Indicator
CTZ Cycle Trader v1.6 CTZ Cycle Trader
A complete multi-asset cycle timing system that automatically detects Daily, Weekly, Yearly and Long Cycle lows, projects when the next lows are due, and tells you exactly where you are in every cycle at a glance.
WHAT IS CYCLE THEORY
Markets don't move randomly — they breathe in rhythmic cycles of accumulation and decline, each measured from one low to the next. Cycle analysis tracks these rhythms across nested timeframes: short daily cycles sit inside larger weekly cycles, which sit inside yearly and multi-year cycles. When several cycle lows fall due in the same zone, the biggest turning points form. This indicator automates the entire process that cycle traders have historically done by hand.
THE FOUR CYCLE TIERS
Daily Cycle Lows (DCL) — the short-term rhythm, your timing tool for swing entries. Each confirmed low prints with the day count of the completed cycle so you can track rhythm and symmetry at a glance.
Weekly Cycle Lows (WCL) — the medium-term structure. Marked with the week count between lows, these are the reversals that define swing and position trades.
Yearly Cycle Lows (YCL) — the macro turning points that anchor longer-term positioning.
Long Cycle Lows — the generational lows. Four years on Bitcoin and equities, eight years on gold, configurable for any asset.
MULTI-ASSET BY DESIGN
Every market has its own heartbeat, and the indicator maps to each one. Three modes in settings:
Auto-Detect — recognises the chart symbol and loads the right cycle lengths automatically. Bitcoin and Ethereum run 54–66 day daily cycles and 24–34 week weekly cycles with the 4-year long cycle. Stock indices (SPX, NDX, DJI) run 36–44 days and 22–31 weeks. Gold and silver run 22–28 days, 20–26 weeks and the 8-year long cycle.
Asset Class — pick Stocks, Metals, Bitcoin/Crypto, Forex or Energy from a dropdown and the full profile applies to any chart.
Manual — set every range yourself for fine-tuning or unusual assets.
SMART CONFIRMATION LOGIC
Lows aren't guessed — they're confirmed. A potential low becomes confirmed only when price recovers above the confirmation average. If price later breaks below a confirmed low, it's cancelled, and the marker relocates to the true low when it forms. Lower lows within a cycle window always supersede, so markers end up on the real bottom, not the first bounce.
FUTURE CYCLE LOW WINDOWS
The core edge: the indicator projects forward timing windows showing where the next DCL, WCL and Long Cycle low are statistically due — as chart zones and as actual date ranges on the dashboard, e.g. "Next WCL due: 24 Jul – 02 Oct". You know in advance when to be patient and when to be paying close attention.
LIVE DASHBOARD
Always-on panel showing your position in every cycle simultaneously: days since the last DCL, weeks since the last WCL, YCL and long cycle low, pending unconfirmed lows, whether price is currently inside a timing window, and the projected due dates for the next weekly and long cycle lows.
HOW TO USE IT
Apply to the daily timeframe. Check the dashboard to orient yourself — early in a cycle favours holding with the trend; late in a cycle, tighten risk and watch for the window. When price enters a timing window, watch for a swing low to form and confirm — that's the highest-probability turning zone. The real power is confluence: when a daily window opens inside a weekly window, and the weekly sits inside a long cycle window, the nested structure is pointing at a major low. Alerts cover confirmed and cancelled lows and window entries, so the indicator watches the clock while you live your life.
Best on daily charts. Works on crypto, indices, metals, forex and commodities.
DISCLAIMER
Cycle windows are probability zones based on historical rhythm, not guarantees. This indicator is for educational and research purposes and is not financial advice. Always do your own research and manage risk.
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Indicator
Aquila Price Levels - Multi-Timeframe Institutional Levels 🦅 Aquila Price Levels - Multi-Timeframe Institutional Levels
The "Aquila Price Levels v1.1" script is a structural analysis tool developed to simultaneously map and visualize critical price levels across Daily (D), Weekly (W), and Monthly (M) timeframes directly on the operational chart.
The Importance of a Unified Visualization (Single Board):
Having a comprehensive overview of macro and micro levels in a single interface is critical for reading Order Flow and market structure. This centralized approach eliminates noise and the constant need to switch timeframes, allowing the user to:
Identify Confluences: Highlights zones where levels from different timeframes (e.g., Previous Week High and Current Daily Open) intersect, defining high-probability order blocks.
Map Liquidity: Makes external liquidity targets (PDH, PDL, weekly and monthly highs/lows) immediately visible. These are the primary targets exploited by algorithms and institutional players for positioning.
Define the Bias: Evaluating the real-time price position relative to macro Opens provides an objective reading of both short-term and long-term directional bias.
Manage Equilibrium Areas: Tracking the medians (H+L)/2 provides constant reference points for mean reversion setups.
Main Features:
Multi-Timeframe Tracking (Current & Previous): Automatic calculation and plotting of Open, High, Low, Close, and Median for the day, week, and month (both currently updating and previously consolidated).
Smart Label Management: The system dynamically groups labels on the horizontal axis if levels fall within a configurable tolerance threshold, preventing visual overlapping on the chart.
Summary Table (Dashboard): An integrated visual matrix (freely positionable) that summarizes the exact numerical values of all D/W/M levels, acting as an immediate control panel.
Operational Tooltips: Hovering over the price labels provides technical descriptions of the level's significance (e.g., directional watershed, macro wall, liquidity trap).
UI Customization: Total control over line thickness, styles, opacity for current periods, and label offsets.
Practical Application:
Particularly optimized for highly technical and volatile assets like XAUUSD (Gold), where millimeter precision on historical liquidity grabs and reactions to macro levels dictates the profitability of the operational setup.
🦅 Royal Eagles - Born to fly, born to dare. Indicator
Indicator
CTZ Bitcoin Cycle Master (Modified)Here's a description written in your own words for the PulseWire publish page, with the required credit to the original author since it's a modification of an open-source script:
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CTZ Bitcoin Cycle Master (Modified)
This is a modified version of the open-source Bitcoin Cycle Master by InvestorUnknown, republished under the Mozilla Public License 2.0 with full credit to the original author. The underlying on-chain models are unchanged — this version adjusts how the bands are positioned and adds user control over every line.
WHAT IT DOES
The indicator plots five long-term valuation models on the Bitcoin chart, designed for macro cycle analysis on high timeframes (weekly and monthly recommended, log scale):
Top Cap — a 35x multiple of Average Cap (the cumulative average of price over Bitcoin's lifespan). Acts as the upper boundary for speculative cycle peaks.
Terminal Price — derived from Coin Days Destroyed and normalised by Bitcoin's 21 million supply cap. A supply-adjusted price model historically relevant near cycle tops.
Realized Price — Realized Cap divided by circulating supply. The average on-chain cost basis of all coins, and a key line in bear market bottoms.
CVDD — Cumulative Value Coin Days Destroyed. A historically reliable floor model that has caught major cycle lows.
Balanced Price — Realized Price minus Transferred Price. A deep-value zone that has marked bear market capitulation lows.
WHAT'S DIFFERENT IN THIS VERSION
1. Recalibrated band positioning. Historical cycle behaviour shows diminishing returns — each cycle tops further below the classic upper bands. This version repositions three lines by default: Terminal Price sits 33 percent lower, CVDD 10 percent lower, and Balanced Price 5 percent lower than the original calculations.
2. Per-line offset multipliers. Every model has its own multiplier input, so you can shift any band up or down from the settings panel without touching code. Defaults reflect the recalibration above, but everything is fully adjustable back to the original values (set all multipliers to 1.0).
3. Delta Top removed. Stripped out to reduce chart clutter and focus on the models with the most consistent historical track record.
4. Full colour control. Each line has its own colour picker, so the indicator can be themed to any chart setup.
5. Converted to Pine Script v6.
HOW TO USE IT
Best viewed on INDEX:BTCUSD, weekly or monthly timeframe, logarithmic scale. Price approaching the upper bands (Top Cap, Terminal Price) has historically coincided with late-cycle euphoria and distribution. Price reaching the lower bands (Realized Price, CVDD, Balanced Price) has historically marked deep value and accumulation zones.
Data sources: Coin Metrics realized cap, Glassnode supply and transfer volume, INDEX:BTCUSD price history.
DISCLAIMER
This indicator is for research and educational purposes only and is not financial advice. On-chain models describe historical behaviour and offer no guarantee of future performance.
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Two notes before you publish. PulseWire house rules require open-source mods to stay open-source and credit the original, which this description does in the first line — keep the attribution in the code header too. And if this one is staying in the CTZ private collection rather than being published, you can drop the licence paragraph and just use the description from WHAT IT DOES downward. Indicator
Silver Bullet & First/Last FVGIt is designed around the popular ICT (Inner Circle Trader) "Silver Bullet" concepts. Its main purpose is to highlight specific time-based trading windows on your chart and automatically detect and isolate the most significant Fair Value Gaps (FVGs) that form within those windows.
Here is a breakdown of its functionality:
1. Specific Time Sessions
The script monitors three specific 1-hour time windows (defaulting to New York time, but adjustable):
London Silver Bullet: 03:00 - 04:00
New York AM Silver Bullet: 10:00 - 11:00
New York PM Silver Bullet: 14:00 - 15:00
Each of these sessions can be toggled on/off individually, and their border colors customized.
2. Session Range Highlighting
When one of these 1-hour sessions begins, the script starts tracking the absolute Highest and Lowest price reached during that hour.
Once the session ends, it draws a large, semi-transparent box encapsulating that entire 1-hour price action range.
The box is labeled in the bottom right corner (e.g., "Lon SB" or "NY AM SB") so you can easily visually identify the Silver Bullet hour in hindsight.
3. First and Last FVG Detection
This is the most unique feature of the script. While standard indicators highlight every FVG, this script filters them based on the Silver Bullet sessions:
It continuously looks for standard 3-candle Fair Value Gaps (both bullish and bearish).
However, it only plots FVGs if they occur inside one of the active Silver Bullet sessions.
Furthermore, to reduce clutter, it only stores and plots the First FVG and the Last FVG that formed during that specific 1-hour window.
It automatically extends the boxes of these specific FVGs to match the right edge (end time) of the Silver Bullet session box.
4. Memory and Optimization
To prevent PulseWire from throwing "too many drawings" errors or causing lag on your chart:
It uses a custom data structure (SBSessionData) to manage the state of each session cleanly.
At the start of every new day, it runs a cleanup function (clearDrawings()) that deletes older session boxes and FVGs if they exceed the user-defined sb_lookback limit (default 100 historical boxes). Indicator
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CTZ Bitcoin Vector Regime Tops & BottomsTwo frameworks. One chart. Cycle timing tells you when a low is due — regime analysis tells you whether the market agrees. v3.3 fuses them.
The Cycle Engine tracks Bitcoin's rhythm across four nested cycles — Daily (~30 days), Intermediate (~80 days), Yearly (~365 days), and the 4-Year cycle — detecting each low as it forms, learning from actual cycle lengths, and projecting forward: cycle lines, projection boxes with price targets, countdown timers, and progress bars for every degree. Star-rated confidence on every DCL and ICL (divergence, volume, regularity, translation), cycle failure detection with bull/bear context, invalidation levels, win/fail streaks, and multi-cycle sync detection.
The Vector Engine runs a six-component regime model alongside — trend structure, momentum, MACD, rate of change, drawdown, and Supertrend — scored into a composite that classifies the market as Strong Risk-On, Risk-On, Risk-Off, or Strong Risk-Off, with a live count of how many internals are improving. The regime also powers smarter bull/bear detection for the cycle engine's failure logic (toggleable).
Where they agree is where it matters:
⚡★ CONFLUENCE LOW — a cycle timing window is active and the Vector confirms: deep capitulation, internals turning up together, composite rising. The clock says a low is scheduled; the internals say it's actually forming.
⚠ V-TOP — the regime flips Risk-On → Risk-Off within bars of a fresh cycle high while translation is weak. Timing and condition both warning at once.
A full dashboard covers everything: cycle progress for all four degrees, translation, MA breakout status, upcoming low countdowns, zone alerts, invalidation prices, signal quality, and a dedicated Vector section with regime, score, and improvement breadth.
Comprehensive alerts: confluence signals, new cycle lows, high-conviction setups, cycle failures, sync events, zone entries, and MA breakouts.
Designed for BTCUSD daily.
Cycle projections and regime signals describe probabilities, not certainties. Not financial advice. Indicator
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MR8 Trend Direction & Signal IndicatorThe MR8 is a dynamic trend-following indicator built on the McGinley Dynamic moving average — one of the most responsive and self-adjusting smoothing algorithms available. Unlike traditional EMAs that can lag or whipsaw in changing market conditions, the McGinley Dynamic automatically adapts its speed based on market velocity, resulting in cleaner, more reliable signals.
How It Works
MR8 plots two McGinley Dynamic lines — a faster Ribbon 8 and a slower Ribbon 9. When the faster line crosses above the slower line, the ribbon turns white, signaling bullish momentum and a potential long entry. When the faster line crosses below, the ribbon turns grey, signaling bearish momentum and a potential short entry. This crossover method filters out the noise and false flips that plague single-line slope-based indicators.
Built-In Stop Loss
MR8 includes an optional visual stop loss line calculated directly from the ribbon's current value — 2% above the line for shorts, 2% below for longs. Toggle it on in settings to see exactly where your risk level sits relative to the indicator itself, on any timeframe.
Alert Ready
MR8 includes two built-in alert conditions — one for long signals and one for short signals — with a webhook-compatible JSON message format. Connect directly to any automated trading bot or notification system with zero additional configuration.
Best Used On
BTC/USD and BTC/USDT
55 minute, 1 hour, and higher timeframes
Futures and spot markets
Settings
Ribbon 8 Length — controls the speed of the faster line (default 12)
Ribbon 9 Length — controls the speed of the slower line (default 21)
Stop Loss % — distance from the ribbon for the optional SL line (default 2%)
Show Stop Loss Line — toggle the SL visualization on or off Indicator
SmartTraders Research Labs -Geometric Trend Lines - GTLGEOMETRIC TREND LINES (GTL)
GTL is a research indicator that studies the geometry of price structures. It freezes structural anchors in the past, stretches two right-triangles between those anchors and the live candle, and reads their angles inside a dimensionless coordinate space — then learns from every completed structure to estimate, with calibrated statistics, which way the current one is leaning. It is a structural analysis and research tool, not a trading system.
█ STEP OUT OF THE CHART PLANE
Every trader has drawn a trendline and called it steep. Steep compared to what? Stretch the chart window and the angle flattens. Jump from Bitcoin to a quiet blue-chip stock and a "45-degree rally" becomes a completely different animal. The chart plane mixes two quantities that were never meant to share axes — price and time — so any angle drawn on it is a property of your zoom level, not of the market.
My standard, before any geometry begins, is to take the shape out of the chart plane entirely. GTL maps every point into an Isotropic Coordinate System (ICS) where both axes are pure numbers:
y = log(price) / σ
x = bars / lookback
Price is expressed in units of the instrument's own volatility (σ, estimated with the Yang-Zhang method over 500 bars), and time in units of the analysis window. Nothing on either axis carries dollars, lira, satoshis or minutes anymore.
In this space, a degree finally means something. The angle
θ = atan(Δy / Δx) × 180 / π
is intrinsic: a 60° ceiling angle on gold's 30-minute chart describes the same geometric event as a 60° ceiling angle on a 3-minute meme-coin chart. The instrument's personality — its price level, its tick size, its temperament — has been normalized away, and what remains is pure trajectory. Everything else in this indicator stands on that ground.
The same rally, two zoom levels, two different angles — and on the right, the dimensionless ICS home where θ finally becomes a property of the market, not of your screen.
█ THE TRIANGLE — A SHAPE THAT CARRIES DATA
Of all the shapes humanity has leaned on, the triangle is the one that never let us down. It raised the pyramids, it holds every bridge truss and roof frame you have ever walked under, and it is the only polygon that cannot be deformed without changing the length of a side. Engineers call that property rigidity. I read it as trustworthiness — a triangle does not lie about its geometry.
That is why I chose it as the measuring instrument. On every structure, GTL constructs two right-triangles inside ICS:
The ceiling triangle — from the frozen HH anchor to the live candle's high.
The floor triangle — from the frozen LL anchor to the live candle's low.
Each triangle is not a drawing; it is a container. Four measurements live inside it at every bar:
θ — the signed angle of the hypotenuse, the indicator's core reading
Δy — the signed magnitude of the move in volatility units
area — the geometric surface the structure has swept
centroid — the shape's center of mass in ICS
While price grinds below a frozen ceiling, the ceiling angle sinks degree by degree into negative territory. When price presses up from a frozen floor, the floor angle climbs. Two triangles breathe with the market — one watching from above, one from below — and their angles are the raw language everything downstream of this indicator speaks.
One triangle watches from above, one from below — and θ, Δy, area and centroid live inside each of them.
█ AN ANCHOR IN THE PAST — MEASURING FROM CALM WATER
Picture a storm at sea, and two people trying to measure the waves. One stands on the shore. One sits in a boat, right among them. The observer on the shore, feet on solid ground, reads the height of every wave with precision — however wild the water gets, the ground beneath him does not move. The observer in the boat rises and falls with the very thing he is trying to measure; every number he writes down is contaminated by his own motion.
Most swing-based tools are the observer in the boat. Their reference points — the latest swing high, the latest swing low — are redefined by the market again and again, so any angle or distance measured from them mixes two movements at once: the price's, and the reference's own.
GTL plants its observer on the shore. At the birth of every structure, the highest high and the lowest low of the lookback window are frozen — locked to a fixed bar in the past — and from that moment they do not move. Every angle is measured from calm, settled water toward the storm of the live candle. The reading stays pure: when θ changes, it is because price moved, and for no other reason.
The anchors hold until price closes beyond one of them. That close is the break — the moment the structure completes, is archived with its full geometry, and a fresh pair of anchors freezes for the next chapter.
One naming note, so the chart reads correctly: what GTL labels HH and LL are these frozen anchor levels, not the traditional trailing swing highs and lows.
Solid ground measures the storm precisely; a boat measures mostly itself — GTL is the observer on the shore, and the frozen box below is exactly that shore.
█ WHY 23 — A PRIME WINDOW
The lookback window — the number of bars GTL scans before freezing a new pair of anchors — defaults to 23. The choice is arithmetic, not aesthetic.
23 is prime: its only divisors are 1 and itself. Stated as a condition,
gcd(23, k) = 1 for every k < 23
For a rolling window, that matters mechanically. If a periodic component of length k shorter than the window is present in the data, the window boundary does not keep meeting that component at the same phase. Because 23 and k are coprime, the alignment steps through all k possible phase offsets before it repeats. A composite window gives that protection away: 24 divides cleanly by 2, 3, 4, 6, 8 and 12, so components at those lengths can meet repeated window boundaries at the same phase, allowing anchor placement to inherit regularity from the measuring frame itself.
Engineering solved the same problem with hunting-tooth gear design: tooth counts are chosen coprime so each tooth eventually meshes with every counterpart, instead of the same pairs meeting forever and wearing a repeated pattern into the metal. Periodical cicadas offer a biological analogy — 13- and 17-year emergence cycles, both prime, reduce overlap with shorter recurring cycles.
This is a design principle stated in number theory, not a performance claim. A prime window does not make GTL better by itself, and it does not prove anything about future price. It simply reduces one avoidable source of arithmetic resonance, so repetition in the readings is less likely to be created by the measuring window. The lookback remains a user input; 23 is the default I stand behind.
Every window from 20 to 25 shares a divisor with at least one shorter cycle length — 23 is the only empty row, which is exactly why it is the default.
█ HOW THIS SERIES IS BUILT — CSV OUT, ANALYSIS IN
This episode follows a working method I now treat as the standard for the whole series: nothing ships on intuition alone. The indicator exports its own internal life — every angle, every structure, every break — as plain columns in the Data Window, ready for CSV export. Before publication, those exports were analyzed with AI assistance across a deliberately diverse panel:
7 instruments × 2 timeframes = 14 datasets
gold, Bitcoin, Tesla, Brent crude, Turkish Airlines, Dogecoin, Saudi Aramco
30-minute and 3-minute bars — roughly 550,000 bars, ~30,000 completed structures
What came back from that study entered the code as design decisions, not as promises. Exactly five constants in the learning layer are hard-coded. They are not presented as universal truths or performance guarantees; they are documented design constants selected from the development study and kept fixed so the live model remains transparent and reproducible:
CAL_LAMBDA = 0.999 — fading-factor decay for the calibration counters
CAL_JUMPTH = 2.0 — empirical jumpiness threshold between steady and choppy estimates
CAL_MINW = 30 — minimum effective sample weight before a calibration cell is trusted
CAL_ROLL = 20 — length of the live recent-record window
JUMP_WIN = 5 — bars used for the short-term stability measurement
The methods behind the layer are standard enough to be named — fading-factor prequential counting for online calibration, adaptive Gaussian KDE for local probability estimation, and Kish-style effective sample size for weighted evidence — and the next section walks through each of them with its reference. The fixed values above are GTL's calibrated defaults from that study, not claims that these numbers are optimal for every market, symbol, or timeframe. Everything else the statistics need — bandwidth, confidence, significance — is computed live from the chart's own history.
Two honest disclosures. First, this analysis is development documentation, not an independent audit, and this description makes no accuracy claims from it. Second, the same door is open to you: every column used in that study is exported by the script itself, so you can pull the CSV from your own chart and put the same questions to any tool you trust.
The build loop of this series: the script exports its own life as CSV, analysis turns it into five documented design constants, and the same door stays open to every user.
█ FROM GEOMETRY TO STATISTICS — THE MATH, WITH ITS REFERENCES
An angle is a measurement; an estimate is a statement. Moving from one to the other honestly requires statistics. GTL does not present this layer as a private invention. It combines established statistical components, named here with their sources, and applies them to one specific object: the geometry of frozen price structures.
Volatility normalization. The σ in the ICS y-axis comes from the Yang-Zhang volatility estimator (Yang & Zhang, Journal of Business, 2000). It uses open, high, low and close data, including overnight, open-to-close and Rogers-Satchell-style range components. In GTL, this is what lets angles be measured in volatility-normalized space instead of raw price units.
Local probability. While a structure is alive, its current angle pair (θC, θF) is compared with archived breaks. Each historical break receives a Gaussian weight that decays with distance in angle space. This is a Gaussian KDE-style local weighting scheme. Its bandwidth follows Silverman's rule-of-thumb logic for two dimensions, h = σ̂ · n^(−1/6), recomputed from the chart's own history. Nothing is manually tuned.
Honest sample size. Weighted evidence can look larger than it really is: many tiny weights are not the same as many strong neighbors. GTL therefore uses the Kish effective sample size (Kish, Survey Sampling, 1965),
n_eff = (Σw)² / Σw²
to estimate how much effective evidence the weighted neighborhood actually contains.
Probability with humility. The weighted up/down vote is passed through a Beta(1,1) posterior, using n_eff as the effective evidence scale. The label only speaks when the posterior mean clears a one-sided 95% normal-approximation check against the 50/50 baseline. When that threshold is not met, the label does not force a call; it simply says the structure is too close to call.
Verification. The principle that probability forecasts must be scored against what actually happened goes back to Brier's 1950 paper in Monthly Weather Review, "Verification of Forecasts Expressed in Terms of Probability." In GTL, every estimate is graded when the break reveals the outcome.
Online calibration. Graded outcomes update fading-factor prequential counters, following the stream-learning evaluation framework of Gama, Sebastião and Rodrigues (Machine Learning, 2013). Fresh evidence receives more weight, while older evidence decays with λ = 0.999. The display can therefore show both the raw estimate and how estimates of the same kind have behaved on the current chart.
Stability. GTL also tracks estimate "jumpiness": the population standard deviation of the last five probability readings. The term and the general idea come from ensemble-forecast consistency research, especially Zsóter, Buizza and Richardson (Monthly Weather Review, 2009). GTL uses a chart-specific adaptation of that idea: a steady estimate and a choppy estimate are labeled differently, because a choppy estimate may still flip.
Nothing in this chain is exotic, and none of it is a performance guarantee. The original part is where the chain is pointed: at frozen structural geometry, measured inside a dimensionless coordinate space.
█ WHAT YOU SEE ON THE CHART
Frozen anchors. Two dashed horizontal lines mark the frozen HH and LL of the current structure, each with its exact level, and a dotted vertical line marks the anchor bar in the past where the freeze happened. These lines do not trail price — that is the whole point.
Geometric trend lines. Two solid lines run from the anchors to the live candle: ceiling from HH to the current high, floor from LL to the current low. They are the triangle hypotenuses. When the two lines converge, they stop at their intersection instead of crossing. The live θC and θF values sit as labels at the anchor.
Structure boxes. Every completed structure is archived as a box: one border color for structures that broke up, another for structures that broke down, and a dashed box for the structure still being built. How many past boxes you see is your choice.
Angle map. A table sorts the recent breaks by their break angles — ceiling side and floor side, each with direction and duration. An arrow row shows where the current live reading ranks among them, so you can literally see where "now" sits in the break history. The footer row carries the up/down estimate; once the calibration cell has enough samples, it shows two numbers, raw → calibrated.
Estimate label. A label floats ahead of the last candle and speaks in sentences: which direction the odds favor, what signals of this kind have actually done on this chart (or the estimated odds while calibration is still warming up), whether the signal is steady or choppy, and a living record — how many of the last 20 estimates were right. It only takes a side when the significance check passes; otherwise it says, honestly, that the structure is too close to call.
The pending phase. Between a break and the next freeze, preview anchors appear as dotted gray lines, the table shows an hourglass, and the estimate quietly switches to a second model trained on pending-phase angles to estimate the direction of the NEXT structure's break.
One disclosure that matters: on the live bar, angles and estimates can change until the candle closes. Everything the indicator learns from — and every alert it fires — reads confirmed bars only.
█ UNDER THE CHART — 29 EXPORTED COLUMNS
Everything drawn above is only a rendering. The numbers underneath are all exported to the Data Window, which means PulseWire's "Export chart data" hands you a complete CSV audit trail:
Live geometry & estimate, every bar:
Ceiling θ / Floor θ — the two live angles in ICS
Probability UP / Probability DOWN — the per-bar estimate (these two are also plots, so you can build threshold alerts on them directly)
Log Jump Bar — the stability (jumpiness) of the estimate
Log Cell Bar — which calibration cell this bar fell into
Structure snapshot, printed on every break bar:
Str Duration — how many bars the structure lived
Str Frozen HH / Str Frozen LL — the anchor levels
Str Max High / Str Min Low — the extremes reached inside
Str θ Ceil @Max / Str θ Floor @Min — the angles at those extremes
Str Break Dir — +1 up, −1 down
Estimate audit trail, on birth and break events:
Log Event — 1 = birth, 2 = break, 3 = both on one bar
Log θC Birth / Log θF Birth / Log P Birth / Log Sig Birth / Log nEff Birth — the forecast made the moment the structure was born
Log θC Pend / Log θF Pend / Log P Pend / Log Sig Pend / Log nEff Pend — the pending-phase forecast carried into this break
Log Hit Birth / Log Hit Pend — each forecast graded 1 or 0 against the actual break
Log Acc Birth / Log Acc Pend — the running accuracy of each estimate type
This is the same door the development study walked through. Export the CSV from your own chart, open it in a spreadsheet, in Python, or hand it to an AI assistant — and audit every sentence the label has ever told you.
█ SETTINGS THAT STAY OUT OF YOUR WAY
The settings menu is deliberately small: the lookback window, a few visual choices — colors, transparency, border style, table position, label size and offset, how many past boxes to show — and simple on/off toggles. That is the whole surface, because everything statistical is computed live from the chart itself: the KDE bandwidth from Silverman's rule, the effective sample size from Kish's formula, significance from the posterior, the calibrated rate from the fading counters, the pending-phase model switching in and out on its own. There is nothing to tune, and that is by design. The five documented constants from the development study are the only fixed numbers in the machine.
█ ALERTS
Three alerts cover the estimate's life cycle: Signal turns up, Signal turns down, and Signal gets choppy. Each fires once, on entering its state, and reads only confirmed bars — so what fired is what you will still see on the closed candle. For custom thresholds, Probability UP and Probability DOWN are exposed as plots: build Crossing Up or Greater Than alerts on them directly in PulseWire's alert dialog, at any level you like, as many as you like. Recommended frequency: Once Per Bar Close.
█ SEVENTEEN LANGUAGES
The angle map, the anchor labels and the estimate label speak 17 languages: English, Türkçe, Deutsch, Italiano, Français, Español, Bahasa Indonesia, Bahasa Melayu, Ελληνικά, Русский, 中文, 日本語, 한국어, हिन्दी, العربية, فارسی and עברית. Right-to-left scripts — Arabic, Persian, Hebrew — mirror the table layout automatically. One honest limitation: input settings and alert messages stay in English, because Pine requires compile-time constant strings there.
█ WHAT THIS IS — AND WHAT IT IS NOT
GTL is a research and structural analysis tool. It measures the geometry of frozen price structures, keeps honest statistics about its own estimates, and shows you both — the raw number and the track record, side by side. It is not a trading system, its estimates are not trade signals, and nothing in this script or this description is financial advice. The calibrated rates describe what has already happened on your chart's own history; they are not a promise about the next bar. On the live candle, readings can change until the close — confirmed statistics and learning update on closed bars only.
Read it the way it was built to be read: as an instrument standing on the shore, measuring the storm. Indicator
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Indicator
NSE Indices ReBalancing & ReConstruction Days Plot This indicator is a specialized macro-timing tool built specifically for traders and investors operating in the Indian Equity Markets (NSE). It automatically calculates and projects the highly anticipated NSE Index Reconstruction and Rebalancing dates directly onto your chart, giving you months of advanced notice before major institutional flows hit the market.
Passive index funds, ETFs, and institutional players are mandated to adjust their portfolios to mirror changes in NSE indices (like the NIFTY 50, Bank Nifty, Midcap 150, etc.). These adjustments trigger billions of dollars in forced buying and selling, primarily during the closing auction of the Execution Day (the trading day immediately preceding the Effective Day). This script ensures you are never caught off guard by this engineered volatility.
What It Tracks
🔴 Reconstruction Days (March & September): Major structural changes to the indices. Companies are added or removed based on free-float market cap criteria. These days historically see the most extreme volume and volatility spikes.
🔵 Rebalancing Days (June & December): Routine adjustments to the weightages of existing index constituents. While constituents don't change, the weight adjustments still drive significant and predictable institutional block trades.
Key Features
Forward-Looking Projections: Automatically plots the next 4 upcoming events. It draws a shaded "Action Zone" spanning exactly from the Execution Day to the Effective Day.
Smart Visibility Controls: Keep your charts clean. You can restrict the indicator to only show on a specific symbol (defaulted to NSE:NIFTY) so it doesn't clutter your individual stock charts. You can also toggle visibility on/off for specific timeframes (Intraday, Daily, Weekly, Monthly).
Replay-Mode Safe: The symbol-matching logic is custom-built to survive PulseWire's Replay Mode quirks, ensuring your backtesting remains uninterrupted.
Advanced Holiday & Weekend Logic: Built-in logic skips weekends and recognizes NSE market holidays, ensuring the projected Execution Day strictly lands on a valid, active trading session.
Dynamic Auto-Cleanup: The zones automatically delete themselves from your chart exactly 24 hours after the Effective Day concludes, keeping your live workspace clutter-free.
Adaptive Labeling: Clear, dynamically sized text labels hover exactly 2% above the current closing price, preventing any interference with your price action candles or moving averages.
How to Use This in Your Trading
Option Sellers & Swing Traders: Identify these zones to avoid holding unhedged directional overnight positions or short straddles going into an Execution Day, protecting your capital against sudden gaps or IV crushes.
Momentum & Equity Traders: Look for front-running opportunities in the weeks leading up to Reconstruction days as the broader market anticipates specific stock inclusions or exclusions.
Intraday Traders: Prepare for potential liquidity drains in the morning session of Execution Days, followed by extreme, directionless volume spikes post-3:00 PM IST as passive funds execute their Market-On-Close (MOC) orders.
Settings & Customization
Visibility Settings: Enable/disable symbol filtering, set your target ticker, and toggle specific timeframes.
Label Settings: Adjust the label sizes (Tiny, Small, Normal, Large, Huge) to perfectly fit your specific screen resolution and chart layout.
Protect your portfolio from forced institutional flows and trade the volatility with precision. Indicator
Indicator
Indicator
Optimal Trade Entry + Silver Bullet [Quantum Algo]Optimal Trade Entry + Silver Bullet
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🔶 OVERVIEW
Optimal Trade Entry + Silver Bullet is an automated ICT-style Fibonacci retracement engine that combines the Optimal Trade Entry (OTE) concept with the three Silver Bullet time windows. The indicator confirms market structure through swing highs and swing lows, detects a break of structure, automatically anchors a Fibonacci grid to the impulse leg, and highlights the 61.8% to 79% retracement zone — the Optimal Trade Entry zone — as a gradient that intensifies toward the 70.5% sweet spot. Every zone tap is graded with a transparent confluence score built from time-of-day windows, fair value gaps, and liquidity sweeps.
The goal is simple: remove the two biggest sources of error in discretionary Optimal Trade Entry trading — anchoring the Fibonacci retracement to the wrong leg, and taking entries outside the hours when the model statistically performs.
🔶 WHAT IS THE OPTIMAL TRADE ENTRY ZONE?
The Optimal Trade Entry is a smart money concept describing the discount (in an uptrend) or premium (in a downtrend) portion of an impulse leg where institutional participants typically complete their entries after a trend has been confirmed. It is defined as the area between the 61.8% and 79% Fibonacci retracement of the most recent impulse, with the 70.5% level acting as the statistical sweet spot. Price retracing into this zone after a break of structure offers a defined-risk entry: the stop belongs beyond the origin of the leg, and the targets project into the extension levels beyond the impulse extreme.
🔶 WHAT ARE THE SILVER BULLET WINDOWS?
The Silver Bullet model restricts trading to three specific one-hour windows in New York time, when algorithmic price delivery is most likely to seek liquidity and fill fair value gaps:
- London Open window — 03:00 to 04:00
- New York Morning window — 10:00 to 11:00
- New York Afternoon window — 14:00 to 15:00
This indicator shades each window on intraday charts, labels the window open, and treats window activity as a scoring input: an Optimal Trade Entry tap that occurs inside an active window grades higher than one that occurs outside it.
🔶 WHY THIS SCRIPT IS ORIGINAL
1. Pivot-and-shift automatic anchoring. The Fibonacci grid is never drawn from arbitrary pivots and never requires manual anchoring. It appears only after price closes through a confirmed swing point — a genuine break of structure — and anchors to the true origin of the impulse leg.
2. Dynamic leg stretching. While the trend continues printing new highs or new lows, the grid stretches with the market in real time, so the retracement zone is always measured against the current, mathematically complete leg — not a stale one.
3. Time-based signal qualification. The Silver Bullet windows are not decorative background shading. They are wired directly into the signal engine and the grading model, which is what separates this tool from a standard Fibonacci retracement indicator.
4. Transparent confluence grading. Every signal receives a grade of A+, A, B, or C based on four observable, verifiable conditions: entry zone tap, active Silver Bullet window, directional fair value gap formed inside a window on the current leg, and a liquidity sweep at the leg origin (the anchor pivot running the stops beyond the pivot before it). Nothing is hidden, nothing is repainted, and nothing is curve-fit.
🔶 HOW IT WORKS
Market structure engine: Swing highs and swing lows are confirmed with a symmetric pivot lookback. A candle close above the last confirmed swing high shifts the engine bullish; a close below the last confirmed swing low shifts it bearish. All signals are evaluated on closed bars only, so entries do not repaint.
Fibonacci retracement grid: On each break of structure the impulse leg is measured from the anchor pivot to the running extreme. The script plots the origin (1.0), equilibrium (0.5), the entry zone borders (0.618 and 0.79), the sweet spot (0.705, dotted), the impulse extreme (0.0), and two target extensions (default -0.27 and -0.62).
Entry zone gradient: The zone between 0.618 and 0.79 renders as four stacked slices whose opacity increases toward the 0.705 sweet spot, giving an immediate visual read of where the highest-probability fill sits.
Fair value gap engine: Three-candle imbalances that clear a minimum size threshold (measured against average true range) are boxed on the chart. By default only gaps forming inside an active Silver Bullet window are drawn, and every gap grays out automatically once price mitigates it, keeping the chart clean.
Liquidity sweep detection: When the anchor pivot of a new leg trades through the pivot before it — sell-side liquidity taken before a bullish leg, or buy-side liquidity taken before a bearish leg — the setup is flagged as a sweep and grades higher.
Trade plan projection: When price taps the entry zone and passes the active filters, the script prints a graded signal marker plus Entry, Stop (beyond the leg origin with an average-true-range buffer), Target One, and Target Two, each labeled with its exact price.
Dashboard: A compact panel tracks directional bias, live retracement percentage, entry zone status, sweet spot price, the active Silver Bullet window, fair value gap confluence count, and liquidity sweep status at a glance.
🔶 HOW TO USE IT
1. Apply the indicator to an intraday chart. One-minute to fifteen-minute timeframes suit the Silver Bullet windows best; the Fibonacci engine itself works on any timeframe.
2. Wait for the dashboard bias to flip after a break of structure.
3. Let price retrace. The dashboard shows the live retracement percentage as price approaches the Optimal Trade Entry zone.
4. The strongest setups tap the gradient inside an active Silver Bullet window after a liquidity sweep, with a fair value gap in the direction of the leg — that is the A+ profile.
5. Use the printed Entry, Stop, and Target levels as reference geometry, then apply your own position sizing and risk management.
6. Tighten or relax the engine with the two signal filters: Require Active Silver Bullet Window and Require Fair Value Gap Confluence.
🔶 SETTINGS
- Swing Detection Length — pivot lookback controlling structure size; higher values track larger legs.
- Completed Setups To Keep, Fair Value Gaps To Keep, Trade Plans To Keep — cap how many historical drawings remain, so the chart stays clean and the auto-scale stays anchored to current price.
- Independent toggles for each Silver Bullet window, the Fibonacci grid, the zone gradient, equilibrium, targets, and the dashboard.
- Fully customizable colors and dashboard position.
🔶 ALERTS
- Bullish Optimal Trade Entry — price tapped the bullish zone and passed the active filters.
- Bearish Optimal Trade Entry — price tapped the bearish zone and passed the active filters.
- Silver Bullet Window Opened — one of the three windows just began.
🔶 FREQUENTLY ASKED QUESTIONS
Does the indicator repaint? Entries are evaluated on closed bars only. Swing pivots require confirmation by design, which introduces intentional lag but keeps historical signals fixed.
Which markets does it work on? Any symbol with candle data — cryptocurrency, forex, gold, indices, stocks, and futures. The Silver Bullet windows reference New York time regardless of your chart timezone.
Which timeframe is best? The Silver Bullet windows require an intraday chart (sixty minutes or below). The one-minute to fifteen-minute range is the classic application; the Optimal Trade Entry engine alone also functions on higher timeframes.
What does the grade mean? It is a count of observable confluences (zone tap, window, gap, sweep) — a transparency tool, not a win-rate prediction.
🔶 LIMITATIONS
Pivot confirmation is intentionally delayed by the swing length, so the engine describes confirmed structure rather than predicting it. Retracements can exceed the zone and invalidate the leg during strong counter-moves. Grades measure confluence, not probability of profit. No indicator replaces independent analysis.
🔶 DISCLAIMER
This script is provided strictly for educational and informational purposes. It is not financial advice, an investment recommendation, or a solicitation to buy or sell any financial instrument. Past behavior of any level, time window, or signal does not guarantee future results. Trading involves substantial risk. Always do your own research and manage risk independently. Indicator
