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RDI Price ZonesOverview
RDI Price Zones is a manual price-level visualization indicator.
It draws user-defined horizontal zones and a reference line to help visually organize important price areas on the chart.
This script does not calculate, infer, or fetch market data.
All levels are entered manually by the user.
What it draws
• Reference Line — A horizontal line at a user-defined price level.
• Upper Zones — Rectangular price areas drawn to the right of the chart.
• Lower Zones — Rectangular price areas drawn to the left of the chart.
These elements are purely visual and do not generate signals.
Inputs
• Up to three upper zone price levels (manual input).
• Up to three lower zone price levels (manual input).
• One reference price level.
• Zone thickness defined as a percentage of price.
• Optional color and border settings.
Design notes
• Zones are drawn as rectangles anchored to price levels.
• Rectangles extend a fixed number of bars for visualization purposes only.
• Percentage-based thickness allows zones to scale across different instruments.
Usage
This indicator is intended to help users visually map predefined price areas during a session.
It does not predict price movement, suggest trades, or provide trading signals.
Disclaimer
This script is provided for educational and visualization purposes only.
It does not offer trading advice, does not guarantee results, and should not be used as the sole basis for trading decisions.
Short summary (≤200 chars)
Manual price-zone visualization tool. Draws user-defined rectangular zones and a reference line. No calculations, no signals, no predictions. Educational use only.
Capital Rotational Event (CRE)What is a Capital Rotational Event (CRE)?
A Capital Rotational Event is when money shifts from one asset to another — e.g., rotation from stocks into bonds, from tech into commodities, or from one sector into another.
In technical terms it typically shows:
✔ Divergence between two asset price series
✔ Relative strength switching direction
✔ Volume/flow confirming rotation
✔ Often precedes trend acceleration in the “receiver” asset
MACD Trend Count ScoreThis indicator is designed to confirm potential future trends in an asset’s price by analyzing the MACD histogram in the past. It works by counting positive and negative MACD bars within the selected chart timeframe to calculate a Strength Index, which reflects the past trend direction and intensity.
Summarizing the predominance of positive or negative bars across higher timeframes in the past such as daily, weekly, bi-weekly, and quarterly, it provides insight to anticipate how the trend may evolve in upcoming periods, according to the predetermined range scales Strong Bullish, Moderate Bullish, Neutral, Moderate Bearish and Strong Bearish.
Additionally, a dedicated module linked to the strength index is optimized for short-term charts (2-minute, 5-minute and 15-minute timeframes), making it a valuable tool for day trading strategies.
Multi SMA Indicator📊 Multi SMA Indicator - Description
This Pine Script v5 indicator is a comprehensive technical analysis system that combines multiple essential components for stock trading on Bursa Malaysia (LONG-only strategies).
✨ Key Features:
1. Multiple Simple Moving Averages (SMA)
• SMA 7 (Red) - Very short-term trend
• SMA 20 (Blue) - Short-term trend
• SMA 50 (Black) - Medium-term trend
• SMA 200 (Magenta) - Long-term trend
• All SMAs can be individually shown/hidden
2. 52-Week High/Low (Bursa Malaysia Standard)
• Uses 252 trading days
• 52W High (Green) - Yearly resistance level
• 52W Low (Red) - Yearly support level
• Detects breakouts at these critical levels
3. Bollinger Bands
• BB Length: 20 (customizable)
• Standard Deviation: 2.0
• Special candlestick coloring:
◦ Yellow: Price open & close below Lower BB (strong oversold signal)
◦ Purple: Price below Lower BB
4. Breakout Detection
• Detects breakouts with volume confirmation
• Breakout period: 20 bars (customizable)
• Volume Multiplier: 1.5x above MA20
• Candlestick coloring:
◦ Aqua 🌊: 52-week high breakout
◦ Orange 🍊: 52-week low breakdown
◦ Lime 🟢: Bullish breakout
◦ Magenta 🟣: Bearish breakout
5. Jerun Trend Signals (Trend Confirmation)
• 🦈 Jerun Buy (Aqua): Uptrend confirmation
◦ SMA7 > SMA20 > SMA50 (alignment)
◦ Price above SMA7
◦ Bullish candle with consecutive rises
• 🔥 Jerun Sell (Orange): Downtrend warning
◦ SMA7 < SMA20 < SMA50 (downtrend alignment)
◦ Price below SMA7
◦ Bearish candle with consecutive declines
6. Strong Momentum Detection
• 🚀 Signal: Strong momentum with criteria:
◦ Candle size > 1.5x ATR(14)
◦ Price increase ≥ 3% (threshold customizable)
◦ Volume spike (1.5x above MA20)
◦ Price above SMA7
7. Golden Cross & Death Cross
• 🐃 Golden Cross (Lime): Bullish signal
◦ SMA50 crosses above SMA200 (most powerful)
◦ SMA20 crosses above SMA50
• 🐻 Death Cross (Red): Bearish warning
◦ SMA50 crosses below SMA200
◦ SMA20 crosses below SMA50
📍 Visual Components:
1. Moving Average Lines - 4 SMA lines with distinct colors
2. 52W High/Low Lines - Stepline style for yearly levels
3. Bollinger Bands - 3 lines (upper, middle, lower)
4. Candlestick Colors - Dynamic coloring based on conditions
5. Signal Emojis - 🚀🦈🔥🐃🐻 for quick visual reference
6. Price Labels - Current value labels on the right side of chart
🎯 Usage:
• LONG Only: Focus on buy signals (Bursa Malaysia restriction)
• Entry Signals: Jerun Buy 🦈, Strong Momentum 🚀, Golden Cross 🐃
• Confirmation: Volume spike + Breakout + SMA alignment
• Risk Warning: Jerun Sell 🔥, Death Cross 🐻
• Oversold Opportunity: Yellow/purple candlesticks (price below BB Lower)
⚙️ Customizable Settings:
All parameters can be modified through indicator settings:
• SMA periods
• Breakout length
• Volume multiplier
• Momentum threshold
• Bollinger Bands parameters
• Toggle display for each feature
This indicator is suitable for traders who want a complete system with multiple confirmation signals for entry and risk management. 🚀📈
Gamma Hedging Pressure 🧠 HOW TO USE THIS (TRADING RULES):
🔴 NEGATIVE GAMMA (Red)
✔ Trade breakouts
✔ Hold winners
✔ Avoid fading moves
✔ Best for trend days
🟢 POSITIVE GAMMA (Green)
✔ Trade mean reversion
✔ Fade extremes
✔ Take profits quickly
✔ Best for scalping
⚪ NEUTRAL
❌ Reduce size
❌ Avoid forcing trades
CRE Multi Pair Scanner
✔ 1 lead asset (capital source)
✔ Multiple receiver assets
✔ CRE signal fires per asset
✔ Table + labels show rotation winner
Structure + MTF + Failed 2U/2D + PDH/PDL Sweeps (Toolkit)How this behaves (so you are not guessing)
1) Liquidity sweeps (PDH/PDL)
PDH Sweep: price trades above yesterday’s high, then (by default) closes back below PDH
PDL Sweep: price trades below yesterday’s low, then closes back above PDL
You can allow wick-only sweeps via the input if you want more signals (and more noise, because humans love noise).
2) Failed 2U / Failed 2D
Failed 2U: candle takes prior high but closes back below it (failure)
Failed 2D: candle takes prior low but closes back above it
If you enable confirmation, the script triggers the “confirmed” entry only when the next candle breaks the fail candle in the intended direction.
3) FTFC strength meter (0–3)
Uses 3 higher timeframes you pick (defaults 15, 60, 240).
Strength = how many of those TF candles are bullish or bearish.
“Aligned” means 2 or 3 agree.
4) Consolidation filter
Flags consolidation when:
You have an inside-bar streak (default 2+) and/or
ATR is compressed vs its own SMA (default threshold 0.80)
Then it can block entries if you enable “Avoid entries during consolidation”.
5) “Setup Ready” alert
Triggers before entries when:
Sweep/rejection context exists (PDH/PDL)
Structure signal is forming (failed or reversal pattern)
Consolidation filter allows it
That’s your “stop chasing every candle” mechanism.
All-in-One SMC: CHOCH | BOS | FVG | OB | LiquidityThis script combines:
BOS (Break of Structure)
CHOCH (Change of Character)
Bullish & Bearish FVGs
Mitigation Order Blocks
Liquidity grabs (equal highs/lows)
Discount / Premium zones (relative to equilibrium)
Big Move Predictor ProThis indicator uses support, resistance and EMA lines to predict accurately which way the market will go and will give you buy or sell signals. With backtest results of 67.5% this indicator is one the best free indicators you can use right now.
Signal Architect Stop-Hunt ProxySignal Architect™ — Developer Note
These daily posts are intentional.
They are designed to help potential users visually observe consistency—not just in outcomes, but in process—across multiple futures products, market conditions, and timeframes, using the Stop Hunt Indicator alongside my proprietary Signal Architect™ framework.
The goal is simple:
To show how structure, behavior, and probability repeat—every day—despite a constantly changing market.
If you follow these posts over time, you will begin to recognize that:
The same behaviors appear across different futures contracts
The same reactions occur on multiple timeframes
The same structural traps and stop events repeat regardless of volatility regime
That consistency is not coincidence.
Consistency is the signal.
Over time, that consistency should become familiar—
and familiarity should become your edge.
🧠 What You’re Seeing (And Why It Matters)
This indicator includes a limited visual preview of a proprietary power signal I have personally developed and refined across:
Futures
Algorithmic trading systems
Options structure
Equity market behavior
Every tool I release is built around one core principle:
Clarity of direction without over-promising or over-fitting.
That is why all Signal Architect™ tools emphasize:
Market structure first
High-probability directional context
Clear, visual risk framing
No predictive claims
No curve-fit illusions
What you see publicly is not the full system—only controlled, educational previews meant to demonstrate how structure and probability align in real markets.
📊 Background & Scope
Over the years, I have personally developed 800+ programs, including:
Equity systems
Futures strategies
Options structure tools
Dividend & income frameworks
Portfolio construction and allocation logic
This includes 40+ Nasdaq-100 trading bots, several operating under extremely strict rule-sets and controlled deployment conditions.
Nothing shared publicly represents my complete internal framework.
Public posts exist for education, observation, and pattern recognition—not signals, not advice, and not promises.
🤝 For Those Who Find Value
If these daily posts help you see the market more clearly:
Follow, boost, and share my scripts, Ideas, and MINDS posts
Feel free to message me directly with questions or build requests
Constructive feedback and collaboration are always welcome
For traders who want to go deeper, optional memberships may include:
Additional signal access
Early previews
Occasional free tools and upgrades
🔗 Membership & Signals:
trianchor.gumroad.com
⚠️ Final Note
Everything published publicly is educational and analytical only.
Markets carry risk.
Discipline, patience, and risk management always come first.
Watch the consistency.
Study the structure.
Let the market repeat itself.
— Signal Architect™
🔗 Personally Developed GPT Tools
AuctionFlow GPT
chatgpt.com
Signal Architect™ Gamma Desk – Market Intelligence
chatgpt.com
Gamma Squeeze Watchtower™
chatgpt.com
eBacktesting - Learning: Liquidity GrabseBacktesting - Learning: Liquidity Grabs highlights moments when price pushes just beyond a recent swing high or swing low (where many stops tend to sit) and then quickly returns back inside the level. This behavior is often called a stop run, sweep, or liquidity grab.
Traders study these events because they can reveal:
- Where liquidity is “resting” (obvious highs/lows)
- A quick sweep and rejection (often a wick)
- When a breakout attempt is actually a trap
- A full candle close through the level, followed by an immediate reversal back inside (classic breakout trap)
- Potential areas where price may reverse or accelerate after stops are taken
Use it as a training tool to build pattern recognition and improve your patience around key levels, especially during active sessions where sweeps happen frequently.
These indicators are built to pair perfectly with the eBacktesting extension, where traders can practice these concepts step-by-step. Backtesting concepts visually like this is one of the fastest ways to learn, build confidence, and improve trading performance.
Educational use only. Not financial advice.
Gold Buy/Sell with BoxesKey Features of This Update
Box-Style Labels: Instead of small icons, this uses label.new to create larger, text-based boxes that provide immediate confirmation ("GOLD BUY CONFIRMED").
Dynamic Positioning: Labels are automatically placed at the high or low of the signal bar to avoid cluttering the price candles.
Multi-Indicator Filter: Signals only trigger when both a Moving Average crossover occurs and momentum (RSI) is in the correct zone, reducing "noise" or false signals in sideways markets.
Alert Ready: You can set mobile or desktop notifications in TradingView by selecting these specific Buy/Sell conditions in the "Create Alert" menu.
Signal Architect Stop-Hunt !GC HOUR.1.12.2026 AM Signal Architect™ — Developer Note
These daily posts are intentional.
They are designed to help potential users visually observe consistency—not just in outcomes, but in process—across multiple futures products, market conditions, and timeframes, using the Stop Hunt Indicator alongside my proprietary Signal Architect™ framework.
The goal is simple:
To show how structure, behavior, and probability repeat—every day—despite a constantly changing market.
If you follow these posts over time, you will begin to recognize that:
• The same behaviors appear across different futures contracts
• The same reactions occur on multiple timeframes
• The same structural traps and stop events repeat regardless of volatility regime
That consistency is not coincidence.
Consistency is the signal.
Over time, that consistency should become familiar—
and familiarity should become your edge.
________________________________________
🧠 What You’re Seeing (And Why It Matters)
This indicator includes a limited visual preview of a proprietary power signal I have personally developed and refined across:
• Futures
• Algorithmic trading systems
• Options structure
• Equity market behavior
Every tool I release is built around one core principle:
Clarity of direction without over-promising or over-fitting.
That is why all Signal Architect™ tools emphasize:
• Market structure first
• High-probability directional context
• Clear, visual risk framing
• No predictive claims
• No curve-fit illusions
What you see publicly is not the full system—only controlled, educational previews meant to demonstrate how structure and probability align in real markets.
________________________________________
📊 Background & Scope
Over the years, I have personally developed 800+ programs, including:
• Equity systems
• Futures strategies
• Options structure tools
• Dividend & income frameworks
• Portfolio construction and allocation logic
This includes 40+ Nasdaq-100 trading bots, several operating under extremely strict rule-sets and controlled deployment conditions.
Nothing shared publicly represents my complete internal framework.
Public posts exist for education, observation, and pattern recognition—not signals, not advice, and not promises.
________________________________________
🤝 For Those Who Find Value
If these daily posts help you see the market more clearly:
• Follow, boost, and share my scripts, Ideas, and MINDS posts
• Feel free to message me directly with questions or build requests
• Constructive feedback and collaboration are always welcome
For traders who want to go deeper, optional memberships may include:
• Additional signal access
• Early previews
• Occasional free tools and upgrades
🔗 Membership & Signals:
trianchor.gumroad.com
________________________________________
⚠️ Final Note
Everything published publicly is educational and analytical only.
Markets carry risk.
Discipline, patience, and risk management always come first.
Watch the consistency.
Study the structure.
Let the market repeat itself.
— Signal Architect™
________________________________________
🔗 Personally Developed GPT Tools
• AuctionFlow GPT
chatgpt.com
• Signal Architect™ Gamma Desk – Market Intelligence
chatgpt.com
• Gamma Squeeze Watchtower™
chatgpt.com
Signal Architect Stop-Hunt !GC. 15 MIN. 1.12.2026 . AM SESSIONSignal Architect™ — Developer Note
These daily posts are intentional.
They are designed to help potential users visually observe consistency—not just in outcomes, but in process—across multiple futures products, market conditions, and timeframes, using the Stop Hunt Indicator alongside my proprietary Signal Architect™ framework.
The goal is simple:
To show how structure, behavior, and probability repeat—every day—despite a constantly changing market.
If you follow these posts over time, you will begin to recognize that:
• The same behaviors appear across different futures contracts
• The same reactions occur on multiple timeframes
• The same structural traps and stop events repeat regardless of volatility regime
That consistency is not coincidence.
Consistency is the signal.
Over time, that consistency should become familiar—
and familiarity should become your edge.
________________________________________
🧠 What You’re Seeing (And Why It Matters)
This indicator includes a limited visual preview of a proprietary power signal I have personally developed and refined across:
• Futures
• Algorithmic trading systems
• Options structure
• Equity market behavior
Every tool I release is built around one core principle:
Clarity of direction without over-promising or over-fitting.
That is why all Signal Architect™ tools emphasize:
• Market structure first
• High-probability directional context
• Clear, visual risk framing
• No predictive claims
• No curve-fit illusions
What you see publicly is not the full system—only controlled, educational previews meant to demonstrate how structure and probability align in real markets.
________________________________________
📊 Background & Scope
Over the years, I have personally developed 800+ programs, including:
• Equity systems
• Futures strategies
• Options structure tools
• Dividend & income frameworks
• Portfolio construction and allocation logic
This includes 40+ Nasdaq-100 trading bots, several operating under extremely strict rule-sets and controlled deployment conditions.
Nothing shared publicly represents my complete internal framework.
Public posts exist for education, observation, and pattern recognition—not signals, not advice, and not promises.
________________________________________
🤝 For Those Who Find Value
If these daily posts help you see the market more clearly:
• Follow, boost, and share my scripts, Ideas, and MINDS posts
• Feel free to message me directly with questions or build requests
• Constructive feedback and collaboration are always welcome
For traders who want to go deeper, optional memberships may include:
• Additional signal access
• Early previews
• Occasional free tools and upgrades
🔗 Membership & Signals:
trianchor.gumroad.com
________________________________________
⚠️ Final Note
Everything published publicly is educational and analytical only.
Markets carry risk.
Discipline, patience, and risk management always come first.
Watch the consistency.
Study the structure.
Let the market repeat itself.
— Signal Architect™
________________________________________
🔗 Personally Developed GPT Tools
• AuctionFlow GPT
chatgpt.com
• Signal Architect™ Gamma Desk – Market Intelligence
chatgpt.com
• Gamma Squeeze Watchtower™
chatgpt.com
Multi TF Volume ATRThis indicator measures volatility using ATR applied to volume across multiple timeframes. It helps identify when real momentum enters the market by showing volume spikes on 1h, 4h, 12h, and Daily charts. When several timeframes spike at the same time, it often signals strong moves, breakouts, or major shifts in volatility.
The script calculates Volume ATR for 1h, 4h, 12h, and 1D. Each timeframe generates its own spike condition. The indicator then checks for alignment between timeframes. The 1h histogram changes color based on the strength of the signal.
Red means multi timeframe alignment. This is the strongest signal and shows that several timeframes are spiking together.
Yellow means a 1h spike only. This is an early warning of local volatility.
Blue means no spike.
The indicator also plots higher timeframe ATR lines for context. These include 4h ATR, 12h ATR, and 1D ATR. When these lines rise together, volatility is building. Spike markers appear at the top of the pane when higher timeframes trigger.
You can choose how strict the alignment should be. Options include all three timeframes (1h, 4h, 12h), at least two timeframes, or including the daily timeframe for even stronger confirmation.
The script includes alert conditions for 1h spikes, multi timeframe alignment spikes, and daily spikes. These alerts help you stay ahead of volatility without watching charts constantly.
This indicator is useful for many trading styles. Breakout traders use red bars to confirm momentum. Mean reversion traders use daily spikes to confirm volatility conditions. Trend traders watch rising 4h and 12h ATR lines. Scalpers use yellow bars as early warnings.
Volume ATR shows how quickly volume is expanding. When several timeframes spike together, it often signals institutional activity, liquidity events, volatility shifts, breakouts, or reversals. This provides information that price alone cannot show.
First Candle Session Levels. Sessions custom timeframes settingsFirst Candle Rule – Scalping Itinerary
Chart Setup
Use two charts at the same time: the five-minute chart and the one-minute chart. This double-chart approach allows you to define structure on the higher timeframe and execute with precision on the lower timeframe.
The First Candle
Focus on the first five-minute candle of the session. Once this candle has fully closed, mark its high and its low. These two price levels form the operating range for the setup.
Execution Phase
After the range is marked, wait for price to return into or react around the first candle range. Execution is carried out on the one-minute chart, using price reaction at the high or low of the first five-minute candle.
Conceptual Framework
This method is built around Smart Money Concepts and Inner Circle Trader principles. It aligns closely with first candle theory and candle range theory. If you understand ICT concepts, the logic behind this setup will be immediately familiar.
Strategy Type
This is a scalping system designed to be simple, repeatable, and effective on a daily basis. It is not about prediction, but about reacting to price within a clearly defined range.
Learning Path
To fully understand the background of this approach, study first candle theory and related ICT material on YouTube. This will help you see how and why the setup works across different market conditions.
Final Purpose
This algorithm was built to be accessible to everyone. The objective is consistency, discipline, and structure, with the long-term goal of helping traders work toward financial freedom through a clear and repeatable process.
Sarina - 2EMA Dynamic & BB - 01132026Here is a concise and professional description of your indicator in English, designed to be shared with others. It highlights the logic of "Dynamic Adaptation" and the "Anti-Noise" system without being overly technical.
Indicator Description: EMA Dynamic - Pro Adaptive System
This indicator is a high-performance trend-following tool designed to filter market noise and adapt to real-time price volatility. Unlike standard EMAs that use a fixed length, this system uses a Computational Logic that expands or contracts its period based on price momentum and distance.
Key Features:
Dynamic EMA Core: The lengths (c1 & c2) are not static. They increase or decrease dynamically as price moves, allowing the indicator to "speed up" during breakouts and "slow down" during consolidations.
Shock-Absorber (Stability Logic): To prevent "false signals" during sudden spikes, the indicator includes a stabilization filter (No-Shock). It only confirms a trend change after the price maintains its position relative to the EMAs for a specified number of bars.
Volatility-Linked Bollinger Bands: The Bollinger Bands are anchored to the Dynamic EMA 1, meaning the volatility channels expand and contract in perfect harmony with the adaptive core of the system.
Dual-Layer Signal System: Includes S-Signals (Fast/Scalp) and P-Signals (Pro/Trend) to identify different layers of market entry and exit points.
Visual Efficiency: Designed for clean charts. Works best with "Wick-only" candlestick views to focus strictly on price rejection and dynamic trend structures.
Best Used For: Identifying the "Safe Middle" of a move and avoiding the traps set by market makers during choppy price action.
Would you like me to create a separate Readme file or a Setup Guide for users who want to know exactly how to tune the "Step Inc/Dec" settings?
30d Rolling TWAP (Hourly)code:
//@version=5
indicator("30d Rolling TWAP (Hourly)", overlay=true)
// Calculation: (High + Low + Close) / 3
typicalPrice = hlc3
// 30 days * 24 hours = 720 bars
length = 720
twap30 = ta.sma(typicalPrice, length)
// Plotting
plot(twap30, color=color.new(#2962FF, 0), title="30d Hourly TWAP", linewidth=2)
// Optional: Background highlight
fillColor = close > twap30 ? color.new(color.green, 90) : color.new(color.red, 90)
bgcolor(fillColor)
Long + Short + Signal//@version=6
indicator("Long + Short + Signal", overlay=true)
Buy = input.bool(false, "Buy ")
Sell = input.bool(false, "Sell ")
// ================= INPUTS =================
// ---- LONG ----
periodK_Long = 50
smoothK_Long = 3
periodD_Long = 3
// ---- SHORT ----
periodK_Short = 14
smoothK_Short = 3
periodD_Short = 3
// ================= FUNCTIONS =================
f_stoch_long(tf) =>
k = request.security(syminfo.tickerid, tf,
ta.sma(ta.stoch(close, high, low, periodK_Long), smoothK_Long))
d = request.security(syminfo.tickerid, tf,
ta.sma(k, periodD_Long))
k > 50 and d > 50 ? color.green : k < 40 and d < 40 ? color.red : color.gray
f_stoch_short(tf) =>
k = request.security(syminfo.tickerid, tf,
ta.sma(ta.stoch(close, high, low, periodK_Short), smoothK_Short))
d = request.security(syminfo.tickerid, tf,
ta.sma(k, periodD_Short))
k > 60 and d > 60 ? color.green : k < 40 and d < 40 ? color.red : color.gray
// ================= TABLE =================
// 2 rows × 8 columns
var table t = table.new(position.top_right, 8, 2, border_width=3)
if barstate.islast
// ===== HEADINGS (BIGGER) =====
table.cell(
t, 0, 0, "Short",
bgcolor=color.black,
text_color=color.white,
text_size=size.large,
text_halign=text.align_center
)
table.cell(
t, 0, 1, "Long",
bgcolor=color.black,
text_color=color.white,
text_size=size.large,
text_halign=text.align_center
)
// ===== LONG ROW =====
table.cell(t, 1, 0, "1m", bgcolor=f_stoch_short("1"), text_color=color.white, text_size=size.normal)
table.cell(t, 2, 0, "5m", bgcolor=f_stoch_short("5"), text_color=color.white, text_size=size.normal)
table.cell(t, 3, 0, "15m", bgcolor=f_stoch_short("15"), text_color=color.white, text_size=size.normal)
table.cell(t, 4, 0, "60m", bgcolor=f_stoch_short("60"), text_color=color.white, text_size=size.normal)
table.cell(t, 5, 0, "D", bgcolor=f_stoch_short("D"), text_color=color.white, text_size=size.normal)
table.cell(t, 6, 0, "W", bgcolor=f_stoch_short("W"), text_color=color.white, text_size=size.normal)
table.cell(t, 7, 0, "M", bgcolor=f_stoch_short("M"), text_color=color.white, text_size=size.normal)
// ===== SHORT ROW =====
table.cell(t, 1, 1, "1m", bgcolor=f_stoch_long("1"), text_color=color.white, text_size=size.normal)
table.cell(t, 2, 1, "5m", bgcolor=f_stoch_long("5"), text_color=color.white, text_size=size.normal)
table.cell(t, 3, 1, "15m", bgcolor=f_stoch_long("15"), text_color=color.white, text_size=size.normal)
table.cell(t, 4, 1, "60m", bgcolor=f_stoch_long("60"), text_color=color.white, text_size=size.normal)
table.cell(t, 5, 1, "D", bgcolor=f_stoch_long("D"), text_color=color.white, text_size=size.normal)
table.cell(t, 6, 1, "W", bgcolor=f_stoch_long("W"), text_color=color.white, text_size=size.normal)
table.cell(t, 7, 1, "M", bgcolor=f_stoch_long("M"), text_color=color.white, text_size=size.normal)
lengthK = 14
lengthD = 3
lengthEMA = 3
emaEma(source, length) => ta.ema(ta.ema(source, length), length)
highestHigh = ta.highest(lengthK)
lowestLow = ta.lowest(lengthK)
highestLowestRange = highestHigh - lowestLow
relativeRange = close - (highestHigh + lowestLow) / 2
smi = 200 * (emaEma(relativeRange, lengthD) / emaEma(highestLowestRange, lengthD))
// ===== BUY / SELL CONDITIONS =====
buyEntry = ta.crossover(smi, 50)
buyExit = ta.crossunder(smi, 50)
sellEntry = ta.crossunder(smi, -40)
sellExit = ta.crossover(smi, -40)
// ===== PLOTS =====
plotshape( Buy and buyEntry, title="BUY", style=shape.triangleup,location=location.belowbar, color=color.green,size=size.small, text="BUY")
plotshape( Buy and buyExit, title="EXIT BUY", style=shape.triangledown, location=location.abovebar, color=color.lime,size=size.tiny, text="EXIT")
plotshape( Sell and sellEntry,title="SELL", style=shape.triangledown, location=location.abovebar, color=color.red, size=size.small, text="SELL")
plotshape( Sell and sellExit, title="EXIT SELL", style=shape.triangleup, location=location.belowbar, color=color.orange, size=size.tiny, text="EXIT")
shortest = ta.ema(close, 9)
shortEMA = ta.ema(close, 21)
longer = ta.ema(close, 50)
longest = ta.ema(close, 200)
plot(shortest, color=color.red, title="EMA 9")
plot(shortEMA, color=color.orange, title="EMA 21")
plot(longer, color=color.aqua, title="EMA 50")
plot(longest, color=color.blue, title="EMA 200")
EST Time Table//@version=6
indicator("EST Time Table", overlay = true)
// ─── Table Settings ─────────────────────────────────────────────
var table timeTable = table.new(
position.top_right,
1, 12,
border_width = 1
)
// ─── Header ────────────────────────────────────────────────────
if barstate.isfirst
table.cell(timeTable, 0, 0, "Time (EST)",
bgcolor = color.black,
text_color = color.white,
text_size = size.normal)
// ─── Time Rows ─────────────────────────────────────────────────
times = array.from(
"2:00 AM",
"6:00 AM",
"8:00 AM",
"8:30 AM",
"9:00 AM",
"9:30 AM",
"10:00 AM",
"11:00 AM",
"14:00 PM",
"19:00 PM",
"21:00 PM"
)
// ─── Fill Table ────────────────────────────────────────────────
for i = 0 to array.size(times) - 1
bg = i % 2 == 0 ? color.rgb(220, 220, 220) : color.white
table.cell(
timeTable,
0,
i + 1,
array.get(times, i),
bgcolor = bg,
text_color = color.black,
text_size = size.normal
)
Taro SNR RulesHow to Use:
Open the indicator Settings panel.
As you perform your technical analysis across different timeframes, update the corresponding fields in the menu.
The dashboard will instantly update its colors, providing a "Green Light / Red Light" system for your final trade execution.
Ideal for any strategy that requires multi-timeframe confluence and discipline.
Gold Killer Ultimate - Precision & PipsGold Killer Ultimate - Precision & Pips
//@version=5
indicator("Gold Killer Ultimate - Precision & Pips", overlay=true, max_labels_count=500)
// ==========================================
// 1. KONFIGURASI & INPUT
// ==========================================
group_time = "Acuan Waktu"
target_hour = input.int(23, "Jam POS Harian (UTC)", minval=0, maxval=23, group=group_time)
target_min = input.int(0, "Menit POS Harian", minval=0, maxval=59, group=group_time)






















