TASC 2026.06 One Percent A Week - Adaptive█ OVERVIEW
This script implements a variant of Dion Kurczek's "High-Probability Weekly Trading Strategy For TQQQ" concept, as presented in his article "Part 2: Variations and Community Enhancements" in the June 2026 edition of the TASC Traders' Tips . In the article, the author explores multiple possible revisions to the original strategy. In this publication, we've adapted the final revision presented in the article: the "Adaptive Weekly Momentum Exit" model.
█ BACKGROUND
The One Percent a Week strategy was recently introduced in the March 2026 publication . It utilizes the 3x leverage and volatility of TQQQ to attempt to capture 1% weekly profit from reactive moves made early in the week. The system was designed with simple, strict trading rules to prevent overtrading and control drawdown. Although this was the goal, the system left room for improvements to the base concept.
The original system used the following mechanics:
Enter a trade after a 1% dip from the Monday open.
Set an initial profit target of 1% for the open trade.
If the trade's drawdown is 0.5% or greater, create a short limit order to fill at the entry price.
Close the trade at the end of the week, regardless of profit or loss.
The version discussed in this article overhauls most of these mechanics. It preserves the same premise of striving for 1% average weekly returns, but aims to minimize drawdowns and allow for conditionally higher profit targets by introducing the following improvements:
Entry on Monday open : The strategy enters a trade at the open of each Monday rather than waiting for a 1% dip, increasing market exposure.
Dynamic profit target : The initial profit target for each trade is 7%. Depending on the trade performance during the Monday session, the target increases by 1.1%, decreases to 2.5%, or remains unchanged.
Momentum-weakness exit : If the trade's performance is strong on Monday and begins to weaken on Tuesday, the system places a market order to exit the trade to avoid potential increased losses.
Hard stop-loss : Each trade has a fixed 1.5% stop-loss order to prevent trades from further deterioration.
█ THE RULES
The rules of the "Adaptive Weekly Momentum Exit" model discussed in the article differ significantly from those in the original strategy. The rules for this version are as follows:
Enter a new trade at Monday's open.
Set a fixed stop-loss order at 1.5% below the entry price.
Set an initial take-profit order at 7% above the entry price.
Check the trade's performance at the end of Monday. If the trade is still open and the profit is greater than 0.3%, multiply the take-profit price by 1.011 to allow a potential profit of 8.177%. If the open profit is currently zero or negative, reduce the target to 2.5%.
At the end of Tuesday, check for a momentum-based exit condition. If the return was above a specified threshold on Monday (2% by default) but fails to meet a separate threshold on Tuesday (3% by default), indicating a loss of momentum, place an order to close the position early.
If the position is open at the end of the week, close it immediately.
▌Properties
Position Sizing : Sizing is 10% of equity, the same as in the article.
Commissions : Commission value is set to $0. Most major US brokers charge $0 commission on stocks and ETF trades, including leveraged ETFs such as TQQQ.
Slippage : Slippage is not discussed in the article and likewise has not been included in this strategy.
Note:
This script enables "Recalculate after order is filled" by default, allowing the strategy to update trades and orders on the same bar to match the intended mechanics discussed in the article. Using this setting by default results in a warning in the strategy report because it can cause lookahead bias in some scripts. However, this script does not leak future price data into the past to control its orders or logic.
█ DISPLAY
Similar to the strategy published for Part 1, this script plots lines to visualize the levels that it uses for order execution:
Entry price : The blue line plots the entry price for the position, which is placed at Monday's opening price.
-1.5% Hard stop : The red dashed line is the level at which the 1.5% fixed stop loss is placed.
Profit target : The solid green line shows the profit target.
█ INPUTS
"Monday %" and "Tuesday %" : These thresholds adjust the parameters of the loss-of-momentum exit. An early exit occurs if trade's return percentage as of Monday is greater than the "Monday %" value, and the current percentage on Tuesday is less than the "Tuesday %" value. The default percentages are the specific values referenced in the article.
Strategy
Yield Spread MacroYield Spread Macro — Indicator Guide
What it does
This indicator compares the interest rate differential between two countries against the actual FX price of their currency pair, both plotted on the same normalised scale so they can be directly compared. The core idea is that exchange rates are fundamentally driven by the difference in yields between two economies — when one country's rates are significantly higher than another's, capital tends to flow toward the higher-yielding currency, pushing its price up. This indicator tracks whether the FX price is keeping up with that yield story or diverging from it.
What you're looking at on the chart
Blue line — Yield Spread (z-score)
The interest rate differential between the US and the local country, normalised to show where it sits relative to its own history. Above zero means the spread is above average. Below zero means it has compressed.
Aqua line — FX Price (z-score)
The FX pair price, normalised on the same scale as the spread so the two can be directly compared.
Shaded fill between the lines
The gap between the spread and price. When this gap is wide, the two series have diverged — price is not reflecting what the rate differential is saying.
Coloured line (lime/yellow/orange/red) — Rolling Correlation
This is the most important line on the chart. It measures how closely the yield spread and FX price are actually tracking each other over the selected window. Think of it as a trust meter for the spread signal:
🟢 Above 0.80 — strong alignment, spread is a reliable guide right now
🟡 0.40–0.80 — moderate, use alongside other inputs
🟠 0.20–0.40 — weak, something else is driving the pair
🔴 Below 0.20 — regime shift, the spread relationship has broken down entirely
Green background / ▲ DIV label
The yield spread is rising but price has not caught up yet. If correlation is strong this suggests price may follow higher. If correlation is weak, treat it as a tension signal rather than a directional call.
Red background / ▼ DIV label
The yield spread is falling but price has not caught down yet. Price is elevated relative to where the rate differential says it should be. Same caveat — only a strong correlation makes this actionable.
Horizontal dotted lines
The ±1σ and ±2σ bands show historically stretched levels. When either the spread or price z-score pushes beyond ±2, it is statistically extended relative to the lookback window.
Settings explained
Pair Settings
FX Pair
The currency pair you want to analyse. Options are USDJPY, USDCAD, EURUSD, GBPUSD, AUDUSD. Changing this automatically updates all yield series, breakeven data, and FX price feeds — you don't need to change anything else.
Yield Timeframe
The timeframe used to fetch yield data. Default is Daily. Leaving this at D is recommended regardless of what chart timeframe you are on — yield data is most meaningful and cleanest on a daily basis.
General Settings
Normalization Length
The lookback window for the z-score calculation — how many bars of history the indicator uses to compute the average and standard deviation that everything is measured against.
Lower (20–50) — reactive, reflects recent history only, z-score moves frequently
Default (100) — roughly five months on a daily chart, good medium-term context
Higher (200–300) — structural, slow-moving, only flags genuinely historical extremes
If you are a shorter-term trader bring this down. If you want to see where things sit in a multi-year context bring it up.
Spread EMA Smoothing
Applied to the raw yield spread before it gets z-scored. Yield data can print erratic single-day spikes due to auction flows or data feed quirks. This smooths those out.
Lower (3–5) — close to raw spread, more reactive, more noise
Default (10) — removes day-to-day jitter while still tracking real moves
Higher (20–30) — only responds to sustained shifts in the differential, very smooth
Divergence Settings
Divergence Lookback (bars)
How far back the indicator looks when deciding whether the spread and price are moving in opposite directions. A divergence is flagged when the spread has moved one way and price has moved the other way over this window.
Lower (3–5) — very sensitive, signals fire frequently, more noise
Default (10) — roughly two trading weeks on a daily chart
Higher (20–30) — only flags sustained, structural divergences
Min Z-Score Gap to Flag Div
The minimum difference between the spread z-score and price z-score required before a divergence label appears. This prevents the labels from firing when the two lines are close together and the divergence is trivial.
Lower (0.1–0.2) — more signals, lower quality
Default (0.3) — reasonable filter for meaningful gaps
Higher (0.5+) — only the most extreme divergences get flagged
Correlation Settings
Correlation Length (bars)
The rolling window used to measure how tightly the yield spread and FX price are tracking each other. This is the most important setting to understand.
Lower (20–30) — very reactive, correlation shifts quickly, good for seeing regime changes as they happen but noisy
Default (60) — roughly three months on a daily chart, captures a meaningful regime without being too slow
Higher (120–200) — slow-moving, tells you about the long-run structural relationship rather than the current regime
Plot Correlation Line
Toggle the correlation line on or off. If you find the chart visually busy you can turn this off and rely on the table value instead.
Display Settings
Show Zero Line — the dashed horizontal line at zero. Useful reference for whether z-scores are above or below their historical average.
Show ±1σ / ±2σ — the dotted band lines. Turn off if you want a cleaner chart.
Show Data Table — the data panel in the top right corner showing all live values including FX price, yields, real yield, implied breakeven, spread in basis points, z-scores, divergence status, and correlation reading. Turn off if you don't need it or are using the indicator on a small screen.
How to read it in practice
The right workflow is to check the correlation first, then the divergence, in that order.
Check correlation. If it is below 0.40 the spread is not currently driving the pair and the divergence signals should be treated with scepticism. Something else — geopolitics, intervention risk, risk sentiment — is dominant.
Check the spread z-score. Is the differential historically stretched or compressed? Above +2 or below −2 is a significant reading.
Check the divergence. Is price keeping up with the spread or lagging it? A green divergence with strong correlation means price may have room to catch up higher. A red divergence with strong correlation means price may have room to correct lower.
Use the real yield toggle. Switching between nominal and real yields shows you how much of the spread is being driven by inflation expectations versus actual rate differentials. If the two modes show very different spreads, inflation expectations are a significant part of the story.
The indicator works best on a daily chart with the yield timeframe set to D. It is a macro context tool, not a precise entry signal — it tells you whether the fundamental backdrop supports a directional bias, and how much to trust that signal right now. Indicator
Shift Share - 5-Model Production MatrixThe 5-Model Stock Breakdown: A Beginner Guide
Imagine you are looking at a single stock—let us call it SuperEco Corp—and its price just jumped up by 10 percent over the last few weeks.
If you ask a regular person why it went up, they might say, "Because it is a good stock!" But a seasoned investor knows that a stock price does not move in a vacuum. It is being pulled and pushed by different invisible forces.
This guide explains how our tracking tool uses a method called Regression to break down that 10 percent jump and reveal exactly who was responsible for the move. You do not need a background in math, economics, or statistics to understand how it works.
1. The Three Invisible Forces
Our model assumes that a stock price movement depends on three major factors:
The Market (The Rising Tide): This is the entire stock market (like the S&P 500). When the overall economy is booming, optimism runs high, and almost every stock gets lifted. If the market goes up sharply, our stock will likely get dragged up with it, purely by association.
The Sector (The Industry Wave): This is the specific neighborhood the stock lives in (such as Technology, Energy, or Healthcare). If electric vehicles are suddenly booming, all EV stocks will rise together, even the poorly managed ones, because money is pouring into that specific industry bucket.
The Stock Itself (Its Unique Engine): This is the company own secret sauce. It includes their unique products, their management team, their earnings reports, and their breakthroughs. This is what belongs only to this stock and no one else.
What is Regression?
Think of a stock total return like a baked cake. You know the cake tastes sweet (the stock went up 10 percent), but you do not know how many cups of sugar, flour, or butter went into it.
Regression is a tool that acts like a laboratory test for that cake. It analyzes the final product, compares it to how the broader market and sector were moving at the same time, and extracts the exact recipe. It tells you: "Of this 10 percent move, 5 percent was caused by the market, 3 percent was caused by the sector, and 2 percent was the stock unique engine."
2. Leftover Mystery: The Statistical Error
No matter how smart a math model is, it can never perfectly predict human behavior or random events. When we add up what the Market and the Sector should have done to the stock, it rarely perfectly matches the actual final price.
The piece that is left over is called the Statistical Error (or Noise Floor).
Think of it like static on an old television set, or the background chatter in a crowded restaurant. It represents random daily market zig-zags, algorithmic trading glitches, or minor noise that has no real structural meaning. If our model is working correctly, this error row should be very small, meaning our factors successfully explained the vast majority of the price movement.
3. The 5 Steps of Understanding: Our Dropdown Models
To help you see how these forces interact, our indicator lets you switch between 5 different structural models using a simple settings dropdown menu. Think of this like changing lenses on a camera to see the data in different ways:
Model 1: No Variables (The Blindfold View)
This model assumes that external factors do not exist. It completely ignores the market and the sector. The stock price is treated as moving entirely on its own, plus some random mystery noise. This establishes a baseline to see what the stock looks like when you isolate it from macro events.
Model 2: Market Only (The Macro Lens)
This model assumes that only the big picture matters. It watches how the stock moves in relation to the main stock market index. It tells you if your stock is just a mirror of the broader economy. If the market explains almost all of the move, your stock is behaving like an index fund.
Model 3: Sector Only (The Neighborhood Watch)
This model ignores the broader market and looks strictly at the stock specific industry group. This helps you see if the stock is simply riding an industry-wide trend or hype cycle, completely independent of whether the rest of the world markets are up or down.
Model 4: Both Market and Sector (The Parallel View)
This model looks at both forces simultaneously, but treats them as completely independent. It assumes they run side-by-side like two trains on parallel tracks. This isolates how much of the stock price was swept up by the macro economy versus how much was driven by its specific industry peer group.
Model 5: Full Interactive Model (The Chemistry Lab)
In the real world, forces do not just run on parallel tracks—they collide and alter each other. This model introduces a special Interaction Term. When a roaring market slams into a hyper-growth sector, they create a compounding synergy that accelerates or dampens stock prices. This is the most realistic model, stripping away all shared group behavior to isolate the stock true standalone engine.
4. Reading Your Screen: The Output Matrix Table Explained
When you load the script on your chart, it generates a clean summary table in your indicator pane. Here is how to interpret the four columns:
Column 1: Source Factor
This lists the different forces we are tracking: Market Component, Sector Component, Cross-Factor Interaction, Pure Unique Asset, and Statistical Error Noise.
Column 2: Window Return
This column shows you the direct, absolute performance footprint measured in percentage points. If you add up every number in this column from top to bottom, it will perfectly equal the final Asset Total Return row at the very bottom. If the final row says +10.00%, and the Market row says +6.00%, the market tide handed your stock 6 of its 10 points of growth. A negative number means that factor acted as a brake, actively dragging your stock backward.
Column 3: Share Allocation %
While Column 2 tells you the direction and points, this column tells you pure structural influence. It answers the question: "Regardless of whether it was pulling the stock up or pushing it down, what percentage of the total steering wheel did this factor control?" This column always adds up to exactly 100.00%.
Column 4: Dynamic Profile State
This column displays the real-time operational status of the factors based on your settings. If a factor is turned off in your dropdown choice, this column will clearly say "OFF / Excluded". If a factor is active, it reveals its underlying structural strength using standard financial metrics like Beta (market scaling) or Alpha (sector outperformance).
The Ultimate Check: Look at the Header (R2)
Right at the very top of the table header, you will see a score labeled R2 (R-Squared). Think of this as the Model Accuracy Grade, scaled from 0.00 (completely guessing in the dark) to 1.00 (absolute flawless perfection).
If your R2 is 0.85, it means your chosen model successfully captured and explained 85% of everything that caused the stock to move over that time window. By toggling through models 1 to 5, you can find the framework that creates the highest R2 score, giving you definitive statistical proof of how that specific stock is actually operating. Indicator
Support & Resistance Threesome [Zofesu]Support & Resistance Threesome is an overlay indicator that tracks up to twelve simultaneous liquidity zones across two structural levels — major and minor — and combines zone interaction data with an RSI-based smart entry filter to produce high-probability reversal signals directly at institutional price levels.
The three components work as a system: zones define where price is expected to react, touch counting measures how many times the level has been tested and held, and the entry filter ensures signals fire only when momentum conditions align with the zone interaction.
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01 — What is S/R Threesome?
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S/R Threesome detects pivot-based support and resistance zones and tracks them dynamically across the chart. Each zone is built around a confirmed swing high or low, padded by a configurable buffer, and updated in real time as price interacts with it.
The indicator tracks two structural levels simultaneously:
Major zones — built from wider swing lookback (default 20 bars). These represent significant structural levels where institutional activity is more likely.
Minor zones — built from shorter swing lookback (default 8 bars). These represent recent, lower-timeframe levels within the larger structure.
Up to three zones per type are tracked simultaneously — three major resistance, three major support, three minor resistance, three minor support — twelve zones total.
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02 — Zone Lifecycle
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Each zone passes through three states:
Active — zone is intact, price has not closed beyond it. The zone extends forward in real time and darkens with each confirmed touch.
Confirmed — zone has been tested at least twice (touch count ≥ 2). Border changes to yellow. A confirmed zone is a higher-probability level — it has held under pressure more than once.
Filled — price closed beyond the zone boundary. The box turns gray with a dashed border, marking the zone as invalidated. A filled resistance that price returns to often acts as new support, and vice versa.
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03 — Touch Count and Visual Intensity
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Every time a confirmed bar closes with price interacting with a zone boundary, the touch counter increments (maximum 5). The zone responds visually:
Touch 1 — lightest fill, thinnest border
Touch 2 — zone confirmed, yellow border
Touch 3 — medium fill intensity
Touch 4+ — darkest fill, thickest border
This system makes the most tested zones immediately visible — heavier zones have held under more pressure and carry more institutional weight.
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04 — Buffer System
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Zones are not single price lines — they are areas with a configurable half-width on both sides of the pivot price. Three buffer modes are available:
ATR — zone width adapts to current volatility. Default multiplier: 0.5. Recommended for most markets.
Percent — fixed percentage of current price. Default: 0.15%.
Fixed — absolute tick-based value. Default: 500 ticks. Use for specific instruments with known pip structures.
Duplicate filter: zones that form within 3× buffer distance of an existing major zone, or 2× for minor zones, are suppressed to prevent visual clutter from overlapping levels.
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05 — Smart Entry System
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Entry signals fire when two conditions align simultaneously:
1. Price interacted with a major support or resistance zone on the previous bar (low touched support zone / high touched resistance zone)
2. RSI confirms momentum exhaustion — oversold for long entries (default below 35), overbought for short entries (default above 65)
A stop loss line is drawn automatically at the time of entry — positioned below the support zone bottom for longs, above the resistance zone top for shorts, with an additional SL buffer applied.
The zone must also be older than the maximum of both swing lookback periods — this prevents entries on zones that were just created and not yet validated by subsequent price action.
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06 — Settings
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Liquidity Zones
Major Swing Lookback — pivot detection window for major zones. Default: 20.
Minor Swing Lookback — pivot detection window for minor zones. Default: 8.
ATR Length — ATR lookback for buffer calculation. Default: 14.
Max Zone Age (bars) — zones older than this are replaced. Default: 300.
Buffer
Buffer Mode — ATR / Percent / Fixed. Default: ATR.
ATR Multiplier — zone half-width as ATR multiple. Default: 0.5.
Percent Buffer % — zone half-width as % of price. Default: 0.15%.
Fixed Buffer — zone half-width in ticks. Default: 500.
Entry — RSI
RSI Length — default: 14.
RSI Overbought — short entry filter threshold. Default: 65.
RSI Oversold — long entry filter threshold. Default: 35.
Entry — SL
SL Mode — ATR / Percent / Fixed. Default: ATR.
SL ATR Multiplier — SL distance as ATR multiple. Default: 1.5.
SL Percent % — SL as % of price. Default: 0.5%.
SL Fixed (pips) — SL in ticks. Default: 800.
Entry — Visual
Show Entry Signals — enable/disable arrows and SL lines.
SL Line / Long Arrow / Short Arrow — color settings.
Colors
Major Resistance / Support — zone fill color for major levels.
Minor Resistance / Support — zone fill color for minor levels.
Filled Zone — border color for invalidated zones.
Resistance / Support Border — active zone border color.
Confirmed Border — border color when touch count ≥ 2. Default: yellow.
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07 — How To Use
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Step 1 — Identify the active zones
Major zones (darker, thicker border) are the primary levels. Minor zones provide secondary context within the structure.
Step 2 — Watch for confirmed zones
Yellow border = zone has been tested and held at least twice. These are the highest-priority levels to trade from.
Step 3 — Wait for the entry signal
A triangle arrow appears when price touches a major zone with RSI confirming exhaustion. The SL line shows the invalidation level automatically.
Step 4 — Read zone fill intensity
Darker fill = more touches = stronger institutional interest at that level. Lighter fill = fresh zone, treat with less conviction.
Step 5 — Monitor filled zones
Gray dashed zones that price returns to after being filled often flip polarity — former resistance becomes support and vice versa. Watch for interaction at these levels even after they are invalidated.
Step 6 — Alerts
Two alert conditions are pre-configured:
S/R-3: LONG — long entry at support zone with RSI oversold
S/R-3: SHORT — short entry at resistance zone with RSI overbought
Works on all asset classes: Indices, Forex, Gold, Oil, Crypto.
Best timeframes: H1, H4, D1. Indicator
Indicator
Indicator
SR LevelsSR Levels — Multi-Timeframe Support & Resistance with SR-Anchored VWAP
OVERVIEW
SR Levels Pro is an overlay indicator that plots higher-timeframe support and resistance levels on your chart with a clean, minimal layout. It focuses on widely used structural levels — previous day/week/month/year highs and lows — plus optional session levels (Asia, London, New York).
The goal is simple: show where price is relative to key reference levels, how far away each level is, and whether volume-weighted price action is accepting or rejecting a level after a touch.
This script is designed for traders who use HTF structure, session context, and level-based decision making on lower timeframes.
KEY FEATURES
• HTF Structure Levels
Previous Day/Week/Month/Year High and Low (PDH, PDL, PWH, PWL, PMH, PML, PYH, PYL)
Each timeframe uses a distinct color for quick identification
• Smart Level Display
Thin cross markers on a short right-side segment — not full-width lines
Optional proximity filter: hide levels until price is within range
Price labels show level name, exact price, and % distance from current price
Example: PDH 77766.4 +1.42%
• Session Levels (Optional, Off by Default)
Previous session high, low, and open for Asia, London, and New York
Customizable session times and timezone
• SR-Anchored VWAP
When price touches an active S/R level, VWAP begins tracking from that anchor
Green VWAP above anchor = potential acceptance
Red VWAP below anchor = potential rejection
Shaded fill between VWAP and anchor shows the acceptance/rejection gap
Auto-deactivates after max bars or when price moves too far from the level
• Optional Signals (Off by Default)
Triangles = bullish/bearish rejection at scored S/R levels
Diamonds = PDH/PDL volume breakouts
Confluence scoring, EMA trend filter, volume filter, and cooldown
Built-in alerts for rejections and breakouts
HOW TO USE
1. Add to any chart (stocks, crypto, forex, futures).
2. Defaults show PDH, PDL, PWH, PWL. Session levels and signals are off.
3. Read right-edge labels for price and % distance from each level.
4. Watch SR-Anchored VWAP when price approaches a level for acceptance vs rejection.
5. Enable signals only if you want entry markers. Adjust score and cooldown for your timeframe.
6. For forex/futures, set Session Timezone and session hours to match your market.
SETTINGS
Core: touch tolerance, visibility range, cross segment length, price labels
HTF: toggle day/week/month/year levels and colors
Session: Asia/London/NY H/L/O with custom times
VWAP: max bars, deactivate distance, bull/bear colors
Signals: master toggle, breakout diamonds, min score, cooldown, filters
ALERTS
• SR: Long Rejection
• SR: Short Rejection
• SR: Bull Breakout (above PDH)
• SR: Bear Breakout (below PDL)
RECOMMENDED TIMEFRAMES
Intraday (1m–15m): PDH/PDL + PWH/PWL, optional sessions
Swing (1H–4H): PWH/PWL + PMH/PML
Position (D/W): PMH/PML + PYH/PYL
DISCLAIMER
This indicator is for educational and informational purposes only. It is not financial advice and does not recommend buying or selling any instrument. Trading involves risk. Past results do not guarantee future performance. Always do your own research and use proper risk management.
NOTES
HTF levels use the prior completed period high/low. Signals are optional and disabled by default. SR-Anchored VWAP accumulates on confirmed bars only. Indicator
Bollinger Band EMA script with active watchlist Bollinger Band Stop-Hunt Screener
This indicator is a custom Bollinger Band screener designed to identify potential swing trading setups based on the Bollinger Band + 9 EMA stop-hunt concept.
The logic is inspired by a strategy that looks for trend continuation after price pulls back toward the opposite Bollinger Band. The idea is to find stocks that are in an active trend but temporarily stretched toward a reversal zone, creating a possible swing entry opportunity.
How it works
The screener checks a custom list of symbols and classifies each one as:
BUY CALL
Price is in an uptrend, touches or rejects the lower Bollinger Band, and forms a bullish candle.
CALL WATCH
Price is in an uptrend and trading near the lower Bollinger Band, but confirmation has not happened yet.
BUY PUT
Price is in a downtrend, touches or rejects the upper Bollinger Band, and forms a bearish candle.
PUT WATCH
Price is in a downtrend and trading near the upper Bollinger Band, but confirmation has not happened yet.
NEUTRAL
No valid setup is currently detected.
Main components
Bollinger Bands: 20-period, 2 standard deviations
9 EMA trend filter
Near Band % filter for early watchlist signals
Optional gap filter
Chart-timeframe based scanning
Clean table display for multiple symbols
Optional Bollinger Band and EMA chart plotting
Alerts for BUY CALL, BUY PUT, CALL WATCH, and PUT WATCH conditions
Best use
This screener is designed for traders looking for pullback-based swing entries, especially on the 4H or Daily timeframe. It can also be used on shorter timeframes, but lower timeframes may produce more noise.
For longer-dated options swing trading, the Daily chart is generally preferred.
Important note
This script is not financial advice and does not guarantee profitable trades. It should be used as a watchlist and confirmation tool, not as a standalone buy/sell system. Always combine signals with your own analysis, support/resistance, volume, market trend, and risk management. Indicator
Indicator
Trading Checklist with ScoreThis indicator displays a customizable trading checklist directly on the chart.
It is designed to help discretionary traders organize their trade validation process before entering a position. The script does not generate buy or sell signals, does not automate trading decisions, and does not make any performance claims.
Main features:
• Up to 20 checklist rows
• 10 rows displayed by default
• Adjustable number of visible rows from 1 to 20
• Optional trade score based only on the visible checklist rows
• Custom text for each checklist item
• Custom table position, colors, text size, and header
• Optional symbol pinning, so the checklist can be linked to one chart symbol
How to use:
1. Add the indicator to the chart.
2. Open the indicator settings.
3. Edit each checklist row with your own trading criteria.
4. Select the number of visible rows.
5. Check or uncheck each row depending on your trade plan.
6. Use the score as an organizational aid, not as a trading signal.
This script is intended for education, journaling, and discretionary trade preparation. It does not predict market direction and should not be used as a standalone trading system.
Credits:
This version was customized and published by Faouzi Community. If this script is based on or inspired by another open-source checklist script, credit to the original author must be preserved according to PulseWire’s open-source reuse rules. Indicator
Indicator
Strategy
@santoshpsiii Crypto AlgoThis is a fully automated multi-timeframe quantitative strategy designed specifically for high-volatility Crypto markets (BTC, ETH, and major Altcoins). It combines trend-following momentum with an advanced volatility filter to eliminate bad trades in sideways/choppy markets.
📊 KEY FEATURES:
1. Multi-Timeframe (MTF) Dashboard: Displays the real-time SuperTrend status across 5M, 15M, 1H, and 4H timeframes directly on your screen.
2. Advanced Chop Filter: Uses Bollinger Bands Width (BBW) compression logic to identify squeeze zones. If the market is flat/choppy, the strategy automatically switches to "WAITING" mode and changes the background color to orange.
3. Fully Automated Execution: Triggers dynamic 'buy_long', 'close_long', 'sell_short', and 'close_short' webhook alerts optimized for automated execution via crypto trading bridges.
⚙️ STRATEGY LOGIC:
- Long Entry: Triggers when the market is in a "TRENDING" state (BBW > Base MA) and the current SuperTrend flips to Bullish.
- Short Entry: Triggers when the market is in a "TRENDING" state (BBW > Base MA) and the current SuperTrend flips to Bearish.
- Automatic Exit: Positions are automatically closed and reversed when the core SuperTrend direction shifts, acting as a dynamic trailing stop-loss.
💡 BEST USAGE:
- Timeframes: Optimized for 5-minute and 15-minute charts.
- Pairs: Highly volatile Crypto pairs like BTCUSDT, ETHUSDT, etc.
- Strategy
Aquila Reale Correlations v1.1🦅 AQUILA REALE CORRELATIONS v1.1
Inter-market correlation dashboard for any two assets, with multi-timeframe analysis, spread monitoring, and regime detection.
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📊 WHAT THIS INDICATOR DOES
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Calculates the Pearson correlation coefficient between two user-defined assets across 4 timeframes simultaneously (15M, 1H, 4H, Daily) and presents the result in a single-glance dashboard.
Default configuration: XAUUSD vs WTI (FP Markets), but fully configurable for any pair — Gold/DXY, BTC/SPX, EUR/USD vs DXY, equities vs bonds, etc.
The dashboard provides:
- Multi-timeframe correlation matrix with regime classification (STRONG DIRECT / WEAK DIRECT / NEUTRAL / WEAK INVERSE / STRONG INVERSE) on 15M, 1H, 4H, and Daily
- Aggregate count to identify if the correlation regime is consistent across timeframes or in transition
- Spread analysis (ratio Asset1 / Asset2) with deviation from medium-term (EMA50) and long-term (EMA200) averages, plus configurable historical thresholds
- Regime verdict: DIRECT / INVERSE / NEUTRAL / AMBIGUOUS, declared only when ≥3 of 4 timeframes are aligned
- Pre-configured alerts for regime shifts, spread extremes, and 4H correlation crossings
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🎯 USE CASES
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1. Detect regime shifts: Know when historically uncorrelated assets are temporarily moving in lockstep, or vice versa.
2. Validate macro thesis: Confirm your inter-market reading with a numeric measure across multiple timeframes.
3. Identify spread extremes: Spot when asset relationships are stretched (e.g. Gold/Oil ratio above 40 historically signals macroeconomic stress).
4. Filter trade signals: Use the regime verdict as a context filter for other strategies and indicators.
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⚙️ SETTINGS
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- Symbols: Asset 1 and Asset 2 (any PulseWire symbol)
- Correlation period: Default 50 candles (lower = reactive but noisy; higher = stable but lagging)
- Strong/Neutral thresholds: Configurable correlation cutoffs (defaults 0.5 / 0.2)
- Spread EMAs: Fast and slow EMAs applied to the asset ratio
- Historical spread thresholds: Customizable per asset pair
- Layout: 3 sections individually toggleable, 9 position options on the chart
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📌 IMPORTANT NOTES ON INTERPRETATION
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- Correlation is a STATISTICAL measure, not a directional trading signal. A strong inverse correlation does not mean "go long one and short the other" — it means the two assets are moving in opposite directions over the lookback window.
- Strong correlations across multiple timeframes suggest a stable regime; mixed readings across timeframes indicate transition or noise.
- For Gold/WTI specifically: the historical baseline correlation is weakly DIRECT (approximately +0.3 to +0.5). Strong INVERSE readings typically reflect temporary supply-side shocks affecting only one asset (e.g. geopolitical events impacting oil supply) and tend to revert over time.
- Correlation is a LAGGING indicator. A change in market regime is reflected in the rolling coefficient only after several candles. Use it for context, not for timing entries.
- The "AMBIGUOUS" verdict is informative: it tells you the correlation structure is not stable, and inter-market signals should be treated with extra caution.
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⚠️ WARNINGS AND DISCLAIMERS
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NOT FINANCIAL ADVICE
This script is for educational and informational purposes only. It does not constitute financial, investment, or trading advice. Nothing in this indicator should be interpreted as a recommendation to buy, sell, or hold any financial instrument.
NO GUARANTEE OF FUTURE BEHAVIOR
Past correlation patterns do not guarantee future behavior. Asset relationships change over time, especially in response to macroeconomic regime shifts, central bank policy changes, geopolitical events, and structural market changes.
USE AT YOUR OWN RISK
Trading financial instruments (stocks, forex, crypto, futures, CFDs, commodities) carries a high level of risk and may not be suitable for all investors. Before making any trading decision you should carefully consider your investment objectives, level of experience, and risk appetite. You may sustain a loss of some or all of your initial capital.
NOT A STANDALONE SYSTEM
This indicator does NOT generate buy/sell signals. It provides context for macro analysis. Always combine it with your own technical analysis, fundamental analysis, and proper risk management.
DO YOUR OWN RESEARCH
Always cross-check signals against multiple tools and your own market analysis. Do not rely on a single indicator for trading decisions. Past performance shown in any chart or example is not indicative of future results.
DATA LIMITATIONS
Correlation calculations rely on accurate price data from the broker/exchange feed. Results may vary across different data providers. Volume data on forex and CFD instruments comes from individual brokers and may not reflect true market activity.
NO AFFILIATION
The author is not affiliated with PulseWire, any broker, exchange, or financial institution. This script is independent and provided free of charge.
LIABILITY
The author shall not be held liable for any loss or damage, including but not limited to financial losses, arising from the use of this indicator. By using this script you accept full responsibility for your trading and investment decisions.
PAPER TRADE FIRST
Always test any indicator and the strategies built around it on a demo account or with paper trading before risking real capital.
By using this indicator you acknowledge that you have read, understood, and accepted all the above terms.
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💬 FEEDBACK
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This is v1.1, the first public release. Feedback is welcome — please leave a comment if you find bugs, have suggestions, or want to share your results with different asset pairs.
Happy charting! 🦅 Born to fly, born to dare. Indicator
Latencia Public [L1]Latencia Public · a minimal visual layer for reading the latency between cause and effect on any market.
What it does
Three context EMAs · 20, 50, 200 · over the candles. A subtle backdrop that marks high vs low volatility regime using ATR percentiles. A discreet Latencia mark in the lower-right corner.
The point is not the formula · it's the reading. EMAs ordered and well-separated speak to a trend with room. Compressed EMAs speak to indecision. The terracotta wash marks that conditional variance rose · the forest-green wash marks that the market is sleeping. When the regime changes, price reacts after.
How to use it
Drop it on any symbol · works the same on BTC, on LATAM pairs, on commodities. The volatility regime is asset-agnostic.
Timeframe · daily for macro · weekly for cycle · 4h for timing.
Combine with your own structure · this is context, not a signal.
Foundations
EMAs · Wilder 1978, popularized by Murphy 1999 as the standard adaptive moving averages.
ATR · Wilder 1978. Realized volatility is the base of any serious regime read.
Conditional regime · narrative economics (Shiller 2017) · the variance of narratives precedes the variance of price.
When NOT to use it
Ultra-illiquid markets · ATR percentiles are noise.
The first 200 bars of any symbol · EMA 200 has no history to stabilize.
Structural-break events · no regime detector works through discontinuities.
Latencia teaches frameworks institutional money uses to read markets, translated to LATAM Spanish. This is educational. NFA · DYOR.
En español
Latencia Public · una capa visual mínima para leer la latencia entre causa y efecto en cualquier mercado.
Tres EMAs de contexto · 20, 50, 200 · sobre las velas. Un fondo sutil que marca régimen de volatilidad alta vs baja usando ATR percentiles. Marca discreta de Latencia en esquina inferior derecha.
Lo importante no es la fórmula · es la lectura. Las EMAs ordenadas y separadas hablan de tendencia con margen. Las EMAs comprimidas hablan de indecisión. El fondo terracota marca que la varianza condicional subió · el verde forestal marca que el mercado está dormido. Cuando el régimen cambia, el precio reacciona después.
Cargar sobre cualquier símbolo · funciona igual en BTC, en pares LATAM, en commodities. Marco temporal · diario para macro · semanal para ciclo · 4h para timing. Combinar con tu propia estructura · esto es contexto, no señal.
Latencia enseña marcos que el dinero institucional usa para leer mercados, traducidos al español de LATAM. Esto es educativo. NFA · esto no es consejo financiero · DYOR.
Indicator
Indicator
Shmita Cycles | Astral Vision Shmita Cycles | Astral Vision 🌠💠
This indicator marks the Shmita years on the Bitcoin chart, highlighting the start and end dates of each seven-year biblical cycle and shading the entire period between them.
The Shmita (Hebrew for "release" or "sabbatical year") is a one-year period that occurs every seven years in the Jewish calendar, during which debts are cancelled and land lies fallow.
A number of analysts and researchers have observed that Shmita years have historically coincided with significant financial market stress and Bitcoin cycle lows, making it an unconventional but recurring point of reference in crypto market cycle analysis.
Calculation ⚙️
The indicator contains three hardcoded Shmita periods with their precise start and end dates derived from the Jewish calendar:
First period: September 25, 2014 to September 13, 2015. This window encompasses Bitcoin's bear market trough and the beginning of the 2015 to 2017 recovery cycle.
Second period: September 7, 2021 to September 25, 2022. This window encompasses the peak of the 2021 bull market and the subsequent bear market, including the FTX collapse and the cycle bottom.
Third period: September 23, 2028 to September 11, 2029. This is the projected future Shmita year based on the fixed seven-year cadence of the Jewish calendar.
On each bar, the indicator checks whether the current bar's timestamp falls within any of the three defined periods. If it does, a background color is applied to the chart for that bar, producing a continuous shaded zone across the entire Shmita window.
At the last bar, three glow lines are drawn at each Shmita start and end date. Each glow is composed of three overlapping vertical lines at the same timestamp: a wide line at 80% transparency, a medium line at 55% transparency, and a thin line at 0% transparency, producing a layered luminous effect. The start date uses the positive theme color and the end date uses the negative theme color, visually distinguishing entry into and exit from each Shmita window.
The vertical lines extend from a fixed high value of 10,000,000 to a fixed low of 10.0, covering Bitcoin's entire historical and plausible future price range on a logarithmic scale without distorting the chart the way coordinate-based approaches would.
Plots 📊
Background color shading across each Shmita period
Glow vertical line at each Shmita start date in the positive theme color
Glow vertical line at each Shmita end date in the negative theme color
Inputs 🎛️
No date or period inputs: the three Shmita windows are hardcoded to the Jewish calendar dates
Colors 🎨
5 Astral Vision presets + custom override. Default: Inferno.
Purpose 🎯
The Shmita cycle is not a technical indicator in the conventional sense: it does not use price, volume, or any mathematical transformation of market data. Its value lies in providing a fixed external temporal reference that has shown empirical overlap with Bitcoin market cycle turning points across the two completed Shmita years since Bitcoin's inception, offering a non-price-derived framework for contextualizing where the current market might sit within a longer macro rhythm. Displaying the future 2028-2029 Shmita window allows traders to mark a calendrical reference point for the projected next cycle without any assumptions about price level.
Disclaimer ⭕️
This indicator is for informational and educational purposes only. It does not constitute financial advice. Past performance is not indicative of future results. Always do your own research before making investment decisions. Indicator
Indicator
Tom Nash Rules for DCA + 2X or 3XThe Rational Discount Tracker: A Value Investor’s Guide to Buying the Fear
The Philosophy: Data Over Emotion
In the markets, whether you are looking at equities or digital assets, emotion is the enemy of retail investors. When the market bleeds, the masses panic-sell high-quality assets at a steep loss.
Financial analyst and commentator Tom Nash champions a distinctly contrarian, data-driven approach to these moments: Buy the fear, but only when the fundamentals haven't changed. When a high-conviction asset drops 20%, 25%, or 30% from its recent highs, it isn't necessarily a falling knife—it’s a systemic discount.
However, timing these entries requires stripping away the noise of the 15-minute chart and looking at the macro picture. That is exactly what this indicator is designed to do. It visually maps out your predefined "discount zones" while simultaneously monitoring the broader macroeconomic health via the S&P 500.
Core Features
1. The "Discount Zone" Ray
Instead of cluttering your chart with moving averages and lagging oscillators, this indicator cuts straight to the point. It identifies the absolute highest high over your chosen lookback period (default 365 bars for 24/7 markets) and draws an infinite, clean ray at your target discount level (selectable in 5% increments).
The Nash Play : If you have high conviction in an asset's utility, set the drop line to 20% or 30%. When the price crosses this line, it signals that the asset has entered a historically significant discount territory, triggering your Dollar Cost Averaging (DCA) strategy.
2. Independent Macro Tracking (The S&P 500 HUD)
You cannot accurately assess a dip without understanding the broader market context. Is your asset bleeding because of terrible internal news, or is it bleeding because the entire market is experiencing a liquidity crunch?
This indicator features a customizable, floating Heads-Up Display (HUD) that tracks the S&P 500’s distance from its All-Time High, completely independent of the chart you are currently viewing.
Real-Time Warning: If the S&P 500 drops past your specified percentage, the HUD flashes red. This tells you instantly if the discount in your specific asset is a localized event or a macro-level market correction.
3. ATH and ATL Visualizers
Toggle on the 1-Year High (ATH) and 1-Year Low (ATL) rays to instantly visualize the asset's macro trading range. All lines are formatted dynamically, scaling perfectly whether you are tracking fractional cent assets or legacy blue-chip stocks.
How to Trade With It
This tool is not a signal to blindly buy every dip. It is a framework for disciplined accumulation.
Do the Fundamental Work First: Identify assets with strong balance sheets, clear utility, and long-term viability.
Set Your Trap: Adjust the indicator to reflect your target entry discount (e.g., 20% from the 1-Year High).
Monitor the Macro: Watch the S&P 500 table. If the broader market is flashing red alongside your asset, you are likely looking at a systemic overreaction—the exact environment where generational wealth is built.
Execute: When price action drops below your purple ray, ignore the market panic, trust your fundamental research, and execute your DCA strategy. Indicator
Internal & External MSSHere is a quick breakdown of what it does and its key features:
Dual Tracking (Internal vs. External): It calculates two different sets of market swings simultaneously. It tracks smaller, short-term price movements (Internal MSS) and larger, structural price movements (External MSS).
Overlap Prevention: To keep your chart clean, if a short-term Internal shift and a long-term External shift occur at the exact same price level, the script is programmed to only draw the more significant External level.
Wick vs. Body Calculation: You can toggle the settings to define market structure using either the extreme highs/lows of the candle wicks, or the real bodies (open/close) of the candles.
Smart Label Placement: Breakout lines are drawn horizontally from the broken swing point, and text labels (like "E-MSS" or "i-MSS") automatically float above or below the lines so they don't collide with the drawings.
Fully Customizable Visuals: Through the settings menu, you can easily change the line colors, thickness, dashed/solid styles, and the exact text used for the labels without needing to edit the code again. Indicator
Indicator
Santosh Kumar's Triple ST Sniper v6.1
This indicator is a pure price-action and momentum confluence system based on three distinct layers of SuperTrend filters, specifically optimized for the 15-Minute (15M) timeframe. It completely removes the lag of traditional moving averages and focuses purely on high-velocity trend capturing and dynamic support/resistance zones.
### 📊 System Settings (Parameters Used):
* **Fast SuperTrend:** Period 10, Multiplier 1.0 (Used as Momentum Sensor & Exit Trigger)
* **Medium SuperTrend:** Period 12, Multiplier 2.0 (Used as Core Stop-Loss & Primary Bounce Zone)
* **Slow SuperTrend:** Period 14, Multiplier 2.5 (Used as Major Structural Trend Base)
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### 🎮 Trading Rules & Execution Strategy (Hinglish Guide):
1. Entry Trigger:
* 🚀 BUY Signal: Jab teeno SuperTrends ek saath GREEN ho jaate hain, tab Dashboard par "BUY" flash hota hai. Yeh ek fresh entry point hai normal base quantity ke saath.
* 💥 SHORT Signal: Jab teeno SuperTrend lines ek saath RED zone me convert hoti hain, tab Dashboard "SHORT" command dikhata hai.
2. The Bounce Back (Pyramiding / Leverage Top-up):
* Uptrend me entry lene ke baad, jab price niche pullback leta hai aur Medium ST (12, 2.0) ya Slow ST (14, 2.5) line par aakar support (rejection) dikhata hai, wahan position size ya leverage ko badhaya (scale-in) ja sakta hai.
* Stop Loss: In that case, strict SL is trailing just below the bounce candle's low.
3. Target/Momentum Exit:
* Jaise hi market ek sharp spike deta hai aur top par trend exhausted hota hai, sabse pehle Fast ST (10, 1.0) flip maarta hai. Dashboard turant "EXIT (FAST ST REVERSAL)" alert flash karega to lock profits immediately.
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### 🎛️ Premium On-Screen Dashboard:
The script includes a clean, real-time UI table on the top-right corner showing:
* Owner Name: Santosh Kumar (@santoshpsiii)
* Live trend color matrix of all 3 SuperTrends simultaneously.
* Final Action trigger (BUY / SHORT / EXIT / WAIT) based on live candle closes.
*Disclaimer: This tool is designed for algorithmic visualization and manual momentum trading Indicator
Strategy
