ChartWise Pro 9/30 Complete Indicator Description Added!
This comprehensive description covers:
📊 Core Signal System - MA Crossover Strategy (9/30)
📦 Order Blocks (OB) - Institutional zones
📈 Fair Value Gaps (FVG) - Price imbalances
🔝 Double Top/Bottom - Reversal patterns
📍 Support & Resistance - Key levels with beeping
🚩 Swing Flags - Green/Red for highs/lows
📐 Chart Patterns - Channels, wedges, triangles
🔄 CHOCH - Change of Character
🧠 Smart Features - Auto-cleanup, sound alerts, toggles
🌐 Markets - Crypto, Futures, Forex, Options
🔌 Platforms - TradingView, Sierra, Rithmic, etc.
This description is now live on your About pag
Motif-Motif Chart
ChartWise Pro 9/30 Complete Indicator Description Added!
This comprehensive description covers:
📊 Core Signal System - MA Crossover Strategy (9/30)
📦 Order Blocks (OB) - Institutional zones
📈 Fair Value Gaps (FVG) - Price imbalances
🔝 Double Top/Bottom - Reversal patterns
📍 Support & Resistance - Key levels with beeping
🚩 Swing Flags - Green/Red for highs/lows
📐 Chart Patterns - Channels, wedges, triangles
🔄 CHOCH - Change of Character
🧠 Smart Features - Auto-cleanup, sound alerts, toggles
🌐 Markets - Crypto, Futures, Forex, Options
🔌 Platforms - TradingView, Sierra, Rithmic, etc.
This description is now live on your About pag
ChartWise Pro 9/30 SMA Complete Indicator Description Added!
This comprehensive description covers:
📊 Core Signal System - MA Crossover Strategy (9/30)
📦 Order Blocks (OB) - Institutional zones
📈 Fair Value Gaps (FVG) - Price imbalances
🔝 Double Top/Bottom - Reversal patterns
📍 Support & Resistance - Key levels with beeping
🚩 Swing Flags - Green/Red for highs/lows
📐 Chart Patterns - Channels, wedges, triangles
🔄 CHOCH - Change of Character
🧠 Smart Features - Auto-cleanup, sound alerts, toggles
🌐 Markets - Crypto, Futures, Forex, Options
🔌 Platforms - TradingView, Sierra, Rithmic, etc.
This description is now live on your About page! 📚
Current Weekly Open LineThis indicator is an indicator to make your weekly review.
It shows exactly where the last weekly open candle has been, so you don't have to search it manually.
Current Weekly Open LineVertical line on current weekly open.
To know exactly on every chart where the current weekly opening is, without having to do it manually.
TTM Squeeze Pro - IntradayTTM Squeeze Pro – Intraday (AI MTF Edition)
Design Rationale
This indicator is built to help traders identify when markets are consolidating, when volatility is building (squeeze), and when a breakout or trend is starting — all across multiple timeframes.
The design combines three powerful ideas:
Volatility Compression & Expansion (TTM Squeeze Logic):
By comparing Bollinger Bands (BB) and Keltner Channels (KC), the indicator detects when volatility contracts (BB inside KC). These moments often precede explosive moves. White dots on the BB basis line mark these “squeeze” periods.
Trend Strength & Direction (ADX System):
The ADX (Average Directional Index) measures how strong a trend is.
ADX rising above the threshold → trending market.
ADX falling below the threshold → consolidation.
The system classifies each bar as Trending Up, Trending Down, Consolidating, or Neutral, depending on ADX and momentum direction.
Multi-Timeframe (MTF) Alignment:
The same logic is applied to several timeframes (1m, 3m, 5m, 15m, 30m, 1h).
A compact table at the top-right shows each timeframe’s trend and squeeze strength.
This helps traders see whether short-term and higher timeframes are aligned, improving trade confidence and timing.
The AI Enhancer automatically adjusts all parameters (ADX, BB, KC lengths, and thresholds) depending on the current chart timeframe, keeping signals consistent between scalping and swing trading setups.
Trend and squeeze strengths are normalized on a 1–9 scale, giving users a quick numerical sense of trend power and squeeze intensity. The design emphasizes clarity, speed, and adaptability — critical for intraday trading decisions.
How to Use
Identify a Squeeze Setup:
Look for white dots on the chart — this marks low volatility and potential energy buildup.
Wait for Breakout Confirmation:
When the white dots disappear, volatility expands.
Check the MTF table — if multiple timeframes show green (uptrend) or red (downtrend) in the “TR” column, momentum is aligning.
Enter the Trade:
Go long if breakout happens above BB basis and most timeframes show green.
Go short if breakout happens below BB basis and most timeframes show red.
Exit or Manage Position:
When new white dots appear → volatility contracting again → consider exiting or tightening stops.
If MTF colors become mixed → trend losing strength.
In Summary
The TTM Squeeze Pro – Intraday AI MTF Indicator blends volatility analysis, trend strength, momentum, and multi-timeframe alignment into one adaptive tool.
Its design aims to simplify complex market behavior into a visual, data-backed format — enabling traders to catch high-probability breakout trends early and avoid false moves during low-volatility phases.
A+ Confluence Alert (BTC filter) — Kailash//@version=5
indicator("A+ Confluence Alert (BTC filter) — Kailash", overlay=true)
// === USER INPUTS ===
btcTicker = input.symbol("BINANCE:BTCUSDT", "BTC symbol (for bias filter)")
btcHTF = input.timeframe("60", "BTC Higher TF (for bias)") // 1H
localHTF = input.timeframe("15", "Local bias TF") // 15m
ema_fast_len = input.int(20, "EMA fast length")
ema_slow_len = input.int(50, "EMA slow length")
vol_sma_len = input.int(20, "Volume SMA length")
vol_mult = input.float(1.5, "Volume spike multiplier", step=0.1)
liquidity_look = input.int(12, "Liquidity sweep lookback (bars)")
session_filter = input.bool(true, "Use session filter (NY window)")
ny_start = input.session("1300-2000", "NY session (UTC)")
// === FETCH BTC HIGHER-TF BIAS ===
btc_close_htf = request.security(btcTicker, btcHTF, close, lookahead=barmerge.lookahead_off)
btc_ema_fast = request.security(btcTicker, btcHTF, ta.ema(close, ema_fast_len), lookahead=barmerge.lookahead_off)
btc_ema_slow = request.security(btcTicker, btcHTF, ta.ema(close, ema_slow_len), lookahead=barmerge.lookahead_off)
btc_bias_long = btc_ema_fast > btc_ema_slow
btc_bias_short= btc_ema_fast < btc_ema_slow
// === LOCAL BIAS (on localHTF) for current chart symbol ===
local_close = request.security(syminfo.tickerid, localHTF, close, lookahead=barmerge.lookahead_off)
local_ema_f = request.security(syminfo.tickerid, localHTF, ta.ema(close, ema_fast_len), lookahead=barmerge.lookahead_off)
local_ema_s = request.security(syminfo.tickerid, localHTF, ta.ema(close, ema_slow_len), lookahead=barmerge.lookahead_off)
local_long = local_ema_f > local_ema_s
local_short = local_ema_f < local_ema_s
// === VOLUME SPIKE ===
vol_sma = ta.sma(volume, vol_sma_len)
vol_spike = volume > vol_sma * vol_mult
// === SIMPLE LIQUIDITY SWEEP DETECTION (proxy) ===
// Long-sweep: price made new local low (below recent lowest) and then reclaimed above that prior low.
// Short-sweep: symmetrical for highs.
recent_low = ta.lowest(low, liquidity_look)
recent_high = ta.highest(high, liquidity_look)
sweep_long = (low < recent_low ) and (close > recent_low ) // low punched lower, then close reclaimed
sweep_short= (high > recent_high ) and (close < recent_high ) // high pumped, then reclaimed down
// === ORDER-BLOCK RECLAIM PROXY ===
// Define last opposite directional candle high/low as "OB"
var float ob_high = na
var float ob_low = na
// Update order blocks when opposite direction candles form
if close < open // bearish candle
ob_high := high
if close > open // bullish candle
ob_low := low
// Reclaim conditions: price closes above recent bearish-high (for long), or below recent bullish-low (for short)
reclaim_long = not na(ob_high) and close > ob_high
reclaim_short = not na(ob_low) and close < ob_low
// === SESSION FILTER ===
in_session = true
if session_filter
in_session := not na(time(timeframe.period, ny_start))
// === FULL CONFLUENCE LOGIC ===
// Long confluence: BTC bias long, local bias long, sweep_long or reclaim_long, volume spike, in session
long_confluence = btc_bias_long and local_long and (sweep_long or reclaim_long) and vol_spike and in_session
// Short confluence: BTC bias short, local bias short, sweep_short or reclaim_short, volume spike, in session
short_confluence = btc_bias_short and local_short and (sweep_short or reclaim_short) and vol_spike and in_session
// === PLOTTING SIGNALS ON CHART ===
plotshape(long_confluence, title="A+ Long", style=shape.labelup, location=location.belowbar, color=color.green, size=size.small, text="A+ Long")
plotshape(short_confluence, title="A+ Short", style=shape.labeldown, location=location.abovebar, color=color.red, size=size.small, text="A+ Short")
// === ALERTS ===
alertcondition(long_confluence, title="A+ Confluence Long", message="A+ LONG: BTC bias long, local bias long, sweep/OB reclaim + volume spike. Symbol: {{ticker}}. Time: {{time}}")
alertcondition(short_confluence, title="A+ Confluence Short", message="A+ SHORT: BTC bias short, local bias short, sweep/OB reclaim + volume spike. Symbol: {{ticker}}. Time: {{time}}")
// === INFO BOX ===
var label info = na
if barstate.islast
label.delete(info)
info := label.new(x=bar_index, y=high, yloc=yloc.abovebar, style=label.style_label_left, text=
"A+ Long: " + (long_confluence ? "YES" : "NO") + " " +
"A+ Short: " + (short_confluence ? "YES" : "NO") + " " +
"BTC HTF Bias: " + (btc_bias_long ? "LONG" : btc_bias_short ? "SHORT" : "NEUTRAL") + " " +
"Local Bias: " + (local_long ? "LONG" : local_short ? "SHORT" : "NEUTRAL") + " " +
"VolSpike: " + (vol_spike ? "YES" : "NO"),
color=color.new(color.blue, 80), textcolor=color.white)
Time Period Highlighter (UTC) — SPARTANHighlights sessions
00:00 UTC - 06:00 UTC
06:00 UTC - 12:00 UTC
12:00 UTC - 12:00 UTC
Peter Brandt's 3-Day Trailing StopPeter Brandt's 3-day trailing stop rule is a trend-following exit strategy where a sell signal is triggered after a stock has reached a new high, followed by a close below the low of that high day, and then a break below the low of the next day, which is called the "setup day". The rule can be reversed to exit a short position. For long positions, Day 1 is the "high day" with a new price high, Day 2 is the "setup day" where the price closes below the low of Day 1, and Day 3 is the "trigger day" where a sell is executed if the price falls below the low of the setup day.
Long exit signal
Day 1: High Day: — The stock makes a new high.
Day 2: Setup Day: — The stock closes below the low of Day 1. At this point, the exit signal is now active.
Day 3: Trigger Day: — A sell to close is triggered when the price breaks below the low of the "setup day" (Day 2).
Short exit signal
Day 1: Low Day: — The stock makes a new low.
Day 2: Setup Day: — The stock closes above the high of Day 1.
Day 3: Trigger Day: — A buy to close is triggered when the price breaks above the high of the "setup day" (Day 2).
Relative Momentum Rotation [CHE] Relative Momentum Rotation — Ranks assets by multi-horizon momentum for guided rotational selection with regime overlay
Summary
This indicator evaluates a universe of assets using a blended momentum measure across three time horizons, then ranks them to highlight top performers for potential portfolio rotation. It incorporates a regime filter to contextualize signals, tinting the background to indicate favorable or unfavorable market conditions and labeling transitions for awareness. By focusing on relative strength within a selectable universe, it helps identify leaders without relying on absolute thresholds, reducing noise from isolated trends and promoting disciplined asset switching.
Motivation: Why this design?
Traders often struggle with momentum signals that perform unevenly across market phases, such as overreacting in volatile periods or lagging in steady uptrends, leading to suboptimal rotations in multi-asset portfolios. The core idea of relative momentum rotation addresses this by comparing assets head-to-head within a defined group, blending short- and long-term changes to capture sustained strength while a regime overlay adds a macro layer to avoid fighting broader trends. This setup prioritizes peer-relative outperformance over standalone measures, aiding consistent selection in rotational strategies.
What’s different vs. standard approaches?
- Reference baseline: Traditional rate-of-change indicators track absolute price shifts over a single window, which can generate whipsaws in sideways markets or miss cross-asset opportunities.
- Architecture differences:
- Blends three distinct horizons into one composite score for a fuller momentum picture, rather than isolating one period.
- Applies ranking across a customizable universe (e.g., crypto or tech stocks) to emphasize relatives, not absolutes.
- Integrates a simple regime check via moving average crossover on a reference symbol, gating selections without overcomplicating the core logic.
- Outputs a dynamic table for visual ranking, plus subtle visual cues like background tints, instead of cluttered plots.
- Practical effect: Charts show clearer hierarchy among assets, with regime tints providing at-a-glance context—top ranks stand out more reliably in bull regimes, helping traders focus rotations without constant recalibration.
How it works (technical)
The indicator starts by assembling a list of symbols from the selected universe, including only those marked as active to keep the group focused. For each symbol, it gathers change rates over three specified horizons on a higher timeframe, blends them using user-defined weights (automatically normalized if they do not sum to one), and computes a single composite score. Scores are then ranked to select the top performers up to a set number, forming a rotation candidate list.
To add context, a regime state is determined by comparing the reference symbol's price to its moving average on daily bars—above signals a positive environment, below a negative one, with an option to invert this logic. The current chart's symbol is checked against the top list for inclusion status. All higher-timeframe data pulls are set to avoid lookahead bias, though updates may shift slightly until bars close. Persistent variables track the table state and prior regime to handle redraws efficiently, ensuring the display rebuilds only when the selection count changes.
Parameter Guide
Universe — Switches between predefined crypto or US-tech symbol sets for ranking peers. Default: Crypto. Trade-offs/Tips: Crypto for volatile assets; US-Tech for equities—match to your portfolio to avoid mismatched volatility.
Include Symbol 1–12 — Toggles individual symbols in the universe on or off. Default: Varies (true for top 10, false for extras). Trade-offs/Tips: Start with defaults for a balanced group; disable laggards to sharpen focus, but keep at least 5–8 for robust ranking.
Scoring Timeframe — Sets the aggregation period for momentum changes (e.g., monthly bars). Default: Monthly. Trade-offs/Tips: Monthly for long-term rotation; weekly for faster signals—increases noise if too short.
Weight 12m / 6m / 3m — Adjusts emphasis on long/medium/short horizons in the blend. Default: 0.50 / 0.30 / 0.20. Trade-offs/Tips: Heavier long-term for stability in trends; balance to fit asset class—test sums near 1.0 to avoid auto-normalization surprises.
ROC over MA instead of Close — Uses smoothed averages for change rates to reduce chop. Default: False. Trade-offs/Tips: Enable in noisy markets for fewer false tops; adds slight lag, so monitor for delayed rotations.
Top N to hold — Limits selections to this many highest-ranked assets. Default: 10. Trade-offs/Tips: Lower for concentrated bets (higher risk/reward); higher for diversification—align with your position sizing.
Mark current symbol if in Top N — Highlights if the chart's asset ranks in the selection. Default: True. Trade-offs/Tips: Useful for self-scanning; disable in multi-chart setups to declutter.
Enable Regime Filter — Activates macro overlay using reference symbol. Default: True. Trade-offs/Tips: Core for trend-aware trading; disable for pure momentum plays, but risks counter-trend entries.
Regime Symbol — Chooses the benchmark for regime (e.g., broad index). Default: QQQ. Trade-offs/Tips: Broad market proxy like SPY for equities; swap for BTC in crypto to match universe.
SMA Length (D) — Sets the averaging window for regime comparison. Default: 100. Trade-offs/Tips: Longer for fewer flips (smoother regimes); shorter for quicker detection—default suits daily checks.
Invert (rare) — Flips the regime logic (price above average becomes negative). Default: False. Trade-offs/Tips: Only if your view inverts the benchmark; test thoroughly as it reverses all tints/labels.
Show Ranking Table — Displays the ranked list with scores and regime status. Default: True. Trade-offs/Tips: Essential for selection; position tweaks help on crowded charts.
Table X / Y — Places the table on the chart (e.g., top-right). Default: Right / Top. Trade-offs/Tips: Corner placement avoids price overlap; middle for central focus in reviews.
Dark Theme — Applies inverted colors for visibility. Default: True. Trade-offs/Tips: Matches most TradingView themes; toggle for light backgrounds without losing contrast.
Text Size — Scales table font for readability. Default: Normal. Trade-offs/Tips: Smaller for dense data; larger on big screens—impacts only last-bar render.
Background Tint by Regime — Colors the chart faintly green/red based on state. Default: True. Trade-offs/Tips: Subtle cue for immersion; disable if it distracts from price action.
Label on Regime Flip — Adds text markers at state changes. Default: True. Trade-offs/Tips: Aids journaling flips; space them by disabling in low-vol periods to cut clutter.
Reading & Interpretation
The ranking table lists top assets by position, symbol, percentage score (higher indicates stronger blended momentum), and regime status—green "ON" for favorable, red "OFF" for cautionary. Background shifts to a light teal in positive regimes (suggesting alignment for longs) or pale red in negative ones (hinting at reduced exposure). Flip labels appear as green "Regime ON" above bars or red "Regime OFF" below, marking transitions without ongoing noise. If the current symbol appears in the top rows with a solid score, it signals potential hold or entry priority within rotations.
Practical Workflows & Combinations
- Trend following: Scan the table weekly on monthly charts for top entrants; confirm with higher highs/lows in price structure before rotating in. Use regime tint as a veto—skip buys in red phases.
- Exits/Stops: Rotate out of bottom-half ranks monthly; tighten stops below recent lows during regime flips to protect against reversals. Pair with volatility filters like average true range for dynamic sizing.
- Multi-asset/Multi-TF: Defaults work across crypto/equities on daily+ timeframes; for intraday, shorten scoring to weekly but expect more interim noise. Scale universe size with portfolio count—e.g., top 5 for aggressive crypto rotations.
Behavior, Constraints & Performance
Signals update on bar close to confirm higher-timeframe data, but live bars may preview shifts from security calls, introducing minor repaint until finalized—mitigated by non-lookahead settings, though daily regime checks can lag by one session. Arrays handle up to 12 symbols efficiently, with loops capped at selection size; max bars back at 5000 supports historical depth without overload. Resource use stays low, but dense universes on very long charts may slow initial loads.
Known limits include sensitivity to universe composition (skewed groups amplify biases) and regime lag at sharp market turns, potentially delaying rotations by a period.
Sensible Defaults & Quick Tuning
Defaults assume a 10-asset crypto rotation on monthly scoring with balanced weights and QQQ regime—ideal for intermediate-term equity-like plays. For too-frequent table reshuffles, extend scoring timeframe or weight longer horizons more. If selections feel sluggish, shorten the 3-month weight or enable MA smoothing off. In high-vol environments, raise top N and SMA length for stability; for crypto bursts, drop to weekly scoring and invert regime if using a volatile proxy.
What this indicator is—and isn’t
This is a selection and visualization tool for momentum-based rotations, layering relative ranks and regime context onto charts to inform asset picks. It is not a standalone system—pair it with entry/exit rules, position sizing, and risk limits. Nor is it predictive; it reacts to past changes and may underperform in prolonged ranges or during universe gaps.
Disclaimer
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts.
Best regards and happy trading
Chervolino
Where does it come from, specifically?
The principle of “composite momentum across multiple horizons” is common in TAA/rotation strategies. As a documented example: Keller/Butler use a composite 1/3/6/12-month momentum (“13612W”)—same idea, different windows/weights.
Robot Wealth
A practical vendor example: EPS Momentum calculates an RMR composite as a weighted mix of 12/6/3/1-month ranks (very close to “12/6/3”).
EPS Momentum
Related but not identical: StockCharts’ RRG measures the momentum rotation of relative strength—often mentioned in the same context, but it doesn’t have a fixed “12/6/3” composite.
chartschool.stockcharts.com
How is it typically computed?
ROC_12 + ROC_6 + ROC_3 (often scaled/weighted), then ranked vs. peers; the rotation periodically holds the top ranks in the portfolio. (Variants use different weights or additionally include 1-month—see the sources above.)
robotwealth.com
epsmomentum.com
BTC Confluence Score + Confirmed Signals (12m/1h)This script combines 7 different signals across multiple timeframes (12 min + 1 hour + BTC dominance), then only gives you a BUY or SELL when everything aligns.
It’s designed to filter out fake-outs and help you catch momentum reversals that stick.
WHAT IT’S DOING UNDER THE HOOD
Timeframes
12 min (fast) → short-term trigger (RSI, Stoch RSI, volatility)
1 hour (slow) → trend confirmation (EMA structure, RSI, MACD)
BTC Dominance (1 h) → strength/flow confirmation (is capital rotating into BTC or alts?)
This gives you a multi-timeframe confluence, which is what professional traders look for before entering a trade.
2. The 7 “Score” Ingredients
Each bar gets a “score” from –7 (super bearish) to +7 (super bullish) based on:
# Condition Bullish signal (+1) Bearish signal (–1)
1 RSI (12m) RSI > 50 RSI < 50
2 RSI (1h) RSI > 50 RSI < 50
3 MACD Histogram > 0 Histogram < 0
4 BTC Dominance level > 59.8 % < 59.8 %
5 BTC Dominance trend 3 EMA > 8 EMA 3 EMA < 8 EMA
6 1h EMAs trend 50 EMA > 200 EMA and price > 50 EMA 50 EMA < 200 EMA and price < 50 EMA
7 Volatility (ATR) Current ATR > average (momentum increasing) —
The Confluence Score bar at the bottom shows this numerically:
💚 +5 to +7 → Strong bullish conditions
❤️ –5 to –7 → Strong bearish conditions
🩶 Between –2 and +2 → Choppy / neutral
3️⃣ Confirmed Entry Logic (the clear triangles you see now)
You’ll now see only two real actionable markers:
✅ BUY (Green Triangle Up)
Triggered when:
Stoch RSI crosses upward on 12 min
RSI > 50 (momentum confirmation)
MACD histogram > 0 (trend shift)
Confluence score ≥ 4 (default threshold)
This means momentum + trend + structure + volume all agree on an upward move.
→ Ideal for going long or closing shorts.
🚨 SELL (Red Triangle Down)
Triggered when:
Stoch RSI crosses downward
RSI < 50
MACD histogram < 0
Confluence score ≥ 4 bearish
That’s your exit / short confirmation.
4️⃣ Color Bars (Score Strength)
At the bottom of the chart:
💚 Green Bars = full bullish confluence (+5 or more)
💛 Lime/Orange Bars = moderate bullish or early reversal
❤️ Red Bars = strong bearish confluence (–5 or less)
🩶 Gray Bars = chop/no edge
If you prefer visual simplicity, just use:
BUY = Green Triangle appears on green bars
SELL = Red Triangle appears on red bars
That’s your “double confirmation.”
🎯 HOW TO TRADE IT
⏱ Timeframes
Use 12 min for entries (fast scalps or 1–2 hr setups).
Confirm direction with the 1 hour timeframe — only trade in that direction.
💰 Entry Playbook
Signal What to Do
✅ Green Triangle appears Enter long or scale in. Set stop below recent swing low.
🚨 Red Triangle appears Exit long / enter short / scale out.
Bars gray or alternating Stay out — market is undecided.
🧮 Min Score Setting
Default = 4 (balanced).
Raise to 5 for cleaner, fewer signals.
Lower to 3 for more aggressive, frequent trades.
📲 Alerts
You can now create TradingView alerts using:
BUY Confirmed
SELL Confirmed
Set alert type:
“Once per bar close” — so you only get notified after confirmation, not mid-bar noise.
Y ou now have your own BTC AI Confluence System:
Filters all noise from RSI, MACD, EMAs, volatility, and BTC dominance
Waits for perfect alignment across multiple timeframes
Gives you one simple green (BUY) or red (SELL) signal
Lets you scalp 1–2 % moves safely or swing trade confirmations
Key LevelsKey levels marked out for the day.
Week, 4 hour, 1 hour, PM, and OR levels marked out for each session.
Relative Valuation OscillatorRelative Valuation Oscillator (RVO) Description
The Valuation_OTC.pine script is a Relative Valuation Oscillator for TradingView that compares the current asset against a reference asset (like Bitcoin, S&P 500, or Gold) to determine if it's relatively overvalued or undervalued.
Key Features:
1. Multiple Calculation Methods:
Simple Ratio - Compares price ratio deviation from average
Percentage Difference - Direct percentage comparison between assets
Ratio Z-Score - Statistical measure (standard deviations from mean)
Rate of Change Comparison - Compares momentum/performance
Normalized Ratio - 0-100 scale centered at zero
2. Customizable Settings:
Reference asset selection (default: BTC/USDT)
Adjustable lookback period (10-500 bars)
Optional smoothing with configurable period
Overbought/oversold level thresholds (default: ±1.5)
3. Trading Signals:
Overvalued - Oscillator above overbought level (red zone)
Undervalued - Oscillator below oversold level (green zone)
Neutral - Between thresholds
Crossover alerts for key levels
Divergence detection (bullish/bearish)
4. Visual Components:
Color-coded oscillator line (green when positive, red when negative)
Optional signal line for additional smoothing
Background shading for valuation zones
Information table showing current metrics and status
Shape markers for crossovers and divergences
5. Alert Conditions:
Overvalued/undervalued alerts
Zero-line crossovers
Divergence signals
This indicator is useful for pairs trading, relative strength analysis, and identifying when an asset is trading at extremes relative to a benchmark asset.
ICT Kill zones ver 2ICT Kill zones :
London 02:00 - b5:00
NY 7:00 -10:00
NY Lunch
13:00 - 14:30
*all times are NYC times
BTC Confluence Alert 1 Overall Purpose
This script is a custom TradingView indicator that scans for confluence (agreement) between:
BTC’s short-term and medium-term momentum (12-minute and 1-hour RSIs),
The MACD histogram (trend direction and momentum strength),
Bitcoin dominance (money flowing back into BTC).
When all three are bullish, it flashes green and triggers a single alert.
Buy vs Sell Liquidity + Difference (Bottom Right)Script Summary (Short Notes)
⚙️ Purpose
Tracks and displays Buy Volume vs Sell Volume difference during the day, based on candle direction.
Useful for spotting liquidity imbalance between buyers and sellers.
📊 How It Works
Volume Classification
If close > open → counts volume as Buy Volume
If close < open → counts volume as Sell Volume
Aggregation Timeframe
You can select a timeframe (1, 2, 3, 5, 15, 30 mins)
Script recalculates data from that aggregation level.
Daily Reset
At the start of a new trading day, totals reset to zero.
Cumulative Calculation
Adds all buy/sell volumes as the day progresses.
Calculates:
Total Volume
Difference (BUY − SELL)
Percentages (%)
ICT London & NY Kill ZonesICT london and NYC kiill zones marked on the chart automatically - use with NY time zone
DAMMU AUTOMATICAL AI ENRTY AND TARGET AND EXITMain Components
Supertrend System –
Detects market trend direction (Buy/Sell zones).
→ Green = Uptrend (Buy)
→ Red = Downtrend (Sell)
SMA Filter –
Uses 50 & 200 moving averages to confirm overall trend.
→ Price above both → Bullish
→ Price below both → Bearish
Buy/Sell Signals –
Generated when Supertrend flips direction and SMA confirms.
→ Triangle up = Buy
→ Triangle down = Sell
Take Profit / Stop Loss Levels –
Automatically calculated after Buy/Sell entry.
→ TP1, TP2, SL shown on chart
ADX (Sideways Zone Filter) –
If ADX < 25 → Market sideways → Avoid trades
Shows “No Trade Zone” area
Smart Money Concepts (SMC) Tools –
🔹 Market structure (HH, HL, LH, LL)
🔹 Order blocks (OB)
🔹 Equal highs/lows
🔹 Fair Value Gaps (FVG)
🔹 Premium & Discount zones
Helps find institutional entry points
Visual Display –
Color-coded background (trend zones)
Labels for buy/sell/structure
Optional FVG and order block boxes
Risk Management –
Input-based position sizing, SL & TP management
(to calculate profit levels and minimize loss)
SPX / Silver (XAGUSD) RatioThis script visualizes the S&P 500 Index to Silver ratio (SPX/Silver) — a powerful tool for monitoring the relative strength of equities vs. precious metals over time.
📊 Use Case:
Helps traders assess macro sentiment shifts between risk-on (equities) and risk-off (commodities).
A rising ratio indicates equity outperformance vs Silver, often in growth-driven bull markets.
A falling ratio suggests Silver is outperforming — potentially due to inflation, geopolitical risk, or weakening equities.
⚙️ Data & Calculation:
SPX: SP:SPX (S&P 500 Index)
Silver: TVC:SILVER
Formula:
SPX / Silver
(Both are spot/index prices, updated on daily timeframe)
📈 Interpretation:
📈 Ratio Rising → SPX outperforming Silver → Risk-on sentiment
📉 Ratio Falling → Silver outperforming SPX → Possible flight to safety or inflation hedge
🧠 Ideal For:
Macro trend analysis
Intermarket strategy development
Asset rotation decision-making
Spotting Silver bottoms during SPX/Silver peak zones
Ikas Forex SM ConceptsIkas Forex SM Concepts (SMC) – All-in-One Indicator
This indicator automatically analyzes market structure, liquidity zones, and institutional trading areas, allowing you to interpret price movements using the “Smart Money Concepts” approach.
It directly plots the most important concepts such as real-time BOS (Break of Structure), CHoCH (Change of Character), Order Block, Fair Value Gap (FVG), Equal High/Low, and Premium/Discount zones onto the chart.
⚙️ Features
Intra & Swing Market Structure: Shows micro and macro breaks (BOS/CHoCH) in price movement in real time.
Order Blocks: Marks potential areas where institutional participants open positions (bull/bear blocks).
Fair Value Gaps: Automatically detects price imbalances, identifies potential entry/exit zones.
Equal Highs & Lows (EQH/EQL): Highlights double top/bottom formations, visualizes potential liquidity traps.
Premium & Discount Zones: Shows whether the price is in an overvalued (premium) or undervalued (discount) zone.
MTF High/Low Levels: Automatically plots daily, weekly, and monthly high-low levels.
Style and Filtering: Offers flexible options such as color or monochrome views, BOS filtering, and FVG threshold settings.
📊 How to Use?
Trend Direction: CHoCH and BOS labels help identify trend reversals and continuations.
Liquidity Zones: Order blocks and equal high/low levels clarify institutional liquidity zones.
Entry/Exit Planning: When combined with FVG and Premium/Discount zones, high-probability trade points can be identified.
Chart Cleanliness: Since all these components are drawn automatically, the manual analysis burden is reduced.
💡 Why is it important?
Smart Money Concepts (SMC) is an approach popularized by ICT that analyzes price movement not only with formations but also with liquidity and market structure dynamics.
This indicator combines these concepts into a single tool, providing a visual, simple, and functional analysis environment.
