Grok/Claude AI Neural Fusion Pro V2AI Neural Fusion Pro V2 - New Features
Overview
Version 2 of AI Neural Fusion Pro introduces two complementary protection systems designed to preserve capital during market extremes. The first prevents over-buying during violent crashes. The second prevents over-selling during powerful rallies. Together, they transform a reactive trading system into one that adapts intelligently to market conditions.
Feature 1: Cascade Protection
Purpose
Cascade Protection prevents capital destruction during violent market crashes by implementing two independent safeguards that must both pass before any buy signal can fire.
The Problem It Solves
During market crashes, several dangerous conditions occur simultaneously. Volatility spikes to extreme levels, indicators scream "oversold," and each dip looks like the bottom. Traditional systems fire buy after buy, depleting capital reserves while price continues falling. By the time the actual bottom forms, there's no capital left to capture it.
How It Works
Layer 1: BBWP Freeze
Bollinger Band Width Percentile measures current volatility relative to historical volatility. When BBWP exceeds 92%, it indicates the market is experiencing abnormal volatility—typically during liquidation cascades or panic selling. During these periods, all buy signals are frozen regardless of how oversold conditions appear. This is an absolute freeze with no exceptions.
Layer 2: Consecutive Buy Counter
This layer limits the maximum number of buy orders that can execute without an intervening sell. The default limit is 3 consecutive buys. Once reached, additional buy signals are blocked until a sell signal fires and resets the counter. This prevents the common scenario where a bot keeps averaging down position after position during an extended decline.
Configuration
SettingDefaultDescriptionEnable Cascade ProtectionONMaster toggle for entire featureBBWP Length7Period for Bollinger Band calculationBBWP Lookback100Historical period for percentile rankingBBWP Freeze Level92%Threshold above which buys freezeMax Consecutive Buys3Maximum buys before forced pause
Panel Display
The info panel shows real-time protection status with color-coded feedback:
BBWP row: Shows current percentage and status (OK in green, FROZEN in red)
Buy Counter row: Shows current count versus maximum (green when available, orange approaching limit, red when blocked)
Key Behavior
Sell signals are never affected by cascade protection
The buy counter resets to zero after any sell signal fires
BBWP freeze is absolute—even extreme oversold conditions cannot bypass it
Feature 2: Dynamic Cooldown
Purpose
Dynamic Cooldown prevents over-selling during powerful rallies by automatically extending the minimum time between signals when the market enters a strong trend.
The Problem It Solves
During strong rallies, traditional indicators repeatedly hit overbought conditions, triggering sell after sell as price climbs. A trader might execute 10-15 sells during a sustained move from $86K to $93K, selling away their position piece by piece instead of letting profits run. Each sell captures a small gain while missing the larger move.
How It Works
The system monitors ADX (Average Directional Index) to detect trend strength. When ADX exceeds 50 and is rising, the market has entered a powerful trending phase. During these conditions, the cooldown period between signals automatically increases from 5 bars to 10 bars.
This means signals fire less frequently during strong trends, allowing positions more time to develop before the next potential exit. The extended cooldown applies equally to both buy and sell signals, though the primary benefit is reducing premature sells during rallies.
Normal Market (ADX < 50 or falling):
Cooldown = 5 bars (25 minutes on 5-minute chart)
Standard signal frequency
Strong Trend (ADX > 50 and rising):
Cooldown = 10 bars (50 minutes on 5-minute chart)
Reduced signal frequency to let trends develop
Configuration
SettingDefaultDescriptionEnable Dynamic CooldownONMaster toggle for featureSignal Cooldown5 barsStandard cooldown between signalsStrong Trend ADX Threshold50ADX level that triggers extended cooldownStrong Trend Cooldown10 barsExtended cooldown during strong trends
Panel Display
The info panel provides visual indication of current cooldown state:
ADX row: Shows value with arrow indicator (ADX ↑) when in strong trend mode, blue background when above threshold
Cooldown row: Shows active cooldown period with arrow indicator (Cooldown ↑) when extended, blue background during strong trends
Key Behavior
Cooldown applies to both buy and sell signals equally
Transition between modes is automatic based on ADX conditions
ADX must be both above threshold AND rising to trigger extended cooldown
When ADX stops rising or drops below threshold, cooldown returns to normal immediately
Combined Effect
These two features work together to create a more intelligent trading system:
During Crashes:
BBWP spikes above 92% → Buys frozen
System waits for volatility to normalize
When BBWP drops, limited buys (3 max) capture the actual bottom
Capital preserved for recovery
During Rallies:
ADX rises above 50 → Cooldown extends to 10 bars
Fewer sell signals fire during the move
Positions held longer, capturing more of the trend
Profits allowed to run
During Normal Markets:
Standard 5-bar cooldown
No BBWP restrictions
Full signal frequency for active trading
Summary
Version 2 transforms AI Neural Fusion Pro from a purely reactive indicator into an adaptive system that recognizes market extremes and adjusts its behavior accordingly. Cascade Protection guards against buying into crashes. Dynamic Cooldown guards against selling out of rallies. Together, they help preserve capital during adverse conditions while allowing full participation when markets behave normally.
Indicatori e strategie
Мой скриптinputs:
window(1),
type(0), // 0: close, 1: high low, 2: fractals up down, 3: new fractals
persistent(False),
exittype(1),
nbars(160),
adxthres(40),
nstop(3000);
vars:
currentSwingLow(0),
currentSwingHigh(0),
trailStructureValid(false),
downFractal(0),
upFractal(0),
breakStructureHigh(0),
breakStructureLow(0),
BoS_H(0),
BoS_L(0),
Regime(0),
Last_BoS_L(0),
Last_BoS_H(0),
PeakfilterX(false);
BoS(window,persistent,type,Bos_H,BoS_L,upFractal,downFractal,breakStructureHigh,breakStructureLow);
//BOS Regime
If BoS_H <> 0 then begin
Regime = 1; // Bullish
Last_BoS_H = BoS_H ;
end;
If BoS_L <> 0 Then begin
Regime = -1; // Bearish
Last_BoS_L = BoS_L ;
end;
//Entry Logic: if we are in BoS regime then wait for break swing to entry
if ADX(5) of data2 < adxthres then begin
if time>900 and Regime = 1 and EntriesToday(date)= 0 and Last_BoS_H upFractal then buy next bar at market;
end;
if time>900 and EntriesToday(date)= 0 and Regime = -1 and Last_BoS_L>downFractal then
begin
if close < downFractal then sellshort next bar at market;
end;
end;
// Exits: nbars or stoploss or at the end of the day
if marketposition <> 0 and barssinceentry >nbars then begin
sell next bar at market;
buytocover next bar at market;
end;
setstoploss(nstop);
setexitonclose;
FX OSINT — Institutional Midnight Intelligence For ForexFX OSINT — Institutional Midnight Intelligence For Forex
See Your FX Charts Like an Intelligence Briefing, Not a Guess
If you’ve ever stared at EURUSD or GBPJPY and thought:
Where is the real liquidity?
Is this move sponsored by smart money or just noise?
Am I buying into premium or discount?
…then FX OSINT is designed for you.
FX OSINT (Forex Open Source Intelligence) treats the FX market the way an analyst treats an investigation:
Collect open‑source signals from price, time, and volatility.
Map out liquidity, structure, and sessions in a repeatable way.
Present them in a clean, non‑cluttered dashboard so you can read context quickly.
No rainbow spaghetti. No 12 indicators stacked on top of each other. Just structured information, midnight visuals, and a clear read on what the market is doing right now.
Why FX OSINT Exists
Many FX traders run into the same problems:
Overloaded charts – multiple indicators fighting for space, none talking to each other.
Signals with no context – arrows that ignore structure, sessions, and liquidity.
Tools not tuned for FX – generic indicators that don’t care what pair you are on.
FX OSINT brings this together into one FX‑focused framework that:
Understands structure : BOS/CHOCH, swings, and trend across multiple timeframes.
Respects liquidity : sweeps, order blocks, and FVGs with controlled visibility.
Reads volatility & ADR : how far today’s range has developed.
Knows the clock : London, New York, and key killzones.
Scores confluence : a 0–100 engine that summarizes how much is lining up.
FX OSINT is built for traders who want structured, institutional‑style logic with a disciplined, midnight‑themed UI —not flashing buy/sell buttons.
1. Midnight Dashboard — Top‑Right Intelligence Panel
This panel acts as your compact “situation room”:
CONFLUENCE — 0–100 score blending trend alignment, volatility regime, sessions, liquidity events, order blocks, FVGs, and ADR context.
REGIME — Low / Building / Normal / Expansion / Extreme, driven by ATR relationships, so you know if you’re in chop, trend, or expansion.
HTF / MTF / LTF TREND — Higher‑, medium‑, and current‑timeframe bias in one place, so you see if you are trading with or against the larger flow.
ADR USED — How much of today’s typical range has already been consumed in percentage terms.
PIP VALUE — Approximate pip size per pair, including JPY‑style pairs.
Everything is bold, legible, and color‑coded, but the layout stays minimal so you can:
Look once → understand the context.
2. Structure, BOS, CHOCH — Smart‑Money‑Style Skeleton
FX OSINT tracks swing highs and lows, then shows how structure evolves:
Trend logic based on evolving swings, not just a moving average cross.
BOS (Break of Structure) when price expands in the direction of trend.
CHOCH (Change of Character) when behavior flips and the market structure changes.
Labels are selective, not spammy . You don’t get a tag on every minor wiggle—only when structure meaningfully shifts, so it’s easier to answer:
"Are we continuing the current leg, or did something actually change here?"
3. Liquidity Sweeps, Order Blocks & FVGs — The OSINT Layer
FX OSINT treats liquidity as a key information layer:
Liquidity sweeps — Detects when price spikes through recent highs/lows and then snaps back, flagging potential stop runs.
Order blocks — The last opposite candle before a displacement move, drawn as controlled boxes with limited lifespan to avoid clutter.
Fair Value Gaps (FVGs) — Three‑candle imbalances rendered as precise zones with a cap on how many can exist at once.
Under the hood, boxes are managed so your chart does not become a wall of old zones:
// Draw Order Blocks with overlap prevention
if isBullishOB and showOrderBlocks
if array.size(obBoxes) >= maxBoxes
oldBox = array.shift(obBoxes)
box.delete(oldBox)
newBox = box.new(bar_index , low , bar_index + obvLength, high ,
border_color = bullColor, bgcolor = bullColorTransp,
border_width = 2, extend = extend.none)
array.push(obBoxes, newBox)
Box limits keep the number of zones under control.
Borders and transparency are tuned so you still see price clearly.
You end up with a curated liquidity map , rather than a chart buried under every level price has ever touched.
4. Volatility, ADR & Sessions — Time and Range Intelligence
FX OSINT runs a Volatility Regime Analyzer and an ADR engine in the background:
Volatility regime — Five states (Low → Extreme) derived from fast vs. slow ATR.
ADR bands — Daily high/mid/low projected from the current daily open.
ADR used % — How far today’s move has traveled relative to its typical range.
On the time side:
Asia, London, New York sessions are softly highlighted with a single active background to avoid overlapping colors.
Killzones (e.g., London and New York opens) can be emphasized when you want to focus on where significant moves often begin.
Together, this helps you answer:
"What time is it in the trading day?"
"How stretched are we?"
"Is expansion just starting, or are we late to the move?"
5. ICT‑Style Add‑Ons — BOS/CHOCH, Premium/Discount, and Confluence
For modern FX / ICT‑inspired workflows, FX OSINT includes:
BOS / CHOCH labels — Clear structural shifts based on swings.
Premium / Discount zones — 25%, 50%, 75% levels of the daily range, so you know if you are buying discount in an uptrend or selling premium in a downtrend.
Confluence score — A single number summarizing how many conditions line up in the current context.
Instead of replacing your plan, FX OSINT compresses your checklist into the chart:
Structure
Liquidity
Session / Time
Volatility / ADR
Higher‑timeframe alignment
When these agree, the dashboard reflects it. When they don’t, it stays neutral and lets you see the conflict.
How To Use FX OSINT
FX OSINT is not a signal bot. It is an information engine that organizes context so you can apply your own plan.
A typical workflow might look like:
Start on higher timeframes (e.g., H4/D1) to form directional bias from structure, volatility regime, and ADR context.
Move to intraday timeframes (e.g., M15/H1) around your chosen sessions (London and/or New York).
Look for confluence :
HTF / MTF / LTF trends aligned.
Price in discount for longs or premium for shorts.
Recent liquidity sweep into a meaningful OB or FVG.
Confluence score at or above a level you consider significant.
Then refine entries using BOS/CHOCH on lower timeframes according to your own risk and execution rules.
FX OSINT aims to make sure you do not enter a trade without seeing:
Where you are in the day (ADR and sessions).
Where you are in the volatility cycle (regime).
Who currently appears in control (structure and trend).
Which liquidity was just targeted (sweeps and zones).
Design Choices and Scope
FX OSINT was designed around a few clear constraints:
FX‑focused — Logic and filters tuned for FX majors, minors, exotics, and metals. It is intended for FX markets, not for every possible asset class.
Open‑source — The full Pine Script code is available so you can read it, learn from it, and adapt it to your own workflow if needed.
Clear themes — Two main visual styles (e.g., dark institutional “midnight” and a lighter accent variant) with a focus on readability, not visual noise.
Chart‑friendly — Panels use fixed areas, session highlights avoid overlapping, and boxes are capped/pruned so the chart remains usable.
FX OSINT is for only Forex pairs, not anything else!
Hope you enjoyed and remember your Open Source Intelligence Matters 😉!
-officialjackofalltrades
Minho Index | SETUP (Safe Filter 90%)//@version=5
indicator("Minho Index | SETUP (Safe Filter 90%)", shorttitle="Minho Index | SETUP+", overlay=false)
//--------------------------------------------------------
// ⚙️ INPUTS
//--------------------------------------------------------
bullColor = input.color(color.new(color.lime, 0), "Bull Color (Minho Green)")
bearColor = input.color(color.new(color.red, 0), "Bear Color (Red)")
neutralColor = input.color(color.new(color.white, 0), "Neutral Color (White)")
lineWidth = input.int(2, "Line Width")
period = input.int(14, "RSI Period")
centerLine = input.float(50.0, "Central Line (Fixed at 50)")
//--------------------------------------------------------
// 🧠 BASE RSI + INTERNAL SMOOTHING
//--------------------------------------------------------
rsiBase = ta.rsi(close, period)
rsiSmooth = ta.sma(rsiBase, 3) // light smoothing
//--------------------------------------------------------
// 🔍 TREND DETECTION AND NEUTRAL ZONE
//--------------------------------------------------------
trendUp = (rsiSmooth > rsiSmooth ) and (rsiSmooth > rsiSmooth )
trendDown = (rsiSmooth < rsiSmooth ) and (rsiSmooth < rsiSmooth )
slopeUp = (rsiSmooth > rsiSmooth )
slopeDown = (rsiSmooth < rsiSmooth )
lineColor = neutralColor
if trendUp
lineColor := bullColor
else if trendDown
lineColor := bearColor
else if slopeUp or slopeDown
lineColor := neutralColor
//--------------------------------------------------------
// 📈 MAIN INDEX LINE
//--------------------------------------------------------
plot(rsiSmooth, title="Dynamic RSI Line (Safe Filter)", color=lineColor, linewidth=lineWidth)
//--------------------------------------------------------
// ⚪ FIXED CENTRAL LINE
//--------------------------------------------------------
plot(centerLine, title="Central Line (Highlight)", color=neutralColor, linewidth=1)
//--------------------------------------------------------
// 📊 NORMALIZED MOVING AVERAGES (SMA20 and EMA20)
//--------------------------------------------------------
SMA20 = ta.sma(close, 20)
EMA20 = ta.ema(close, 20)
// Normalization 0–100
minPrice = ta.lowest(low, 100)
maxPrice = ta.highest(high, 100)
rangeCalc = maxPrice - minPrice
rangeCalc := rangeCalc == 0 ? 1 : rangeCalc
normSMA = ((SMA20 - minPrice) / rangeCalc) * 100
normEMA = ((EMA20 - minPrice) / rangeCalc) * 100
//--------------------------------------------------------
// 🩶 MOVING AVERAGES PLOTS (GHOST-GREY STYLE)
//--------------------------------------------------------
ghostColor = color.new(color.rgb(200,200,200), 65)
plot(normSMA, title="SMA 20 (Ghost Grey)", color=ghostColor, linewidth=2)
plot(normEMA, title="EMA 20 (Ghost Grey)", color=ghostColor, linewidth=2)
//--------------------------------------------------------
// 🌈 FILL BETWEEN MOVING AVERAGES
//--------------------------------------------------------
bullCond = normSMA < normEMA
bearCond = normSMA > normEMA
fill(
plot(normSMA, display=display.none),
plot(normEMA, display=display.none),
color = bearCond ? color.new(color.red, 55) :
bullCond ? color.new(color.lime, 55) : na
)
//--------------------------------------------------------
// ✅ END OF INDICATOR
//--------------------------------------------------------
Fibonacci Zones and RejectionsThis tool combines swing structure, Fibonacci retracements and candle-wick rejection logic to highlight high-probability reversal or continuation zones.
What it does
Tracks market structure automatically
Detects swing highs and swing lows based on a user-defined Structure Period.
Marks bullish shifts in structure and bearish shifts with CHoCH labels and Break of Structure (BoS) lines.
Optionally draws a dotted swing trend line between the active swing high and swing low and can show price labels at those swing points.
Draws dynamic Fibonacci retracements on the latest swing
Automatically anchors a Fibonacci retracement between the current swing high and swing low.
Lets you enable/disable individual Fibonacci levels and customize their values, colors and line width.
Can extend Fib levels forward to the latest bar and optionally keep previous Fib structures on the chart for context.
Optionally fills the “Golden Zone” (by default the first two levels, e.g. 0.50 and 0.618) so the core pullback area is visually obvious.
Defines an OTE / “Gold Zone” band from the active Fib levels
Uses the first two Fib lines (by default 0.50 and 0.618 or set another zone such as 61.8% to 78.6%) to form a live “Optimal Trade Entry” band.
Continuously updates this band as new structure forms and swings develop.
Detects rejection candles inside the Fib OTE band
Breaks each candle into upper wick, lower wick, body and total range.
A bullish rejection is a candle where:
Price trades into the OTE band,
The lower wick is a large portion of the bar’s range, and
The body is not tiny (minimum body-to-range ratio is configurable).
A bearish rejection is the mirror condition using the upper wick.
Only candles whose range overlaps the OTE band are considered; this filters for true reactions to the Fib zone.
Plots clear signals and alerts
Bullish OTE rejection is plotted as a large cross at the low of the candle.
Bearish OTE rejection is plotted as a large cross at the high of the candle.
Built-in alertcondition calls allow you to set alerts for:
Bullish OTE Rejection
Bearish OTE Rejection
Optional “debug” markers can show all raw rejection candles and all bars that sit inside the OTE band, to help you understand how the logic behaves.
Use cases
Identify pullback entries into the desired Fib zone after a clear structural move.
Confirm reversals or continuations using wick-based rejection inside a pre-defined Fib discount/premium zone.
Combine with your own higher-timeframe bias or ICT / SMC tools to refine entry timing around key levels.
HTCTS - Session & Time LiquidityHTCTS - Session & Time Liquidity
1. ภาพรวมการทำงาน (Overview)
อินดิเคเตอร์ตัวนี้ทำหน้าที่ 4 อย่างหลักพร้อมกัน:
Auto DST (ปรับเวลาตามฤดูอัตโนมัติ): คุณไม่ต้องมานั่งแก้เวลาเมื่อตลาดต่างประเทศเปลี่ยนเวลา (Daylight Saving Time) เพราะโค้ดอ้างอิง Timezone ของตลาดนั้นๆ โดยตรง (เช่น NY ใช้ America/New_York)
Session Bars: แสดงแถบสีเล็กๆ ด้านล่างจอเพื่อบอกว่าตอนนี้อยู่ใน Session ไหน (Asia, London, NY AM, NY PM, Thai) แทนการถมสีพื้นหลังซึ่งอาจจะรกตา
High/Low Levels & Sweeps: เมื่อจบ Session โปรแกรมจะตีเส้น High และ Low ของช่วงเวลานั้นทิ้งไว้ ถ้ากราฟวิ่งไปชนเส้นเหล่านั้น (Breakout/Sweep) เส้นจะเปลี่ยนเป็นเส้นประและขึ้นข้อความว่า "(Swept)"
1. Indicator Overview and Purpose (ICT/SMC Framework)
This custom Pine Script indicator is designed specifically for traders utilizing ICT (Inner Circle Trader) or SMC (Smart Money Concepts) methodologies. Its primary function is to simplify the analysis of Time & Price by automatically defining and tracking key market sessions, their resulting liquidity levels (High/Low), and detecting liquidity sweeps (Stop Hunts).
The indicator is designed to be Zero-Maintenance regarding time zones, as it automatically adjusts for Daylight Saving Time (DST) changes in major financial centers (London, New York).
2. Key Features and Logic
A. Automatic DST Handling (Auto-DST)
The script uses specific, location-based time zones for global markets instead of a fixed GMT/UTC offset.
Asia: Uses Asia/Tokyo.
London: Uses Europe/London (Automatically adjusts for BST).
New York (AM/PM): Uses America/New_York (Automatically adjusts for EST/EDT).
This guarantees that the session times displayed on your chart (regardless of your local time, e.g., Thailand GMT+7) always align with the actual opening and closing moments of the corresponding financial market.
Simulated Liquidation Heatmap [QuantAlgo]🟢 Overview
This indicator visualizes where clusters of stop-loss orders and liquidation levels are likely located, displayed as a 'heatmap'. It's based on the concept of market structure liquidity: large groups of stop orders tend to gather around obvious technical levels (like swing highs and lows), and these pools of orders often attract price movement from institutional traders. The indicator uses a fractal-based algorithm to identify these high-probability liquidation zones and displays them as dynamic, color-coded boxes.
The key feature is the thermal color gradient, which indicates the freshness (age) and therefore the relative relevance of the liquidity zone. Hot colors (e.g., Red/Yellow) represent fresh clusters that have just formed, suggesting strong and immediate liquidity interest. Cold colors (e.g., Blue/Purple) represent aged or decaying clusters that are becoming less relevant over time. This visualization allows traders to anticipate potential liquidity sweeps (stop hunts) and understand areas of significant retail and institutional positioning.
🟢 Key Features
1. Liquidity Zone Heatmap
The core function is the identification of swing high and swing low price points using a user-defined Lookback period. These points are where retail traders are statistically most likely to place their stop-loss orders. The indicator simulates the clustering of these orders by drawing a zone (box) around the detected swing point, with the vertical size controlled by the Stop/Liquidation Zone Width (%) setting.
▶ Cluster Lookback: Defines the sensitivity of swing point detection. Lower values detect frequent, minor zones (scalping/intraday); higher values detect major, stronger swing points (swing trading).
▶ Zone Width (%): Sets the percentage range above and below the swing point where stops are simulated to cluster, accounting for slippage and typical stop placement spread.
▶ Liquidity Decay: Zones gradually fade in color intensity and are eventually removed after the user-defined Liquidity Decay Period (Bars), ensuring the heatmap only displays relevant, current liquidity areas.
▶ Round Number Filter: An optional filter that limits the display to liquidity zones occurring only at psychologically significant round numbers (e.g., $100, $1,500.00), which typically attract higher concentrations of orders.
2. Thermal Color Gradient
The heatmap's color is a direct function of the zone's age, providing a visual proxy for immediate relevance.
▶ Freshness: Newly created zones are displayed in the Hot Color (high relevance).
▶ Decay: As bars pass, the zone color transitions along the gradient toward the Cold Color and increased transparency (lower relevance), until it is removed entirely.
▶ Color Schemes: Multiple pre-configured and custom color schemes are available to optimize the visualization for different chart themes and color preferences.
3. Liquidity Heat Thermometer
An optional visual thermometer is displayed on the chart to provide an instant, overall assessment of the current liquidation heat level in the immediate vicinity of the price.
▶ Calculation: The thermometer calculates an aggregate heat score based on the age and proximity of all liquidity zones within a user-defined Zone Detection Range (%) of the current price.
▶ Visual Feedback: A marker (triangle) points to the corresponding level on the thermometer's color gradient (Hot to Cold). A high reading indicates price is close to fresh, dense stop clusters, suggesting high volatility or an imminent liquidity sweep is probable. A low reading indicates price is in a low-density or aged liquidity area.
▶ Customization: The thermometer's resolution, position, and text size are fully customizable for optimal chart placement and readability.
🟢 Practical Applications
▶ Anticipate Sweeps: Prioritize trading in the direction of Hot (fresh) liquidity zones. For example, a hot low-side zone suggests strong sell-side liquidity (stop-losses) is available for large buyers to sweep.
▶ Filter Noise: Use the Round Number Filter to focus only on the highest probability liquidation zones, which are often at clean, psychological price levels.
▶ Validate Entries: Combine the Heat Thermometer with price action analysis. A rising heat level indicates increasing proximity to a major stop cluster, signaling a potential turn or an aggressive market move to sweep those stops.
▶ Risk Management: Understand that price often acts dynamically around these zones. High heat levels imply high risk/reward setups; stops should be placed strategically beyond the defined Liquidation Zone Width.
▶ Multi-Timeframe Context: Higher timeframes (e.g., Daily, 4-Hour) often reveal more significant, major liquidity zones. Use this indicator on lower timeframes (e.g., 5-min, 15-min) for execution, but prioritize zones that align with higher-timeframe structures.
VWAP + EMA9/21/50 + Ichimoku + RSI (M5) - Strict + TPSL//@version=5
indicator("VWAP + EMA9/21/50 + Ichimoku + RSI (M5) - Strict + TPSL", overlay=true, shorttitle="VWAP_EMA_ICH_RSI_TPSL")
// === Inputs ===
emaFastLen = input.int(9, "EMA Fast (9)")
emaMidLen = input.int(21, "EMA Mid (21)")
emaSlowLen = input.int(50, "EMA Slow (50)")
// Ichimoku inputs
tenkanLen = input.int(9, "Tenkan Sen Length")
kijunLen = input.int(26, "Kijun Sen Length")
senkouBLen = input.int(52, "Senkou B Length")
displacement = input.int(26, "Displacement")
// RSI
rsiLen = input.int(14, "RSI Length")
rsiThreshold = input.int(50, "RSI Threshold")
// VWAP option
useSessionVWAP = input.bool(true, "Use Session VWAP (true) / Daily VWAP (false)")
// Volume filter
useVolumeFilter = input.bool(true, "Enable Volume Filter")
volAvgLen = input.int(20, "Volume Avg Length")
volMultiplier = input.float(1.2, "Min Volume > avg *", step=0.1)
// Higher timeframe trend check
useHTF = input.bool(true, "Enable Higher-Timeframe Trend Check")
htfTF = input.string("60", "HTF timeframe (e.g. 60, 240, D)")
// Alerts / webhook
alertOn = input.bool(true, "Enable Alerts")
useWebhook = input.bool(true, "Send webhook on alerts")
webhookURL = input.string("", "Webhook URL (leave blank to set in alert)")
// TP/SL & Trailing inputs
useTP = input.bool(true, "Enable Take Profit (TP)")
tpTypeRR = input.bool(true, "TP as Risk-Reward ratio (true) / Fixed points (false)")
tpRR = input.float(1.5, "TP RR (e.g. 1.5)", step=0.1)
fixedTPpts = input.float(40.0, "Fixed TP (ticks/pips) if not RR")
useSL = input.bool(true, "Enable Stop Loss (SL)")
slTypeATR = input.bool(true, "SL as ATR-based (true) / Fixed points (false)")
atrLen = input.int(14, "ATR Length")
atrMult = input.float(1.5, "ATR Multiplier for SL", step=0.1)
fixedSLpts = input.float(20.0, "Fixed SL (ticks/pips) if not ATR")
useTrailing = input.bool(true, "Enable Trailing Stop")
trailType = input.string("ATR", "Trailing type: ATR or EMA", options= ) // "ATR" or "EMA"
trailATRmult = input.float(1.0, "Trailing ATR Multiplier", step=0.1)
trailEMAlen = input.int(9, "Trailing EMA Length (if EMA chosen)")
trailLockInPts = input.float(5.0, "Trail lock-in (min profit before trail active, pts)")
// Other
showArrows = input.bool(true, "Show Entry Arrows")
// === Calculations ===
ema9 = ta.ema(close, emaFastLen)
ema21 = ta.ema(close, emaMidLen)
ema50 = ta.ema(close, emaSlowLen)
// VWAP
vwapVal = ta.vwap
// Ichimoku
highestHighTenkan = ta.highest(high, tenkanLen)
lowestLowTenkan = ta.lowest(low, tenkanLen)
tenkan = (highestHighTenkan + lowestLowTenkan) / 2
highestHighKijun = ta.highest(high, kijunLen)
lowestLowKijun = ta.lowest(low, kijunLen)
kijun = (highestHighKijun + lowestLowKijun) / 2
highestHighSenkouB = ta.highest(high, senkouBLen)
lowestLowSenkouB = ta.lowest(low, senkouBLen)
senkouB = (highestHighSenkouB + lowestLowSenkouB) / 2
senkouA = (tenkan + kijun) / 2
// RSI
rsi = ta.rsi(close, rsiLen)
// Volume
volAvg = ta.sma(volume, volAvgLen)
volOk = not useVolumeFilter or (volume > volAvg * volMultiplier)
// Higher timeframe trend values
htf_close = request.security(syminfo.tickerid, htfTF, close)
htf_ema50 = request.security(syminfo.tickerid, htfTF, ta.ema(close, emaSlowLen))
htf_rsi = request.security(syminfo.tickerid, htfTF, ta.rsi(close, rsiLen))
htf_bull = htf_close > htf_ema50
htf_bear = htf_close < htf_ema50
htf_ok = not useHTF or (htf_bull and close > ema50) or (htf_bear and close < ema50)
// Trend filters (on current timeframe)
priceAboveVWAP = close > vwapVal
priceAboveEMA50 = close > ema50
priceAboveCloud = close > senkouA and close > senkouB
bullTrend = priceAboveVWAP and priceAboveEMA50 and priceAboveCloud
bearTrend = not priceAboveVWAP and not priceAboveEMA50 and not priceAboveCloud
// Pullback detection (price near EMA21 within tolerance)
tolPerc = input.float(0.35, "Pullback tolerance (%)", step=0.05) / 100.0
nearEMA21 = math.abs(close - ema21) <= ema21 * tolPerc
// Entry conditions
emaCrossUp = ta.crossover(ema9, ema21)
emaCrossDown = ta.crossunder(ema9, ema21)
longConditionBasic = bullTrend and (nearEMA21 or close >= vwapVal) and emaCrossUp and rsi > rsiThreshold
shortConditionBasic = bearTrend and (nearEMA21 or close <= vwapVal) and emaCrossDown and rsi < rsiThreshold
longCondition = longConditionBasic and volOk and htf_ok and (not useHTF or htf_bull) and (rsi > rsiThreshold)
shortCondition = shortConditionBasic and volOk and htf_ok and (not useHTF or htf_bear) and (rsi < rsiThreshold)
// More strict: require Tenkan > Kijun for bull and Tenkan < Kijun for bear
ichimokuAlign = (tenkan > kijun) ? 1 : (tenkan < kijun ? -1 : 0)
longCondition := longCondition and (ichimokuAlign == 1)
shortCondition := shortCondition and (ichimokuAlign == -1)
// ATR for SL / trailing
atr = ta.atr(atrLen)
// --- Trade management state variables ---
var float activeLongEntry = na
var float activeShortEntry = na
var float activeLongSL = na
var float activeShortSL = na
var float activeLongTP = na
var float activeShortTP = na
var float activeLongTrail = na
var float activeShortTrail = na
// Function to convert fixed points to price (assumes chart in points as price units)
fixedToPriceLong(p) => p
fixedToPriceShort(p) => p
// On signal, set entry, SL and TP
if longCondition
activeLongEntry := close
// SL
if useSL
if slTypeATR
activeLongSL := close - atr * atrMult
else
activeLongSL := close - fixedToPriceLong(fixedSLpts)
else
activeLongSL := na
// TP
if useTP
if tpTypeRR and useSL and not na(activeLongSL)
risk = activeLongEntry - activeLongSL
activeLongTP := activeLongEntry + risk * tpRR
else
activeLongTP := activeLongEntry + fixedToPriceLong(fixedTPpts)
else
activeLongTP := na
// reset short
activeShortEntry := na
activeShortSL := na
activeShortTP := na
// init trailing
activeLongTrail := activeLongSL
if shortCondition
activeShortEntry := close
if useSL
if slTypeATR
activeShortSL := close + atr * atrMult
else
activeShortSL := close + fixedToPriceShort(fixedSLpts)
else
activeShortSL := na
if useTP
if tpTypeRR and useSL and not na(activeShortSL)
riskS = activeShortSL - activeShortEntry
activeShortTP := activeShortEntry - riskS * tpRR
else
activeShortTP := activeShortEntry - fixedToPriceShort(fixedTPpts)
else
activeShortTP := na
// reset long
activeLongEntry := na
activeLongSL := na
activeLongTP := na
// init trailing
activeShortTrail := activeShortSL
// Trailing logic (update only when in profit beyond 'lock-in')
if not na(activeLongEntry) and useTrailing
// current unrealized profit in points
currProfitPts = close - activeLongEntry
if currProfitPts >= trailLockInPts
// declare candidate before use to avoid undeclared identifier errors
float candidate = na
if trailType == "ATR"
candidate := close - atr * trailATRmult
else
candidate := close - ta.ema(close, trailEMAlen)
// move trail stop up but never below initial SL
activeLongTrail := math.max(nz(activeLongTrail, activeLongSL), candidate)
// ensure trail never goes below initial SL if SL exists
if useSL and not na(activeLongSL)
activeLongTrail := math.max(activeLongTrail, activeLongSL)
// update SL to trailing
activeLongSL := activeLongTrail
if not na(activeShortEntry) and useTrailing
currProfitPtsS = activeShortEntry - close
if currProfitPtsS >= trailLockInPts
// declare candidateS before use
float candidateS = na
if trailType == "ATR"
candidateS := close + atr * trailATRmult
else
candidateS := close + ta.ema(close, trailEMAlen)
activeShortTrail := math.min(nz(activeShortTrail, activeShortSL), candidateS)
if useSL and not na(activeShortSL)
activeShortTrail := math.min(activeShortTrail, activeShortSL)
activeShortSL := activeShortTrail
// Detect TP/SL hits (for plotting & alerts)
longTPHit = not na(activeLongTP) and close >= activeLongTP
longSLHit = not na(activeLongSL) and close <= activeLongSL
shortTPHit = not na(activeShortTP) and close <= activeShortTP
shortSLHit = not na(activeShortSL) and close >= activeShortSL
if longTPHit or longSLHit
// reset long state after hit
activeLongEntry := na
activeLongSL := na
activeLongTP := na
activeLongTrail := na
if shortTPHit or shortSLHit
activeShortEntry := na
activeShortSL := na
activeShortTP := na
activeShortTrail := na
// Plot EMAs
p_ema9 = plot(ema9, title="EMA9", linewidth=1)
plot(ema21, title="EMA21", linewidth=1)
plot(ema50, title="EMA50", linewidth=2)
// Plot VWAP
plot(vwapVal, title="VWAP", linewidth=2, style=plot.style_line)
// Plot Ichimoku lines (Tenkan & Kijun)
plot(tenkan, title="Tenkan", linewidth=1)
plot(kijun, title="Kijun", linewidth=1)
// Plot cloud (senkouA & senkouB shifted forward)
plot(senkouA, title="Senkou A", offset=displacement, transp=60)
plot(senkouB, title="Senkou B", offset=displacement, transp=60)
fill(plot(senkouA, offset=displacement), plot(senkouB, offset=displacement), color = senkouA > senkouB ? color.new(color.green, 80) : color.new(color.red, 80))
// Plot active trade lines
plotshape(not na(activeLongEntry), title="Active Long", location=location.belowbar, color=color.new(color.green, 0), style=shape.circle, size=size.tiny)
plotshape(not na(activeShortEntry), title="Active Short", location=location.abovebar, color=color.new(color.red, 0), style=shape.circle, size=size.tiny)
plot(activeLongSL, title="Long SL", color=color.red, linewidth=2)
plot(activeLongTP, title="Long TP", color=color.green, linewidth=2)
plot(activeShortSL, title="Short SL", color=color.red, linewidth=2)
plot(activeShortTP, title="Short TP", color=color.green, linewidth=2)
// Arrows / labels
if showArrows
if longCondition
label.new(bar_index, low, "BUY", style=label.style_label_up, color=color.green, textcolor=color.white, size=size.small)
if shortCondition
label.new(bar_index, high, "SELL", style=label.style_label_down, color=color.red, textcolor=color.white, size=size.small)
// Alerts
// alertcondition must be declared in global scope so TradingView can create alerts from them
alertcondition(longCondition, "VWAP+EMA+Ichimoku+RSI — BUY (STRICT)", "BUY signal from VWAP+EMA+Ichimoku+RSI (STRICT)")
alertcondition(shortCondition, "VWAP+EMA+Ichimoku+RSI — SELL (STRICT)", "SELL signal from VWAP+EMA+Ichimoku+RSI (STRICT)")
// Runtime alerts (still use alert() to trigger immediate alerts; webhook is added in TradingView Alert dialog)
if alertOn
if longCondition
alert("VWAP+EMA+Ichimoku+RSI — BUY (STRICT)", alert.freq_once_per_bar_close)
if shortCondition
alert("VWAP+EMA+Ichimoku+RSI — SELL (STRICT)", alert.freq_once_per_bar_close)
// Alerts for TP/SL hits
if longTPHit
alert("LONG TP HIT", alert.freq_once_per_bar_close)
if longSLHit
alert("LONG SL HIT", alert.freq_once_per_bar_close)
if shortTPHit
alert("SHORT TP HIT", alert.freq_once_per_bar_close)
if shortSLHit
alert("SHORT SL HIT", alert.freq_once_per_bar_close)
// Info table
var table info = table.new(position.top_right, 1, 8)
if barstate.islast
table.cell(info, 0, 0, text = 'Trend: ' + (bullTrend ? 'Bull' : bearTrend ? 'Bear' : 'Neutral'))
table.cell(info, 0, 1, text = 'EMA9/21/50: ' + str.tostring(ema9, format.mintick) + ' / ' + str.tostring(ema21, format.mintick) + ' / ' + str.tostring(ema50, format.mintick))
table.cell(info, 0, 2, text = 'VWAP: ' + str.tostring(vwapVal, format.mintick))
table.cell(info, 0, 3, text = 'RSI: ' + str.tostring(rsi, format.mintick))
table.cell(info, 0, 4, text = 'Vol OK: ' + (volOk ? 'Yes' : 'No'))
table.cell(info, 0, 5, text = 'HTF: ' + htfTF + ' ' + (htf_bull ? 'Bull' : htf_bear ? 'Bear' : 'Neutral'))
table.cell(info, 0, 6, text = 'ActiveLong: ' + (not na(activeLongEntry) ? 'Yes' : 'No'))
table.cell(info, 0, 7, text = 'ActiveShort: ' + (not na(activeShortEntry) ? 'Yes' : 'No'))
// End of script
Crypto Anchored VWAP (Swing High/Low)Crypto Anchored VWAP (Swing High/Low)
This indicator provides an automatic Anchored VWAP system designed specifically for highly volatile assets such as cryptocurrencies (ETH, BTC, SOL, etc.).
Unlike traditional AVWAP tools that require manual date input, this script automatically anchors VWAP to the most recent swing high and swing low, making it ideal for real-time trend tracking and intraday/4H structure analysis.
How It Works
The script detects local swing lows and swing highs based on user-defined swing length.
When a new swing point appears, an Anchored VWAP is initialized from that specific candle.
As price evolves, the AVWAP dynamically becomes:
A trend boundary
A fair-value line
A mean-reversion attractor
Traders can use these levels to identify:
Trend continuation
Breakout confirmation
Mean reversion pullbacks
Overextended expansions
Included Features
✔ Auto-Anchored VWAP from swing low
✔ Auto-Anchored VWAP from swing high
✔ Standard deviation bands (1σ) for volatility context
✔ Designed for Crypto 4H / 1H / 15m
✔ Works on any asset & any timeframe
How To Use
1. Trend Direction
Price above Swing-Low VWAP → Bullish bias
Price below Swing-High VWAP → Bearish bias
2. Trade Setups
Break → Retest → Hold above AVWAP = Trend continuation long
Reject from AVWAP / σ band = Mean-reversion short setup
AVWAP zone → High probability liquidity reaction
3. Volatility Bands
Price touching +1σ = extension
Price returning to 0σ = mean reversion
Price breaking −1σ = trend weakening
Inputs
Swing Length: determines sensitivity of swing high/low detection
(Default: 5)
Best Use Cases
ETH 4H trend following
BTC structure shifts
Altcoin volatility filtering
Identifying institutional "cost basis" zones
Confirming breakouts / fakeouts
Notes
This is not a trading system by itself but a structural tool meant to help traders understand trend and value location. Always combine AVWAP with market structure, volume, and risk management.
Disclaimer
This script is for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any asset. Use at your own discretion.
NEXFEL – Quantum Adaptive MACD System v2.0# NEXFEL – Quantum Adaptive MACD System v2.0
## 📌 Overview
The **NEXFEL – Quantum Adaptive MACD System v2.0** is an advanced, fully integrated decision-support tool built upon an enhanced adaptive MACD engine.
Unlike traditional MACD implementations that rely on fixed parameters, this system uses **R² correlation** to dynamically adjust sensitivity based on current market behavior.
This indicator **does not simply merge tools**; it unifies:
- Adaptive MACD calculation
- Multi-timeframe sentiment (1H + 4H)
- Market regime detection
- Volume confirmation
- Confidence scoring (0–100%)
- ATR stop-loss visualization
- Session filtering
- Daily trade limit control
into a **single coherent trading framework**.
This publication replaces my previous “Adaptive MACD Flow PRO”, as this version is a complete rewrite with new logic, improved structure, and expanded analytical capabilities.
---
## ⚙️ How It Works
### **1. Adaptive MACD Core (R²-Based)**
The MACD sensitivity is adjusted using R² correlation:
- High R² → smoother & more stable response
- Low R² → more reactive & faster response
This adaptation allows the oscillator to naturally adjust to different volatility environments.
---
### **2. Multi-Timeframe Sentiment**
The system analyzes:
- **1H EMAs (10/30)**
- **4H EMAs (20/50)**
A directional sentiment score is generated, allowing signals only when the local timeframe aligns with the higher timeframe structure.
---
### **3. Market Regime Detection**
The indicator identifies whether the market is:
- **TRENDING**
- **RANGING**
- **NEUTRAL**
Signals are validated or filtered depending on the active regime.
---
### **4. Confidence Scoring System (0–100%)**
The signal quality is measured by weighting:
- Momentum
- Volume confirmation
- Market regime compatibility
- Multi-timeframe alignment
- Local trend direction
- Short-term momentum
Only **high-confidence** conditions produce the safest BUY/SELL signals.
---
### **5. ATR Stop-Loss Visualization**
Dynamic stop levels are displayed using:
- ATR × multiplier
A visual reference for risk management without executing trades.
---
### **6. Daily Trade Limit Control**
To prevent overtrading, the system tracks daily signals and restricts new ones once a limit is reached.
---
### **7. Multi-Language Interface**
The panel can display:
- **English**
- **Portuguese**
depending on user selection.
(TradingView requires English as the primary language, which is why it appears first in this description.)
---
## 👤 Who This Script Is For
- Traders seeking a more reliable and adaptive MACD
- Scalpers who prefer high-confirmation entries
- Swing traders analyzing market regimes
- Users needing a clean, objective analytical panel
---
## ⚠️ Important
This indicator does **not** execute trades and does not guarantee results.
It is a **decision-support system**, not a trading bot.
# 📝 Author’s Notes
This version is a complete redesign of my previous indicator.
All components were rebuilt, expanded, and optimized to offer a more structured and reliable trading system.
Momentum Permission + Pivot Entry + Exit (v1.4)//@version=5
indicator("Momentum Permission + Pivot Entry + Exit (v1.4)", overlay=true)
// ──────────────────────────────────────────────
// Inputs
// ──────────────────────────────────────────────
smaLength = input.int(50, "SMA Length")
relVolThresh = input.float(1.3, "Relative Volume Threshold")
pivotLookback = input.int(3, "Pivot Break Lookback")
// ──────────────────────────────────────────────
// Core Calculations
// ──────────────────────────────────────────────
sma50 = ta.sma(close, smaLength)
vwap = ta.vwap(close)
relVol = volume / ta.sma(volume, 10)
crossUp = ta.crossover(close, sma50)
aboveSMA = close > sma50
aboveVWAP = close > vwap
relStrong = relVol > relVolThresh
greenCandle = close > open
// ──────────────────────────────────────────────
// One-Time Daily Trend Permission
// ──────────────────────────────────────────────
var bool permission = false
if ta.change(time("D"))
permission := false
trendStart = crossUp and aboveVWAP and relStrong and not permission
if trendStart
permission := true
// ──────────────────────────────────────────────
// Pullback Pivot Breakout Entry (Continuation Long)
// ──────────────────────────────────────────────
pivotHighBreak = close > ta.highest(high , pivotLookback)
entryTrigger = (
permission and
aboveSMA and
aboveVWAP and
relStrong and
greenCandle and
pivotHighBreak
)
// ──────────────────────────────────────────────
// EXIT Signal (Trend Exhaustion)
// ──────────────────────────────────────────────
smaChange = sma50 - sma50
exitSignal = (
permission and // only after trend started
close < vwap and // VWAP breakdown
close < open and // red candle body
relVol > relVolThresh and // volume spike on selling
smaChange < 0 // SMA turning down / flattening
)
// ──────────────────────────────────────────────
// Plots
// ──────────────────────────────────────────────
plot(sma50, title="SMA50", color=color.orange, linewidth=2)
plot(vwap, title="VWAP", color=color.new(color.blue, 0), linewidth=2)
// Permission marker (1 per day)
plotshape(
trendStart,
title="Trend Permission",
style=shape.triangleup,
location=location.belowbar,
color=color.new(color.green, 0),
size=size.large,
text="PERMIT"
)
// Entry trigger markers
plotshape(
entryTrigger,
title="Entry Trigger",
style=shape.triangleup,
location=location.abovebar,
color=color.new(color.aqua, 0),
size=size.normal,
text="ENTRY"
)
// EXIT marker (trend exhaustion)
plotshape(
exitSignal,
title="Exit Signal",
style=shape.triangledown,
location=location.abovebar,
color=color.new(color.red, 0),
size=size.large,
text="EXIT"
)
Auto Trend Channels OXEThis indicator automatically detects and draws trend channels based on swing highs and lows.
How it works:
It identifies pivot points (swing highs/lows) using your chosen lookback period, then connects consecutive pivots to form channels:
Descending channels connect lower highs (resistance line), with a parallel support line projected from the lowest low between those highs
Ascending channels connect higher lows (support line), with a parallel resistance line projected from the highest high between those lows
Key features:
Channels extend forward so you can see where price might interact with them
Broken channels automatically switch to dashed lines and show "✗" labels
Fill shading helps visualize the channel zone
Info table shows current pivot counts
Trading application:
You'd use this for identifying trend direction and potential reversal zones. Price bouncing off channel boundaries = continuation. Price breaking through = potential trend change or acceleration. The "break detection" highlighting makes it easy to spot when a channel has been invalidated.
The pivot length setting is your main control - higher values find longer-term, more significant channels; lower values catch shorter-term moves.
Key Support and ResistanceKEY SUPPORT AND RESISTANCE - USER GUIDE
========================================
OVERVIEW
This indicator automatically identifies and displays key support and resistance levels based on swing highs and swing lows. It uses pivot point detection to mark significant price levels where the market has previously shown reactions, helping traders identify potential entry/exit points and key decision zones.
KEY FEATURES
• Automatic Level Detection: Identifies swing highs (resistance) and swing lows (support) using pivot point analysis
• Dynamic Line Management: Displays only recent levels within a specified lookback period to keep charts clean
• Auto-Extending Lines: Projects support/resistance levels forward to anticipate future price interactions
• Color-Coded Levels: Red lines for resistance, green lines for support for easy visual identification
========================================
PARAMETERS
========================================
Left Bars (Default: 10)
• Minimum: 5 bars
• Number of bars to the left of the pivot point
• Higher values = more significant levels but fewer signals
• Lower values = more sensitive detection but may include minor swings
Right Bars (Default: 10)
• Minimum: 5 bars
• Number of bars to the right of the pivot point
• Must be confirmed by price action before the level is drawn
• Balances between confirmation delay and signal accuracy
Show Last N Bars (Default: 200)
• Minimum: 10 bars
• Only displays support/resistance levels detected within the most recent N bars
• Keeps your chart clean by removing outdated levels
• Adjust based on your trading timeframe and style
Line Extension Length (Default: 48)
• Minimum: 1 bar
• How many bars forward the support/resistance lines extend
• Helps visualize potential future price interactions
• Longer extensions useful for swing trading, shorter for day trading
========================================
HOW TO USE
========================================
FOR SWING TRADERS
1. Use default settings (10/10) or increase to 15/15 for more significant levels
2. Set "Show Last N Bars" to 300-500 to capture longer-term levels
3. Look for price reactions when approaching these levels
4. Combine with volume analysis for confirmation
FOR DAY TRADERS
1. Consider reducing Left/Right Bars to 7-8 for more frequent signals
2. Set "Show Last N Bars" to 100-150 to focus on recent action
3. Reduce "Line Extension Length" to 20-30 bars
4. Watch for intraday bounces or breakouts at these levels
TRADING STRATEGIES
Bounce Trading (Mean Reversion)
• Enter long when price approaches green support lines
• Enter short when price approaches red resistance lines
• Use stop loss just beyond the support/resistance level
• Best in ranging or consolidating markets
Breakout Trading (Trend Following)
• Wait for price to break through resistance (bullish) or support (bearish)
• Confirm with increased volume
• Previous resistance becomes new support (and vice versa)
• Best in trending markets
Multi-Timeframe Analysis
• Check higher timeframe levels for major support/resistance zones
• Use lower timeframe levels for precise entry/exit timing
• Confluence of multiple timeframe levels creates strong zones
========================================
IMPORTANT NOTES
========================================
Line Confirmation Delay
• Lines appear with a delay equal to "Right Bars" parameter
• This delay ensures the pivot point is confirmed
• Real-time level detection requires price action confirmation
Chart Clarity
• Maximum 500 lines can be displayed (TradingView limitation)
• Adjust "Show Last N Bars" if chart becomes too cluttered
• Old lines automatically delete when outside the lookback period
False Signals
• Not all support/resistance levels will hold
• Use additional confirmation (volume, candlestick patterns, other indicators)
• Markets can break through levels, especially during high-impact news
BEST PRACTICES
1. Combine with Other Analysis: Use alongside trend indicators, volume, and price action patterns
2. Context Matters: Consider overall market trend and structure
3. Risk Management: Always use stop losses; don't rely solely on S/R levels
4. Market Conditions: More effective in liquid, actively traded markets
5. Backtesting: Test settings on your specific instrument and timeframe before live trading
TROUBLESHOOTING
Too Many Lines?
• Increase "Left Bars" and "Right Bars" values
• Decrease "Show Last N Bars" value
Too Few Lines?
• Decrease "Left Bars" and "Right Bars" values
• Increase "Show Last N Bars" value
Lines Not Appearing?
• Ensure sufficient price data is loaded on your chart
• Check that "Right Bars" have passed since the last swing point
• Verify indicator is properly loaded (refresh if needed)
TECHNICAL DETAILS
• Uses ta.pivothigh() and ta.pivotlow() functions for level detection
• Implements array-based line management for efficient rendering
• Automatic cleanup of outdated lines to maintain performance
• Overlay indicator - displays directly on price chart
Disclaimer: This indicator is for educational and informational purposes only. It does not constitute financial advice. Always conduct your own research and risk assessment before making trading decisions.
========================================
中文使用指南
========================================
概述
本指標自動識別並顯示基於波段高點和低點的關鍵支撐阻力位。使用樞軸點檢測標記市場先前反應的重要價格水平，幫助交易者識別潛在的進出場點和關鍵決策區域。
主要功能
• 自動水平檢測：使用樞軸點分析識別波段高點（阻力）和波段低點（支撐）
• 動態線條管理：僅顯示指定回看期內的近期水平，保持圖表清晰
• 自動延伸線條：將支撐阻力水平向前投影，預測未來價格互動
• 顏色編碼：紅線表示阻力，綠線表示支撐，便於視覺識別
========================================
參數說明
========================================
左側K棒數（預設：10）
• 最小值：5根K棒
• 樞軸點左側的K棒數量
• 數值越高 = 水平越重要但訊號越少
• 數值越低 = 檢測更敏感但可能包含次要波動
右側K棒數（預設：10）
• 最小值：5根K棒
• 樞軸點右側的K棒數量
• 必須經過價格行為確認後才繪製水平
• 在確認延遲和訊號準確性之間取得平衡
顯示最近N根K棒內的點（預設：200）
• 最小值：10根K棒
• 僅顯示最近N根K棒內檢測到的支撐阻力水平
• 透過移除過時水平保持圖表清晰
• 根據您的交易時間框架和風格調整
線條延伸長度（預設：48）
• 最小值：1根K棒
• 支撐阻力線向前延伸的K棒數
• 幫助視覺化潛在的未來價格互動
• 較長延伸適合波段交易，較短適合當沖交易
========================================
使用方法
========================================
波段交易者
1. 使用預設設定（10/10）或增加至15/15以獲得更重要的水平
2. 將「顯示最近N根K棒」設為300-500以捕捉長期水平
3. 觀察價格接近這些水平時的反應
4. 結合成交量分析進行確認
當沖交易者
1. 考慮將左右側K棒減少至7-8以獲得更頻繁的訊號
2. 將「顯示最近N根K棒」設為100-150以專注於近期行情
3. 將「線條延伸長度」減少至20-30根K棒
4. 觀察日內在這些水平的反彈或突破
交易策略
反彈交易（均值回歸）
• 當價格接近綠色支撐線時做多
• 當價格接近紅色阻力線時做空
• 在支撐阻力水平之外設置止損
• 在區間或盤整市場中效果最佳
突破交易（趨勢跟隨）
• 等待價格突破阻力（看漲）或支撐（看跌）
• 以增加的成交量確認
• 先前的阻力成為新的支撐（反之亦然）
• 在趨勢市場中效果最佳
多時間框架分析
• 檢查更高時間框架的主要支撐阻力區域
• 使用較低時間框架進行精確的進出場時機
• 多個時間框架水平的匯合創造強大區域
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重要注意事項
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線條確認延遲
• 線條出現時會有等於「右側K棒數」參數的延遲
• 此延遲確保樞軸點被確認
• 實時水平檢測需要價格行為確認
圖表清晰度
• 最多可顯示500條線（TradingView限制）
• 如果圖表變得太雜亂，請調整「顯示最近N根K棒」
• 超出回看期的舊線會自動刪除
假訊號
• 並非所有支撐阻力水平都會守住
• 使用額外確認（成交量、K棒型態、其他指標）
• 市場可能突破水平，特別是在重大新聞期間
最佳實踐
1. 結合其他分析：與趨勢指標、成交量和價格行為型態一起使用
2. 背景很重要：考慮整體市場趨勢和結構
3. 風險管理：始終使用止損；不要僅依賴支撐阻力水平
4. 市場條件：在流動性高、活躍交易的市場中更有效
5. 回測：在實盤交易前，在您的特定商品和時間框架上測試設定
故障排除
線條太多？
• 增加「左側K棒數」和「右側K棒數」數值
• 減少「顯示最近N根K棒」數值
線條太少？
• 減少「左側K棒數」和「右側K棒數」數值
• 增加「顯示最近N根K棒」數值
線條未出現？
• 確保圖表上載入了足夠的價格數據
• 檢查自上次波動點以來是否已過「右側K棒數」
• 驗證指標是否正確載入（如需要請刷新）
技術細節
• 使用 ta.pivothigh() 和 ta.pivotlow() 函數進行水平檢測
• 實施基於陣列的線條管理以實現高效渲染
• 自動清理過時線條以保持性能
• 疊加指標 - 直接顯示在價格圖表上
免責聲明：本指標僅供教育和資訊目的。不構成財務建議。在做出交易決策前，請務必進行自己的研究和風險評估。
Multi-Timeframe QuartilesThis indicator helps you identify the position of price in comparison with distance to key reference levels on multiple timeframes. Statistically, when the price is opening in the lower quartile of a timeframe, there is a higher chance for that previous low to be taken, depending on the market structure already formed
Momentum Permission + Pivot Entry + Exit (v1.4 FULL)//@version=5
indicator("Momentum Permission + Pivot Entry + Exit (v1.4 FULL)", overlay=true)
// ──────────────────────────────────────────────
// Inputs
// ──────────────────────────────────────────────
smaLength = input.int(50, "SMA Length")
relVolThresh = input.float(1.3, "Relative Volume Threshold")
pivotLookback = input.int(3, "Pivot Lookback Bars")
// ──────────────────────────────────────────────
// Core Calculations
// ──────────────────────────────────────────────
sma50 = ta.sma(close, smaLength)
vwap = ta.vwap(close)
relVol = volume / ta.sma(volume, 10)
aboveSMA = close > sma50
aboveVWAP = close > vwap
relStrong = relVol > relVolThresh
greenCandle = close > open
crossUp = ta.crossover(close, sma50)
// ──────────────────────────────────────────────
// One-Time Daily Permission
// ──────────────────────────────────────────────
var bool permission = false
if ta.change(time("D"))
permission := false
permitSignal = crossUp and aboveVWAP and relStrong and not permission
if permitSignal
permission := true
// ──────────────────────────────────────────────
// Entry: Pivot Break Continuation
// ──────────────────────────────────────────────
pivotHighBreak = close > ta.highest(high , pivotLookback)
entrySignal = (
permission and
aboveSMA and
aboveVWAP and
relStrong and
greenCandle and
pivotHighBreak
)
// ──────────────────────────────────────────────
// Exit: Trend Exhaustion / VWAP Breakdown
// ──────────────────────────────────────────────
smaChange = sma50 - sma50
exitSignal = (
permission and
close < vwap and
close < open and
relStrong and
smaChange < 0
)
// ──────────────────────────────────────────────
// VISUAL PLOTS (same as before)
// ──────────────────────────────────────────────
plot(sma50, title="SMA50", color=color.orange, linewidth=2)
plot(vwap, title="VWAP", color=color.new(color.blue, 0), linewidth=2)
plotshape(
permitSignal,
title="Trend Permission",
style=shape.triangleup,
location=location.belowbar,
color=color.new(color.green, 0),
size=size.large,
text="PERMIT"
)
plotshape(
entrySignal,
title="Entry Trigger",
style=shape.triangleup,
location=location.abovebar,
color=color.new(color.aqua, 0),
size=size.normal,
text="ENTRY"
)
plotshape(
exitSignal,
title="Exit Signal",
style=shape.triangledown,
location=location.abovebar,
color=color.new(color.red, 0),
size=size.large,
text="EXIT"
)
// ──────────────────────────────────────────────
// SCREENER OUTPUT (persistent 0/1 for the day)
// ──────────────────────────────────────────────
var bool permitToday = false
var bool entryToday = false
var bool exitToday = false
if ta.change(time("D"))
permitToday := false
entryToday := false
exitToday := false
if permitSignal
permitToday := true
if entrySignal
entryToday := true
if exitSignal
exitToday := true
// Hidden plots for screener columns
plot(permitToday ? 1 : 0, title="PERMIT", display=display.none)
plot(entryToday ? 1 : 0, title="ENTRY", display=display.none)
plot(exitToday ? 1 : 0, title="EXIT", display=display.none)
// Alerts
alertcondition(permitSignal, title="PERMIT", message="Momentum PERMISSION fired")
alertcondition(entrySignal, title="ENTRY", message="Momentum ENTRY fired")
alertcondition(exitSignal, title="EXIT", message="Momentum EXIT fired")
Buy & Sell Arrows - MACD + Best_Solve WPRMACD + Best_Solve Williams %R – Aggressive Trend-Reversal Catcher
(Allow Signals Even in Overbought/Oversold Zones)
This indicator combines the classic MACD histogram with Best_Solve’s popular custom Williams %R (a 0–100 momentum oscillator that behaves more like a fast Stochastic) to deliver clean, high-conviction entry signals on daily (and higher) timeframes.
Core Logic – Only TWO conditions are required
BUY (large green arrow below bar)
MACD histogram is green (bullish momentum)
Williams %R fast line is crossing above OR already above its EMA
SELL (large red arrow above bar)
MACD histogram is red (bearish momentum)
Williams %R fast line is crossing below OR already below its EMA
Unlike most oscillators, this version deliberately removes the traditional “do not buy when overbought / do not sell when oversold” filters. This allows the script to catch powerful trend reversals and explosive moves immediately — even on violent earnings gaps or panic sell-offs (example: META’s -11 % drop on Oct 30 2025 triggered an instant sell even though %R was deeply oversold).
Built-in Clean-Signal Logic
No consecutive buys or sells — each new signal must be preceded by the opposite direction.
This keeps the chart extremely clean and prevents whipsaw clusters during strong trends.
Best Use Cases
Daily and 4H swing trading on stocks, indices, crypto, forex
Excellent for catching sharp reversals after earnings, news events, or overextended moves
Works especially well on high-beta names and growth stocks
Visuals
Large green/red arrows with “BUY” / “SELL” text (your favorite style)
Subtle transparent MACD histogram overlaid on price for instant momentum context
Ready-to-use alerts (“Buy Alert” / “Sell Alert”)
Set it, alert it, trade it — one of the cleanest and most responsive daily reversal systems you’ll find.
Enjoy the edge!
Opening Range with Breakouts & Targets w/ Alerts [LuxAlgo]This is the exact Lux Algo opening range with Breakouts and Targets, but added the ability to fire alerts on buy and sell signals
CIS Swing Trade Zones (All-in-One)It help you to expalin all the high and low and it will also give y0ou the fibo level tat is useful
Self-Organized Criticality - Avalanche DistributionHere's all you need to know: This indicator applies Self-Organized Criticality (SOC) theory to financial markets, measuring the power-law exponent (alpha) of price drawdown distributions. It identifies whether markets are in stable Gaussian regimes or critical states where large cascading moves become more probable.
Self-Organized Criticality
SOC theory, introduced by Per Bak, Tang, and Wiesenfeld (1987), describes how complex systems naturally evolve toward critical (fragile) states. An example is a sand pile: adding grains creates avalanches whose sizes follow a power-law distribution rather than a normal distribution.
Financial markets exhibit similar behavior. Price movements aren't purely random walks—they display:
Fat-tailed distributions (more extreme events than Gaussian models predict)
Scale invariance (no characteristic avalanche size)
Intermittent dynamics (periods of calm punctuated by large cascades)
Power-Law Distributions
When a system is in a critical state, the probability of an avalanche of size s follows:
P(s) ∝ s^(-α)
Where:
α (alpha) is the power-law exponent
Higher α → distribution resembles Gaussian (large events rare)
Lower α → heavy tails dominate (large events common)
This indicator estimates α from the empirical distribution of price drawdowns.
Mathematical Method
1. Avalanche Detection
The indicator identifies local price peaks (highest point in a lookback window), then measures the percentage drawdown to the next trough. A dynamic ATR-based threshold filters out noise—small drops in calm markets count, but the bar rises in volatile periods.
2. Logarithmic Binning
Avalanche sizes are sorted into logarithmically-spaced bins (e.g., 1-2%, 2-4%, 4-8%) rather than linear bins. This captures power-law behavior across multiple scales - a 2% drop and 20% crash both matter. The indicator creates 12 adaptive bins spanning from your smallest to largest observed avalanche.
3. Bin-to-Bin Ratio Estimation
For each pair of adjacent bins, we calculate:
α ≈ log(N₁/N₂) / log(s₂/s₁)
Where N₁ and N₂ are avalanche counts, s₁ and s₂ are bin sizes.
Example: If 2% drops happen 4× more often than 4% drops, then α ≈ log(4)/log(2) ≈ 2.0.
We get 8-11 independent estimates and average them. This is more robust than fitting one line through all points—outliers can't dominate.
4. Rolling Window Analysis
Alpha recalculates using only recent avalanches (default: last 500 bars). Old data drops out as new avalanches occur, so the indicator tracks regime shifts in real-time.
Regime Classification
🟢 Gaussian α ≥ 2.8 Normal distribution behavior; large moves are rare outliers
🟡 Transitional 1.8 ≤ α < 2.8 Moderate fat tails; system approaching criticality
🟠 Critical 1.0 ≤ α < 1.8 Heavy tails; large avalanches increasingly common
🔴 Super-Critical α < 1.0 Extreme tail risk; system prone to cascading failures
What Alpha Tells You
Declining alpha → Market moving toward criticality; tail risk increasing
Rising alpha → Market stabilizing; returns to normal distribution
Persistent low alpha → Sustained fragility; heightened crash probability
Supporting Metrics
Heavy Tail %: Concentration of total drawdown in largest 10% of events
Populated Bins: Data coverage quality (11-12 out of 12 is ideal)
Avalanche Count: Sample size for statistical reliability
Limitations
This is a distributional measure, not a timing indicator. Low alpha indicates increased systemic risk but doesn't predict when a cascade will occur. Only that the probability distribution has shifted toward larger events.
How This Differs from the Per Bak Fragility Index
The SOC Avalanche Distribution calculates the power-law exponent (alpha) directly from price drawdown distributions - a pure mathematical analysis requiring only price data. The Per Bak Fragility Index aggregates external stress indicators (VIX, SKEW, credit spreads, put/call ratios) into a weighted composite score.
Technical Notes
Default settings optimized for daily and weekly timeframes on major indices
Requires minimum 200 bars of history for stable estimates
ATR-based dynamic sizing prevents scale-dependent bias
Alerts available for regime transitions and super-critical entry
References
Bak, P., Tang, C., & Wiesenfeld, K. (1987). Self-organized criticality: An explanation of the 1/f noise. Physical Review Letters.
Sornette, D. (2003). Why Stock Markets Crash: Critical Events in Complex Financial Systems. Princeton University Press.
Smart Money Scanner Suite v6 - OptimizedWHAT IT DOES (longer version in the script):
// Identifies "Smart Money Stepping Back" (SMSB) zones where institutions quietly
// build positions without moving the market. Signals appear when ALL 4 conditions align:
//
// 1. OBV DIVERGENCE → Price up/OBV down (distribution) or Price down/OBV up (accumulation)
// 2. LOW VOLUME → Below 1.5x average (stealth activity)
// 3. NEAR VWAP → Within 0.5% (institutional fair value)
// 4. HTF CONFIRMATION → Higher timeframe shows directional momentum
Multi-Pivot Plotter//================================================================================
//📌 Manual Pivot Plotter (4 Sets: P, R1–R3, S1–S3)
// - Up to 4 indices
// - Each index: Name + P/S/R values
// - One shared Style block: colors, visibility, line width (applies to all indices)
// - Lines start at 00:00 UTC+8 and extend a few bars
// - Labels at line end or start, with optional "Index Name" and price value
//================================================================================
Accumulation and Distribution Divergence with SignalsUse this indicator on the 1 minute chart for small cap stocks with news. They must be one of the leading gappers in the entire market for this to work best.
MAMA - FAMA (Ehlers) [KN]MAMA - FAMA (Ehlers)
Surprisingly, I couldn't find a proper Pine Script implementation of this classic indicator on TradingView, so here's my version.
This indicator implements John Ehlers' MESA Adaptive Moving Average (MAMA) and Following Adaptive Moving Average (FAMA) from his book "Rocket Science for Traders."
How It Works
Unlike traditional moving averages with fixed periods, MAMA adapts its smoothing based on the market's dominant cycle. It uses the Hilbert Transform to measure the instantaneous phase of price, then adjusts its responsiveness according to how fast that phase is changing.
When price is trending strongly (rapid phase change), MAMA speeds up to follow closely. During consolidation (slow phase change), it slows down to filter noise. FAMA is a further smoothed version of MAMA that serves as a signal line.
Signals
🔵 Bullish : MAMA crosses above FAMA
🟠 Bearish : MAMA crosses below FAMA
The adaptive nature makes this particularly effective at avoiding whipsaws during ranging markets while still catching trends early.
Inputs
- Fast Limit (default 0.5): Maximum alpha, controls fastest response
- Slow Limit (default 0.05): Minimum alpha, controls slowest response
- Source (default hl2): Price input
Credits
Original concept by John F. Ehlers.
