Sarina - 6 EMA Smart Signals - Colored AreasAdvanced 6 EMA system with smart MACD-based color coding. Features triple EMA pairs, dual signal types (MACD-only & FULL), real-time dashboard, and customizable displays. Perfect for multi-timeframe trend analysis with clear visual signals.
# 6 EMA Smart Signals with Colored Areas
## Overview
A sophisticated multi-timeframe indicator featuring three independent EMA systems with intelligent color coding based on MACD momentum. Perfect for traders who want clear visual signals and comprehensive trend analysis.
## Key Features
✅ **Triple EMA System** - 6 EMAs total (3 fast + 3 slow)
✅ **Smart Color Coding** - 4-color system based on MACD strength
✅ **Dual Signal Types** - MACD-only & FULL (EMA crossover) signals
✅ **Real-time Dashboard** - Compact table with all vital statistics
✅ **Fully Customizable** - Adjust every color, period, and display option
## How It Works
The indicator plots three pairs of EMAs, each representing different time horizons. The area between each fast/slow EMA pair is colored based on the corresponding MACD histogram's strength and direction. This creates an intuitive visual representation of momentum across multiple timeframes.
## Signal Interpretation
- **🟢 Green Triangles (Below Bar):** Buy signals
- **🔴 Red Triangles (Above Bar):** Sell signals
- **Faint Triangles:** MACD-only signals (quicker, more sensitive)
- **Bright Triangles:** FULL signals (EMA crossover + MACD, more reliable)
## Best Practices
1. **Start with defaults** - The preset periods (9/13, 21/34, 55/89) work well across most markets
2. **Use multi-system confirmation** - Wait for at least 2 systems to agree before entering
3. **Watch color alignment** - When all three areas turn the same color, the trend is strongest
4. **Combine with price action** - Use support/resistance levels for better entries
## Compatibility
- Works on all markets (Forex, Stocks, Crypto, Commodities)
- Suitable for all timeframes (1 minute to monthly)
- Compatible with other indicators
## Settings Guide
### EMA Systems
- **System 1 (Blue):** Short-term signals
- **System 2 (Green):** Medium-term trend
- **System 3 (Orange):** Long-term direction
### Display Options
- Toggle individual systems on/off
- Choose between MACD colors or solid fills
- Adjust signal visibility independently
## Disclaimer
This indicator is for educational and research purposes only. Past performance does not guarantee future results. Always practice proper risk management and consult with a financial advisor before trading.
Indicadores e estratégias
Esmeralda.AiHow to read the new visuals:
Labels: When a signal appears, the label now calculates the exact price for your Stop Loss (SL) and Take Profit (TP).
Lines: You will see short horizontal lines appear at the signal bar.
Green Line: This is your target.
Red Line: This is where you exit if the trade goes against you.
The 90% Rule: To keep the win rate as high as possible, you can manually move your TP to the Yellow Mean Line if the market looks like it is losing steam.
Liquidity Strain Detector [MarkitTick]💡 This indicator provides a specialized method for detecting market anomalies where price movement becomes disconnected from typical volume profiles, signaling potential exhaustion events. By combining statistical analysis of liquidity (price impact) with a directional trend filter, the tool aims to highlight moments of extreme market stress, such as panic selling or euphoric buying, that often precede mean reversions or trend pauses.
● Originality and Utility
Standard volume indicators often look at raw volume levels, which can be misleading during different times of the day or across different assets. This script calculates the efficiency of moving price (Illiquidity) and normalizes it statistically. This allows the trader to see when the market is becoming thin or stressed relative to recent history. It is particularly useful for contrarian traders looking for capitulation points within established trends, offering a unique perspective beyond standard RSI or MACD divergence.
● Methodology
The core mechanism drives a custom Liquidity Engine that performs the following steps:
Price Impact Calculation: It computes the ratio of the True Range to Volume. High values indicate that price is moving significant distances on relatively low volume or that volatility is extreme relative to participation.
Normalization: The raw impact data is smoothed using a logarithmic scale to handle the wide variance in volume data.
Statistical Scoring (Z-Score): The script calculates the Z-Score of this normalized data over a user-defined lookback period. This determines how many standard deviations the current liquidity stress is away from the mean.
Trend Filtering: A standard Exponential Moving Average (EMA) determines the dominant market direction to contextualize the stress signal.
● How to Use
The indicator plots labels on the chart when specific High Stress conditions are met during a trend:
SE (Seller Exhaustion - Green Label): Appears when the market is in a downtrend (price below EMA), the current candle is bearish, and the liquidity stress Z-Score breaches the upper threshold. This suggests panic selling or a liquidity gap down, often marking a temporary bottom or reversal point.
BE (Buyer Exhaustion - Red Label): Appears when the market is in an uptrend (price above EMA), the current candle is bullish, and the liquidity stress Z-Score breaches the upper threshold. This suggests a melt-up or buying climax into thin liquidity, often preceding a pullback.
● Inputs
Trend Filter Length: The period for the EMA used to determine the baseline trend direction.
Statistical Lookback: The number of bars used to calculate the mean and standard deviation for the Z-Score.
Stress Threshold (Sigma): The Z-Score value required to trigger a high-stress signal. Higher values result in fewer, more extreme signals.
● Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
SMC Ultra-Fast: ALL-IN & Auto-Signal [Fixed]How to Use the SMC Pro Indicator: ALL-IN & Dynamic S/R is designed to help you trade following the "Smart Money" quickly and accurately. The usage steps are as follows:
1. Reading Entry Signals
🔥 ALL-IN BUY/SELL: This is the most accurate signal, generated by a breakout of a key support level (Pivot) combined with unusually high trading volume (1.5 times higher) and confirmation from the EMA trend.
Fast Buy/Sell (Small Triangle): This is a supplementary signal when the EMA Fast line crosses the EMA Slow line. It's suitable for finding opportunities to "Follow the Trend" or add to positions when the trend strengthens.
2. Managing Targets (TP/SL/Entry)
When the ALL-IN signal appears, the system will immediately draw three lines to the right of the graph:
Gray line (ENTRY): The price point where you should open an order.
Blue line (TP): Profit target. Calculated using a Risk:Reward Ratio of 2.0 (adjustable).
Red line (SL): Stop-loss point calculated from the ATR value for safety.
3. Using Support and Resistance Boxes (Dynamic Zones)
Green box (Support): Zone with strong buying pressure. If the price tests this level and doesn't break below, there's a high chance of a rebound.
Red box (Resistance): Zone with accumulated selling pressure. If the price tests this level and fails to break through, there's a chance of a pullback.
Disappearance of boxes: When the price "breaks through" the bar, these boxes automatically disappear to indicate that the zone has been broken, and the system will immediately start looking for a new, stronger zone.
4. Auto-Reset System (Completion of Trade)
When the price hits the TP or SL line, the system will mark an "X" on the screen.
The old target line will be immediately deleted to clear the position, making the chart look clean and ready for a new ALL-IN signal.
💡 Additional Tip:
Candlestick color: Trade Buy when the candlestick is green, and trade Sell when the candlestick is red.
If the candlestick is orange, it means the market is sideways. It is recommended to wait for a clear ALL-IN signal before entering a trade.
lib_ephemeris █ PLANETARY EPHEMERIS MASTER LIBRARY
Unified API for calculating planetary positions. Import this single library to access all 11 celestial bodies: Sun, Moon, Mercury, Venus, Earth, Mars, Jupiter, Saturn, Uranus, Neptune, and Pluto.
Theory: VSOP87 (planets), ELP2000-82 (Moon), Meeus (Pluto)
═══════════════════════════════════════════════════════════════
█ QUICK START
//@version=6
indicator("Planetary Ephemeris Demo")
import BlueprintResearch/lib_ephemeris/1 as eph
// Get all planets
sun = eph.string_to_planet("Sun")
moon = eph.string_to_planet("Moon")
mercury = eph.string_to_planet("Mercury")
venus = eph.string_to_planet("Venus")
mars = eph.string_to_planet("Mars")
jupiter = eph.string_to_planet("Jupiter")
saturn = eph.string_to_planet("Saturn")
uranus = eph.string_to_planet("Uranus")
neptune = eph.string_to_planet("Neptune")
pluto = eph.string_to_planet("Pluto")
// Get longitude for each planet (geocentric)
sun_lon = eph.get_longitude(sun, time, true)
moon_lon = eph.get_longitude(moon, time, true)
mercury_lon = eph.get_longitude(mercury, time, true)
venus_lon = eph.get_longitude(venus, time, true)
mars_lon = eph.get_longitude(mars, time, true)
jupiter_lon = eph.get_longitude(jupiter, time, true)
saturn_lon = eph.get_longitude(saturn, time, true)
uranus_lon = eph.get_longitude(uranus, time, true)
neptune_lon = eph.get_longitude(neptune, time, true)
pluto_lon = eph.get_longitude(pluto, time, true)
// Plot all planets
plot(sun_lon, "Sun", color.yellow)
plot(moon_lon, "Moon", color.silver)
plot(mercury_lon, "Mercury", color.orange)
plot(venus_lon, "Venus", color.green)
plot(mars_lon, "Mars", color.red)
plot(jupiter_lon, "Jupiter", color.purple)
plot(saturn_lon, "Saturn", color.olive)
plot(uranus_lon, "Uranus", color.aqua)
plot(neptune_lon, "Neptune", color.blue)
plot(pluto_lon, "Pluto", color.gray)
═══════════════════════════════════════════════════════════════
█ AVAILABLE FUNCTIONS
Core Data Access:
• string_to_planet(string) → Planet enum
• get_longitude(Planet, time, preferGeo) → degrees [0, 360)
• get_declination(Planet, time) → degrees
• get_speed(Planet, time) → degrees/day
• is_retrograde(Planet, time) → true/false
Planetary Averages:
• get_avg6_geo_lon(time) → 6 outer planets average
• get_avg6_helio_lon(time)
• get_avg8_geo_lon(time) → 8 classical planets average
• get_avg8_helio_lon(time)
Utility:
• normalizeLongitude(lon) → normalize to [0, 360)
═══════════════════════════════════════════════════════════════
█ SUPPORTED PLANET STRINGS
Works with symbols or plain names (case-insensitive):
• "☉︎ Sun" or "Sun"
• "☽︎ Moon" or "Moon"
• "☿ Mercury" or "Mercury"
• "♀ Venus" or "Venus"
• "🜨 Earth" or "Earth"
• "♂ Mars" or "Mars"
• "♃ Jupiter" or "Jupiter"
• "♄ Saturn" or "Saturn"
• "⛢ Uranus" or "Uranus"
• "♆ Neptune" or "Neptune"
• "♇ Pluto" or "Pluto"
═══════════════════════════════════════════════════════════════
█ COORDINATE SYSTEMS
Geocentric: Positions relative to Earth (default for Sun/Moon)
Heliocentric: Positions relative to the Sun
Use the preferGeo parameter in get_longitude():
• true = geocentric
• false = heliocentric
Sun and Moon always return geocentric (heliocentric not applicable).
═══════════════════════════════════════════════════════════════
█ FUTURE PROJECTIONS
Project planetary positions into the future using polylines:
import BlueprintResearch/lib_vsop_core/1 as core
// Get future timestamp (250 bars ahead)
future_time = core.get_future_time(time, 250)
// Calculate future position
future_lon = eph.get_longitude(mars, future_time, true)
Use with polyline.new() to draw projected paths on your chart. See the commented showcase code in this library's source for a complete 250-bar projection example.
═══════════════════════════════════════════════════════════════
█ OPEN SOURCE
This library is part of an open-source planetary ephemeris project.
Free to use with attribution. MIT License.
═══════════════════════════════════════════════════════════════
█ REFERENCES
• Meeus, Jean. "Astronomical Algorithms" (2nd Ed., 1998)
• Bretagnon & Francou. "VSOP87 Solutions" (1988)
• Chapront-Touzé & Chapront. "ELP2000-82" (1983)
═══════════════════════════════════════════════════════════════
© 2025 BlueprintResearch (Javonnii) • MIT License
@version=6
normalizeLongitude(lon)
Normalizes any longitude value to the range [0, 360) degrees.
Parameters:
lon (float) : (float) Longitude in degrees (can be any value, including negative or >360).
Returns: (float) Normalized longitude in range [0, 360).
string_to_planet(planetStr)
Converts a planet string identifier to Planet enum value.
Parameters:
planetStr (string) : (string) Planet name (case-insensitive). Supports formats: "Sun", "☉︎ Sun", "sun", "SUN"
Returns: (Planet) Corresponding Planet enum. Returns Planet.Sun if string not recognized.
@note Supported planet strings: Sun, Moon, Mercury, Venus, Earth, Mars, Jupiter, Saturn, Uranus, Neptune, Pluto
get_longitude(p, t, preferGeo)
Returns planetary longitude with automatic coordinate system selection.
Parameters:
p (series Planet) : (Planet) Planet to query.
t (float) : (float) Unix timestamp in milliseconds (use built-in 'time' variable).
preferGeo (bool) : (bool) If true, return geocentric; if false, return heliocentric.
Returns: (float) Longitude in degrees, normalized to range [0, 360).
@note Sun and Moon always return geocentric regardless of preference (heliocentric not applicable).
get_declination(p, t)
Returns planetary geocentric equatorial declination.
Parameters:
p (series Planet) : (Planet) Planet to query.
t (float) : (float) Unix timestamp in milliseconds (use built-in 'time' variable).
Returns: (float) Geocentric declination in degrees, range where positive is north.
@note Declination is always geocentric (no heliocentric equivalent in library).
get_speed(p, t)
Returns planetary geocentric longitude speed (rate of change).
Parameters:
p (series Planet) : (Planet) Planet to query.
t (float) : (float) Unix timestamp in milliseconds (use built-in 'time' variable).
Returns: (float) Geocentric longitude speed in degrees per day. Negative values indicate retrograde motion. Returns na for Moon.
@note Speed is always geocentric (no heliocentric equivalent in library). Moon speed calculation not implemented.
get_avg6_geo_lon(t)
get_avg6_geo_lon
@description Returns the arithmetic average of the geocentric longitudes for the six outer planets: Mars, Jupiter, Saturn, Uranus, Neptune, and Pluto.
Parameters:
t (float) : (float) Time in Unix timestamp (milliseconds).
Returns: (float) Average geocentric longitude of the six outer planets in degrees, range [0, 360).
get_avg6_helio_lon(t)
get_avg6_helio_lon
@description Returns the arithmetic average of the heliocentric longitudes for the six outer planets: Mars, Jupiter, Saturn, Uranus, Neptune, and Pluto.
Parameters:
t (float) : (float) Time in Unix timestamp (milliseconds).
Returns: (float) Average heliocentric longitude of the six outer planets in degrees, range [0, 360).
get_avg8_geo_lon(t)
get_avg8_geo_lon
@description Returns the arithmetic average of the geocentric longitudes for all eight classical planets: Mercury, Venus, Mars, Jupiter, Saturn, Uranus, Neptune, and Pluto.
Parameters:
t (float) : (float) Time in Unix timestamp (milliseconds).
Returns: (float) Average geocentric longitude of all eight classical planets in degrees, range [0, 360).
get_avg8_helio_lon(t)
get_avg8_helio_lon
@description Returns the arithmetic average of the heliocentric longitudes for all eight classical planets: Mercury, Venus, Mars, Jupiter, Saturn, Uranus, Neptune, and Pluto.
Parameters:
t (float) : (float) Time in Unix timestamp (milliseconds).
Returns: (float) Average heliocentric longitude of all eight classical planets in degrees, range [0, 360).
is_retrograde(p, t)
Returns true if the planet is currently in retrograde motion (geocentric speed < 0) == 0 = stationary.
Parameters:
p (series Planet) : The planet to check.
t (float) : Time in Unix timestamp (milliseconds).
Returns: true if the planet is in retrograde, false otherwise.
Options Liquidity Meter (OLM)❓ The question behind this indicator
When trading options, it is common to experience situations where price moves in the expected direction, yet the option contract does not increase in value as anticipated.
This typically happens when one or more of the following conditions is missing:
Insufficient liquidity participation
Lack of volatility expansion
Weak or passive order flow
Options Liquidity Meter (OLM) was created to address this specific question:
“If price moves from here, are there conditions for option premiums to actually expand?”
🎯 What this indicator does
Options Liquidity Meter is a context tool, not a trading system.
It evaluates whether the current market environment is favorable for option premium expansion , based on three core engines:
Liquidity (Relative Volume)
Measures whether price movement is supported by meaningful participation.
Volatility State
Identifies compression, release, and expansion phases, where options tend to respond differently.
Order Flow Activity (OBV-based)
Acts as a proxy for active vs. passive participation, helping filter hollow moves.
These components are combined into a single, easy-to-read options context.
🟢🟡🔴 Options Context Output
The indicator displays one consolidated state:
RED — NO EXPANSION
Price may move, but option premiums often do not respond.
YELLOW — BUILDING
Liquidity or volatility is developing. Conditions are improving but not fully aligned.
GREEN — EXPANSION LIKELY
Liquidity, volatility expansion, and active flow are aligned.
This is a favorable environment for option premium expansion.
The same logic is reflected visually through the background color and summarized in the dashboard.
📊 How to read the dashboard
The dashboard shows:
Liquidity: LOW / OK / HIGH
Volatility: COMPRESSED / RELEASED / EXPANDING
Order Flow: FLAT / ACTIVE
Options Context: NO EXPANSION / BUILDING / EXPANSION LIKELY
Below, a Background Color Meaning section explains what each color represents, making the indicator intuitive and educational.
📍 Where to apply this indicator
Options Liquidity Meter must be applied to the underlying asset chart, such as:
Indices (SPY, SPX, QQQ, etc.)
Stocks
Futures
ETFs
It is not designed to be applied to option contracts themselves.
The indicator evaluates the market conditions of the underlying, which are the drivers that influence option premium behavior.
Contract selection (strike, delta, gamma, expiration) remains the trader’s responsibility.
🧠 How to use it
Use your own methodology to define:
Direction
Structure
Entries and exits
Use Options Liquidity Meter to evaluate:
Whether the current environment supports option premium expansion
If the context is RED, be cautious — price may move without rewarding options.
If the context is GREEN, the environment is statistically more favorable for options responsiveness.
🔗 Complementary tools
Options Liquidity Meter is designed to complement, not replace, other tools.
It works well alongside:
Opening Path Selector (EMA200 Context Tool)
For deciding which asset offers the cleanest directional context.
Multi-Tool VWAP + EMAs (Multi-Timeframe) + Key Levels
For in-chart structure, bias, and reference levels.
Each tool addresses a different stage of the decision process and can be used independently.
⚠️ Important notes
This indicator provides context only
It does not generate trading signals
No indicator guarantees results
Use at your own risk.
Impulse Trend Pullback (Extra Clean) This thing is not a signal spammer — it’s a state / environment meter.
✨Impulse Flow Panel / Momentum strength meter✨
A calm, minimal trend & momentum state meter designed to keep your chart clean, readable and easy on the eyes, especially on light themes 🤍
🌠 What it shows:
• A smooth flow baseline with a volatility “dragon” channel
• A soft full-chart background state reflecting the dominant market direction
• A compact top panel(very accurate, zero repaints) displaying:
– Trend direction (Up / Down / Neutral)
– Momentum strength (Weak / Normal / Strong)
🌠 What it measures:
This tool evaluates whether price is structurally above or below its flow baseline and whether momentum is expanding or fading using RSI + MACD pressure.
Instead of generating trade signals, it tells you what kind of market environment you are currently inside — trending, fading, strong or weak. Helps to avoid rage trades!
🌠 When to use it:
It’s perfect as a background indicator for your other favorite tools — helping you filter or confirm entries, avoid bad conditions and stay aligned with the overall market flow.
Clean. Calm. Informative. 🌊
London Session + EMA 200 + UT BotCombined trading indicator featuring three powerful tools:🔵 London Session Box - Highlights the London trading session (0700-1600) with a customizable colored box to identify high-volume trading periods📈 EMA 200 - Exponential Moving Average for trend identification and dynamic support/resistance levels🎯 UT Bot - ATR-based trailing stop indicator with buy/sell signals and bar coloring for trend following
SNIPER Mean Reversion V1MR SNIPER (Mean Reversion)
### When to Use
- Market is **IN BALANCE** (ranging, consolidating)
- Price **breaks out but FAILS** to hold
- **London session** or compressed summer conditions
- Failed breakouts returning to value
### The Setup Sequence
```
1. BALANCE DETECTED
└── Price rotating around POC
2. BREAKOUT ATTEMPT
└── Price pushes beyond Value Area
3. FAILURE + RECLAIM ← KEY MOMENT
└── Price comes BACK inside balance
└── DO NOT trade first move back!
4. PULLBACK INTO LVN
└── Wait for pullback after reclaim
5. AGGRESSION CONFIRMATION
└── Entry candle shows buy/sell pressure
└── Volume elevated (1.2×+ average)
└── Fat body (60%+ of range)
6. ENTRY → TARGET: POC
```
### Signal Labels
- **MR↑** = Mean Reversion Long (failed breakdown)
- **MR↓** = Mean Reversion Short (failed breakout)
- **S/A/B** = Signal quality tier
### Risk Management
- **Stop**: Below recent low (long) / Above recent high (short)
- **Target**: POC (center of value)
- **Risk**: 0.25-0.5% per trade
BK AK-Flag Formations🏴☠️ BK AK-Flag Formations — Continuation Structure, Tactical Readability. 🏴☠️
Built for traders who press momentum with discipline: it finds flagpoles + flags/pennants, validates the structure, draws the boundaries, and labels it in a way you can act on without clutter.
🎖️ Full Credit — Foundation Engine (Trendoscope)
Original foundation (Trendoscope Flags & Pennants):
The core detection engine (multi-zigzag swing extraction, pivot logic, validation/classification framework, and base drawing architecture) is by Trendoscope.
This script keeps that engine intact. My work adds a tactical execution layer: short tags + tooltip briefing + alert routing + forward border projection.
✅ What This Script Does
This indicator hunts continuation formations after an impulse move, and outputs three things:
Detects the pole (impulse leg) and the consolidation that follows
Classifies the consolidation as a Flag or Pennant, and assigns a bias (Bull/Bear/Neutral) based on context
Draws the structure and labels it cleanly, with optional hover briefings and filtered alerts
You get continuation structure across multiple sensitivities, so it can catch tight flags and larger, slower continuations without changing settings every chart.
🔍 How It Detects (So You Know It’s Not Random)
This is not “pattern art.” It’s rule-based swing logic + geometry:
1) Multi-Zigzag Sweep (micro → macro)
The script runs multiple zigzag levels (up to 4) to extract swings at different sensitivities.
That means the same market is scanned for both:
short, fast consolidations
larger, cleaner consolidations
2) Impulse + Consolidation Validation
After swings are extracted, the engine checks:
that the move qualifies as an impulse “pole”
that the consolidation stays within a controlled retracement window (your Max Retracement control)
that the consolidation geometry is coherent enough to be classified (tolerance controlled by Error Threshold and Flat Threshold)
3) Optional Quality Filters (you control strictness)
Verify Bar Ratio: checks proportion/spacing of pivots, not just price shape
Avoid Overlap: prevents stacking new patterns on top of existing ones
Max Patterns: hard cap so the chart stays readable
Repaint option: allows refinement if better coordinates form (useful for real-time traders)
🧩 BK Enhancements — Why This Publication Exists (Not a Mashup)
This is one pattern engine plus a purpose-built execution layer. Not “two indicators glued together.”
A) Short-Form Pattern Tags (clarity under pressure)
Instead of long labels drowning price, the script can replace them with compact codes:
BF / BeF / BP / BeP / F / P / UF / DF / RF / FF / AF / DeF
This is not cosmetic — it lets you keep structure visible while trading.
B) Tooltip Briefing (optional)
Hover a tag to see:
the full pattern name
the bias (Bullish/Bearish/Neutral)
So you get detail only when you request it, not sprayed across the chart.
C) Alert Routing (signal control, not spam)
Alerts can be filtered by:
Bias (Bull/Bear/Neutral)
Type (Flag vs Pennant)
So you can route only what you trade — e.g., bullish continuations only, or pennants only.
D) Pattern Border Extension (planning the break/retest)
Optional feature extends only the two true boundary lines forward by N bars, so you can plan:
breakout/breakdown levels
retest zones
invalidation outside structure
This extension is selective: it aims to extend the actual borders, not random zigzag legs.
How these work together:
Trendoscope detects/validates → draws the pattern → BK layer converts labels to short tags + applies transparency + tooltip overlay → BK alert router filters by bias/type → BK border extension projects the two boundary lines forward.
That’s the purpose: faster reads + cleaner execution planning.
🏷️ How To Read the Codes (Practical Translation)
BF — Bull Flag: strong pole → controlled pullback → watch boundary break + continuation
BP — Bull Pennant: thrust → tight compression → expansion confirms carry
BeF — Bear Flag: down impulse → weak rallies → breakdown favors continuation lower
BeP — Bear Pennant: pause beneath resistance → release favors trend continuation
F / P: generic tags when it’s valid but shouldn’t over-specify
⚙️ What You Actually Tune
Zigzag lengths/depths: sensitivity (faster vs cleaner)
Max Retracement: how deep consolidation may retrace the pole
Error / Flat thresholds: strictness of structure validation
Overlap / Max patterns: chart cleanliness
Labels: short tags, transparency, tooltips
Border extension: extend boundaries forward by N bars
Alerts: enable + filter by bias and by type
🧑🏫 BK / AK
AK is honor — my mentor’s standard: patience, clarity, no gambling.
All glory to G-d — the true source of wisdom, restraint, and endurance.
👑 King Solomon Lens
“Plans are established by counsel; by wise guidance wage war.” — Proverbs 20:18
Continuation trading is the same: impulse → formation → execution.
BK AK-Flag Formations — when the standard rises, the line advances.
Gd bless. 🙏
Auto Liquidity Sweep Trendlines With BuySell alerts By V JhaThis automatic trendline system gives buy and sell alerts as well. But you must choose to buy at bottom and sell at top, or in tune with high time frame. This works perfect when used in alignment with HTF.
Points used to draw these trendlines are not ordinary wicks, rather they are liquidity points of huge importance. This trendline system removes any need for mannual tredline drawing.
SMC Ultra-Fast: ALL-IN & Auto-Signal [Fixed]//@version=5
indicator("SMC Ultra-Fast: ALL-IN & Auto-Signal ", overlay=true, max_bars_back=5000)
// ================= Settings =================
group_fast = "Fast Entry Settings"
rr_ratio = input.float(2.0, "Risk:Reward Ratio", group=group_fast)
atr_mult = input.float(1.0, "Tight SL (ATR)", group=group_fast)
line_len = input.int(35, "Line Extension", group=group_fast)
group_vol = "High Volume Accumulation"
vol_look = input.int(100, "Volume Lookback", group=group_vol)
// ================= State Management =================
var float cur_tp = na
var float cur_sl = na
var bool in_trade = false
var line entL = na, var line tpL = na, var line slL = na
var label entLb = na, var label tpLb = na, var label slLb = na
var box res_box = na, var box sup_box = na
var label res_lbl = na, var label sup_lbl = na
// ================= Calculations =================
emaFast = ta.ema(close, 8)
emaSlow = ta.ema(close, 21)
atr = ta.atr(10)
vol_ma = ta.sma(volume, 20)
// --- 1. กล่องแนวรับ-แนวต้าน (High Volume Zones) พร้อมราคา ---
hi_v = ta.highest(high, vol_look)
lo_v = ta.lowest(low, vol_look)
if ta.change(hi_v)
box.delete(res_box), label.delete(res_lbl)
res_box := box.new(bar_index , hi_v, bar_index + 15, hi_v - (atr * 0.3), bgcolor=color.new(color.red, 80), border_color=color.red)
res_lbl := label.new(bar_index + 15, hi_v, "แนวต้าน: " + str.tostring(hi_v, "#.#####"), color=color.red, style=label.style_label_left, textcolor=color.white, size=size.small)
if ta.change(lo_v)
box.delete(sup_box), label.delete(sup_lbl)
sup_box := box.new(bar_index , lo_v, bar_index + 15, lo_v + (atr * 0.3), bgcolor=color.new(color.green, 80), border_color=color.green)
sup_lbl := label.new(bar_index + 15, lo_v, "แนวรับ: " + str.tostring(lo_v, "#.#####"), color=color.green, style=label.style_label_left, textcolor=color.white, size=size.small)
// --- 2. ระบบสีแท่งเทียนแยกเทรนด์ ---
is_bull = close > emaFast and close > emaSlow
is_bear = close < emaFast and close < emaSlow
barcolor(is_bull ? color.green : is_bear ? color.red : color.orange)
// --- 3. สัญญาณ ALL-IN & Extra Buy/Sell (Fast & Precise) ---
ph = ta.pivothigh(high, 2, 2)
pl = ta.pivotlow(low, 2, 2)
var float last_h = na
var float last_l = na
if not na(ph)
last_h := ph
if not na(pl)
last_l := pl
// จุด ALL-IN: เบรค Pivot + เทรนด์ชัด + โวลุ่มสูง
all_in_buy = ta.crossover(close, last_h) and is_bull and volume > vol_ma * 1.2 and not in_trade
all_in_sell = ta.crossunder(close, last_l) and is_bear and volume > vol_ma * 1.2 and not in_trade
// สัญญาณ Buy/Sell เพิ่มเติม (Fast Signals)
fast_buy = ta.crossover(emaFast, emaSlow) and not all_in_buy
fast_sell = ta.crossunder(emaFast, emaSlow) and not all_in_sell
plotshape(fast_buy, "Fast Buy", shape.triangleup, location.belowbar, color.lime, size=size.tiny, title="Fast Buy Signal")
plotshape(fast_sell, "Fast Sell", shape.triangledown, location.abovebar, color.orange, size=size.tiny, title="Fast Sell Signal")
// ================= 4. การจัดการ TP/SL/Entry (Auto-Reset) =================
if all_in_buy or all_in_sell
line.delete(entL), line.delete(tpL), line.delete(slL)
label.delete(entLb), label.delete(tpLb), label.delete(slLb)
float ep = close
cur_sl := all_in_buy ? (low - (atr * atr_mult)) : (high + (atr * atr_mult))
cur_tp := all_in_buy ? (ep + (math.abs(ep-cur_sl) * rr_ratio)) : (ep - (math.abs(ep-cur_sl) * rr_ratio))
in_trade := true
entL := line.new(bar_index, ep, bar_index + line_len, ep, color=color.gray, style=line.style_dashed, width=2)
tpL := line.new(bar_index, cur_tp, bar_index + line_len, cur_tp, color=color.blue, width=2)
slL := line.new(bar_index, cur_sl, bar_index + line_len, cur_sl, color=color.red, width=2)
entLb := label.new(bar_index + line_len, ep, "ENTRY: " + str.tostring(ep, "#.#####"), color=color.gray, style=label.style_label_left, textcolor=color.white)
tpLb := label.new(bar_index + line_len, cur_tp, "TP: " + str.tostring(cur_tp, "#.#####"), color=color.blue, style=label.style_label_left, textcolor=color.white)
slLb := label.new(bar_index + line_len, cur_sl, "SL: " + str.tostring(cur_sl, "#.#####"), color=color.red, style=label.style_label_left, textcolor=color.white)
label.new(bar_index, all_in_buy ? low : high, all_in_buy ? "🔥 ALL-IN BUY" : "🔥 ALL-IN SELL", color=all_in_buy ? color.green : color.red, style=all_in_buy ? label.style_label_up : label.style_label_down, textcolor=color.white)
// ระบบล้างสถานะอัตโนมัติเมื่อชนเป้าหมาย
if in_trade
hit = (high >= cur_tp and cur_tp > cur_sl) or (low <= cur_tp and cur_tp < cur_sl) or (low <= cur_sl and cur_tp > cur_sl) or (high >= cur_sl and cur_tp < cur_sl)
if hit
label.new(bar_index, close, "X", color=color.white, style=label.style_label_center, size=size.small)
in_trade := false
Valid Rejection Block FinderThis is used to find valid rejection blocks that, 1 candle closes in the right direction of the wick, 2 makes sure the wick sweeps the low of the previous candle, 3 uses ATR to find larger movements and 4, presents a data table of the probability of price coming back into the zones.
DT Key LevelsThis indicator provides you with key levels and pivot points.
Asia high
Asia low
Asia EQ
Daily pivot
PDH
PDL
PWH
PWL
EQ
Resistance level 1,2 & 3
Support level 1,2 & 3
Macro Stress Monitor (USDJPY + JGB + Yield Curve)
# **Note‑Style Description**
This indicator provides a consolidated framework for monitoring two of the most systemically important channels of global USD liquidity transmission: **offshore USD funding conditions in Japan** and **front‑end U.S. rates stress linked to repo and collateral dynamics**. While TradingView does not supply direct access to cross‑currency basis swaps or repo benchmarks, the script employs market‑validated proxies that closely track the same underlying pressures observed in dealer balance‑sheet constraints, FX‑hedged flows, and Treasury funding markets.
### **1. USD/JPY Funding Pressure (Basis‑Swap Proxy)**
The USD/JPY cross‑currency basis is a primary indicator of offshore USD funding premia for Japanese banks, insurers, and real‑money accounts. Basis widening typically reflects elevated USD demand, reduced hedge ratios, and impaired FX swap market liquidity.
To approximate this behavior in real time, the indicator combines:
- **USDJPY spot**, which tends to accelerate higher during USD funding stress, FX swap dislocations, or shifts in BOJ/Fed policy differentials.
- **JP10Y (Japan 10‑year yield)**, which captures JGB‑market stress, duration‑hedging flows, and the impact of FX‑hedged UST carry dynamics on domestic rates.
The joint behavior of these two series provides a high‑signal proxy for USD/JPY basis conditions, particularly around quarter‑end, fiscal year‑end, and BOJ policy events.
### **2. U.S. Front‑End Curve Stress (Repo/Collateral Proxy)**
Stress in the U.S. repo market often manifests first in the front end of the Treasury curve, where funding volatility, collateral scarcity, and dealer balance‑sheet compression drive rapid curve distortions.
The indicator tracks:
- **US02Y – US10Y (2s10s spread)** as a public‑market proxy for repo tightness, GC specialness, and leveraged Treasury basis‑trade unwind risk.
A deeper inversion or accelerated flattening of the 2s10s curve frequently coincides with rising funding premia, increased margin requirements, and deleveraging across rates‑sensitive strategies.
### **3. Stress Diagnostics**
The script highlights three conditions that historically align with elevated cross‑asset fragility:
- **USDJPY > 20‑day SMA** — proxy for USD funding stress / basis widening
- **JP10Y < 20‑day SMA** — proxy for JGB‑market stress or hedging‑related duration flows
- **2s10s < –0.50** — proxy for front‑end funding pressure and repo‑related curve distortions
These are not directional trading signals. They are **liquidity‑risk diagnostics** intended to identify periods when global funding markets become more vulnerable to synchronized deleveraging.
### **4. Intended Use Case**
This tool is designed for macro practitioners, cross‑asset strategists, and risk managers who monitor:
- USD funding premia and cross‑currency basis dynamics
- FX‑hedged UST flows and Japanese institutional positioning
- Treasury basis‑trade leverage and repo‑driven volatility
- BOJ/Fed policy interactions and quarter‑end balance‑sheet effects
- Systemic liquidity conditions across FX, rates, and credit
The indicator provides a real‑time dashboard for identifying early‑stage liquidity stress that may precede broader cross‑asset volatility.
Contract Size OverviewNever second-guess your position size again. This indicator displays your pre-configured contract or lot sizes for all your frequently traded instruments, so you always know exactly how much to trade the moment you open a chart.
🎯 Why Use This?
Switching between ES futures, crypto pairs, and forex? Each instrument likely has a different position size based on your risk management. Instead of calculating or remembering sizes every time, configure them once and let the indicator do the work.
✨ Key Features
Configure up to 10 symbols with custom position sizes
Full support for fractional sizes (0.1 BTC, 0.25 ETH, etc.)
Automatic symbol detection — works with continuous contracts (ES1!, NQH2025, etc.)
Two display modes: current symbol only or full watchlist
Optional large on-chart label for instant visibility
Fully customizable colors and positioning
📖 How To Use
Add the indicator to your chart
Open settings and enter your traded symbols (ES, NQ, BTCUSDT, etc.)
Set your default position size for each
Switch between charts — your size appears automatically
⚙️ Display Options
Single Mode : Shows only the current chart's position size — clean and minimal
List Mode : Displays all configured symbols with the current one highlighted
Large Label : Optional prominent display directly on the price chart
💡 Perfect For
Futures traders managing multiple contracts (ES, NQ, CL, GC)
Crypto traders with fractional position sizes
Anyone who trades multiple instruments with different risk allocations
Traders who want to eliminate sizing mistakes when switching markets
⚠️ Note
This is an informational overlay only. It does not execute trades or connect to any broker.
Institutional Bias [Lite] - Visual SuiteThe ultimate discretionary toolkit. Visualizes Institutional Value (VP), Trend (AVWAP), and Structure (Fibs). For automated signals, see the Pro Strategy."
Enhanced Divergence Scanner═══════════════════════════════════════════════════════════════════
TRADINGVIEW COMPLIANT POST - FOLLOWS ALL HOUSE RULES
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📌 TITLE:
Multi-Oscillator Divergence Detector with Pivot Validation
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📝 COMPLIANT DESCRIPTION (addresses all moderator requirements):
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**Multi-Oscillator Divergence Detector with Pivot Validation**
This indicator identifies regular divergences by comparing price pivot points against oscillator pivot points across three momentum indicators simultaneously.
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**HOW THE SCRIPT WORKS (Technical Methodology):**
The script uses a multi-step validation process:
1. **Pivot Detection**: The script identifies swing highs and lows on both price and oscillators using the `ta.pivothigh()` and `ta.pivotlow()` functions with configurable left/right lookback periods.
2. **Divergence Validation**: When a new pivot is detected, the script scans historical pivots to find potential divergence pairs where:
- For Bullish: Price makes a lower low while the oscillator makes a higher low
- For Bearish: Price makes a higher high while the oscillator makes a lower high
3. **Line Integrity Check**: Before confirming a divergence, the script draws a temporary test line between the two pivot points and checks if any intermediate price/oscillator values pierce through this line. Only non-pierced divergences are displayed.
4. **Multi-Oscillator Confirmation**: The divergence is checked against RSI, CCI, and MFI independently. The label shows how many oscillators confirmed the same divergence (1, 2, or 3).
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**WHY COMBINE THESE THREE OSCILLATORS:**
Each oscillator measures momentum differently, providing complementary confirmation:
- **RSI (Relative Strength Index)**: Measures the speed and magnitude of recent price changes. Calculated as: RSI = 100 - (100 / (1 + RS)), where RS = Average Gain / Average Loss over the period.
- **CCI (Commodity Channel Index)**: Measures price deviation from the statistical mean. Calculated as: CCI = (Typical Price - SMA) / (0.015 × Mean Deviation). Effective for identifying cyclical turning points.
- **MFI (Money Flow Index)**: A volume-weighted RSI that incorporates buying/selling pressure. Calculated using typical price × volume to create money flow, then applying RSI formula. Adds volume confirmation to momentum analysis.
When multiple oscillators show divergence simultaneously, it suggests stronger conviction in the potential reversal signal.
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**WHAT MAKES THIS SCRIPT UNIQUE:**
1. **Pivot-Based Validation**: Unlike simple divergence indicators that compare consecutive values, this script validates divergences between actual swing points, reducing false signals.
2. **Line Piercing Filter**: The script ensures no intermediate price action invalidates the divergence by checking if prices cross the divergence line.
3. **Triple Confirmation System**: Shows signal strength (1-3) based on how many oscillators agree on the divergence.
4. **Visual Confirmation Status**: Dotted lines indicate unconfirmed (recent) divergences; solid lines indicate confirmed divergences after the lookback period passes.
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**HOW TO USE THIS INDICATOR:**
1. **Signal Identification**:
- Green lines with up arrow (▲) = Bullish divergence (potential buy zone)
- Red lines with down arrow (▼) = Bearish divergence (potential sell zone)
2. **Signal Strength**: The number next to the arrow (1, 2, or 3) indicates how many oscillators confirmed the divergence. Higher numbers suggest stronger signals.
3. **Confirmation Status**:
- Dotted line = Divergence is still forming (may be invalidated)
- Solid line = Divergence is confirmed
4. **Best Practices**:
- Use on higher timeframes (4H, Daily) for more reliable signals
- Combine with support/resistance levels for entry timing
- Wait for price action confirmation before entering trades
- Signals with 2-3 oscillator confirmations are generally more reliable
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**SETTINGS EXPLAINED:**
| Setting | Default | Purpose |
|---------|---------|---------|
| Pivot Lookback Left | 3 | Bars to the left required to confirm a pivot |
| Pivot Lookback Right | 1 | Bars to the right required to confirm a pivot |
| Max Historical Bars | 750 | How far back to search for divergence pairs |
| RSI/CCI/MFI Length | 14 | Period for each oscillator calculation |
| Line Width | 2 | Visual thickness of divergence lines |
| Show Labels | On | Toggle signal labels on/off |
**Adjusting for Trading Style:**
- Shorter pivot lookback = More signals, faster detection, more noise
- Longer pivot lookback = Fewer signals, slower detection, higher quality
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**LIMITATIONS AND RISK DISCLAIMER:**
- Divergences are NOT direct buy/sell signals - they indicate potential reversals
- In strong trends, divergences may fail multiple times before working
- Past divergence patterns do not guarantee future price movement
- Always use proper position sizing and stop-loss orders
- This indicator should be used as part of a complete trading strategy
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**OPEN SOURCE:**
This script is published open-source. You can view the complete code logic and modify it for your own use according to TradingView's guidelines.
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🏷️ TAGS (safe tags without trademark issues):
divergence, oscillator, pivot, momentum, reversal, swing-trading, technical-analysis, multi-timeframe, price-action, trend-reversal
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✅ COMPLIANCE CHECKLIST (based on moderator feedback):
Originality & Usefulness:
- Explained WHY these oscillators work together
- Described the unique pivot validation method
- Not just a simple mashup
Description Quality:
- Detailed explanation of underlying logic
- Step-by-step methodology explained
- How to use the indicator
- Settings explained with purpose
Vendor Requirements:
- Publishing as OPEN SOURCE (not invite-only)
- No trademark symbols (™, ®) used
- Clear value proposition explained
No House Rule Violations:
- Original description text
- Educational content included
- Proper risk disclaimer
- No misleading claims
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Moving Average Structure ZigZag [Stable & Filtered]
(日本語説明)
このインジケーターは、移動平均線（MA）の転換に基づき、相場の「真の構造」を可視化するために開発されました。 通常のZigZagのように価格の単純な反転に依存せず、「MAのトレンド転換 ＋ 指定した値幅の到達」という2つの条件を用いることで、レンジ相場の細かなノイズ（ダマシ）を排除し、ダウ理論に基づいた重要な高値・安値だけを結びます。
💡 主な機能
MAタイプの切り替え: SMA, EMA, HMA, VW-HMAなど、目的に合わせたトレンド感度を選択可能。
値幅フィルター（Min Deviation）: 添付画像のように、小さな値動きをカットし、大きな市場構造だけを抽出します。
価格アクションへの追従: ラインはMAの数値ではなく、期間内の実最高値・最安値を正確に結び、高値更新時には自動で延伸されます。
🛠 活用シーン
環境認識: 上位足での大きな波形を確認し、現在のフェーズを定義。
ノイズ除去: 市場の主要な節目（レジサポ候補）の特定。
ダウ理論の視覚化: 高値・安値の切り上がり・切り下がりを明確化。
(English Description)
This indicator was developed to visualize the "True Market Structure" based on Moving Average (MA) reversals. Unlike standard ZigZag which relies solely on price reversals, this tool combines MA Trend Reversals and a Minimum Deviation filter to eliminate market noise and highlight significant swing highs and lows based on Dow Theory.
💡 Key Features
Multiple MA Types: Select from SMA, EMA, HMA, VW-HMA, etc., to match your preferred trend sensitivity.
Min Deviation Filter: As shown in the attached image, it filters out minor price fluctuations to extract only the major market waves.
Price Action Tracking: The lines connect the actual High/Low prices within the period, not the MA values themselves. Lines automatically extend when a trend continues to new highs/lows.
🛠 Use Cases
Market Context: Identify major wave patterns on higher timeframes to define the current phase.
Noise Reduction: Pinpoint key market levels and potential support/resistance.
Dow Theory Visualization: Clearly visualize higher highs/lows and trend shifts.
Settings
MA Type: Choose the type of Moving Average.
Moving Average Length: The lookback period for structure.
Min Deviation (Pips): The threshold to filter noise. Adjust according to the volatility of the pair.
Yearly Projection ExplorerThis indicator helps you understand how the current market period has behaved historically by overlaying the same date window from previous years and projecting it forward from today’s price.
The script works the following way:
Aligns past years to today’s calendar date
Normalizes all paths to the last close at the start
Projects historical performance X bars forward
Displays each year as a separate performance path
Calculates and plots the mean (average) projection for quick reference
🔧 How It Works
Number of Years: choose how many past years to include (e.g. last 10, 20, or 25 years)
Projection Length: choose how many bars (days) ahead to project
Each line shows how the market moved during the same period in a specific year
Labels show the year and total return at the projection end
The mean line highlights the average historical outcome
🧠 Why This Is Useful
Identify seasonal tendencies
Compare current price action to historical analogs
Visualize best / worst historical outcomes
Set realistic expectations for short-term moves
Add context to discretionary or systematic decisions
This tool does not predict the future, but it provides a powerful historical framework to assess what has been typical, rare, or extreme for the current market window.
⚠️ Notes
Script works on timenow variable for now, and you might see unexpected periods if today is a day off.
Results depend on the selected timeframe and instrument
Past performance is not a guarantee of future results
Designed for analysis and context, not standalone signals
Z-PointThe Z Point indicator is a clean and effective tool for tracking key intraday price levels. It focuses on the high and low of a specific target candle to provide daily reference points, helping traders gauge market sentiment and identify potential support and resistance zones.
How It Works:
Previous Day's Range (Gray Box): At the start of a new trading session, the indicator automatically identifies the high/low range of the target candle from the previous day. This range is then projected onto the current day as a gray box, visually highlighting a key area of interest that may act as support or resistance.
Current Day's Levels (Horizontal Lines): Once the target candle for the current day has formed, the gray box is automatically removed. The indicator then plots two new horizontal lines: a green line for that candle's high and a red line for its low. These lines serve as the primary reference levels for the remainder of the day.
Key Features:
Dynamic Reference: Automatically shifts focus from the previous day's range to the current day's levels.
Clean Visuals: Uses a simple box and line system that doesn't clutter the chart.
Intraday Analysis: Perfect for day traders looking to capitalize on reactions to key daily levels.
This indicator is best used on lower timeframes, such as the 5-minute chart.
Nifty Banknifty Option Buying Algo Compatible by VJhaSpecially meant for Indian market Option buying capitalising on morning momentum through algo trading. Works best on 1 min timeframe. Key highlights are:
(1) In setting set timing of your session preferably 09:15 to 11:30, entry only during this duration, running trade forced closed at end of set session.
(2) Choose fresh or continuation: if continuation is chosen, if yesterday's condition prevails during open entry will be made. If fresh is chosen, entry will be made only if fresh set up is formed
(3) You can set this indicator either on index or directly on call or put. If set on Index then buy means buy for call, sell means exit of call. Sell means buy entry for Put and buy means exit for put. However, if directly on call or put, it is straight.
(4) Choice of pivot bar number as 1 gives more trades with smaller profit. Choice of 2 lesser trades with running profit.
In fact you can use on any instrument Cash, Future, Option , Gold etc with intelligence. In Indian Option Buying deploy this from 9:15 to 11;15 am, on ordinary day, and whole day on trending
jitfxjitfx
This indicator plots Central Pivot Range (CPR) along with daily Support & Resistance levels up to 5 levels directly on the price chart. It is designed for intraday and positional traders who want a clean, rule-based structure for market bias, entries, and targets.
Features
Today’s CPR (Pivot, BC, TC)
Next Day CPR calculated from the completed daily candle (useful after market close)
Support & Resistance levels: S1–S5 and R1–R5
On/Off toggles for CPR, Next Day CPR, and S/R levels
Plots neatly on the price chart (overlay)
How to Use
Price above CPR → bullish bias
Price below CPR → bearish bias
Narrow CPR → potential breakout day
Wide CPR → range-bound / mean reversion
Use R levels as potential resistance/targets and S levels as demand/bounce zones
Best For
Index & stock intraday trading
Pre-market planning using Next Day CPR
Identifying structure, bias, and objective targets
