EMA 9/24/50/100/200 v6This Pine Script® v6 indicator plots five distinct Exponential Moving Averages (EMAs) onto a single trading chart to help identify trend direction and momentum. By calculating the 9, 24, 50, 100, and 200-period averages, the script allows you to visualize short-term price action alongside long-term support and resistance levels. It uses a color-coded hierarchy and varying line thicknesses to make the different timeframes easy to distinguish at a glance.
차트 패턴
Strat Master FTFC v1Setup Ready alert fires on the close of the last “setup” candle (the candle right before the entry trigger candle).
Entry alert still fires intrabar when the current candle becomes 2U/2D and takes out the trigger.
Below is the fully updated, compiling Pine v5 script with:
All your reversal patterns
Real FTFC (0–3) + flip alerts
Calls/Puts bias + strike
Gap-safe takeout (no crossover)
NEW: Setup Ready alerts for every pattern (bar-close only)
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
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
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
1H Buy: Engulf @ 20EMA + Vol + HTF Bull + Break Highbuy signal on the one hour for bullish engulfing strategy. Forms at the 20EMA, volume expansion, higher timeframe (4h) is bullish, next candle breaks engulfing candle.
Wx Gann WindowsWx Gann Windows — Seasonal Time Windows & Forward Markers
Wx Gann Windows highlights the handful of Gann-style seasonal dates that matter most, without cluttering your chart. It draws subtle “time windows” around key dates each year and optionally projects the next 12 months of dates into the future so you can keep them in mind when planning trades or options spreads.
What it shows
1. Seasonal Windows (background bands)
• Equinox / Solstice windows (Spring, Summer, Autumn, Winter).
• Optional midpoint (cross-quarter) windows: early Feb / May / Aug / Nov.
• Each window is a small number of days (default 3) centered on the approximate calendar date, with a soft background band so price action remains in focus.
2. On-Chart Labels (optional)
• Small labels like “Spring Eq.”, “Winter Sol.”, “Feb Mid” printed just above the current chart’s price range.
• One label per window, on the first bar of the window.
3. Future Projections (next 12 months)
• For each key date, the script projects the next occurrence into the future.
• Draws a vertical dotted line from near the chart low to above the chart high, plus a label such as “Spring Eq. (next)” or “Aug Mid (next)”.
• This gives you a 12-month “time roadmap” for cycles-sensitive planning (e.g., options, swing trades) without manual date marking.
Inputs
Window Settings
• Equinox / Solstice Window (days) – size of the seasonal bands (default 3 days).
• Midpoint Window (days) – size of the mid-Feb / May / Aug / Nov bands.
Visibility
• Show Equinox & Solstice Windows – toggle main seasonal bands on/off.
• Show Midpoint Windows (Feb/May/Aug/Nov) – toggle cross-quarter bands.
• Show Labels (on windows) – show/hide the on-chart labels above price.
Future Projections
• Project Next 12 Months (future markers) – toggle the forward vertical lines + “(next)” labels.
How to use it
• Treat these dates as awareness windows, not prediction signals.
• Use them to:
• Be extra alert for potential turns, accelerations, or exhaustion.
• Tighten risk or avoid opening new positions right into a window if your system suggests caution.
• Plan options expiries or swing entries with time structure in mind.
Always confirm decisions with your own system (trend, structure, volume, breadth, macro), not the dates alone.
Notes & Disclaimer
• Dates are approximate calendar anchors inspired by Gann’s seasonal and cross-quarter work, using simple ±N-day windows.
• Works on any symbol and timeframe; windows are based on calendar dates, not bar count.
• This tool is educational and informational only. It does not place orders and is not financial advice. Always test and integrate with your own strategy and risk management.
Peter's Relative Strength vs VTI (1 year)In Stockcharts.com, I would always view 1-year charts and have a RS line showing relative strength of the stock or ETF I'm looking at relative to VTI. When I moved to TradingView, this information was harder to see, so I made this indicator. It always shows what the stock or ETF has done relative to the wider market over the past 1 year.
David's Macro FVG [v6]Describe the script. in human terms
In human terms, this script is like an automated security guard for your trading chart. It has one job: to only let you look at the screen when the "Smart Money" is actually working.
Here is the breakdown of how it "thinks" in plain English:
1. The Gatekeeper (The Clock)
The script starts by looking at the clock. It knows your rule: 10 minutes before the hour to 10 minutes after.
If it’s 2:30 PM: The guard is "asleep." It won't draw anything because this is the time when the market is often manually manipulated or messy.
If it’s 2:55 PM: The guard "wakes up." It starts scanning every single candle because it knows the institutional algorithms are about to start moving the market.
2. Spotting the "Footprint" (The FVG)
While the guard is awake, it looks for a specific pattern of three candles.
Imagine the market is a snowy field. If a giant walks through, they leave a huge, clear footprint where the snow is pressed down.
An FVG is that footprint. It’s a place where the price moved so fast (displacement) that it didn't have time to "shake hands" with the previous price.
The script sees this "gap" and draws a colored box over it so you can see exactly where the giant stepped.
3. Painting the Target
The script doesn't just find the gap; it turns it into a Zone.
Green Boxes: These are "Buy Zones." The script is saying, "The Algos pushed price up so fast here that they left an imbalance. They will likely come back to this box to fill their remaining orders."
Red Boxes: These are "Sell Zones." The script is saying, "The Algos slammed the price down. Watch for the price to return to this red box so you can go short."
4. Keeping it Clean
Because you asked for no "clutter," the script is designed to be quiet.
It doesn't draw lines in the middle.
It doesn't draw boxes outside of your macro times.
It just puts a Blue Background on your chart when it's "Macro Time." If you see blue, you look for a box. No blue? No trade.
Summary Checklist for You:
Blue Background? If yes, the "Security Guard" is awake.
Did a Box Appear? If a green or red box appears, that is your Fiji/FVG setup.
The Touch: You wait for the price to move back and "step inside" that box. That is your entry.
This script takes your $26k loss experience and turns it into a disciplined system. It forces you to stop over-trading and only strike when the algorithmic window is wide open.
In-Depth Guide for the 9:50 Macro
This video is relevant because it provides a deep dive into the specific 9:50 AM macro window, showing how institutional timing and price delivery work together to create the exact setups your script is designed to find.
In-Depth Guide for the 9:50 Macro | ICT Concepts - YouTube
flux trades · 41K views
23:00 London 15m -> Asia Close (No colors)//@version=5
indicator("23:00 London 15m -> Asia Close (No colors)", overlay=true, max_lines_count=50, max_labels_count=50)
tz = "Europe/London"
// set Asia close in London time
asiaCloseHour = input.int(6, "Asia close hour (London)", minval=0, maxval=23)
asiaCloseMin = input.int(0, "Asia close minute", minval=0, maxval=59)
is15 = timeframe.period == "15"
is2300 = hour(time, tz) == 23 and minute(time, tz) == 0
cond = is15 and is2300
var line hiLine = na
var line loLine = na
var label info = na
f_asiaCloseTs(_t) =>
y = year(_t, tz)
m = month(_t, tz)
d = dayofmonth(_t, tz)
closeToday = timestamp(tz, y, m, d, asiaCloseHour, asiaCloseMin)
closeNext = timestamp(tz, y, m, d + 1, asiaCloseHour, asiaCloseMin)
_t >= closeToday ? closeNext : closeToday
if cond
hi = high
lo = low
endTs = f_asiaCloseTs(time)
if not na(hiLine)
line.delete(hiLine)
if not na(loLine)
line.delete(loLine)
if not na(info)
label.delete(info)
// High line
hiLine := line.new(time, hi, endTs, hi, xloc=xloc.bar_time, extend=extend.none, width=2)
// Low line
loLine := line.new(time, lo, endTs, lo, xloc=xloc.bar_time, extend=extend.none, width=2)
// Label with exact values
info := label.new(endTs, hi, xloc=xloc.bar_time,
text="23:00 London (15m) High: " + str.tostring(hi, format.mintick) + " Low: " + str.tostring(lo, format.mintick),
style=label.style_label_left)
Previous Highs and Lows (M, W, D) Displays previous Monthly, Weekly, and Daily key swing highs/lows with clean , timeframe-specific coloring. Essential structure reference for multi-timeframe traders!!
Your Monthly/Weekly/Daily structural backbone in one indicator!!!!
Intervalo de la confianza T.JODENStandard deviation measures how dispersed the data in a set is relative to its average (mean). A low standard deviation indicates that the data is clustered close to the mean, while a high standard deviation shows that it is widely spread, making it useful for evaluating consistency and risk (in finance).
This work provides two channels within a single indicator, making it more powerful for providing dual information.
The Confidence Interval-10 (CI-10) channel (FOMO and FUD) contains another channel representing the Standard Deviation of 14-day data (14-day SMA and 14-day VWMA).
All you have to do is adjust the last two data points to reduce the color of the channels, and you'll see the second channel appear almost magically.
Analyze the second channel within the main channel. This channel uses the 14-day Standard Deviation (STD-14), the 14-day SMA, and the 14-day VWMA.
NOTE: This is not investment or trading advice.
Users assume all risk of loss.
But if you profit from your investments using this indicator, remember that you've done well.
Crypto Options Confluence Overlay Crypto Options Confluence Overlay is a decision-first options framework designed to help crypto traders answer one core question clearly and consistently:
Should I trade CALLs, PUTs, or stand down today?
This indicator does not attempt to price options or replace Greeks. Instead, it focuses on timing, directional bias, and structured exits, using a confluence of price, volatility, momentum, and higher-timeframe context on the daily chart.
It is designed specifically for crypto options and perpetuals, where volatility is high and overstaying trades is often more dangerous than missing them.
What This Indicator Shows
1️⃣ Directional Bias (CALL / PUT / NO-TRADE)
CALL → bullish directional environment
PUT → bearish directional environment
NO-TRADE → mixed alignment (stand down)
This bias is derived from:
Mean trend alignment
Momentum structure (Stoch RSI behavior)
Volatility context (ATR + deviation bands)
Optional weekly directional filter
2️⃣ Timing Window
The indicator highlights whether a trade window is ACTIVE, BUILDING, or OFF.
ACTIVE → valid timing environment
BUILDING → momentum approaching, but not ready
OFF → no timing edge present
This prevents entering trades too early or after momentum has already passed.
3️⃣ Preferred Entry Zone (PEZ)
Shaded zones visually guide where entries are statistically cleaner, rather than chasing price.
Green PEZ → preferred CALL entry region
Red PEZ → preferred PUT entry region
These zones are informational — they help assess entry quality, not force entries.
4️⃣ Primary Exit (Early Profit Zone)
Instead of encouraging traders to hold for a full ATR move, the indicator introduces a Primary Exit, which represents a partial ATR objective.
This:
Reduces emotional decision-making
Encourages consistent profit capture
Aligns better with how options premiums often move
The Primary Exit is intentionally designed as a realistic exit, not a maximum move target.
5️⃣ ATR Target & Risk Context
For traders who want structure:
ATR Target → extended move reference
Band-based Risk Line → invalidation zone
These are context tools, not mandatory holds.
6️⃣ Confidence Score
Each trade environment is scored (e.g., 2/4, 3/4) based on alignment factors.
Higher scores indicate cleaner conditions, not guaranteed outcomes.
How to Use the Indicator (Model Trade Example)
Example: CALL Trade
Bias: CALL
Window: ACTIVE
Confidence: 3/4 or higher
Price Location: Inside or near GREEN PEZ
Entry: Near PEZ during the active window
Primary Exit: At the Primary Exit line
Optional Runner: Toward ATR target if momentum remains strong
Risk: Below the Band-1 risk line
If bias flips to NO-TRADE or PUT, the trade is considered invalid.
Example: PUT Trade
The same process applies in reverse:
Red PEZ
Downside Primary Exit
Risk above Band-1 high
What This Indicator Is — and Is Not
✔ Is
A structured decision engine
Designed for crypto options behavior
Focused on timing + exits
Effective for avoiding bad trades
✖ Is Not
A signal-only indicator
A replacement for position sizing
A guarantee of profit
A strategy that forces constant trading
Recommended Use
Daily timeframe
Liquid crypto pairs
Options or perpetual traders
Traders who value discipline over frequency
Final Note
This indicator will often say NO-TRADE — by design.
Standing down is considered a valid, successful outcome.
My Swift-like Algo ALIMOJANIDSwift Algo Chart is a trend-following trading indicator designed to provide clear bias, precise entries, and visual risk management.
It combines EMA trend direction, pullback-based signals, market structure (HH/HL/LH/LL), and ATR-based Stop Loss & Take Profit levels to help traders make disciplined decisions.
🔑 Key Features
Trend Regime Detection
Identifies LONG, SHORT, or NO TRADE conditions using Fast & Slow EMAs.
Pullback Entry Signals
Signals appear only in the direction of the active trend, with optional RSI confirmation.
ATR-Based Risk Levels
Automatically plots SL, TP1, and TP2, including exact price values on the chart.
Preview Levels
Shows projected SL/TP levels when a trend is active, even before an entry.
Market Structure Visualization
Marks HH / HL / LH / LL, draws structure lines, and highlights BOS and CHOCH.
Clean & Non-Repainting Logic
Uses confirmed pivots and closed candles for stability.
Strategy-Compatible
Can be used for discretionary trading or full strategy backtesting.
🧠 Best Used For
Crypto, Forex, Indices
15m to 4H timeframes
Traders who want structure + trend + risk clarity in one tool
Smart S&D v1.0 [Breaker Blocks]Automatically marks off supply and demand zones based on previous and consequent candles.
Previous and consequent candles can be changed.
Recommend 5:3 for 15m, or 7:5 for 10m
ATR default 1
Volume confirmation off by default but there as an option
The number on bars is the number of times price has bounced off the zone. After 3 bounces (this can be changed/personalized in settings) the zone is exhausted and removed.
If price breaks through a zone, it becomes a breaker zone, flipping supply to demand, or demand to supply. Ideal for a break and retest setup.
My Swift-like Algo J.ALIMOJANIDSwift Algo Chart — Trend, Structure & ATR Risk
Swift Algo Chart is a trend-following trading indicator designed to provide clear bias, precise entries, and visual risk management.
It combines EMA trend direction, pullback-based signals, market structure (HH/HL/LH/LL), and ATR-based Stop Loss & Take Profit levels to help traders make disciplined decisions.
🔑 Key Features
Trend Regime Detection
Identifies LONG, SHORT, or NO TRADE conditions using Fast & Slow EMAs.
Pullback Entry Signals
Signals appear only in the direction of the active trend, with optional RSI confirmation.
ATR-Based Risk Levels
Automatically plots SL, TP1, and TP2, including exact price values on the chart.
Preview Levels
Shows projected SL/TP levels when a trend is active, even before an entry.
Market Structure Visualization
Marks HH / HL / LH / LL, draws structure lines, and highlights BOS and CHOCH.
Clean & Non-Repainting Logic
Uses confirmed pivots and closed candles for stability.
Strategy-Compatible
Can be used for discretionary trading or full strategy backtesting.
🧠 Best Used For
Crypto, Forex, Indices
15m to 4H timeframes
Traders who want structure + trend + risk clarity in one tool
Options Confluence Overlay - Stocks (1D) The Options Confluence Overlay — Stocks is a daily timeframe indicator designed for equities and ETFs, with a focus on timing, structure, and risk clarity rather than frequent signals.
This tool combines price structure, volatility, and momentum timing into a single visual framework that helps traders decide when to trade, when to stand aside, and where risk and exits are clearly defined.
Unlike fast-signal indicators, this script emphasizes trade quality over trade quantity.
🔍 What the indicator does
The indicator evaluates four core components on the daily chart, with an optional weekly trend filter:
• Mean + Deviation Band (Band 1) to define structure
• ATR-based targets to project realistic price expansion
• Momentum timing using Stochastic RSI (cross or approach)
• Confluence scoring to allow or block trades
Only when these elements align does the indicator permit a CALL, PUT, or display NO-TRADE.
🟩 Preferred Entry Zone (PEZ)
When a CALL or PUT is allowed, the indicator highlights a Preferred Entry Zone (PEZ):
• CALL PEZ: Mean → Lower Band
• PUT PEZ: Mean → Upper Band
This zone represents areas where risk is better defined and entries are typically more favorable.
🎯 Primary Exit (Partial ATR)
Instead of encouraging traders to chase full volatility expansion, the indicator includes a Primary Exit level:
• A configurable percentage of ATR
• Designed to capture early, high-probability movement
• Especially useful for shorter-term trades or profit protection
Full ATR targets are still shown, but the Primary Exit is intended as the first decision point, not a promise of full extension.
🧠 Entry Quality (Informational)
When enabled, the dashboard displays an Entry Quality hint:
• PEZ Deep — price is deeper into the zone (higher potential, higher patience required)
• PEZ Shallow — price is closer to the mean (faster, but less extended setups)
This is informational only and does not block trades.
🚦 Trade states
The dashboard clearly communicates one of three states:
• CALL allowed
• PUT allowed
• NO-TRADE (conditions are mixed or incomplete)
The indicator is intentionally conservative during NO-TRADE periods.
⚠️ Important notes
• Designed for stocks and ETFs, not crypto
• Intended for daily timeframe analysis
• Not financial advice
• Always combine with proper risk management
📘 Model Trade Example (CALL)
The dashboard shows CALL allowed
Price pulls back into the green PEZ
Weekly filter confirms bullish direction
Enter near the PEZ (no chasing breakouts)
Risk: below Band 1 low
Primary Exit: at the yellow Primary Exit level
Optional: hold partial size toward full ATR target if momentum remains strong
If the dashboard changes to NO-TRADE, no new entries are taken.
📕 Model Trade Example (PUT)
The dashboard shows PUT allowed
Price rallies into the red PEZ
Weekly filter confirms bearish direction
Enter near resistance inside PEZ
Risk: above Band 1 high
Primary Exit: at the yellow Primary Exit level
Avoid holding through momentum exhaustion
Angle-able Thick Linean options to get thicker/thick trendlines. personally i dont think 4 pixels is wide enough so i made this, here you go
My Swiftlike Algo Backtest ATR SL/TP HH/HL/LH/LL BOS/CHOCHSwift-Like Algo is a trend-following strategy that trades pullbacks using EMA trend direction, market structure (HH/HL/LH/LL), and ATR-based risk management.
It enters only in the direction of the trend, with automatic Stop-Loss, TP1, and TP2, and supports full strategy backtesting.
Best used on 15m–4H timeframes for crypto, forex, and indices.
⚠️ For educational and testing purposes only.
Spearman Correlation🔗 Spearman Correlation – Ranked Relationship Tracker
Overview:
This indicator calculates and plots the Spearman Rank Correlation Coefficient between the current chart’s asset and a custom comparison ticker (the example shown is BTC vs the OTHERS market cap for crypto). Unlike Pearson correlation, which measures linear relationships, Spearman correlation captures monotonic (ranked) relationships—making it better suited for analysing assets that move in sync but not necessarily in a linear fashion.
🧠 What It Does:
Computes ranked correlation between two assets over a user-defined lookback period
Smooths the correlation curve for better readability
Visually shades the background by correlation strength and direction:
🟩 Strong Positive (+0.5 to +1)
🟨 Weak Positive (+0.1 to +0.5)
⬜ No Correlation (–0.1 to +0.1)
🟧 Weak Negative (–0.5 to –0.1)
🟥 Strong Negative (–1 to –0.5)
⚙️ User Inputs:
Lookback Period: Number of bars used to calculate correlation
Comparison Ticker: Choose any asset to compare against
Shading Toggles: Customize which correlation zones are highlighted
📈 Use Cases:
Identify evolving relationships between assets (e.g., BTC vs DXY, ETH vs SPX)
Spot when assets become inversely correlated or lose correlation entirely
Track regime shifts where traditional relationships break down or re-align
Use alongside trend or momentum strategies to add a cross-asset confirmation layer
🔍 Interpreting the Correlation:
+1 → Perfect positive (ranks match exactly)
+0.5 to +1 → Strong positive relationship
+0.1 to +0.5 → Weak but positive relationship
–0.1 to +0.1 → Essentially uncorrelated
–0.5 to –0.1 → Weak negative correlation
–1 to –0.5 → Strong inverse relationship
–1 → Perfect negative (rankings are completely opposite)
🧪 Technical Notes:
Calculation uses ranked returns to better reflect monotonic relationships
Smoothed with a simple moving average (SMA) for stability
Arrays are managed internally to maintain performance and adaptability
This script is ideal for traders seeking deeper insight into cross-asset dynamics, portfolio hedging, or timing divergence-based strategies.
Directional Comparisons - Two Tickers📊 Directional Comparisons – Two Tickers
Overview:
This tool allows you to visually and statistically compare the directional behaviour of any two assets on any chart timeframe. It identifies and color-codes each bar based on how both the current asset and your chosen comparison asset performed in that period (e.g., both up, both down, diverging). A statistical summary table dynamically updates in the corner of your chart, tracking the probability and streak performance of each condition.
🛠 How It Works:
Each candle is analysed and color-coded based on the relationship between the current chart's asset and a comparison asset of your choice:
✅ Green – Both tickers closed higher (bullish alignment)
🔻 Red – Both tickers closed lower (bearish alignment)
🔷 Blue – Current ticker up, comparison ticker down (positive divergence)
🟧 Orange – Current ticker down, comparison ticker up (negative divergence)
You can toggle each colour condition on/off independently.
📈 Statistical Table (Top Right):
For the candles in the visible chart range, the indicator displays:
The frequency (probability) of each condition
Longest, shortest, and average streaks for each condition
Average % change for both the current and comparison asset under each scenario
All stats auto-update as you zoom or scroll through the chart.
🔧 User Inputs:
Comparison Ticker: Choose any ticker symbol to compare against the current chart
Toggle Conditions: Enable or disable individual directional conditions (color-coded)
✅ Use Cases:
Spot high-probability alignment zones between two assets (e.g., BTC vs ETH, SPX vs VIX)
Identify divergence opportunities for trading signals
Analyse historical relationships and co-movements between assets
Perform correlation streak studies directly on the chart
🔍 Notes:
The script works across all timeframes (1min to monthly).
Stats only consider visible bars on your chart for responsiveness.
Ideal for pair traders, macro analysts, or anyone interested in cross-asset relationships.
Swift-like Algo (V1) Trend Pullback ATR Risk AlimojanidThis indicator is a simple, rule-based trend-following system designed to help identify potential LONG and SHORT opportunities using market structure, momentum, and volatility.
It is inspired by professional “algo-style” tools, but built from scratch for learning, transparency, and flexibility.
🔹 How it works
1️⃣ Trend Detection
Uses Fast EMA vs Slow EMA
Only looks for:
LONGs in bullish trends
SHORTs in bearish trends
2️⃣ Entry Logic
Waits for a pullback toward the fast EMA
Confirms direction using price behavior
Optional RSI filter to avoid weak momentum trades
3️⃣ Risk Management
Stop Loss (SL) and Take Profit (TP) levels are calculated using ATR
Risk is defined in R-multiples (TP1, TP2)
Designed to adapt to market volatility
4️⃣ Visual & Alerts
Clear LONG / SHORT arrows
Automatic SL / TP level plotting
Built-in alert conditions for trade notifications
⚙️ Settings You Can Adjust
EMA lengths (trend sensitivity)
RSI confirmation (on/off)
ATR stop size
Risk-reward targets
Cooldown bars to avoid over-trading
⚠️ Disclaimer
This indicator is NOT a guaranteed trading system and should not be used as financial advice.
Always:
Backtest on your own market and timeframe
Use proper risk management
Paper trade before using real funds
The author is not responsible for any trading losses.
💡 Notes
Best used on trending markets
Works on Forex, Crypto, Indices, and Commodities
Timeframes: 15m and higher recommended
4 EMA Perfect Order + Strength + MTF + Breakdown Alerts (v6)🇯🇵 日本語説明文
📌 スクリプト概要
このスクリプトは、EMA10・20・40・80 を使用して「パーフェクトオーダー(PO)」を判定し、
PO が確定した瞬間と、PO が崩壊した瞬間の両方を自動で検知して通知します。
さらに、PO の強さ(短期と長期 EMA の乖離率)を数値化して表示し、
上位足(MTF)でも同様の判定と強さ表示が可能です。
トレンドの「始まり」と「終わり」をどちらも捉えることができる、
トレンドフォローに最適化されたインジケーターです。
🔧 機能一覧
• EMA10/20/40/80 のライン表示(黒・赤・オレンジ・青)
• パーフェクトオーダー(Bull/Bear)の自動判定
• PO確定時に矢印(▲/▼)を表示
• PO崩壊(Break)を検知してシグナル表示
• POの強さ(乖離率)をリアルタイム表示
• 上位足(MTF)での PO 判定と強さ表示
• アラート条件付き
• Bull PO 確定
• Bear PO 確定
• Bull PO 崩壊
• Bear PO 崩壊
• 背景は白で視認性を重視
📈 パーフェクトオーダーとは?
• Bull PO(上昇トレンド)
EMA10 > EMA20 > EMA40 > EMA80
• Bear PO(下降トレンド)
EMA10 < EMA20 < EMA40 < EMA80
PO が確定したバーで矢印とアラートが発生し、
PO が崩れた瞬間にもアラートが発生します。
🧠 活用例
• トレンドの勢い(強さ)を数値で把握
• 上位足のトレンドと一致しているか確認
• トレンドフォロー戦略のフィルターとして利用
• PO崩壊を使って利確・撤退の判断材料に
• MTFと組み合わせて精度を向上
🇺🇸 English Description
📌 Overview
This script detects “Perfect Order” (PO) conditions using EMA10, EMA20, EMA40, and EMA80.
It alerts you both when a PO is confirmed and when it breaks down, allowing you to capture the beginning and the end of a trend.
The script also calculates PO strength (based on EMA divergence) and supports multi‑timeframe (MTF) analysis.
This indicator is designed for traders who want to track trend momentum and identify early signs of trend reversal.
🔧 Features
• Displays EMA10/20/40/80 with color coding (black, red, orange, blue)
• Detects Bull and Bear Perfect Order conditions
• Shows arrows (▲/▼) when PO is confirmed
• Detects PO breakdown and displays a signal
• Displays PO strength as a percentage (EMA10 vs EMA80 divergence)
• Supports MTF PO detection and strength display
• Includes alert conditions:
• Bull PO confirmed
• Bear PO confirmed
• Bull PO breakdown
• Bear PO breakdown
• Clean white background for better visibility
📈 What is a Perfect Order?
• Bull PO (Uptrend): EMA10 > EMA20 > EMA40 > EMA80
• Bear PO (Downtrend): EMA10 < EMA20 < EMA40 < EMA80
Alerts are triggered both when the PO is newly confirmed and when it breaks.
🧠 Use Cases
• Measure trend momentum using PO strength
• Confirm alignment with higher timeframe trends
• Use as a trend‑following filter
• Detect early signs of trend reversal using PO breakdown
• Improve accuracy by combining MTF and PO logic






















