Student Wyckoff Effort Result Time **STUDENT WYCKOFF Effort vs Result**
This tool measures how *hard* the market is working on every bar and compares the current effort with the previous one. It is built in the spirit of Wyckoff: first we look at the effort (volume), then at the result (price progress), and only after that compare them.
---
### Calculation (logic in simple terms)
For each bar the script:
1. Takes an **ERT window (N bars)** – by default 2 bars:
* **Effort (E)** = sum of volume over the last N bars.
* **Time (T)** = number of bars in the window = N.
* **Result (R)** = absolute % price change from the first bar in the window to the last bar.
2. Computes **ERT** as the “effort per unit of result”:
* More volume and smaller price move → higher ERT (movement is heavy).
* Less volume and bigger price move → lower ERT (movement is easy).
3. Plots a **histogram of ΔERT** – the difference between the current ERT and the previous ERT:
* **Red bar above 0** – current ERT > previous ERT →
*the last N bars were heavier than the previous N bars*.
* **Teal bar below 0** – current ERT < previous ERT →
*the last N bars were easier than the previous N bars*.
4. Optional **normalization window** rescales ΔERT over the last M bars, so extreme spikes do not destroy the readability of the whole histogram. It does not change the logic, only the visual scale.
---
### How to use
* Look for **clusters of high red bars** – segments where price needs noticeably more effort than before to make progress. On up-moves this often appears before slowing, churning or topping; on down-moves it often appears near potential stopping zones.
* Look for **deep teal bars** – segments where price moves easier than before. On rallies this can confirm a strong trend; on declines it can confirm strong selling pressure.
* Divergences between price and the pattern of heavy/light ΔERT can highlight zones where the balance between effort and result is shifting.
Inputs:
* **ERT window (bars)** – how many bars are used to measure effort and result (N).
* **Normalize ΔERT for readability** – on/off for visual normalization.
* **Normalization window (bars)** – how many last bars are used to adapt the scale.
* Colors for “current ERT heavier than previous” and “current ERT lighter than previous”.
อินดิเคเตอร์และกลยุทธ์
Volume Analysis🙏🏻 (signed) Volume Analysis is 2 of 2 structural layer / ordeflow analysis scripts, while the first one is Liquidity Analysis. Both are independent so can’t be released together as a single script, but should be used together.
The same math used in this script can be applied to other types of aggressive volume data: non-aggregated flow of market orders, volume traded of put vs call options.
There’s no universal agreement about terminology, but this script works with volumes signed by the aggressor who initiated a transaction. Then these volumes get aggregated by time and a cumulative sum is calculated. Mostly this is widely known as Cumulative Volume Delta.
However this script works with 'inferred' volumes vs the provided ones. It’s the better choice for equities, bonds; neutral choice for currencies; and suboptimal choice for natural and artificial commodities.
Contents:
Output description;
How to analyze & use the outputs;
How to use it together with Liquidity Analysis script;
How did I use both scripts to finish The Leap profitably and skipped many losses.
1. Output description
Color of the CVD line reflects (signed) volume imbalance state: red is negative, purple is neutral, blue is positive.
3 purple lines are lower deviation (lower band), basis (middle band), upper deviation (upper band): used to generate signals by a ruleset that would be explained in a minute
Gray number in the script’s status line is the advised input you may put into Inferred volume multiplier in script’s setting, I will explain it
Vertical dash line marks the moving window end, this way you can be certain over what exact data you see the profile was built.
2. How to analyze & use the outputs
Setup up the script:
Moving window length: set it to ~ ¼ of your data analysis window. E.g if you see on your charts and use ~ 256 bars, set the length to 64.
Inferred volume multiplier: you can easily leave it 256, this is not a critical factor for the math, it’s mostly there if you want to ~ equate inferred volumes with real ones in scale. For this, use the gray number in the script status line, it’s calculated as ratio of long term real volumes weighted avg to long term inferred volumes weighted avg.
Again, changing the inferred volume multiplier won’t affect the math.
Use 2 timeframes: main one and a far lower one 3 steps down, just like on the screenshot.
Find out current volume imbalance state:
As mentioned before, based on CVD line color, it can be negative, neutral or positive. This is the state variable that changes slowly and denies/confirms the signals generated by crossovers of CVD line and 3 purple thresholds.
For this I use my own very fast and lightweight metric that is totally statistically grounded, utilizes temporal information, and calculates volume imbalance without using heavy math like regressions as it’s usually done. It also provides a natural neutral zone, when volume imbalance is not strong enough to be confirmed.
...
CVD-based signals:
First you need to understand what precisely a touch of a threshold is:
Touch: an event when either of these 2 happens:
One CVD datapoint is above the threshold, and the next CVD datapoint is below the threshold
One CVD datapoint is below the threshold, and the next CVD datapoint is above the threshold
These are usually called crossovers/crossunders.
Now with the 3 purple thresholds we follow this logic:
Monitor the last touched threshold;
Once another threshold is touched, here we may generate a signal but only once !, after the first generated signal at that threshold we can’t generate more signals on this threshold, we need to wait when CVD comes to another threshold.
If CVD touches one threshold, and then goes down and touches another threshold downwards, we wait when CVD makes a datapoint above this threshold. When it happens, we register a long signal
If CVD touches one threshold, and then goes up and touches another threshold upwards, we wait when CVD makes a datapoint below this threshold. When it happens, we register a short signal
However, don’t open new trades against the current volume imbalance state. So don’t open shorts when the CDV line is blue, and don’t open longs when CVD line is red.
Btw, this technique I call it “reclaim” of a level/threshold. It can be applied to horizontal levels, and it’s very powerful especially when you fade levels on very volatility assets like BTC. This technique allows you to Not fade a level straight away, but wait when price goes past the level a bit, and then comes back and reclaims it, only there you enter, and moreover you now have a very well defined risk point.
The last part is multi-timeframe logic. Prefer to act when a lower timeframe is Not against the main timeframe. That’s all, no multiple higher timeframes are needed.
3. How to use it together with Liquidity Analysis script.
That script also has a mean to generate its own signals, and another state variable called Liquidity Imbalance.
So now you’re not only looking at volume imbalance but also at liquidity imbalance that would deny/confirm the CVD based signal. You need at least one of these two to favor your long or short.
This is the same logic widely used in HFT, where MM bots cancel/shift/resize orders when book is too onesided And ordeflow is one sided as well.
4. How did I use both scripts to finish The Leap profitably and skipped many losses.
Even tho you can use structural information as your main strategic layer, as many so-called orderflow traders do, I traded in objective style: my fade signals were volatility based in essence, and I used ordeflow for better entries and stops, but most importantly to skip losses.
When ‘both‘ liquidity imbalance and volume imbalance (in their main timeframes) were against my trades, I skipped them all, saving many ~$500 stop losses (that was my basis risk unit for the Leap). Unless I had a very strong objective signal, i.e. confluence of several signals, or just one higher timeframe signal, I did all these skips.
I traded ~ intraweek timeframe, so I was analyzing either the last 230 30min bars or 1380 5min bars. Both Liquidity Analysis and (signed) Volume Analysis scripts were set to moving window length 46 or 276 for either granularity.
I finished the leap with 9% profit and max DD ~ 5%, a bit short of my goal of 12.5%. If not these 2 scripts I would’ve finished a bit above breakeven I think.
,,,
Another thing, I made these 2 scripts invite-only because they are made particularly for trading, particularly for certain types of market data. These are tools adapted for particular use case, not like my other posts with general math entities like Kernel Density Estimation or Kalman filter, that you can take and apply properly on any data you need yourself.
However these are made from general math entities like everything else. ‘All’ the components are available in my other scripts, ideas, and other sources related to me. If you want to reverse-engineer these, you can find all the components you need in my already posted open source work.
∞
Market Structure Pivots with BOS & CHoCH [zazenio]What is Market Structure?
Market structure is simply the pattern of highs and lows that price creates as it moves. When you look at any chart, you'll notice price doesn't move in a straight line — it swings up, pulls back, swings up again (in an uptrend), or the opposite in a downtrend.
These swing points — the peaks and valleys — are what traders call pivots . Identifying them correctly is the foundation of understanding where a market has been and where it might go next.
What This Indicator Does
Swing Pivots automatically marks these peaks and valleys on your chart so you don't have to draw them manually. It works on any market — stocks, crypto, forex, futures, indices — and on any timeframe.
Beyond just marking pivots, this indicator also draws BOS (Break of Structure) and CHoCH (Change of Character) lines — two essential concepts that help you understand when a trend is continuing or potentially reversing.
How Pivots Are Detected
This indicator confirms pivots based on price structure, not a fixed bar count.
Here's how it works:
A swing high is confirmed when price breaks below the previous swing low. At that moment, we know the high was real — price tried to go higher, failed, and reversed. The market "proved" that level was a genuine turning point.
A swing low is confirmed when price breaks above the previous swing high. The same logic applies — price tried to go lower, failed, and reversed direction.
This creates a natural alternation: high, low, high, low. Each pivot is validated by the market's actual behavior, not by waiting for an arbitrary number of bars to pass.
Understanding BOS and CHoCH
Once you can identify pivots, the next step is understanding what happens when price breaks through them. This is where BOS and CHoCH come in.
BOS (Break of Structure)
A Break of Structure occurs when price continues in the direction of the current trend by breaking a previous pivot level.
In an uptrend : Price breaks above a previous swing high → This signals strength. Buyers are pushing price to new highs, and the trend is likely to continue.
In a downtrend : Price breaks below a previous swing low → This signals weakness. Sellers are pushing price to new lows, and the trend is likely to continue.
Think of BOS as the market saying "the trend is still intact." Each BOS confirms that the dominant side (buyers or sellers) remains in control.
CHoCH (Change of Character)
A Change of Character occurs when price breaks a pivot level in the opposite direction of the current trend. This is an early warning signal that the trend may be reversing.
In an uptrend : Price breaks below a previous swing low → This is unexpected. In a healthy uptrend, lows should hold. When they don't, it suggests buyers are losing control and sellers may be taking over.
In a downtrend : Price breaks above a previous swing high → This is unexpected. In a healthy downtrend, highs should hold. When they don't, it suggests sellers are losing control and buyers may be stepping in.
Think of CHoCH as the market's behavior "changing character" — it's no longer acting the way it should if the trend were healthy.
Why BOS and CHoCH Matter
These concepts give you a framework for reading what the market is actually doing:
BOS tells you the trend is continuing — stay with it or look for entries in that direction
CHoCH warns you the trend may be ending — time to be cautious, take profits, or look for trades in the new direction
By visualizing these breaks directly on your chart, you don't have to guess. You can see at a glance whether the market is trending smoothly (consecutive BOS) or showing signs of reversal (CHoCH).
Why This Approach Works
Most pivot indicators use a "lookback" method — they wait for a certain number of bars (say, 5 or 10) on each side of a candle before confirming it as a pivot. This creates a fixed delay. By the time the pivot appears on your chart, price has already moved on.
This indicator doesn't wait. It confirms pivots the moment price structure proves them. The result is pivots that align with how traders actually read charts — based on breaks of structure, not arbitrary countdowns.
Settings
Configuration
Swing Width : Controls how sensitive the detection is. Higher numbers show only major swings; lower numbers capture smaller moves within the structure.
Pivot Settings
High/Low Color : Customize the colors of swing high and swing low markers
Style : Choose between Triangle or Circle markers
Size : Adjust the size of pivot markers (Auto, Tiny, Small, Normal)
Structure Lines
Show CHoCH : Toggle Change of Character lines on/off
CHoCH Color : Customize the color of CHoCH lines
CHoCH Label : Show/hide the "CHoCH" text label
Show BOS : Toggle Break of Structure lines on/off
BOS Color : Customize the color of BOS lines
BOS Label : Show/hide the "BOS" text label
Use Cases
See the "skeleton" of price action at a glance
Identify potential support and resistance levels
Understand if the market is trending or ranging
Spot trend continuations with BOS lines
Catch early reversal signals with CHoCH lines
Build a foundation for more advanced trading strategies
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Version History
v1.1
Added BOS (Break of Structure) lines to visualize trend continuation
Added CHoCH (Change of Character) lines to identify potential trend reversals
Added toggle options for BOS and CHoCH visibility
Added customizable colors for structure lines
Added optional labels for BOS and CHoCH
v1.0
Initial release
Automatic swing high and swing low detection
Structure-based pivot confirmation (not fixed lookback)
Customizable pivot markers (style, size, colors)
Adjustable swing width sensitivity
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Disclaimer:
This script is provided for educational and informational purposes only. It is not financial advice and does not constitute a recommendation to buy or sell any financial instrument. Always do your own research and trade at your own risk.
STEFAN TEAM LogoSTEFAN TEAM Logo.
"On-Screen Logo for TradingView – A Sharp Brand Accent"
This template is specifically designed for seamless integration into digital spaces: streams, video lessons, presentations, and webinars about trading. The logo maintains perfect readability and a professional appearance on any background—overlaid on charts, in a screen corner, or on an intro screen.
Why this template is an excellent choice:
Optimized for screen: High contrast and clean outlines ensure visibility even at small sizes.
Universal placement: Looks perfect overlaid on the TradingView interface without obscuring key data (candles, indicators, quotes).
Professional signal: Makes your broadcast or video recognizable and strengthens audience trust.
Perfect for: trading streamers, educational course authors, financial analysts, and content creators on YouTube and Twitch.
Goldfishyes I love Fortnite yes I love Fortnite yes I love Fortnite yes I love Fortnite yes I love Fortnite yes I love Fortnite yes I love Fortnite yes I love Fortnite yes I love Fortnite yes I love Fortnite yes I love Fortnite yes I love Fortnite yes I love Fortnite yes I love Fortnite yes I love Fortnite
VSA Visual RenkoWith this script you will be able to identify absorption, exhaustion, and a possible end of movement.
Goldfishuse these levels with context sfhkuhuahdhaskdhaskdshadhaskjdhasjkdhasjkdhaskdhasdhaskjdhaskjdhsakjdhasjkdhaskjdhsakjdhsahdaskhdsakdhasjkhdsajkhdaskhdsakjhdsakjhdasjkdhsajkdhsakjdhsakjdhsakdhsakhdsakdhsakdhaskjdhsakjdhsakdjhsakjdhsakjdhsakjdhsajk
(SM3) Volume Profile Tool-kitCore Concept
This indicator is a right-aligned fixed-range Volume Profile + SMT-style tools:
Volume Profile
Shows volume distribution over a fixed lookback window
Bars are colored by volume delta:
Teal = buyers (bullish volume ≥ bearish volume)
Fuchsia = sellers (bearish volume > bullish volume)
POC: highest volume price level
Value Area: price region containing X% of total volume (default 68%)
Liquidity Sweeps
Marks Buy-side Liquidity Sweeps (BSL) and Sell-side Liquidity Sweeps (SSL) based on pivot highs/lows
PDH/PDL Liquidity Boxes
Previous Day High (PDH) zone = red box
Previous Day Low (PDL) zone = green box
Based on the prior full calendar day’s high/low
Boxes extend across the current day only, adjusting bar by barCore Concept
This indicator is a right-aligned fixed-range Volume Profile + SMT-style tools:
Volume Profile
Shows volume distribution over a fixed lookback window
Bars are colored by volume delta:
Teal = buyers (bullish volume ≥ bearish volume)
Fuchsia = sellers (bearish volume > bullish volume)
POC: highest volume price level
Value Area: price region containing X% of total volume (default 68%)
Liquidity Sweeps
Marks Buy-side Liquidity Sweeps (BSL) and Sell-side Liquidity Sweeps (SSL) based on pivot highs/lows
PDH/PDL Liquidity Boxes
Previous Day High (PDH) zone = red box
Previous Day Low (PDL) zone = green box
Based on the prior full calendar day’s high/low
Boxes extend across the current day only, adjusting bar by barCore Concept
This indicator is a right-aligned fixed-range Volume Profile + SMT-style tools:
Volume Profile
Shows volume distribution over a fixed lookback window
Bars are colored by volume delta:
Teal = buyers (bullish volume ≥ bearish volume)
Fuchsia = sellers (bearish volume > bullish volume)
POC: highest volume price level
Value Area: price region containing X% of total volume (default 68%)
Liquidity Sweeps
Marks Buy-side Liquidity Sweeps (BSL) and Sell-side Liquidity Sweeps (SSL) based on pivot highs/lows
PDH/PDL Liquidity Boxes
Previous Day High (PDH) zone = red box
Previous Day Low (PDL) zone = green box
Based on the prior full calendar day’s high/low
Boxes extend across the current day only, adjusting bar by bar
Worstfx Fractal Sessions 🧩 Worstfx Fractal Sessions Public — Features & Purpose
✔️ Includes clean session structure • Simple confluence • Built-in guardrails for your psychology
Worstfx Fractal Sessions Public is a stripped-back, clean version of the full Worstfx framework.
It’s designed to give every trader the core advantages of the fractal system:
• clear session structure
• simple trend/confluence read
• context from Daily ATR
• basic order-flow sentiment
• an on-chart help panel so nobody gets lost
All without overwhelming settings or “indicator soup.”
Use it to see the day as a story: Asia range → London expansion → Pre-NY setup → NY confirmation or reversal.
⸻
⚙️ Main Features
1️⃣ Session Shading (Asia / London / Pre NY / NY)
What it does
• Colors each session with soft, transparent shading:
• Asia – yellow tone
• London – purple tone
• Pre NY – light blue
• NY – light blue (separate time block)
• You can customize the session times and colors.
• Includes a 6:00 pm ET divider line to mark the start of a new “trading day” in your framework.
Why it matters (psychology)
• Your brain stops seeing random candles and starts seeing chapters:
• Asia = range / setup
• London = expansion / fakeouts
• NY = continuation / reversal
• This reduces FOMO and impulsive entries because you naturally ask:
“Which session am I in?”
“What is this session supposed to be doing?”
• The 6pm divider helps you mentally reset each day instead of carrying emotional baggage from yesterday into today.
⸻
2️⃣ Time-Frame Confluence Panel (Weekly → 15m)
What it does
• Checks a simple model on multiple timeframes (W, D, 4H, 1H, 15m):
• Above or below the 50 EMA
• RSI above or below 50
• Converts that into a 0–100% confluence score per TF.
• Gives a %TOTAL score that blends all TFs into a single number.
• Two display modes:
• Strip — horizontal bar with W/D/4H/1H/15m + %TOTAL
• Table — vertical list showing bull% / bear% per TF
• Mobile mode shrinks everything for smaller screens.
Why it matters (psychology)
• Instead of arguing with yourself about “trend,” you get a simple question:
“Are the higher timeframes mostly aligned or mixed?”
• Green/high %TOTAL = “permission” to press your bias, not to over-trade.
• Red/low %TOTAL = natural brake: “This is not the clean trend day. Size down or stay out.”
• It pulls you away from 1-minute tunnel vision and forces you to respect bigger structure.
⸻
3️⃣ Daily ATR Panel (Last 4–12 days + Forecast)
What it does
• Tracks true daily range (High–Low) over recent days.
• Shows:
• Last few days’ range in ticks and $
• Optional 4-day average forecast (projected typical daily move)
• Option to show just last 4 days, or full 12-day history.
• Two modes:
• Table – labeled rows with “ticks / $” columns
• Macro – compact text summary like “FC: 2000t | $20.00”
Why it matters (psychology)
• You stop expecting 5000-tick moves on a 600-tick average day.
• When the forecast is small, you naturally:
• avoid chasing huge targets
• respect partials
• recognize “maybe today just isn’t the big runner”
• On big ATR days, you recognize that volatility is here, so:
• you give your targets breathing room
• you’re less likely to panic when price swings
• This keeps your expectations in line with reality, which reduces tilt, frustration, and revenge trades.
⸻
4️⃣ Order-Flow Sentiment Panel (Compact OF Read)
What it does
• Estimates buy vs sell volume on the current and previous candles.
• Shows:
• Sentiment row with Buy% / Sell%
• Buy/Sell volumes (with “k/m” formatting if enabled)
• Optional extra rows for prior candles.
• Highlights imbalances when one side hits your imbalance threshold (e.g., 70%).
Why it matters (psychology)
• Gives you a quick “who’s in control right now” view without staring at raw volume.
• Imbalance flashes create micro-alerts:
• “This might be a stop run or strong continuation, pay attention.”
• Prevents you from blindly shorting into heavy buy pressure or buying into stacked sell pressure just because of greed or fear.
• Makes your entries feel more validated, which calms you during the trade.
⸻
🧠 Overall Psychological Goal
Worstfx Fractal Sessions Public is not just a visual skin for your charts.
It’s a behavior framework.
It tries to quietly enforce:
• Patience → by tying you to sessions and key time behavior.
• Selectivity → by checking multi-TF trend alignment.
• Realistic expectations → via ATR context.
• Non-impulsive entries → via order-flow imbalance checks.
• Accountability → via clear explanations and structure, not vibes.
Instead of chasing every move, you’re guided into a loop:
“What session am I in? What is ATR saying? Are TFs aligned? Is order-flow confirming? If not, I wait.”
🔋 The risk is minimized by structure & The reward is maximized by timing🔋
Pythia Compass v 33.1Pythia Compass — Market Energy Direction
Pythia Compass is a minimalist edition of the Pythia project, designed for traders who want a clear and fast view of the market’s internal energy direction.
Despite its simple visual design, Compass runs on the same core algorithmic engine used in the advanced Pythia versions.
It merges the system’s structural and energy signals into a compact visual output:
a vertical market-energy direction scale
a forecast-quality HUD
configurable strength thresholds
early detection of energy shifts before price reacts
Compass does not display Pythia’s full graphical markup — only the final directional energy result, computed from the complete internal signal set.
You can use Pythia Compass:
as a standalone indicator for assessing strength and directional bias
as a filter for any trading strategy
as a lightweight companion to the full Pythia versions
Pythia Compass — simple on the surface, powerful underneath.
Built as an accessible entry point into the Sael Lab ecosystem and the Pythia algorithm family.
Swing Pivots - Market Structure High Low [zazenio]What is Market Structure?
Market structure is simply the pattern of highs and lows that price creates as it moves. When you look at any chart, you'll notice price doesn't move in a straight line — it swings up, pulls back, swings up again (in an uptrend), or the opposite in a downtrend.
These swing points — the peaks and valleys — are what traders call pivots. Identifying them correctly is the foundation of understanding where a market has been and where it might go next.
What This Indicator Does
Swing Pivots automatically marks these peaks and valleys on your chart so you don't have to draw them manually. It works on any market — stocks, crypto, forex, futures, indices — and on any timeframe.
How Pivots Are Detected
This indicator confirms pivots based on price structure, not a fixed bar count.
Here's how it works:
A swing high is confirmed when price breaks below the previous swing low. At that moment, we know the high was real — price tried to go higher, failed, and reversed. The market "proved" that level was a genuine turning point.
A swing low is confirmed when price breaks above the previous swing high. The same logic applies — price tried to go lower, failed, and reversed direction.
This creates a natural alternation: high, low, high, low. Each pivot is validated by the market's actual behavior, not by waiting for an arbitrary number of bars to pass.
Why This Matters
Most pivot indicators use a "lookback" method — they wait for a certain number of bars (say, 5 or 10) on each side of a candle before confirming it as a pivot. This creates a fixed delay. By the time the pivot appears on your chart, price has already moved on.
This indicator doesn't wait. It confirms pivots the moment price structure proves them. The result is pivots that align with how traders actually read charts — based on breaks of structure, not arbitrary countdowns.
Settings
Swing Width: Controls how sensitive the detection is. Higher numbers show only major swings; lower numbers capture smaller moves within the structure.
Style/Size/Colors: Customize how the pivot markers look on your chart.
Use Cases
See the "skeleton" of price action at a glance
Identify potential support and resistance levels
Understand if the market is trending or ranging
Build a foundation for more advanced concepts like Break of Structure (BOS) and Change of Character (CHoCH)
⸻
Disclaimer:
This script is provided for educational and informational purposes only. It is not financial advice and does not constitute a recommendation to buy or sell any financial instrument. Always do your own research and trade at your own risk.
Aman-Setup -3.0Aman-Setup-3.0 is an intraday breakout indicator for the 3-minute chart.
A Breakout Candle forms when all OHLC values move above both the Previous Day Reference Level (Prev Close if bullish, Prev Open if bearish) and the First 15-Minute High.
An Entry Candle is any candle after the breakout where Close > Breakout High.
The indicator auto-plots Stop-Loss (below Breakout Low) and a 1:1 Target, and marks Breakout, Entry, SL, and Target Hit on the chart.
Worstfx Key Time Windows + 5 Day Journal🕒 Key Time Windows — Features & Purpose
✔️ Includes 6 Major Time Windows:
• 7:45 PM (Asia Open Overview)
• 12:00 AM (Daily Reset Liquidity Shift)
• 2:00 AM (London Accumulation / Manipulation)
• 7:00 AM (Pre-NY / Expansion Setup)
• 10:00 AM (NY Reversal Window)
• 2:00 PM (NY Power Move / Final Push) ← added
These windows are not random — they are the exact points in the day where:
• Liquidity resets
• Volatility compresses or expands
• Session trends form or reverse
• Market makers reposition
• High-probability setups appear
The panel shows:
➤ INSIDE
You are currently in the window.
Expect movement, structure breaks, or trap/reversal behavior.
➤ NEAR
Approaching a key window.
Prepare, observe order flow, plan entries.
➤ FAR
Out of the actionable range.
Ideal for reducing screen time and avoiding emotional trades.
➤ IDLE
The window passed.
High-probability moment is over — walk away or wait for the next one.
⚡ Why this matters
Most blown accounts come from trading outside high-probability times.
Your edge comes from timing, not randomness.
This panel keeps your brain aligned with the correct moments — not boredom, FOMO, or impulse.
📊 5-Day Performance Journal — Features
✔️ Enter daily P/L manually
• Monday → Friday
• Accepts positive or negative values
• Example: +2500, -300, 0
✔️ Auto-Calculated Weekly Total
• Shown right next to Friday
• Colored based on profit or loss
• Light highlight tint to stand out without distractions
✔️ Two Clean Layouts
• Vertical → For corner placement
• Horizontal → For header-like week summaries
✔️ Psychology Through Design
• Green = rewarded discipline
• Red = consequence of breaking plan
• White-dim = zero day → neutral, no shame, no heat
The goal is not the number —
It’s accountability, awareness, and emotional grounding.
🧠Consistency Over Drama
The weekly total next to Friday forces your brain to think in weeks, not minutes.
Bad day?
You stop early to protect weekly total.
Good day?
You don’t overtrade because the number is already green.
This shifts your psychology from:
“I need to win right now.”
to:
“I need to preserve my weekly edge.
🔋To unlock the full power of the framework, run this together with Worstfx Fractal Sessions🔋
Trend Fibo 1.618This indicator is based on the Muslim strategy. I recommend studying it first and also working on a demo account.
Trading Playbook Panel (SMC + EW + Sniper)🔥 What This Script Does
The indicator creates a visual floating panel containing:
1. HTF Bias Framework (H4 → H1 → M15)
Guides you through determining trend, liquidity direction, imbalance zones, and institutional order flow.
2. Valid Setup Models
Covers both:
Continuation setups (displacement → OTE → FVG entry)
Reversal setups (liquidity sweep → CHoCH → retest)
3. 5-Minute Sniper Entry Checklist
Ensures high-precision entries with:
Liquidity sweep
CHoCH
Displacement
FVG formation
Retest entry
Strict invalidation rules
This is the exact logic used in prop-firm and institutional trading models.
4. Stop-Loss & Invalidation Rules
Built with institutional logic:
SL beyond liquidity sweep
SL beyond invalidation swing
Works for both BUY and SELL setups.
5. Multi-Stage Take Profit Mapping
Including:
Internal liquidity
Equal highs/lows
Imbalance
Opposite OB
HTF draw
Designed for partials + runners.
6. Risk-Management System
A complete discipline structure:
0.5–2% risk per setup
Max daily loss
Max trades per day
Stop-after-loss rule
No chasing / no mid-range entries
7. Pre-Trade Checklist
A professional assessment framework to verify trade quality.
8. Trading Psychology Principles
Reinforces mindset, discipline, and patience.
⭐ Who This Script Is For
This tool is ideal for:
SMC traders
ICT style traders
Elliott Wave traders
Scalpers & intraday traders
Prop-firm challengers
Anyone wanting to follow a repeatable, rules-based system
It keeps you consistent, structured, and focused on the highest-probability setups.
🧠 Why This Script Works
Most traders lose because they:
Enter impulsively
Skip rules
Don’t analyze multi-timeframe structure
Enter without liquidity confirmation
Use random entry zones
This script eliminates that.
It forces a clear, step-by-step process:
1️⃣ Top-down bias
2️⃣ Liquidity location
3️⃣ Sweep → CHoCH → Displacement
4️⃣ Refined 5M entry
5️⃣ Strict SL & TP rules
It removes emotion and replaces it with pure process.
⚙️ Customizable
Move the panel anywhere on the chart
Change panel colors
Change text colors
Perfect for dark or light mode
🎯 Summary
This is not a trading signal indicator.
This is your rulebook, your discipline engine, and your playbook — right on your chart.
It keeps you aligned with the highest-probability setups used by advanced SMC and EW traders.
Use it before every trade.
Trade like a professional — every day.
AI Swing Master by Pooja🌟 AI Swing Master by Pooja — Multi-EMA Trend Intelligence Suite
AI Swing Master is a refined swing-trend engine built to highlight structural trend alignment, momentum transitions, and higher-timeframe confluence — all within a clean and minimal interface.
This tool is designed for traders who want clarity, structure, and disciplined trend interpretation without clutter.
⚡ Core Highlights
🔵 SB — Strong Buy
Triggers on meaningful bullish momentum shifts when major EMAs cross in favor of the trend.
• Non-repetitive
• Clean and decisive
• Highlights momentum transitions
🔴 SS — Strong Sell
Identifies bearish momentum shifts through downside EMA transitions.
• Useful for trend reversals
• Helps avoid late entries
• Zero duplicate signals
🟡 GB — Golden Buy (First Structural Alignment)
Appears the first time this structure forms:
EMA 50 ≥ EMA 100 ≥ EMA 200
This highlights a clean, long-term bullish structure.
• One-time structural confirmation
• Ideal for swing & positional traders
• High-signal quality, low noise
📊 Triple-EMA Trend Framework (50/100/200)
The script plots three institutional-grade EMAs:
EMA 50 → Short-term momentum
EMA 100 → Medium-term flow
EMA 200 → Long-term trend foundation
This layered structure gives a clear view of:
✔ Trend health
✔ Pullbacks vs reversals
✔ Momentum expansion or compression
🧭 MTF Trend Dashboard (Premium TV-Style Panel)
A compact, elegant dashboard showing trend direction + % performance for:
TF Trend Performance
4H 📈/📉/➖ %
1D 📈/📉/➖ %
1W 📈/📉/➖ %
1M 📈/📉/➖ %
3M 📈/📉/➖ %
6M 📈/📉/➖ %
1Y 📈/📉/➖ %
Trend icons:
📈 Bull
📉 Bear
➖ Side
Perfect for quick bias confirmation without switching timeframes.
🛠️ Alerts Included (Ready for Automation)
Use alert conditions for:
SB – Strong Buy
SS – Strong Sell
GB – Golden Buy
Fully compatible with:
✔ Push notifications
✔ Email alerts
✔ Webhooks (where allowed)
🎯 Best For
This indicator works beautifully for:
Swing traders
Positional trend riders
Intraday traders using HTF confluence
Option traders needing directional bias
Trend-following systems
It does not predict price — it visualizes trend structure to support disciplined decision-making.
⚠️ Disclaimer
This tool is for technical analysis only.
It does not offer financial advice, does not guarantee outcomes, and should not be used as a sole decision source.
All trading decisions are your own responsibility.
🔐 ACCESS
This version is an Invite-Only Script.
Access is granted manually.
🛡 Support
This is an invite-only indicator.
Approved users may contact the author via the “Author’s Instructions” section on TradingView for help or usage guidance.
Aman-setup-1.0Aman Setup identifies bullish intraday breakouts on the 3-minute chart.
A breakout occurs when price closes above the Previous Day Reference Level (Prev Close if bullish, Prev Open if bearish) and the First 15-Minute High.
The Entry Candle forms when its OHLC are all above both levels.
Includes automatic Stop-Loss (below breakout low) and 1:1 Target, along with visual signals for Breakout, Entry, SL, and Target Hit.
Fractal Dimension (Katz, Quant Lab)This indicator estimates the Katz Fractal Dimension of the price series over a rolling window.
It computes:
• L = sum of absolute price changes within the window
• d = maximum distance between any point and the first point in the window
• n = window length
Then applies Katz’s formula:
FDI = ln(n) / (ln(n) + ln(d / L))
The resulting Fractal Dimension typically lies between 1.0 and 2.0:
• FDI ≈ 1.0–1.3 → Strong, directional trend (low randomness)
• FDI ≈ 1.3–1.5 → Mixed / transitional behavior
• FDI ≈ 1.5–2.0 → Noisy, choppy, mean-reverting / range market
Entry Scanner Conservative Option AKeeping it simple,
Trend,
RSI,
Stoch RSI,
MACD, checked.
Do not have entry where there is noise on selection, look for cluster of same entry signals.
If you can show enough discipline, you will be profitable.
CT
Variance Ratio & Efficiency Ratio (Quant Lab)1️⃣ Variance Ratio (VR)
Formula:
VR ≈ Var(q-step returns) / (q × Var(1-step returns))
Interpretation:
• VR ≈ 1 → The market is like a random walk; neither trend nor mean-reversion is dominant.
• VR > 1 → Trend behavior is dominant.
• Trend-following systems (EMA, Supertrend, breakout) work better.
• VR < 1 → Mean-reversion is dominant.
• Range/reversal strategies (Z-score, Bollinger fade, RSI reversal) work better.
In short:
• VR > 1 → Trending market
• VR < 1 → Mean-reverting market
This tells you:
“Should I build a trend system or a mean-reversion system for this instrument?”
⸻
2️⃣ Efficiency Ratio (ER)
Formula logic:
ER = |Close_now – Close_n-bars-ago| / Σ|Close_i – Close_{i+1}|
In other words:
• Numerator → Net movement over N bars
• Denominator → Total noise over N bars
Interpretation:
• ER ≈ 1 → The price has moved in almost a straight line in one direction.
→ The trend is very efficient, noise is low.
• ER ≈ 0 → The price has fluctuated a lot but hasn't gone anywhere definitively.
→ A complete noise/range market.
This tells you:
“How clear is the trend in this last N bars, and how much noise is there?”
⸻
🔥 The intelligence provided by both together:
• VR > 1 and ER is high (0.6–1.0) →
➜ Strong, high-quality trend. Golden age for trend-following.
• VR > 1 but ER is low (0.2–0.4) →
➜ Trend exists but there is a lot of noise, many fake movements. • VR < 1 and ER is low →
➜ Net range / sideways market. Ideal for mean-reversion.
Aman-setupAman-Harman Setup identifies bullish intraday breakouts on the 3-minute chart.
A breakout occurs when price closes above the Previous Day Reference Level (Prev Close if bullish, Prev Open if bearish) and the First 15-Minute High.
The Entry Candle forms when its OHLC are all above both levels.
Includes automatic Stop-Loss (below breakout low) and 1:1 Target, along with visual signals for Breakout, Entry, SL, and Target Hit.
Rolling Z-Score (Quant Lab)What does this Z-Score measure?
• src (default = close) → the value of the series you selected
• len → the window you are measuring based on the average of the last few bars
• Z ≈ 0 → price close to the average
• Z > 2 → price 2 standard deviations above the average (extremely positive deviation)
• Z < -2 → 2 standard deviations below the average (extremely negative deviation)
In modern mean-reversion strategies:
• Z > +2 → short / take profit candidate
• Z < –2 → long / dip buy candidate
