Göstergeler ve stratejiler
Caja TavoStrategy based on "The Box" by Z and Scott
This strategy is based on measuring price volatility one hour before the market opens and half an hour after.
The trade is made in the direction that breaks the upper or lower limits.rior o inferior.
kamsakang Pivot Breakout OK. Not "the latest N highs" but **" based on the previous high (the most recently confirmed swing high) '**, I'll change it to catch the moment it crosses that value.
The key is to pivot high. (It took a few bongs to confirm "this was the high point" → This is the cleanest "pivot high point")
Liquidity Trap Strategy - ATR OptimizedLiquidity Trap Strategy – Optimized Version
1. Overview
The Liquidity Trap Strategy is a high-probability price action trading system designed to exploit “trapped buyers or sellers” around key levels from the previous trading day.
Markets: Works on any market (Forex, Crypto, Futures, Indices, Stocks)
Timeframes: Designed for 15-minute (15m) and 1-hour (1H) charts
Trading Style: “Hunter” style — trades may not happen every day, but setups are high-probability
Trade Frequency: Only first trade per day is taken for simplicity and high quality
2. Key Components
a) Daily Levels
Previous Day High (PDH) and Previous Day Low (PDL) are automatically calculated using the prior day’s bar.
These are drawn as anchored horizontal lines, extending to the current day.
PDH/PDL act as key support/resistance zones — areas where liquidity is often trapped.
b) Trap Concept
The strategy is based on the “liquidity trap” principle:
Buyer Trap (Short Entry):
Price breaks above the previous day high (PDH) → buyers think price will continue higher.
Price reverses immediately below PDH, trapping aggressive buyers above the key level.
This creates selling pressure, giving an opportunity to enter short.
Seller Trap (Long Entry):
Price breaks below the previous day low (PDL) → sellers think price will continue lower.
Price reverses immediately above PDL, trapping aggressive sellers below the key level.
This creates buying pressure, giving an opportunity to enter long.
The key idea: trapped traders cause the market to move in the opposite direction of the breakout, creating high-probability moves.
c) Trade Execution Logic
Buyer Trap / Short Entry:
Condition: high > PDH AND close < PDH AND no trade taken yet today
Entry: Short at the close of the trap candle
Stop Loss: ATR-based above the trap candle high to avoid minor wick stops
Take Profit: 2:1 Risk-to-Reward ratio
Seller Trap / Long Entry:
Condition: low < PDL AND close > PDL AND no trade taken yet today
Entry: Long at the close of the trap candle
Stop Loss: ATR-based below the trap candle low
Take Profit: 2:1 Risk-to-Reward ratio
Only the first trap trade of the day is allowed to avoid overtrading.
d) Risk Management
Stop-Loss (SL):
ATR-based to account for market volatility
Ensures the trade survives minor wick sweeps without being stopped out prematurely
Take-Profit (TP):
Fixed 2:1 R:R relative to SL
Ensures each winning trade outweighs potential losses
Trade Frequency:
Only first trade per day is allowed, making it highly selective and reducing noise
3. Visual Features
PDH/PDL Lines: Anchored to previous day, extend into current day, color-coded:
PDH → Green
PDL → Red
Trade Labels: Placed on the trap candle:
Short → Red label “Short”
Long → Green label “Long”
The visual markers make it easy to identify exactly where the trap occurred and the trade was triggered.
4. How the Strategy Works – Step by Step
Example for Short (Buyer Trap):
Market opens, PDH/PDL from yesterday are drawn.
Price spikes above PDH → some buyers enter expecting breakout continuation.
Price immediately closes back below PDH, trapping buyers.
The strategy enters short at the close of the reversal candle.
SL: placed above the trap candle using ATR to give room
TP: calculated as 2x the risk (distance from entry to SL)
Trade executes — first trade of the day. Any further trap signals today are ignored.
Example for Long (Seller Trap):
Price drops below PDL → some sellers enter.
Price immediately closes back above PDL, trapping sellers.
Strategy enters long at the close of the reversal candle.
SL: below trap candle using ATR
TP: 2:1 R:R
Trade executes — only first trade of the day.
5. Why This Strategy Works
Exploits liquidity zones: Markets often hunt stops above PDH or below PDL.
High-probability reversals: Trapped traders create strong counter moves.
ATR SL: avoids being stopped by minor market noise or wick spikes.
Selective trading: Only first trade per day → reduces overtrading and noise.
Clear visual markers: Makes manual observation and confirmation easy.
6. Key Tips for Traders
Best on high-volume instruments like Forex majors, indices, or crypto pairs with decent liquidity.
Works well on 15m and 1H charts — 15m allows quicker signals, 1H filters noise.
Avoid trading around major news releases — traps can behave differently during high volatility events.
Always backtest and use the ATR SL — never reduce SL too much, otherwise stops will trigger before the real move.
✅ Summary:
The Liquidity Trap Strategy identifies trapped buyers/sellers using previous day highs/lows.
It uses ATR-adapted stops and 2:1 R:R TP.
Only first trade per day is executed, reducing false signals.
Anchored PDH/PDL lines and labels make trade opportunities clear.
This system is low-frequency, high-probability, focusing on trading smart rather than frequently.
HL Zone + Vol Alert (Complete) + Vol Explosion Alertabc
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RTH Volume Candle DeltaOverview
This indicator is designed specifically for RTH (Regular Trading Hours) intraday traders who scalp the E-mini S&P 500 (ES), Nasdaq (NQ), and other high-liquidity futures. It solves a major flaw in time-based charts: the inability to see the "Speed of the Tape." By using a unique Transparency Heatmap, it simulates MotiveWave-style Constant Volume Bars while keeping your candles fixed to the time-based X-axis to maintain alignment with indicators like VWAP and EMAs.
The Power of RTH (Regular Trading Hours)
This script is optimized for the high-liquidity environment of the US Regular Session.
During RTH: The volume distribution is statistically significant, allowing the script to accurately identify institutional "sweeps."
During ETH (Overnight): Volume is often too thin for reliable delta analysis. I have included a "Hide Overnight" toggle to keep your chart clean and focused on the liquidity that matters.
Core Logic 1: Volume Partitioning (The Heatmap)
The script partitions volume into two visual states based on your target (Default: 1000V):
Normal Volume (< Target): These candles are dimmed (High Transparency). They represent background noise where the volume target has not yet been reached within that time slice.
Burst Volume (> Target): These candles become solid (Opaque). If a single 15s bar exceeds 1000V, it highlights a Velocity Peak—this is where institutional "Big Money" is actively consuming liquidity.
Core Logic 2: Effort-Based Delta (1s Precision)This is the "engine" of the script. Rather than using simple Close-Open delta, it fetches 1-second sub-bar data (the highest precision available without tick data) and applies an Effort vs. Result formula:$ SET:DELTA = Volume \times \frac{(Close - Low) - (High - Close)}{High - Low}$$Buyer Effort: $(Close - Low)$ — How effectively buyers lifted price from the floor before the close.Seller Effort: $(High - Close)$ — How effectively sellers pushed price down from the ceiling.Adaptive Light-Up: The candle "Lights Up" (White/Yellow) only when the Delta is 1.5x greater than the MA 20 of recent deltas. This filters out standard two-way trade and highlights aggressive initiative.
How to Trade with this Indicator
Spotting Absorption: If you see a Solid (Burst) candle with a small body and "Normal" color, a limit order "Wall" is likely absorbing the market orders.
Confirming the Drive: A Solid White/Yellow candle at a key level (VWAP, PDH, or Opening Range) is a high-probability signal that aggressive money is driving the breakout.
Multiplier Labels: The labels provide an "x Multiplier" (e.g., x4.2), telling you exactly how many 1000V rotations occurred within that single time-bar.
Final Recommendations for Users
ES (S&P 500): 1000V is the standard. On a 1m chart, set it to 4000V.
NQ (Nasdaq): 400V - 500V is recommended due to thinner liquidity.
Setup: For the best experience, hide the default TradingView candle bodies in your chart settings.
BINANCE 15m Alt Breakout Radar (TABLE)BINANCE 15m Alt Breakout Radar (TABLE)
"At the 15th installment of Binance Altcoin
Breaking High + Explosive Volume + Surging Stock
View at a glance with **indicator (table)**, not alarm"
Level to level Multi-TF + ATRLevel to level Multi-Timeframe + ATR/ADR Daily Progress
This indicator is a complete multi-timeframe market structure and volatility toolkit, designed primarily for active forex traders.
It combines Williams Fractals on five higher timeframes (Weekly, Daily, H4, H1, M5) with a live ATR/ADR dashboard, allowing you to see at a glance how much of the typical daily move has already been completed and how much “room” the market realistically has left to run.
Fractals are drawn as arrows and colored zones that clearly mark swing highs and lows, supply/demand pockets, and key reaction areas. These zones can be used as dynamic support/resistance, liquidity pools, and target/stop regions. The multi‑TF design lets you read higher‑timeframe structure while executing on lower timeframes, which is ideal for scalping and intraday trading.
The built‑in volatility table shows:
ATR Progress (%) with green / yellow / red status to indicate whether the current session is still developing, mature, or potentially exhausted.
Daily ATR & ADR values in pips, so you always know the typical and current range of the day.
Done / Left range, highlighting how many pips have already been travelled from low to high, and how many are statistically left.
ATR and ADR projection lines are also plotted from the daily open, giving you clear intraday reference levels for take profit, stop placement, and expected session extremes.
This tool works especially well when combined with Smart Money Concepts (SMC) such as:
Break of Structure (BOS) and Change of Character (CHoCH) using fractal highs/lows.
Liquidity grabs and stop hunts around fractal zones.
Order blocks and fair value gaps that overlap with higher‑TF fractals and ATR/ADR levels.
Use it on majors like EUR/USD, GBP/USD, XAU/USD or indices, on anything from fast M1–M5 scalping to H1–H4 swing trading. All colors, timeframes, sensitivities and volatility settings are fully customizable so you can adapt it to your own style and template.
Open Range BreakoutOpen Range Breakout is a volatility harvesting tool designed to exploit directional expansion following major market opens. It isolates price action during initial liquidity injections to project institutional-grade zones that define a session's structural bias.
Core Methodology
The script uses a time-anchored engine to map critical supply and demand boundaries:
Anchor Identification: The algorithm captures the absolute High and Low within a user-defined window at the start of Tokyo, London, or New York sessions.
Structural Projection: It generates a Neutrality Box. A breach via candle close signals the transition from consolidation to expansion.
Mathematical Risk Modeling: Upon breakout, it calculates a 3:1 Risk-Reward framework based on fixed percentage volatility.
Session Dynamics
The system is optimized for the global liquidity cycle:
Session 1 (Asia): Maps early-day consolidation and range-bound liquidity.
Session 2 (Europe): Captures the London Move to identify the trend.
Session 3 (US): Analyzes high-volume New York opens for maximum momentum.
Key Features
Dynamic Price Mitigation: TP/SL zones stop extending the moment price touches the target or invalidation level to keep charts clean.
Volatility-Adjusted Levels: Stop Loss parameters are normalized to price percentage for consistency across Indices, Forex, or Crypto.
Minimalist Interface: Professional aesthetic with high-contrast visual cues for instant scannability.
Use Cases
Momentum Trading: Identifying the Origin of the Move post-open.
Mean Reversion: Recognizing failed breakouts when price returns inside the range.
Quantitative Backtesting: Benchmarking 3.0 RR targets across different session anchors.
GSS: Gold Swing Sniper [DoNotFollowMeGod]"Inspired by Mean Reversion Theory and Dynamic Volatility Bands (similar to Keltner/Bollinger concepts).
Gold (XAUUSD) tends to respect volatility extremes. This script was designed to capture those extremes by combining a Volatility Channel with an ADX Strength Filter. It’s basically a mathematical approach to 'Buying Low and Selling High' in a ranging market."
Most traders lose money when the market stops trending. This indicator fixes that by identifying "Range-Bound" conditions using a smart ADX Filter.
How it works:
Market State Detection: It checks the ADX. If the market is trending strong, it stays quiet. If the market is chopping/ranging, it activates.
Sniper Entries:
SWING LONG: When price hits the lower band + RSI Oversold + Rejection Candle.
SWING SHORT: When price hits the upper band + RSI Overbought + Rejection Candle.
Dashboard: A clean Multi-Timeframe table to see if higher timeframes are Trending or Sideways.
Disclaimer:
This tool is a "Shield" against chop. Do not use it during high-impact news.
Based on volatility band logic.
TSS : Trend Sniper System [DoNotFollowMeGod]"Inspired by classic Tunnel Strategies"
Tunnel Green + Label Blue/Green = LONG
Tunnel Red + Label Red/Maroon = SHORT
Trade safe. Risk management is key.
RVOL_Core_NSELibrary "RVOL_Core_NSE"
f_rvol(lookbackDays, isNewDay, msSinceSessionStart, volume)
Parameters:
lookbackDays (int)
isNewDay (bool)
msSinceSessionStart (int)
volume (float)
Intraday Session Ranges (Asian-London-NY) - JonathanJD86This script is a technical utility designed to automatically track and visualize the high and low price levels of the three major trading sessions (Asian, London, and New York).
How it works: The script uses the time() function with the America/New_York timezone anchor to ensure accuracy regardless of the user's local time. It tracks the maximum and minimum price values during specific user-defined intervals.
Key Methodology:
Vertical Tick Offset: Unlike standard session boxes, this tool allows users to set a vertical gap (in ticks) so that the labels do not overlap the candle wicks, providing a clearer view of the actual price action.
Session Intervals: Defaulted to high-activity windows: Asian (20:00-00:00), London (02:00-05:00), and New York (08:30-16:00).
Dynamic Visibility: The script includes a logical check to automatically hide levels on timeframes higher than 1H, preventing chart clutter during macro analysis.
T5_TradeEngineLibrary "T5_TradeEngine"
tick(close_, high_, low_, ema21, ema50, ema200, atrPct, emaGapPct, btcEma50, btcEma200, btcFilterEffective, isBarClose, crossUp21_50, crossDown21_50, allowEntries, exitOnOppositeCross, feeBps, useSR_TPSL, srLeft, srRight, srLookbackPivots, srBufferPct, srMinDistPct, srMinNetAfterFeesPct, srFallbackToATR, tp1CapPct, slCapPct, useTP2Trail, trailExitOnCloseOnly, tp2CapPct, trailCapPct, holdBars)
Parameters:
close_ (float)
high_ (float)
low_ (float)
ema21 (float)
ema50 (float)
ema200 (float)
atrPct (float)
emaGapPct (float)
btcEma50 (float)
btcEma200 (float)
btcFilterEffective (bool)
isBarClose (bool)
crossUp21_50 (bool)
crossDown21_50 (bool)
allowEntries (bool)
exitOnOppositeCross (bool)
feeBps (float)
useSR_TPSL (bool)
srLeft (int)
srRight (int)
srLookbackPivots (int)
srBufferPct (float)
srMinDistPct (float)
srMinNetAfterFeesPct (float)
srFallbackToATR (bool)
tp1CapPct (float)
slCapPct (float)
useTP2Trail (bool)
trailExitOnCloseOnly (bool)
tp2CapPct (float)
trailCapPct (float)
holdBars (int)
SA Range Rank JNJ.WEEK. 1.15.2026Signal Architect™ — Developer Note
Weekly
These daily posts are intentional.
They are not meant to showcase wins, targets, or outcomes.
They are designed to help viewers observe consistency in market behavior—specifically how structure, range, and reaction repeat across different products and timeframes.
The value is not in catching every move.
The value is in knowing when participation is unnecessary or unsupported.
Signal Architect™ tools are built to help traders avoid low-quality decisions, not to encourage constant activity.
________________________________________
What These Posts Are Demonstrating
Over time, if you observe these posts across equities and futures, you’ll begin to notice:
• The same structural traps repeat across different instruments
• The same reactions occur across multiple timeframes
• The same stop-run and absorption behaviors appear regardless of volatility
That repetition is not coincidence.
It reflects how markets consistently behave, even as prices change.
The goal of these posts is to make that behavior familiar—
because familiarity reduces hesitation, overtrading, and unnecessary loss.
Consistency is not the outcome.
Consistency is the environment.
________________________________________
What You’re Seeing (Public View)
These charts display a limited visual preview of tools within the Signal Architect™ framework.
Only visual context is shown.
Core logic, calculations, thresholds, and execution rules are intentionally not disclosed.
The tools emphasize:
• Market structure over prediction
• Environmental awareness over signals
• Risk framing over reward chasing
Nothing shown publicly is meant to tell you what to trade.
It is meant to help you recognize when not to trade.
________________________________________
Why This Matters
Most losses do not come from being wrong on direction.
They come from participating:
• too early
• too late
• during transitions
• inside structural traps
Signal Architect™ tools are designed to filter those moments out.
In many cases, the highest-value action is:
• standing aside
• reducing size
• waiting for clarity
Saving capital is part of execution.
Avoiding a bad trade is often more valuable than finding a good one.
________________________________________
Background & Scope (Context Only)
Over the years, I’ve developed a wide range of systems and analytical tools spanning:
• Equities
• Futures
• Options structure
• Portfolio construction and allocation logic
This includes extensive work on rule-based, tightly controlled frameworks designed to function across changing market conditions.
None of that internal logic is shared publicly.
These posts exist strictly for education, observation, and pattern recognition—not advice, not signals, 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
Weekly (W) — Strategic Regime / “Where price is allowed to live”
Goal: Identify the dominant direction + structural permission for the entire week(s).
How to use:
• Treat weekly RECLAIM as regime confirmation, not an entry.
• If weekly prints Bull RECLAIM, favor long participation on lower timeframes until weekly invalidates.
• If weekly prints Bear RECLAIM, same idea but short-biased.
Best behavior to look for:
• 1–2 reclaim signals per month/quarter.
• Use it as a “macro gate.”
Recommended settings (starting point):
• dispMult 1.2–1.6
• reclaimWindow 20–40
• cooldown 8–20
🟣 WEEKLY — Macro Regime & Liquidity Clearing
1️⃣ Range Indicator (RI)
• <30 → long-term compression (energy building)
• >70 → macro expansion (trend regime active)
Use:
Defines whether markets are coiling or trending on a multi-month scale.
________________________________________
2️⃣ ZoneEngine (Structure)
• Identifies macro structural bias
• Explains why certain weekly moves fail or accelerate
Use:
Never fight weekly structure. This is your “market weather.”
________________________________________
3️⃣ Cloud / Reclaim (Behavior)
• Clouds classify regime state, not entries
• Reclaims are informational only on weekly
Use:
Helps label the regime: continuation vs transition.
________________________________________
4️⃣ Stop-Hunt Proxy
• Represents large-scale liquidity clearing
• Often tied to:
o fund rebalancing
o regime shifts
o macro events
Use:
Context only. Weekly stop-hunts explain why a regime changed — they are not trades.
SA Range Rank JNJ DAY 1.15.2026DAILY — PREPARE / POSITION MODE
Developer Note: Bias & Position Framing
This daily view is preparatory, not executable.
The purpose of the Daily timeframe is to define directional bias, not entries.
It helps frame which side of the market deserves attention and which activity should be ignored.
The goal here is context, not action.
________________________________________
Purpose on Daily
The Daily timeframe is used to:
• Define directional bias for the week
• Prepare position-building zones
• Identify environments where participation is unnecessary or elevated-risk
• Reduce overtrading by narrowing focus
Daily charts answer one question only:
“If I participate this week, which side makes sense?”
________________________________________
What Matters Most (Public View)
SA Range Indicator (RI):
→ Is the market transitioning or trending?
→ Is energy building, releasing, or rotating?
SA ZoneEngine (visual context only):
→ Are daily moves aligned with higher-timeframe structure?
→ Is price operating with or against dominant bias?
These visuals explain environment, not decisions.
________________________________________
How to Interpret Public Daily Posts
• Daily is not timing
• Daily is not execution
• Daily is not a signal
Daily charts prepare the trader mentally and structurally by clarifying:
• what deserves patience
• what deserves caution
• what deserves no attention at all
________________________________________
Messaging Line
“Daily charts prepare the trade — they don’t execute it.”
________________________________________
SEO Intent
daily equity bias, position preparation, market structure analysis
________________________________________
🤝 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
________________________________________
________________________________________
⏱ 15-MIN — PREPARE / POSITION MODE
Developer Note: Setup Formation Phase
The 15-minute timeframe is where setups begin to form, not where they are acted on.
This view exists to separate developing structure from noise.
________________________________________
Purpose on 15-Minute
The 15-minute timeframe is used to:
• Spot trap-prone conditions
• Identify developing structure
• Observe compression, rotation, or early expansion
• Prepare for execution — without acting
This timeframe answers a different question:
“Is something forming — or is this noise?”
________________________________________
What Matters Most (Public View)
SA Range Indicator (RI):
→ Compression → expansion transitions
→ Energy buildup vs premature release
SA CloudRegimes (visual only):
→ Whether price behavior reflects continuation, pullback, or contraction
→ Whether movement is controlled or impulsive
These visuals describe behavior, not entries.
________________________________________
How to Interpret Public 15-Minute Posts
• 15m is setup formation
• 15m is environmental awareness
• 15m is not execution
Most errors occur when traders act before structure has finished forming.
This timeframe exists to slow that impulse down.
________________________________________
Messaging Line
“Preparation happens before the move — not during it.”
________________________________________
SEO Intent
15 minute futures setup, market preparation, stop hunt behavior
________________________________________
🤝 For Those Who Find Value
If these posts help you better recognize developing structure:
• 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
Daily (D) — Swing Bias / “This is the side that has permission”
Goal: Define swing participation: are we in a supported trend or mean-revert risk?
How to use:
• Daily RECLAIM = “permission restored” after a shock move / trend resumption.
• Use it to decide:
Hold adds / reduce hedges / stop fighting direction.
Best use case:
• After earnings/news displacement days
• After large liquidation candles
• After a major gap day
Settings:
• dispMult 1.1–1.5
• reclaimWindow 12–25
• cooldown 6–12
🔵 DAILY — Swing Environment & Risk Framing
1️⃣ Range Indicator (RI)
• Compression → swing expansion likely
• Expansion → continuation or exhaustion
Use:
Tells you whether to expect patience or momentum.
________________________________________
2️⃣ ZoneEngine (Structure)
• Confirms whether daily swings align with higher bias
• Filters false daily breakouts
Use:
Only trust daily moves that occur inside structure.
________________________________________
3️⃣ Cloud / Reclaim (Behavior)
• Trend Clouds → continuation environment
• Pullback Clouds → reload or fade zones
• Reclaim shows acceptance back into value
Use:
Distinguishes real pullbacks from traps.
________________________________________
4️⃣ Stop-Hunt Proxy
• Clears weak swing participants
• Often precedes continuation when aligned
Use:
Stop-hunt + compression + trend cloud = swing continuation context.
Attorney Ko's Moving Average 3 Stochastic책 고변호사 주식강의에 나오는 이평선과 스토캐스틱을 적용했다.
60이평선을 40이평선, 120이평선을 80이평선으로 바꿨다.
I applied the moving averages and stochastics from Attorney Koh's stock lecture.
I changed the 60 moving average to the 40 moving average, and the 120 moving average to the 80 moving average.
Big Trades [Volume Anomalies] (Enhanced)The script is a **volume-anomaly “big trades” detector** for futures that tries to (1) split each candle’s volume into a **buy-pressure** and **sell-pressure** estimate, (2) flag **statistically extreme** candles (tiers), and (3) optionally label those extremes as **initiative (follow-through)** vs **absorbed (no follow-through)** using a forward-style confirmation window.
Here’s what it does, piece by piece.
---
## 1) What it’s trying to detect
It’s not true “whale prints” or real bid/ask delta. It detects:
* **unusually large participation** (volume anomaly)
* with a **directional guess** (buy-ish vs sell-ish)
* and then checks whether price **continued** after that anomaly
So it’s: **“big participation + did it work?”**
---
## 2) The “buy vs sell volume” estimate
For each candle, it builds a **weight** for buy and sell pressure:
* **close location within the candle**
* close near high → more buy weight
* close near low → more sell weight
* **body direction (close–open)**
* bullish body adds buy boost
* bearish body adds sell boost
Then it computes:
* `raw_buy = volume * buy_weight`
* `raw_sell = volume * sell_weight`
This is an **OHLC-based proxy** for pressure, not real aggressor volume.
---
## 3) Normalization (makes it behave across sessions)
If enabled, it divides by ATR:
* `norm_buy = raw_buy / ATR`
* `norm_sell = raw_sell / ATR`
This helps a lot on futures because volume/volatility regimes differ between Asia/London/NY.
---
## 4) Statistical anomaly detection (z-score logic)
It calculates “what’s normal” using the last `lookback` bars, but **uses ` `** so the current bar doesn’t contaminate the stats (reduces flicker):
* `avg_buy = sma(norm_buy, lookback) `
* `std_buy = stdev(norm_buy, lookback) `
(and same for sell)
Then it computes **z-scores**:
* `z_buy = (norm_buy - avg_buy) / std_buy`
* `z_sell = (norm_sell - avg_sell) / std_sell`
If z-score crosses thresholds, it triggers tiers:
* Tier 1: `sigma`
* Tier 2: `sigma + tier_step1`
* Tier 3: `sigma + tier_step2`
So **Tier 3 = “big bubble”**.
---
## 5) Optional VWAP bias filter
It computes VWAP correctly as:
* `vwapv = ta.vwap(hlc3)`
If enabled:
* buys only when `close >= vwap`
* sells only when `close <= vwap`
This is just a **trend/bias filter** to reduce counter-trend bubbles.
---
## 6) Plotting (how bubbles appear)
It places markers at:
* buys around `(close+low)/2` (lower-ish)
* sells around `(close+high)/2` (upper-ish)
And draws:
* small/medium/large circles (depending on tier)
* with optional INIT/ABS overlays (explained next)
---
## 7) “Initiative vs Absorbed” classification (the smart part)
Because Pine can’t see the future on the same bar, your script does a **delayed evaluation**:
* It waits `N = confirm_bars`
* Looks at what happened from the signal bar to the current bar
* Decides if price moved far enough in the intended direction
It uses:
* `hh_window = highest(high, N+1)`
* `ll_window = lowest(low, N+1)`
(these cover the last N+1 bars: from signal bar to now)
Then it measures follow-through:
* For a buy signal N bars ago:
`buy_move = hh_window - high `
* For a sell signal N bars ago:
`sell_move = low - ll_window`
It compares to an ATR-based threshold anchored to the signal bar:
* `thr_move_sig = ATR * move_mult_atr`
If move > threshold → **INIT**
Else → **ABS**
Then it **plots back onto the original signal bar** using `offset=-N` so it visually marks the candle that caused it.
To make it obvious:
* **INIT** = circle
* **ABS** = X
This part is “accurate” in the sense that it’s purely **price-outcome based**.
---
## 8) Labels (optional)
If enabled, it prints labels on those large signals with:
* INIT/ABS
* the z-score at the signal bar
* and a “delta proxy” (`norm_buy - norm_sell`), not true delta
---
## In one sentence
The script flags **statistically extreme volume-pressure candles** (buy/sell proxy), and then classifies those extremes as **worked (initiative)** or **failed (absorbed)** based on **subsequent price movement** within `confirm_bars`.
Simple Trend Context [Wall_Journey]Simple Trend Context MA: Dynamic Market Bias Visualizer
Overview The Simple Trend Context MA is a visual-oriented trading tool designed to identify the prevailing market trend at a glance. By utilizing two Simple Moving Averages (Fast and Slow), this script provides a clear "Context" for your trades, helping you avoid trading against the primary momentum.
How it Works The indicator calculates two key SMA periods:
Fast MA (Default: 20) : Captures short-term momentum.
Slow MA (Default: 50) : Represents the broader trend direction.
Key Features
Dynamic Background Shading: The chart background automatically changes color based on the trend. A Green background indicates a Bullish trend (Fast MA > Slow MA), while a Red background indicates a Bearish trend (Fast MA < Slow MA).
Real-time Trend Label: A dynamic label appears on the most recent bar, explicitly stating the current market context (Bullish, Bearish, or Neutral).
Highly Customizable: You can easily adjust the MA lengths to suit your specific strategy, whether you are scalping or swing trading.
Why use this? Many traders fail because they lose sight of the "Big Picture." This script ensures that the trend context is always visible, serving as a powerful filter for your entry signals.
ORB (x2) by jaXn# ORB (x2) Professional Suite
## 🚀 Unleash the Power of Precision Range Trading
**ORB (x2)** isn't just another breakout indicator—it is a complete **Opening Range Breakout workspace** designed for professional traders who demand flexibility, precision, and chart cleanliness.
Whether you are trading Indices, Forex, or Commodities, the Opening Range is often the most critical level of the day. This suite allows you to master these levels by tracking **two independent ranges** simultaneously, giving you a distinctive edge.
## 🔥 Why choose ORB (x2)?
Most indicators force you to choose one specific time. **ORB (x2)** breaks these limits.
### 🌎 1. Multi-Session Mastery (London & New York)
Trade the world's biggest liquidity pools. Set **ORB 1** for the **London Open** (e.g., 03:00–03:05 EST) and **ORB 2** for the **New York Open** (09:30–09:35 EST). Watch how price reacts to London levels later in the New York session.
### ⏱️ 2. Multi-Strategy Stacking (The "Fractal" Approach)
This is a game-changer for intraday setups. Instead of two different times, track **two different durations** for the *same* open.
* **Setup:** Configure **ORB 1** as the classic **5-minute range** (09:30–09:35).
* **Setup:** Configure **ORB 2** as the statistically significant **15-minute or 30-minute range** (09:30–10:00).
* **Result:** You now see immediate scalping levels *and* major trend reversals levels on the same chart, automatically.
### 🎯 3. "Plot Until" Tech: Keep Your Chart Clean
Sick of lines extending infinitely into the void?
Our exclusive **"Plot Until"** feature separates the signal from the noise. You define exactly when the trade idea invalidates.
* *Example:* Plot the 09:30 levels only until 12:00 (Lunch).
* The script intelligently cuts the lines off at your exact minute, ensuring your chart is ready for the afternoon session without morning clutter.
### ⚡ Precision Engine
We use a dedicated "Precision Timeframe" input. Even if you are viewing a 1-hour or 4-hour chart to see the big picture, ORB (x2) can fetch data from the **1-minute** timeframe to calculate the *exact* high and low of the opening range. No more "repainting" or guessing where the wick was.
## 🛠 Feature Breakdown
* **Dual Independent Engines:** Fully separate Color, Style, Time, and Cutoff settings for both ORB 1 and ORB 2.
* **Absolute Time Cutoff:** Lines obey day boundaries perfectly. A cutoff at 16:00 means 16:00, not "whenever the next bar closes".
* **Style Control:** Visually distinguish between your "Scalp" ORB (e.g., Dotted Lines) and your "Trend" ORB (e.g., Solid Thick Lines).
* **Performance Mode:** Adjustable "Lookback Days" limits history to keep your chart lightning fast.
## 💡 Configuration Examples
**The "Double Barrel" (Standard Stock + Futures)**
* *ORB 1:* `0930-0935` (5 min) - The immediate reaction.
* *ORB 2:* `0930-1000` (30 min) - The institutional trend setter.
**The "Transatlantic" (Forex/Indices)**
* *ORB 1:* `0800-0805` (London Open) - European liquidity.
* *ORB 2:* `1330-1335` (NY Open) - US liquidity injection.
## ⚠️ Disclaimer
Trading involves substantial risk. This tool helps visualize critical price levels but does not guarantee profits. Always combine with proper risk management and your own analysis.






















