30d Rolling TWAP (Hourly)code:
//@version=5
indicator("30d Rolling TWAP (Hourly)", overlay=true)
// Calculation: (High + Low + Close) / 3
typicalPrice = hlc3
// 30 days * 24 hours = 720 bars
length = 720
twap30 = ta.sma(typicalPrice, length)
// Plotting
plot(twap30, color=color.new(#2962FF, 0), title="30d Hourly TWAP", linewidth=2)
// Optional: Background highlight
fillColor = close > twap30 ? color.new(color.green, 90) : color.new(color.red, 90)
bgcolor(fillColor)
Wskaźniki i strategie
MACD Trend Count ScoreThis indicator is designed to confirm potential future trends in an asset’s price by analyzing the MACD histogram in the past. It works by counting positive and negative MACD bars within the selected chart timeframe to calculate a Strength Index, which reflects the past trend direction and intensity.
Summarizing the predominance of positive or negative bars across higher timeframes in the past such as daily, weekly, bi-weekly, and quarterly, it provides insight to anticipate how the trend may evolve in upcoming periods, according to the predetermined range scales Strong Bullish, Moderate Bullish, Neutral, Moderate Bearish and Strong Bearish.
Additionally, a dedicated module linked to the strength index is optimized for short-term charts (2-minute, 5-minute and 15-minute timeframes), making it a valuable tool for day trading strategies.
Trading Checklist - POI & iFVG StrategyInspired by Navi Trades rules of trade engagement, I'm keeping it open on the side of the chart as reminder
Watch: www.youtube.com
Read: www.notion.so
Indicators Navi Uses:
iFVG:
CCT:
VWT:
Sessions: ICT Killzones + Pivots indicator
**Strategy**
**A+ Trade (Bullish Example):**
- Wait for a H1 candle to above virgin wick(s)
- Virgin wick(s) becomes H1 Bullish POIs
- Drop to M1 and look for price to trade under POI (can be wick or close)
- Then wait for a confirmed iFVG
- (iFVG can be on either side of POI)
- Limit order on confirmation of iFVG
**TP/SL:**
- SL: Just on the other side of the iFVG or the entry candle (which ever is further/safer)
- TP: Obvious DOL OR 2R is DOL is more than 2R away
- If DOL is significantly more than 2R away, I will widen the SL a bit and lessen the TP a bit
- No partial TP, No moving SL, No trailing, No breakeven. Either SL or TP
- Risk = 10% of drawdown ($200 for $50k Lucid accounts)
- Contract size will change depending on how far SL is so I can maintain same $ risk
**A+ Rules**
- Each POI is only valid for an hour
- If still in trade at end of hour, let it play out
- No entries from XX:51
- If price already delivers off POI without giving entry I will not consider it anymore
- There must be an obvious DOL - I will not target empty space
- 1.5R MINIMUM, 2R MAXIMUM
**A+ Process:**
- Wait for iFVG alert
- Check that none of the above rules have been breached
- Check if price engaged with respective POI (bullish/bearish) - this is where indicators help (personal preference) (you still need to understand the model)
- Limit order at iFVG confirmation
- SL on other side of iFVG or entry candle (which ever is further)
- TP at clear DOL (2R max)
- If DOL is a lot more than 2R away - can widen SL a bit
**Reminders**
- Process > Profits.
- A perfectly executed red day > poorly executed green day
- Follow your system.
- Trust your edge - trading is a probabilities game.
- You can lose more than half of your trades and STILL BE PROFITABLE
- There will be losses. That is a part of this business. There is no model in the world that has a 100% win rate.
- Be grateful for the opportunity to make magic internet monies by clicking buttons on a screen
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)
LEVENT: Lifetime Estimation via Efficiency-Regime EventLEVENT — Lifetime Estimation via Efficiency-Regime Event Transitions
LEVENT is a research-grade indicator that estimates the remaining structural lifetime of the current market regime.
Unlike trend, volatility, or momentum tools, LEVENT does not measure price movement — it measures how long the current market structure is likely to survive before breaking.
This script implements the LEVENT model published on Zenodo (Bülent Duman, 2026) and is built on top of the open-source DERYA (Dynamic Efficiency Regime Yield Analyzer) microstructural efficiency framework.
What LEVENT measures
LEVENT outputs a single continuous variable L that represents the remaining survival capacity of the active efficiency regime.
High L → the current regime has strong structural endurance
Falling L → the regime is consuming its capacity
L → 0 → regime exhaustion and elevated probability of transition
This makes LEVENT a forward-looking structural time variable, not a price indicator.
What is inside this script
This implementation contains the following components:
1. DERYA (open-source microstructure efficiency)
DERYA is computed from OHLC data as:
Net close-to-close movement divided by total intrabar range
It is smoothed with an EMA and normalized over a rolling window to produce a bounded efficiency state (0–100).
This is an open-source indicator and is explicitly credited in the LEVENT paper.
2. Transition Strength (S)
S measures how unstable the regime is by combining:
the slope of DERYA
the acceleration of DERYA
This is not RSI, MACD, or ATR — it is a state-transition intensity metric.
3. Regime Engine
Markets are classified into four structural regimes:
Expansion
Exhaustion
Collapse
Base / Recovery
A debounce + persistence filter is used to avoid noise-based flickering.
4. Structural Lifetime (LEVENT L)
Each regime is assigned a capacity (Λ) and a fragility (α).
LEVENT then evolves as a jump-and-countdown survival process:
On regime change → L resets to full capacity
Inside a regime → L decays deterministically
High instability → faster decay
This is not a moving average, oscillator, or probability estimate — it is a structural survival clock.
How to use LEVENT
LEVENT is designed to be used as a regime-health overlay, not a buy/sell trigger.
Typical uses:
Detect late-stage trends when L is low
Avoid initiating positions when the regime is near collapse
Compare structural stability across assets
Combine with price, trend, or volume systems
Do not use LEVENT alone as a trading signal.
LEVENT tells you “how long the structure may last”, not “where price will go.”
Visuals
Background colors show the current regime
The LEVENT line shows remaining structural lifetime
A table displays the active regime and current L value
Important notes
LEVENT is not RSI, MACD, ATR, or trend
LEVENT does not predict price direction
LEVENT does not issue entry/exit signals
LEVENT is a research-grade structural model
The DERYA component used here is an open-source microstructural efficiency estimator and is credited accordingly.
Risk and disclaimer
This script is provided for research and analytical purposes only.
It is not financial advice and must not be used as a standalone trading system.
Markets are uncertain.
All trading decisions and risks remain entirely the responsibility of the user.
LEVENT: Lifetime Estimation via Efficiency-regime Event Transitions
Introducing a Regime-Dependent Structural Lifetime Estimator for Financial Markets Using OHLC Data
Author: DUMAN,Bülent
Affiliation: Independent Researcher
zenodo.org
PAIR CORROLATIONThis indicator shows when ema's on 2 pairs of choice (SMT related) are allilgned. you can fully customize it by showing signals or change of colour of background
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.
----------------------------------------------------------------------------------------
- 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.
Night Mode Session | ZeeZeeMon🇷🇺 Описание (Russian)
Night Mode Session Highlight
Night Mode Session Highlight — это визуальный индикатор, предназначенный для подсветки заданного временного диапазона на графике. Индикатор позволяет выделять ночную торговую сессию или любой другой временной интервал с помощью фоновой заливки, что упрощает анализ поведения цены в определённые часы.
Основные возможности
Подсветка выбранного временного диапазона на графике
Настройка времени сессии в формате HHMM–HHMM
Выбор таймзоны из выпадающего списка (IANA)
Настраиваемый цвет и прозрачность фоновой заливки
Корректная работа с интервалами, пересекающими полночь
Совместимость со всеми таймфреймами и инструментами
Параметры
Ночной режим (сессия) — временной интервал, который будет подсвечиваться (например, 0000-0800)
Таймзона — таймзона, относительно которой рассчитывается сессия
Цвет ночной подсветки — цвет и прозрачность фоновой заливки
Принцип работы
Индикатор проверяет, попадает ли текущий бар в заданную временную сессию с учётом выбранной таймзоны. Если условие выполняется, фон графика окрашивается выбранным цветом.
Назначение
Индикатор может использоваться для:
анализа ночной или азиатской сессии
визуального разделения торговых периодов
изучения волатильности и ликвидности в разные часы
вспомогательной визуальной фильтрации графика
Индикатор не генерирует торговых сигналов и не является торговой стратегией.
🇬🇧 Description (English)
Night Mode Session Highlight
Night Mode Session Highlight is a visual indicator designed to highlight a specific time range on the chart. It allows users to mark the night trading session or any custom time interval using background shading, making it easier to analyze price behavior during selected hours.
Key Features
Highlights a custom time session on the chart
Session time input in HHMM–HHMM format
Timezone selection via dropdown list (IANA)
Customizable background color and transparency
Correct handling of sessions crossing midnight
Works on all timeframes and instruments
Settings
Night Session — time range to be highlighted (e.g. 0000-0800)
Timezone — timezone used for session calculation
Night Background Color — background shading color and transparency
How It Works
The indicator checks whether the current bar belongs to the specified session using the selected timezone. If the condition is met, the chart background is filled with the chosen color.
Purpose
This indicator can be used for:
analyzing night or Asian trading sessions
visually separating trading periods
studying volatility and liquidity at different times
additional visual filtering of the chart
This indicator does not generate trading signals and is not a trading strategy.
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 HOUR.1.12.2026 AM 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
6 Moving Averages (SMA, WMA, EMA etc.)6 Moving Averages is a simple and flexible overlay indicator that lets you plot up to six moving averages on the price chart. Each moving average can be customized by type (SMA, EMA, WMA, etc.), length, color, and visibility, making it ideal for trend analysis, dynamic support and resistance, and moving-average confluence across any market or timeframe.
ATR + STRAT Dashboard (LAST + DIR + REV) + Est MovesATR + STRAT Dashboard is a multi-timeframe market structure indicator built around The Strat and ATR context. It summarizes higher-timeframe control (buyers vs sellers), highlights key Strat conditions (inside/outside/2-1-2 style transitions), and flags common reversal candles (hammer / shooting star style signals) to help spot potential turns. It also includes ATR-based context and estimated move guidance so you can quickly gauge whether price has “room” to run or is extended.
What it shows
MTF Dashboard: quick read of trend/control across multiple timeframes
Direction/Control: color-based bias (buyers vs sellers in charge)
Reversal Flags: highlights reversal-style candles for awareness (not guaranteed)
ATR Context + Estimated Moves: volatility-based framework for targets/expectations
Non-repainting HTF behavior: designed to use closed higher-timeframe bars to reduce repaint surprises
Note: This tool is for structure + context, not trade signals by itself. Always confirm with your plan/risk management.
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
Statistical Probability Entry & ExitWHAT THIS INDICATOR WILL DO
This indicator will:
✅ Identify market direction
✅ Analyze the last 2–5 candles statistically
✅ Trigger BUY / SELL signals when continuation probability is high
✅ Trigger EXIT signals when probability collapses
✅ Be fast, made for 1-minute NQ trading
✅ Avoid laggy indicators (no RSI, MACD spam)
CORE LOGIC (HOW PROBABILITY IS ESTIMATED)
We estimate probability using conditional continuation logic:
Bullish continuation is likely when:
Price is above EMA (trend bias)
Last candles show:
Higher closes
Strong bodies (not wicks)
Volume expands in direction of move
Momentum doesn’t stall (no large opposite candle)
Same logic inverted for shorts.
EST Time Table//@version=6
indicator("EST Time Table", overlay = true)
// ─── Table Settings ─────────────────────────────────────────────
var table timeTable = table.new(
position.top_right,
1, 12,
border_width = 1
)
// ─── Header ────────────────────────────────────────────────────
if barstate.isfirst
table.cell(timeTable, 0, 0, "Time (EST)",
bgcolor = color.black,
text_color = color.white,
text_size = size.normal)
// ─── Time Rows ─────────────────────────────────────────────────
times = array.from(
"2:00 AM",
"6:00 AM",
"8:00 AM",
"8:30 AM",
"9:00 AM",
"9:30 AM",
"10:00 AM",
"11:00 AM",
"14:00 PM",
"19:00 PM",
"21:00 PM"
)
// ─── Fill Table ────────────────────────────────────────────────
for i = 0 to array.size(times) - 1
bg = i % 2 == 0 ? color.rgb(220, 220, 220) : color.white
table.cell(
timeTable,
0,
i + 1,
array.get(times, i),
bgcolor = bg,
text_color = color.black,
text_size = size.normal
)
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
ATR + BB Swing StrategyMechanical daily stock swing strategy using ATR stops, Heikin Ashi trend confirmation, and Bollinger Bands context. Entries occur above 50 SMA on bullish Heikin Ashi candles; initial stop is 3xATR with trailing stop of highest close minus 2xAtr, reducing to 1.5xATR when profit protection triggers (+2R and momentum weakening). Exits are fully ATR-based, giving a simple, rules-driven approach to ride trends while protecting gains
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.
ATR Bands over 50D SMA ($ method)This indicator does NOT conform to Jeff Sun's methodology. It is published for educational purposes only. It is offered as-is, with no warranty of suitability or accuracy. The reality is, this was just a detour that let me to developing my other indicator.
VWAP Pullback + EMA Stack + SAR (TIGHT) PROFIT LOCKVWAP Script with all kinds of toggles and settings please use it and play around with it.






















