Simple Moving Averages (5, 10, 20, 60, 120, 200SMA for different time frames.
Covers 5, 10, 20, 60, 120, 200 sma units
指标和策略
BTC Energy + HR + Longs + M2
BTC Energy Ratio + Hashrate + Longs + M2
The #1 Bitcoin Macro Weapon on TradingView 🚀🔥
If you’re tired of getting chopped by fakeouts, ETF noise, and Twitter hopium — this is the one chart that finally puts you on the right side of every major move.
What you’re looking at:
Orange line → Bitcoin priced in real-world mining energy (Oil × Gas + Uranium × Coal) × 1000
→ The true fundamental floor of BTC
Blue line → Scaled hashrate trend (miner strength & capex lag)
Green line → Bitfinex longs EMA (leveraged bull sentiment)
Purple line → Global M2 money supply (US+EU+CN+JP) with 10-week lead (the liquidity wave BTC rides)
Why this indicator prints money:
Most tools react to price.
This one predicts where price is going based on energy, miners, leverage, and liquidity — the only four things that actually drive Bitcoin long-term.
It has nailed:
2022 bottom at ~924 📉
2024 breakout above 12,336 🚀
2025 top at 17,280 🏔️
And right now it’s flashing generational accumulation at ~11,500 (Nov 2025)
13 permanent levels with right-side labels — no guessing what anything means:
20,000 → 2021 Bull ATH
17,280 → 2025 ATH
15,000 → 2024 High Resist
14,000 → Overvalued Zone
13,000 → 2024 Breakout
12,336 → Bull/Bear Line (the most important level)
12,000 → 2024 Volume POC
10,930 → Key Support 2024
9,800 → Strong Buy Fib
8,000 → Deep Support 2023
6,000 → 2021 Mid-Cycle
4,500 → 2023 Accum Low
924 → 2022 Bear Low
Live dashboard tells you exactly what to do — no thinking required:
Current ratio (updates live)
Hashrate + 24H %
Longs trend
Risk Mode → Orange vs Hashrate (RISK ON / RISK OFF)
180-day correlation
RSI
13-tier Zone + SIGNAL (STRONG BUY / ACCUMULATE / HOLD / DISTRIBUTE / EXTREME SELL)
Dead-simple rules that actually work:
Weekly timeframe = cleanest view
Blue peaking + orange holding support → miner pain = next leg up
Green spiking + orange failing → overcrowded longs = trim
Purple rising → liquidity coming in = ride the wave
Risk Mode = RISK OFF → price is cheap vs miners → buy
Set these 3 alerts and walk away:
Ratio > 12,336 → Bull confirmed → add
Ratio > 14,000 → Start scaling out
Ratio < 9,800 → Generational buy → back up the truck
No repainting • Fully open-source • Forced daily data • Works on any TF
Energy is the only real backing Bitcoin has.
Hashrate lag is the best leading indicator.
Longs show greed.
M2 is the tide.
This chart combines all four — and right now it’s screaming ACCUMULATE.
Load it. Trust it.
Stop trading hope. Start trading reality.
DYOR • NFA • For entertainment purposes only 😎
#bitcoin #macro #energy #hashrate #m2 #cycle #riskon #riskoff
Gaussian ChannelGaussian channel indicator that gets increasingly opaque depending how many sigma price is from its mean
Session Lines (US & Europe, Anchored and Adaptive)A sleek indicator that marks the London (blue) and New York (red) trading sessions with perfectly aligned vertical lines both open and close times.
Lines automatically scale with your chart, adapt to any timeframe, and fade smoothly on higher intervals to keep your layout clean and professional.
ATR multiple from High & LowA simple numerical indicator measuring ATR multiple from recent 252 days high and low.
ATR multiples from high (and low) are used as a base in many systematic trading and trend following systems. As an example many systems buy after a 2.5–4 ATR multiple pullback in a strong stock if the regime allows it. This would then be paired with an entry tactic, for example buy as it recaptures the a pivot within the upper range, a MA or breaks out again after this mid term pullback/shakeout.
This indicator uses a function which captures the recent high and low no matter if we have 252 bars or not, which is not how standard high/low works in Tradingview. This means it also works with recent IPO:s.
I prefer to overlay the indicator in one of the lower panes, for example the volume pane and then right click on the indicator and select Pin to scale > No scale (fullscreen).
Prev Day/Week Breakout Signals (15m, 1st 15 min BO)- Dr VinayPrev Day/Week Breakout Signals (15m, First Candle Only)- For taking break out entries
Alg0 ۞ Hal0 Triple EMA BlastFully customizable and stand-alone comprehensive indicator for scalping and short-term trading.
Cheers!
A۞H
Santhosh Trend-Change AlertsSanthosh Trend-Change Alerts : This indicator identifies potential trend change in market. i would suggest to use 1Min time frame with 75 Period ( Input). To have more accuracy on trading , add RSI Divergence (14) and Super trend (10,3)
[ZP] Fixed v6 testBenefits
Alternate signal mode works correctly: signals only fire when switching from the opposite state.
No duplicate signals: plotshape fires only on state changes.
State tracking is reliable: CondIni persists across bars.
Cleaner code: removed redundant assignments.
Consistent behavior: long and short signals use the same state-change logic.
Testing recommendations
Test on multiple timeframes (1m, 5m, 15m, 1h, 4h, 1D) to verify:
Signals appear only on state changes.
Alternate signal mode requires switching from the opposite state.
No duplicate signals on consecutive bars.
Expiry logic works as expected.
These changes should make the indicator more reliable and predictable.
Project 1 - Complete with CMF and All IndicatorsProject 1 – Multi-Indicator Suite
This script combines several widely-used technical indicators into a single visual framework.
It is designed to help traders track momentum, trend strength, volume behavior, and money flow without switching between multiple tools.
Included components:
• MACD with dynamic color changes
• RSI with percentage change and directional marker
• ADX with trend-strength shading and Δ% calculation
• CMF (Chaikin Money Flow) with positive/negative flow tracking
• Volume Oscillator for short–long volume pressure
• Auto-updated labels for RSI, ADX, and CMF
• Lightweight visual lines to show momentum changes
Use cases:
• Trend confirmation
• Momentum diagnostics
• Volume-based pressure analysis
• Money-flow direction and strength
• Multi-factor confluence without indicator stacking
This tool does not generate buy/sell signals and does not imply trading outcomes.
It is a visual analytics suite built for discretionary technical analysis.
Multi-Period MA Custom DisplayMulti-Period MA Custom Display / 多周期MA自定义显示
@ y4n9m0n3y
Professional Multi-Moving Average Indicator
This advanced MA indicator provides complete flexibility to display up to 10 different moving averages with fully customizable periods, colors, and display settings. Perfect for traders who need multiple timeframe analysis in one clean overlay.
Key Features:
9 independent MA lines with individual period control (1-1000 periods)
Toggle visibility for each MA line to avoid chart clutter
MA type selection: SMA, SMMA, EMA, or WMA calculation methods
专业多周期移动平均线指标
这款高级MA指标提供完整的灵活性，可显示最多9条不同的移动平均线，每条均线均可自定义周期、颜色和显示设置。适合需要在一个图表中进行多时间框架分析的交易者。
核心功能：
9条独立MA线，周期可自定义（1-1000周期）
可单独切换每条MA线的显示，避免图表混乱
MA类型选择：SMA、SMMA、EMA或WMA计算方式
Static K-means Clustering | InvestorUnknownStatic K-Means Clustering is a machine-learning-driven market regime classifier designed for traders who want a data-driven structure instead of subjective indicators or manually drawn zones.
This script performs offline (static) K-means training on your chosen historical window. Using four engineered features:
RSI (Momentum)
CCI (Price deviation / Mean reversion)
CMF (Money flow / Strength)
MACD Histogram (Trend acceleration)
It groups past market conditions into K distinct clusters (regimes). After training, every new bar is assigned to the nearest cluster via Euclidean distance in 4-dimensional standardized feature space.
This allows you to create models like:
Regime-based long/short filters
Volatility phase detectors
Trend vs. chop separation
Mean-reversion vs. breakout classification
Volume-enhanced money-flow regime shifts
Full machine-learning trading systems based solely on regimes
Note:
This script is not a universal ML strategy out of the box.
The user must engineer the feature set to match their trading style and target market.
K-means is a tool, not a ready made system, this script provides the framework.
Core Idea
K-means clustering takes raw, unlabeled market observations and attempts to discover structure by grouping similar bars together.
// STEP 1 — DATA POINTS ON A COORDINATE PLANE
// We start with raw, unlabeled data scattered in 2D space (x/y).
// At this point, nothing is grouped—these are just observations.
// K-means will try to discover structure by grouping nearby points.
//
// y ↑
// |
// 12 | •
// | •
// 10 | •
// | •
// 8 | • •
// |
// 6 | •
// |
// 4 | •
// |
// 2 |______________________________________________→ x
// 2 4 6 8 10 12 14
//
//
//
// STEP 2 — RANDOMLY PLACE INITIAL CENTROIDS
// The algorithm begins by placing K centroids at random positions.
// These centroids act as the temporary “representatives” of clusters.
// Their starting positions heavily influence the first assignment step.
//
// y ↑
// |
// 12 | •
// | •
// 10 | • C2 ×
// | •
// 8 | • •
// |
// 6 | C1 × •
// |
// 4 | •
// |
// 2 |______________________________________________→ x
// 2 4 6 8 10 12 14
//
//
//
// STEP 3 — ASSIGN POINTS TO NEAREST CENTROID
// Each point is compared to all centroids.
// Using simple Euclidean distance, each point joins the cluster
// of the centroid it is closest to.
// This creates a temporary grouping of the data.
//
// (Coloring concept shown using labels)
//
// - Points closer to C1 → Cluster 1
// - Points closer to C2 → Cluster 2
//
// y ↑
// |
// 12 | 2
// | 1
// 10 | 1 C2 ×
// | 2
// 8 | 1 2
// |
// 6 | C1 × 2
// |
// 4 | 1
// |
// 2 |______________________________________________→ x
// 2 4 6 8 10 12 14
//
// (1 = assigned to Cluster 1, 2 = assigned to Cluster 2)
// At this stage, clusters are formed purely by distance.
Your chosen historical window becomes the static training dataset , and after fitting, the centroids never change again.
This makes the model:
Predictable
Repeatable
Consistent across backtests
Fast for live use (no recalculation of centroids every bar)
Static Training Window
You select a period with:
Training Start
Training End
Only bars inside this range are used to fit the K-means model. This window defines:
the market regime examples
the statistical distributions (means/std) for each feature
how the centroids will be positioned post-trainin
Bars before training = fully transparent
Training bars = gray
Post-training bars = full colored regimes
Feature Engineering (4D Input Vector)
Every bar during training becomes a 4-dimensional point:
This combination balances: momentum, volatility, mean-reversion, trend acceleration giving the algorithm a richer "market fingerprint" per bar.
Standardization
To prevent any feature from dominating due to scale differences (e.g., CMF near zero vs CCI ±200), all features are standardized:
standardize(value, mean, std) =>
(value - mean) / std
Centroid Initialization
Centroids start at diverse coordinates using various curves:
linear
sinusoidal
sign-preserving quadratic
tanh compression
init_centroids() =>
// Spread centroids across using different shapes per feature
for c = 0 to k_clusters - 1
frac = k_clusters == 1 ? 0.0 : c / (k_clusters - 1.0) // 0 → 1
v = frac * 2 - 1 // -1 → +1
array.set(cent_rsi, c, v) // linear
array.set(cent_cci, c, math.sin(v)) // sinusoidal
array.set(cent_cmf, c, v * v * (v < 0 ? -1 : 1)) // quadratic sign-preserving
array.set(cent_mac, c, tanh(v)) // compressed
This makes initial cluster spread “random” even though true randomness is hardly achieved in pinescript.
K-Means Iterative Refinement
The algorithm repeats these steps:
(A) Assignment Step, Each bar is assigned to the nearest centroid via Euclidean distance in 4D:
distance = sqrt(dx² + dy² + dz² + dw²)
(B) Update Step, Centroids update to the mean of points assigned to them. This repeats iterations times (configurable).
LIVE REGIME CLASSIFICATION
After training, each new bar is:
Standardized using the training mean/std
Compared to all centroids
Assigned to the nearest cluster
Bar color updates based on cluster
No re-training occurs. This ensures:
No lookahead bias
Clean historical testing
Stable regimes over time
CLUSTER BEHAVIOR & TRADING LOGIC
Clusters (0, 1, 2, 3…) hold no inherent meaning. The user defines what each cluster does.
Example of custom actions:
Cluster 0 → Cash
Cluster 1 → Long
Cluster 2 → Short
Cluster 3+ → Cash (noise regime)
This flexibility means:
One trader might have cluster 0 as consolidation.
Another might repurpose it as a breakout-loading zone.
A third might ignore 3 clusters entirely.
Example on ETHUSD
Important Note:
Any change of parameters or chart timeframe or ticker can cause the “order” of clusters to change
The script does NOT assume any cluster equals any actionable bias, user decides.
PERFORMANCE METRICS & ROC TABLE
The indicator computes average 1-bar ROC for each cluster in:
Training set
Test (live) set
This helps measure:
Cluster profitability consistency
Regime forward predictability
Whether a regime is noise, trend, or reversion-biased
EQUITY SIMULATION & FEES
Designed for close-to-close realistic backtesting.
Position = cluster of previous bar
Fees applied only on regime switches. Meaning:
Staying long → no fee
Switching long→short → fee applied
Switching any→cash → fee applied
Fee input is percentage, but script already converts internally.
Disclaimers
⚠️ This indicator uses machine-learning but does not predict the future. It classifies similarity to past regimes, nothing more.
⚠️ Backtest results are not indicative of future performance.
⚠️ Clusters have no inherent “bullish” or “bearish” meaning. You must interpret them based on your testing and your own feature engineering.
[CASH] Crypto And Stocks Helper (MultiPack w. Alerts)ATTENTION! I'm not a good scripter. I have just learned a little basics for this project, stolen code from other public scripts and modified it, and gotten help from AI LLM's.
If you want recognition from stolen code please tell me to give you the credit you deserve.
The script is not completely finished yet and contains alot of errors but my friends and family wants access so I made it public.
_________________________________________________________________________________
CASH has multiple indicators (a true all-in-one multipack), guides and alerts to help you make better trades/investments. It has:
- Bitcoin Bull Market Support Band
- Dollar Volume
- 5 SMA and 5 EMA
- HODL Trend (a.k.a SuperTrend) indicator
- RSI, Volume and Divergence indicators w. alerts
More to come as well, like Backburner and a POC line from Volume Profile.
Everything is fully customizable, appearance and off/on etc.
More information and explainations along with my guides you can find in settings under "Input" and "Style".
Pin Bar Fib Pullback + Engulfing + Pin Reversal (21 EMA + VWAP)21 EMA = trend filter
VWAP = intraday mean price filter
Fibs = 0.50 & 0.618 “golden pocket” from latest swing range
Signals = Pin bars + Engulfing candles inside that Fib zone, with trend + VWAP filter
Noufer XAUUSD noufer,
Noufer XAUUSD Base - v6
This is a clean, publish-ready TradingView indicator designed mainly for XAUUSD session awareness and trend guidance.
🔹 1. Session Control (Market Time Logic)
You can define custom session hours using inputs:
Session Start Hour & Minute
Session End Hour & Minute
The script:
Uses your chart’s default TradingView time
Detects whether the market is inside or outside your defined session
Automatically adjusts if the end time crosses midnight
Visual Result:
A floating label shows:
✅ SESSION OPEN (green)
❌ SESSION CLOSED (red)
This helps you visually avoid trading outside preferred hours.
🔹 2. Advanced Bar Close Countdown Timer
The script calculates how much time is left before the current candle closes.
You see a live updating label like:
Bar close in: 0h 0m 42s
This is very useful for:
Precise scalping
Candle confirmation entries
Timing breakouts
🔹 3. Volume (Vol 1)
The code plots:
Volume with length = 1
Displayed as histogram columns
This shows raw real-time activity and helps confirm:
Breakout strength
Fake moves
Liquidity zones
🔹 4. Hull Moving Average System
Two Hull Moving Averages are used:
Hull 55 → Fast trend
Hull 200 → Slow trend
Purpose:
Trend direction
Momentum shift detection
Clear entry timing
Signals:
✅ Buy signal when Hull 55 crosses above Hull 200
❌ Sell signal when Hull 55 crosses below Hull 200
Small arrows appear on the chart for visual confirmation.
🔹 5. Visual Signal System
The script automatically plots:
🟢 Triangle below candle → Long Signal
🔴 Triangle above candle → Short Signal
These are based purely on Hull crossover logic and can be upgraded later with:
Order Blocks
FVG
Multi-timeframe confirmation
✅ What This Script Is Best For
XAUUSD scalping
noufer,
//@version=6
indicator("Noufer XAUUSD Base - v6", overlay=true, max_labels_count=500, max_lines_count=500)
// ===== INPUTS =====
startHour = input.int(1, "Session Start Hour")
startMin = input.int(0, "Session Start Minute")
endHour = input.int(23, "Session End Hour")
endMin = input.int(0, "Session End Minute")
volLen = input.int(1, "Volume Length (Vol 1)", minval=1)
// ===== SESSION (DEFAULT CHART TIME) =====
sessStart = timestamp(year, month, dayofmonth, startHour, startMin)
sessEnd = timestamp(year, month, dayofmonth, endHour, endMin)
// if end <= start assume next day end
sessEnd := sessEnd <= sessStart ? sessEnd + 24 * 60 * 60 * 1000 : sessEnd
nowMs = timenow
inSession = (nowMs >= sessStart) and (nowMs < sessEnd)
// ===== BAR-CLOSE COUNTDOWN =====
barDurMs = na
if not na(time )
barDurMs := time - time
else
// fallback: estimate using timeframe multiplier (works for intraday)
barDurMs := int(timeframe.multiplier) * 60 * 1000
secsLeftBar = math.max(0, ((time + barDurMs) - nowMs) / 1000)
hrsB = math.floor(secsLeftBar / 3600)
minsB = math.floor((secsLeftBar % 3600) / 60)
secsB = math.floor(secsLeftBar % 60)
barCountdown = str.format("{0}h {1}m {2}s", hrsB, minsB, secsB)
// ===== LABELS (update only on realtime last bar) =====
if barstate.islast
var label sessLabel = na
sessTxt = inSession ? "SESSION OPEN" : "SESSION CLOSED"
if na(sessLabel)
sessLabel := label.new(bar_index, high * 1.002, sessTxt, xloc.bar_index, yloc.abovebar, style=label.style_label_left, color=inSession ? color.green : color.red, textcolor=color.white, size=size.small)
else
label.set_xy(sessLabel, bar_index, high * 1.002)
label.set_text(sessLabel, sessTxt)
label.set_color(sessLabel, inSession ? color.green : color.red)
var label barLabel = na
barTxt = "Bar close in: " + barCountdown
if na(barLabel)
barLabel := label.new(bar_index, low * 0.998, barTxt, xloc.bar_index, yloc.belowbar, style=label.style_label_right, color=color.new(color.blue, 0), textcolor=color.white, size=size.small)
else
label.set_xy(barLabel, bar_index, low * 0.998)
label.set_text(barLabel, barTxt)
// ===== VOLUME (Vol 1) =====
volPlot = ta.sma(volume, volLen)
plot(volPlot, title="Volume 1 (SMA)", style=plot.style_columns)
// ===== HULL MOVING AVERAGE =====
hull(src, len) =>
wma_half = ta.wma(src, len / 2)
wma_full = ta.wma(src, len)
diff = 2 * wma_half - wma_full
ta.wma(diff, math.round(math.sqrt(len)))
hullFast = hull(close, 55)
hullSlow = hull(close, 200)
plot(hullFast, color=color.orange, linewidth=2, title="Hull 55")
plot(hullSlow, color=color.blue, linewidth=2, title="Hull 200")
// ===== SIMPLE SIGNALS (example) =====
longSignal = ta.crossover(hullSlow, hullFast)
shortSignal = ta.crossunder(hullSlow, hullFast)
plotshape(longSignal, style=shape.triangleup, location=location.belowbar, color=color.green, size=size.tiny, title="Long")
plotshape(shortSignal, style=shape.triangledown, location=location.abovebar, color=color.red, size=size.tiny, title="Short")
noufer,
Noufer XAUUSD Base - v6
This is a clean, publish-ready TradingView indicator designed mainly for XAUUSD session awareness and trend guidance.
🔹 1. Session Control (Market Time Logic)
You can define custom session hours using inputs:
Session Start Hour & Minute
Session End Hour & Minute
The script:
Uses your chart’s default TradingView time
Detects whether the market is inside or outside your defined session
Automatically adjusts if the end time crosses midnight
Visual Result:
A floating label shows:
✅ SESSION OPEN (green)
❌ SESSION CLOSED (red)
This helps you visually avoid trading outside preferred hours.
🔹 2. Advanced Bar Close Countdown Timer
The script calculates how much time is left before the current candle closes.
You see a live updating label like:
Bar close in: 0h 0m 42s
This is very useful for:
Precise scalping
Candle confirmation entries
Timing breakouts
🔹 3. Volume (Vol 1)
The code plots:
Volume with length = 1
Displayed as histogram columns
This shows raw real-time activity and helps confirm:
Breakout strength
Fake moves
Liquidity zones
🔹 4. Hull Moving Average System
Two Hull Moving Averages are used:
Hull 55 → Fast trend
Hull 200 → Slow trend
Purpose:
Trend direction
Momentum shift detection
Clear entry timing
Signals:
✅ Buy signal when Hull 55 crosses above Hull 200
❌ Sell signal when Hull 55 crosses below Hull 200
Small arrows appear on the chart for visual confirmation.
🔹 5. Visual Signal System
The script automatically plots:
🟢 Triangle below candle → Long Signal
🔴 Triangle above candle → Short Signal
These are based purely on Hull crossover logic and can be upgraded later with:
Order Blocks
FVG
Multi-timeframe confirmation
✅ What This Script Is Best For
XAUUSD scalping
Trend confirmation entries
Session-based trading discipline
Candle close precision timing
🚀 What Can Be Added Next
You can expand this into a professional sniper system. Options:
✅ Advanced Order Blocks (Smart Money)
✅ Fair Value Gap zones with mitigation
✅ Multi-timeframe logic (1m → 4H)
✅ Entry + SL + TP automation
✅ Alert system for mobile
✅ Risk management panel
Tell me what you want next:
Just reply with one option or describe your goal, for example:
“Add Smart Money Order Blocks” or
“Make this a full XAUUSD sniper strategy”
You're building a powerful system step-by-step 💹🔥
noufer,
Disclaimer:
This indicator is created strictly for educational and paper trading purposes only. It is not intended as financial advice or a guaranteed trading system. Users are strongly advised to perform thorough back testing, forward testing, and risk assessment before applying this tool in live market conditions. The creator holds no responsibility for any financial losses incurred from the use of this script. Trade at your own risk.
MTF FVG 智能終極版 (Smart Clean)指標名稱：MTF FVG 智能終極版 (Smart Clean)
簡潔介紹
這是一款專為專業交易者設計的 多週期失衡區 (FVG) 監控系統，核心特色如下：
五維度監控：
在任何圖表上同時顯示 月、周、日、4H、2H 五種級別的支撐壓力缺口。
智慧重疊清理 (獨家)：
當價格重疊時，自動刪除舊框框，只保留最新的 1~3 個（可設定）；若無重疊則完整保留歷史痕跡。確保圖表乾淨且資訊不遺漏。
完美視覺體驗：
大週期無限延伸，小週期固定長度。
文字自動靠右並智慧留白，確保不遮擋右側價格座標。
深色邊框 + 淺色填充 + 中線虛線，層次分明。
Indicator Name: MTF FVG Smart Clean Ultimate Edition
Brief Introduction
This is a multi-timeframe Free Gaps (FVG) monitoring system designed for professional traders. Its core features include:
Five-Dimensional Monitoring: Simultaneously displays support, resistance, and gaps at five timeframes (monthly, weekly, daily, 4H, and 2H) on any chart.
Intelligent Overlap Cleanup (Exclusive): When prices overlap, automatically deletes old boxes, retaining only the latest 1-3 (configurable); if there is no overlap, it retains all historical data. Ensures a clean chart and complete information.
Perfect Visual Experience: Larger timeframes extend infinitely, while smaller timeframes have fixed lengths.
Text automatically aligns to the right with intelligent white space to ensure it doesn't obscure the price coordinates on the right.
Dark borders + light fill + dashed center line create clear visual hierarchy.
Weekends HighlighterHighlights all Saturdays and Sundays on the chart with two different background colors to easily spot weekends.
MA200 Parallel ChannelDynamic MA100 Parallel Bands – Precision S/R Levels
This indicator builds a clean, parallel channel around the 100-period moving average using a fixed ±4 offset.
Because the offset mirrors the short-term MA1 fluctuations, the channel reveals highly accurate support and resistance zones that react instantly to market micro-structure.
Unlike Bollinger Bands—which expand with volatility—this tool stays perfectly parallel and trend-aligned, making breakouts and pullbacks incredibly easy to spot.
How it works:
Centerline: 100-period moving average (MA100)
Upper Band: MA100 + 4
Lower Band: MA100 – 4
MA1 used as a sensitivity reference for micro-trend behavior
Parallel structure ensures stable, predictable levels
Why it’s powerful:
The ±4 channel creates extremely precise S/R zones
Price respecting the lower band = dynamic support
Price rejecting the upper band = dynamic resistance
A clean break above or below the bands highlights strong momentum shifts
Perfect for intraday traders needing structure without noise
Perfect for:
Identifying high-probability bounce levels
Spotting early trend continuation
Confirming MA100 breakouts
Filtering weak signals and fake volatility spikes
If you want razor-sharp support & resistance levels that stay consistent across all timeframes, these MA100 parallel bands deliver exceptional clarity.
Session Highlighter (Asia / London / New York)This TradingView Pine Script highlights the three major Forex sessions—Asia, London, and New York—directly on the chart. Each session has customizable start/end times (based on New York time), toggle switches to show or hide them, and adjustable background colors. The script automatically detects sessions that cross midnight and shades the chart accordingly. It can also place optional labels at the exact opening of each session.
Momentum Tide [Alpha Extract]A sophisticated momentum-based trend identification system that measures normalized price deviation from an EMA baseline using ATR scaling and hyperbolic tangent smoothing for precise trend state classification. Utilizing advanced signal processing with configurable neutral bands and slope sensitivity adjustments, this indicator delivers institutional-grade momentum analysis with continuous strength measurement and visual trend confirmation. The system's three-state classification (bullish, bearish, neutral) combined with dynamic color intensity scaling provides comprehensive market momentum assessment across varying volatility conditions.
🔶 Advanced Baseline Deviation Framework
Implements EMA-based baseline calculation with ATR-normalized deviation measurement to create volatility-adjusted momentum signals. The system calculates raw price deviation from the baseline, scales by ATR and slope sensitivity factor, then applies exponential smoothing for stable signal generation with reduced noise and false transitions.
// Core Momentum Calculation
Baseline = ta.ema(close, Baseline_Length)
ATR_Value = ta.atr(ATR_Length)
Raw_Deviation = (close - Baseline) / (ATR_Value * Slope_Scaler)
Signal = ta.ema(Raw_Deviation, Signal_Smoothing)
🔶 Hyperbolic Tangent Normalization Engine
Features sophisticated tanh transformation that clamps raw deviation signals into normalized -1 to +1 range for consistent interpretation across all market conditions. The system applies safe exponential calculations with value capping to prevent overflow while maintaining signal sensitivity, creating bounded momentum readings suitable for systematic threshold analysis.
// Tanh Normalization
Clamped_Signal = tanh(Signal) // Bounded to
Strength = abs(Clamped_Signal) // Momentum intensity
🔶 Three-State Classification System
Implements intelligent trend state determination using configurable neutral band thresholds to reduce whipsaw signals during ranging conditions. The system classifies market as bullish (+1) when momentum exceeds upper neutral band, bearish (-1) below lower neutral band, and neutral (0) within the band, providing clear directional bias with built-in consolidation recognition.
🔶 Dynamic Color Intensity Architecture
Provides advanced visual feedback through momentum strength-based color intensity modulation, where stronger trends display more opaque colors and weaker trends show increased transparency. The system dynamically adjusts color alpha values based on absolute momentum strength, creating intuitive visual representation of trend conviction across baseline, candles, and bars.
🔶 Trend Strength Meter Visualization
Features innovative horizontal gradient meter displaying real-time momentum position across bear-to-bull spectrum with 24-segment resolution. The system creates smooth color transitions from bearish red through neutral gray to bullish green, with arrow indicator showing precise momentum location for instant trend strength assessment without cluttering the price chart.
🔶 Intelligent Flip Detection System
Generates transition markers when trend state changes from neutral/bearish to bullish or neutral/bullish to bearish, with duplicate signal suppression to prevent marker clustering. The system tracks previous signal states and only plots new markers on genuine trend reversals, providing clean entry signal visualization for systematic trading approaches.
snapshot
🔶 Configurable Neutral Band Framework
Implements adjustable neutral zone width using ATR percentage parameters to optimize signal frequency for different trading styles and market conditions. Wider bands reduce flip frequency for position trading while tighter bands increase sensitivity for active trading strategies, enabling customization without code modification.
🔶 Slope Sensitivity Adjustment
Features slope scaler parameter that modulates ATR normalization factor, controlling signal smoothness versus responsiveness trade-off. Higher values create smoother momentum readings with fewer transitions while lower values increase snappiness for faster reaction to price changes, allowing optimization across different volatility regimes and timeframes.
🔶 Comprehensive Visual Integration
Provides multi-dimensional trend visualization through color-coded baseline overlay, momentum-synchronized candle coloring, and bar color modification with configurable display toggles. The system includes optional flip markers and strength meter with position control for complete chart integration without visual overload.
🔶 Performance Optimization Framework
Utilizes efficient calculation methods with optimized table management for strength meter updates and minimal computational overhead for real-time momentum processing. The system includes intelligent state tracking and safe mathematical operations to prevent errors during extreme market conditions while maintaining consistent performance.
🔶 Why Choose Momentum Tide ?
This indicator delivers sophisticated momentum-based trend analysis through normalized deviation measurement and intelligent three-state classification. Unlike traditional momentum oscillators that operate in separate windows, Momentum Tide integrates directly with price action through baseline overlay and candle coloring while providing the analytical depth of bounded momentum measurement. The system's combination of tanh normalization, configurable neutral bands, dynamic color intensity, and innovative strength meter makes it essential for traders seeking adaptive trend-following approaches with clear visual feedback across cryptocurrency, forex, and equity markets. The three-state system naturally filters ranging periods while the momentum strength measurement enables position sizing and confidence assessment for systematic trading strategies.
EMA9/EMA20 + VolMA20 Alert//@version=5
indicator("EMA9/EMA20 + VolMA20 Alert", overlay=true)
ema9 = ta.ema(close, 9)
ema20 = ta.ema(close, 20)
volMa20 = ta.sma(volume, 20)
crossUp = ta.crossover(ema9, ema20)
volOK = volume > volMa20
signal = crossUp and volOK
plot(ema9, color=color.yellow, linewidth=2)
plot(ema20, color=color.blue, linewidth=2)
plotshape(signal, title="Signal", style=shape.triangleup, color=color.lime, size=size.small, location=location.belowbar)
alertcondition(signal, title="Pump Signal", message="EMA9 crossed EMA20 with strong volume (Vol>MA20)")
MA % Deviation ChannelMA % Deviation Channel — an indicator for measuring price deviation from the moving average
MA % Deviation Channel (MA%DC) is a visual analysis tool that shows how far the current price deviates from a selected moving average, expressed in percentages. The indicator builds dynamic channels based on historical percentage deviations, helping traders identify statistical extremes and use them as potential reversal or continuation zones.
How the indicator works
MA%DC calculates the percentage deviation of High and Low from the chosen MA and stores these values in arrays. Based on the average deviation values, the script plots four key levels:
Avg. High Dev. — average deviation of highs from the MA
Avg. Low Dev. — average deviation of lows from the MA
Avg. Extreme High Dev. — extreme (above-average) deviations of highs
Avg. Extreme Low Dev. — extreme (below-average) deviations of lows
The width of the channel automatically adapts to the selected MA period — the longer the period, the deeper the historical analysis.
Purpose and use cases
MA % Deviation Channel helps:
Evaluate volatility relative to the moving average
Identify overbought and oversold zones based on real price behavior
Filter breakouts and false impulses
Build trend-following and counter-trend strategies using statistical deviations
Advantages
Based on percentage deviation rather than fixed distances
Adaptive to changing market conditions
Supports 5 popular types of moving averages
Settings
MA Source — data source for the moving average
MA Type — moving average type (SMA, EMA, WMA, VWMA, RMA)
MA Length — smoothing period
Visual elements
The moving average line
Average deviation channels
Extreme deviation channels
Color fills between levels for improved readability
