Moving Average Divergence BandsMoving Average Divergence Bands
Moving Average Divergence Bands (MADB) is a trend-following overlay indicator designed to capture fast-moving trends while filtering out low-quality signals. It was developed with highly volatile markets in mind, particularly altcoins, where rapid entries are important but false breakouts are common.
The indicator builds adaptive price bands using two moving averages of different speeds and applies a statistical filter to allow signals only when market conditions show sufficient momentum. The result is a structure that attempts to combine fast reaction with controlled signal quality.
🚀 Core Idea
The objective of MADB is to create bands that respond quickly to market moves while avoiding entries during low-probability conditions.
This is achieved by combining fast and slower moving averages and activating signals only when price movement shows statistically meaningful deviation from its recent norm. In this way, entries tend to occur during periods with higher potential reward and reduced noise.
🔍 How It Works
The indicator calculates two moving averages:
• A primary moving average using the chosen length
• A secondary moving average using half of that length
Both averages are mathematically combined using exponent-based transformations, producing two divergence-based values. The higher value becomes the upper band, and the lower value becomes the lower band.
To filter signals, the script then computes a Z-score of price relative to its recent average. A trend switch occurs only when:
• Price breaks above or below the adaptive band, and
• The absolute Z-score exceeds the user-defined threshold.
This ensures signals occur only when price movement is statistically significant, reducing entries during low-volatility noise.
⚙️ Key Features
• Fast trend-following bands optimized for volatile markets
• Dual moving-average divergence construction
• Z-score filtering to reduce false signals
• Multiple moving-average types supported
• Adjustable statistical sensitivity
• Visual band and trend coloring styles
🧩 Inputs Overview
• Moving-average length and source
• Moving-average type selection
• Z-score calculation length
• Z-score activation threshold
• Visual style presets for band coloring
📌 Usage Notes
• Designed to identify strong market moves while filtering weak breakouts.
• Particularly suited for volatile markets and altcoin trading environments.
• Band breaks without sufficient Z-score strength will not trigger signals.
• Signals may change intrabar on lower timeframes.
• Best used alongside risk management and confirmation tools.
• No indicator eliminates risk; testing and validation are always recommended.
This script is intended for analytical use only and does not constitute financial advice.
Indicators and strategies
Multiple Factor Adaptive MA SuperTrendMultiple Factor Adaptive MA SuperTrend
Multiple Factor Adaptive MA SuperTrend is an enhanced trend-following overlay that builds on the classical SuperTrend concept by introducing an adaptive moving-average base. The indicator dynamically adjusts to changing market conditions to produce smoother and faster trend signals, helping traders better track directional moves while reducing unnecessary noise.
Instead of relying on a fixed moving-average base, the indicator updates its baseline only when market conditions justify it. This creates a stabilizing effect during consolidation while allowing quicker reactions when volatility, momentum, or activity increases.
🔍 How It Works
The indicator combines:
• A user-selectable Moving Average as the core trend base
• ATR-based volatility bands to detect trend transitions
• An adaptive filter that determines when the base should update
The adaptive mechanism evaluates market conditions using one of several selectable drivers:
• ATR expansion (volatility increase)
• Rate-of-change acceleration
• Rising trading volume
• Increasing divergence between price and the moving average
If the chosen condition signals increased activity or market change, the moving-average base updates normally. Otherwise, the previous base value is retained, effectively smoothing the trend structure and filtering minor fluctuations.
Volatility bands are then calculated around this adaptive base using ATR multiplied by a configurable factor. Trend changes occur when price crosses these bands.
When price breaks above the upper band, a bullish trend is activated and the lower band becomes the trailing support. When price breaks below the lower band, a bearish trend is activated and the upper band acts as trailing resistance.
⚙️ Key Features
• Adaptive moving-average baseline
• Multiple MA types including SMA, EMA, WMA, HMA, VWMA, DEMA, TEMA, and EWMA
• ATR-based volatility bands
• Multiple adaptation modes (volatility, momentum, volume, divergence)
• Reduced noise during consolidation phases
• Smooth trend visualization and transition markers
🧩 Inputs Overview
• Moving-average type and length
• Price source selection
• ATR length and multiplier
• Adaptive filter method selection
📌 Usage Notes
• Useful for identifying prevailing market direction and trend shifts.
• Adaptive filtering can help reduce false signals during sideways markets.
• Signals may update intrabar on lower timeframes.
• Best results are achieved when combined with confirmation tools or risk management rules.
• This script is intended for analytical purposes and does not provide financial advice.
Stop Getting Whipsawed. Meet Fimathe Elite V40 (State Machine LoThe trader's biggest enemy isn't the market—it's indecision and market noise. "Should I enter now?", "The price pulled back, should I exit or hold?".
To solve this, I developed Fimathe Elite V40. This is not just a simple indicator; it is a complete Trade Management System based on the renowned Fimathe technique (Reference Channels & Neutral Zones), but armored with institutional-grade algorithms to filter out fake signals.
💡 WHY IS THIS SCRIPT DIFFERENT?
Most indicators repaint or spam "Sell" signals the moment a candle turns red, even during a healthy bullish pullback. Fimathe Elite V40 solves this using a sophisticated State Machine Engine.
1. The "State Machine" Technology (No Noise): The script has "memory". It knows if you are already positioned.
Silence: If you are in a trade, it ignores minor fluctuations. It will NOT spam new signals during a consolidation.
Action: It only alerts you in two specific scenarios: Profit Expansion (Level Breakout) or True Reversal (Close against the Stop Loss).
2. Smart Trend Detection (Linear Regression): Instead of guessing the trend, the script calculates the mathematical slope of the last X bars using Linear Regression.
If the slope is positive = It creates Bullish Channels (Reference Channel on Top).
If the slope is negative = It creates Bearish Channels (Reference Channel on Bottom). This prevents you from trading against the mathematical flow of the market.
3. Visual Trade Management:
Active Stop Loss (Orange Line): A visual floor/ceiling that trails the price. If the price does not close beyond this line, you stay in the trade, ignoring emotional wicks.
Active Target (Green Line): Shows exactly where the next expansion level is.
Full Grid: Automatically projects Level 1, 2, and 3 for roadmap planning.
🚀 HOW TO TRADE:
Wait for the Map: Let the script draw the CR (Reference Channel) and NZ (Neutral Zone) automatically (it skips the volatile opening minutes).
The Signal: Wait for the "BUY (Breakout)" or "SELL (Breakout)" label. This signal appears on the close of the breakout candle.
The Entry: Enter on the violation of that candle's high/low.
The Ride: Follow the Orange Line. As the price conquers new levels, the Stop Loss automatically moves up (Trailing Stop) to lock in profits.
🛡️ Risk Management: This tool is designed to force discipline. It visually shows you that a pullback is not a reversal, keeping you in the trend longer and getting you out immediately when the structure actually breaks.
Adaptive For LoopAdaptive For Loop (AFL | MisinkoMaster)
The Adaptive For Loop is an innovative trend-following indicator designed to deliver fast and reliable signals while minimizing false positives. By dynamically assessing the relationship between current and historical price data across multiple price components—open, high, low, and close—this tool filters out noise and highlights the strongest trend signals.
Unlike traditional indicators that rely on a single price input, Adaptive For Loop harnesses the combined strength of multiple price points, intelligently selecting the most relevant signal to adapt to changing market conditions. This approach helps traders identify genuine trend momentum with clarity and speed.
🔍 Concept & Idea
The idea behind Adaptive For Loop is to improve trend detection by simultaneously evaluating multiple price sources instead of just one. Each price component (open, high, low, close) undergoes a scoring process comparing the current price to a series of historical prices within a user-defined lookback range.
Since different price points may exhibit varying degrees of noise or trend clarity at different times, the indicator selects the source with the strongest directional signal based on absolute scoring. This adaptive selection reduces noise and enhances signal reliability while maintaining fast responsiveness.
⚙️ How It Works
The indicator performs a looped comparison for each price series (open, high, low, close) over a range specified by the user (from start to end bars ago).
For each bar in the range, it increments or decrements a score depending on whether the current price is higher or lower than the compared historical price.
After scoring all four price sources, the indicator selects the score with the greatest absolute value to represent the dominant market momentum.
This dominant score is then evaluated against user-defined upper and lower thresholds to determine the market trend state:
Above the upper threshold: bullish/uptrend signal
Below the lower threshold: bearish/downtrend signal
Between thresholds: neutral/no clear trend
The indicator plots the score, thresholds, and highlights the trend visually, including colored candlesticks representing the detected trend.
🧩 Inputs Overview
From (start) – Defines the start bar offset for the lookback range in the for loop (default 0).
To (end) – Defines the end bar offset for the lookback range in the for loop (default 45).
Upper Threshold – Score level above which an uptrend signal is triggered (default 39).
Lower Threshold – Score level below which a downtrend signal is triggered (default -12).
📌 Usage Notes
Adaptive Selection: The indicator adapts by selecting the price source with the strongest trend signal, reducing false signals caused by noisy individual price inputs.
Speed and Noise: Designed for fast execution and minimal noise, making it especially useful in volatile markets such as BTCUSD.
Visual Clarity: Colored candlesticks and score plots help traders quickly identify trend direction and strength.
Customization: Users can adjust the lookback range and thresholds to fit different assets and timeframes.
Complementary Tool: Best used alongside other confirmation indicators and sound risk management practices.
Backtesting Recommended: Always backtest and validate settings on historical data to optimize performance for your specific market.
⚠️ Disclaimer
This indicator is provided for educational and analytical purposes only and does not constitute financial advice. Trading involves significant risk, and users should perform their own due diligence before making any investment decisions.
Enjoy trading with Adaptive For Loop!
Trendlines [KTY] Trendlines
Hi, I'm Kim Thank You 👋
KTY = Kim Thank You (김땡큐)
Automatically draws trendlines by connecting Higher Lows (uptrend) and Lower Highs (downtrend) pivots.
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📊 FEATURES
- Auto-Detection
- Connects rising lows for bullish trendlines (green)
- Connects falling highs for bearish trendlines (red)
- Visual Extension
- Solid line: confirmed trendline
- Dotted line: projected extension
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✅ HOW TO USE
- Bullish trendline support → Higher chance of upward move
- Bearish trendline resistance → Higher chance of downward move
- Trendline break → Check for potential trend reversal
- Multiple trendlines at same level → Stronger zone
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💡 TIPS
- Higher timeframe trendlines are more reliable
- Watch for confluence with S/R levels
- Volume spike on break increases validity
- Use with other indicators for confirmation
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⚠️ DISCLAIMER
This indicator is for educational purposes only.
Not financial advice. Always do your own research.
TPC-Buying and Selling areasTPC - Buying and Selling Areas
Open-source multi-timeframe indicator that automatically detects and displays Supply (resistance) and Demand (support) zones based on swing structure, along with Fair Value Gaps (FVGs) for imbalance visualization. Supports up to two higher timeframes (MTF) for Supply/Demand + optional current-chart or custom timeframe FVGs, with mitigation tracking, alerts, and a dashboard for FVG stats.
Overview
This tool helps identify key price areas where institutional buying/selling pressure may have accumulated (Supply/Demand zones) and inefficiencies/imbalances in price delivery (Fair Value Gaps).
It plots:
•Demand zones (potential support/buy areas) in green tones
•Supply zones (potential resistance/sell areas) in red tones
•Bullish/Bearish FVGs as filled or line areas (with dynamic or fixed extension options)
•A simple FVG dashboard showing count and mitigation percentage
Zones mitigate (disappear or mark as filled) when price closes/wicks through them. Designed for clean charts with configurable visibility, box pooling, and alerts on new zones or FVG events.
How It Works (Conceptual)
•Supply & Demand Zones
•Uses pivot-based swing highs/lows from one or two user-selectable higher timeframes (or chart timeframe).
•Detects structure breaks (e.g., higher highs/lows, lower highs/lows) near recent ATR range to form zones.
•Zones drawn as extendable boxes with timeframe label, customizable borders/text.
•Mitigation: Zones removed or marked when price breaches them (close or extreme/wick, configurable globally or per TF).
•Only shows recent zones (user-defined "show last N") and cleans up on lower timeframes if desired.
•Fair Value Gaps (FVGs)
•Detects 3-candle imbalances where price gaps aggressively (low > high for bullish, high < low for bearish, with optional size threshold).
•Plots as semi-transparent boxes (fixed extend) or dynamic fills that adjust with price.
•Tracks mitigation (when price fills the gap) and optionally draws dashed mitigation lines.
•Shows unmitigated recent FVGs as lines + dashboard stats (total count, % mitigated for bull/bear).
•Multi-timeframe logic uses request.security() for higher TFs, with careful handling for display on lower charts.
See the code for full pivot detection, array management, mitigation loops, and FVG conditions.
How to Use
•Best on volatile/liquid markets (crypto, forex, indices, futures) across intraday to daily timeframes.
•Use Demand zones (green) as potential long entries or support flips when price approaches from above.
•Use Supply zones (red) as potential short entries or resistance when price approaches from below.
•FVGs highlight inefficiencies: bullish FVGs often act as magnets/pullbacks in uptrends; bearish in downtrends.
•Combine with higher-timeframe bias (e.g., show HTF zones on LTF chart) for confluence.
•Alerts fire on: new demand/supply zone, new bullish/bearish FVG, or FVG mitigation.
•Keep "Show only on lower timeframes" enabled to avoid clutter on HTF charts.
•Adjust "Box Size" (pool) if you hit max_boxes limit on very long histories.
Settings
General Settings
•Hide all Demand / Supply zones
•Show S&D only on lower TFs
•S&D Box Size (pool limit, default 80)
•Mitigate on Close or Wick/Extreme
Timeframe 1 & Timeframe 2 (identical groups)
•Set to chart timeframe (or custom)
•Show Demand/Supply
•Alerts for new zones
•Timeframe multiplier + period (Min/Hour/Day/Week/Month)
•Swing Length for pivots
•Border type/width, text size/color
•Demand/Supply colors
•Show last N zones per type
FVG Settings
•Threshold % (min gap size) or Auto
•Unmitigated levels to show
•Mitigation levels (dashed lines)
•FVG Timeframe (blank = chart)
FVG Style
•Extend bars
•Dynamic fill (adjusts with price)
•Bullish/Bearish colors
FVG Dashboard
•Show dashboard
•Location (Top Right etc.)
•Text size
Notes / Limitations
•Non-repainting after bar close (uses confirmed pivots/security data).
•Heavy on boxes/lines — increase pool size carefully (TradingView limits apply).
•FVGs can fill quickly in ranging markets; use with structure/context.
•Always backtest and combine with your analysis — not financial advice, trading carries risk.
•Open-source: feel free to fork, improve, or learn from it.
FOCUS all in one (N-TABLOUH)It took me hours and hours to build this indicator
so it shows the important stuff we need to watch as traders! Here you see a price label with a countdown,
how much the asset has retraced from its high or low,
and the total session range.
You also get 4h separators to show the move, keeping you aware of the 4/8 or 12h window. Plus, there is a table showing the assets you want to trade so we don't have to go flip charts and waste time
Ker 2021 EMA/SMA這個腳本主要是EMA/SMA的基礎
加上可調動範圍
數字可以調動
但是因為我不是coding人員
所以有些欄位編排不正確
但是使用上沒有什麼問題
如果你有coding的能力
可以聯絡我 幫我補正 謝謝
This script is mainly based on EMA/SMA, with adjustable ranges and parameters.
The values can be modified freely.
Since I’m not a programmer, some of the field formatting may not be perfectly structured.
However, it works fine in actual use.
If you have coding experience and would like to help improve or clean up the code, feel free to contact me. Thank you.
Adaptive MA SuperTrendAdaptive MA SuperTrend
Adaptive MA SuperTrend is a trend-following overlay indicator designed to deliver smoother and more responsive signals than the classical SuperTrend by dynamically combining two moving averages with volatility-based band calculations.
Instead of relying on a single average, the script calculates a selectable pair of moving averages and continuously assigns them as the upper or lower base depending on which value is greater at each bar. This adaptive swapping allows the structure to respond better to changing market conditions while preserving overall trend stability.
A volatility component is then added to the bases using either:
• Average True Range (ATR)
• Standard Deviation (SD)
The selected volatility measure is multiplied by a configurable factor to create adaptive bands around the moving-average bases. Price crossing these bands determines trend direction changes.
When price crosses above the upper band, the trend switches bullish and the lower band becomes the trailing support line. When price crosses below the lower band, the trend switches bearish and the upper band becomes the trailing resistance line. Only the active trend side is plotted to reduce visual noise and improve chart clarity.
Multiple moving-average pair options are provided, allowing users to choose combinations that match their preferred balance between smoothness and responsiveness, including SMA, EMA, WMA, HMA, VWMA, DEMA, TEMA, and ALMA-based combinations. Additional parameters are available when ALMA is selected.
⚙️ Key Features
• Adaptive swapping between two moving averages
• Choice of MA pairs with different responsiveness profiles
• ATR or Standard Deviation volatility bands
• Configurable volatility length and multiplier
• Optional ALMA tuning parameters
• Trend visualization with color-coded support/resistance lines
• Signal markers displayed on trend transitions
🧩 Inputs Overview
• Moving average pair selection
• Moving average length and price source
• Volatility method, length, and multiplier
• Optional ALMA offset and sigma parameters
📌 Usage Notes
• Designed to help visualize prevailing trend direction and potential trend shifts.
• Can be combined with confirmation tools or risk management rules within broader strategies.
• Signals are generated when price crosses volatility-adjusted moving-average bands; signals may update intrabar, especially on lower timeframes.
• This script is intended for analytical purposes and does not constitute financial advice. Users should test and validate performance within their own workflow before applying it to live trading.
Adaptive MTF EMA (auto TF)Adaptive MTF EMA (Auto TF) — Mid & Slow EMA that adjusts with chart timeframe
by @theadventuredan
This indicator plots two Higher-Timeframe EMAs (a Mid and a Slow EMA) on your current chart — but unlike normal MTF EMA scripts, the higher timeframes adapt automatically when you change the chart timeframe.
Instead of having to reconfigure TFs every time you switch from 5m to 15m to 1h, the indicator keeps the same “relationship” by using timeframe multipliers:
Mid TF = current chart TF × Mid Multiplier
Slow TF = current chart TF × Slow Multiplier
Example (default multipliers: 3× and 12×):
On 5m: Mid = 15m, Slow = 60m
On 15m: Mid = 45m, Slow = 180m (3h)
On 1h: Mid = 3h, Slow = 12h
This is especially useful if you use MTF EMA alignment as a trend filter (e.g., Mid EMA above Slow EMA = bullish bias).
How it works
The script reads your current chart timeframe using timeframe.in_seconds(timeframe.period) and converts it into minutes.
It calculates the adaptive MTF targets:
midMin = curMin × midMult
slowMin = curMin × slowMult
It requests the EMA from those higher timeframes via request.security() and plots them on your chart.
Optional:
A label can display the currently calculated Mid and Slow TFs (in minutes).
Inputs
EMA Length: EMA period (default 50)
Mid TF Multiplier: how many times higher the mid timeframe should be (default 3)
Slow TF Multiplier: how many times higher the slow timeframe should be (default 12)
Use confirmed HTF values (safer):
When enabled, the script uses the previous HTF EMA value (EMA ) to reduce behavior caused by partially formed higher-timeframe candles.
This may lag slightly but is often preferred for signal consistency.
Show TF label: shows a label with the current adaptive TFs
Notes / Limitations
Because the higher timeframe is derived by multiplication, some results may produce less common timeframes (e.g., 45m or 12h). This is expected.
MTF values depend on request.security() and will always reflect higher-timeframe candle logic (especially during an unclosed HTF candle). If you want less “in-progress candle” behavior, enable Use confirmed HTF values.
This is an EMA overlay tool — not a standalone buy/sell system.
Suggested usage
Trend bias filter: Mid EMA > Slow EMA = bullish bias, Mid < Slow = bearish bias
Entry alignment: use the adaptive EMAs as “context” while trading lower TF setups
Dynamic market structure: switch timeframes while keeping consistent “one step higher / two steps higher” EMA reference
ICT Macros & Visual Risk CalculatorThis "all-in-one" indicator is specifically designed for ICT (Inner Circle Trader) methodology practitioners who trade high-volatility time windows (Macros). It combines automated visual identification of these sessions with an advanced risk calculator that dynamically draws position blocks (Long/Short) based on pips, ensuring fast and precise execution.
Pattern Atlas Smart Panel Alerts Toni Ventura MaltaThe Pattern Atlas in 1 Indicator
Not fool proof but helps understanding what the discord traders are talking about ;)
The Rumers Box Strategy+ v1.5.0The Rumers Box Strategy - Visual Trading Setup Analyzer
This indicator implements Doug Rumers' Box Strategy methodology for identifying high-probability trading setups based on historical price ranges and opening candle analysis.
Key Features:
Customizable Box Construction - Define a "Box Date" to establish the high/low range that forms your trading framework
8:45 Candle Analysis - Automatically identifies and validates the opening candle on your specified "Analysis Date"
20% Rule Validation - Visual confirmation when the 8:45 candle range meets the 20% threshold of the box range
Entry Zone Highlighting - Clear visual marking of the top 20% (short zone) and bottom 20% (long zone) of the box
50% Midpoint Reference - Yellow midline for price action analysis
Multi-Timezone Support - Works with 12 major timezones including US, European, Asian, and Pacific markets
Comprehensive Info Panel - Real-time display of all key metrics including box range, thresholds, and setup validity
Historical Analysis - Time-based positioning allows analysis of any historical date without bar index limitations
How to Use:
Select your timezone
Choose the Box Date (the date that establishes your high/low range)
Choose the Analysis Date (the date to check the 8:45 candle)
The indicator will display a ✓ or ✗ showing whether the setup meets the 20% rule
Trade within the highlighted entry zones when valid setups appear
Perfect for: Day traders and swing traders using systematic, rule-based entry strategies on NAS100, ES, and other index futures.
Price Levels Wall//@version=6
indicator("Price Levels From File", overlay = true)
// === Public parameters ===
string fileContent = input.text_area("Contenu du fichier", "Collez le contenu de Niveaux.txt ici")
color minColor = input.color(color.new(color.green, 0), "Couleur Min", group = "Couleurs")
color maxColor = input.color(color.new(color.red, 0), "Couleur Max", group = "Couleurs")
color acheteursColor = input.color(color.new(color.lime, 0), "Couleur Acheteurs", group = "Couleurs")
color vendeursColor = input.color(color.new(color.orange, 0), "Couleur Vendeurs", group = "Couleurs")
color wallUpperColor = input.color(color.new(color.fuchsia, 0), "Couleur Wall Upper", group = "Couleurs")
color wallMidColor = input.color(color.new(color.gray, 0), "Couleur Wall Mid", group = "Couleurs")
color controlMidColor = input.color(color.new(color.green, 0), "Couleur Control Mid", group = "Couleurs")
color wallLowerColor = input.color(color.new(color.aqua, 0), "Couleur Wall Lower", group = "Couleurs")
color highlightColor = input.color(color.new(#FFFF00, 88), "Couleur Highlight", group = "Couleurs")
int lineWidth = input.int(2, "Épaisseur ligne", group = "Apparence")
bool enableMinMinEventHighlight = input.bool(true, "Highlight Min–Min Event", group = "Options")
bool enableMaxMaxEventHighlight = input.bool(true, "Highlight Max–Max Event", group = "Options")
// === Private fields ===
var array prices = array.new()
var array labels = array.new()
var array colors = array.new()
var float minOneDayLevel = na
var float maxOneDayLevel = na
var float minEventLevel = na
var float maxEventLevel = na
var bool initialized = false
// === Helper functions ===
tryParse(string s) =>
string s_replaced = str.replace_all(s, ",", ".")
float val = str.tonumber(s_replaced)
na(val) ? na : val
trim(string s) =>
string res = s
while str.length(res) > 0 and (str.substring(res, 0, 1) == " " or str.substring(res, 0, 1) == "\t")
res := str.substring(res, 1)
while str.length(res) > 0 and (str.substring(res, str.length(res) - 1) == " " or str.substring(res, str.length(res) - 1) == "\t")
res := str.substring(res, 0, str.length(res) - 1)
res
extractValue(string line) =>
int colonIdx = str.pos(line, ":")
if colonIdx == -1
na
else
string valueStr = str.substring(line, colonIdx + 1)
valueStr := trim(valueStr)
tryParse(valueStr)
// === Parsing ===
if not initialized and barstate.islast
initialized := true
array rawLines = str.split(fileContent, " ")
for i = 0 to array.size(rawLines) - 1
string raw = array.get(rawLines, i)
string line = trim(raw)
if line == ""
continue
string lower = str.lower(line)
// Extract levels based on keywords
if str.contains(lower, "max event")
maxEventLevel := extractValue(line)
else if str.contains(lower, "max 1d")
maxOneDayLevel := extractValue(line)
else if str.contains(lower, "wall upper")
float val = extractValue(line)
if not na(val)
array.push(prices, val)
array.push(labels, "Wall Upper")
array.push(colors, wallUpperColor)
else if str.contains(lower, "buyers ctrl")
float val = extractValue(line)
if not na(val)
array.push(prices, val)
array.push(labels, "Buyers Ctrl")
array.push(colors, acheteursColor)
else if str.contains(lower, "wall mid")
float val = extractValue(line)
if not na(val)
array.push(prices, val)
array.push(labels, "Wall Mid")
array.push(colors, wallMidColor)
else if str.contains(lower, "control mid")
float val = extractValue(line)
if not na(val)
array.push(prices, val)
array.push(labels, "Control Mid")
array.push(colors, controlMidColor)
else if str.contains(lower, "sellers ctrl")
float val = extractValue(line)
if not na(val)
array.push(prices, val)
array.push(labels, "Sellers Ctrl")
array.push(colors, vendeursColor)
else if str.contains(lower, "wall lower")
float val = extractValue(line)
if not na(val)
array.push(prices, val)
array.push(labels, "Wall Lower")
array.push(colors, wallLowerColor)
else if str.contains(lower, "min 1d")
minOneDayLevel := extractValue(line)
else if str.contains(lower, "min event")
minEventLevel := extractValue(line)
// Add special levels
if not na(maxOneDayLevel)
array.push(prices, maxOneDayLevel)
array.push(labels, "Max 1D")
array.push(colors, maxColor)
if not na(maxEventLevel)
array.push(prices, maxEventLevel)
array.push(labels, "Max Event")
array.push(colors, maxColor)
if not na(minOneDayLevel)
array.push(prices, minOneDayLevel)
array.push(labels, "Min 1D")
array.push(colors, minColor)
if not na(minEventLevel)
array.push(prices, minEventLevel)
array.push(labels, "Min Event")
array.push(colors, minColor)
// === Rendering ===
var box minBand = na
var box maxBand = na
if barstate.islast and initialized
if enableMinMinEventHighlight and not na(minOneDayLevel) and not na(minEventLevel) and na(minBand)
float top = math.max(minOneDayLevel, minEventLevel)
float bottom = math.min(minOneDayLevel, minEventLevel)
minBand := box.new(left = bar_index, top = top, right = bar_index + 1, bottom = bottom, xloc = xloc.bar_index, extend = extend.both, bgcolor = highlightColor, border_width = 0)
if enableMaxMaxEventHighlight and not na(maxOneDayLevel) and not na(maxEventLevel) and na(maxBand)
float top = math.max(maxOneDayLevel, maxEventLevel)
float bottom = math.min(maxOneDayLevel, maxEventLevel)
maxBand := box.new(left = bar_index, top = top, right = bar_index + 1, bottom = bottom, xloc = xloc.bar_index, extend = extend.both, bgcolor = highlightColor, border_width = 0)
var array hlines = array.new()
var array rightLabels = array.new()
if barstate.islast and initialized and array.size(hlines) == 0
for i = 0 to array.size(prices) - 1
float p = array.get(prices, i)
string lbl = array.get(labels, i)
color col = array.get(colors, i)
line hl = line.new(bar_index, p, bar_index + 1, p, xloc = xloc.bar_index, extend = extend.both, color = col, width = lineWidth)
array.push(hlines, hl)
string labelText = lbl + " " + str.tostring(p)
label rightLbl = label.new(bar_index + 1, p, labelText, xloc = xloc.bar_index, yloc = yloc.price, style = label.style_label_right, color = na, textcolor = col, size = size.small)
array.push(rightLabels, rightLbl)
if barstate.islast
for i = 0 to array.size(rightLabels) - 1
label.set_x(array.get(rightLabels, i), bar_index + 1)
MAs+Engulfing O caminho das Criptos
This indicator overlays multiple moving averages (EMAs 12/20/50/100/200 and SMA 200) and highlights bullish/bearish engulfing candles by dynamically coloring the candle body. The EMA 12 (gray) provides short-term momentum insight, helping refine entry timing and micro pullbacks.
When a bullish engulfing is detected, the candle appears as a strong dark green; for bearish engulfing, a vivid red. Normal candles retain classic lime/red colors. Visual alerts and bar coloring make price-action patterns instantly visible.
Includes built-in alert conditions for both patterns, supporting both trading automation and education. The tool upgrades trend-following setups by combining macro structure (longer EMAs) with micro momentum (EMA 12) and automatic price-action insights.
Asset Liquidity Meter by Funded RelayAsset Liquidity Meter by Funded Relay
This indicator estimates the liquidity of any asset by calculating the volume traded per unit of price movement (volume / (high - low)).
Higher values generally indicate better liquidity (more volume in a smaller price range → easier to enter/exit positions with less slippage).
Lower values suggest thinner liquidity (higher risk of price impact and volatility).
The indicator displays:
• Histogram: raw liquidity per bar (green = above SMA, red = below SMA)
• SMA line: smoothed liquidity trend
• Real-time info table in the top-right corner
• Built-in alert conditions
How to Use – Step by Step
1. Adding the Indicator
- Open any chart on TradingView
- Click the "Indicators" button at the top
- Search for "Asset Liquidity Meter v6" (or find it in Community Scripts / My Scripts)
- Click to add it to the chart
- It will appear in a separate pane below the price chart
2. Customizing Settings
Double-click the indicator name in the pane (or right-click → Settings):
• SMA Length (default: 14)
- Controls the smoothing period of the liquidity trend line
- Smaller values (5–10) → more responsive, good for intraday/scalping
- Larger values (20–50) → smoother trend, better for swing/position trading
• Epsilon (default: 0.00000001)
- Tiny value that prevents division-by-zero errors on flat bars (high = low)
- Almost never needs to be changed
• Colors
- High Liquidity Color: histogram bars when liquidity > SMA
- Low Liquidity Color: histogram bars when liquidity < SMA
- SMA Line Color: color of the smoothed trend line
• Show Alert Conditions in Menu
- Keep enabled (true) to see the built-in alert options when creating alerts
3. Reading & Interpreting the Indicator
• Histogram Bars (Raw Liquidity)
- Height = amount of volume per unit of price range
- Tall bars = high liquidity (market is "thick")
- Short bars = low liquidity (market is "thin")
- Green = current liquidity is stronger than the average (SMA)
- Red = current liquidity is weaker than the average
• Blue SMA Line
- Shows the average liquidity over the selected period
- Rising line → liquidity improving (more participants, easier trading)
- Falling line → liquidity decreasing (thinner market, caution advised)
• Info Table (top-right corner)
- Displays current raw liquidity, SMA value, and status ("High Liquidity" / "Low Liquidity")
- Updates in real-time on the last bar
• Zero Line (dotted gray)
- Visual reference — everything above zero is positive liquidity
4. Practical Trading Applications
• High Liquidity Zones (green bars + rising SMA)
- Favorable conditions for entering or scaling into positions
- Lower expected slippage
- Better for large orders
• Low Liquidity Zones (red bars + falling SMA)
- Higher risk of slippage and exaggerated price moves
- Consider smaller position sizes or waiting for better conditions
- Common during session opens/closes, holidays, or low-volume periods
• Crossovers
- Liquidity crossing above SMA → potential increase in market participation
- Liquidity crossing below SMA → potential drying up of interest
5. Setting Up Alerts
1. Right-click on the chart → "Add Alert"
2. In "Condition", select "Asset Liquidity Meter v6"
3. Choose one of the available alert conditions:
- Liquidity ↑ Crosses Above SMA
- Liquidity ↓ Crosses Below SMA
- Very High Liquidity (2× SMA)
- Very Low Liquidity (<30% SMA)
4. Set frequency (Once Per Bar Close is usually best)
5. Configure notification (email, popup, sound, webhook, etc.)
6. Create the alert
6. Tips for Best Results
• Works on all markets: stocks, forex, crypto, futures, indices
• Best on timeframes with meaningful volume data (5 min and higher usually give clearest signals)
• Compare liquidity across different assets or timeframes using multiple charts
• Combine with support/resistance, volume profile or order flow tools for confirmation
• Not a standalone signal — use in context with your overall strategy
Limitations & Notes
• This is an estimation based on OHLCV data — it does not show real order book depth
• Results vary significantly between centralized exchanges, brokers and instruments
• Zero-volume bars will show zero liquidity (expected behavior)
Enjoy safer and more informed trading!
Questions or suggestions? Feel free to comment below.
Mein Skript//@version=5
indicator("FU Only", overlay=true)
bullishFU = low < low and close > high
bearishFU = high > high and close < low
plotshape(bullishFU, style=shape.labelup, location=location.belowbar, text="FU", textcolor=color.white, color=color.new(color.black, 0), size=size.tiny)
plotshape(bearishFU, style=shape.labeldown, location=location.abovebar, text="FU", textcolor=color.white, color=color.new(color.black, 0), size=size.tiny)
Threshold AO VisualisationThe channel is a set of classic indicators with the ability to be customized, allowing for comprehensive market analysis and the ability to find entry points.
Luminous Trend Wave [Pineify]```
Luminous Trend Wave - Hull MA Based Normalized Momentum Oscillator
The Luminous Trend Wave (Pineify) is a momentum oscillator designed to provide clear, responsive trend signals while minimizing the lag commonly associated with traditional momentum indicators. By combining Hull Moving Average (HMA) calculations with ATR-based normalization and hyperbolic tangent transformation, LTW delivers a bounded oscillator that works consistently across different assets and timeframes.
Key Features
Hull Moving Average foundation for reduced lag trend detection
ATR normalization for universal applicability across all markets
Bounded output range (-100 to +100) using mathematical tanh transformation
Dynamic gradient coloring that reflects momentum intensity
Built-in signal line for momentum confirmation
Automatic alerts for trend reversals and momentum shifts
How It Works
The indicator operates through a four-stage calculation process:
Trend Basis Calculation: The indicator first calculates a Hull Moving Average (HMA) of the closing price. HMA was chosen specifically because it provides significantly less lag compared to Simple or Exponential Moving Averages while maintaining smoothness. This allows the oscillator to respond quickly to genuine price movements.
Distance Measurement: The raw distance between the current close price and the HMA trend line is calculated. This distance represents how far price has deviated from its smoothed trend.
ATR Normalization: The distance is then divided by the Average True Range (ATR) over the same lookback period. This normalization step is crucial - it makes the oscillator readings comparable across different assets regardless of their price levels or typical volatility. A stock trading at $500 and one at $5 will produce equivalent readings when their relative movements are similar.
Tanh Transformation: Finally, the normalized value is passed through a hyperbolic tangent function scaled by a sensitivity multiplier. The mathematical formula (e^2x - 1) / (e^2x + 1) naturally bounds the output between -100 and +100, preventing extreme spikes while preserving the directional information.
Trading Ideas and Insights
Zero Line Crossovers: When the oscillator crosses above zero, it indicates a shift from bearish to bullish momentum. Conversely, crossing below zero signals bearish momentum. These crossovers can be used as entry triggers when confirmed by other analysis.
Overbought/Oversold Levels: Readings above +80 suggest overbought conditions where price has extended significantly above its trend. Readings below -80 indicate oversold conditions. These extremes often precede mean reversion moves.
Signal Line Divergence: When the main oscillator (histogram) is above the signal line, momentum is increasing. When below, momentum is decreasing. This relationship helps identify the strength of the current move.
Momentum Fading: The indicator automatically fades the color intensity when the oscillator value is closer to the signal line than to the extremes, visually indicating weakening momentum before potential reversals.
How Multiple Indicators Work Together
LTW integrates three distinct technical concepts into a cohesive system:
Hull MA + ATR Integration: The Hull Moving Average provides the trend direction while ATR provides the volatility context. Together, they answer not just "where is the trend?" but "how significant is the current deviation relative to normal market movement?"
Mathematical Bounding + Visual Mapping: The tanh transformation ensures readings stay within predictable bounds, while the gradient coloring maps these bounded values to intuitive visual feedback. Strong bullish readings appear in bright green, strong bearish in bright red, with smooth transitions between.
Oscillator + Signal Line System: Similar to MACD's relationship between the MACD line and signal line, LTW uses a WMA-smoothed signal line to filter noise and confirm momentum direction. The interplay between the faster oscillator and slower signal creates actionable crossover signals.
Unique Aspects
Universal Normalization: Unlike many oscillators that produce different reading ranges on different assets, LTW's ATR normalization ensures consistent interpretation whether trading forex, crypto, stocks, or commodities.
Sensitivity Control: The sensitivity parameter allows traders to adjust how aggressively the oscillator responds to price changes. Higher values make it more responsive (useful for scalping), while lower values smooth out noise (better for swing trading).
Visual Momentum Feedback: The gradient coloring and transparency adjustments provide immediate visual feedback about trend strength without requiring traders to interpret numerical values.
How to Use
Add the indicator to your chart - it displays in a separate pane below price.
Watch for zero line crossovers as primary trend signals. Bullish when crossing above, bearish when crossing below.
Use the ±80 levels as caution zones where reversals become more likely.
Monitor the relationship between the histogram and signal line - histogram above signal indicates strengthening momentum.
Pay attention to color intensity - faded colors indicate weakening momentum and potential reversal zones.
Set alerts for automated notifications on trend changes and momentum shifts.
Customization
Trend Lookback (default: 21): Controls the HMA period. Lower values increase responsiveness but may generate more false signals. Higher values provide smoother trends but with more lag.
Signal Smoothing (default: 5): Adjusts the WMA period for the signal line. Higher values create a slower signal line with fewer crossovers.
Sensitivity (default: 1.5): Multiplier for the tanh transformation. Increase for more reactive signals, decrease for smoother readings.
Colors: Fully customizable bullish and bearish colors to match your chart theme.
Gradients: Toggle gradient coloring on/off based on preference.
Conclusion
The Luminous Trend Wave indicator offers traders a mathematically sound approach to momentum analysis. By combining the low-lag properties of Hull Moving Average with ATR-based normalization and bounded output transformation, LTW provides consistent, interpretable signals across any market. The visual feedback system makes trend strength immediately apparent, while the signal line crossovers offer clear entry and exit timing. Whether used as a standalone tool or combined with price action analysis, LTW helps traders identify trend direction, momentum strength, and potential reversal zones with clarity.
```
CRT + Turtle Soup IndicatorEste proyecto combina dos poderosas metodologías de trading basadas en conceptos de ICT (Inner Circle Trader):
Candle Range Theory (CRT) se fundamenta en la identificación de rangos de velas en timeframes superiores y la detección de raids de liquidez. La teoría sostiene que cuando el precio captura la liquidez de un lado del rango (high o low), tiende a moverse hacia el lado opuesto. Este comportamiento se basa en el principio de que el mercado se mueve principalmente por dos razones: balancear desequilibrios (imbalances) y cazar liquidez.
Turtle Soup es una estrategia que capitaliza los false breakouts (rupturas falsas) de niveles clave de soporte y resistencia. El nombre proviene de una referencia humorística al sistema "Turtle Trading" de los años 80, que operaba breakouts reales. Turtle Soup hace exactamente lo contrario: identifica cuando el precio rompe un nivel clave temporalmente para cazar stops, y luego revierte rápidamente en la dirección opuesta.
La combinación de ambas estrategias proporciona un marco robusto para identificar puntos de reversión de alta probabilidad, especialmente cuando se confirman con cambios en la estructura de mercado (Market Structure Shift).
+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
This project combines two powerful trading methodologies based on Inner Circle Trader (ICT) concepts:
Candle Range Theory (CRT) is based on identifying candlestick ranges on higher timeframes and detecting liquidity raids. The theory states that when the price captures liquidity on one side of a range (high or low), it tends to move to the opposite side. This behavior is based on the principle that the market moves primarily for two reasons: to balance imbalances and to hunt for liquidity.
Turtle Soup is a strategy that capitalizes on false breakouts of key support and resistance levels. The name comes from a humorous reference to the "Turtle Trading" system from the 1980s, which traded real breakouts. Turtle Soup does the exact opposite: it identifies when the price temporarily breaks a key level to trigger stop-loss orders, and then quickly reverses in the opposite direction.
The combination of both strategies provides a robust framework for identifying high-probability reversal points, especially when confirmed by market structure shifts.
JEETUNSE@GMAIL.COMOne of the beat intraday traders tool for both option trading and any kind of market situation any kind of script in world
Support & Resistance [KTY] Support & Resistance
Hi, I'm Kim Thank You 👋
KTY = Kim Thank You (김땡큐)
Automatically detects and displays key support and resistance levels based on recent pivot highs and lows.
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📊 FEATURES
- Auto-Detection
- Scans recent price action for pivot highs/lows
- Displays up to 3 resistance levels (red)
- Displays up to 3 support levels (green)
- Price Labels
- Shows exact price at each S/R level
- Clean visual reference
- Alert System
- Resistance touch alert
- Support touch alert
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✅ HOW TO USE
- Bounce near support → Higher chance of upward move
- Rejection near resistance → Higher chance of downward move
- S/R Flip: Broken support may act as resistance, broken resistance may act as support
- Combine with other indicators for higher reliability
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💡 TIPS
- Higher timeframe S/R levels are more reliable
- Watch for multiple rejections at same level
- Volume confirmation increases reliability
- Use with trendlines or moving averages
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⚠️ DISCLAIMER
This indicator is for educational purposes only.
Not financial advice. Always do your own research.
ICT Bias ProICT Bias Pro: Dashboard + First Hour Range & Session FVGs
This indicator is a comprehensive "Bias Builder" designed for traders who follow Inner Circle Trader (ICT) concepts. It combines a multi-timeframe trend dashboard with a specific intraday strategy derived from ICT's recent teaching: "How Do I Engage Markets When I Don't Have An Initial Bias?"
The tool is designed to help traders find confluence between the Macro trend (Daily/4H) and the Micro execution (15M/5M) during the New York AM Session.
Features & Methodology
1. Multi-Timeframe Bias Dashboard Located in the corner of your chart, this dashboard provides a quick "Traffic Light" view of the market structure across 4 key timeframes:
Daily & 4-Hour: Establishes the macro direction.
15-Min & 5-Min: Monitors intraday order flow.
Logic: Bias is determined by comparing price relative to the 20 EMA and checking for Market Structure alignment. Green = Bullish, Red = Bearish.
2. The "First Hour" Trading Range (No-Bias Strategy) Following ICT’s specific logic for days when bias is unclear, this tool automatically highlights the 9:30 AM – 10:30 AM (New York Time) trading range.
Range High & Low: Defining the volatility of the opening hour.
Equilibrium (50%): The "Line in the Sand." Price holding above the 50% signals bullish strength (Premium); price below signals bearish weakness (Discount).
Quadrants (25% & 75%): Deep discount/premium zones for precision entries.
3. Session-Specific Fair Value Gaps (FVG) The indicator automatically detects and draws Fair Value Gaps that form only within that critical first hour of trading.
Auto-Extension: Boxes extend to the right until price "mitigates" (fills) them.
Consequent Encroachment (C.E.): Automatically plots the 50% dashed line inside every FVG, a key institutional support/resistance level.
Smart Mitigation: Once a gap is filled, the box changes color (user-selectable) to indicate it is no longer an active magnet.
How to Use This Indicator
This tool is designed to identify Confluence:
Check the Dashboard: Look for alignment on the Daily and 4H timeframes (e.g., Both Green).
Wait for 10:30 AM EST: Allow the script to draw the First Hour Range.
Trade the Confluence:
Bullish Setup: If the Dashboard is Green, look for price to hold above the 50% Equilibrium of the First Hour Range. Look for entries inside Bullish FVGs that form near the 50% or 75% levels.
Bearish Setup: If the Dashboard is Red, look for price to reject the 50% Equilibrium and stay in the lower half. Target Bearish FVGs near the 50% or 25% levels.
Settings & Customization
Dashboard Toggle: Show or hide the table to keep charts clean.
Colors: Fully customizable colors for Range High/Low, FVGs (Bullish/Bearish), and Mitigated gaps.
Text Positioning: Adjust FVG labels (Left/Center/Right) to prevent visual clutter on candles.
Credits & Attribution
Concept: Inner Circle Trader (Michael Huddleston).
Core Strategy: Based on the video "How Do I Engage Markets When I Don't Have An Initial Bias?"
Disclaimer: This tool is for educational purposes only. Past performance is not indicative of future results.






















