AlgoPilotX - Breakout & Breakdown Meter (v1)Version Note:
This is a revised and improved version of the AlgoPilotX – Breakout & Breakdown Meter. It includes expanded explanations of the underlying logic, variable usage, and originality to comply with TradingView guidelines.
AlgoPilotX – Breakout & Breakdown Meter is a structured trading tool that combines Fair Value Gap (FVG) detection, session-based support/resistance breakouts, and a clean market condition info panel. It’s designed to help traders spot potential setups early and confirm stronger breakouts or breakdowns with context from momentum, volatility, and trend indicators.
How It Works
Session Levels → The first candle high/low of the session defines dynamic support/resistance. Unlike static pivots, these levels update with each new trading session and reflect real intraday sentiment.
Fair Value Gaps (FVGs) → A three-candle imbalance highlights inefficiencies. When detected, the script marks the open of the third candle as a potential entry (light green/red arrow).
Pullback Confirmations → If price pulls back into session support/resistance and then breaks away strongly, a stronger entry signal (dark green/red arrow) is plotted.
Breakouts & Breakdowns → Additional arrows appear when price crosses decisively above resistance or below support.
Signal Hierarchy → Arrows vary by color/size:
Light = early/potential setups.
Dark/Large = stronger confirmations.
Info Panel Dashboard → RSI, MACD, Bollinger Bands, and EMAs are displayed in a compact table with both numeric values and Bullish/Bearish/Neutral states, color-coded for quick interpretation.
How the Functions and Variables Work Together
Session Levels (Support & Resistance)
The script uses time() and session inputs to identify the first candle of the chosen trading session.
Variables sessionHigh and sessionLow are stored with var so they persist until the next session.
These levels are then plotted as dynamic support/resistance lines. This approach is different from static pivots or daily highs/lows, because it adapts in real-time to the market open.
Fair Value Gap (FVG) Detection
Conditions check for three-candle imbalances ( low > high for bullish, high < low for bearish).
When detected, a potential entry is marked at the open of the third candle.
Variables fvgBull and fvgBear define this logic , making FVGs a core entry condition rather than a side overlay.
Entry Hierarchy (Light vs. Dark Arrows)
longPotentialEntry and shortPotentialEntry mark light green/red arrows as early signals.
pullbackToSupport and pullbackToResistance build on these by requiring price to return to session levels and then break away again.
This creates the dark green/red arrows for stronger entries, introducing a two-step filtering process.
Breakout & Breakdown Detection
breakAbove = ta.crossover(close, sessionHigh)
breakBelow = ta.crossunder(close, sessionLow)
These conditions confirm true breakouts or breakdowns beyond support/resistance, reducing noise.
Info Panel Construction
A table is created and updated each bar.
Functions like ta.rsi(), ta.ema(), ta.sma(), and ta.stdev() calculate RSI, MACD, EMAs, and Bollinger Bands.
Each indicator’s state is summarized into human-readable text (e.g., “Bullish,” “Bearish,” “Above,” “Oversold”) and displayed with color coding using the helper function f_stateColor().
Values are also displayed numerically (RSI, MACD histogram, EMA levels, BB width), making this a dashboard rather than just arrows on a chart.
Helper Function for States
f_stateColor(state) translates qualitative states into consistent colors (green for bullish/above, red for bearish/below, orange for neutral, purple for overbought/oversold).
This ensures that every signal in the info panel has a visual identity that traders can read instantly.
Alerts Integration
alertcondition() is tied to each major event: FVG potential entries, strong pullback confirmations, and breakout/breakdown signals.
This allows the script to be used for alerts, notifications and automation , not just visual charting.
How to Use
1. Default timeframe = 15m (adjustable).
2. The first session candle defines support & resistance.
3. Watch for arrows:
Light green (▲) below candle → Potential breakout long (FVG detected).
Dark green (▲) below candle → Strong breakout confirmation after pullback.
Light red (▼) above candle → Potential breakdown short (FVG detected).
Dark red (▼) above candle → Strong breakdown confirmation after pullback.
Larger arrows = higher confidence signals.
4. Check the Info Panel for context:
RSI → momentum
MACD → trend confirmation
Bollinger Bands → overbought/oversold
EMA20 & EMA50 → short- and medium-term trend bias
5. Always confirm with your own price action, volume, and risk management rules.
6. Easily move the Info Panel to any corner of the chart via settings to keep your view clear.
Why This Structure Is Original
Not a mashup : Instead of simply overlaying RSI, MACD, or EMAs, the script integrates them into a signal-filtering framework.
Dynamic anchoring: Session-based high/low variables make levels adaptive to intraday structure, unlike fixed pivots.
Dual entry tiering: Light vs. dark arrows are built by combining FVGs + pullback conditions, offering nuance most breakout scripts lack.
Dashboard-style panel: Variables are summarized into a real-time info box with both numbers and state labels, replacing multiple chart overlays with one compact tool.
Modular functions: Breakout, pullback, FVG detection, and indicator states are modularized with separate variables — making the script flexible, extendable, and unique in design.
Disclaimer
This script is for educational purposes only. It does not constitute financial advice and does not guarantee profitable outcomes. Always backtest thoroughly, paper trade, and use proper risk management before trading live.
Rata-Rata Pergerakan / Moving Averages
MACD Swing Trader MACD Swing Trader
Overview
The MACD Swing Trader is a Pine Script v5 indicator designed for swing trading on the BTC/USDT pair, optimized for 4-hour or daily timeframes. Built on the classic MACD (Moving Average Convergence Divergence) indicator, it incorporates a 200-period EMA trend filter and a unique feature to prevent consecutive Buy or Sell signals, ensuring cleaner and more reliable trade setups. This indicator is ideal for traders seeking high-probability entries and exits in the volatile crypto market, with a backtested win rate of approximately 80-87% on historical BTC/USDT data.
Features
MACD-Based Signals: Generates Buy signals on MACD line crossovers above the signal line (below zero) and Sell signals on crossunders (above zero), capturing momentum shifts.
EMA 200 Trend Filter: Only triggers Buy signals in uptrends (price > EMA 200) and Sell signals in downtrends (price < EMA 200), aligning trades with the broader market direction.
No Consecutive Signals: Prevents repetitive signals (e.g., no back-to-back Buy signals) until an opposite signal occurs, reducing noise and improving signal quality.
Visual Aids: Displays the EMA 200 line, color-coded trend background (green for uptrend, red for downtrend), and clear Buy/Sell labels on the chart.
Customizable Parameters: Adjustable MACD lengths (default: 12, 26, 9) and EMA length (default: 200) for fine-tuning to different market conditions.
Alerts: Built-in alert conditions for real-time notifications on Buy/Sell signals, compatible with TradingView's alert system.
Separate MACD Panel: Visualizes MACD and signal lines with a zero line for additional analysis.
How to Use
Setup: Add the indicator to TradingView by copying the Pine Script code into the Pine Editor and applying it to the BTC/USDT chart (recommended: 4h or daily timeframe).
Entry Rules:
Buy: Green "BUY" label appears below the price bar when MACD crosses above the signal line, MACD is below zero, and price is above EMA 200.
Sell: Red "SELL" label appears above the price bar when MACD crosses below the signal line, MACD is above zero, and price is below EMA 200.
Exit Rules: Use a trailing stop (e.g., ATR-based) or exit on the opposite signal. Aim for a risk-to-reward ratio of 2:1 or 3:1.
Backtesting: Validate performance using TradingView’s Strategy Tester. Historical backtests suggest a win rate of ~80-87% on BTC/USDT 4h, though results may vary.
Risk Management: Always use proper risk management (e.g., 1-3% risk per trade) and test thoroughly before live trading.
Notes
Market Specificity: Optimized for BTC/USDT due to its volatility and trending nature. Test on other pairs before use.
Customization: Adjust MACD or EMA parameters for different timeframes or assets. Consider adding volume filters for enhanced accuracy.
Risk Warning: Trading cryptocurrencies involves significant risk. Past performance does not guarantee future results. Only risk capital you can afford to lose.
Community Sharing
Feel free to share this indicator with the TradingView community! It’s designed to help swing traders capture high-probability setups while minimizing signal clutter. Feedback and suggestions for improvements are welcome.
JDB MA Breakout IndicatorAll credit goes to JDB_Trading . Follow on X.
This indicator visualises one of his strategies.
1. Detecting the dominant moving average.
2. Price is supposed to be at least 70 candles below it for buy signals/40 above for sells.
3. detects break on dominant MA + BB 20,2.
4. Used on W & M timeframes.
5. alerts possible.
StdDev Supertrend {CHIPA}StdDev Supertrend ~ C H I P A is a supertrend style trend engine that replaces ATR with standard deviation as the volatility core. It can operate on raw prices or log return volatility, with optional smoothing to control noise.
Key features include:
Supertrend trailing rails built from a stddev scaled envelope that flips the regime only when price closes through the opposite rail.
Returns-based mode that scales volatility by log returns for more consistent behavior across price regimes.
Optional smoothing on the volatility input to tune responsiveness versus stability.
Directional gap fill between price and the active trend line on the main chart; opacity adapts to the distance (vs ATR) so wide gaps read stronger and small gaps stay subtle.
Secondary pane view of the rails with the same adaptive fade, plus an optional candle overlay for context.
Clean alerts that fire once when state changes
Use cases: medium-term trend following, stop/flip systems, and visual regime confirmation when you prefer stddev-based distance over ATR.
Note: no walk-forward or robustness testing is implied; parameter choices and risk controls are on you.
The Dark Heaven Price Action indicatorcreated by professor Santhosh . The Dark Heaven trading academy Mysore! it will help to find the Higher High, Lower Lows of the market to enter the trade and trade in right direction.
Consensio with colouringConsensio MA - Short MA with Colouring
This is a trend-following indicator based on the stacking order of three Simple Moving Averages (SMAs) to determine market consensus and visualize strength using a monochrome scale.
Key Features:
Three Customizable SMAs:
Fast MA (Default: 2)
Standard MA (Default: 7)
Slow MA (Default: 30)
Consensus Index:
The indicator assigns a score from +3 (Strongest Buy) to -3 (Strongest Sell) based on the MAs' vertical order (e.g., Fast > Standard > Slow is +3).
Monochrome Bar Colouring:
Bullish Consensus (+1 to +3): Bars are coloured in shades of White to Light Gray.
Bearish Consensus (-1 to -3): Bars are coloured in shades of Black to Dark Gray.
The intensity of the colour directly reflects the strength of the consensus.
Dynamic MA Line Colouring:
Fast MA: Changes colour upon crossing the Standard or Slow MA to signal short-term momentum shifts.
Standard MA: Changes to Green/Red when crossing the Slow MA.
Slow MA: Changes to Green/Red only when the strongest consensus (+3 or -3) is achieved.
How to Interpret:
Strong Bullish Trend (+3): MAs are perfectly aligned (Fast > Standard > Slow) and the bar is pure White.
Strong Bearish Trend (-3): MAs are perfectly reversed (Slow > Standard > Fast) and the bar is pure Black.
Contradictory Signals: Use the Fast MA's colour changes (Dark Green/Red) to spot immediate momentum changes even if the bar colour indicates a weaker trend.
EMA + MACD Entry Signals （Jason Wang）EMA9、20、200 + MACD（12、26、9） Entry Signals ，严格的设置出入场条件
1.做多的k棒：
• EMA9 > EMA200
• EMA20 > EMA200
• EMA9 > EMA20
• MACD DIF > 0 且 DIF > DEM
• 入场信号：
• DIF 上穿 DEM
• 或 EMA9 上穿 EMA20
2.做空的k棒：
• EMA9 < EMA200
• EMA20 < EMA200
• EMA9 < EMA20
• MACD DIF < 0 且 DIF < DEM
• 入场信号：
• DIF 下穿 DEM
• 或 EMA9 下穿 EMA20
CDC Action Zone (TH) by MeowToolsThe CDC Action Zone indicator is like a stock market traffic light — it tells you when it’s green to go and when it’s red to stop. By combining just two EMAs (12 and 26), it highlights Buy and Sell zones clearly, cutting through market noise and keeping you on the right side of the trend. Think of it as a radar that spots the big moves before most people notice, giving you the confidence to ride the trend and exit before getting trapped. Meow 😺 give it a try and see how it can help your portfolio take off 🚀📈
Adaptive Market Regime Identifier [LuciTech]What it Does:
AMRI visually identifies and categorizes the market into six primary regimes directly on your chart using a color-coded background. These regimes are:
-Strong Bull Trend: Characterized by robust upward momentum and low volatility.
-Weak Bull Trend: Indicates upward momentum with less conviction or higher volatility.
-Strong Bear Trend: Defined by powerful downward momentum and low volatility.
-Weak Bear Trend: Suggests downward momentum with less force or increased volatility.
-Consolidation: Periods of low volatility and sideways price action.
-Volatile Chop: High volatility without clear directional bias, often seen during transitions or indecision.
By clearly delineating these states, AMRI helps traders quickly grasp the overarching market context, enabling them to apply strategies best suited for the current conditions (e.g., trend-following in strong trends, range-bound strategies in consolidation, or caution in volatile chop).
How it Works (The Adaptive Edge)
AMRI achieves its adaptive classification by continuously analyzing three core market dimensions, with each component dynamically adjusting to current market conditions:
1.Adaptive Moving Average (KAMA): The indicator utilizes the Kaufman Adaptive Moving Average (KAMA) to gauge trend direction and strength. KAMA is unique because it adjusts its smoothing period based on market efficiency (noise vs. direction). In trending markets, it becomes more responsive, while in choppy markets, it smooths out noise, providing a more reliable trend signal than static moving averages.
2.Adaptive Average True Range (ATR): Volatility is measured using an adaptive version of the Average True Range. Similar to KAMA, this ATR dynamically adjusts its sensitivity to reflect real-time changes in market volatility. This helps AMRI differentiate between calm, ranging markets and highly volatile, directional moves or chaotic periods.
3.Normalized Slope Analysis: The slope of the KAMA is normalized against the Adaptive ATR. This normalization provides a robust measure of trend strength that is relative to the current market volatility, making the thresholds for strong and weak trends more meaningful across different instruments and timeframes.
These adaptive components work in concert to provide a nuanced and responsive classification of the market regime, minimizing lag and reducing false signals often associated with fixed-parameter indicators.
Key Features & Originality:
-Dynamic Regime Classification: AMRI stands out by not just indicating trend or range, but by classifying the type of market regime, offering a higher-level analytical framework. This is a meta-indicator that provides context for all other trading tools.
-Adaptive Core Metrics: The use of KAMA and an Adaptive ATR ensures that the indicator remains relevant and responsive across diverse market conditions, automatically adjusting to changes in volatility and trend efficiency. This self-adjusting nature is a significant advantage over indicators with static lookback periods.
-Visual Clarity: The color-coded background provides an immediate, at-a-glance understanding of the current market regime, reducing cognitive load and allowing for quicker decision-making.
-Contextual Trading: By identifying the prevailing regime, AMRI empowers traders to select and apply strategies that are most effective for that specific environment, helping to avoid costly mistakes of using a trend-following strategy in a ranging market, or vice-versa.
-Originality: While components like KAMA and ATR are known, their adaptive integration into a comprehensive, multi-regime classification system, combined with normalized slope analysis for trend strength, offers a novel approach to market analysis not commonly found in publicly available indicators.
Pops EMA Breakout Suite - PDH/PDL + PMH/PML + 13/48/200📘 How to Use the Pops EMA Breakout Suite
This script combines Previous Day Levels, Pre-Market Levels, and your EMA fan (13/48/200) into a repeatable trading framework. It’s designed for SPY, QQQ, IWM, and leading stocks — but can be applied anywhere.
🔹 Step 1: Check the Opening Condition
Price must open inside yesterday’s high (PDH) and yesterday’s low (PDL).
This tells you the market is “balanced” and ready for a breakout trade.
🔹 Step 2: Mark the Pre-Market Range (4:00–9:30 ET)
The script automatically plots:
PMH = Pre-Market High (blue line)
PML = Pre-Market Low (blue line)
These are your first breakout trigger levels.
🔹 Step 3: Wait for the Break
If price breaks above PMH, look for longs/calls targeting PDH.
If price breaks below PML, look for shorts/puts targeting PDL.
If price chops between PMH and PML → this is the No-Trade Zone. Sit on hands.
🔹 Step 4: Use the 2-Min EMA Fan for Entry
On a 2-minute chart:
Fast EMA (13, yellow) → entry trigger.
Mid EMA (48, purple) → short-term trend guide.
Slow EMA (200, red) → big-picture filter.
Entry Rule:
After breakout, wait for a pullback to the 13 EMA.
Enter when price rejects and continues in breakout direction.
Stop-loss = just past the 13 EMA.
🔹 Step 5: Manage the Trade
First targets = PDH/PDL zones.
Optional scaling = VWAP, Fib retrace, or major support/resistance.
Trail remainder with the 13 EMA.
🔹 Step 6: Alerts & Automation
The script has built-in alerts you can set:
“Break Above PM High” → signals breakout long.
“Break Below PM Low” → signals breakout short.
“2-min Long Entry” → confirms pullback long.
“2-min Short Entry” → confirms pullback short.
👉 In short: Levels (PDH/PDL, PMH/PML) give you the roadmap. EMAs give you the timing.
VWAP Bollinger CrossBased on the crossover of the moving average and VWAP, this indicator can help you find a trend. It is not recommended to use it only for entries. Try it and I hope it can help you.
Multi EMA and Key Levels IndicatorKey Features:
Daily and Previous Day Levels
Plots today’s high and low.
Plots the previous day’s high (Y HOD) and low (Y LOD), with labels anchored to the price axis.
Premarket (Globex) High and Low
Tracks premarket session highs and lows (defined as 5:00 PM to 8:30 AM Chicago time).
Updates dynamically during the session and plots “GLOBEX HIGH” and “GLOBEX LOW” lines with labels.
Exponential & Simple Moving Averages
User can select 3 EMAs (default 8, 21, 200).
Plots EMAs with distinct colors.
Plots the 200-day SMA for longer-term trend context.
Open Close MA's 📈📉⸻
📈 Open Close MA’s
This indicator helps you see the relationship between the market’s open and close prices by tracking them with Moving Averages (MA’s).
4 different Moving Averages can be selected: EMA (Exponential), SMA (Simple), HMA (Hull), and SMMA (Smoothed).
For those who aren’t sure which Moving Average is “right for them”… here’s a basic breakdown:
- Smoothed is the slowest (trendy)
- Simple is less slow
- Exponential reacts faster
- Hull is fast, yet smooth, and can be predictive
Keep in mind, the Length of any Moving Average is essential to the timeframe and strategy you are running.
Visually, this is what the indicator does:
• One line follows the average of closing prices of each candle.
• Another line follows the average of opening prices of each candle.
• When the close average is above the open average → the market is leaning bullish ⬆️.
• When the close average is below the open average → the market is leaning bearish ⬇️.
The indicator makes this easy to see by coloring the area between the two lines green (bullish) or orange (bearish). You can also turn on optional buy/sell markers whenever the two lines cross.
NOTE: Depending on the Base Timeframe field, the two lines crossing can occur in rapid succession, and should not (in and of itself) be considered a reason to enter a trade Long or Short.
⸻
Customization
• Choose between EMA, SMA, HMA, or SMMA.
• Adjust colors and transparency for bullish/bearish zones.
• Optional signal markers show crossover points.
• Base Timeframe is in minutes (default 5m), increase/decrease to match your timeframe for the most responsive Open/Close Moving Averages along those candles. For longer term trend information, increase beyond your timeframe (example: 30m setting on a 5m chart).
⸻
• Close MA (c) and Open MA (o) are calculated separately using selected MA type.
• Dynamic length (len_i) scales based on base timeframe input (default 5m), so the smoothing adapts intelligently across different chart timeframes.
• Bull/Bear bias = c > o. The fill between the two lines switches colors accordingly.
• SMMA is implemented as a recursive calculation (similar to TradingView’s RMA, but explicitly coded here).
• Buy/Sell markers are triggered on ta.crossover(c, o) and ta.crossunder(c, o).
⸻ End of Line 📉 ———
TSLA Scalping Signals (Volume + RSI + MACD + VWAP)//@version=5
indicator("TSLA Scalping Signals (Volume + RSI + MACD + VWAP)", overlay=true, timeframe="", timeframe_gaps=true)
// =========================
// 사용자 입력(파라미터)
// =========================
// RSI 길이와 과매도/과매수 기준
rsiLen = input.int(5, "RSI 길이", minval=2)
rsiLow = input.int(35, "RSI 과매도 기준", minval=5, maxval=50)
rsiHigh = input.int(70, "RSI 과매수 기준", minval=50, maxval=95)
// MACD 파라미터
fastLen = input.int(12, "MACD Fast", minval=1)
slowLen = input.int(26, "MACD Slow", minval=2)
sigLen = input.int(9, "MACD Signal", minval=1)
// 거래량 스파이크 판단용
volSmaLen = input.int(20, "거래량 SMA 길이", minval=5)
volSpikeMult = input.float(1.5, "거래량 스파이크 배수", minval=0.5, step=0.1)
// 손절/익절(선택)
useStops = input.bool(true, "손절/익절 사용")
stopATRlen = input.int(14, "ATR 길이", minval=5)
stopATRmult = input.float(1.2, "손절 ATR 배수", minval=0.5, step=0.1)
tpRR = input.float(1.5, "익절 R 비율(손절의 배수)", minval=0.5, step=0.1)
// =========================
// 지표 계산부
// =========================
// VWAP: 단타 기준 핵심 추세선
vwap = ta.vwap(close)
// RSI(단기)
rsi = ta.rsi(close, rsiLen)
// MACD
macd = ta.ema(close, fastLen) - ta.ema(close, slowLen)
sig = ta.ema(macd, sigLen)
hist = macd - sig
// 거래량 스파이크: 현재 거래량이 거래량 SMA * 배수 이상인지
volSma = ta.sma(volume, volSmaLen)
volSpike = volume > volSma * volSpikeMult
// =========================
// 진입/청산 조건
// =========================
// 롱 진입 조건:
// 1) 가격 VWAP 위
// 2) MACD 상향 교차
// 3) RSI가 rsiLow 아래→위로 돌파
// 4) 거래량 스파이크
longCond = close > vwap and ta.crossover(macd, sig) and ta.crossover(rsi, rsiLow) and volSpike
// 롱 청산 조건(부분 청산/전체 청산 판단은 사용자 재량):
// A) RSI 과매수 도달, 또는
// B) MACD 하향 교차, 또는
// C) 가격이 VWAP 아래로 종가 이탈하면서 거래량 약화(현재 거래량 < volSma)
exitCond = (rsi > rsiHigh) or ta.crossunder(macd, sig) or (close < vwap and volume < volSma)
// =========================
// 시각적 표시
// =========================
plot(vwap, "VWAP", linewidth=2)
plotshape(longCond, title="BUY", style=shape.labelup, text="BUY", location=location.belowbar, size=size.tiny)
plotshape(exitCond, title="SELL", style=shape.labeldown, text="SELL", location=location.abovebar, size=size.tiny)
// 보조 하단창: RSI, MACD는 별도 패널이 일반적이므로 값만 툴팁용 표시
// (원하면 아래 plot들을 꺼도 됨)
rsiPlot = plot(rsi, title="RSI(단기)", color=color.new(color.blue, 0), display=display.none)
h1 = hline(rsiLow, "RSI 과매도", color=color.new(color.teal, 50))
h2 = hline(rsiHigh, "RSI 과매수", color=color.new(color.red, 50))
// =========================
// 간단 손절/익절 레벨(선택)
// =========================
// 매수 발생 바의 가격을 기준으로 ATR 손절/익절 레벨 산출
atr = ta.atr(stopATRlen)
var float entryPrice = na
var float stopPrice = na
var float takePrice = na
// 롱 진입 시 가격 고정
if (longCond)
entryPrice := close
stopPrice := useStops ? (close - atr * stopATRmult) : na
takePrice := useStops ? (close + (close - stopPrice) * tpRR) : na
// 청산 신호 시 초기화
if (exitCond)
entryPrice := na
stopPrice := na
takePrice := na
plot(entryPrice, "Entry", color=color.new(color.green, 60), style=plot.style_circles, linewidth=2)
plot(stopPrice, "Stop", color=color.new(color.red, 60), style=plot.style_linebr, linewidth=2)
plot(takePrice, "Take", color=color.new(color.blue, 60), style=plot.style_linebr, linewidth=2)
// =========================
// 알림 조건
// =========================
alertcondition(longCond, title="BUY Signal", message="BUY signal: VWAP↑, MACD cross↑, RSI cross↑, Volume spike.")
alertcondition(exitCond, title="SELL Signal", message="SELL signal: RSI high or MACD cross↓ or below VWAP with weak volume.")
200WMA Overlay + Z (heatmap mapping)This script enhances the classic 200-week moving average (200WMA), a long-term market reference line, by adding Z-Score mapping and optional helper bands for extended cycle analysis.
Features
200WMA Anchor: Plots the true 200-week simple moving average on any chart, a widely followed metric for long-term Bitcoin and crypto cycles.
Helper Multiples: Optional overlay of key historical ratios (×0.625, ×1.6, ×2.0, ×2.5) often referenced as cycle support/resistance zones.
Z-Score Mapping: Translates the ratio of price to 200WMA into a Z-Score scale (from +2.5 to –2.5), offering a statistical perspective on whether the market is undervalued, neutral, or overheated relative to its long-term mean.
On-Chart Label: Current Z-Score displayed directly on the last bar for quick reference.
How to Use
Long-Term Valuation: The 200WMA serves as a “fair value” baseline; large deviations highlight extended phases of market sentiment.
Heatmap Context:
Positive Z values typically mark undervaluation or favorable accumulation zones.
Negative Z values highlight overvaluation or profit-taking / distribution zones.
Strategic View: Best used to contextualize long-term market cycles, not for short-term signals.
Confluence Approach: This indicator should not be used alone — combine it with other technical or fundamental tools for stronger decision-making.
Originality
Unlike a basic 200WMA overlay, this version:
Incorporates multi-band ratios for extended cycle mapping.
Introduces a custom Z-Score scale tied directly to price/WMA ratios.
Provides both visual structure and statistical interpretation on a single overlay.
Trend Pro V2 [CRYPTIK1]Introduction: What is Trend Pro V2?
Welcome to Trend Pro V2! This analysis tool give you at-a-glance understanding of the market's direction. In a noisy market, the single most important factor is the dominant trend. Trend Pro V2 filters out this noise by focusing on one core principle: trading with the primary momentum.
Instead of cluttering your chart with confusing signals, this indicator provides a clean, visual representation of the trend, helping you make more confident and informed trading decisions.
The dashboard provides a simple, color-coded view of the trend across multiple timeframes.
The Core Concept: The Power of Confluence
The strength of any trading decision comes from confluence—when multiple factors align. Trend Pro V2 is built on this idea. It uses a long-term moving average (200-period EMA by default) to define the primary trend on your current chart and then pulls in data from three higher timeframes to confirm whether the broader market agrees.
When your current timeframe and the higher timeframes are all aligned, you have a state of "confluence," which represents a higher-probability environment for trend-following trades.
Key Features
1. The Dynamic Trend MA:
The main moving average on your chart acts as your primary guide. Its color dynamically changes to give you an instant read on the market.
Teal MA: The price is in a confirmed uptrend (trading above the MA).
Pink MA: The price is in a confirmed downtrend (trading below the MA).
The moving average changes color to instantly show you if the trend is bullish (teal) or bearish (pink).
2. The Multi-Timeframe (MTF) Trend Dashboard:
Located discreetly in the bottom-right corner, this dashboard is your window into the broader market sentiment. It shows you the trend status on three customizable higher timeframes.
Teal Box: The trend is UP on that timeframe.
Pink Box: The trend is DOWN on that timeframe.
Gray Box: The price is neutral or at the MA on that timeframe.
How to Use Trend Pro V2: A Simple Framework
Step 1: Identify the Primary Trend
Look at the color of the MA on your chart. This is your starting point. If it's teal, you should generally be looking for long opportunities. If it's pink, you should be looking for short opportunities.
Step 2: Check for Confluence
Glance at the MTF Trend Dashboard.
Strong Confluence (High-Probability): If your main chart shows an uptrend (Teal MA) and the dashboard shows all teal boxes, the market is in a strong, unified uptrend. This is a high-probability environment to be a buyer on dips.
Weak or No Confluence (Caution Zone): If your main chart shows an uptrend, but the dashboard shows pink or gray boxes, it signals disagreement among the timeframes. This is a sign of market indecision and a lower-probability environment. It's often best to wait for alignment.
Here, the daily trend is down, but the MTF dashboard shows the weekly trend is still up—a classic sign of weak confluence and a reason for caution.
Best Practices & Settings
Timeframe Synergy: For best results, use Trend Pro on a lower timeframe and set your dashboard to higher timeframes. For example, if you trade on the 1-hour chart, set your MTF dashboard to the 4-hour, 1-day, and 1-week.
Use as a Confirmation Tool: Trend Pro V2 is designed as a foundational layer for your analysis. First, confirm the trend, then use your preferred entry method (e.g., support/resistance, chart patterns) to time your trade.
This is a tool for the community, so feel free to explore the open-source code, adapt it, and build upon it. Happy trading!
For your consideration @TradingView
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Key signals:
☑️Entry trigger: Orange shape below bar + yellow entry line/label (at close price) when first slingshot fires in a bullish trend. Bars turn teal.
☑️Target: Green dashed line/label (entry + avg past ATR multiple × 14-period ATR).
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Dashboard (bottom-right, if enabled):
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☑️Win%: % of past targets hit.
☑️AvgTTH: Avg days to target hit.
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