Indicateurs et stratégies
DJ's Macro Catch-Up (BTC/NDX Ratio)Calculates the BTC/NDX ratio and plots the ratio line (white line)
Highlights the Background in Green specifically when a Bullish Divergence forms (Ratio makes a Lower Low, but RSI makes a Higher Low).
Look for the Green Zones: Don't buy in the green zone blindly. Wait for the White Line (Ratio) to cross above the Yellow Line (50 EMA). That is your confirmation that the rotation has started.
EMA Exhaustion + ContinuationA fast, mechanical scalping system that detects EMA exhaustion, filters with RSI, and manages exits plus continuations.
This indicator is designed for ultra‑short timeframe scalping, where speed and clarity matter more than anything else. It combines three core elements into one mechanical workflow:
- EMA Spread Exhaustion
The system measures the distance between fast and slow EMAs relative to ATR. When the spread reaches extreme levels and then begins to contract, it signals exhaustion — the point where momentum is likely to stall or reverse. This gives traders a structural way to identify setups without relying on subjective “feel.”
- RSI Filter (Accelerated for Scalping)
A shortened RSI (default length 7) is normalized by ATR to match the tempo of 15‑second scalps. This filter ensures that entries only trigger when momentum aligns with the exhaustion signal, reducing false positives and keeping trades in sync with volatility.
- Entry, Exit, and Continuation Logic
- Entries:
- Long entry triggers when spread retreats, EMA‑3 crosses price, and RSI confirms bearish exhaustion (RSI < 0).
- Short entry triggers under the opposite conditions (spread retreat, EMA‑3 cross, RSI > 0).
- Icons: Blue arrow up for longs, Red arrow down for shorts.
- Exits:
- Long exits occur when price closes below the 7 EMA smoothed by SMA‑2 while all EMAs are still sloping upward.
- Icon: Yellow cross above the candle.
- Continuations:
- Long continuation triggers when price dips below EMA‑9 and then reclaims above it.
- Short continuation triggers when price closes above EMA‑9 and then reclaims below it.
- Icons: Green triangle up for long continuation, Purple triangle down for short continuation.
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- Apply the indicator to your chart. I use 15 second chart
- Watch for blue/red arrows — these are your primary entry signals.
- Respect yellow crosses — they mark mechanical exit points.
- Use green/purple triangles to re‑engage continuation trades after shallow pullbacks. I only take the first continuation signal above/below the 20 EMA.
- Keep the RSI filter active to avoid chasing false setups.
- Combine with your risk management rules (position sizing, stop placement) for full system integrity.
Hyperfork Matrix🔱 Hyperfork Matrix 🔱 A manual Andrews Pitchfork tool with action/reaction propagation lines and lattice matrix functionality. This indicator extends Dr. Alan Andrews' and Patrick Mikula's median line methodology by automating the projection of reaction and action lines at equidistant intervals, creating a time-price grid that highlights where pivot levels intersect the matrix.
Three pitchfork variants are supported: Original, Schiff, and Modified Schiff. Each variant adjusts the anchor point position to accommodate different trend angles.
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█ THE METHOD
Andrews Pitchfork
Dr. Alan Andrews developed the pitchfork as a trend channel tool. The core principle: price tends to return to the median line roughly 80% of the time. When it fails to reach the median, a reversal may be developing.
A pitchfork requires three pivot points:
• Point A — The anchor (starting pivot)
• Point B — First swing in the opposite direction
• Point C — Second swing, same direction as A
The median line runs from Point A through the midpoint of B-C. Parallel lines through B and C form the channel boundaries.
Action/Reaction Principle
Based on Newton's third law ("action and reaction are equal and opposite"), this principle suggests that price movements elicit proportional reactions in the future. By projecting lines at equal intervals along the pitchfork's slope, we anticipate where these reactions may occur.
Lattice Matrix
The lattice squares pivot price levels to the matrix structure. A horizontal from your selected pivot intersects the pitchfork and propagation lines, with verticals drawn at each intersection. These verticals mark time points where price-time geometry converges—potential areas to watch for trend changes.
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█ HOW THE INDICATOR WORKS
This section explains the calculation flow from your inputs to the final drawing.
Step 1 — Pivot Selection
You click on the chart to select three timestamps. The indicator retrieves the high or low price at each timestamp based on your starting pivot type selection:
• Starting with "Low" creates a Low-High-Low pattern
• Starting with "High" creates a High-Low-High pattern
Step 2 — Anchor Calculation
The anchor position depends on your pitchfork variant:
• Original — Anchor stays at Point A
• Schiff — Anchor shifts 50% toward B in price (Y-axis only)
• Modified Schiff — Anchor shifts 50% toward B in both time and price
Step 3 — Median Line
A line is drawn from the anchor through the midpoint of the B-C segment. This median line defines the channel's slope and center.
Step 4 — Parallel Tines
Parallel lines are drawn through Points B and C, maintaining the median line's slope. These form the upper and lower channel boundaries.
Step 5 — Extra Parallels
If configured, additional parallel lines are drawn at equal spacing beyond B and C. The spacing equals the distance from the median to each tine.
Step 6 — Handle Length
The "handle" is the segment from the anchor to the B-C midpoint. This length becomes the unit of measurement for propagation.
Step 7 — Propagation Points
Points are placed along the median line at handle-length intervals:
• Forward points extend into the future
• Backward points extend into the past
Step 8 — Reaction Lines
Through each propagation point, a line is drawn parallel to B-C (the transversal slope). These reaction lines mark time-price zones based on the original swing rhythm, where trend changes may occur.
Step 9 — Action Lines
Through each propagation point, a line is drawn parallel to A-B (the initial move slope). These action lines project the original momentum into future price zones.
Step 10 — Lattice Grid
If enabled, a horizontal line is drawn at the price level of your selected pivot. Vertical lines are then drawn at every intersection between this horizontal and the selected line type (pitchfork, reaction, or action lines).
Step 11 — Alert Monitoring
On each bar, the indicator checks if the price has crossed any of the drawn lines. Crossings trigger alerts based on your configuration.
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█ PITCHFORK VARIANTS
Original (Andrews)
The classic pitchfork. The anchor remains at Point A. Best suited for strong trending markets where price respects steep channels.
Schiff
Named after Jerome Schiff, a student of Andrews. The anchor shifts halfway toward Point B in price only—same time position as A, but price is the midpoint of A and B.
This produces a less steep channel, better suited for:
• Shallow trends
• Corrective phases
• Markets where the original pitchfork angle is too aggressive
Modified Schiff
The anchor shifts halfway toward Point B in both time and price—positioned at the midpoint of the A-B segment.
This creates an even gentler slope than the standard Schiff variant. Use when:
• Trends are weak or ranging
• Price doesn't respect steeper channel angles
• You need a middle ground between Original and Schiff
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█ ACTION & REACTION LINES
Reaction Lines
These run parallel to the B-C segment (the "transversal"). They represent the market's response rhythm—the swing from B to C sets a pattern that may repeat at predictable intervals.
Action Lines
These run parallel to the A-B segment (the initial impulse). They project the original momentum forward, suggesting where similar price movements may begin or end.
Forward vs Backward
• Forward Lines — Project into the future beyond the B-C midpoint
• Backward Lines — Project into the past before Point A
Most analysis focuses on forward lines, but backward lines can reveal historical confluence with past pivots.
Propagation Spacing
Lines are spaced at equal intervals defined by the handle length (anchor to B-C midpoint). This creates a rhythmic structure where each segment equals the original pitchfork's core measurement.
Action Lines
Reaction Lines
Extra Parallels with/ both Action & Reactions Line extended within the grid
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█ LATTICE MATRIX
The lattice creates a grid overlay within the pitchfork structure.
Horizontal Line
A horizontal line is drawn at the price level of your selected pivot (A, B, or C). This squares the pivot's price level to find where it aligns with the matrix structure. These confluences may represent higher-probability reaction points in time.
Vertical Lines
Vertical lines are drawn at every point where the horizontal intersects your selected line source. These verticals mark time points—potential areas to watch for trend changes.
• Pitchfork & Parallels — Intersections with median and all parallel tines
• Action Lines — Intersections with action transversals
• Reaction Lines — Intersections with reaction transversals
• Action & Reaction — Both types combined
Envelope Clamping
Lattice lines are automatically clamped to stay within the pitchfork's channel envelope (bounded by the outermost parallels). This keeps the grid visually clean and focused on relevant areas.
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█ ALERTS
The indicator monitors price crossings and triggers alerts when the price moves through any drawn line type.
Available Alert Types
• Pitchfork Lines — Crossing the median or any parallel
• Action Lines — Crossing any action transversal (when action lines are drawn)
• Reaction Lines — Crossing any reaction transversal (when reaction lines are drawn)
• Lattice Horizontal — Crossing the horizontal price level (when lattice is enabled)
• Any Line Crossing — Combined alert for all of the above
Setting Up Alerts
1. Right-click on the indicator or use the alert menu
2. Select "Create Alert."
3. Choose the desired condition from the dropdown
4. Configure notification preferences (pop-up, email, webhook, etc.)
Alert Timing
Alerts trigger once per bar close when a crossing is detected between the previous and current bar's close prices.
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█ HOW TO USE
Basic Setup
1. Add the indicator to your chart
2. When prompted, click on three pivot points in sequence: A, B, C
3. Choose starting pivot type: Auto (detects pattern), Low (LHL), or High (HLH)
4. The pitchfork draws automatically
Adjusting the Pitchfork
• Change the variant (Original/Schiff/Modified Schiff) if the angle doesn't suit your trend
• Add extra parallel levels to see where price might react beyond the main channel
• Disable or Adjust price range min/max to hide parallels outside your focus area
Adding Propagation Lines
• Adjust forward offset to add/remove lines beyond auto-extend (0 = to current bar)
• Choose which line types to display: Reaction Only, Action Only, or Both
• Customize colors to distinguish line types visually
Using the Lattice
• Enable "Draw Lattice" in the Lattice settings group
• Select which pivot's price level to use for the horizontal
• Choose the intersection source that matches your analysis style
• Look for time zones where verticals cluster—these may be significant dates
Log Scale Charts
If your chart uses logarithmic scale, enable "Logarithmic Scale" in Pitchfork Settings. This ensures all calculations transform correctly for log price axes.
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█ SETTINGS REFERENCE
1. Pivot Points
• Starting Pivot Type — Auto (detect pattern), Low (force LHL), or High (force HLH)
• Pivot A/B/C Time — Timestamps for your three pivots (click to select)
• Show Pivot Labels — Display A, B, C labels at pivot locations
• Pivot Colors — Customize high/low label colors
• Label Size — Tiny, Small, Normal, or Large
2. Pitchfork Settings
• Logarithmic Scale — Enable for log charts
• Pitchfork Type — Original, Schiff, or Modified Schiff
• Extra Parallel Levels — Additional parallels beyond B and C
• Line styling (color, width, style)
• Extend Direction — Right only or Both directions
• Enable Price Range Filter — Toggle filtering of extra parallels
• Price Range Min/Max — Hide extra parallels outside this range
3. Action / Reaction Lines
• Draw Type — None, Reaction Only, Action Only, or Both
• Forward Lines Offset — Adjust from auto-extend (0 = to current bar, positive adds more)
• Backward Lines Count — Number of lines projected before Point A
• Separate styling for reaction and action lines
4. Lattice
• Draw Lattice — Master toggle
• Select Pivot for Horizontal — A, B, or C price level
• Intersection Source — Which lines to use for vertical placement
• Lattice styling
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█ LIMITATIONS
• Maximum 500 lines — TradingView limits line objects; complex setups with many parallels and propagation lines may approach this limit
• Manual pivot selection — Pivots must be selected manually via timestamp inputs; no auto-detection
• Log scale requires toggle — You must enable "Logarithmic Scale" manually if your chart uses log axes
• Minor visual drift — Action/Reaction lines may shift slightly when toggling between odd and even extra parallel counts (cosmetic only)
• Backward lines visibility — When adding backward propagation lines, you may need to scroll the chart left for them to render
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█ FURTHER READING
For deeper study of pitchfork analysis and action/reaction methodology:
• Patrick Mikula's "The Best Trendline Methods of Alan Andrews and Five New Trendline Techniques"
No affiliation implied. Referenced for educational context only.
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█ RELATED
For a video walkthrough of the Super Pitchfork methodology that inspired this indicator:
How to Build a Super Pitchfork with Reaction & Trigger Lines
This tutorial covers manual pitchfork construction, reaction line projection, and timing techniques.
RDI Price ZonesOverview
RDI Price Zones is a manual price-level visualization indicator.
It draws user-defined horizontal zones and a reference line to help visually organize important price areas on the chart.
This script does not calculate, infer, or fetch market data.
All levels are entered manually by the user.
What it draws
• Reference Line — A horizontal line at a user-defined price level.
• Upper Zones — Rectangular price areas drawn to the right of the chart.
• Lower Zones — Rectangular price areas drawn to the left of the chart.
These elements are purely visual and do not generate signals.
Inputs
• Up to three upper zone price levels (manual input).
• Up to three lower zone price levels (manual input).
• One reference price level.
• Zone thickness defined as a percentage of price.
• Optional color and border settings.
Design notes
• Zones are drawn as rectangles anchored to price levels.
• Rectangles extend a fixed number of bars for visualization purposes only.
• Percentage-based thickness allows zones to scale across different instruments.
Usage
This indicator is intended to help users visually map predefined price areas during a session.
It does not predict price movement, suggest trades, or provide trading signals.
Disclaimer
This script is provided for educational and visualization purposes only.
It does not offer trading advice, does not guarantee results, and should not be used as the sole basis for trading decisions.
Short summary (≤200 chars)
Manual price-zone visualization tool. Draws user-defined rectangular zones and a reference line. No calculations, no signals, no predictions. Educational use only.
VWAP Pullback + EMA Stack + SAR (TIGHT) PROFIT LOCKVWAP Script with all kinds of toggles and settings please use it and play around with it.
SA CloudRegimes GC.5min 1.12.2026 OVERNIGHTSignal Architect™ — Developer Note
These daily posts are intentional.
They are designed to help potential users visually observe consistency—not just in outcomes, but in process—across multiple futures products, market conditions, and timeframes, using the Stop Hunt Indicator alongside my proprietary Signal Architect™ framework.
The goal is simple:
To show how structure, behavior, and probability repeat—every day—despite a constantly changing market.
If you follow these posts over time, you will begin to recognize that:
• The same behaviors appear across different futures contracts
• The same reactions occur on multiple timeframes
• The same structural traps and stop events repeat regardless of volatility regime
That consistency is not coincidence.
Consistency is the signal.
Over time, that consistency should become familiar—
and familiarity should become your edge.
________________________________________
🧠 What You’re Seeing (And Why It Matters)
This indicator includes a limited visual preview of a proprietary power signal I have personally developed and refined across:
• Futures
• Algorithmic trading systems
• Options structure
• Equity market behavior
Every tool I release is built around one core principle:
Clarity of direction without over-promising or over-fitting.
That is why all Signal Architect™ tools emphasize:
• Market structure first
• High-probability directional context
• Clear, visual risk framing
• No predictive claims
• No curve-fit illusions
What you see publicly is not the full system—only controlled, educational previews meant to demonstrate how structure and probability align in real markets.
________________________________________
📊 Background & Scope
Over the years, I have personally developed 800+ programs, including:
• Equity systems
• Futures strategies
• Options structure tools
• Dividend & income frameworks
• Portfolio construction and allocation logic
This includes 40+ Nasdaq-100 trading bots, several operating under extremely strict rule-sets and controlled deployment conditions.
Nothing shared publicly represents my complete internal framework.
Public posts exist for education, observation, and pattern recognition—not signals, not advice, and not promises.
________________________________________
🤝 For Those Who Find Value
If these daily posts help you see the market more clearly:
• Follow, boost, and share my scripts, Ideas, and MINDS posts
• Feel free to message me directly with questions or build requests
• Constructive feedback and collaboration are always welcome
For traders who want to go deeper, optional memberships may include:
• Additional signal access
• Early previews
• Occasional free tools and upgrades
🔗 Membership & Signals:
trianchor.gumroad.com
________________________________________
⚠️ Final Note
Everything published publicly is educational and analytical only.
Markets carry risk.
Discipline, patience, and risk management always come first.
Watch the consistency.
Study the structure.
Let the market repeat itself.
— Signal Architect™
________________________________________
🔗 Personally Developed GPT Tools
• AuctionFlow GPT
chatgpt.com
• Signal Architect™ Gamma Desk – Market Intelligence
chatgpt.com
• Gamma Squeeze Watchtower™
chatgpt.com
SA CloudRegimes + HLC3 Reclaim + CONF% (VWAP Always-On)
Purpose:
This is a market-regime + trigger engine. It paints cloud zones to show what the market is doing (expanding vs contracting, bullish vs bearish) and then fires reclaim signals when price confirms continuation via HLC3 reclaim + wick reclaim behavior.
What makes it different
VWAP is always enforced (session VWAP when available; otherwise a rolling VWAP proxy).
It separates regime (cloud) from execution (signal).
It gives a real-time confirmation score (CONF%) so you can filter out low-quality setups.
1) The 4 Cloud Zones (Regimes)
Each cloud represents a behavioral state. You don’t “guess direction” inside the cloud — you use the cloud to understand what kind of market you’re in, then you wait for the reclaim trigger.
🟩 GREEN Cloud — Bullish Expansion (Uptrend continuation)
Meaning: Trend is aligned and volatility/energy is expanding upward.
Conditions (conceptually):
Trend stack bullish: SMA3 > SMA8 > SMA20 > SMA50
Price above VWAP
Momentum/pressure supportive: W%R bullish, PFE bullish
Range behavior indicates expansion
How to trade it:
Best for: continuation longs
Wait for: Bull reclaim trigger (triangle up) to enter
Risk: false continuation late in the move (use CONF% + wick gate)
💗 PINK Cloud — Bearish Contraction in an Uptrend (Bull pullback / hedge phase)
Meaning: The market is still in an uptrend, but it is pulling back and compressing (often a hedge/unwind pause before continuation).
Conditions:
Trend still bullish (uptrend stack)
Price remains above VWAP
W%R is oversold, PFE weak → indicating pullback pressure
Range indicates contraction
How to trade it:
Best for: “buy-the-pullback” continuation
Wait for: Bull reclaim trigger after the pullback stabilizes
This is your “reload zone” — don’t long blindly; let reclaim confirm.
🟥 RED Cloud — Bearish Expansion (Downtrend continuation)
Meaning: Trend is aligned bearish and volatility/energy is expanding downward.
Conditions:
Trend stack bearish: SMA3 < SMA8 < SMA20 < SMA50
Price below VWAP
W%R oversold + PFE weak/negative
Range behavior indicates expansion
How to trade it:
Best for: continuation shorts
Wait for: Bear reclaim trigger (triangle down) to enter
Risk: late-stage selling → use CONF% + wick gate.
🟩 (Light Green) Cloud — Bullish Contraction in a Downtrend (Bear pullback / bounce phase)
Meaning: The market is still in a downtrend, but it’s bouncing and compressing (often the pause before continuation lower).
Conditions:
Downtrend stack remains intact
Price remains below VWAP
W%R improving / PFE stabilizing
Range indicates contraction
How to trade it:
Best for: sell-the-bounce continuation
Wait for: Bear reclaim trigger to confirm the bounce is ending.
2) Zone Signals (G / P / R / LG markers)
These are zone-entry markers that fire only on the first bar when a zone turns on.
G = Green Zone started (bull expansion)
P = Pink Zone started (bear contraction inside uptrend)
R = Red Zone started (bear expansion)
LG = Light Green Zone started (bull contraction inside downtrend)
How to use them:
These are context markers, not trade entries.
They tell you: “We just entered a new regime. Now wait for reclaim.”
3) The Actual Trade Triggers: “Reclaim” Signals (RECL triangles)
The triangle “RECL” signals are your execution triggers.
Bull Reclaim (Triangle Up)
Fires only when the system believes the market is in a bullish regime (Green or Pink) and then sees:
A bull candle
A cross back above HLC3
A prior-bar reclaim wick (optional but recommended)
Interpretation:
Pullback resolved → price reclaimed balance (HLC3) → continuation likely.
Bear Reclaim (Triangle Down)
Fires only when the system believes the market is in a bearish regime (Red or Light Green) and then sees:
A bear candle
A cross back below HLC3
A prior-bar reclaim wick (optional)
Interpretation:
Bounce resolved → price lost balance (HLC3) → continuation lower likely.
4) CONF% Bubble (Real-Time Probability Filter)
Whenever a reclaim signal fires, the script calculates a confirmation score (0–100) using weighted factors:
Trend alignment
VWAP alignment
Zone alignment
HLC3 reclaim cross
Wick reclaim gate (if enabled)
W%R alignment
PFE alignment
Default filter
Bubble only prints if CONF% ≥ 40%
You can raise it if you want fewer, cleaner trades:
50–60% = fewer but higher quality
70%+ = very selective
How to use CONF% properly
It’s not “win rate.”
It’s a confluence meter: “How many of my conditions are aligned right now?”
Use it as a trade permission layer.
5) Recommended Workflow (The Correct Way)
Step 1 — Identify the active cloud
Green/ Pink = you’re looking for long continuation
Red/ Light Green = you’re looking for short continuation
Step 2 — Let the pullback finish
Pink and Light Green are pullback/bounce phases.
Don’t jump in — wait.
Step 3 — Take ONLY reclaim triggers
Triangle up/down is your “go” signal.
Step 4 — Use CONF% to filter
If CONF% is low, skip.
If CONF% is strong, you have confluence.
6) Best Timeframes (Practical)
This tool works on many charts, but it shines where regimes develop clearly.
Best (most stable)
15m
1H
2H
4H
Faster (more signals, more noise)
3m / 5m can work, but you’ll need:
tighter tickSize accuracy
slightly looser thresholds
higher CONF% filtering
7) Key Settings You’ll Actually Adjust
If you don’t see many clouds on a timeframe:
Lower pfeBullThresh (ex: 35 → 30)
Lower expansionMin (60 → 55)
Raise contractionMax (35 → 40)
If you see too many weak signals:
Raise minConfirmPct (40 → 50/60)
Keep usePrevWickGate = true
8) Simple Interpretation Cheat Sheet
Green: bull continuation environment → wait for bull reclaim
Pink: pullback in bull trend → best “reload” → wait for bull reclaim
Red: bear continuation environment → wait for bear reclaim
Light Green: bounce in bear trend → best “sell bounce” → wait for bear reclaim
SVE Pivot Points v5//@version=6
indicator(title="SVE Pivot Points", overlay=true, max_lines_count=500)
// Input Parameters
agg_period = input.timeframe("D", title="Aggregation period")
show_labels = input.bool(true, title="Show Labels")
line_width = input.int(1, title="Line Width", minval=1, maxval=4)
// Detect new aggregation period
bool new_agg_bar = bool(ta.change(time(agg_period)))
// Calculate how many chart bars fit in one aggregation period
get_bars_in_period(string tf) =>
tf_secs = timeframe.in_seconds(tf)
chart_secs = timeframe.in_seconds(timeframe.period)
// If aggregation period is smaller than or equal to chart timeframe, use 1 bar
// Otherwise calculate how many chart bars fit
math.max(1, int(math.ceil(tf_secs / chart_secs)))
bars_in_period = get_bars_in_period(agg_period)
// Fetch previous period's high, low, close
ph = request.security(syminfo.tickerid, agg_period, high , barmerge.gaps_off, barmerge.lookahead_on)
pl = request.security(syminfo.tickerid, agg_period, low , barmerge.gaps_off, barmerge.lookahead_on)
pc = request.security(syminfo.tickerid, agg_period, close , barmerge.gaps_off, barmerge.lookahead_on)
// Calculate pivot points
pp = (ph + pl + pc) / 3
r1 = 2 * pp - pl
r2 = pp + (ph - pl)
r3 = 2 * pp + (ph - 2 * pl)
s1 = 2 * pp - ph
s2 = pp - (ph - pl)
s3 = 2 * pp - (2 * ph - pl)
// Calculate mean levels
r1m = (pp + r1) / 2
r2m = (r1 + r2) / 2
r3m = (r2 + r3) / 2
s1m = (pp + s1) / 2
s2m = (s1 + s2) / 2
s3m = (s2 + s3) / 2
// Previous high and low
hh = ph
ll = pl
// Colors
color_r = color.red
color_s = color.green
color_pp = color.blue
color_hl = color.gray
// Arrays to store historical lines (for showing past periods)
var line lines_r3 = array.new_line()
var line lines_r3m = array.new_line()
var line lines_r2 = array.new_line()
var line lines_r2m = array.new_line()
var line lines_r1 = array.new_line()
var line lines_r1m = array.new_line()
var line lines_hh = array.new_line()
var line lines_pp = array.new_line()
var line lines_ll = array.new_line()
var line lines_s1m = array.new_line()
var line lines_s1 = array.new_line()
var line lines_s2m = array.new_line()
var line lines_s2 = array.new_line()
var line lines_s3m = array.new_line()
var line lines_s3 = array.new_line()
// Current period labels (only show for current period)
var label lbl_r3 = na
var label lbl_r3m = na
var label lbl_r2 = na
var label lbl_r2m = na
var label lbl_r1 = na
var label lbl_r1m = na
var label lbl_hh = na
var label lbl_pp = na
var label lbl_ll = na
var label lbl_s1m = na
var label lbl_s1 = na
var label lbl_s2m = na
var label lbl_s2 = na
var label lbl_s3m = na
var label lbl_s3 = na
// Track current period start
var int current_period_start = 0
// On new aggregation period, create new lines
if new_agg_bar
current_period_start := bar_index
// Create lines for this period - they start here and will be extended
array.push(lines_r3, line.new(bar_index, r3, bar_index + bars_in_period, r3, color=color_r, width=line_width))
array.push(lines_r3m, line.new(bar_index, r3m, bar_index + bars_in_period, r3m, color=color_r, width=line_width))
array.push(lines_r2, line.new(bar_index, r2, bar_index + bars_in_period, r2, color=color_r, width=line_width))
array.push(lines_r2m, line.new(bar_index, r2m, bar_index + bars_in_period, r2m, color=color_r, width=line_width))
array.push(lines_r1, line.new(bar_index, r1, bar_index + bars_in_period, r1, color=color_r, width=line_width))
array.push(lines_r1m, line.new(bar_index, r1m, bar_index + bars_in_period, r1m, color=color_r, width=line_width))
array.push(lines_hh, line.new(bar_index, hh, bar_index + bars_in_period, hh, color=color_hl, width=line_width))
array.push(lines_pp, line.new(bar_index, pp, bar_index + bars_in_period, pp, color=color_pp, width=line_width))
array.push(lines_ll, line.new(bar_index, ll, bar_index + bars_in_period, ll, color=color_hl, width=line_width))
array.push(lines_s1m, line.new(bar_index, s1m, bar_index + bars_in_period, s1m, color=color_s, width=line_width))
array.push(lines_s1, line.new(bar_index, s1, bar_index + bars_in_period, s1, color=color_s, width=line_width))
array.push(lines_s2m, line.new(bar_index, s2m, bar_index + bars_in_period, s2m, color=color_s, width=line_width))
array.push(lines_s2, line.new(bar_index, s2, bar_index + bars_in_period, s2, color=color_s, width=line_width))
array.push(lines_s3m, line.new(bar_index, s3m, bar_index + bars_in_period, s3m, color=color_s, width=line_width))
array.push(lines_s3, line.new(bar_index, s3, bar_index + bars_in_period, s3, color=color_s, width=line_width))
// Delete old labels and create new ones
if show_labels
label.delete(lbl_r3)
label.delete(lbl_r3m)
label.delete(lbl_r2)
label.delete(lbl_r2m)
label.delete(lbl_r1)
label.delete(lbl_r1m)
label.delete(lbl_hh)
label.delete(lbl_pp)
label.delete(lbl_ll)
label.delete(lbl_s1m)
label.delete(lbl_s1)
label.delete(lbl_s2m)
label.delete(lbl_s2)
label.delete(lbl_s3m)
label.delete(lbl_s3)
lbl_r3 := label.new(bar_index + bars_in_period, r3, "R3", style=label.style_label_left, color=color.new(color_r, 100), textcolor=color_r, size=size.small)
lbl_r3m := label.new(bar_index + bars_in_period, r3m, "R3M", style=label.style_label_left, color=color.new(color_r, 100), textcolor=color_r, size=size.small)
lbl_r2 := label.new(bar_index + bars_in_period, r2, "R2", style=label.style_label_left, color=color.new(color_r, 100), textcolor=color_r, size=size.small)
lbl_r2m := label.new(bar_index + bars_in_period, r2m, "R2M", style=label.style_label_left, color=color.new(color_r, 100), textcolor=color_r, size=size.small)
lbl_r1 := label.new(bar_index + bars_in_period, r1, "R1", style=label.style_label_left, color=color.new(color_r, 100), textcolor=color_r, size=size.small)
lbl_r1m := label.new(bar_index + bars_in_period, r1m, "R1M", style=label.style_label_left, color=color.new(color_r, 100), textcolor=color_r, size=size.small)
lbl_hh := label.new(bar_index + bars_in_period, hh, "HH", style=label.style_label_left, color=color.new(color_hl, 100), textcolor=color_hl, size=size.small)
lbl_pp := label.new(bar_index + bars_in_period, pp, "PP", style=label.style_label_left, color=color.new(color_pp, 100), textcolor=color_pp, size=size.small)
lbl_ll := label.new(bar_index + bars_in_period, ll, "LL", style=label.style_label_left, color=color.new(color_hl, 100), textcolor=color_hl, size=size.small)
lbl_s1m := label.new(bar_index + bars_in_period, s1m, "S1M", style=label.style_label_left, color=color.new(color_s, 100), textcolor=color_s, size=size.small)
lbl_s1 := label.new(bar_index + bars_in_period, s1, "S1", style=label.style_label_left, color=color.new(color_s, 100), textcolor=color_s, size=size.small)
lbl_s2m := label.new(bar_index + bars_in_period, s2m, "S2M", style=label.style_label_left, color=color.new(color_s, 100), textcolor=color_s, size=size.small)
lbl_s2 := label.new(bar_index + bars_in_period, s2, "S2", style=label.style_label_left, color=color.new(color_s, 100), textcolor=color_s, size=size.small)
lbl_s3m := label.new(bar_index + bars_in_period, s3m, "S3M", style=label.style_label_left, color=color.new(color_s, 100), textcolor=color_s, size=size.small)
lbl_s3 := label.new(bar_index + bars_in_period, s3, "S3", style=label.style_label_left, color=color.new(color_s, 100), textcolor=color_s, size=size.small)
// On the last bar, update the current period's lines to extend properly into the future
if barstate.islast and array.size(lines_pp) > 0
// Get the most recent lines
line last_r3 = array.get(lines_r3, array.size(lines_r3) - 1)
line last_r3m = array.get(lines_r3m, array.size(lines_r3m) - 1)
line last_r2 = array.get(lines_r2, array.size(lines_r2) - 1)
line last_r2m = array.get(lines_r2m, array.size(lines_r2m) - 1)
line last_r1 = array.get(lines_r1, array.size(lines_r1) - 1)
line last_r1m = array.get(lines_r1m, array.size(lines_r1m) - 1)
line last_hh = array.get(lines_hh, array.size(lines_hh) - 1)
line last_pp = array.get(lines_pp, array.size(lines_pp) - 1)
line last_ll = array.get(lines_ll, array.size(lines_ll) - 1)
line last_s1m = array.get(lines_s1m, array.size(lines_s1m) - 1)
line last_s1 = array.get(lines_s1, array.size(lines_s1) - 1)
line last_s2m = array.get(lines_s2m, array.size(lines_s2m) - 1)
line last_s2 = array.get(lines_s2, array.size(lines_s2) - 1)
line last_s3m = array.get(lines_s3m, array.size(lines_s3m) - 1)
line last_s3 = array.get(lines_s3, array.size(lines_s3) - 1)
// Calculate end point: period start + bars in period
int end_bar = current_period_start + bars_in_period
// Update line endpoints
line.set_x2(last_r3, end_bar)
line.set_x2(last_r3m, end_bar)
line.set_x2(last_r2, end_bar)
line.set_x2(last_r2m, end_bar)
line.set_x2(last_r1, end_bar)
line.set_x2(last_r1m, end_bar)
line.set_x2(last_hh, end_bar)
line.set_x2(last_pp, end_bar)
line.set_x2(last_ll, end_bar)
line.set_x2(last_s1m, end_bar)
line.set_x2(last_s1, end_bar)
line.set_x2(last_s2m, end_bar)
line.set_x2(last_s2, end_bar)
line.set_x2(last_s3m, end_bar)
line.set_x2(last_s3, end_bar)
// Update label positions
if show_labels
label.set_x(lbl_r3, end_bar)
label.set_x(lbl_r3m, end_bar)
label.set_x(lbl_r2, end_bar)
label.set_x(lbl_r2m, end_bar)
label.set_x(lbl_r1, end_bar)
label.set_x(lbl_r1m, end_bar)
label.set_x(lbl_hh, end_bar)
label.set_x(lbl_pp, end_bar)
label.set_x(lbl_ll, end_bar)
label.set_x(lbl_s1m, end_bar)
label.set_x(lbl_s1, end_bar)
label.set_x(lbl_s2m, end_bar)
label.set_x(lbl_s2, end_bar)
label.set_x(lbl_s3m, end_bar)
label.set_x(lbl_s3, end_bar)
// Limit array sizes to prevent memory issues (keep last 100 periods)
max_lines = 100
if array.size(lines_pp) > max_lines
line.delete(array.shift(lines_r3))
line.delete(array.shift(lines_r3m))
line.delete(array.shift(lines_r2))
line.delete(array.shift(lines_r2m))
line.delete(array.shift(lines_r1))
line.delete(array.shift(lines_r1m))
line.delete(array.shift(lines_hh))
line.delete(array.shift(lines_pp))
line.delete(array.shift(lines_ll))
line.delete(array.shift(lines_s1m))
line.delete(array.shift(lines_s1))
line.delete(array.shift(lines_s2m))
line.delete(array.shift(lines_s2))
line.delete(array.shift(lines_s3m))
line.delete(array.shift(lines_s3))
Signal Architect Stop-Hunt Signal Architect™ — Developer Note
These daily posts are intentional.
They are designed to help potential users visually observe consistency—not just in outcomes, but in process—across multiple futures products, market conditions, and timeframes, using the Stop Hunt Indicator alongside my proprietary Signal Architect™ framework.
The goal is simple:
To show how structure, behavior, and probability repeat—every day—despite a constantly changing market.
If you follow these posts over time, you will begin to recognize that:
• The same behaviors appear across different futures contracts
• The same reactions occur on multiple timeframes
• The same structural traps and stop events repeat regardless of volatility regime
That consistency is not coincidence.
Consistency is the signal.
Over time, that consistency should become familiar—
and familiarity should become your edge.
________________________________________
🧠 What You’re Seeing (And Why It Matters)
This indicator includes a limited visual preview of a proprietary power signal I have personally developed and refined across:
• Futures
• Algorithmic trading systems
• Options structure
• Equity market behavior
Every tool I release is built around one core principle:
Clarity of direction without over-promising or over-fitting.
That is why all Signal Architect™ tools emphasize:
• Market structure first
• High-probability directional context
• Clear, visual risk framing
• No predictive claims
• No curve-fit illusions
What you see publicly is not the full system—only controlled, educational previews meant to demonstrate how structure and probability align in real markets.
________________________________________
📊 Background & Scope
Over the years, I have personally developed 800+ programs, including:
• Equity systems
• Futures strategies
• Options structure tools
• Dividend & income frameworks
• Portfolio construction and allocation logic
This includes 40+ Nasdaq-100 trading bots, several operating under extremely strict rule-sets and controlled deployment conditions.
Nothing shared publicly represents my complete internal framework.
Public posts exist for education, observation, and pattern recognition—not signals, not advice, and not promises.
________________________________________
🤝 For Those Who Find Value
If these daily posts help you see the market more clearly:
• Follow, boost, and share my scripts, Ideas, and MINDS posts
• Feel free to message me directly with questions or build requests
• Constructive feedback and collaboration are always welcome
For traders who want to go deeper, optional memberships may include:
• Additional signal access
• Early previews
• Occasional free tools and upgrades
🔗 Membership & Signals:
trianchor.gumroad.com
________________________________________
⚠️ Final Note
Everything published publicly is educational and analytical only.
Markets carry risk.
Discipline, patience, and risk management always come first.
Watch the consistency.
Study the structure.
Let the market repeat itself.
— Signal Architect™
________________________________________
🔗 Personally Developed GPT Tools
• AuctionFlow GPT
chatgpt.com
• Signal Architect™ Gamma Desk – Market Intelligence
chatgpt.com
• Gamma Squeeze Watchtower™
chatgpt.com
Signal Architect Stop-Hunt ProxySignal Architect™ — Developer Note
These daily posts are intentional.
They are designed to help potential users visually observe consistency—not just in outcomes, but in process—across multiple futures products, market conditions, and timeframes, using the Stop Hunt Indicator alongside my proprietary Signal Architect™ framework.
The goal is simple:
To show how structure, behavior, and probability repeat—every day—despite a constantly changing market.
If you follow these posts over time, you will begin to recognize that:
The same behaviors appear across different futures contracts
The same reactions occur on multiple timeframes
The same structural traps and stop events repeat regardless of volatility regime
That consistency is not coincidence.
Consistency is the signal.
Over time, that consistency should become familiar—
and familiarity should become your edge.
🧠 What You’re Seeing (And Why It Matters)
This indicator includes a limited visual preview of a proprietary power signal I have personally developed and refined across:
Futures
Algorithmic trading systems
Options structure
Equity market behavior
Every tool I release is built around one core principle:
Clarity of direction without over-promising or over-fitting.
That is why all Signal Architect™ tools emphasize:
Market structure first
High-probability directional context
Clear, visual risk framing
No predictive claims
No curve-fit illusions
What you see publicly is not the full system—only controlled, educational previews meant to demonstrate how structure and probability align in real markets.
📊 Background & Scope
Over the years, I have personally developed 800+ programs, including:
Equity systems
Futures strategies
Options structure tools
Dividend & income frameworks
Portfolio construction and allocation logic
This includes 40+ Nasdaq-100 trading bots, several operating under extremely strict rule-sets and controlled deployment conditions.
Nothing shared publicly represents my complete internal framework.
Public posts exist for education, observation, and pattern recognition—not signals, not advice, and not promises.
🤝 For Those Who Find Value
If these daily posts help you see the market more clearly:
Follow, boost, and share my scripts, Ideas, and MINDS posts
Feel free to message me directly with questions or build requests
Constructive feedback and collaboration are always welcome
For traders who want to go deeper, optional memberships may include:
Additional signal access
Early previews
Occasional free tools and upgrades
🔗 Membership & Signals:
trianchor.gumroad.com
⚠️ Final Note
Everything published publicly is educational and analytical only.
Markets carry risk.
Discipline, patience, and risk management always come first.
Watch the consistency.
Study the structure.
Let the market repeat itself.
— Signal Architect™
🔗 Personally Developed GPT Tools
AuctionFlow GPT
chatgpt.com
Signal Architect™ Gamma Desk – Market Intelligence
chatgpt.com
Gamma Squeeze Watchtower™
chatgpt.com
Stable print/burnThis indicator is a "Liquidity Scanner" for the crypto market. It tracks the movement of US dollars flowing in and out of the ecosystem through the 5 major stablecoins (USDT, USDC, DAI, FDUSD, and PYUSD).
Here is exactly how it works:
1. It tracks "Printing" vs "Burning"Mint (Green Bar): When new stablecoins are created, it means investors are depositing real dollars to buy crypto. This is buying power entering the market.Burn (Red Bar). When stablecoins are destroyed, it means investors are cashing out to their bank accounts. This is liquidity leaving the market.
2. It calculates the "Net Flow"Instead of just looking at the price, it calculates the daily change. By summing the 5 major stables, it gives you a global view of the total "dry powder" available to pump the market.
3. Key FeaturesAnti-Error Logic: It uses "Non-Zero" logic, so if a stablecoin didn't exist a few years ago (like PYUSD), it won't break your chart. You get the full history.Flexible Selection: You can toggle each stablecoin ON or OFF in the settings to see how individual players (like Tether) impact the total liquidity.Trend Line: The white line shows the 7-day average, helping you see if money is consistently entering the market or if it was just a one-time event.How to read it:Big Green Bars: Usually a Bullish signal. Large amounts of cash are ready to buy.Big Red Bars: Usually a Bearish signal. The "fuel" is being removed from the engine.
Signal Architect Stop-Hunt !GC. 15 MIN. 1.12.2026 . AM SESSIONSignal Architect™ — Developer Note
These daily posts are intentional.
They are designed to help potential users visually observe consistency—not just in outcomes, but in process—across multiple futures products, market conditions, and timeframes, using the Stop Hunt Indicator alongside my proprietary Signal Architect™ framework.
The goal is simple:
To show how structure, behavior, and probability repeat—every day—despite a constantly changing market.
If you follow these posts over time, you will begin to recognize that:
• The same behaviors appear across different futures contracts
• The same reactions occur on multiple timeframes
• The same structural traps and stop events repeat regardless of volatility regime
That consistency is not coincidence.
Consistency is the signal.
Over time, that consistency should become familiar—
and familiarity should become your edge.
________________________________________
🧠 What You’re Seeing (And Why It Matters)
This indicator includes a limited visual preview of a proprietary power signal I have personally developed and refined across:
• Futures
• Algorithmic trading systems
• Options structure
• Equity market behavior
Every tool I release is built around one core principle:
Clarity of direction without over-promising or over-fitting.
That is why all Signal Architect™ tools emphasize:
• Market structure first
• High-probability directional context
• Clear, visual risk framing
• No predictive claims
• No curve-fit illusions
What you see publicly is not the full system—only controlled, educational previews meant to demonstrate how structure and probability align in real markets.
________________________________________
📊 Background & Scope
Over the years, I have personally developed 800+ programs, including:
• Equity systems
• Futures strategies
• Options structure tools
• Dividend & income frameworks
• Portfolio construction and allocation logic
This includes 40+ Nasdaq-100 trading bots, several operating under extremely strict rule-sets and controlled deployment conditions.
Nothing shared publicly represents my complete internal framework.
Public posts exist for education, observation, and pattern recognition—not signals, not advice, and not promises.
________________________________________
🤝 For Those Who Find Value
If these daily posts help you see the market more clearly:
• Follow, boost, and share my scripts, Ideas, and MINDS posts
• Feel free to message me directly with questions or build requests
• Constructive feedback and collaboration are always welcome
For traders who want to go deeper, optional memberships may include:
• Additional signal access
• Early previews
• Occasional free tools and upgrades
🔗 Membership & Signals:
trianchor.gumroad.com
________________________________________
⚠️ Final Note
Everything published publicly is educational and analytical only.
Markets carry risk.
Discipline, patience, and risk management always come first.
Watch the consistency.
Study the structure.
Let the market repeat itself.
— Signal Architect™
________________________________________
🔗 Personally Developed GPT Tools
• AuctionFlow GPT
chatgpt.com
• Signal Architect™ Gamma Desk – Market Intelligence
chatgpt.com
• Gamma Squeeze Watchtower™
chatgpt.com
Signal Architect Stop-Hunt GOLD 5MINSignal Architect™ — Developer Note
These daily posts are intentional.
They are designed to help potential users visually observe consistency—not just in outcomes, but in process—across multiple futures products, market conditions, and timeframes, using the Stop Hunt Indicator alongside my proprietary Signal Architect™ framework.
The goal is simple:
To show how structure, behavior, and probability repeat—every day—despite a constantly changing market.
If you follow these posts over time, you will begin to recognize that:
• The same behaviors appear across different futures contracts
• The same reactions occur on multiple timeframes
• The same structural traps and stop events repeat regardless of volatility regime
That consistency is not coincidence.
Consistency is the signal.
Over time, that consistency should become familiar—
and familiarity should become your edge.
________________________________________
🧠 What You’re Seeing (And Why It Matters)
This indicator includes a limited visual preview of a proprietary power signal I have personally developed and refined across:
• Futures
• Algorithmic trading systems
• Options structure
• Equity market behavior
Every tool I release is built around one core principle:
Clarity of direction without over-promising or over-fitting.
That is why all Signal Architect™ tools emphasize:
• Market structure first
• High-probability directional context
• Clear, visual risk framing
• No predictive claims
• No curve-fit illusions
What you see publicly is not the full system—only controlled, educational previews meant to demonstrate how structure and probability align in real markets.
________________________________________
📊 Background & Scope
Over the years, I have personally developed 800+ programs, including:
• Equity systems
• Futures strategies
• Options structure tools
• Dividend & income frameworks
• Portfolio construction and allocation logic
This includes 40+ Nasdaq-100 trading bots, several operating under extremely strict rule-sets and controlled deployment conditions.
Nothing shared publicly represents my complete internal framework.
Public posts exist for education, observation, and pattern recognition—not signals, not advice, and not promises.
________________________________________
🤝 For Those Who Find Value
If these daily posts help you see the market more clearly:
• Follow, boost, and share my scripts, Ideas, and MINDS posts
• Feel free to message me directly with questions or build requests
• Constructive feedback and collaboration are always welcome
For traders who want to go deeper, optional memberships may include:
• Additional signal access
• Early previews
• Occasional free tools and upgrades
🔗 Membership & Signals:
trianchor.gumroad.com
________________________________________
⚠️ Final Note
Everything published publicly is educational and analytical only.
Markets carry risk.
Discipline, patience, and risk management always come first.
Watch the consistency.
Study the structure.
Let the market repeat itself.
— Signal Architect™
________________________________________
🔗 Personally Developed GPT Tools
• AuctionFlow GPT
chatgpt.com
• Signal Architect™ Gamma Desk – Market Intelligence
chatgpt.com
• Gamma Squeeze Watchtower™
chatgpt.com
Signal Architect Stop-Hunt Signal Architect™ — Developer Note
These daily posts are intentional.
They are designed to help potential users visually observe consistency—not just in outcomes, but in process—across multiple futures products, market conditions, and timeframes, using the Stop Hunt Indicator alongside my proprietary Signal Architect™ framework.
The goal is simple:
To show how structure, behavior, and probability repeat—every day—despite a constantly changing market.
If you follow these posts over time, you will begin to recognize that:
• The same behaviors appear across different futures contracts
• The same reactions occur on multiple timeframes
• The same structural traps and stop events repeat regardless of volatility regime
That consistency is not coincidence.
Consistency is the signal.
Over time, that consistency should become familiar—
and familiarity should become your edge.
________________________________________
🧠 What You’re Seeing (And Why It Matters)
This indicator includes a limited visual preview of a proprietary power signal I have personally developed and refined across:
• Futures
• Algorithmic trading systems
• Options structure
• Equity market behavior
Every tool I release is built around one core principle:
Clarity of direction without over-promising or over-fitting.
That is why all Signal Architect™ tools emphasize:
• Market structure first
• High-probability directional context
• Clear, visual risk framing
• No predictive claims
• No curve-fit illusions
What you see publicly is not the full system—only controlled, educational previews meant to demonstrate how structure and probability align in real markets.
________________________________________
📊 Background & Scope
Over the years, I have personally developed 800+ programs, including:
• Equity systems
• Futures strategies
• Options structure tools
• Dividend & income frameworks
• Portfolio construction and allocation logic
This includes 40+ Nasdaq-100 trading bots, several operating under extremely strict rule-sets and controlled deployment conditions.
Nothing shared publicly represents my complete internal framework.
Public posts exist for education, observation, and pattern recognition—not signals, not advice, and not promises.
________________________________________
🤝 For Those Who Find Value
If these daily posts help you see the market more clearly:
• Follow, boost, and share my scripts, Ideas, and MINDS posts
• Feel free to message me directly with questions or build requests
• Constructive feedback and collaboration are always welcome
For traders who want to go deeper, optional memberships may include:
• Additional signal access
• Early previews
• Occasional free tools and upgrades
🔗 Membership & Signals:
trianchor.gumroad.com
________________________________________
⚠️ Final Note
Everything published publicly is educational and analytical only.
Markets carry risk.
Discipline, patience, and risk management always come first.
Watch the consistency.
Study the structure.
Let the market repeat itself.
— Signal Architect™
________________________________________
🔗 Personally Developed GPT Tools
• AuctionFlow GPT
chatgpt.com
• Signal Architect™ Gamma Desk – Market Intelligence
chatgpt.com
• Gamma Squeeze Watchtower™
chatgpt.com
Signal Architect Stop-Hunt ProxySignal Architect™ — Developer Note
These daily posts are intentional.
They are designed to help potential users visually observe consistency—not just in outcomes, but in process—across multiple futures products, market conditions, and timeframes, using the Stop Hunt Indicator alongside my proprietary Signal Architect™ framework.
The goal is simple:
To show how structure, behavior, and probability repeat—every day—despite a constantly changing market.
If you follow these posts over time, you will begin to recognize that:
• The same behaviors appear across different futures contracts
• The same reactions occur on multiple timeframes
• The same structural traps and stop events repeat regardless of volatility regime
That consistency is not coincidence.
Consistency is the signal.
Over time, that consistency should become familiar—
and familiarity should become your edge.
________________________________________
🧠 What You’re Seeing (And Why It Matters)
This indicator includes a limited visual preview of a proprietary power signal I have personally developed and refined across:
• Futures
• Algorithmic trading systems
• Options structure
• Equity market behavior
Every tool I release is built around one core principle:
Clarity of direction without over-promising or over-fitting.
That is why all Signal Architect™ tools emphasize:
• Market structure first
• High-probability directional context
• Clear, visual risk framing
• No predictive claims
• No curve-fit illusions
What you see publicly is not the full system—only controlled, educational previews meant to demonstrate how structure and probability align in real markets.
________________________________________
📊 Background & Scope
Over the years, I have personally developed 800+ programs, including:
• Equity systems
• Futures strategies
• Options structure tools
• Dividend & income frameworks
• Portfolio construction and allocation logic
This includes 40+ Nasdaq-100 trading bots, several operating under extremely strict rule-sets and controlled deployment conditions.
Nothing shared publicly represents my complete internal framework.
Public posts exist for education, observation, and pattern recognition—not signals, not advice, and not promises.
________________________________________
🤝 For Those Who Find Value
If these daily posts help you see the market more clearly:
• Follow, boost, and share my scripts, Ideas, and MINDS posts
• Feel free to message me directly with questions or build requests
• Constructive feedback and collaboration are always welcome
For traders who want to go deeper, optional memberships may include:
• Additional signal access
• Early previews
• Occasional free tools and upgrades
🔗 Membership & Signals:
trianchor.gumroad.com
________________________________________
⚠️ Final Note
Everything published publicly is educational and analytical only.
Markets carry risk.
Discipline, patience, and risk management always come first.
Watch the consistency.
Study the structure.
Let the market repeat itself.
— Signal Architect™
________________________________________
🔗 Personally Developed GPT Tools
• AuctionFlow GPT
chatgpt.com
• Signal Architect™ Gamma Desk – Market Intelligence
chatgpt.com
• Gamma Squeeze Watchtower™
chatgpt.com
Daily Opens (Today/Yesterday/Prev Week)Market open markers for Volume profile traders, Marks Current Day open, Previous Day open, Previous Week open.
R4REPO 10/20 EMA Gradient Band An Exponential Moving Average (EMA) is a moving average that places greater emphasis on recent data points, making it more sensitive to recent price changes than a Simple Moving Average (SMA
THE 10 20 crossover elps in identifying trending stocks.
Trend ComboI have just combined Vwap with EMA's, along with a Parabolic Sar to help with timing potential entries and exits. Always use a stop loss.
First Candle Session Levels. Sessions custom timeframes settingsFirst Candle Rule – Scalping Itinerary
Chart Setup
Use two charts at the same time: the five-minute chart and the one-minute chart. This double-chart approach allows you to define structure on the higher timeframe and execute with precision on the lower timeframe.
The First Candle
Focus on the first five-minute candle of the session. Once this candle has fully closed, mark its high and its low. These two price levels form the operating range for the setup.
Execution Phase
After the range is marked, wait for price to return into or react around the first candle range. Execution is carried out on the one-minute chart, using price reaction at the high or low of the first five-minute candle.
Conceptual Framework
This method is built around Smart Money Concepts and Inner Circle Trader principles. It aligns closely with first candle theory and candle range theory. If you understand ICT concepts, the logic behind this setup will be immediately familiar.
Strategy Type
This is a scalping system designed to be simple, repeatable, and effective on a daily basis. It is not about prediction, but about reacting to price within a clearly defined range.
Learning Path
To fully understand the background of this approach, study first candle theory and related ICT material on YouTube. This will help you see how and why the setup works across different market conditions.
Final Purpose
This algorithm was built to be accessible to everyone. The objective is consistency, discipline, and structure, with the long-term goal of helping traders work toward financial freedom through a clear and repeatable process.
CausalityLib - granger casuality and transfer entropy helpersLibrary "CausalityLib"
Causality Analysis Library - Transfer Entropy, Granger Causality, and Causality Filtering
f_shannon_entropy(data, num_bins)
Calculate Shannon entropy of data distribution
Parameters:
data (array) : Array of continuous values
num_bins (int) : Number of bins for discretization
Returns: Entropy value (higher = more randomness)
f_calculate_te_score(primary_arr, ticker_arr, window, bins, lag)
Calculate Transfer Entropy from source to target
Parameters:
primary_arr (array) : Target series (e.g., primary ticker returns)
ticker_arr (array) : Source series (e.g., basket ticker returns)
window (int) : Window size for TE calculation
bins (int) : Number of bins for discretization
lag (int) : Lag for source series
Returns: - TE score and direction (-1 or 1)
f_correlation_at_lag(primary_arr, ticker_arr, lag, window, correlation_method)
Calculate Pearson correlation at specific lag
Parameters:
primary_arr (array) : Primary series
ticker_arr (array) : Ticker series
lag (int) : Lag value (positive = ticker lags primary)
window (int) : Window size for correlation
correlation_method (string) : Correlation method to use ("Pearson", "Spearman", "Kendall")
Returns: Correlation coefficient
f_calculate_granger_score(primary_arr, ticker_arr, window, max_lag, correlation_method)
Calculate Granger causality score with lag testing
Parameters:
primary_arr (array) : Primary series
ticker_arr (array) : Ticker series
window (int) : Window size for correlation
max_lag (int) : Maximum lag to test
correlation_method (string) : Correlation method to use
Returns: - Granger score and directional beta
f_partial_correlation(x_arr, y_arr, z_arr, window)
Calculate partial correlation between X and Y controlling for Z
Parameters:
x_arr (array) : First series
y_arr (array) : Second series
z_arr (array) : Mediator series
window (int) : Window size for correlation
Returns: Partial correlation coefficient
f_pcmci_filter_score(raw_score, primary_arr, ticker_arr, mediator1, mediator2, mediator3, mediator4, window)
PCMCI Filter: Adjust Granger score by checking for mediating tickers
Parameters:
raw_score (float) : Original Granger score
primary_arr (array) : Primary series
ticker_arr (array) : Ticker series
mediator1 (array) : First potential mediator series
mediator2 (array) : Second potential mediator series
mediator3 (array) : Third potential mediator series
mediator4 (array) : Fourth potential mediator series
window (int) : Window size for correlation
Returns: Filtered score (reduced if causality is indirect/spurious)
