Buy Sell Momentum Entries v2Momentum Entries v2 is a simple buy/sell confirmation indicator built to find strong continuation candles after momentum begins.
It is not meant to predict every move or catch every reversal. The goal is to filter for cleaner entries where price is already showing displacement, direction, and follow-through.
I personally like these settings on the 1-minute chart:
Confirmation Push Ticks: 40
Min Body %: 60
Cooldown Bars After Signal: 0
Block Same-Side Repeats: On
Fast EMA: 9
Slow EMA: 21
Use Fast EMA Filter: On
Use Slow EMA Filter: On
Require Fast EMA Above/Below Slow EMA: On
You can adjust the settings however you like depending on your market, timeframe, and trading style.
Important settings:
Confirmation Push Ticks:
How far price must push in the signal direction before a buy or sell can appear. Higher = fewer signals, stronger momentum required.
Min Body %:
Requires the candle body to be a certain percentage of the full candle range. Higher = stronger candles only.
Cooldown Bars After Signal:
Stops the indicator from giving another signal for a set number of bars after a signal. Higher = fewer signals.
Block Same-Side Repeats:
Prevents repeated buy-after-buy or sell-after-sell signals. This helps keep the chart cleaner.
Fast EMA Length:
The shorter EMA used for direction and trend confirmation.
Slow EMA Length:
The longer EMA used to confirm broader direction.
Use Fast / Slow EMA Filter:
Requires price to be on the correct side of the selected EMA before a signal appears.
Require Fast EMA Above/Below Slow EMA:
For buys, the fast EMA must be above the slow EMA.
For sells, the fast EMA must be below the slow EMA.
This helps avoid taking signals against the short-term trend.
Best use:
Use this as an entry confirmation tool, not a full trading system by itself. It works best when combined with your own levels, market structure, sweep areas, support/resistance, or higher-timeframe bias. Gösterge
NQ Chop FilterNQ Chop Filter is a volatility and trade-confidence meter built for short-term NQ trading, especially on the 30-second chart.
This indicator is not a buy/sell signal and it is not meant to replace a trading strategy. It is designed to help judge whether current market conditions are strong, normal, cautious, or dangerous before managing risk.
The meter studies recent candle range, fast range expansion/compression, net price movement, directional efficiency, and wider trend/grind movement.
The dashboard gives a simple reading:
HIGH
Strong volatility and movement. Full confidence conditions. Larger targets are more reasonable.
NORMAL
Conditions are acceptable. Trading is still okay, but avoid sizing up blindly.
CAUTION
Market is less clean. Trade smaller, be more selective, and manage risk tighter.
DANGER
Weak movement or poor follow-through. Reduce size or wait.
How to use:
1. Add the indicator to an NQ chart.
2. Best used on the 15-second to 2-minute timeframe. Best on 30s.
3. Watch the dashboard before taking a trade.
4. Use HIGH and NORMAL as cleaner environments.
5. Use CAUTION and DANGER as risk warnings, not automatic signals.
6. Do not use this indicator by itself for entries.
7. Combine it with your own entry model, stop loss, take profit, and daily risk rules.
The main purpose is to avoid blindly trading the same size in all market conditions. It helps identify when the market is moving cleanly versus when price is slow, compressed, or choppy.
This script is for educational and informational purposes only. It is not financial advice. Gösterge
Nasdaq XXX20 / XXX50 / XXX80 Horizontal LevelsThis indicator automatically plots Nasdaq horizontal levels at XXX20, XXX50, and XXX80. Ideal for intraday trading on NQ, MNQ, NDQ, and NDX, with timeframes less than or equal to 5min.
This script highlights powerful reaction levels for entries, exits, stops, and targets.
Key Features
----------------
- Draws XXX20 (teal), XXX50 (light gray/ivory), and XXX80 (orange) levels extending across the chart.
- Dynamically anchors around the current price, showing ±25 blocks by default (50+ levels total, adjustable).
- Optional price range filter to declutter charts by limiting levels to a specific zone.
Inputs
--------------
- Toggle individual level types (XXX20 / XXX50 / XXX80).
- Line colors and width.
- Block size (default 100).
- Price range filter (show only levels between Min and Max price). Gösterge
NTR: NASDAQ M1 - Trend RunnerNASDAQ M1 - MACD Trend Runner is a systematic trend continuation strategy specifically designed and optimized for the NASDAQ index on the 1-minute timeframe.
The strategy was developed around a simple observation:
Strong directional movements in NASDAQ often emerge after temporary pullbacks toward key moving averages while underlying momentum remains intact.
Instead of attempting to predict reversals or market turning points, the objective of this framework is to identify favorable re-entry opportunities within an existing bullish environment and allow winning positions to develop through dynamic trade management.
CORE CONCEPT
The strategy combines momentum, trend structure, market positioning, and risk control into a single execution model.
A valid setup requires:
• MACD bullish crossover.
• Momentum developing from lower MACD values.
• Price trading within a defined proximity to the 200-period moving average.
• Positive higher-order trend structure measured through the slope of the 50-period moving average.
• Time-of-day filtering to focus on periods of meaningful market participation.
This combination seeks to isolate moments where price temporarily retraces into trend support before resuming directional movement.
TRADE MANAGEMENT
Risk management is based on market structure rather than fixed stop distances.
Initial stop placement is determined using recent technical lows, creating a structure-based risk framework that adapts to changing market conditions.
Once a position develops sufficient unrealized profit, the strategy transitions into a trailing stop model designed to protect gains while allowing extended trend participation.
The goal is not to maximize win rate.
The goal is to capture asymmetric reward opportunities where a limited number of successful trades can outweigh multiple small losses.
KEY FEATURES
• MACD Momentum Confirmation
• SMA200 Trend Location Filter
• SMA50 Slope Validation
• Technical Structure-Based Stop Loss
• Dynamic Trailing Stop Management
• Session-Based Time Filter
• Daily Trade Limitation Logic
• Daily Profit Protection Logic
• Visual Diagnostic System
• Re-entry Detection Framework
DESIGN PHILOSOPHY
This strategy is intentionally specialized.
It was developed, tested, and refined specifically for NASDAQ price behavior on the 1-minute timeframe.
While certain concepts may be transferable to other instruments, the framework was not designed as a universal trading system.
The primary objective is to exploit recurring short-term trend continuation behavior observed within NASDAQ intraday market structure.
DISCLAIMER
This strategy is provided for educational and research purposes only.
Past performance does not guarantee future results. All trading involves risk, and users should perform their own analysis and validation before applying any strategy in live market conditions.
Created by @Peter_n_n Strateji
Plasma Flow [LunqFX]Plasma Flow is a VWAP-based market regime and signal engine designed to help traders answer one question before taking any trade:
Is the market actually tradable right now?
Most VWAP tools only show where price is relative to fair value. Plasma Flow goes further by measuring how price is behaving around VWAP through four live dimensions: velocity, pressure, turbulence, and multi-timeframe flow bias.
The goal is simple:
filter out noisy conditions, highlight cleaner environments, and rank signals by quality instead of printing entries everywhere.
WHAT THIS INDICATOR DOES
Plasma Flow builds a dynamic VWAP structure with inner and outer statistical bands, then evaluates the market through a regime model.
It shows:
• Regime — whether the market is in Laminar Flow, Expansion, Contraction, Breakout, or Consolidation
• Velocity — how fast VWAP is moving relative to current volatility
• Pressure — how far price is stretched from VWAP
• Turbulence — whether the market is calm enough to trust signals
• Flow Bias — whether current and higher timeframes agree on direction
• Signal Quality — a simple 1 to 5 score for each setup
• Next Target — the nearest projected band level from current price
This makes Plasma Flow useful both as a standalone decision tool and as a market-condition filter for existing strategies.
💡 WHAT IS VWAP AND WHY IT MATTERS
VWAP stands for Volume Weighted Average Price. It is the
average price that all buyers and sellers have paid over a
period of time, weighted by how much volume traded at each
price. Banks, hedge funds and institutional traders use VWAP
as their primary benchmark.
Here is why this matters for you:
When price is far above VWAP, institutions look to sell.
When price is far below VWAP, institutions look to buy.
This creates a gravitational pull — price tends to return
to VWAP after stretching too far in either direction.
Plasma Flow measures exactly how far price has stretched,
whether the stretch is real or just noise, and whether
conditions favor a snap-back entry right now.
📏 WHAT IS σ (SIGMA) — EXPLAINED SIMPLY
Sigma (σ) is a measure of distance from average, adjusted
for how volatile the market currently is.
Think of it like this:
On a calm day, if price moves $10 away from VWAP that might
be extreme. On a volatile day, $10 is nothing — price does
that every 5 minutes. Sigma automatically adjusts for this.
1.0σ = price is moderately stretched from VWAP
2.0σ = price is significantly stretched — reversal zone
3.0σ = price is at an extreme — statistically rare
The outer bands on the chart are drawn at ±1.5σ and ±2.8σ.
When price touches the 1.5σ band, that is your entry trigger.
When price reaches 2.8σ, that is your hard stop and extreme
take-profit zone. No guessing required — the math does it.
🌊 THE 5 MARKET REGIMES — WHAT EACH MEANS
The Regime banner is the first thing to check every time
you open a chart. Here is what each state means in plain
English and what to do in each one:
LAMINAR FLOW — 🟢 Best conditions
The market is moving smoothly and predictably. Price is
trending cleanly without random spikes and reversals.
Institutional flow is dominant — retail noise is low.
What to do: This is when you trade. All signals that fire
in LAMINAR FLOW have the highest probability. Watch for
signal labels and check the Quality Score. LAMINAR + ★★★
or above is your ideal setup.
EXPANSION — 🟡 Momentum building
Price is accelerating away from VWAP. Momentum is building
and the market is starting to trend. This can precede a
breakout or a sharp reversal when it runs out of energy.
What to do: Do not fight the move. If a LONG signal fires
during EXPANSION, it is a trend-continuation play.
If you are already in a trade, hold and trail your stop.
CONTRACTION — 🟠 Energy compressing
Price is pulling back toward VWAP after a stretch. Momentum
is slowing. This is the mean-reversion sweet spot — price
returning from an extreme to its fair value.
What to do: Watch carefully. This is often when the best
reversal signals appear. A SHORT signal during CONTRACTION
after a high-sigma stretch is a high-quality mean-reversion
trade. Check pressure reading — if it is HIGH or EXTREME,
the snap-back is likely strong.
BREAKOUT — 🔴 High volatility, be careful
Price has broken outside the normal bands and volatility
is spiking. This can be a genuine trend start or a stop-hunt
followed by reversal. Either way — unpredictable.
What to do: No new entries. If you are in a trade already,
tighten your stop or take partial profits immediately.
Wait for the regime to stabilize back to LAMINAR before
looking for new entries. Chasing breakouts is where most
retail traders lose money.
CONSOLIDATION — ⚫ No edge, no trade
Price is stuck in a tight range around VWAP. There is no
clear direction and no momentum. Both buyers and sellers
are balanced — nobody is winning. Signals that fire here
have low follow-through and are not worth trading.
What to do: Close the chart and find another instrument.
There is no edge here. Trading consolidation is paying
spread and swap for random outcomes.
🌀 WHAT IS TURBULENCE — THE MOST IMPORTANT NUMBER
Turbulence is the single most important reading in the panel.
Think of it exactly like weather turbulence on a flight.
When turbulence is low — the flight is smooth, you can
walk around the cabin, everything is predictable.
When turbulence is high — even experienced pilots tell
everyone to sit down and buckle up, because they cannot
predict what comes next.
Markets work the same way.
Turbulence measures how erratic current price movement is
compared to the past 50 bars of normal behavior. It compares
right-now volatility to the average volatility baseline.
CALM (below 0.8) — The market is in smooth, predictable flow.
Price movements follow logic. This is when signals fire and
when trades have the highest probability of working.
MIXED (0.8 to 1.3) — Some noise present. Signals still appear
but reduce your position size. Not ideal but tradeable with
caution.
CHAOTIC (above 1.3) — The market is erratic and unpredictable.
No signals fire in this state regardless of what price does.
This is by design — these are exactly the conditions where
indicator-based trading fails and accounts get damaged.
This gating system alone — suppressing all signals when
turbulence is too high — is what separates Plasma Flow
from 90% of indicators on TradingView that generate signals
regardless of market conditions.
⚡ VELOCITY — IS MOMENTUM REAL OR FAKE?
Standard momentum indicators measure raw price speed.
The problem is that a 50-pip move on a calm Tuesday is
very different from a 50-pip move during NFP news.
Raw speed without context is meaningless.
Plasma Flow measures velocity as price speed divided by
current market noise. This means you are always seeing
momentum relative to what is normal for right now,
not what was normal 3 months ago.
CRASH — Price is collapsing extremely fast relative to
current volatility. A powerful move with real force behind it.
Mean-reversion coming.
FALLING / DOWN — Bearish momentum of varying strength.
FLAT — No meaningful direction. Market is resting.
UP / RISING — Bullish momentum building.
SURGE — Price is spiking extremely fast. Same logic as CRASH
but in reverse — a powerful move that often exhausts itself.
When VELOCITY shows CRASH or SURGE at the same time as
PRESSURE shows HIGH or EXTREME, you have the most powerful
mean-reversion setups the indicator produces.
🔭 WHY 3 TIMEFRAMES INSTEAD OF ONE
Here is a common trap: you are trading on the 15-minute
chart and see a perfect LONG signal. But on the 1-hour chart,
price is in a clear downtrend. You enter long — and price
drops straight through your stop loss.
Your lower timeframe signal was technically correct.
The higher timeframe context invalidated it completely.
Plasma Flow solves this by computing VWAP velocity
independently on three timeframes simultaneously — your
current chart, plus two higher timeframes (default H1 and H4).
It then shows you in the panel whether all three are pointing
in the same direction.
3/3 — Full alignment. All timeframes agree.
Highest conviction entries. Size up.
2/3 — Partial alignment. Two out of three agree.
Acceptable entry. Standard size.
1/3 — Conflicting signals. Timeframes disagree.
Skip the trade entirely. The market has no clear direction.
This multi-timeframe filter alone prevents a large percentage
of the false entries that kill most trading strategies.
⭐ QUALITY SCORE — YOUR POSITION SIZING GUIDE
Every signal gets a score from 1 to 5 stars. Think of this
as a confidence rating that tells you how much to risk.
★☆☆☆☆ POOR
Only one condition was met. This signal has no edge above
random chance. Do not trade it. Use it only for practice
or study.
★★☆☆☆ WEAK
Minimum threshold reached. Two conditions aligned.
If you trade it, use half your normal position size
and tighter stop. Acceptable for scalpers only.
★★★☆☆ GOOD
Three conditions aligned. This is a genuine signal with
real statistical backing. Standard entry with your
normal risk per trade.
★★★★☆ STRONG
Four conditions aligned. Everything is working together —
pressure, turbulence, and timeframe alignment are all
confirming. This is a high-conviction entry.
Consider sizing up 1.5x your standard risk.
★★★★★ PERFECT
All conditions simultaneously optimal. Extreme pressure,
very clean turbulence, full 3/3 timeframe alignment and
combined condition bonus all triggered at once.
This happens rarely — when it does, it tends to be
the highest quality trade of the week or month.
📋 HOW TO TRADE WITH PLASMA FLOW
Step-by-step — from chart open to trade close
STEP 1 — Open the chart and check REGIME first.
Look at the colored banner at the top of the panel.
LAMINAR FLOW = green light. Anything else = caution or skip.
STEP 2 — Check TURBULENCE.
CALM only for full-size entries. MIXED = half size max.
CHAOTIC = close the chart and find another instrument today.
STEP 3 — Check FLOW BIAS.
Look at the three timeframe arrows. Need 2/3 minimum.
If the arrows conflict (one up, two down or vice versa),
wait for alignment before looking for entries.
STEP 4 — Wait for a signal label on the chart.
▲ LONG appears below price in green.
▼ SHORT appears above price in red.
The label shows star rating and sigma reading.
STEP 5 — Read the sigma on the label.
This tells you how stretched price is right now.
-1.58σ on a LONG means price is 1.58 standard deviations
below VWAP — a meaningful stretch with reversal potential.
Higher absolute value = stronger mean-reversion setup.
STEP 6 — Confirm Quality Score is ★★★ or above.
Below ★★★ = skip or paper trade only.
★★★ to ★★★★★ = real entry with appropriate size.
STEP 7 — Set your stop loss.
For swing trades: just beyond the outer band (2.8σ level).
For scalps and day trades: just beyond the inner band
(1.5σ level on the other side of VWAP).
STEP 8 — Use NEXT TGT as take-profit reference.
The panel shows the nearest VWAP band from current price
with percentage distance. This is your first target.
At minimum take 50% off at NEXT TGT and trail the rest.
STEP 9 — Monitor REGIME while in the trade.
If regime switches to TURBULENT or BREAKOUT after entry,
exit the trade immediately regardless of P&L.
The market conditions that validated your entry no longer
exist. Do not wait for price to confirm — get out.
⚙️ SETTINGS EXPLAINED FOR BEGINNERS
VWAP Window — default 50
This is how many bars are used to calculate the average.
Smaller number = faster, more signals, more noise.
Larger number = slower, fewer but cleaner signals.
Day traders on M15: try 20-30.
Swing traders on H4: try 80-100.
Start with default 50 and only change after you understand
how the indicator behaves on your instrument.
Inner Band σ — default 1.5
This is the trigger line for signals. At 1.5 sigma,
price is moderately stretched — enough to have a reversal
edge but not so extreme that you are always waiting.
Increase to 2.0 if you only want to trade very stretched
extremes. Decrease to 1.2 for more frequent signals.
Outer Band σ — default 2.8
This is the extreme zone. Price reaching here is statistically
rare — less than 5% of the time. Use this as your hard stop
reference and maximum stretch target.
Cooldown Bars — default 5
After a signal fires, no new signal can appear for this
many bars. This prevents the indicator from giving you
3 signals in a row on the same price level.
On M15 increase to 10. On H1 keep at 5.
Reversal Filter — default ON
Requires a real reversal candle (pin bar or engulfing)
for the signal to appear. This removes the majority of
false entries. Keep it ON unless you know what you are doing.
TF 2 and TF 3 — default H1 and H4
The two higher timeframes used for confluence calculation.
For crypto day trading try H4 and D1.
For M5 scalping try M15 and H1.
The default H1 and H4 works well for most forex instruments.
🌍 WHAT MARKETS AND TIMEFRAMES
Plasma Flow works on any liquid market with volume data:
Forex majors and minors — EURUSD, GBPUSD, USDJPY,
AUDUSD, USDCAD, EURGBP and all crosses
Crypto — BTCUSD, ETHUSD, SOLUSD and all major pairs
on Binance, Coinbase, Bybit
Commodities — XAUUSD (Gold), XAGUSD (Silver), USOIL, UKOIL
Indices — SPX500, NAS100, DAX40, FTSE100, NIKKEI
Stocks — Any US or EU stock with meaningful daily volume
Best timeframes by trading style:
Scalping → M5, M15 (set TF2=M15, TF3=H1)
Day trading → M15, H1 (default settings)
Swing trade → H4, D1 (set TF2=D1, TF3=W1, Window=80)
⚠️ RISK DISCLAIMER
Plasma Flow is an analytical tool designed to support
your trading decisions. It does not guarantee profitable
trades. All financial markets carry significant risk of
loss, including your entire account balance.
Use proper position sizing on every trade. Never risk
more than 1-2% of your account on a single signal.
Backtest thoroughly on your specific instrument and
timeframe before using real money. Past signal accuracy
does not guarantee future performance.
Trading is risky. Use this tool as part of a complete
trading plan that includes risk management rules you
follow every single time without exception.
Gösterge
Gösterge
Contrarian Extremes: VIX + Put/Call (CPC, PCC)What this indicator does (in one line :) ):
It highlights sentiment extremes using only CPC, PCC , and VIX , so you can spot the moments when the market is most likely overreacting.
Most indicators try to “predict” price. This one is simpler, it tracks Fear vs Euphoria and marks the zones where emotions are stretched.
The 3 inputs behind it
INDEX:CPC (TotalPut/Call) --> broad options sentiment
USI:PCC --> equity/retail-style fear proxy
CBOE:VIX --> volatility stress / hedging pressure
What you’ll see on the chart
The script paints the background based on 3 regimes:
🫨 Panic --> extreme stress (capitulation-type conditions) --> 🎶 The background music is (Melancholy Man by The Moody Blues) 😨
😰 Fear / Risk-Off --> elevated fear --> defensive positioning
😌 Complacency / Calm --> low fear --> “everything is fine” mode --> 🎶 The background music is (What a Wonderful World by Louis Armstrong) 😁
All thresholds and colors are fully customizable in the Inputs, so you can also change the criteria to get higher or lower frequency signals on the chart.
How I personally interpret it (as a long-term investor)
In my backtests, this indicator behaves like a contrarian compass:
Fear / Panic zones often show up close to better long-term buy areas (not perfect timing, but good asymmetric entries).
Complacency zones often show up near better long-term reduce / take-profit areas (or at least be careful with fresh risk here).
This is not magic and it’s not a buy/sell button. Markets can stay fearful or complacent longer than you expect. But as a long-term investor , this helps you stop chasing hype and start scaling decisions around emotion extremes.
A simple long-term workflow:
Use Daily or Weekly timeframe.
When Fear/Panic appears: consider scaling in (DCA entries, add on confirmation, respect your risk limits).
When Complacency appears: consider scaling out, tightening risk, or being picky with new buys.
Always combine with basics: trend, levels, market structure, and risk management.
Where it tends to work best
Interestingly, this doesn’t only fit S&P/Nasdaq. It also behaves well on:
OANDA:XAUUSD & OANDA:XAGUSD
Large-cap stocks ( NASDAQ:AAPL NASDAQ:NVDA NASDAQ:MSFT NASDAQ:GOOG NASDAQ:AMZN NASDAQ:TSLA NASDAQ:META )
BINANCE:BTCUSD & BINANCE:ETHUSD
In general, it tends to work better (i.e. helps you more) in markets that move more on fear and greed and less on deep fundamental re-pricing.
⚠️ Disclaimer: educational tool only. No indicator is a guarantee. Use proper position sizing and understand the product you trade. Gösterge
Gösterge
Institutional Value Relocation VerdictSummary in one paragraph
Value Relocation Verdict ARD is an acceptance versus rejection classifier for liquid instruments on intraday to daily timeframes. It helps you act only when multiple conditions align after price pushes beyond a boundary. It is original because it treats every break as a probe and scores whether value is relocating using a break anchored VWAP relocation metric fused with time outside, extension, outside volume share, pullback quality, and failure velocity back into value. Add it to a clean chart, read the compact decision table, and use the visuals or alerts. Shapes can move while the bar is open and settle on close. For conservative alerts select on bar close.
Scope and intent
• Markets. Major FX pairs, index futures, large cap equities, liquid crypto
• Timeframes. One minute to daily
• Default demo used in the publication. NQ1! on 15 minute
• Purpose. Prevent trading raw breakouts and raw fades before the market proves acceptance or rejection
• Limits. This is an indicator. It does not place orders and does not simulate fills
Originality and usefulness
This is not a mashup of common indicators. It is a state machine that measures what happens after a boundary is breached.
• Unique concept or fusion. Breaks are treated as probes and classified by value relocation using break anchored VWAP plus behavioral metrics outside the boundary
• What failure mode it addresses. False starts in chop, one bar breakouts that reverse, and fades taken too early when value is actually relocating
• Testability. The table shows the live decision, the two competing scores, and the driver metrics so users can verify why a suggestion appears
• Portable yardstick. All distances are normalized in ATR units so thresholds travel better across symbols
• Protected scripts. Public open source, implementation visible
Method overview in plain language
Base measures
• Range basis. True Range smoothed with ATR over ATR length
• Value basis. Session anchored VWAP defines a value center, with a configurable VWAP band as the value zone
Components
• Boundary selection. Choose prior day high and low, opening range, prior week high and low, VWAP band edges, or custom levels
• Probe state. A probe begins when price crosses a boundary. The boundary is frozen for the probe so time outside and velocity are measured consistently
• Acceptance score. A 0 to 100 score built from closes outside, max extension beyond the boundary, outside volume ratio, break anchored VWAP relocation, defense touches, expansion context, and a pullback penalty
• Rejection score. Evaluated only when price re enters the boundary. It fuses sweep size, snapback depth, fail velocity, speed of re entry, RVOL, compression context, and a value zone re entry bonus
• Context regime. A light regime classifier uses session VWAP slope and a higher timeframe EMA slope to bias acceptance slightly in trend direction and boost rejection slightly in ranges
• Session windows optional. Session follows the exchange time of the chart. Verify when changing symbol or venue
Fusion rule
• Two separate scores are maintained during a probe: Acceptance score and Rejection risk
• During the probe, the table shows a Lean decision based on the score spread: Acceptance score minus Rejection risk
• Thresholds for ACC and REJ are explicit in Inputs and the drivers are visible in the table
Signal rule
• ACC Up appears when a probe above the boundary reaches acceptance score threshold for the configured confirm bars, closes remain outside the buffer, and chase distance is not excessive
• ACC Down is symmetric for probes below the boundary
• REJ Up appears when price re enters the boundary after probing above and rejection score meets its threshold
• REJ Down is symmetric for probes below the boundary
• WAIT shows when no probe is active or when neither side has a clear edge
What you will see on the chart
• Active boundary line. Thick line at the frozen probe boundary
• Value zone. Optional VWAP band fill and optional VWAP lines for context
• Probe band. Optional thin band around the boundary equal to the outside buffer
• Break VWAP. Optional line during the probe that shows break anchored VWAP
• Markers. ACC and REJ markers on the bar where the model resolves
• Optional plan overlay. Entry, stop, and target lines for the last resolved signal, informational only
• Compact table. A decision dashboard with Lean, State, Regime, ACC score, REJ risk, and the drivers
Table fields and quick reading guide
• Decision. Lean ACC, Lean REJ, or Wait
• State. Idle, Probe Above, Probe Below, Waiting Levels, or Out of Session
• Regime. Trend Up, Trend Down, or Range
• ACC Score. 0 to 100 plus a bar gauge
• REJ Risk. 0 to 100 plus a bar gauge
• Boundary. Frozen boundary price during the probe
• Value VWAP. Session anchored VWAP price
• Outside. Closes outside count versus Accept min closes outside
• Delta. ACC Score minus REJ Risk, used to express separation
• Drivers shown by preset. Extension ATR, Reloc ATR, Out Vol, Pull ATR, RVOL, Fail Vel, Sweep ATR, Snap ATR, Expansion, Compression
Reading tip. When Session is ON and Delta shows clear separation, outcomes tend to be easier to manage than when both scores are similar.
Inputs with guidance
Setup
• Theme. Dark or Light. Matches chart background for readability
• Preset. Minimal, Standard, Pro. Minimal is the clean chart default
• Session and Require session. Typical use is ON for index futures and intraday equity sessions
• Cooldown bars. Typical range 0 to 15. Higher reduces clustered probes
• Max probe bars. Typical range 20 to 120. Lower avoids stale probes
• Decision delta. Typical range 10 to 25. Higher demands more separation before leaning
Levels
• Mode. Prev Day HL, Opening Range, Prev Week HL, VWAP Band, Custom
• Opening range minutes. Typical 15 to 60 on intraday charts
• Break trigger. Close is more conservative. Wick is earlier but noisier
• VWAP band width ATR. Typical 0.5 to 1.5
• Custom upper and Custom lower. Only active in Custom mode. Both must be greater than 0 and upper must be greater than lower
Scoring
• Outside buffer ATR. Typical 0.05 to 0.30. Higher requires stronger closes outside
• Accept min closes outside. Typical 3 to 10. Higher confirms slower relocations
• Accept min extension ATR. Typical 0.6 to 1.8. Higher demands stronger expansion
• Accept min outside volume ratio. Typical 0.45 to 0.80. Higher demands conviction
• Accept min relocation ATR. Typical 0.10 to 0.50. Higher demands value shift beyond the boundary
• Accept max pullback ATR. Typical 0.30 to 1.00. Lower penalizes weak holding
• Accept confirm bars. Typical 1 to 3. Higher reduces one bar acceptance
• Accept score threshold. Typical 60 to 85
• Accept max chase distance ATR. Typical 0.8 to 2.0. Lower avoids late entries
• Defense touches needed and defense touch distance ATR. Use 0 to disable. Typical 1 to 2 touches, 0.15 to 0.35 distance
Rejection scoring
• Reject max closes outside before re entry. Typical 2 to 6. Lower demands fast failure
• Reject min fail velocity. Typical 0.3 to 1.0. Higher demands sharper failure
• RVOL length and reject min RVOL. Typical 20 and 1.1 to 1.8
• Reject min sweep ATR and reject min snapback ATR. Typical sweep 0.25 to 0.80, snap 0.10 to 0.50
• Reject score threshold. Typical 60 to 85
Context
• Context timeframe. Typical 15, 30, or 60 minutes for intraday
• Context EMA length. Typical 34 to 100
• VWAP slope bars and trend slope threshold. Typical 4 to 12 bars, threshold 0.05 to 0.15
• Bias scores by regime. ON by default. Turn OFF if you want pure probe math only
UI
• Show signals, probe band, value fill, value lines, signal labels
• Table position and table size
Clean default. Minimal preset with value fill ON, value lines OFF, and labels OFF
Usage recipes
Intraday trend focus
• Preset Standard
• Context timeframe 30
• Bias scores by regime ON
• Accept score threshold 75
• Reject score threshold 80
• Break trigger Close
• Decision delta 20
Intraday mean reversion focus
• Preset Standard
• Mode Prev Day HL or Opening Range
• Bias scores by regime ON
• Reject max closes outside 3
• Reject min sweep 0.35 and snapback 0.20
• Reject score threshold 70
• Decision delta 15
Swing continuation
• Timeframe 60 minutes to 4 hours
• Context timeframe 1 day
• Increase Accept min closes outside and Accept confirm bars
• Increase Max probe bars
• Use Close trigger
• Raise Decision delta
Realism and responsible publication
• No performance claims. Past results never guarantee future outcomes
• No certainty about the future
• Intrabar motion reminder. Shapes can move while a bar forms and settle on close
• Standard candles are recommended. Non standard chart types change OHLC and can alter the meaning of sweeps and snapbacks
Honest limitations and failure modes
• Economic releases and thin liquidity can invalidate sweep and relocation behavior
• Gap heavy symbols can distort intrabar probe stats on small timeframes
• Very quiet regimes reduce score separation. Consider longer windows or higher thresholds
• Session windows use the exchange time of the chart
• Custom mode requires valid upper and lower values or the script will wait
Open source reuse and credits
• None
Legal
Education and research only. Not investment advice. You are responsible for your decisions. Test on historical data and in simulation before any live use. Use realistic costs. Gösterge
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Top 40 Best Performing Nasdaq Stocks with Advanced Stats ScreenWelcome to the CustomQuantLabs Advanced Stats Screener. This dashboard is designed for traders who need more than just price action—it provides a comprehensive, institutional-grade view of the "Top 40" performing assets in the Nasdaq (or any watchlist of your choice) at a single glance.
Instead of flipping through 40 different charts, this screener aggregates Performance Metrics and Advanced Statistical Risk Models into one clean, heatmap-style dashboard. It helps you instantly identify outliers, trend leaders, and potential mean-reversion setups.
Key Features
1. Multi-Timeframe Performance Heatmap Instantly spot momentum. The dashboard tracks returns across 5 key timeframes, color-coded with a dynamic heatmap (Bright Green for leaders, Bright Red for laggards):
Week% (Short-term momentum)
Month% & Quarter% (Medium-term trend)
6M% & 12M% (Long-term secular trend)
2. Institutional Risk Metrics (Advanced Stats) We go beyond simple percentage changes. This screener calculates complex statistical formulas for every single ticker in real-time:
Kelly Criterion (%): A money management formula used to determine optimal position size based on win probability and return ratio. A higher Kelly % suggests a statistically stronger "edge" based on recent history.
Sharpe Ratio: Measures risk-adjusted return. How much return are you getting for every unit of risk? (Values > 1.0 are generally considered good).
Sortino Ratio: Similar to Sharpe, but only penalizes downside volatility. This is crucial for distinguishing between "good volatility" (upside pumps) and "bad volatility" (crashes).
Z-Score: A mean-reversion metric. It measures how many standard deviations the current price is from its 20-day mean.
High Positive Z-Score (>2): Price may be overextended to the upside.
Low Negative Z-Score (<-2): Price may be oversold.
Volatility (%): A dynamic measure of the asset's daily range, helping you gauge the "personality" of the stock before entering.
Customization & Settings
Fully Customizable Watchlist: While pre-loaded with top Nasdaq performers (like NVDA, AMD, PLTR, MU), you can easily edit the "Symbols" input in the settings to track Crypto, Forex, or your own custom stock portfolio.
Smart Theme Detection: Includes a toggle for Dark Mode (ProjectSyndicate style) and Light Mode (Clean white style).
Compact Mode: You can toggle specific columns on or off to fit the table on smaller screens.
How to Use
Add the script to your chart.
Open Settings (Gear Icon).
Paste your list of 40 tickers into the "Ticker List" text area (separated by commas).
Use the Z-Score to find overbought/oversold setups and the Relative Strength (Week/Month) to find breakout candidates.
Disclaimer: This tool is for informational purposes only. The "Top 40" list requires manual updating if the market leaders change. All statistical metrics (Kelly, Sharpe, etc.) are based on historical data and do not guarantee future performance.
Built by CustomQuantLabs. Gösterge
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EDUVEST QQE Grade System - S/A/B/C Signal ClassificationEDUVEST QQE Grade System - S/A/B/C Signal Classification
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█ ORIGINALITY
This indicator introduces a unique grading system (S/A/B/C) for QQE signals, combining traditional QQE analysis with SMC (Smart Money Concepts) price zones and trading session filters. Unlike standard QQE indicators that show all signals equally, this version classifies signals by quality to help traders focus on the highest probability setups.
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█ WHAT IT DOES
- Generates BUY/SELL signals with S/A/B/C grade classification
- Automatically detects asset type and applies optimized QQE factors
- Integrates SMC price zones (support/resistance) for grade enhancement
- Filters signals by trading session time
- Displays real-time session and market status
Grade Hierarchy:
- S (Gold/Orange): Signal near SMC zone + active trading hours - Highest quality
- A (Green/Red): Score 70+ during trading hours - High quality
- B (Darker): Score 50-69 during trading hours - Medium quality
- C (Gray, small): Outside trading hours or weak signal - Low quality
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█ HOW IT WORKS
【QQE Core Calculation】
The QQE (Quantitative Qualitative Estimation) is calculated as:
1. RSI with configurable period (default: 14)
2. EMA smoothing of RSI (Smoothing Factor: 5)
3. Dynamic bands using Wilder's smoothing: RSI ± (ATR of RSI × QQE Factor)
QQE Factor is auto-adjusted per asset:
- USD/JPY: 4.238
- EUR/USD: 3.8
- Gold (XAU/USD): 8.0
- NASDAQ/US100: 9.0
【Signal Generation】
- BUY: QQE line crosses above its trailing stop (QQExlong == 1)
- SELL: QQE line crosses below its trailing stop (QQExshort == 1)
【Internal Scoring System】
Score components (0-100):
- Signal Base: +25 points when signal occurs
- QQE Strength: +10 to +20 based on RSI distance from 50
- Volatility: +15 (optimal ATR ratio 1.1-2.0), -10 (low volatility)
- Volume Confirmation: +10 (high volume), -5 (low volume)
- Session Bonus: +5 during London/NY sessions
- Base: +20 points
【Grade Assignment】
- Grade S: Signal near user-defined SMC price zone (within tolerance %) AND during trading hours
- Grade A: Internal score >= 70 AND during trading hours
- Grade B: Internal score >= 50 AND during trading hours
- Grade C: Outside trading hours OR score < 50
【SMC Price Zone Integration】
Users can set support/resistance levels for each asset. When price is within the tolerance percentage of these levels, signals are upgraded to S-grade, indicating confluence with institutional price levels.
【Trading Session Filter】
Configurable active trading hours (JST timezone):
- Default: 15:00 - 01:00 JST (London + NY overlap)
- Signals outside this window receive C-grade
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█ HOW TO USE
【Recommended Settings】
- Timeframe: 15M, 1H, 4H
- Best on: USD/JPY, EUR/USD, Gold, NASDAQ
- Focus on: S and A grade signals
【Trading Strategy】
- S-Grade (Gold/Orange): Highest conviction - consider larger position
- A-Grade (Green/Red): Strong signal - standard position
- B-Grade: Valid but use additional confirmation
- C-Grade: Avoid or use minimal size
【Setting Up SMC Zones】
1. Identify key support/resistance on higher timeframe
2. Input prices in SMC Price Settings
3. Adjust tolerance % (default: 0.15%)
4. S-grade appears when signal occurs near these levels
【Info Panel】
Top-right panel shows:
- Asset name and detection mode (Auto/Manual)
- Current session (Tokyo/London/NY)
- Trading hours status
- SMC zone proximity
【Alert Setup】
1. Enable alerts in settings
2. Create alert with "Any alert() function call"
3. Alerts include grade, price, and session info
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█ SETTINGS
Basic Settings:
- Enable Alerts: Turn on/off notifications
- Time Filter: Activate trading hour filter
- Start/End Hour: Define active trading window (JST)
QQE Settings:
- RSI Period: RSI calculation period
- RSI Smoothing: EMA smoothing factor
- Auto QQE Factor: Auto-detect optimal factor per asset
- Manual QQE Factor: Override when auto is disabled
SMC Price Settings:
- Support/Resistance levels for each asset
- Tolerance %: How close to SMC line for S-grade
Display Settings:
- Grade Only: Hide QQE lines, show only signals
- Show SMC Lines: Display support/resistance on chart
- Show Debug: Display asset detection info
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█ CREDITS
QQE concept originally developed by John Ehlers.
SMC (Smart Money Concepts) integration and grading system by EduVest.
License: Mozilla Public License 2.0 Gösterge
EDUVEST UTBOT ADJ - Adaptive ATR Trailing StopEDUVEST UTBOT ADJ - Adaptive ATR Trailing Stop with Session-Based Sensitivity
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█ ORIGINALITY
This indicator is an enhanced version of the classic UT Bot concept, featuring automatic session-based ATR sensitivity adjustment. Unlike the original UT Bot which uses a fixed sensitivity value, this version dynamically adapts to different trading sessions (Tokyo, London, New York) and automatically detects asset characteristics to optimize signal generation.
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█ WHAT IT DOES
- Generates BUY and SELL signals based on ATR trailing stop crossovers with a moving average
- Automatically adjusts sensitivity based on current trading session (Tokyo/London/NY)
- Auto-detects asset type and applies optimized parameters for each instrument
- Displays real-time session information and volatility status
- Provides alert functionality with customizable cooldown periods
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█ HOW IT WORKS
【Core Logic: ATR Trailing Stop】
The indicator calculates an ATR-based trailing stop using the formula:
Trailing Stop = Price ± (Sensitivity × ATR)
When price is above the trailing stop and rising, the stop trails below price.
When price is below the trailing stop and falling, the stop trails above price.
【Signal Generation】
- BUY Signal: Price crosses above the trailing stop AND Moving Average crosses above the trailing stop
- SELL Signal: Price crosses below the trailing stop AND Moving Average crosses below the trailing stop
【Session-Based Sensitivity Adjustment】
The indicator adjusts ATR sensitivity based on trading session (JST timezone):
- Tokyo (08:00-15:00): Lower sensitivity (reduced by adjustment value) - typically quieter markets
- London (15:00-23:00): Base sensitivity - moderate volatility
- New York (23:00-08:00): Higher sensitivity (increased by adjustment value) - higher volatility
【Dynamic ATR Adjustment】
When enabled, the indicator compares current ATR to its smoothed average:
- ATR Ratio = Current ATR / SMA(ATR, smoothing period)
- Volatility Multiplier = 1.0 + (Sensitivity × (2.0 - ATR Ratio))
This reduces sensitivity during high volatility (fewer false signals) and increases sensitivity during low volatility (faster response).
【Auto Asset Detection】
The indicator automatically detects the traded instrument and applies optimized parameters:
- Stable pairs (USDJPY, EURUSD, USDCHF): Base sensitivity 1.5-1.8
- Moderate pairs (AUDUSD, USDCAD, EURJPY): Base sensitivity 2.0-2.3
- Volatile pairs (GBPUSD): Base sensitivity 2.8
- Commodities (GOLD/XAUUSD): Base sensitivity 3.5
- Indices (NASDAQ/NAS100): Base sensitivity 4.0
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█ HOW TO USE
【Recommended Settings】
- Timeframe: 15 minutes or higher (15M, 1H, 4H recommended)
- Best performance on: Forex majors, Gold, NASDAQ
- Enable "Auto Asset Detection" for optimized parameters
【Entry Rules】
- BUY: Enter long when green BUY label appears
- SELL: Enter short when pink SELL label appears
【Session Panel】
The top-right panel displays:
- Current trading session (Tokyo/London/NY)
- Volatility status (High Chance/Medium Chance/Caution)
- Mode (AUTO/MANUAL)
【Alert Setup】
1. Enable "Viewer Alert Display" in settings
2. Set cooldown period (default: 15 minutes) to avoid signal spam
3. Create alert with "Any alert() function call" condition
【Important Notes】
- This indicator does not repaint - signals are confirmed at bar close
- Lower timeframes (1M, 5M) may generate excessive signals
- Always use proper risk management and confirm with other analysis
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█ SETTINGS OVERVIEW
🎯 Alert Settings
- Viewer Alert Display: Enable/disable alert labels
- Cooldown Function: Prevent rapid consecutive signals
- Cooldown Time: Minutes between alerts (5-60)
🔧 Dynamic ATR Settings
- Enable Dynamic ATR: Auto-adjust based on volatility
- ATR Period: Calculation period (default: 14)
- ATR Smoothing: Smoothing period for ratio calculation
- Volatility Sensitivity: How much to adjust (0.1-1.0)
🕐 Session ATR Adjustment
- Enable Time Adjustment: Session-based sensitivity
- Show Session Info: Display session panel
📊 Asset Settings
- Auto Asset Detection: Automatically optimize for instrument
- Manual settings available when auto-detection is disabled
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█ CREDITS
Based on the original UT Bot concept by QuantNomad.
Enhanced with session-based adaptation and auto-asset detection by EduVest.
License: Mozilla Public License 2.0 Gösterge
Anchored VWAP PercentageINDICATOR: ANCHORED VWAP PERCENTAGE (AVWAP)
1. Overview
The Anchored VWAP Percentage (AVWAP) is a quantitative momentum and mean-reversion tool. It measures the percentage distance between the current price and a Volume Weighted Average Price (VWAP) that resets automatically based on specific time cycles. It allows traders to identify overextended market conditions relative to institutional value.
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2. Core Logic & Calculation
The script tracks the relationship between price and volume starting from a specific Anchor Point .
* Volume-Weighted Foundation: Unlike simple moving averages, this indicator uses the VWAP formula: sum(Volume * Price) / sum(Volume) .
* Automatic Anchoring: The starting point (Anchor) resets automatically depending on the chart timeframe (e.g., resets weekly on a 15m chart, or yearly on a Daily chart).
* Percentage Deviation: It calculates the precise gap between the price and the VWAP, plotted as an oscillator: ((Price - VWAP) / VWAP) * 100 .
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3. Adaptive Intelligence (Multi-Asset & Multi-TF)
The AVWAP is built with an internal database of 85th Percentile (P85) volatility thresholds. It recognizes that different assets have different "stretching" limits:
1. Asset-Specific Calibration: It includes optimized data for Bitcoin, Ethereum, Altcoins, Forex, and Indices .
2. Dynamic Timeframe Mapping: The anchor period and the exhaustion thresholds adjust automatically. For example:
* Intraday (1m-5m): Anchors to an 8-hour (480 min) cycle.
* Mid-Term (15m-60m): Anchors to a Weekly (W) cycle.
* Swing (Daily): Anchors to a Yearly (12M) cycle.
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4. Visual Anatomy
The indicator is designed for high-speed decision-making:
* The Histogram:
* Green: Price is trading above the VWAP (Bullish premium).
* Red: Price is trading below the VWAP (Bearish discount).
* P85 Threshold Lines:
* These lines represent the 85th percentile of historical deviations . Historically, the price stays within these boundaries 85% of the time.
* Background Highlighting: When the histogram crosses the P85 line, the background glows, signaling a Statistical Exhaustion Zone where a retracement to the mean is highly probable.
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5. How to Trade with AVWAP
* Mean Reversion: When the histogram reaches the P85 Zone , the price is "statistically overextended." This is a prime area to look for reversals or to take profits on existing trends.
* Trend Strength: If the histogram stays near the Zero Line while the price moves, the trend is supported by healthy volume.
* Value Area: The Zero Line represents the Fair Value . Buying near the Zero Line during a bullish histogram (Green) offers a high-probability entry with low risk.
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6. Technical Parameters
* Asset Selection: A dropdown to switch between Crypto, Forex, and Indices.
* Color Customization: User-defined colors for bullish and bearish sentiment.
* Precision Control: 4-decimal precision for accurate tracking of thin-margin assets like Forex. Gösterge
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NY VIX Channel Trend US Futures Day Trade StrategyNY VIX Channel Trend Strategy
Summary in one paragraph
Session anchored intraday strategy for index futures such as ES and NQ on one to fifteen minute charts. It acts only after the first configurable window of New York Regular Trading Hours and uses a VIX derived daily implied move to form a realistic channel from the session open. Originality comes from using a pure implied volatility yardstick as portable support and resistance, then committing in the direction of the first window close relative to the open. Add it to a clean chart and trade the simple visuals. For conservative alerts use on bar close.
Scope and intent
• Markets. Index futures ES and NQ
• Timeframes. One to thirty minutes
• Default demo. ES1 on five minutes
• Purpose. Provide a portable intraday yardstick for entries and exits without curve fitting
• Limits. This is a strategy. Orders are simulated on standard candles
Originality and usefulness
• Unique concept. A VIX only channel anchored at 09:30 New York plus a single window trend test
• Addresses. False urgency at session open and unrealistic bands from arbitrary multipliers
• Testability. Every input is visible and the channel is plotted so users can audit behavior
• Portable yardstick. Daily implied move equals VIX percent divided by square root of two hundred fifty two
• Protected status. None. Method and use are fully disclosed
Method overview in plain language
Take the daily VIX or VIX9D value, convert it to a daily fraction by dividing by square root of two hundred fifty two, then anchor a symmetric channel at the New York session open. Observe the first N minutes. If that window closes above the open the bias is long. If it closes below the open the bias is short. One trade per session. Exits occur at the channel boundary or at a bracket based on a user selected VIX factor. Positions are closed a set number of minutes before the session ends.
Base measures
Return basis. The daily implied move unit equals VIX percent divided by square root of two hundred fifty two and serves as the distance unit for targets and stops.
Components
• VIX Channel. Top, mid, bottom lines anchored at 09:30 New York. No extra multipliers
• Window Trend. Close of the first N minutes relative to the session open sets direction
• Risk Bracket. Take profit and stop loss equal to VIX unit times user factor
• Session Window. Uses the exchange time of the chart
Fusion rule
Minimum gates count equals one. The trade only arms after the window has elapsed and a direction exists. One entry per session.
Signal rule
• Long when the window close is above the session open and the window has completed
• Short when the window close is below the session open and the window has completed
• Exit on channel touch. Long exits at the top. Short exits at the bottom
• Flat thirty minutes before the session close or at the user setting
Inputs with guidance
Setup
• Use VIX9D. Width source. Typical true for fast tone or false for baseline
• Use daily OPEN. Toggle for sensitivity to overnight changes
Logic
• Window minutes. Five to one hundred twenty. Larger values delay entries and reduce whipsaw
• VIX factor for TP. Zero point five to two. Raising it widens the profit target
• VIX factor for SL. Zero point five to two. Raising it widens the stop
• Exit minutes before close. Fifteen to ninety. Raising it exits earlier
Properties visible in this publication
• Initial capital one hundred thousand USD
• Base currency USD
• request.security uses lookahead off
• Commission cash per contract two point five $ per each contract. Slippage one tick
• Default order size method FIXED with value one contract. Pyramiding zero. Process orders on close ON. Bar magnifier OFF. Recalculate after order is filled OFF. Calc on every tick ON
Realism and responsible publication
No performance claims. Past results never guarantee future outcomes. Fills and slippage vary by venue. Shapes can move while a bar forms and settle on close. Strategy uses standard candles.
Honest limitations and failure modes
Economic releases and thin liquidity can break the channel. Very quiet regimes can reduce signal contrast. Session windows follow the exchange time of the chart. If both stop and target can be hit within one bar, assume stop first for conservative reading without bar magnifier.
Works best in liquid hours of New York RTH. Very large gaps and surprise news may exceed the implied channel. Always validate on the symbols you trade.
Entries and exits
• Entry logic. After the first window, go long if the window close is above the session open, go short if below
• Exit logic. Long exits at the channel top or at the take profit or stop. Short exits at the channel bottom or at the take profit or stop. Flat before session close by the configured minutes
• Risk model. Initial stop and target based on the VIX unit times user factors. No trail and no break even. No cooldown
• Tie handling. Treat as stop first for conservative interpretation
Position sizing
Fixed size one contract per trade. Target risk per trade should generally remain near one percent of account equity. Risk is based on the daily volatility value, the max loss from the tests for one year duration with 5min chart was 4%, while the avg loss was below <1% of the total capital.
If you have any questions please let me know. Thank you for coming by ! Strateji
TriAnchor Elastic Reversion US Market SPY and QQQ adaptedSummary in one paragraph
Mean-reversion strategy for liquid ETFs, index futures, large-cap equities, and major crypto on intraday to daily timeframes. It waits for three anchored VWAP stretches to become statistically extreme, aligns with bar-shape and breadth, and fades the move. Originality comes from fusing daily, weekly, and monthly AVWAP distances into a single ATR-normalized energy percentile, then gating with a robust Z-score and a session-safe gap filter.
Scope and intent
• Markets: SPY QQQ IWM NDX large caps liquid futures liquid crypto
• Timeframes: 5 min to 1 day
• Default demo: SPY on 60 min
• Purpose: fade stretched moves only when multi-anchor context and breadth agree
• Limits: strategy uses standard candles for signals and orders only
Originality and usefulness
• Unique fusion: tri-anchor AVWAP energy percentile plus robust Z of close plus shape-in-range gate plus breadth Z of SPY QQQ IWM
• Failure mode addressed: chasing extended moves and fading during index-wide thrusts
• Testability: each component is an input and visible in orders list via L and S tags
• Portable yardstick: distances are ATR-normalized so thresholds transfer across symbols
• Open source: method and implementation are disclosed for community review
Method overview in plain language
Base measures
• Range basis: ATR(length = atr_len) as the normalization unit
• Return basis: not used directly; we use rank statistics for stability
Components
• Tri-Anchor Energy: squared distances of price from daily, weekly, monthly AVWAPs, each divided by ATR, then summed and ranked to a percentile over base_len
• Robust Z of Close: median and MAD based Z to avoid outliers
• Shape Gate: position of close inside bar range to require capitulation for longs and exhaustion for shorts
• Breadth Gate: average robust Z of SPY QQQ IWM to avoid fading when the tape is one-sided
• Gap Shock: skip signals after large session gaps
Fusion rule
• All required gates must be true: Energy ≥ energy_trig_prc, |Robust Z| ≥ z_trig, Shape satisfied, Breadth confirmed, Gap filter clear
Signal rule
• Long: energy extreme, Z negative beyond threshold, close near bar low, breadth Z ≤ −breadth_z_ok
• Short: energy extreme, Z positive beyond threshold, close near bar high, breadth Z ≥ +breadth_z_ok
What you will see on the chart
• Standard strategy arrows for entries and exits
• Optional short-side brackets: ATR stop and ATR take profit if enabled
Inputs with guidance
Setup
• Base length: window for percentile ranks and medians. Typical 40 to 80. Longer smooths, shorter reacts.
• ATR length: normalization unit. Typical 10 to 20. Higher reduces noise.
• VWAP band stdev: volatility bands for anchors. Typical 2.0 to 4.0.
• Robust Z window: 40 to 100. Larger for stability.
• Robust Z entry magnitude: 1.2 to 2.2. Higher means stronger extremes only.
• Energy percentile trigger: 90 to 99.5. Higher limits signals to rare stretches.
• Bar close in range gate long: 0.05 to 0.25. Larger requires deeper capitulation for longs.
Regime and Breadth
• Use breadth gate: on when trading indices or broad ETFs.
• Breadth Z confirm magnitude: 0.8 to 1.8. Higher avoids fighting thrusts.
• Gap shock percent: 1.0 to 5.0. Larger allows more gaps to trade.
Risk — Short only
• Enable short SL TP: on to bracket shorts.
• Short ATR stop mult: 1.0 to 3.0.
• Short ATR take profit mult: 1.0 to 6.0.
Properties visible in this publication
• Initial capital: 25000USD
• Default order size: Percent of total equity 3%
• Pyramiding: 0
• Commission: 0.03 percent
• Slippage: 5 ticks
• Process orders on close: OFF
• Bar magnifier: OFF
• Recalculate after order is filled: OFF
• Calc on every tick: OFF
• request.security lookahead off where used
Realism and responsible publication
• No performance claims. Past results never guarantee future outcomes
• Fills and slippage vary by venue
• Shapes can move during bar formation and settle on close
• Standard candles only for strategies
Honest limitations and failure modes
• Economic releases or very thin liquidity can overwhelm mean-reversion logic
• Heavy gap regimes may require larger gap filter or TR-based tuning
• Very quiet regimes reduce signal contrast; extend windows or raise thresholds
Open source reuse and credits
• None
Strategy notice
Orders are simulated by TradingView on standard candles. request.security uses lookahead off where applicable. Non-standard charts are not supported for execution.
Entries and exits
• Entry logic: as in Signal rule above
• Exit logic: short side optional ATR stop and ATR take profit via brackets; long side closes on opposite setup
• Risk model: ATR-based brackets on shorts when enabled
• Tie handling: stop first when both could be touched inside one bar
Dataset and sample size
• Test across your visible history. For robust inference prefer 100 plus trades. Strateji
Strateji
Quantum Flux Universal Strategy Summary in one paragraph
Quantum Flux Universal is a regime switching strategy for stocks, ETFs, index futures, major FX pairs, and liquid crypto on intraday and swing timeframes. It helps you act only when the normalized core signal and its guide agree on direction. It is original because the engine fuses three adaptive drivers into the smoothing gains itself. Directional intensity is measured with binary entropy, path efficiency shapes trend quality, and a volatility squash preserves contrast. Add it to a clean chart, watch the polarity lane and background, and trade from positive or negative alignment. For conservative workflows use on bar close in the alert settings when you add alerts in a later version.
Scope and intent
• Markets. Large cap equities and ETFs. Index futures. Major FX pairs. Liquid crypto
• Timeframes. One minute to daily
• Default demo used in the publication. QQQ on one hour
• Purpose. Provide a robust and portable way to detect when momentum and confirmation align, while dampening chop and preserving turns
• Limits. This is a strategy. Orders are simulated on standard candles only
Originality and usefulness
• Unique concept or fusion. The novelty sits in the gain map. Instead of gating separate indicators, the model mixes three drivers into the adaptive gains that power two one pole filters. Directional entropy measures how one sided recent movement has been. Kaufman style path efficiency scores how direct the path has been. A volatility squash stabilizes step size. The drivers are blended into the gains with visible inputs for strength, windows, and clamps.
• What failure mode it addresses. False starts in chop and whipsaw after fast spikes. Efficiency and the squash reduce over reaction in noise.
• Testability. Every component has an input. You can lengthen or shorten each window and change the normalization mode. The polarity plot and background provide a direct readout of state.
• Portable yardstick. The core is normalized with three options. Z score, percent rank mapped to a symmetric range, and MAD based Z score. Clamp bounds define the effective unit so context transfers across symbols.
Method overview in plain language
The strategy computes two smoothed tracks from the chart price source. The fast track and the slow track use gains that are not fixed. Each gain is modulated by three drivers. A driver for directional intensity, a driver for path efficiency, and a driver for volatility. The difference between the fast and the slow tracks forms the raw flux. A small phase assist reduces lag by subtracting a portion of the delayed value. The flux is then normalized. A guide line is an EMA of a small lead on the flux. When the flux and its guide are both above zero, the polarity is positive. When both are below zero, the polarity is negative. Polarity changes create the trade direction.
Base measures
• Return basis. The step is the change in the chosen price source. Its absolute value feeds the volatility estimate. Mean absolute step over the window gives a stable scale.
• Efficiency basis. The ratio of net move to the sum of absolute step over the window gives a value between zero and one. High values mean trend quality. Low values mean chop.
• Intensity basis. The fraction of up moves over the window plugs into binary entropy. Intensity is one minus entropy, which maps to zero in uncertainty and one in very one sided moves.
Components
• Directional Intensity. Measures how one sided recent bars have been. Smoothed with RMA. More intensity increases the gain and makes the fast and slow tracks react sooner.
• Path Efficiency. Measures the straightness of the price path. A gamma input shapes the curve so you can make trend quality count more or less. Higher efficiency lifts the gain in clean trends.
• Volatility Squash. Normalizes the absolute step with Z score then pushes it through an arctangent squash. This caps the effect of spikes so they do not dominate the response.
• Normalizer. Three modes. Z score for familiar units, percent rank for a robust monotone map to a symmetric range, and MAD based Z for outlier resistance.
• Guide Line. EMA of the flux with a small lead term that counteracts lag without heavy overshoot.
Fusion rule
• Weighted sum of the three drivers with fixed weights visible in the code comments. Intensity has fifty percent weight. Efficiency thirty percent. Volatility twenty percent.
• The blend power input scales the driver mix. Zero means fixed spans. One means full driver control.
• Minimum and maximum gain clamps bound the adaptive gain. This protects stability in quiet or violent regimes.
Signal rule
• Long suggestion appears when flux and guide are both above zero. That sets polarity to plus one.
• Short suggestion appears when flux and guide are both below zero. That sets polarity to minus one.
• When polarity flips from plus to minus, the strategy closes any long and enters a short.
• When flux crosses above the guide, the strategy closes any short.
What you will see on the chart
• White polarity plot around the zero line
• A dotted reference line at zero named Zen
• Green background tint for positive polarity and red background tint for negative polarity
• Strategy long and short markers placed by the TradingView engine at entry and at close conditions
• No table in this version to keep the visual clean and portable
Inputs with guidance
Setup
• Price source. Default ohlc4. Stable for noisy symbols.
• Fast span. Typical range 6 to 24. Raising it slows the fast track and can reduce churn. Lowering it makes entries more reactive.
• Slow span. Typical range 20 to 60. Raising it lengthens the baseline horizon. Lowering it brings the slow track closer to price.
Logic
• Guide span. Typical range 4 to 12. A small guide smooths without eating turns.
• Blend power. Typical range 0.25 to 0.85. Raising it lets the drivers modulate gains more. Lowering it pushes behavior toward fixed EMA style smoothing.
• Vol window. Typical range 20 to 80. Larger values calm the volatility driver. Smaller values adapt faster in intraday work.
• Efficiency window. Typical range 10 to 60. Larger values focus on smoother trends. Smaller values react faster but accept more noise.
• Efficiency gamma. Typical range 0.8 to 2.0. Above one increases contrast between clean trends and chop. Below one flattens the curve.
• Min alpha multiplier. Typical range 0.30 to 0.80. Lower values increase smoothing when the mix is weak.
• Max alpha multiplier. Typical range 1.2 to 3.0. Higher values shorten smoothing when the mix is strong.
• Normalization window. Typical range 100 to 300. Larger values reduce drift in the baseline.
• Normalization mode. Z score, percent rank, or MAD Z. Use MAD Z for outlier heavy symbols.
• Clamp level. Typical range 2.0 to 4.0. Lower clamps reduce the influence of extreme runs.
Filters
• Efficiency filter is implicit in the gain map. Raising efficiency gamma and the efficiency window increases the preference for clean trends.
• Micro versus macro relation is handled by the fast and slow spans. Increase separation for swing, reduce for scalping.
• Location filter is not included in v1.0. If you need distance gates from a reference such as VWAP or a moving mean, add them before publication of a new version.
Alerts
• This version does not include alertcondition lines to keep the core minimal. If you prefer alerts, add names Long Polarity Up, Short Polarity Down, Exit Short on Flux Cross Up in a later version and select on bar close for conservative workflows.
Strategy has been currently adapted for the QQQ asset with 30/60min timeframe.
For other assets may require new optimization
Properties visible in this publication
• Initial capital 25000
• Base currency Default
• Default order size method percent of equity with value 5
• Pyramiding 1
• Commission 0.05 percent
• Slippage 10 ticks
• Process orders on close ON
• Bar magnifier ON
• Recalculate after order is filled OFF
• Calc on every tick OFF
Honest limitations and failure modes
• Past results do not guarantee future outcomes
• Economic releases, circuit breakers, and thin books can break the assumptions behind intensity and efficiency
• Gap heavy symbols may benefit from the MAD Z normalization
• Very quiet regimes can reduce signal contrast. Use longer windows or higher guide span to stabilize context
• Session time is the exchange time of the chart
• If both stop and target can be hit in one bar, tie handling would matter. This strategy has no fixed stops or targets. It uses polarity flips for exits. If you add stops later, declare the preference
Open source reuse and credits
• None beyond public domain building blocks and Pine built ins such as EMA, SMA, standard deviation, RMA, and percent rank
• Method and fusion are original in construction and disclosure
Legal
Education and research only. Not investment advice. You are responsible for your decisions. Test on historical data and in simulation before any live use. Use realistic costs.
Strategy add on block
Strategy notice
Orders are simulated by the TradingView engine on standard candles. No request.security() calls are used.
Entries and exits
• Entry logic. Enter long when both the normalized flux and its guide line are above zero. Enter short when both are below zero
• Exit logic. When polarity flips from plus to minus, close any long and open a short. When the flux crosses above the guide line, close any short
• Risk model. No initial stop or target in v1.0. The model is a regime flipper. You can add a stop or trail in later versions if needed
• Tie handling. Not applicable in this version because there are no fixed stops or targets
Position sizing
• Percent of equity in the Properties panel. Five percent is the default for examples. Risk per trade should not exceed five to ten percent of equity. One to two percent is a common choice
Properties used on the published chart
• Initial capital 25000
• Base currency Default
• Default order size percent of equity with value 5
• Pyramiding 1
• Commission 0.05 percent
• Slippage 10 ticks
• Process orders on close ON
• Bar magnifier ON
• Recalculate after order is filled OFF
• Calc on every tick OFF
Dataset and sample size
• Test window Jan 2, 2014 to Oct 16, 2025 on QQQ one hour
• Trade count in sample 324 on the example chart
Release notes template for future updates
Version 1.1.
• Add alertcondition lines for long, short, and exit short
• Add optional table with component readouts
• Add optional stop model with a distance unit expressed as ATR or a percent of price
Notes. Backward compatibility Yes. Inputs migrated Yes. Strateji
TwinPulse Q Lead SPY x QQQ Intermarket Pulse 1HTwinPulse Q Lead is a concise one hour indicator for SPY and QQQ that converts three sources of market information into a single pulse line, a mode readout with BUY SELL WAIT, and compact alerts. It blends intermarket leadership between QQQ and SPY, intraday flow from the slope of session VWAP, and where the current price sits inside the regular trading hours range. The three components are normalized, fused, compressed to a stable range, and smoothed for clear thresholds. The aim is a readable intraday regime signal that helps you decide when to participate and when to stand aside.
The script is built with Pine v6, uses request security with lookahead off, and does not repaint. It is an indicator, not a strategy. It does not contain any solicitation, links, or outside references. The description is self contained and explains both logic and use so that any trader can understand the design without reading code.
What makes this original and useful
Intermarket leadership is measured directly from QQQ and SPY on your working timeframe using a Z score of the return spread. When growth is leading value heavy large caps, leadership turns positive. When it lags, leadership turns negative. This gives a real time read of the Nasdaq versus S and P tug of war that most day traders watch informally.
Intraday flow is taken from the slope of the session VWAP. A linear regression of VWAP over a short window captures whether value is rising or falling inside the day. Dividing by ATR normalizes slope by typical movement so that the signal is comparable across weeks.
Session position places price inside the current regular hours high to low. It answers whether the day is trading in the top half, the bottom half, or the middle. This is a simple but powerful context filter for breakouts and fades.
The three components are fused into one pulse, compressed with either hyperbolic tangent or softsign to keep values bounded, and then smoothed by a short EMA. This yields a stable range with a zero line so the eye can read shifts quickly.
The panel shows a human readable mode with reasons and a strength score. Traders who do not want to read lines can rely on a simple state and a compact justification that explains why the state is set.
This is not a mashup that simply overlays unrelated indicators. Each component was chosen to answer a distinct question that is common to SPY and QQQ intraday decision making. Leadership answers who is in charge, flow answers whether value inside the session is building or leaking, and position answers if price is pressing the extremes or circling the middle. The pulse ties the three together and prevents any single component from dominating.
How the calculations work
Leadership. Compute a short rate of change for SPY and QQQ. Subtract SPY from QQQ to get spread returns, then compute a rolling Z score over a longer window. Positive values mean QQQ is leading. Negative values mean SPY is leading.
Flow. Compute session VWAP on the active symbol. Regress VWAP over a short window to obtain a slope estimate. Divide by ATR to scale slope by current volatility so that a small rise on a quiet day is not treated the same as a small rise on a wild day.
Position. Track the highest high and lowest low since the start of regular hours. Place the current close inside that range on a zero to one scale, then recenter to a minus one to plus one scale. Positive means the top half of the day, negative means the bottom half.
Fusion. Multiply each component by a weight so users can emphasize or de emphasize leadership, flow, or position. Sum to a raw pulse.
Compression. Pass the raw pulse through a bounded function. Hyperbolic tangent is smooth and has natural saturation near the extremes. Softsign is faster and behaves like a smoother version of sign near zero. Compression avoids unbounded excursions and makes thresholds meaningful across days.
Smoothing. Apply a short EMA to the compressed pulse to reduce noise. This creates the main line called TwinPulse in the plot.
Thresholds. You can use static symmetric levels or adaptive levels. The adaptive option computes a mean and a standard deviation of the smoothed pulse over a user window, then sets upper and lower thresholds as mean plus or minus sigma times standard deviation. This allows thresholds to adjust across regimes. Static levels are still available for traders who want repeatable levels.
Events and mode. A long event fires when the smoothed pulse crosses the upper threshold with positive flow and any optional filters agree. A short event fires on the symmetric condition. The mode reads the current state rather than fire and forget. It returns BUY when the smoothed pulse is above the upper threshold with positive flow, SELL when the smoothed pulse is below the lower threshold with negative flow, otherwise WAIT. A cooldown controls how often events can fire so alerts do not spam during choppy periods.
Inputs and default values
The script ships with defaults chosen for SPY and QQQ on one hour charts.
Symbols. SPY and QQQ by default. You can switch to any pair. Many users may test IWM versus SPY for small cap reads.
Regular hours selector. On by default. This restricts the position factor to New York regular hours. Turn it off if you prefer full session behavior.
ROC length is three bars. Z score length is fifty bars. VWAP slope window is ten bars. ATR length is fourteen bars. Pulse smoothing length is three bars.
Compression mode. Choose hyperbolic tangent or softsign. Hyperbolic tangent is default.
Weights. Leadership and flow are one by default. Position is set to zero point seven to give a modest influence to where price sits inside the day.
Thresholds. Adaptive thresholds are on by default with a lookback of one hundred bars and a sigma width of zero point eight. Static levels at plus or minus zero point six are ready if you disable adaptive mode.
Filters. ADX filter is off by default. If you enable it, the script requires ADX above a user minimum before it will signal. Higher time frame confirmation is off by default. When enabled it compares the smoothed pulse on the confirm timeframe to zero and requires alignment for longs or shorts.
Cooldown. Three bars by default so that alerts do not trigger too frequently.
UI. Bar coloring is on by default. The panel is on by default and sits at the top right.
All request security calls use lookahead off and will not request future data. All persistent state variables are assigned in a way that prevents repainting. The indicator does not use non standard chart types in its logic.
How to use the indicator
Load a one hour chart of SPY or QQQ. Keep a clean chart so that the script output is easy to read.
Turn on regular hours if you want the session position to reflect the cash session. This is recommended for SPY and QQQ.
Watch the panel. Mode reads BUY or SELL or WAIT. The strength value is a simple vote based score that ranges from zero to one hundred. It counts leadership, flow, ADX if enabled, and higher time frame confirmation if enabled. You can use strength to filter weak states.
Consider action only when mode is BUY or SELL and the signal has not just fired on the last bar. The triangles mark where an event fired. Alerts use the same logic as the events. WAIT means stand aside.
To slow the system, enable ADX and set a higher minimum or enable higher time frame confirmation. To speed it up, disable the filters, disable adaptive thresholds, or tighten the sigma width.
When publishing, use a clean chart with only this indicator. Show the symbol and timeframe clearly and make sure the plot legend is visible. If you add drawings on the chart, only include ones that help readers understand the output.
Publication notes and compliance
This description is written in English. The title uses ASCII and only uses capital letters for common abbreviations. The script is original and explains how and why the components work together. There are no links or promotional material. The script does not claim performance. It does not use lookahead. The panel and alerts exist to help a human read and act with discipline. The indicator can be published as open source or as protected. If you choose protected, the description still allows readers to understand how the logic works without access to the code.
If you later convert the logic into a strategy for publication, use realistic commission and slippage, risk no more than a small share of equity per trade, and choose a dataset that yields a large enough sample. Explain any deviations from these default recommendations in your strategy description. Do not publish results from non standard chart types since they can mislead readers on signal timing.
Limitations and risks
Intermarket leadership is a relative measure. There are hours when both SPY and QQQ fall while leadership remains positive. Treat leadership as a context, not a stand alone trigger.
VWAP slope is a path measure inside the session. It can flip several times on a choppy day. That is why the script uses a short smoothing and an optional cooldown. Use ADX or higher time frame confirmation to avoid the worst chop.
Session position assumes a meaningful regular hours range. On half days or around openings with gaps the position factor can be less informative. If this bothers you, reduce the weight of position or turn it off.
Compression and smoothing introduce lag by design. The goal is stability and clarity. If you want earlier but noisier signals, reduce smoothing and weights, and use static thresholds.
No indicator guarantees future results. TwinPulse Q Lead is a decision aid. It should be combined with your risk rules, position size policy, and a clear exit plan. Past behavior is not a promise for the future.
Frequently asked questions
What symbols are supported. Any symbol can be used as the chart symbol. Leadership uses the two user symbols which default to SPY and QQQ. Many traders may try IWM versus SPY or DIA versus SPY.
Can I change the timeframe. Yes, but the design target is one hour. On very short timeframes the VWAP slope becomes very sensitive and you should consider stronger filters.
Does the script repaint. No. It uses request security with lookahead off and the panel updates on the last bar only. Events are based on bar close conditions unless you attach alerts on any alert function call which will still respect the logic without looking into the future.
How are the strength numbers built. The strength score is the share of aligned votes across leadership, flow, ADX if enabled, and higher time frame confirmation if enabled. A value near one hundred means many filters agree. A value near fifty means partial alignment. It is not a probability or an accuracy number.
Can I use non standard chart types. You can view the indicator on them but do not publish signals from non standard chart types because that can mislead readers about timing. Use classic candles or bars when you publish and when you test.
Why do I sometimes see BUY but the price is not moving. A BUY mode requires pulse above the upper threshold and positive flow. It does not require higher highs immediately. Treat BUY as a permission to look for entries using your own execution rules. Gösterge
