Last 5m Candle Box with AlertsSupport and resistance points. With new level from the previous day. Used inline with ypur larger TF directional bias.
אינדיקטור
Forecasting
Last 5m Candle Box v2Undated to cleaner charts. Adding a box to a 5 min candle for use as a breakout and support and resistance area.
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Gann Time Cycles Pro: Confluence
Think of the stock market like a giant, calm pond.
When the market has a **massive crash** (a bottom) or hits a **crazy all-time high** (a top), it is like dropping a giant boulder into that pond.
That boulder creates ripples. Those ripples travel forward in time. According to W.D. Gann, those ripples hit the shore at very specific mathematical intervals: **90 days, 180 days, 270 days, and 360 days** later. When a ripple hits, the market usually changes direction violently.
### How to Use the Custom Features (User-Defined)
**1. The 5 Anchors (Your "Boulders")**
Instead of just tracking one boulder, the system lets you drop up to 5.
* **How to use it:** Look at a Daily chart. Find the lowest low of last year. Make that **Anchor 1**. Find the highest high of six months ago. Make that **Anchor 2**.
* *Layman Translation:* You are telling the system, "Hey, these two dates were super important. Show me where their future ripples are going to land."
**2. The Custom Cycles (Your "Custom Ripples")**
You already have the standard ripples (90, 180, 270, 360). But what if a specific stock, like Tesla or Reliance, has its own weird, unique rhythm? Or what if you want to use the famous "144" Fibonacci number?
* **How to use it:** Go into the settings and type `144` into Custom Cycle 1, and maybe `45` into Custom Cycle 2.
* *Layman Translation:* You are telling the system, "I don't just want the standard ripples. I want to see a special ripple exactly 144 days after my boulder dropped."
---
### Your Step-by-Step Action Plan (How to trade it tomorrow)
Here is exactly what you do when you open TradingView:
**Step 1: Turn on the Engine**
Apply the indicator to your chart. Go to the settings.
**Step 2: Set your Anchors (The Past)**
Look back at the chart and find 2 or 3 major turning points (big V-shaped bottoms or upside-down V-shaped tops).
* Check the box for `Use A1` and put in the date of the first bottom.
* Check the box for `Use A2` and put in the date of the top.
**Step 3: Set your Cycles (The Rhythm)**
Leave the standard 90, 180, 270, and 360 as they are. If you like a specific number (like 45 or 144), type it into the Custom slots. If you don't want custom ones, just type `0` to turn them off.
**Step 4: Hunt for the "Time Cluster" (The Future)**
Now, look at the blank, empty space on the right side of your screen (the future). The system has drawn a bunch of vertical lines (Orange for Calendar days, Blue for Trading days).
**THIS IS THE MOST IMPORTANT PART:**
You are looking for a spot where a line from Anchor 1 lands **right next to, or exactly on top of**, a line from Anchor 2.
* *Example:* Let's say Anchor 1's 360-day line lands on October 15th. And Anchor 2's 180-day line lands on October 16th.
* *What it means:* Two massive historical ripples are crashing into each other at the exact same time.
**Step 5: How to Trade It**
When the actual date arrives (October 15th), you do not just blindly buy or sell. You watch the price action.
* If the stock has been going up, up, up into that October 15th date... expect it to suddenly reverse and crash down. (Take profits, or prepare to Short).
* If the stock has been bleeding and crashing down into that October 15th date... expect it to suddenly find a bottom and shoot up. (Get ready to Buy).
**In short:** You use the overlapping lines to circle dates on your calendar. When that date arrives, expect the current trend to suddenly flip directions.
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ATR/DTR[jackieee]Description
This indicator compares the current range (DTR) with the Average True Range (ATR) of a selected timeframe and displays the result in a compact table on the chart. Its purpose is to show how much of the market’s “normal” move has already been used.
The logic is straightforward: ATR measures the average volatility over time, while DTR measures the actual high-to-low range of the current bar on the chosen timeframe. The script then calculates DTR / ATR × 100, which shows the current range as a percentage of ATR. This makes it easy to judge whether price is moving within a normal range, approaching an average full move, or already extending beyond it.
A custom threshold can also be set so the table changes color once the current range reaches a chosen percentage of ATR. This helps highlight when volatility is becoming unusually large and can be useful for intraday awareness, range expansion analysis, and managing expectations after a strong move.
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FedWatch Companion - ZQ Fed Funds Futures CurveFedWatch Companion - ZQ Fed Funds Futures Curve
This indicator plots implied rates from selected 30-Day Fed Funds Futures (ZQ) contracts using the transformation:
100 - futures price
What this script does:
- Lets the user manually select which ZQ contract months to display.
- Lets the user assign an independent year to each selected month.
- Allows mixed-year layouts such as late-year contracts together with next-year contracts.
- Draws a reference band for the current Fed target range.
Why this script is useful:
Many traders are used to thinking in FedWatch terms, but sometimes need a cleaner manual curve view across selected ZQ months and years. This script is designed for that workflow.
Key features:
- Month-by-month manual selection
- Independent year input next to each month
- Easy comparison of implied rates across calendar boundaries
- Simple visual comparison against the current target range
- Useful for manual historical backtesting by selecting specific month/year combinations
How to use it:
1. Turn months on or off in the settings.
2. Choose the year next to each enabled month.
3. Compare the selected implied-rate curves in one pane.
4. Use it to inspect how the market prices different policy horizons.
5. Use custom month/year combinations for manual historical backtesting and past curve review.
Data note:
Displayed values depend on the selected ZQ contracts and on the data access available in the user’s TradingView account.
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ARCO 3D EMAcruce de EMA para cualquier instrumento en cualquier temporalidad... con un simple vistazo
אסטרטגייה
August sweepDetecta Sweeps en diferents temporalitats
Eliminat el "nivell protector" visual (ja no es dibuixen aquestes línies discontínues)
↕️ Invertides les fletxes: sweep de màxim → Sweep ↓ (perquè el moviment esperat és cap avall), sweep de mínim → Sweep ↑. També invertides al panell scanner.
✅ Afegida casella "Només últim Sweep" i "Només últim CHoCH" (per defecte activades)
🔧 Afluixat el CHoCH: ara la invalidació mira close en comptes de high/low, perquè abans una sola metxa el cancel·lava i per això no en veies
אינדיקטור
אסטרטגייה
PrismPrism : Integrated Trend Flow & Structural Risk Engine**
**Prism ** is a high-precision trend-following system designed to filter market noise and provide institutional-grade trade management. By combining **Guppy Multiple Moving Average (GMMA)** logic with **Dynamic Structural Walls** and an **Automated Entry Advice Engine**, it offers a comprehensive solution for traders who prioritize confluence over guesswork.
### **Core Logic: The Triple-Filter Approach**
Prism PRO doesn't just look at price; it analyzes the "fabric" of the market through three distinct layers:
1. **The Ribbon Stack (Sentiment & Flow):** Utilizing 12 EMA layers, the script identifies when short-term sentiment (the fast group) is perfectly aligned with long-term capital flow (the slow group). Signals only fire when the trend is "stacked" and healthy.
2. **Momentum Confirmation:** A built-in RSI filter ensures that signals are only triggered when momentum is on your side ( NYSE:RSI > 50$ for Longs, NYSE:RSI < 50$ for Shorts), preventing "drift" entries in low-volatility environments.
3. **Structural Wall Confluence:** This is the heart of the system. The script identifies the nearest **Auto-Fibonacci level** and compares it with the **EMA 12**. It selects the strongest level to create a "Structural Wall," which serves as the basis for the **Advised Stop Loss**.
### **Key Features**
* **Dynamic Entry Advice Engine:** The dashboard provides real-time feedback. It labels entries as **IDEAL**, **LATE**, or **OVEREXTENDED** based on the price's deviation from the EMA 12 and the live Reward-to-Risk (R/R) ratio.
* **Frozen State Persistence:** Unlike standard indicators that reset when a trend breaks, Prism PRO "freezes" your trade data (Entry, Stop, Target). If the ribbon stack breaks while you are in a trade, the dashboard keeps showing your last valid levels (marked with an `*`) so you can monitor your exit.
* **Ratchet Trailing Stop:** An ATR-based trailing stop that only moves in a favorable direction, protecting your capital as the trade progresses.
* **Fibo-Compression Alerts:** The dashboard monitors the distance between the current price and major Fibonacci levels. If the price is too close to a major level, it triggers a **⚠️ Warning**, alerting you to potential reversal zones or "compression" before a breakout.
### **The Dashboard Breakdown**
* **System Mode:** Instant visual of current trend bias.
* **Risk Metrics:** Live ATR volatility and percentage-based risk/reward calculations.
* **Final Call:** A "Engine Status" indicator showing the strength of the current flow.
* **Entry Advice:** Direct instructions (e.g., "Wait Pullback" or "Monitor Open Position").
### **How to Use**
1. **The Setup:** Look for a **BUY** or **SELL** label.
2. **The Filter:** Check the **Entry Advice**. If it says "OVEREXTENDED," wait for a pullback to the ribbon.
3. **Risk Management:** Use the **Advised Stop** or the **Trailing Stop** provided on the dashboard to manage your exit.
4. **Targeting:** The script plots a 1:2 R/R target by default, which is automatically cross-referenced with the nearest Fibonacci level for higher probability.
---
Disclaimer
This indicator is for educational and informational purposes only and does not constitute financial or investment advice. Trading financial markets involves significant risk of loss. Past performance is not indicative of future results. Always perform your own due diligence and consult with a professional financial advisor before making any investment decisions. The author assumes no responsibility for any financial losses incurred through the use of this script.
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Liquidity Surge Forecast with Markov Chains [TechnicalZen]Clear direction from Markov Chains confirmed projections.
Publishing this v3 with all the enhancements users desired and more. Thank you for your feedback.
What This Is
A 3D liquidity-and-momentum visualization that tells you where the market is heading right now, how long the current state is likely to hold, and when the next regime change is expected — all backed by a 2nd-order Markov chain that learns from your chart's own history.
Two independent systems — Money Flow (MFI-driven) and Price Current (Hull-VWMA or signed-ADX) — render as layered dotted carpets inside a bounded 3D box. When both systems agree on direction AND the Markov chain confirms, a whale surfaces — 🐳 bullish, 🐋 bearish. Chop gets a shark 🦈. Sideways drift gets a crab 🦀. And when the Markov chain predicts an imminent regime transition, a small hatchling whale appears before confluence forms.
The Current State row tells you, in one line, exactly what to expect next.
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Built On
Money Flow Dynamics Forecaster 3D — the original 3D layered-terrain architecture, MFI/RSI momentum carpet, Hull-VWMA price current carpet, slope-extrapolated forecast, rider + whale system.
Same 3D engine. Same dual-system confluence as the foundation. Then: regime classification, Markov statistical learning, current-state intelligence, and a live win-rate scoreboard on top.
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Clear Direction — At A Glance
Most indicators show you lines and ask you to interpret. This one tells you plainly, in a single dashboard row:
What regime you're in right now — 🐳 Bull, 🐋 Bear, 🦈 Chop-zone, or 🦀 Sideways
How long it's been held — in bars
Whether the regime is BALANCED or IMBALANCED — based on the Markov chain's next-bar probabilities
When the next regime change is expected — in bars, computed from the stay-probability
Which direction the market leans next — the highest-probability non-current state
Example readouts:
"Current State: 🐳 Bull held 5b · IMBALANCED — stay 68%, change expected in ~3b · next lean: 🦀 Sideways"
"Current State: 🦀 Sideways held 12b · BALANCED — change imminent · next lean: 🐳 Bull"
"Current State: 🐋 Bear held 2b · IMBALANCED — stay 82%, change expected in ~5b · next lean: 🦀 Sideways"
No interpretation required. You read the line, you know where you are, you know what to expect.
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New Features — And Why Each Exists
1. Current State intelligence row
Why: Confluence indicators tell you WHEN a signal fires. They don't tell you "how solid is the current regime," "is a change coming," or "how long do I have before conditions flip." The Current State row answers all three in one glance.
The balanced / imbalanced distinction matters most:
BALANCED — the three next-bar probabilities are close to 1/3 each. No clear direction. A regime change is imminent (could go anywhere). Trade lighter, wait for resolution.
IMBALANCED — one direction dominates. Regime has a preferred path. The stay-probability tells you how long it's likely to persist; the next-lean tells you which direction it will tilt when it does flip.
The expected-bars-to-change is a geometric distribution mean: 1 / (1 − P(stay)). If a regime has 80% stay probability, it's expected to persist ~5 more bars. If 33%, it's expected to flip in ~1.5 bars.
2. 2nd-order Markov chain regime predictor
Why: the original whale logic was reactive — it fires after confluence forms. Markov is predictive — it learns your instrument's transition habits and uses them to gate and anticipate whale signals.
Pure statistics, no black box:
2nd-order — predicts the next regime from the pair of previous regimes, not just one. Captures patterns like "Chop → Sideways → 68% Bull next" that a 1st-order chain would miss.
Laplace smoothing (α=1) — every transition count gets a +1 pseudocount before normalization. Prevents "never observed → 0% forever" failure. Standard in real statistics.
Exponential recency decay — newer transitions count more than old ones (default 0.995/bar). Markets drift; stale history shouldn't dominate current prediction.
Duration conditioning — separate transition matrices for "current state held <5 bars" vs "held ≥5 bars." Regimes behave differently after they've been running. Real statistical sub-populations.
Confidence gating — if the current context has fewer than 10 observations, predictions are flagged low-n . No fabricated probabilities.
Maximum useful substance without gimmick. 3rd-order Markov would need thousands of regime transitions per cell to converge — doesn't happen on typical charts. 2nd-order is the ceiling before diminishing returns.
3. Dual-layer regime classification — Chop-zone 🦈 vs Sideways 🦀
Why: prior versions treated "not trending" as a single category. But there are two fundamentally different kinds of non-trending market:
🦈 Chop-zone — violent range-bound circling. Detected via classic Choppiness Index . Often precedes a sharp breakout.
🦀 Sideways — slow drift, flat angles across close/high/low at both short and long periods. Detected via angle consensus . Often indicates accumulation or distribution.
Showing them separately lets you read which kind of non-trending you're in. Different implications, different decisions.
4. Hatchling whales — pre-signal pre-whales
Why: the Markov chain lets us anticipate confluence before it forms. When the current state is Sideways AND Markov predicts Bull (or Bear) with confidence above the hatchling threshold, a small whale appears at the mid-forecast position — a heads-up that confluence is probabilistically coming.
Full whale (size.huge at forecast edge) = confluence is here now.
Hatchling whale (size.small at forecast mid) = confluence is probably coming soon.
Better entries on regime changes.
5. Markov-gated whale confirmation
Why: sometimes projected-confluence fires, but the instrument's historical pattern says "from this context, the opposite is more likely." That's exactly the setup a trader wants the indicator to filter out .
The gate is permissive — Markov blocks a whale only if it's confident AND its argmax points the opposite direction. Uncertainty or agreement = pass through. Reduces false confluence without over-filtering.
6. Regime-aware 4-column win-rate dashboard
Why: knowing how much time the instrument actually spends in each regime is as actionable as the signals themselves.
Four parallel columns:
🐳 Bull — confluence signals and win rate
🐋 Bear — same, opposite direction
🦈 Chop-zone — CI chop events and % of bars
🦀 Sideways — angle-sideways events and % of bars
If your instrument spends 80% of bars in Chop/Sideways, confluence will be rare — adjust timeframe or instrument. If Markov shows low-n on most bars, the matrix isn't populated yet — wait for more history before trusting predictions.
7. Session-aware for futures
Why: NQ, ES, CL and other overnight-session futures stamp their daily bar at session start , which is the previous calendar evening. Naive `dayofweek(time)` reads NQ's "Friday session" as Thursday. The indicator uses `time_close("D")` — the close of the daily bar, always on the trading date — so regime classification is correct for both cash equities (TSLA, SPY) and overnight futures (NQ, ES). Same indicator, any asset class.
8. Honest evaluation — next-signal MFE or directional close
Why: "close-at-N-bars" is dishonest. Price can move 2×ATR favorably then retrace — close-at-N logs that as a loss. MFE logs it as what it actually was.
Each signal is held pending until the next signal fires. It's a win if either:
The close at next-signal bar was directionally favorable vs entry, OR
The Maximum Favorable Excursion between the two signals reached the ATR-scaled threshold (default 0.5×ATR at entry bar)
Either qualifies. Transparent. Computed live. Disclaimer embedded in the dashboard footer.
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How to Read the Dashboard
┌────────────────────────────────────────────────┐
│ Liquidity Surge + Markov · Win Rate │
├────────┬────────┬─────────────┬───────────────┤
│🐳 Bull │🐋 Bear │🦈 Chop-zone │🦀 Sideways │
│42 sigs │38 sigs │7 events │12 events │
│31 wins │24 wins │120 bars │45 bars │
│73.8% │63.2% │23% │8.6% │
├────────────────────────────────────────────────┤
│Markov Forecast Next: 🐳 52% · 🦀 31% · 🐋 17% │
├────────────────────────────────────────────────┤
│Current State: 🐳 Bull held 5b · IMBALANCED │
│ stay 68%, change expected in ~3b · next: 🦀 │
├────────────────────────────────────────────────┤
│⚠ Not financial advice · Learned on chart hist │
└────────────────────────────────────────────────┘
Reading order:
Column data — how Bull/Bear signals have performed, how much time is spent in each regime
Markov Forecast Next — next-bar regime probabilities (with sample-size confidence)
Current State — the single-line answer to "where am I and what's next"
Footer — disclaimer + config
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How to Use
Load with defaults.
Wait for ~100-200 bars of history. The Markov matrix needs observations to learn.
Read Current State first. It tells you what to expect.
If BALANCED → expect a regime change, trade light.
If IMBALANCED + change in ~N bars → plan around that window.
Watch for 🐳 / 🐋 full whales at the forecast edge — confluence + Markov confirmed.
Watch for small hatchling whales at forecast mid-point — Markov's early prediction of confluence coming.
Respect 🦈 (chop-zone) and 🦀 (sideways). Don't fight the regime.
Tune Hatchling Threshold and Win Threshold (×ATR) to your instrument and style.
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Best Paired With Smart Candle Structures
This indicator answers whether and when to trust the flow. Smart Candle Structures answers where to act. Together: right place, right moment, measurable conviction, regime-aware.
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Key Settings
Time Span — past bars rendered + forecast horizon (default 15)
Momentum Source — MFI (default) or RSI
Oscillator Type — Hull-VWMA (default) or signed-ADX
Slope Lookback — bars for slope that fires whales (default 4)
Evaluation Window — bars after a signal to measure MFE (default 5)
Win Threshold (× ATR) — minimum favorable excursion as a multiple of ATR (default 0.5)
Gate Whale by Choppiness — master toggle for 🦈 / 🦀 filter
CI Length / CI Threshold — classic Choppiness Index tuning
Angle Short / Long Period — angle-based sideways lookbacks
Angle Trend / Sideways Threshold — angle degrees defining trending vs sideways
Use Markov Predictor — master toggle for the 2nd-order chain
Count Decay per Bar — recency weighting for Markov counts (default 0.995)
Hatchling Threshold — minimum Markov probability to fire pre-whale (default 55%)
Dashboard Text Size — Tiny / Small / Normal / Large / Huge
Camera — yaw / pitch / scales for the 3D view
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Disclaimer
This is a visualization and analytical tool, not financial advice or a signal service. The Markov chain is trained on your chart's history — it describes what has happened on this instrument at this timeframe, not what will happen. Regime transition probabilities are learned estimates; past frequencies do not guarantee future outcomes. Markets are reflexive and can transition in ways the chain has never observed. Hatchlings, whales, sharks and crabs are visualizations of mathematical predictions — they do not constitute buy or sell recommendations. Trade with your own risk management. Every trade can lose.
The indicator echoes this disclaimer in its dashboard footer so you see it every time you read the chart. It's always there because it's always true.
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Clear direction from learned regimes.
— TechnicalZen
אינדיקטור
ATR Daily Time Frame Display BoxATR Display Box
A clean, minimal ATR display that sits in the corner of your chart without getting in the way.
The indicator pulls ATR from the daily timeframe regardless of what chart you're on — so whether you're on a 1 minute, 5 minute, or any intraday timeframe, you're always seeing the true daily ATR value. No more manually switching timeframes or calculating inflated period numbers to approximate a daily ATR on lower timeframes.
Features:
Always references the daily timeframe for accurate ATR readings
Adjustable ATR period (7, 9, 14 or any value you choose)
Compact table display — stays out of the way of your chart
Fully customisable: position, background colour, text colour, border colour
Adjustable decimal places to suit any instrument
Best used for:
Gauging daily range on futures (ES, NQ, CL, GC etc.)
Setting realistic profit targets and stop distances based on true daily range
Quick reference during intraday trading without cluttering your chart
Works on any instrument and any timeframe.
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אינדיקטור
QuantumPips Flow Bias QuantumPips Flow Bias (EMA + Volume Delta)
QuantumPips Flow Bias is a visual market-bias tool that combines trend direction (EMA) with a simple volume-pressure proxy to help you read whether buyers or sellers have had more control over the most recent price action.
This indicator is not a signal generator by default, it’s designed to give you context and confirmation so you can align entries with stronger market conditions.
1) What you see on the chart
Bull/Bear Flow Box
A large box is drawn using the last Lookback bars:
Green area = bullish pressure
Red area = bearish pressure
The label shows the split as:
Bull X% | Bear Y%
This percentage is calculated using a volume delta proxy:
If a candle closes up, its volume is treated as “bull volume”
If a candle closes down, its volume is treated as “bear volume”
Doji candles split volume 50/50
It’s a proxy, not true exchange order flow, but it’s useful for quickly spotting whether volume has mostly supported buying or selling inside the lookback window.
2) Trend Confirmation (EMA)
The indicator checks the trend using two EMAs:
EMA Fast (default 50)
EMA Slow (default 200)
When fast EMA is above slow EMA → trend bias is bullish
When fast EMA is below slow EMA → trend bias is bearish
Optional: Require EMA Fast slope
If ON, the fast EMA must also be rising (bull) or falling (bear). This filters chop but may reduce early bias flips.
3) Volume Delta Confirm (Proxy)
A second “pressure check” runs on a shorter window: Delta window (bars).
If Bull% is above Bull threshold → bull flow confirmation
If Bull% is below Bear threshold → bear flow confirmation
Defaults:
Bull confirm if Bull% > 55%
Bear confirm if Bull% < 45%
4) Bias logic (how “Bullish/Bearish/Neutral” is decided)
The indicator only shows a strong bias when both conditions agree:
✅ Bullish = (EMA trend bullish) AND (flow bullish)
✅ Bearish = (EMA trend bearish) AND (flow bearish)
Otherwise → Neutral (mixed or choppy conditions)
5) Projection line (dashed)
The dashed line is a simple forward “roadmap” based on:
ATR distance × multiplier
Optionally scaled by flow strength
This projection is best used as a reference area, not a target guarantee. It’s meant to help you visualize where price could reach if the bias continues.
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אינדיקטור
Dynamic OTE by AKGTitle: Dynamic OTE (Optimal Trade Entry) by AKG
Description:
The Dynamic OTE by AKG is a streamlined price action indicator designed to automatically identify and highlight Optimal Trade Entry (OTE) zones on your chart.
By continuously tracking daily price action extremes, this tool calculates high-probability retracement zones, keeping your charts clean and your focus on the dominant trend. It anchors its calculations using the Previous Day High/Low (PDH/PDL) and the Current Day High/Low (CDH/CDL).
Key Features:
- Auto-Trend Filtering: The indicator calculates the range displacement of both bullish and bearish setups. By default, it automatically detects the dominant direction and only displays the relevant OTE box, preventing chart clutter.
- Precision OTE Levels: The drawn zones highlight the classic 62% to 79% retracement levels of the tracked daily ranges.
- Manual Override: If you prefer to see both sides of the market or want to manually dictate your bias, simply toggle off the "Auto-Filter" in the settings. You can then independently turn the Bullish and Bearish zones on or off.
- Dynamic Visuals: The indicator draws clean, colored boxes on the most recent price action. The boxes automatically update as the Current Day High or Low expands.
- Customizable Aesthetics: Easily adjust the colors of both the bullish and bearish OTE zones to fit your personal chart theme.
How to Use:
This tool is ideal for traders looking to enter pullbacks within an established daily expansion. When price retraces into the highlighted OTE box (between the 0.62 and 0.79 levels), look for your standard entry confirmations or lower-timeframe shifts in market structure to join the trend.
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TQHQ ScriptThis is a TradingView Pine Script indicator that shows prompts directly inside the chart
It uses the 20 SMA and 200 SMA for signal logic
The script does not draw the SMA lines, because they can already be on the chart
On the 2-minute chart it looks for:
20>200 crossover
20<200 crossover
then a very large candle after the crossover to confirm the move
It gives:
ENTRY LONG when 20 SMA crosses above 200 SMA and a huge bullish candle appears above both SMAs
ENTRY SHORT when 20 SMA crosses below 200 SMA and a huge bearish candle appears below both SMAs
It only allows the entry signal within a small number of bars after the crossover
It also limits it to one entry per crossover so there is less noise
On the 5-minute chart it looks for a Super Candle
A Super Candle means:
the new candle is the opposite color of the previous one
it is bigger in body size
it closes past the previous candle’s open
optionally it can also break the previous high or low
The script only works during market hours
The goal is to show only stronger, cleaner entry setups and avoid too many weak prompts
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Ram-ban Support & Resistance System [% Adaptive for Stocks]📌 Overview
The Ram-ban Support & Resistance System is an advanced, fully dynamic mapping tool engineered to identify crucial market turning points without cluttering your chart. By referencing higher timeframe (HTF) pivot structures and utilizing a percentage-based mapping logic, this indicator seamlessly scales to any asset class—from Crypto and Forex to Equities and Indices—without the need for manual point adjustments.
🚀 Key Features
Adaptive % Model: Forget rigid point values. Settings for spacing, signals, and stop-loss are percentage-based, ensuring the indicator works flawlessly on BTCUSD just as well as it does on AAPL or NIFTY.
Dynamic Consolidation Heatmap: Not all levels are created equal. As price consolidates around a specific support or resistance zone, the line dynamically increases in thickness. A thicker line represents a heavily tested zone with stronger historical relevance.
Intelligent "Option Mode" (Fading): Keep your focus where the action is. Levels that are far from the current market price will automatically fade out, keeping your chart clean and eliminating noise.
Wick-Based Signal Engine: Captures sniper-like entries by looking for wick rejections at key levels. When price reaches a specified tolerance zone (%) of a major level, a Buy or Sell signal is generated.
Built-in Risk Management: Automatically calculates a dynamic Stop Loss based on your preset percentage. Visual labels tell you exactly where your invalidation point is upon entry.
Session Filtering: Confine your trading signals strictly to active market hours, filtering out erratic overnight or pre-market moves.
🛠️ How to Use
Trend Context: Use the HTF Support/Resistance rails as major boundaries. Green rails act as support (demand), red rails act as resistance (supply).
Observe the Line Thickness: A very thin line is a fresh level. A thick, bold line indicates high historical contention. Treat thick lines as high-probability reversal zones.
Trading Signals: Look for the "BUY" labels (with attached SL values) as price taps support rails. The "BOOK PROFIT" label triggers when a loaded position touches the upper resistance boundary.
Alerts: Create alerts directly from the indicator to be notified of "BUY", "BOOK PROFIT", or "SL HIT" events instantly.
⚙️ Core Settings Overview
HTF for Pivots: The default is 60 (1 Hour) to capture macro swings on lower timeframe charts (like 5m or 15m).
Min Distance Between Levels (%): Prevents the indicator from drawing too many lines close together. Adjust based on asset volatility.
Consolidation Zone Tolerance (%): How close a candle needs to close near a line to "thicken" it.
Stop Loss (%): Defines the dynamic Stop Loss label printed alongside entry signals.
⚠️ Disclaimer
This script is provided for educational and informational purposes only. It does not constitute financial, investment, or trading advice. Past performance is not indicative of future results. Trading in financial markets involves a high degree of risk. Always conduct your own research (DYOR), backtest thoroughly, and use proper risk management before putting real capital on the line. The author assumes no responsibility for any trading losses incurred.
SupportAndResistance, PriceAction, PivotPoints, DynamicLevels, DayTrading, Scalping, RiskManagement, StopLoss, Breakout, Reversal, MultiTimeframe, MTF
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NQ/MNQ CT Scalper [BACKTEST]NQ/MNQ counter-trend scalper. 1-min chart, fades overextended moves across all sessions.
6 entry paths — FADE (overextension), DIV (delta divergence), TRAP (liquidity sweep fade), AGG (aggressive flow fade), VRZ (volume zone retest), and ABSORB (institutional absorption). Every entry requires the market to be trending AND overextended — no fading chop.
TP targets the mean — EMA21, VWAP, POC, pivot levels. Dynamically picks the closest or farthest target based on confidence. SL sits beyond the structural extreme with a 3 ATR hard cap. Session-tuned TP scaling takes quick profits during MOC/thin sessions and lets winners ride during afternoon reversions.
Backtest — MNQ, 1-min, 1 yr:
393 trades | 40.5% win rate | avg W/L ratio 2.08
PF 1.41 | Sharpe 0.40 | Sortino 1.66
MaxDD -$1,296 | Return/DD 3.14
Pyramiding 20 | $0.62/contract | 2 tick slippage
process_orders_on_close = false
Session-aware confidence boost filters out low-edge entries. Dynamic R:R floor rejects trades with bad TP/SL geometry. Hurst exponent blocks fades during persistent trends. HTF veto prevents catching knives when higher timeframes are strongly directional.
Same architecture as the trend-following companion — stateless, no cooldowns, 8 session windows, AER regime, ADF stationarity. Designed to run alongside the Super Scalper for full-spectrum NQ/MNQ coverage.
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NQ/MNQ Super Scalper [BACKTEST]NQ/MNQ trend-following scalper. 1-min chart, runs all sessions 24/5.
6 entry paths — BOS, RE, OB, TRAP, and a high-conviction main signal — all scored through an 8-factor confidence engine (structure, momentum, flow, volume, regime, Hurst, ADF, HTF alignment). Every parameter is dynamic and session-aware. Nothing hardcoded.
TP scales per path, per session, per regime. SL is structural with a 3 ATR hard cap. Smart exits monitor 9 patterns and pull the trade if the thesis breaks before TP.
No martingale. No grid. No fixed lots. Most bars produce zero signals — entries require real confluence.
Backtest — MNQ, 1-min, 1 yr:
2,934 trades | 63.7% win rate
PF 1.23 | Sharpe 0.51 | Sortino 2.04
Pyramiding 20 | $0.62/contract | 2 tick slippage
process_orders_on_close = false
no barsSince counters. 8 session windows with independent tuning. AER regime detection, Hurst persistence filter, ADF stationarity, HTF veto. Per-path TP multipliers backed by signal×session performance data.
Built for NQ/MNQ only. Designed to run alongside a counter-trend companion for full coverage.
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Wave 3 Sniper SystemWave 3 Sniper System with AI - Precision Trend & Wave Analysis
Overview
Experience the next level of market analysis with the Wave 3 Sniper System with AI. This indicator is specifically designed to identify high-probability "Wave 3" setups—the most explosive phase of market trends. By integrating advanced AI-driven algorithms, the system filters out market noise and pinpoints precise entry and exit zones, as seen in the current XAUUSD (Gold) chart.
Key Features:
AI Trend Filtering: Uses machine learning logic to confirm trend direction, ensuring you're always on the right side of the market.
Wave 3 Detection: Specifically tuned to catch the strongest momentum waves for maximum R:R (Risk-to-Reward).
Visual Signals: Clear "W3 BUY" and "W3 SELL" flags with dynamic support/resistance levels.
Optimized for Gold (XAUUSD): While versatile, this system excels in high-volatility environments like Gold Spot.
Current Market Insight (XAUUSD):
As shown in the attached chart, the system recently signaled a W3 SELL near the 4,830 level, accurately capturing the bearish momentum. The AI is currently monitoring a consolidation zone near 4,795 for the next impulsive move.
Exclusive Partner Offer 🎁
To get the most out of this system, I recommend using TradingView’s Premium features for real-time alerts and deeper backtesting.
Special Benefit for My Community:
If you haven't upgraded your TradingView plan yet, use the link below to sign up. You will receive a $15 discount coupon toward your new plan immediately!
👉 www.tradingview.com OANDA:XAUUSD
Sign up within 90 days via the link above to claim your $15 credit and access professional tools that complement the Wave 3 Sniper System.
Disclaimer:
Trading involves significant risk. This script is for educational and analysis purposes only and does not constitute financial advice.
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Liquidity Surge Forecast with Win Rate [TechnicalZen]Publishing this v2 with Proven performance dashboard for scalpers.
What This Is
A 3D liquidity-and-momentum visualization with a built-in, MFE-verified win-rate dashboard.
Two independent systems — Money Flow (MFI-driven) and Price Current (Hull-VWMA or signed-ADX) — render as layered terrains inside a bounded 3D box. When both systems agree on direction, a whale surfaces: 🐳 bullish, 🐋 bearish. Every whale is tracked. Every outcome is scored. The dashboard prints the running win rate on your chart, on your instrument, on your timeframe. Live.
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Built On Money Flow Dynamics Forecaster 3D
This is the next iteration. Same solid confluence-detection engine, rebuilt rendering, and a performance dashboard on top for visual proof of how the system is doing.
Improvements over v1:
Win-rate dashboard with ATR-scaled MFE — every 🐳 / 🐋 signal is now tracked and scored. Each signal resolves when the next one fires, judged by directional close or MFE ≥ 0.5 × ATR. No more hand-waving about "does this actually work."
Seamless carpet terrain — layered strips share color between fill and outline. No visible seams; the terrain reads as one continuous surface.
Dotted wave contours — each HMA layer traces as a dotted line along its depth, like isobars on a topographic map. Wave shape is visible at a glance.
Depth fog gradient — far Z layers tint toward atmospheric navy-violet. Real 3D depth perception without extra wireframe.
Dotted wireframe, emphasized horizon — box edges and grids are dotted (quieter), while the Y=0 tide line is kept solid and bold as the one structural anchor that should stand out.
Unified ADX-mode terrain — ADX mode now renders a proper 12-layer terrain (v1 fell back to a single-ribbon). Both oscillator modes share identical visual grammar.
Cleaner defaults — Yaw −20°, Pitch 15°, axis markers off, back-wall grid off, mesh columns removed. Less visual noise out of the box.
Bug fixes — ring-buffer wrap when Slope Lookback > Time Span ; ADX-mode second-signal for the emoji confluence check; dead inputs cleaned up.
If you're coming from v1, interpretation is identical — same riders, same whales, same color semantics. The new dashboard simply gives you a way to measure how often confluence actually pays off.
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The Win-Rate Dashboard — Proof, Not Claims
Most indicators claim a success rate. This one measures it.
Every 🐳 / 🐋 signal is recorded at its first bar of entry and held pending — until the next signal fires. At that moment the indicator judges the previous signal by two criteria :
Directional close — did price close favorable at the next signal's bar? (bull: close > entry. bear: close < entry.)
MFE ≥ ATR threshold — did the favorable excursion between the two signals reach 0.5 × ATR (at the entry bar)? ATR multiplier is tunable.
Either criterion qualifies as a win. Direction alone is a win. MFE alone is a win. No fixed evaluation window — signals are judged against reality when the regime actually changes.
The threshold is volatility-relative : quiet instruments need small moves, volatile ones need larger moves. Always calibrated to the instrument, never arbitrary.
The dashboard shows:
Total bull and bear signals fired (resolved ones only — the most recent signal is pending until the next)
How many won
Rolling win rate, traffic-lit — green ≥ 60%, yellow 40–60%, red < 40%
Your ATR multiplier, printed right on the table
Why next-signal evaluation? Because fixed bar counts are arbitrary. A regime lasts as long as it lasts. When the next whale flips, the previous whale's journey is over — and that's the fair moment to judge it. Entry quality and regime persistence are both captured naturally.
The result: you don't trust marketing, you trust your own data . Every number is computed from your chart, right now, with your settings. Change the ATR multiplier, change the timeframe — the dashboard updates. This is how an indicator should prove itself.
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The Signal
Confluence requires agreement between two fundamentally different witnesses:
Money Flow — volume-weighted momentum (MFI). 20 Hull-smoothed layers (HMA 3 → HMA 60). Detects accumulation or distribution before price has to move.
Price Current — volume-weighted directional pressure (Hull-VWMA 2-bar slope, or signed-ADX HMAs). 12 layers. Detects committed displacement of price.
Money Flow leads. Price Current confirms. When both middle-layer slopes point the same way, a whale fires. That is the signal worth trading — not a crossover, not a threshold break, but two independent systems aligning.
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What You See
Layered dotted waves — each HMA smoothing horizon, stitched into a 3D carpet. Depth fog tints far layers into atmospheric haze for real 3D perception.
Forecast terrain — each layer slope-extrapolated with exponential decay into the future half of the box.
🏄♂ Surfer — rides the Money Flow leading edge (the impulse).
⛵ Sailboat — rides the Price Current leading edge (the trend).
🐳 / 🐋 Whale — surfaces at the forecast edge when both slopes agree. Confluence confirmed.
Dashboard — running win rate, always visible.
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How to Use
Load with defaults. Switch chart to Volume Candles.
Check the dashboard — what is your current win rate on this instrument / timeframe?
Tune Win Threshold (× ATR) to match how strict you want the measurement to be — 0.3×ATR = loose, 0.5×ATR = balanced (default), 1.0×ATR = strict.
Watch for 🐳 or 🐋. They are rare by design.
On a whale, align with the direction. On no whale, stand aside. Let the dashboard keep scoring.
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Best Paired With Smart Candle Structures
This indicator tells you whether and when to trust the flow. Smart Candle Structures tells you where to act — order blocks, fair-value gaps, liquidity sweeps, BOS / CHoCH zones.
Together: the right place, at the right moment, with a measurable win rate behind it.
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Key Settings
Time Span — past bars rendered and forecast horizon (default 15)
Momentum Source — MFI (default) or RSI
Oscillator Type — Hull-VWMA (default) or signed-ADX
Slope Lookback — bars used to compute the slope that fires whales (default 4)
ATR Length — lookback for volatility scaling the win threshold (default 14)
Win Threshold (× ATR) — minimum favorable excursion between signals, as a multiple of ATR at the entry bar (default 0.5 × ATR)
Depth Fog Strength — atmospheric depth gradient on far layers (default 0.55)
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Disclaimer
This is a visualization and analytical tool, not financial advice or a signal service. The dashboard measures what has happened on your chart; it does not predict what will. Markets are reflexive. Past performance does not guarantee future results. Trade with your own risk management. Every trade can lose.
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Confluence you can measure.
— TechnicalZen
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