This indicates that the price has been compressed relative to its long-term trend and is now showing signs of building upward momentum. A cross into the green zone can be interpreted as a potential entry signal for a new bull run.
Red Line (Gauge above 0): This suggests that the price has become over-extended or "stretched" and the upward momentum is beginning to weaken. A cross into the red zone can be used as a potential exit signal, indicating it may be time to take profits and wait for the next cycle.
This indicator is designed to work across multiple timeframes (Daily, Weekly, Monthly) and provides a clear, data-driven framework for navigating major market cycles.
Cicli
Triangular Fib🔍 Features
- Dynamic Lookback & Projection: Automatically adjusts the range and projection horizon based on timeframe changes.
- Triangular Fibonacci Arms: Projects fib levels upward and downward from high/low extremes to highlight potential price inflections.
- Volatility-Shaded Equilibrium: Visual zone highlights areas of consolidation or energy buildup before breakouts.
- Breakout Alerts: Detects and signals bullish/bearish breakouts from triangular fib thresholds.
- Auto-Traced Triangle Wedge: Dotted wedge lines visually represent narrowing price action from range extremes to midpoint.
Ideal for traders who seek visual clarity, price symmetry, and alert-driven decision-making across multiple timeframes. Whether you're swing trading or intraday scouting, this script provides a richly layered roadmap of market potential.
Not financial advice.
Enhanced Neowave Wave 1 Finder with ZigZagThis script is an advanced technical analysis indicator for the TradingView platform, written in Pine Script version 5. Its primary goal is to identify potential Elliott Wave "Wave 1" patterns, enhanced with principles from Neowave theory and a custom ZigZag indicator for more accurate pivot detection. The script is designed to be overlaid on the main price chart.
Core Functionality: Blending ZigZag and Neowave
The indicator's methodology is a two-part process. First, it identifies significant price swings using a robust ZigZag indicator. Then, it analyzes these swings based on a set of rules derived from Neowave and classic technical analysis to validate them as potential Wave 1 patterns.
Part 1: ZigZag Integration
The first major component is a comprehensive ZigZag indicator that forms the foundation for all subsequent analysis.
Pivot Detection: The pivots() function is the engine of the ZigZag. It scans the historical price data for significant high and low points (pivots) over a user-defined Length.
Segment Drawing: Once pivots are identified, the script draws lines connecting them, creating the classic ZigZag pattern on the chart.
Extended Direction & Ratios: This is an enhanced feature. The script doesn't just identify highs and lows; it categorizes them as:
Higher High (HH) or Lower High (LH)
Lower Low (LL) or Higher Low (HL)
This classification is crucial for understanding the market structure. It also calculates the price ratio of the most recent ZigZag leg relative to the previous one, which is used later for pattern validation.
Dynamic Updates: The ZigZag is not static. On each new bar, it can update its most recent pivot point if a new, more extreme price (a higher high or a lower low) is printed before the direction officially changes. This ensures the ZigZag is always reflecting the most current and significant price action.
Part 2: Neowave Wave 1 Finder
With the market structure defined by the ZigZag, the second part of the script applies a rigorous set of rules to identify potential Wave 1 patterns. A Wave 1 is the initial move of a new trend in Elliott Wave theory.
Key Validation Criteria
For a price move between two ZigZag pivots to be considered a valid Wave 1, it must pass a series of checks:
Significance: The move must have a minimum percentage change (Minimum Wave Length) and last for a minimum number of bars, filtering out insignificant noise.
Volume Confirmation: A genuine impulse wave is typically supported by increasing volume. The script checks if the volume during the potential Wave 1 is significantly higher than the recent average (Volume Increase Threshold).
Momentum Alignment: The direction of the wave must be confirmed by momentum indicators.
For a bullish (upward) Wave 1, the Relative Strength Index (RSI) must be in a bullish regime (above 50) and the MACD line must be above its signal line.
For a bearish (downward) Wave 1, the RSI must be below 50 and the MACD line must be below its signal line.
Structural Analysis (Impulse vs. Diagonal): The script attempts to differentiate between two types of Wave 1:
Impulse Wave: A strong, clean, and direct move.
Diagonal Wave: A more complex, overlapping, and often wedge-shaped pattern. This is identified by analyzing the time and price complexity of the move, along with the ZigZag leg ratios.
Wave 2 Retracement Check: A critical Neowave rule is that a valid Wave 1 must be followed by a valid Wave 2 retracement. The script looks at the next ZigZag leg to ensure it doesn't retrace more than 100% of the potential Wave 1. It also uses the ZigZag ratios to confirm the retracement falls within typical Fibonacci levels (e.g., 38.2% to 78.6%).
Display and User Interface
The script provides a rich visual experience to aid the trader in their analysis.
Wave Labels and Boxes: When a valid Wave 1 is detected, it is highlighted with a colored line (green for bullish, red for bearish) and a shaded background box. A label clearly marks it as "Wave 1 IMPULSE" or "Wave 1 DIAGONAL".
Fibonacci Retracement Levels: Upon detection of a Wave 1, the script automatically draws key Fibonacci retracement levels (38.2%, 50%, 61.8%, 78.6%). These levels are potential targets for the end of the subsequent Wave 2, offering potential entry points for a Wave 3 trade.
Information Labels: Additional labels provide at-a-glance confirmation of the conditions, showing whether volume and momentum criteria were met.
Customizable Inputs: Users have extensive control over the indicator's parameters, including the ZigZag length, volume thresholds, RSI levels, and the colors of all visual elements.
Alerts: The indicator can be configured to generate an alert whenever a new bullish or bearish Wave 1 pattern is confirmed, allowing traders to be notified of potential opportunities in real-time.
QEMO: Quantum Electromagnetic Oscillator (Safe Adjusted)This is a highly conceptual and oscillator and It attempts to model market dynamics by borrowing concepts from quantum physics and electromagnetism to create a unique oscillator. It does not represent any real physical phenomena but uses these concepts as metaphors for market forces.
Here is a breakdown of its core components:
1. Quantum Price Wavefunction (The Core Price Engine)
This is the most abstract part of the script. It tries to model price not as a single point, but as a "wavefunction" representing a distribution of probable future prices.
Volatility & Price Grid: It first calculates recent market volatility. Based on this volatility, it creates a dynamic grid of possible price levels (price_bins) around the current price.
Probability Density: It assigns a probability to each price level in the grid.
"Energy" Operators:
Kinetic Energy: Metaphorically represents the "momentum" or rate of change of the price probabilities.
Potential Energy: A force field that influences the probabilities, derived from a combination of volatility and trading volume.
Expected Price: After evolving these probabilities, it calculates a single "expected price" which is the weighted average of all prices in the grid, based on their final probabilities.
2. Electromagnetic Fields (Buying vs. Selling Pressure)
This section models the battle between buyers and sellers in a more familiar way:
E-Field (Electric/Buying): Represents buying pressure, calculated from upward price moves (close - open) multiplied by volume.
B-Field (Magnetic/Selling): Represents selling pressure, calculated from downward price moves (open - close) multiplied by volume.
Lorentz Force (F_net): This is the net force (E - B), representing the overall directional pressure in the market. A positive value means buyers are in control; a negative value means sellers are.
3. Entanglement Entropy (Systemic Risk/Stability)
This component aims to measure the market's stability or "systemic risk."
It calculates a form of auto-correlation on recent price returns.
A high degree of instability in this correlation results in a high "Entropy" (S) value.
Essentially, a high S suggests the market is chaotic and unpredictable (low stability), while a low S suggests it is more stable and trending.
4. Final QEMO Calculation & Plotting
All the components are combined to create the final oscillator value:
Final Value: The qemo value is a product of the expected_price, the amplified net force, and the market stability (1 - S).
Smoothing: This raw qemo value is then smoothed with an Adaptive Moving Average (AMA) to produce the final line that gets plotted on the chart.
Visualization:
The main oscillator line is plotted below the chart. Its color changes based on its value (e.g., blue for positive, red for negative).
The background color of the indicator pane changes based on the Entropy (S), providing an immediate visual cue of market stability (e.g., black for stable, white for chaotic).
The script also plots 99th and 1st percentile bands to help identify statistically extreme readings in the oscillator's value.
Anpassbare Zeitintervall LinienThe indicator offers the ability to draw vertical lines at custom-defined time intervals.
Within each of these intervals, the highest and lowest prices are automatically marked, providing clear visual reference points for market extremes.
Aggregated VolumeHow to Read the “Aggregated Volume” Signal
This indicator combines normalized volume, short-term volume bursts, pivot levels, VWAP, and a 200-period EMA to give you a multi-dimensional view of trading activity. Here’s how to interpret each component and synthesize them into actionable insights.
1. Custom Volume Signal (vSignal)
• Calculation
• vSignal = Sum of over bars, divided by the current price.
• A rising vSignal means more volume is being traded per unit of price, signaling growing interest relative to price level.
• Plot styling
• Bars are lime when (bullish volume days)
• Bars are orange when (bearish volume days)
How to read it
• Trend confirmation: Increasing lime bars alongside rising price suggests buyers in control.
• Warning sign: Rising orange bars on a down move indicate accelerating selling pressure.
• Divergence:
• Price making new highs while vSignal stalls or drops → potential top.
• Price making new lows while vSignal holds → potential bottom.
2. Short-Term Volume Bursts
Three semi-transparent histograms show how much the last 2, 5, and 10-bar raw volumes exceed (or fall below) the current vSignal:
• Blue = vol(2) – vSignal
• Green = vol(5) – vSignal
• Red = vol(10) – vSignal
If a colored bar sits above zero, that lookback’s volume is surging relative to the longer-term average (vSignal).
How to read it
• Clustered bursts:
• Blue + Green + Red above zero → strong, broad-based volume surge.
• Great for confirming breakouts and shakeouts.
• Isolated burst:
• Only Blue (> 0) on a small range bar → might be a false breakout or intrabar squeeze.
• Only Red (> 0) on a wide range → institutional involvement; act with caution.
3. Pivot Volume Levels (v & t)
• Every 21 bars, the script finds the highest and lowest vSignal values and plots them as shaded price levels:
• Magenta area = recent vSignal high (resistance)
• Cyan area = recent vSignal low (support)
How to read it
• Rejection/Break:
• Price approaches magenta zone and stalls → sellers defending that volume high.
• Break above magenta with high vSignal → likely sustained rally.
• Support flip:
• Cyan zone hold → buyers stepping in at heavy-volume lows.
• Break below cyan with rising vSignal → bearish conviction.
4. Midline Cross (Volume Equilibrium)
• A 10-bar SMA of
• Drawn as a faint white cross on price
How to read it
• Above midline → overall volume bias is skewed bullish.
• Below midline → bearish volume bias.
Crossovers of vSignal through this midline can signal shifts in underlying conviction.
5. VWAP & 200-Period EMA Overlays
• VWAP (transparent red if above price, green if below)
• EMA(200) plotted as aqua circles
How to read them
• VWAP tells you the intraday “value area.”
• Price above VWAP + rising vSignal = intraday buyers in charge.
• Price below VWAP + rising vSignal = aggressive sellers.
• EMA(200) gives you the longer-term trend.
• Above EMA200 = bullish regime
• Below EMA200 = bearish regime
6. Putting It All Together: Example Scenarios
1. Bullish Entry
• Price > EMA200 & VWAP is green
• vSignal rising in lime
• All three short-term bursts above zero
• Price near or breaking the magenta pivot with volume confirmation
2. Bearish Entry
• Price < EMA200 & VWAP is red
• vSignal rising in orange
• Two-bar burst (blue) spikes on a down bar
• Price failing at magenta pivot or breaking cyan support
3. Divergence Play
• Price makes new high, but vSignal peaks lower than last high → look for a reversal.
• Price drops to new low, but vSignal stays above its last low → prepare for a bounce.
By combining these layers—normalized volume, burst indicators, pivot levels, VWAP, and EMA—you get a clear map of where volume is clustering, which lets you anticipate support/resistance, gauge real interest, and spot potential reversals or breakouts with greater confidence.
First FVG📘 Indicator Description (English)
First FVG – NY Open is a TradingView indicator designed to automatically identify the first Fair Value Gap (FVG) that appears during the New York session, following the ICT (Inner Circle Trader) methodology.
It highlights institutional inefficiencies in price caused by imbalanced price action and helps traders spot high-probability entry zones, especially after the 9:30 AM EST (New York Open).
⚙️ How It Works
Session time: The indicator scans for FVGs starting at 9:32 AM (allowing 3 candles after the NY Open to form).
FVG Conditions:
Bullish FVG: When the high of 2 candles ago is lower than the low of the current candle and the middle candle is bullish.
Bearish FVG: When the low of 2 candles ago is higher than the high of the current candle and the middle candle is bearish.
Only the first FVG per session is drawn, as taught by ICT for setups like Judas Swing or NY Reversal models.
A colored box is drawn to represent the FVG zone.
A dotted horizontal line (CE) is drawn at the midpoint of the FVG box (Consequent Encroachment), a key level watched by smart money traders.
A dashed vertical line is drawn at 9:30 NY time to mark the open.
🧠 How to Use It
Wait for the NY Open (9:30 AM EST) – the indicator becomes active at 9:32 AM.
Watch for the first FVG box of the day. This is often a high-probability reaction zone.
Use the CE line (center of the FVG) as a reference for entries, rejections, or liquidity grabs.
Combine with market structure, PD Arrays, and liquidity concepts as taught by ICT for confluence.
The FVG box and CE line will extend forward for several candles for visual clarity.
🎛️ Customizable Settings
Session time (default: 09:32–16:00 NY)
FVG box color (up/down)
Text color
Max number of days to keep boxes on chart
Option to show or hide the 9:30 NY Open vertical line
20/40/6020/40/60 candle separator. Three lines only on all timeframes. Range length and height included. Doesn't mess up the scaling. Togglable elements and movable lines.
BUY in HASH RibbonsBUY in HASH Ribbons Indicator
The BUY in HASH Ribbons indicator is designed to identify Bitcoin miner capitulation phases, often referred to as "Springs," using hash rate data. These phases signal potential buying opportunities with historically low downside risk. Built for TradingView with Pine Script v6, it visualizes hash rate trends and generates actionable signals for traders.
Key Features
Hash Ribbons Analysis: Tracks Bitcoin miner capitulation through the relationship between short-term (30-day) and long-term (60-day) Simple Moving Averages (SMAs) of the hash rate.
Signal Visualization:
Gray Circle: Marks the start of capitulation (30-day SMA crosses below 60-day SMA).
White Circles: Indicate ongoing capitulation, with brighter white showing hash rate recovery (increasing short SMA).
Yellow Circle: Signals the end of capitulation (30-day SMA crosses above 60-day SMA).
Orange Circle: Represents a buy signal after full recovery, combining hash rate and price momentum for optimal entry.
Flexible Display:
Ribbons Mode: Plots the short and long SMAs as colored ribbons (red for capitulation, green for recovery).
Oscillator Mode: Shows the percentage difference between short and long SMAs as a histogram (red for negative, blue for positive).
Halving Events: Optionally plots Bitcoin halving dates with dashed lines and labels for context (2012, 2016, 2020, 2024).
Raw Hash Rate: Option to display raw hash rate data in EH/s (exahashes per second).
Alerts: Configurable alerts for capitulation, recovery, and buy signals.
How It Works
The indicator uses hash rate data from external sources (e.g., IntoTheBlock or Quandl) to calculate SMAs. Capitulation occurs when miners reduce activity, often during price declines, causing the short-term SMA to fall below the long-term SMA. Recovery is detected as the short-term SMA begins to rise, and a buy signal is generated when the hash rate recovers alongside bullish price action (10-day SMA crossing above 20-day SMA).
Inputs
Plot Type: Choose between "Ribbons" or "Oscillator" display.
Hash Rate Short SMA: Default 30 days, adjustable.
Hash Rate Long SMA: Default 60 days, adjustable.
Plot Signals: Enable/disable signal circles (capitulation, recovery, buy).
Plot Halvings: Show/hide Bitcoin halving events.
Plot Raw Hash Rate: Display raw hash rate data.
Source Hash Rate: Select data provider (e.g., IntoTheBlock or Quandl).
Why Use It?
Proven Strategy: Hash Ribbons, popularized by Capriole Investments, have historically identified strong Bitcoin buying opportunities post-capitulation.
Customizable: Tailor the indicator to your trading style with adjustable SMAs and display options.
Contextual Insight: Halving markers provide additional market context, as miner dynamics often shift post-halving.
Real-Time Alerts: Stay informed with alerts for key events, ideal for active traders.
Usage Notes
Timeframe: Best used on daily charts for accurate hash rate and price SMA calculations.
Data Sources: Ensure the selected hash rate source is reliable; IntoTheBlock is the default for consistency.
Risk Management: Combine with other indicators (e.g., RSI, MACD) and fundamental analysis for robust trading decisions.
Backtesting: Test the indicator on historical data to understand its performance in different market cycles.
Credits
Developed by Trader T (@thepfund). Inspired by the Hash Ribbons concept from Capriole Investments.
This indicator empowers traders to capitalize on Bitcoin’s miner-driven market cycles with clear, data-driven signals. Add it to your TradingView chart and start identifying high-probability entries today!
通用經濟數據年增率 (YoY %)主要觀看經濟數據使用
可將主數據統計週期切換月度年增率或季度年增率
希望能幫到有在關注經濟數據但沒有年增率的網友們
The primary purpose is to view economic data. We can switch the statistical period to monthly year-over-year (YoY) growth or quarterly year-over-year (YoY) growth.
This is intended to assist users who follow economic data but lack access to year-over-year growth rates.
Institutional Sessions Overlay (Asia/London/NY)Institutional Sessions Overlay is a professional TradingView indicator that visually highlights the main trading sessions (Asia, London, and New York) directly on your chart.
Customizable: Easily adjust session start and end times (including minutes) for each market.
Timezone Alignment: Shift session boxes using the timezone offset parameter so sessions match your chart’s timezone exactly.
Clear Visuals: Colored boxes and optional labels display session opens and closes for fast institutional market structure reference.
Toggle Labels: Show or hide session open/close labels with a single click for a clean or detailed look.
Intuitive UI: User-friendly grouped settings for efficient configuration.
This tool is designed for day traders, institutional traders, and anyone who wants to instantly recognize global session timing and ranges for SMC, ICT, and other session-based strategies.
How to use:
Set your chart to your local timezone.
Use the "Session timezone offset" setting if session boxes do not match actual session opens on your chart.
Adjust the hours and minutes for each session as needed.
Enable or disable labels in the “Display” settings group.
Tip: Use the overlay to spot session highs and lows, volatility windows, and institutional liquidity sweeps.
上涨动能This indicator calculates and visualizes the difference between the 20-period EMA and the 120-period EMA, helping traders identify medium-term momentum shifts in price action.
What It Does:
✅ Calculates the difference: Diff=EMA20 − EMA120
✅ Plots a line representing this difference for clear trend tracking.
✅ Plots a histogram (colored bars): Green bars indicate the EMA20 is above EMA120, suggesting bullish momentum. Red bars indicate the EMA20 is below EMA120, suggesting bearish momentum.
✅ Includes a zero baseline for easy reference: When the value crosses above zero, it indicates a potential bullish shift. When it crosses below zero, it indicates a potential bearish shift.
How to Use:
✅Use this indicator to visualize trend momentum in your crypto, forex, or stock trading.
✅Combine with your entry/exit signals (e.g., RSI, volume spikes, price action levels) to refine your strategy.
✅A rising Diff suggests strengthening bullish momentum, while a falling Diff suggests strengthening bearish momentum.
Why It’s Useful:
✅ Filters noise by using EMA smoothing on both short and long periods.
✅ Helps identify momentum shifts early without being overly sensitive to short-term volatility.
✅ Easy to integrate into trend-following or pullback strategies.
Opening Print Line (Customizable)📈 Opening Print Line (Customizable) is a simple yet powerful intraday tool that plots the opening price of the regular trading session (RTH) and keeps it visible across the entire chart—including during pre-market and extended hours.
💡 Key Features:
🕒 Configurable time zone selector (choose from Pacific, Mountain, Central, or Eastern)
🎯 Automatically detects and plots the 9:30 AM local opening price
🎨 Customizable line color
🏷️ Optional on-chart label with editable text
This indicator is especially useful for:
Identifying opening breakout or fade setups
Anchoring support/resistance levels to the session open
Building opening range strategies or scalp setups
🔧 Built with Pine Script v6. Fully compatible with stocks, ETFs, futures, or any instrument that follows a regular session open time.
⚠️ Note: The script assumes the regular trading session starts at 9:30 AM in the selected time zone. You can modify the time if using it for futures, crypto, or other markets.
Sessions by EC35 (Berlin Zeit)This script displays the Asia session (red), London session (green), and NY session (blue). Have fun
CM SlingShot System (Customizable)//@version=5
indicator("CM SlingShot System (Customizable)", overlay=true, shorttitle="CM_SSS")
// ==== 📌 INPUT SETTINGS ====
group1 = "Entry Settings"
sae = input.bool(true, title="📍 Show Aggressive Entry (pullback)?", group=group1)
sce = input.bool(true, title="📍 Show Conservative Entry (confirmation)?", group=group1)
group2 = "Visual Settings"
st = input.bool(true, title="🔼 Show Trend Arrows (top/bottom)?", group=group2)
sl = input.bool(false, title="🅱🆂 Show 'B' & 'S' Letters Instead of Arrows", group=group2)
pa = input.bool(true, title="🡹🡻 Show Entry Arrows", group=group2)
group3 = "MA Settings"
fastLength = input.int(38, title="Fast EMA Period", group=group3)
slowLength = input.int(62, title="Slow EMA Period", group=group3)
timeframe = input.timeframe("D", title="Timeframe for EMAs", group=group3)
// ==== 📈 EMA CALCULATIONS ====
emaFast = request.security(syminfo.tickerid, timeframe, ta.ema(close, fastLength))
emaSlow = request.security(syminfo.tickerid, timeframe, ta.ema(close, slowLength))
col = emaFast > emaSlow ? color.lime : emaFast < emaSlow ? color.red : color.gray
// ==== ✅ SIGNAL CONDITIONS ====
pullbackUp = emaFast > emaSlow and close < emaFast
pullbackDn = emaFast < emaSlow and close > emaFast
entryUp = emaFast > emaSlow and close < emaFast and close > emaFast
entryDn = emaFast < emaSlow and close > emaFast and close < emaFast
// ==== 🌈 CHART PLOTS ====
plot(emaFast, title="Fast EMA", color=color.new(col, 0), linewidth=2)
plot(emaSlow, title="Slow EMA", color=color.new(col, 0), linewidth=4)
fill(plot(emaSlow, title="", color=color.new(col, 0)), plot(emaFast, title="", color=color.new(col, 0)), color=color.silver, transp=70)
// Highlight bars
barcolor(sae and (pullbackUp or pullbackDn) ? color.yellow : na)
barcolor(sce and (entryUp or entryDn) ? color.aqua : na)
// Trend arrows
upTrend = emaFast >= emaSlow
downTrend = emaFast < emaSlow
plotshape(st and upTrend, title="UpTrend", style=shape.triangleup, location=location.belowbar, color=color.green)
plotshape(st and downTrend, title="DownTrend", style=shape.triangledown, location=location.abovebar, color=color.red)
// Entry indicators
plotarrow(pa and entryUp ? 1 : na, colorup=color.green, offset=-1)
plotarrow(pa and entryDn ? -1 : na, colordown=color.red, offset=-1)
plotchar(sl and entryUp ? low - ta.tr : na, char="B", location=location.absolute, color=color.green)
plotchar(sl and entryDn ? high + ta.tr : na, char="S", location=location.absolute, color=color.red)
Multi-Coin Scanner (Part 4) · Bryce Style [BYBIT]ulls 15-minute OHLCV data for each symbol.
Flags bars that meet all of these conditions:
Price closes above the highest high of the previous len candles.
Current candle closes above its own open and above the previous candle’s high (bullish engulfing).
Volume ≥ 20-period SMA of volume (spike).
Candle body is at least bodyThreshold (30 %) of the candle’s total range.
When a bar qualifies, it places a red “💥” label and triggers an alert message (symbol breakout @ price).
Asset Premium/Discount Monitor📊 Overview
The Asset Premium/Discount Monitor is a tool for analyzing the relative value between two correlated assets. It measures when one asset is trading at a premium or discount compared to its historical relationship with another asset, helping traders identify potential mean reversion opportunities, or pairs trading opportunities.
🎯 Use Cases
Perfect for analyzing:
NASDAQ:MSTR vs CRYPTO:BTCUSD - MicroStrategy's premium/discount to Bitcoin
NASDAQ:COIN vs BITSTAMP:BTCUSD - Coinbase's relative value to Bitcoin
NASDAQ:TSLA vs NASDAQ:QQQ - Tesla's premium to tech sector
Regional banks AMEX:KRE vs AMEX:XLF - Individual bank stocks vs financial sector
Any two correlated assets where relative value matters
Example of a trade: MSTR vs BTC - When indicator shows MSTR at 95% percentile (extreme premium): Short MSTR, Buy BTC. Then exit when the spread reverts to the mean, say 40-60% percentile.
🔧 How It Works
Core Calculation
Ratio Analysis: Calculates the price ratio between your asset and the correlated asset
Historical Baseline: Establishes the "normal" relationship using a 252-day moving average. You can change this.
Premium Measurement: Measures current deviation from historical average as a percentage
Statistical Context: Provides percentile rankings and standard deviation bands
The Math
Premium % = (Current Ratio / Historical Average Ratio - 1) × 100
🎨 Customization Options
Correlated Asset: Choose any symbol for comparison
Lookback Period: Adjust historical baseline (50-1000 days)
Smoothing: Reduce noise with moving average (1-50 days)
Visual Toggles: Show/hide bands and percentile lines
Color Themes: Customize premium/discount colors
📊 Interpretation Guide
Premium/Discount Reading
Positive %: Asset trading above historical relationship (premium)
Negative %: Asset trading below historical relationship (discount)
Near 0%: Asset at fair value relative to correlation
Percentile Ranking
90%+: Near recent highs - potential selling opportunity
10% and below: Near recent lows - potential buying opportunity
25-75%: Normal trading range
Signal Classifications
🔴 SELL PREMIUM: Asset expensive relative to recent range
🟡 Premium Rich: Moderately expensive, monitor for reversal
⚪ NEUTRAL: Fair value territory
🟡 Discount Opportunity: Moderately cheap, potential accumulation zone
🟢 BUY DISCOUNT: Asset cheap relative to recent range
🚨 Built-in Alerts
Extreme Premium Alert: Triggers when percentile > 95%
Extreme Discount Alert: Triggers when percentile < 5%
⚠️ Important Notes
Works best with highly correlated assets
Historical relationships can change - monitor correlation strength
Not investment advice - use as one factor in your analysis
Backtest thoroughly before implementing any strategy
🔄 Updates & Future Features
This indicator will be continuously improved based on user feedback. So... please give me your feedback!
Simple DCA Strategy----
### 📌 **Simple DCA Strategy with Backtest Date Filter**
This strategy implements a **Dollar-Cost Averaging (DCA)** approach for long positions, including:
* ✅ **Base Order Entry:** Starts a position with a fixed dollar amount when no position is open.
* 🔁 **Safety Orders:** Buys additional positions when the price drops by a defined percentage, increasing position size with each new entry using a multiplier.
* 🎯 **Take Profit Exit:** Closes all positions when the price reaches a profit target (in % above average entry).
* 🗓️ **Backtest Date Range:** Allows users to specify a custom start and optional end date to run the strategy only within that time window.
* 📊 **Plots:** Visualizes average entry, take profit level, and safety order trigger line.
#### ⚙️ Customizable Inputs:
* Base Order Size (\$)
* Price Deviation for Safety Orders (%)
* Maximum Safety Orders
* Order Size Multiplier
* Take Profit Target (%)
* Start and End Dates for Backtesting
This is a **long-only strategy** and is best used for backtesting performance of DCA-style accumulation under different market conditions.
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Mein Skript//@version=5
indicator("CAN SLIM Filter", overlay=true)
// Beispielhafte Kriterien
eps_growth = input.float(25, "EPS-Wachstum (%)")
rel_volume = input.float(1.5, "Relatives Volumen")
// Simulierte Beispieldaten
mock_eps_growth = ta.rma(close / close - 1, 90) * 100
mock_rel_volume = volume / ta.sma(volume, 50)
plotshape(mock_eps_growth > eps_growth and mock_rel_volume > rel_volume, title="CAN SLIM Match", location=location.belowbar, color=color.green, style=shape.labelup)
TSI Indicator with Trailing StopTSI Indicator with Advanced Risk Management & Tick-Based Position Tracking
This comprehensive TSI (True Strength Index) indicator combines momentum analysis with professional risk management features, designed for active traders who need precise entry/exit signals with built-in position management.
Key Features:
🔹 Enhanced TSI Calculation - Classic TSI with customizable periods and signal line for crossover detection
🔹 Smart Signal Filtering - Threshold-based entries with momentum confirmation to reduce false signals
🔹 Tick-Based Risk Management - Stop loss and take profit levels calculated in ticks for precise position sizing
🔹 Advanced Trailing Stop - Dynamic trailing stop that activates after minimum profit threshold
🔹 Position Tracking - Real-time P&L calculation and position status monitoring
🔹 Visual Dashboard - Clean information panels showing current signals, position status, and key metrics
🔹 Background Coloring - Instant visual feedback for active positions
🔹 Comprehensive Alerts - Entry signals, trailing stop activation, and position exit notifications
Customizable Settings:
TSI periods (Long/Short/Signal lengths)
Risk parameters (Stop Loss/Take Profit in ticks)
Trailing stop configuration
Signal thresholds for entry filtering
Display options for clean chart presentation
Perfect for: Day traders, scalpers, and swing traders who need precise entries with disciplined risk management. Works on any timeframe and instrument that supports tick-based calculations.
The indicator plots all levels directly on the chart with color-coded risk zones, making it easy to visualize your trade setup at a glance. Educational tool for understanding TSI momentum patterns combined with systematic risk management principles.
Note: This is an educational indicator for analysis purposes. Past performance does not guarantee future results.
Momentum Buy/Sell IndicatorMomentum indicator that needs to be followed and not relied upon completely
