Pro Intraday Reaction Levels🔥 Pro Intraday Reaction Levels
Maps yesterday’s range into today’s highest-probability intraday reaction zones.
Pro Intraday Reaction Levels is a professional market structure tool built for intraday traders who want clear context, smarter trade location, and high-probability reaction areas — without clutter.
Instead of plotting simple previous day lines, this indicator visualizes the entire prior day range and builds adaptive reaction zones where price is statistically more likely to stall, reject, or reverse.
It helps you stop trading blindly into extremes — and start trading with structure.
🧭 What It Shows on Your Chart
📦 Previous Day Range Box
Clearly displays yesterday’s full high–low range so you instantly know whether price is:
• Trading inside value
• Testing extremes
• Breaking into expansion
🔥 Adaptive Reaction Zones
Dynamic zones around the previous day high and low where intraday reactions commonly occur.
These zones automatically adjust to volatility (ATR):
Higher volatility → tighter zones
Lower volatility → wider zones
This keeps levels relevant in both quiet and fast markets.
⚖ Range Midpoint (Optional)
Marks the equilibrium level of the prior day — a common decision area for intraday traders.
⏹ Previous Day Close (Optional)
Displays a key reference level often respected as support/resistance or bias confirmation.
🧠 Why Traders Love It
Markets frequently react at previous day extremes due to liquidity, trapped traders, and institutional positioning.
This tool helps you:
✔ Spot potential reversal zones
✔ Identify breakout acceptance vs rejection
✔ Frame intraday bias using higher timeframe structure
✔ Avoid entering trades directly into reaction areas
It’s not just levels — it’s location and context.
⚙ Smart Features
🔹 Automatic Volatility Adjustment
Reaction zones scale dynamically using ATR so they stay meaningful in all conditions.
🔹 Session Mode
Choose how levels are projected:
• RTH Only – Focus on regular trading hours
• All Sessions – Use full 24-hour structure
🔹 Theme-Adaptive Visuals
Clean, Contrast, and Minimal themes automatically adjust colors for both dark and light charts.
🔹 Customizable Opacity & Colors
Fine-tune visibility without cluttering your chart.
🎯 Who This Is For
Ideal for traders who use:
• Intraday price action
• Futures and index trading
• Forex day trading
• Crypto intraday trading
• Support & resistance strategies
• Liquidity and reaction-based setups
Works on any market where previous day structure influences intraday behavior.
💡 How Many Traders Use It
Common approaches include:
• Looking for reversal patterns inside reaction zones
• Managing trades near PDH/PDL instead of chasing breakouts
• Combining zones with volume, order flow, or candlestick signals
• Using the midpoint and PDC as bias confirmation levels
Penunjuk dan strategi
RSI 55/45 + Volume Momentum Signalsthis is the best for buying when ever movement in the option and these strategy with rsi 55/45 base on sqeeze volume and blocking and when rsi above 55 blast premium and when rsi blow the 45 so blast the premium.
Nadaraya-Watson: Multi-FilterThe "Nadaraya" indicator models a curve fitted to the bars using the Rational Quadratic Kernel function - based on the script with additional filters that help plot the trend directly on the price chart.
The following filters are used:
- ALMA curve logic to smooth the Watson Nadaraya regression curve -Additionally, ALMA has a "volume-weighted" option, which may be important when there is little data or small price fluctuations - it helps stabilize the bar price
- ATR logic to smooth local data based on the assumed window and multiplier
- Local data deviation (fluctuations within the local window) logic to smooth the Watson nadaraya regression curve
The basic data is optimized for BTC on a 1D (daily) timeframe to demonstrate the indicator's capabilities.
Due to the relatively complex process of optimizing parameters for any timeframe, it is recommended to start with ATR and %. After optimization for a given interval, the indicator is very precise, although it is recommended to use it for very liquid assets with a large amount of data (sampling) - this is aimed at creating a smooth curve with an accurate indication of the change in the trend direction.
Dual MomentumEnter your assets using the data you got from the sheet and the indicator will tell you when to buy or get back to cash based off the momentum of these assets
RSI Momentum & Trend Suite - O59 Elite QuantRSI Momentum & Trend Suite – O59 Elite Quant
Professional Market Structure & Momentum Analysis Tool
RSI Momentum & Trend Suite – O59 Elite Quant is a comprehensive technical analysis indicator designed to help traders better understand market momentum, trend structure, price reactions, and key support & resistance zones directly on the chart.
This indicator combines RSI-based momentum analysis, dynamic bar coloring, price action signals, and automatic trend & support/resistance detection into a single, clean visual framework.
🔹 Momentum & Bar Coloring Logic
The indicator includes a custom RSI momentum engine that evaluates short-term price changes and momentum strength.
Candles are automatically colored when momentum reaches critical zones:
Above 70 → Strong bullish momentum
Below 30 → Strong bearish momentum
This candle coloring helps traders instantly recognize momentum extremes without switching to a separate RSI pane.
🔺 Buy & Sell Triangle Signals
The script generates triangle-based buy and sell signals based on a combination of:
RSI oversold / overbought conditions
Short-term price action behavior
Candle structure and confirmation logic
These signals are intended to highlight potential reaction zones, not to predict the market.
They work best when used together with trend direction and support/resistance levels.
📈 Automatic Trend Detection
The indicator automatically identifies ascending and descending trend structures using pivot-based swing analysis.
Trendlines are drawn dynamically based on higher lows and lower highs
Broken trendlines are automatically removed to keep the chart clean
Both bullish and bearish trends are visually distinguished
This allows traders to quickly assess whether the market is trending or losing structure.
🟦 Dynamic Support & Resistance Levels
Key support and resistance levels are detected using recent pivot points:
Levels extend forward in real time
Broken levels are removed automatically
Helps identify potential reaction, rejection, and liquidity zones
These levels are designed to adapt continuously as market structure evolves.
🧾 Information Table & Visual Themes
A customizable information table is displayed on the chart, showing:
Indicator name
Current symbol
Active timeframe
Author branding
Users can choose between multiple visual themes, allowing better readability and personal preference while maintaining a professional appearance.
⚠️ Important Notes & Risk Disclaimer
This indicator is designed as a technical analysis support tool only.
It does not provide financial advice
Signals and visual elements should not be used alone
Always confirm signals with your own strategy, risk management, and market context
⚠️ Special caution is advised during:
Low-volume sessions
Weekend price action
High-impact news events
Thin liquidity hours
Market conditions during these periods may produce false signals or reduced reliability.
📌 Final Disclaimer
This indicator is for educational and analytical purposes only.
It is not investment advice.
All trading decisions remain the sole responsibility of the use
VWMA 200 (HTF) + Fibonacci BandsVWMA 200 (HTF) + Fibonacci Bands + VWAP Trend Dashboard
This indicator combines a Higher Timeframe VWMA (default: 200) with volatility bands and Fibonacci-based internal levels, plus anchored VWAPs (Daily / Weekly / Monthly) and an optional trend dashboard table.
It was designed to help you quickly spot:
where price is relative to a major HTF VWMA mean
whether price is trading in normal / extreme zones
how price is positioned versus session/period VWAPs
a simple “at-a-glance” trend bias across multiple anchors
What’s included
1) VWMA 200 (HTF)
VWMA is calculated on a locked timeframe (HTF) using request.security.
Default source is HLC3, but you can change the source.
2) Volatility bands + Fibonacci levels
The outer bands are based on a scaled standard deviation (mult * stdev) around the HTF VWMA.
Internal bands use Fibonacci ratios:
11.8% / 23.6% / 38.2% / 50% / 61.8% / 76.4% / 88.6% / 100%
Clean labels on the right side show each level as a percentage.
3) Extreme candle highlighting
Candles can be highlighted when the close is beyond the 76.4% band (upper or lower).
Helps identify potential stretched conditions / breakout zones.
4) Anchored VWAPs
Optional Daily / Weekly / Monthly VWAP (anchored by period change).
Optional VWAP labels on the right side (toggle separately).
5) Trend Dashboard Table
Optional table showing Bullish / Bearish / Neutral for:
VWAP D, VWAP W, VWAP M, and VWMA HTF
Displays distance from each reference in points (price units).
Includes a Confluence row:
Bullish if price is above all references
Bearish if price is below all references
Mixed otherwise
Table position can be customized (Top Right / Top Left / Bottom Right / Bottom Left).
How to use (quick guide)
Mean reversion / structure: Use the HTF VWMA as the central “mean” reference.
Zones: Fibonacci bands show progressively stronger deviation zones from the mean.
Extremes: Candle coloring beyond 76.4% can highlight stretched price action.
Trend bias: The dashboard helps confirm whether price is aligned above or below key anchors (VWAPs + VWMA HTF).
Confluence: When multiple anchors agree, trend conviction tends to be higher.
Notes / Disclaimer
This tool is intended for context and decision support, not as a standalone strategy.
VWAP behavior may differ across markets/sessions depending on symbol and exchange rules.
Always combine with your own risk management and confirmation tools.
SPY 200SMA +4% Entry -3% Exit TQQQ/QLD/GLDM THREE PHASE STRATEGYWanted to take a look at all of the individual trades and provide a series of options to balance performance and risk. This post is expanding on my previous one - www.reddit.com
Here is the data and the backtesting splitting the strategy into three primary phases with multiple options and exact trade dates to help people easily backtest other combinations - docs.google.com (Three Tabs with the three phases)
If you just want my personal recommendations this would be what I will be using -
PHASE 1 (Strategy BUY signal triggers when SPY price crosses +4% over the SPY 200SMA) = 100% TQQQ
If trade lasts 366 days (Long Term Cap Gains) go to PHASE 2
If SPY price crosses below -3% SPY 200SMA go to PHASE 3
PHASE 2 (PHASE 1 lasts 366 days) = Deleverage and diversify into 50% QLD & 50% GLDM
PHASE 3 (Strategy SELL signal triggers when SPY price crosses -3% below the SPY 200SMA) = Defensive posture with 50% SGOV & 50% GLDM
As market degrades start selling SGOV and buying QQQ until 50% QQQ & 50% GLDM
TradingView Script for the THREE PHASE STRATEGY (imgur.com):
//
@version=
5
strategy("SPY 200SMA +4% Entry -3% Exit Strategy",
overlay=true,
default_qty_type=strategy.percent_of_equity,
default_qty_value=100)
// === Inputs ===
smaLength = input.int(200, title="SMA Period", minval=1)
entryThreshold = input.float(0.04, title="Entry Threshold (%)", step=0.01)
exitThreshold = input.float(0.03, title="Exit Threshold (%)", step=0.01)
startYear = input.int(1995, "Start Year")
startMonth = input.int(1, "Start Month")
startDay = input.int(1, "Start Day")
// === Time filter ===
startTime = timestamp(startYear, startMonth, startDay, 0, 0)
isAfterStart = time >= startTime
// === Calculations ===
sma200 = ta.sma(close, smaLength)
upperThreshold = sma200 * (1 + entryThreshold)
lowerThreshold = sma200 * (1 - exitThreshold)
// === Strategy Logic ===
enterLong = close > upperThreshold
exitLong = close < lowerThreshold
if isAfterStart
if enterLong and strategy.position_size == 0
strategy.entry("Buy", strategy.long)
if exitLong and strategy.position_size > 0
strategy.close("Buy")
// === 366-Day Marker Logic (Uninterrupted) ===
var
int
targetTime = na
// 1. Capture entry time only when a brand new position starts
if strategy.position_size > 0 and strategy.position_size == 0
targetTime := time + (366 * 24 * 60 * 60 * 1000)
// 2. IMPORTANT: If position is closed or a sell signal hits, reset the timer to "na"
if strategy.position_size == 0
targetTime := na
// 3. Trigger only if we are still in the trade and hit the timestamp
isAnniversary = not na(targetTime) and time >= targetTime and time < targetTime
// === Visuals ===
p_sma = plot(sma200, title="200 SMA", color=color.rgb(255, 0, 242))
p_upper = plot(upperThreshold, title="Entry Threshold (+4%)", color=color.rgb(0, 200, 0))
p_lower = plot(lowerThreshold, title="Exit Threshold (-3%)", color=color.rgb(255, 0, 0))
fill(p_sma, p_upper, color=color.new(color.green, 80), title="Entry Zone")
// Draw marker only if 366 days passed without a sell
if isAnniversary
label.new(bar_index, high, "366 DAYS - PHASE 2", style=label.style_label_down, color=color.yellow, textcolor=color.black, size=size.small)
// === Entry/Exit Labels ===
newOpen = strategy.position_size > 0 and strategy.position_size == 0
newClose = strategy.position_size == 0 and strategy.position_size > 0
if newOpen
label.new(x=bar_index, y=low * 0.97, text="BUY - PHASE 1", xloc=xloc.bar_index, yloc=yloc.price, color=color.lime, style=label.style_label_up, textcolor=color.black, size=size.small)
if newClose
label.new(x=bar_index, y=high * 1.03, text="SELL - PHASE 3", xloc=xloc.bar_index, yloc=yloc.price, color=color.red, style=label.style_label_down, textcolor=color.white, size=size.small)
200 SMA SPY Trading Range Bands Script:
//
@version=
5
indicator("200 SMA SPY Trading Range Bands", overlay=true)
// === Settings ===
smaLength = input.int(200, title="SMA Length")
mult1 = input.float(1.09, title="Multiplier 1 (9% Over)")
mult2 = input.float(1.15, title="Multiplier 2 (15% Over)")
// === Calculations ===
smaValue = ta.sma(close, smaLength)
line9Over = smaValue * mult1
line15Over = smaValue * mult2
// === Plotting ===
plot(smaValue, title="200 SMA", color=color.gray, linewidth=1, style=plot.style_linebr)
plot(line9Over, title="9% Over 200 SMA", color=color.rgb(255, 145, 0), linewidth=1)
plot(line15Over, title="15% Over 200 SMA", color=color.rgb(38, 1, 1), linewidth=2)
Top-secret Golden Mentor (Jorge's Algo)Description:
INTRODUCTION The Top-secret Golden Mentor is an institutional trading system engineered for surgical precision on Gold (XAUUSD) and other volatile assets. This indicator goes beyond simple entry signals; it automatically filters market traps (fakeouts) by aligning every volume anomaly with the macro market structure.
The main objective is simple: Stop trading against the trend and pinpoint exactly where institutions have injected capital.
KEY FEATURES
1. X-Ray Candles (True Volume Pressure) Move beyond traditional Japanese candlesticks. This indicator "undresses" the price action:
Grey Border: Represents the price range.
Color Fill (Green/Red): Reveals who actually won the internal volume battle (Delta).
Benefit: You can spot candles that look bullish on the outside but are "hollow" (empty of buyers) on the inside.
2. Smart Trend Filter (The Trap Detector) The core upgrade of V18. The system analyzes market structure in real-time.
If a BUY signal appears during a BEARISH structure, the system instantly marks it with a Grey "X".
Signal with "X" = MARKET TRAP (Absorption).
This prevents you from entering fake pullbacks that are about to be absorbed by the main trend.
3. Sniper Signals & Institutional Gaps (FVG) When the system detects a massive volume injection:
It plots a Volume Dot (Alert).
It automatically projects the 50% Retracement Line of the candle body (Institutional Equilibrium).
It draws a Subtle Box (Gap/FVG) marking the price inefficiency where institutions often return to mitigate.
4. Dynamic Structure Panel A visual dashboard in the top corner that instantly displays the current timeframe bias (BULLISH or BEARISH), removing subjective guesswork.
HOW TO USE THIS STRATEGY
Check the Panel: Is the bias BULLISH or BEARISH?
Wait for the Signal: Look for the Volume Dot.
Filter the Trap:
If the dot has a Grey "X" on top: DO NOT TRADE. It is a counter-trend trap.
If the dot has NO "X" and lines are drawn: VALID SIGNAL.
Execution: Place your Limit Order at the dotted 50% line or inside the Institutional Gap Box.
RECOMMENDED SETTINGS
Assets: Optimized for XAUUSD (Gold), but works on Forex and Futures.
Timeframes: Highly effective on 1H for direction and 5m for sniper entries.
DISCLAIMER This indicator is a technical analysis assistance tool based on Smart Money Concepts (SMC). It does not guarantee future profits. Always use proper risk management.
ST Order Block EngineAdvanced order block detection based on displacement and structural validation.
ROC-WMA bull bear indicatorROC-Weighted MA Oscillator
By Ludovic B
Modified source code of SeerQuant
The ROC-Weighted MA Oscillator (ROCWMA) is a momentum-driven oscillator designed to expose hidden acceleration and deceleration phases in price action by dynamically weighting a moving average with the normalized Rate of Change (ROC).
Instead of treating all price deviations equally, this indicator amplifies meaningful moves and suppresses low-energy noise, making it particularly effective in scalping, intraday trading, and momentum reversals.
🔧 Core Concept
A base moving average (SMA, EMA, TEMA, DEMA, HMA, ALMA, etc.)
Weighted by normalized ROC
Transformed into a Z-score oscillator for comparability across assets
Smoothed with a signal line for timing precision
Result: a context-aware oscillator that adapts to market intensity.
📊 What the Oscillator Shows
Bullish momentum when histogram is positive and expanding
Bearish momentum when histogram is negative and expanding
Neutral zone to filter chop and avoid over-trading
Automatic color logic to highlight regime changes
Optional candle coloring reflects the active momentum state.
🎯 Signal-Based Price Markers (Advanced Feature)
This script includes price-chart markers when:
The signal line retraces to X% of the maximum oscillator bar of the current momentum phase
AND the signal slope confirms exhaustion (rising or falling)
Key characteristics:
Adaptive thresholds (relative, not fixed)
Separate logic for bullish and bearish phases
Reset on each neutral-zone transition
Configurable number of markers per momentum cycle
This makes the indicator particularly useful for:
Pullback entries
Momentum fading
Timing partial exits
⚙️ Customization
Fully adjustable ROC length, MA type, signal length
Neutral zone threshold control
Multiple color schemes
Optional candle coloring
Adaptive signal-to-oscillator percentage logic
🧠 Best Use Cases
Scalping (M1–M5)
Intraday momentum confirmation
Pullback and exhaustion detection
Cross-asset trading (FX, indices, crypto, metals)
ROCWMA is not a lagging oscillator.
It is a momentum intensity detector built to reveal when price moves matter.
LSMA25 Trend Correction Continuation
## LSMA25 Trend Correction Continuation - Publishing Description
### Overview
This indicator highlights **trend continuation opportunities** using a **25-period LSMA (Least Squares Moving Average)** with a **slope/angle filter** and a simple **correction + re-entry** logic.
It is designed to mark:
* **Continuation entries** after a pullback (correction) and re-cross of LSMA in the direction of a strong trend
* **Strong-trend state** (subtle dots) when price stays on the trend side of LSMA with a steep angle, even without a fresh cross
### Core logic
1. **LSMA (25 by default)**
* Uses `ta.linreg(close, lsmaLen, 0)` as the LSMA line.
2. **Trend strength via angle (tick-normalized)**
* Computes 1-bar LSMA slope in **ticks**:
* `slopeTicks = (lsma - lsma ) / syminfo.mintick`
* Converts slope to an angle using `atan()` and a calibration input:
* `ticksPerBarFor45` approximates how many ticks per bar corresponds to ~45°
* Strong trend conditions:
* LONG trend strength when `angleDeg >= minAngleLongDeg`
* SHORT trend strength when `angleDeg <= minAngleShortDeg`
3. **Correction detection**
* LONG side: a correction exists if within the last `corrLookback` bars the close was **below** LSMA:
* `ta.barssince(close < lsma) <= corrLookback`
* SHORT side: correction exists if within the last `corrLookback` bars the close was **above** LSMA:
* `ta.barssince(close > lsma) <= corrLookback`
4. **Continuation signals**
* **Long Continuation (LC)** triggers when:
* Price **crosses above** LSMA (`ta.crossover(close, lsma)`)
* Angle indicates **strong uptrend**
* A recent **pullback below LSMA** occurred
* Optional ATR% filter passes
* **Short Continuation (SC)** triggers symmetrically on cross below.
5. **Strong trend markers**
* When price is on the trend side of LSMA and angle is strong:
* Uptrend: `close > lsma and strongUp`
* Downtrend: `close < lsma and strongDown`
* Drawn as small, semi-transparent circles (not entry signals by themselves).
### Plots and labels
* **LSMA line** plotted in yellow.
* **LC**: green triangle below bar (trend continuation long).
* **SC**: red triangle above bar (trend continuation short).
* **Dots**: tiny circles for strong-trend state when no fresh continuation signal is present.
### Inputs (how to tune)
* **LSMA length**
* Higher = smoother, fewer signals
* Lower = more responsive, more signals/noise
* **Ticks per bar ≈ 45°**
* Calibration control for angle scaling across different instruments/timeframes
* Increase it if angles look too “aggressive”; decrease it if angles look too “flat”
* **Min angle for LONG / Max angle for SHORT**
* Tighten to filter for only steep trends; loosen to allow more setups
* **Max correction bars back**
* Larger values allow older pullbacks to qualify
* Smaller values require a more recent correction
### Optional volatility filter (ATR%)
* When enabled, the script requires:
* `ATR% = (ATR / close) * 100 >= minAtrPct`
* Useful to avoid low-volatility chop (but can filter out valid trends on slow markets).
### How to use (practical)
* Use **LC/SC** as “trend continuation after pullback” markers:
* Prefer trading in the direction of higher timeframe bias (if applicable)
* Consider entries on LC/SC with your own risk rules (stops/targets are not included)
* Use the **strong-trend dots** as a regime filter:
* If dots persist, continuation setups have higher context quality
* If dots disappear frequently, market may be ranging/choppy
### Limitations (important)
* Angle is based on **LSMA 1-bar slope**, so it is sensitive to sudden changes and can vary across markets/timeframes.
* Correction logic is binary: it only checks whether price crossed to the other side of LSMA recently (not depth/structure of pullback).
* Signals depend on **close crossing LSMA**, not intrabar wick behavior.
* Not a full trading system: no position sizing, stops, or take profits.
### Alerts
Alerts fire only on **confirmed bars** (`barstate.isconfirmed`) for:
* “LSMA25 Long continuation”
* “LSMA25 Short continuation”
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
Delta Flow Profile [Ham]Variation of LuxAlgo original. The "Show Values" options allows you to turn off volume values printed on each bar. Also increased number of rows available
Scalping V5 - Strongest S/R & Predictive PanelScalping V5: Predictive Momentum & Institutional S/R by Herman Sangivera ( Papua )
Overview
Scalping V5 is a high-precision momentum indicator designed for lower timeframe traders (1m, 5m, 15m) who require a blend of trend-following logic and real-time structural analysis. Unlike standard indicators that only look at price action, this script utilizes a Dual-EMA Ribbon for momentum, a 200-period Filter for institutional bias, and a Predictive Probability Panel to gauge the strength of a potential move.
Key Features
1. Smart Momentum Ribbon (EMA 12/36)
The core of the strategy uses a dynamic ribbon.
Blue Ribbon: Indicates aggressive bullish momentum.
Red Ribbon: Indicates aggressive bearish momentum.
Traders should look for "Value Area" entries when the price retraces into the ribbon before continuing the trend.
2. Institutional Trend Guard (EMA 200)
To avoid "choppy" markets and counter-trend traps, the script plots a thick white baseline.
Above 200 EMA: Only Long setups are prioritized.
Below 200 EMA: Only Short setups are prioritized.
3. Dynamic Support & Resistance (S/R)
The script automatically calculates the Strongest Resistance (Highest High) and Strongest Support (Lowest Low) based on a 50-period lookback. This helps scalpers identify immediate "walls" in the market to set realistic Take Profit (TP) and Stop Loss (SL) levels.
4. Predictive Analytics Dashboard
The real-time panel in the top right provides:
Strategy State: Detects if the market is breaking out or consolidating.
Probability Score: A weighted calculation (smoothed by SMA) that determines the likelihood of the next move based on trend alignment.
Actionable Recommendation: Flashes "STRONG BUY" or "STRONG SELL" only when momentum and distance-to-target are optimal.
How to Trade with Scalping V5
Long Entry: Price must be above the EMA 200. Wait for the Ribbon to turn Blue and the Dashboard to display a Probability Up > 65%. Ensure there is enough "room" to the Red Resistance line.
Short Entry: Price must be below the EMA 200. Wait for the Ribbon to turn Red and the Dashboard to display a Probability Down > 65%. Ensure there is room to the Green Support line.
Exit Strategy: Take profits at the S/R levels or when the price closes back inside the EMA Ribbon.
Settings & Optimization
EMA 12/36: Optimized for Scalping. Increase to 20/50 for Day Trading.
Lookback S/R: Set to 50 for intraday levels; increase to 100 for more "significant" swing levels.
Overlay: This indicator is designed to be used directly on the price chart.
Disclaimer: Scalping involves significant risk. This tool is designed to assist your analysis and should be used in conjunction with proper risk management and price action confirmation.
Vishall Heikin Ashi ForceVishall Heikin Ashi Force
Vishall Heikin Ashi Force
Vishall Heikin Ashi Force
Vishall Heikin Ashi Force
Vishall Heikin Ashi Force
Kinetic Regression VectorKinetic Regression Vector (KRV) is a non-repainting direction and compression indicator designed for one job: help you avoid low-quality markets and catch high-quality expansion moves when the odds improve.
Most “prediction” tools either repaint, lag, or pretend they can call exact future prices. KRV doesn’t do that. Instead, it focuses on what actually improves trading outcomes: regime quality, directional bias, and compression-to-expansion timing — all shown visually and locked on closed candles.
What goes into it (what it’s built from)
KRV fits a smooth model to the last N bars of price action and projects that structure forward as a “vector tunnel.”
It uses three core ideas:
Weighted Least Squares (WLS) regression
Recent candles matter more than older ones. That means the model reacts faster when conditions change (important for sector shifts and fast ETF rotations), without using lagging moving averages.
Quality gating with R²
The indicator measures whether the market has been clean and structured recently. If structure is weak (chop/noise), KRV effectively turns itself “off” so you’re not trading randomness.
Model-based uncertainty bands (SEE) with a volatility fallback
Instead of sizing the tunnel only by volatility, KRV can size it by how consistent the model has been. When the model is unreliable, the tunnel widens. When it’s reliable, the tunnel tightens. If you prefer classic behavior, ATR-based band sizing is available as a fallback.
What makes it different (why it stands out)
KRV stands out because it combines features that are usually not together in one tool:
Adaptive, model-driven tunnel width (based on model error when SEE is enabled), instead of a fixed volatility channel that can look “confident” even in messy regimes.
Directional bias that is not a moving-average lag (it’s based on the fitted structure’s slope).
A compression trigger that is self-relative (pinch compares current band width to its own historical baseline, not an arbitrary threshold).
Strict non-repaint design (signals are computed from closed candles so the chart doesn’t lie after the fact).
Forward visualization (the tunnel projects into the future as a reference map, with uncertainty naturally increasing forward).
What you see on the chart
Vector Tunnel: the projected path and the expected noise range around it.
Color: bullish or bearish bias based on the current slope of the model.
Pinch: compression detected (band width unusually tight versus its baseline).
Bull/Bear Bullets: confirmed pinch signals aligned with directional bias.
Target Marker: a forward reference point based on the current structure (not a guarantee, but a useful reference level).
How to use it (simple, repeatable)
Use it as a three-step decision tool:
Gate (participate or stand down):
If the model is not “on” (quality is weak), treat it as a “stay out” signal. This is the most important feature for avoiding bad trades.
Direction (bias):
When the model is on, follow the bias. Bull bias means your edge is on longs. Bear bias means you avoid longs (or only take bearish setups if you trade that way).
Pinch + confirmation (timing):
A pinch means pressure is building. The bullet marks “compression + bias.” For best results, act after you see expansion confirmation (breakout candle / range expansion / level break) rather than treating the bullet as a blind entry.
Best features (why traders keep it)
Non-repainting signals locked to closed bars
Clear “stay out” logic during chop
Direction bias that responds faster than classic lagging tools
Compression detection designed to highlight expansion windows
Forward tunnel for planning risk, entries, and exits visually
Best markets and timeframes
KRV performs best on liquid ETFs and liquid large-cap stocks, and on sector themes like energy where regime shifts matter.
Recommended timeframes:
4H: best for timing entries and avoiding noise
Daily: best for swing direction and higher-quality setups
Weekly: best for big-picture regime filtering (stay out vs participate)
Monthly can be used for macro regime, but not for timing.
What to expect (honest expectations)
KRV is not a guaranteed predictor of exact prices. Its edge comes from:
filtering out weak/noisy regimes,
identifying compression that often precedes expansion,
and aligning that setup with a directional bias,
without repainting.
Cyberpunk Hyper-Linear ChannelCyberpunk Hyper-Linear Channel is a next-generation linear regression channel designed to visualize trend direction, volatility, and price positioning with high clarity and minimal noise.
Unlike traditional regression channels, this indicator applies EMA smoothing to both slope and intercept, significantly reducing sudden angle shifts and visual jitter.
The result is a stable, latency-controlled trend channel that adapts smoothly to market structure.
🔹 Core Concept
・Linear regression defines the trend axis
・Standard deviation determines dynamic channel width
・Slope & intercept smoothing improves structural stability
・Neon zones highlight bullish / bearish pressure in real time
🔹 Key Features
・Smoothed Linear Regression Channel (trend-focused, low noise)
・Volatility-based adaptive upper & lower boundaries
・Dynamic neon fill that reacts to price position
・Clear trend bias visualization without repainting clutter
・Cyberpunk-inspired, clean and modern aesthetic
🔹 How to Use
・Price near center line → Mean reversion / equilibrium zone
・Price approaching channel edges → Volatility expansion
・Upper zone dominance → Bullish trend pressure
・Lower zone dominance → Bearish trend pressure
・Breakouts beyond the channel may signal trend acceleration or exhaustion
🔹 Best Use Cases
・Trend-following confirmation
・Dynamic support & resistance mapping
・Market structure visualization across all assets
Cyberpunk Hyper-Linear Channel は、
トレンド方向・ボラティリティ・価格の位置関係を
ノイズを極力排除して可視化する次世代線形回帰チャネルです。
従来の線形回帰チャネルと異なり、
傾き（Slope）と切片（Intercept）の両方にEMAスムージングを適用。
これにより、角度の急変や視覚的ブレを抑えた
安定性の高いトレンド構造を描画します。
🔹 コンセプト
・線形回帰によるトレンド軸の定義
・標準偏差による動的チャネル幅
・スムージングで構造ノイズを低減
・価格位置に応じたネオンゾーンの動的強調表示
🔹 特徴
・低ノイズ・高安定な線形回帰チャネル
・ボラティリティ連動型の上下バンド
・価格位置に反応するダイナミックな発色
・リペイント感のないクリーンな描画
・サイバーパンク調の洗練されたデザイン
🔹 使い方
・中央線付近 → 平衡・持ち合いゾーン
・チャネル上限 / 下限付近 → ボラ拡大・圧力増加
・上部ゾーン優勢 → 上昇トレンド圧力
・下部ゾーン優勢 → 下降トレンド圧力
・チャネル外へのブレイクは加速 or 行き過ぎの兆候として注視
🔹 想定用途
・トレンドフォローの補助
・動的サポート / レジスタンスの把握
・相場構造の視覚的理解
Institutional Structure [Clean Pro]Institutional Structure — Script Explanation
This script is designed to map institutional market behavior using high-timeframe structure, not retail noise.
It focuses on where smart money acts, not on frequent signals.
🔹 1. High-Timeframe Support & Resistance (HTF S/R)
The script identifies major structural highs and lows using a higher lookback period.
Purpose:
Defines where institutions previously distributed or accumulated
Acts as natural decision zones
Filters out low-quality intraday levels
Why it matters:
Institutions trade from key HTF levels, not random support/resistance.
🔹 2. Equilibrium (50% Mean Price)
The equilibrium line represents the fair price between HTF high and low.
How it’s used:
Below equilibrium → discount zone (buy interest)
Above equilibrium → premium zone (sell interest)
Professional insight:
Smart money prefers buying discounts and selling premiums, not chasing price.
🔹 3. Market Structure Shift (MSS)
Instead of frequent BOS labels, the script detects true directional shifts.
Bullish MSS:
Price closes above previous HTF high
Bearish MSS:
Price closes below previous HTF low
Why MSS over BOS:
MSS confirms control change
Reduces false signals
Aligns with institutional execution logic
🔹 4. Liquidity Sweep Detection (Wick-Based)
The script identifies stop-hunt behavior using wick rejection logic.
Buy-side liquidity:
Wick above HTF high, but close back below
Sell-side liquidity:
Wick below HTF low, but close back above
Meaning:
Stops were triggered, but price failed to accept → smart money absorption
🔹 5. Fair Value Gap (FVG) – Refined Imbalance
Fair Value Gaps highlight inefficient price movement.
Bullish FVG:
Price leaves an upside imbalance
Bearish FVG:
Price leaves a downside imbalance
How pros use it:
As reaction zones, not entry signals
Best combined with liquidity + MSS
🔍 How Everything Works Together
The script is context-based, not signal-based:
1️⃣ HTF structure defines the battlefield
2️⃣ Liquidity is taken (stop hunts)
3️⃣ MSS confirms direction
4️⃣ FVG offers precision
5️⃣ Equilibrium filters bias
This creates high-probability trade environments, not overtrading.
📌 Best Practices (Professional Use)
Timeframes: 1H / 4H / Daily
Avoid lower TF noise
Trade only after liquidity is taken
Use FVG as confirmation, not trigger
Respect equilibrium bias
🎯 Summary
✔ Clean institutional logic
✔ No clutter, no spam
✔ HTF-driven decisions
✔ Liquidity-first mindset
✔ Designed for BTC, Gold & FX
🧠 Trade where institutions trade — not where indicators flash.
S/R Zones
### What it does
**Smart S/R Zones** automatically detects and visualizes **support and resistance zones** by:
* Finding **confirmed swing highs/lows** (pivot points)
* **Clustering nearby pivots** into price zones
* Scoring each zone by **how many pivots** it contains (zone “strength”)
* Marking zones as **active** or **broken**, and stopping broken zones at the breakout bar
* Keeping the chart clean by removing pivots and zones outside a configurable lookback window
### Core logic (how it works)
1. **Pivot detection (swing points)**
* Uses `ta.pivothigh()` and `ta.pivotlow()` with:
* `leftBars` bars to the left
* `rightBars` bars to the right
* Important: pivots are **confirmed only after `rightBars` bars**, so signals are delayed by design.
2. **Pivot memory + lookback cleanup**
* Each pivot is stored with:
* price
* type: `1` = resistance pivot high, `-1` = support pivot low
* pivot bar index (pivot’s original bar)
* active/broken flag
* breakout bar index (when it got broken)
* Pivots older than `lookbackPeriod` bars are removed.
3. **Dynamic zone width**
* Computes the recent range:
* `priceRange = highest(high, lookbackPeriod) - lowest(low, lookbackPeriod)`
* Converts it to a maximum zone width:
* `maxZoneWidth = priceRange * zoneWidthPct / 100`
* This makes zones adapt to volatility/regime changes.
4. **Breakout detection (pivot invalidation)**
* A resistance pivot is marked broken when:
* `close > pivotPrice * (1 + breakoutPct/100)`
* A support pivot is marked broken when:
* `close < pivotPrice * (1 - breakoutPct/100)`
* Note: breakout is **close-based**, not intrabar wick-based.
5. **Clustering pivots into zones**
* Pivots are grouped into zones **only with the same type** (support with support, resistance with resistance).
* A pivot joins a zone if it is close to the zone midpoint:
* `abs(price - zoneMid) <= maxZoneWidth/2`
* Zone boundaries expand to include the new pivot, but only if:
* `(newHigh - newLow) <= maxZoneWidth`
* Zone strength increments by 1 for each pivot added.
6. **Active vs broken zones (visual state)**
* Active zones extend to the **current bar**.
* Broken zones stop at their **breakout bar** (the bar index stored when the pivot was broken).
* Strength includes all pivots clustered, including pivots that later broke (as long as they are still in lookback).
### Visuals (what you see)
* **Green zones**: active support
* **Red zones**: active resistance
* **More transparent zones**: broken zones (support/resistance that was invalidated by a close beyond the breakout threshold)
* Optional labels:
* `S2`, `S3`… for support strength
* `R2`, `R3`… for resistance strength
* The number is the **count of clustered pivots** in that zone.
### Inputs (how to tune it)
* **Pivot Left Bars / Pivot Right Bars**
* Higher values = fewer pivots, more “major” swings, stronger zones
* Lower values = more pivots, more zones, more noise
* **Lookback Period**
* Limits how far back pivots are considered and keeps the chart uncluttered
* **Zone Width %**
* Controls how wide zones can get (as a % of recent range)
* Higher = more clustering, fewer broader zones
* Lower = tighter zones, more zones
* **Minimum Zone Strength**
* Filters weak zones. Example: set to 3 to show only zones formed by 3+ pivots
* **Breakout Threshold %**
* Defines how far price must close beyond a level to mark it broken
* Higher = fewer “false break” breaks, slower invalidation
* Lower = more responsive, more break markings
* **Show Strength Labels**
* Toggles S/R strength markers.
### How to use it in trading workflows
* **Zone reaction**: Watch for rejection/acceptance when price revisits a strong zone (`S3+`, `R3+`).
* **Breakout context**: A zone turning “broken” indicates price closed meaningfully beyond it (by threshold).
* **Confluence**: Use with your own context (trend, volatility, session structure, volume tools). This script is strictly price-structure based.
GridMap PRO by TradeAkademiGridMap PRO – Structural Price Mapping Framework
GridMap PRO is a price-mapping framework designed to visualize repeatable price reaction zones, based on the observation that price tends to evolve within specific percentage-based bands over time.
Despite its name, GridMap PRO is not a traditional grid trading indicator; it does not generate signals, predict direction, or provide automated trade execution. Its purpose is to segment price into logical and structurally consistent zones, offering a map that supports the decision-making process rather than replacing it.
This framework is not built on randomly drawn support and resistance levels, but on long-term observations, reverse-engineering studies, and the analysis of recurring price behavior across different market conditions.
Core Concept: Percentage-Based Scaling and Structural Bands
At the core of GridMap PRO lies a percentage-based scaling model centered around a 33% expansion ratio.
This ratio was not selected as a theoretical or mathematical constant. Instead, it emerged empirically through extensive analysis across multiple asset classes (including cryptocurrencies and traditional market instruments), by examining the percentage moves from significant price lows to areas where major price reactions frequently occurred.
Long-term observations have highlighted the following patterns:
In many upward price movements originating from a low, the first major price reaction often occurs within the 30–35% range
The midpoint of this range, 33%, has shown a recurring tendency to produce meaningful price reactions
Similar behavior can be observed not only when projecting from local lows, but also when applying the same ratio from the asset’s historical low
These findings suggest that the 33% ratio may reflect an aspect of price’s intrinsic scaling behavior, rather than representing a singular or “special” level.
Why the Historical Low (All-Time / Structural Low)?
GridMap PRO does not rely on dynamic or constantly shifting reference points when performing its calculations. Instead, it uses the historical lowest price as the most objective and indisputable anchor point available.
This design choice is intentional:
Dynamic lows:
introduce visual noise
require frequent redrawing of levels
reduce long-term structural consistency
The historical low:
is singular and fixed
does not repaint
preserves long-term perspective
By anchoring calculations to this structural low, GridMap PRO prioritizes stability and consistency over attempting to identify the “perfect” level at every moment. The goal is not precision through constant adjustment, but a coherent and durable price map.
Calculation Logic
The historical lowest price is used as the reference point
From this level, price levels are projected upward using a 33% multiplicative expansion
The resulting levels form long-term structural reference zones
Calculations are logarithmic, preserving the proportional nature of price scaling
Unlike traditional horizontal support and resistance tools, this approach allows price to expand while maintaining consistent relative distances as it grows.
Map Resolution: Long Term & Short Term
GridMap PRO offers two map resolution options, both derived from the same underlying structure and calculations.
Long Term
Displays only the primary 33% levels
Produces wider, more spaced structural bands
Suitable for macro structure analysis, swing trading, and position trading
Provides a clean and simplified view in high-volatility environments
Short Term
Retains the same primary levels
Adds logarithmic sub-levels between them
Produces denser and more precise reaction zones
Suitable for intraday analysis, short-term trade planning, and micro-structure evaluation
The underlying calculations remain unchanged; only the visual resolution and level density differ.
Visual Context & Supporting Tools
GridMap PRO also provides several optional visual tools that are not included in the core level calculations and are intended purely for visual support. These elements are designed to help interpret the price map more clearly and to provide additional contextual awareness.
The available visual components may include:
Moving Averages (EMA)
Used to provide contextual insight into the general price direction. They do not generate any entry or exit signals.
RSI Overbought / Oversold Zones
Displayed solely as background shading based on RSI values from the current timeframe and, optionally, from higher timeframes (e.g., 4H).
RSI Divergence Zones
Visual markers used to highlight potential momentum discrepancies, incorporating filters to limit repetitive signals.
None of these visual elements affect GridMap PRO’s level calculations, nor are they designed to serve as standalone trading signals. All visual settings are optional and can be enabled or disabled by the user.
What GridMap PRO Does – and Does Not Do
What It Does
Segments price into meaningful structural zones
Visualizes areas where price reactions are statistically more likely to occur
Provides reference regions for limit orders, grid-based approaches, or DCA planning
Helps identify whether price is trading within an active zone or moving through low-interaction space
What It Does Not Do
Generate long or short trade signals
Predict future price direction
Provide standalone buy or sell decisions
Offer any form of performance or outcome guarantee
GridMap PRO is not a signal generator, but a decision-support map.
Relationship to DCA and Grid Approaches
GridMap PRO is not a grid or DCA strategy by itself. However, when price fails to react at a given level, the next calculated percentage band naturally becomes a potential area of interest, offering a logical framework for DCA or layered position management.
In this context, GridMap PRO is particularly suitable for traders who favor process-driven and structured position management, rather than relying on single-point entries.
Final Note
Although the levels displayed by GridMap PRO have historically produced meaningful price reactions across many markets, no level can guarantee future price behavior. Market conditions, volatility, liquidity, and news flow should always be taken into account.
This tool is not designed to suggest that “price will definitely reverse here,” but rather that “price may pause, struggle, or change direction in this area.”
Because each market exhibits its own unique dynamics, the relevance of individual levels may vary by asset. Users are encouraged to validate all levels through their own historical observation and analysis.
New York | Asia | London - Session Range + ORB - [EntryLab]Session Ranges & 15min ORB – Asia, London, New YorkShort Title
This indicator plots the high and low of the three major trading sessions (Asia, London, New York) as well as the Opening Range Breakout (ORB) levels based on the first 15 minutes of each session.
Features: Full session high/low ranges for Asia (00:00–09:00 UTC), London (07:00–16:00 UTC), and New York (~13:30–20:00 UTC). Times are approximate UTC and may need adjustment depending on broker timezone or DST.
ORB: high and low calculated from the first 15-minute period (or equivalent bars) at the start of each session.
Customizable: toggle sessions on/off, change ORB duration, line styles, colors.
How to use:
Traders often monitor price action around prior session highs and lows to identify potential liquidity grabs or sweeps. The ORB provides additional confluence for gauging the session's potential directional bias or breakout levels.For example:A sweep of a prior session high/low can signal liquidity being taken.
Price breaking above/below the session's ORB high/low may indicate momentum in that direction for the current session.
This script combines multi-session range visualization with per-session ORB levels in one tool, which can help assess where liquidity pools may exist and where price could be drawn to fill or sweep certain areas.Best used on lower timeframes (e.g., 1m–15m) for intraday analysis. Session times are fixed (no automatic DST handling); users can modify them in the code if needed.Not financial advice. Trading involves significant risk of loss. Use at your own discretion and always test thoroughly.
Shock Gap Bot [Enhanced]Shock Gap bot this to provide entry for pre market stocks , so you can get the bounce back
