OF CVD Divergence Labels (Lite) by TheActualSnailCVD Divergence (Order Flow Proxy) — Lite
This indicator highlights price vs Cumulative Volume Delta (CVD) divergences directly on the price chart, using a lower-timeframe intrabar volume approximation and optional Open Interest (OI) confirmation.
It is designed to catch potential exhaustion, absorption, and early trend shifts, without cluttering the chart with extra panes or lines.
How it works
1️⃣ Intrabar Delta (Order Flow Proxy)
Volume is decomposed on a lower timeframe (e.g. 30s, 1m).
Each intrabar candle contributes volume to buying or selling pressure based on price movement.
This produces a delta (buy − sell volume).
Delta is accumulated into CVD, optionally reset on a higher timeframe (Daily / Weekly / Monthly).
This is not exchange-level footprint data — it’s a robust proxy that works on any TradingView symbol.
2️⃣ Pivot-Based Divergences
The script detects divergences using confirmed swing pivots:
Bullish Regular Divergence
Price makes a lower low
CVD makes a higher low
→ Suggests selling pressure is weakening
Bearish Regular Divergence
Price makes a higher high
CVD makes a lower high
→ Suggests buying pressure is weakening
Optional hidden divergences (continuation-type) can also be enabled.
All labels are plotted at the actual pivot bar, not repainting forward.
3️⃣ Open Interest filter (optional)
When enabled:
Labels are filtered by OI trend direction
You can require:
Rising OI (participation increasing)
Falling OI (position unwinding)
This helps reduce signals caused by low-liquidity noise or passive price movement.
Settings used (shown in screenshots)
These are the settings I personally use for cleaner, more precise pivot labels:
Lower TF (intrabar): 30s
Improves delta accuracy and reduces false divergences
CVD reset: Daily
Keeps CVD context relevant to the session
Pivot length: 5
Good balance between signal frequency and reliability
Use wicks for pivots: ✅ ON
Captures true extremes where absorption often happens
Min CVD diff filter: 0
No artificial filtering — rely on structure + confluence
Show hidden divergences: ❌ OFF
Focus on reversal-type signals
Enable OI filter: ✅ ON
Adds participation context
OI trend length: 5
Short-term confirmation without lag
Filter labels by OI: None
View all signals first, then judge context manually
How to use it (important)
This indicator is not a standalone trading system.
Best used together with:
Market structure (HH / HL / LL / LH)
Key levels (HTF levels, VWAP, range highs/lows)
Liquidity concepts (sweeps, equal highs/lows)
Volume behavior & session context
Divergence ≠ immediate reversal.
Think of it as a context tool, not an entry button.
⚠️ Disclaimer
This indicator is provided for educational purposes only.
It is not financial advice and should not be used on its own to make trading decisions.
Always combine with other confluences and proper risk management.
Wskaźniki i strategie
Herramienta Risk:Reward Pro - MECTRADEROverview: This is an advanced Risk/Reward management tool specifically designed for traders who execute based on Ticks (perfect for Futures like NQ/ES, Gold, or Forex). The main focus of this script is visual clarity and precision.
Key Features:
✅ Clean Visuals (No Dimming): Built using linefill technology with a 92% transparency rate. This ensures the price action remains vibrant and clear. Unlike standard boxes, this tool does not darken or "muddy" the candles when the price enters the zone.
✅ Tick-Based Calculation: Define your Stop Loss and up to 5 Take Profit levels using Ticks for maximum precision.
✅ Toggleable TP Levels: You can enable or disable TP1 through TP5 individually to match your scaling-out strategy.
✅ Dynamic Labels: Automatically displays the level name (Entry, SL, TP) along with the exact price value on the right-side scale.
✅ Long/Short Toggle: Switch between buy and sell setups instantly with a single drop-down selection.
How to use:
Add the script to your chart.
Open Settings and choose your Mode (LONG or SHORT).
Use the Precision Crosshair icon next to "Price Entry" to pick your execution level directly from the chart.
Adjust your Stop Loss and Profit Ticks.
The tool will project your risk zones professionally without interfering with your technical analysis.
7M Levels💎 Key Feature: "Relative Volume at Time"
Most RelVol indicators compare current volume to the full day's average, which is misleading during Pre-Market or After-Hours. 7M Levels uses a sophisticated "At Time" logic: It compares the current 5-minute volume to the historical average of that exact same time of day over the last 30 days.
Example: If a stock trades 50k shares at 8:00 AM, the script checks if that is normal for 8:00 AM. If the average is 5k, your RelVol is 10x—signaling a massive institutional move before the bell rings.
🛠️ Built-in Features
Live Scoring Engine: A fully customizable scoring system (default Pass: 7/10). The dashboard changes color based on your specific criteria, acting as a visual "Go/No-Go" signal.
Gap & Change Analysis: Tracks price action specifically since the 4:00 AM EST Pre-Market open.
Fundamental Snapshot: Instant access to Float (Mio), Industry, and Country without leaving the chart.
Technical Suite: Real-time monitoring of VWAP relation, MACD crossovers, RSI levels, and VWMA trends.
Smart Alerts: Integrated alerts with a built-in Cooldown Timer to prevent notification spam during volatile moves.
📊 How to use the Dashboard
Grey Rows: Basic information and reference data.
Green/Red Rows: Parameters that are currently passing or failing your custom "Momentum Score" settings.
Total Score: The bottom line. If it turns Emerald Green, the stock meets all your momentum requirements for a potential trade.
⚙️ Optimization
This script is optimized with a max_bars_back buffer of 5000 to ensure deep historical volume analysis remains stable even on ultra-fast timeframes like the 10-second or 1-minute chart.
Safe Trading! Disclaimer: This tool is for informational purposes only and does not constitute financial advice.
Floating FibFib will lock onto last traded price and float until you enter, then click Trade Entry and the entry price and it stays locked while your trade progresses
Triple ST + MACD + 7x MTF EMA + VWAP + ORB//@version=6
indicator('Triple ST + MACD + 7x MTF EMA + VWAP + ORB', overlay = true, max_labels_count = 500)
//━━━━━━━━━━━━━━━━━━━
// INPUTS
//━━━━━━━━━━━━━━━━━━━
// SuperTrend Group
atrPeriodPrimary = input.int(18, 'Primary ST ATR Period', group="SuperTrend")
multiplierPrimary = input.float(4.0, 'Primary ST Multiplier', group="SuperTrend")
atrPeriodSecondary = input.int(9, 'Secondary ST ATR Period', group="SuperTrend")
multiplierSecondary = input.float(2.0, 'Secondary ST Multiplier', group="SuperTrend")
atrPeriodTertiary = input.int(12, 'Tertiary ST ATR Period', group="SuperTrend")
multiplierTertiary = input.float(3.0, 'Tertiary ST Multiplier', group="SuperTrend")
// MACD Group
fastLength = input.int(24, 'MACD Fast Length', group="MACD")
slowLength = input.int(52, 'MACD Slow Length', group="MACD")
signalLength = input.int(9, 'MACD Signal Smoothing', group="MACD")
// EMA Group
tfEMA = input.timeframe("60", "EMA Timeframe (Global)", group="EMAs")
ema1Len = input.int(9, 'EMA 1 Length', group="EMAs")
ema2Len = input.int(21, 'EMA 2 Length', group="EMAs")
ema3Len = input.int(27, 'EMA 3 Length', group="EMAs")
ema4Len = input.int(50, 'EMA 4 Length', group="EMAs")
ema5Len = input.int(100, 'EMA 5 Length', group="EMAs")
ema6Len = input.int(150, 'EMA 6 Length', group="EMAs")
ema7Len = input.int(200, 'EMA 7 Length', group="EMAs")
// Visuals & ORB Group
showVwap = input.bool(true, 'Show VWAP?', group="Visuals")
showORB = input.bool(true, "Show ORB (Current Day Only)", group="ORB Settings")
orbTime = input.string("0930-1000", "ORB Time Range", group="ORB Settings")
orbTargetMult1 = input.float(1.0, "Target 1 Mult", group="ORB Settings")
//━━━━━━━━━━━━━━━━━━━
// CALCULATIONS
//━━━━━━━━━━━━━━━━━━━
// 1. Custom SuperTrend Function
f_supertrend(_atrLen, _mult) =>
atr_ = ta.atr(_atrLen)
upperBasic = hl2 + _mult * atr_
lowerBasic = hl2 - _mult * atr_
var float upperFinal = na
var float lowerFinal = na
upperFinal := na(upperFinal ) ? upperBasic : (upperBasic < upperFinal or close > upperFinal ? upperBasic : upperFinal )
lowerFinal := na(lowerFinal ) ? lowerBasic : (lowerBasic > lowerFinal or close < lowerFinal ? lowerBasic : lowerFinal )
var int dir = 1
if not barstate.isfirst
dir := dir
if dir == 1 and close < lowerFinal
dir := -1
else if dir == -1 and close > upperFinal
dir := 1
super = dir == 1 ? lowerFinal : upperFinal
= f_supertrend(atrPeriodPrimary, multiplierPrimary)
= f_supertrend(atrPeriodSecondary, multiplierSecondary)
= f_supertrend(atrPeriodTertiary, multiplierTertiary)
// 2. MACD
macdLine = ta.ema(close, fastLength) - ta.ema(close, slowLength)
signal = ta.ema(macdLine, signalLength)
// 3. MTF EMAs (7 Options)
ema1 = request.security(syminfo.tickerid, tfEMA, ta.ema(close, ema1Len), gaps = barmerge.gaps_on)
ema2 = request.security(syminfo.tickerid, tfEMA, ta.ema(close, ema2Len), gaps = barmerge.gaps_on)
ema3 = request.security(syminfo.tickerid, tfEMA, ta.ema(close, ema3Len), gaps = barmerge.gaps_on)
ema4 = request.security(syminfo.tickerid, tfEMA, ta.ema(close, ema4Len), gaps = barmerge.gaps_on)
ema5 = request.security(syminfo.tickerid, tfEMA, ta.ema(close, ema5Len), gaps = barmerge.gaps_on)
ema6 = request.security(syminfo.tickerid, tfEMA, ta.ema(close, ema6Len), gaps = barmerge.gaps_on)
ema7 = request.security(syminfo.tickerid, tfEMA, ta.ema(close, ema7Len), gaps = barmerge.gaps_on)
// 4. ORB CALCULATION (Current Day Only)
is_new_day = ta.change(time("D")) != 0
in_orb = not na(time(timeframe.period, orbTime))
is_today = (year(time) == year(timenow)) and (month(time) == month(timenow)) and (dayofmonth(time) == dayofmonth(timenow))
var float orbHigh = na
var float orbLow = na
if is_new_day
orbHigh := na
orbLow := na
if in_orb and is_today
orbHigh := na(orbHigh) ? high : math.max(high, orbHigh)
orbLow := na(orbLow) ? low : math.min(low, orbLow)
orbRange = orbHigh - orbLow
t1_up = orbHigh + (orbRange * orbTargetMult1)
t1_dn = orbLow - (orbRange * orbTargetMult1)
//━━━━━━━━━━━━━━━━━━━
// PLOTTING
//━━━━━━━━━━━━━━━━━━━
// VWAP
plot(showVwap ? ta.vwap : na, title="VWAP", color=color.orange, linewidth=2)
// Triple SuperTrends
plot(stPrimary, title='Primary ST', color=dirPrimary == 1 ? color.green : color.red, linewidth=2)
plot(stSecondary, title='Secondary ST', color=dirSecondary == 1 ? color.teal : color.maroon, linewidth=1)
plot(stTertiary, title='Tertiary ST', color=dirTertiary == 1 ? color.lime : color.orange, linewidth=1)
// 7 EMAs
plot(ema1, title='EMA 1', color=color.new(color.white, 50))
plot(ema2, title='EMA 2', color=color.new(color.yellow, 60))
plot(ema3, title='EMA 3', color=color.new(color.orange, 70))
plot(ema4, title='EMA 4', color=color.new(color.blue, 70))
plot(ema5, title='EMA 5', color=color.new(color.purple, 70))
plot(ema6, title='EMA 6', color=color.new(color.fuchsia, 80))
plot(ema7, title='EMA 7', color=color.new(color.gray, 80))
// ORB Plots
plot(showORB and is_today ? orbHigh : na, title="ORB High", color=color.aqua, linewidth=2, style=plot.style_linebr)
plot(showORB and is_today ? orbLow : na, title="ORB Low", color=color.aqua, linewidth=2, style=plot.style_linebr)
plot(showORB and is_today and not in_orb ? t1_up : na, title="Target 1 Up", color=color.new(color.lime, 40), style=plot.style_linebr)
plot(showORB and is_today and not in_orb ? t1_dn : na, title="Target 1 Down", color=color.new(color.red, 40), style=plot.style_linebr)
// MACD Shapes
plotshape(ta.crossover(macdLine, signal), title="MACD Bull", style=shape.triangleup, location=location.belowbar, color=color.green, size=size.small, text="MACD+")
plotshape(ta.crossunder(macdLine, signal), title="MACD Bear", style=shape.triangledown, location=location.belowbar, color=color.red, size=size.small, text="MACD-")
// Background (Based on Primary ST)
bgcolor(dirPrimary == 1 ? color.new(color.green, 96) : color.new(color.red, 96))
DafeUltimateLibDAFE Ultimate Library: The Universal AI Dashboard & Analysis System
This is the operating system for your next generation of trading tools. Welcome to the future of on-chart intelligence.
█ PHILOSOPHY: BEYOND THE INDICATOR, INTO THE CONSCIOUSNESS
For decades, technical analysis has been a monologue. We load indicators onto our charts, and they give us static, one-dimensional answers: a line, a number, a crossover. They provide data, but they offer no wisdom, no context, no actionable intelligence. They are tools without a mind.
The DAFE Ultimate Library was created to fundamentally shatter this paradigm. It was not designed to be another indicator, but to be the very brain that powers all of your future indicators. This is a professional-grade, open-source library that allows any Pine Script developer to integrate a sophisticated, AI-powered analytical and visualization engine into their own scripts with just a few lines of code.
This library transforms your indicator from a simple data plotter into an intelligent trading assistant. It takes in raw metrics—RSI, MACD, Volume, Volatility—and synthesizes them into a rich, multi-dimensional analysis, complete with a primary bias, confidence score, market state assessment, and a set of dynamic, actionable recommendations. It doesn't just give you the "what"; it gives you the " so what? "
█ WHAT IS THIS LIBRARY? A REVOLUTION IN PINE SCRIPT
This is a foundational shift in what's possible within the TradingView ecosystem.
A Universal AI Brain: At its core is a powerful analysis engine. You feed it any number of metrics from your own custom script—each with its own type (bounded, zero-centric, trend, etc.) and weight—and the AI synthesizes them into a single, cohesive analysis. It's like having a quantitative analyst living inside your indicator.
The ASCII Art Visualization Core: This is the soul of the library. We have pushed the boundaries of what's possible with Pine Script's table and label objects to create a stunning, fully animated, and customizable ASCII art interface. This is not a gimmick; it is a high-information-density display that brings your data to life in a way that is both beautiful and intuitively understandable. Choose from multiple "genders" (Male, Female, Droid) and themes to create an AI assistant that fits your personal aesthetic.
Open & Extensible Framework: This is a library, not a closed black box. It is designed to be the foundation for a new generation of "smart" indicators. I provide a simple, powerful API (Application Programming Interface) that allows any developer to plug their own unique metrics into the DAFE AI brain and instantly gain access to its analytical and visualization power.
Human-Readable Intelligence: The output is not just numbers. The AI communicates in natural language. It provides you with its "Thoughts" ("Bullish momentum across 3 metrics," "Structural weakness developing") and a set of "Recommended Actions" ("ACCUMULATE on pullbacks," "TIGHTEN stops") that adapt in real-time to the changing market conditions.
█ HOW IT WORKS: THE ARCHITECTURE OF AN AI
The library operates on a simple but powerful three-stage pipeline.
Stage 1: Metric Ingestion (The Senses)
As a developer, you first define the "senses" of your AI. Using the library's simple create_metric functions, you tell the AI what to look at. This is a highly flexible system that can handle any type of data your indicator produces. You define the metric's name, its current value, its "mode" of operation, and its relative importance (weight). The available modes allow the AI to correctly interpret any data source:
metric_bounded: For oscillators like RSI or Stochastics that move between set levels (e.g., 0-100).
metric_zero: For indicators like MACD or a Momentum oscillator that fluctuate around a central zero line.
metric_trend: For moving averages or trend lines, analyzing their position relative to price.
metric_volume / metric_volatility: Specialized metrics for analyzing volume and volatility events against high/low thresholds.
Stage 2: The Analysis Engine (The Brain)
On every bar, the library takes the updated metric values and feeds them into its core analytical model. This is where the magic happens.
Normalization: Each metric is processed according to its "mode" and converted into a standardized signal score from -100 (extremely bearish) to +100 (extremely bullish). This allows the AI to compare apples and oranges—an RSI of 80 can now be directly compared to a MACD histogram of 0.5.
Synthesis: The AI calculates a composite score by taking a weighted average of all the individual metric signals. This gives a single, unified view of the market's state based on all available evidence.
State Assessment: It analyzes the distribution of signals (how many are bullish vs. bearish), the number of "extreme" readings (e.g., overbought, high volume), and the overall composite score to determine the current Market State (e.g., "STRONG TREND," "MIXED SIGNALS," "EXTREME CONDITIONS").
Confidence Calculation: The magnitude of the final composite score is translated into a Confidence percentage, representing the strength of the AI's conviction in its current bias.
Natural Language Generation: Based on the final analysis, the engine selects the most appropriate "Thoughts" and "Recommended Actions" from its pre-programmed library of strategic heuristics, providing you with context and a potential game plan.
Stage 3: The Rendering Engine (The Face)
The final analysis is passed to the visualization core, which renders the complete AI Terminal on your chart. This is a masterwork of Pine Script's drawing capabilities.
The Face: The stunning ASCII art face is dynamically generated on every bar. Its Mood (Confident, Focused, Cautious, etc.) is directly determined by the AI's confidence level. Its eyes will even animate with a subtle, customizable Blink cycle, bringing the character to life and creating an unparalleled user experience.
The Dashboard: The surrounding terminal is built, displaying the primary bias, market state, confidence, and the detailed thoughts, active metrics, and recommended actions in a clean, retro-futuristic interface.
Theming: The entire display is colored according to your chosen theme, from the cool greens of "Matrix" to the vibrant pinks of "Neon," allowing for deep personalization.
█ A GUIDE FOR DEVELOPERS: INTEGRATING THE DAFE AI
We have made it incredibly simple to bring your indicators to life with the DAFE AI. This is the true purpose of the library—to empower you.
Import the Library: Add the following line to the top of your script import DskyzInvestments/DafeUltimateLib/1 as dafe
Define Your Metrics: In the barstate.isfirst block of your script, create an array and populate it with the metrics your indicator uses. For example:
var array my_metrics = array.new()
if barstate.isfirst
array.push(my_metrics, dafe.metric_bounded("RSI", 50.0, 70.0, 30.0, 1.5))
array.push(my_metrics, dafe.metric_zero("MACD Hist", 0.0, 0.5, 1.0))
Update Your Metrics: On every bar, update the values of your metrics.
dafe.update_metric(array.get(my_metrics, 0), ta.rsi(close, 14))
dafe.update_metric(array.get(my_metrics, 1), macd_histogram_value)
Configure & Render: Create a configuration object from user inputs and call the main render function.
dafe.DafeConfig my_config = dafe.quick_config("Droid", "Cyber")
dafe.render(my_metrics, my_config)
That's it. With these few steps, you have integrated a complete AI dashboard and analysis engine directly into your own script, saving you hundreds of hours of development time and providing your users with a revolutionary interface.
█ DEVELOPMENT PHILOSOPHY
The DAFE Ultimate Library was born from a desire to push the boundaries of Pine Script and to empower the entire TradingView developer community. We believe that the future of technical analysis is not just in creating more complex algorithms, but in building more intelligent and intuitive ways to interact with the data those algorithms provide. This library is our contribution to that future. It is an open-source tool designed to elevate the work of every developer who uses it, fostering a new era of "smart" indicators on the platform.
This library is designed to help you and your users make the best trades by providing a layer of objective, synthesized intelligence that filters out noise, quantifies confidence, and promotes a disciplined, analytical approach to the market.
█ A NOTE TO USERS & DISCLAIMER
THIS IS A LIBRARY: This script does nothing on its own. It is a powerful engine that must be integrated by other indicator developers. It is a tool for builders.
THE AI IS A GUIDE, NOT A GURU: The analysis provided is based on the mathematical synthesis of the metrics it is fed. It is a powerful decision-support tool, but it is not a crystal ball. All trading involves substantial risk.
GARBAGE IN, GARBAGE OUT: The quality of the AI's analysis is directly dependent on the quality and logic of the metrics it is given by the host indicator.
"The goal of a successful trader is to make the best trades. Money is secondary."
— Alexander Elder
Taking you to school. - Dskyz, Trade with DAFE.
Accurate Swing Trading + Support Resistance MTF (EN)Swing trading setup based on volume and support restistance. use buy main signal for large trend change and for swing trade use buy
KI Power signaleManus Machiene Learning Beast – Indicator Description
Overview
Manus Machiene Learning Beast is an advanced TradingView indicator that combines Machine Learning (Lorentzian Classification) with trend, volatility, and market regime filters to generate high-quality long and short trade signals.
The indicator is designed for rule-based, disciplined trading and works especially well for set-and-forget, semi-automated, or fully automated execution workflows.
⸻
Core Concept
At its core, the indicator uses a machine-learning model based on a modified K-Nearest Neighbors (KNN) approach.
Instead of standard Euclidean distance, it applies Lorentzian distance, which:
• Reduces the impact of outliers
• Accounts for market distortions caused by volatility spikes and major events
• Produces more robust predictions in real market conditions
The model does not attempt to predict exact tops or bottoms.
Instead, it estimates the probable price direction over the next 4 bars.
⸻
Signal Logic
Long Signals
A long signal is generated when:
• The ML model predicts a positive directional bias
• All enabled filters are satisfied
• A new directional change is detected (non-repainting)
• Optional trend filters (EMA / SMA) confirm the direction
• Optional kernel regression confirms bullish momentum
📍 Displayed as a green label below the bar
Short Signals
A short signal is generated when:
• The ML model predicts a negative directional bias
• Filters confirm bearish conditions
• A new directional change occurs
• Trend and kernel filters align
📍 Displayed as a red label above the bar
⸻
Filters & Components
All filters are modular and can be enabled or disabled individually.
1. Volatility Filter
• Avoids trading during extremely low or chaotic volatility conditions
2. Regime Filter (Trend vs Range)
• Attempts to filter out sideways markets
• Especially important for ML-based systems
3. ADX Filter (Optional)
• Trades only when sufficient trend strength is present
4. EMA / SMA Trend Filters
• Classic trend confirmation (e.g., 200 EMA / 200 SMA)
• Ensures trades are aligned with the higher-timeframe trend
5. Kernel Regression (Nadaraya-Watson)
• Smooths price behavior
• Acts as a momentum and trend confirmation filter
• Can be used in standard or smoothed mode
⸻
Moving Average Overlays
For visual market context, the indicator includes optional overlays:
• ✅ SMA 200
• ✅ HMA 200
Both can be toggled via checkboxes and are visual aids only, unless explicitly enabled as filters.
⸻
Exit Logic
Two exit methods are available:
1. Fixed Exit
• Trades close after 4 bars
• Matches the ML model’s training horizon
2. Dynamic Exit
• Uses kernel regression and signal changes
• Designed to let profits run in strong trends
⚠️ Recommended only when no additional trend filters are active.
⸻
Backtesting & Trade Statistics
The indicator includes an on-chart statistics panel showing:
• Win rate
• Total trades
• Win/Loss ratio
• Early signal flips (useful for identifying choppy markets)
⚠️ This is intended for calibration and optimization only, not as a replacement for full strategy backtesting.
⸻
Typical Use Cases
• Swing trading (M15 – H4)
• Rule-based discretionary trading
• Set-and-forget trading
• TradingView alerts → MT4/MT5 → EA execution
• Prop-firm trading (e.g. FTMO), with proper risk management
⸻
Important Disclaimer
This indicator:
• ❌ does not guarantee profits
• ❌ is not a “holy grail”
• ✅ is a decision-support and structure tool
It performs best when:
• Combined with strict risk management (e.g. ATR-based stops)
• Used in trending or expanding markets
• Executed with discipline and consistency
RSI Futures Trading SystemRSI Futures Trading System
RSI Futures Trading System is a clean, continuous RSI engine built specifically for futures markets (ES, NQ, YM, RTY, CL, GC, Crypto).
The indicator uses an adaptive RSI/Signal pair to color candles, mark RSI state flips with subtle arrows, and print actionable LONG/SHORT labels only when price confirms above or below the last directional arrow. Labels always take priority over arrows to keep the chart clean and readable.
Important:
Your results depend heavily on selecting the right RSI Length, Signal Length, and smoothing methods for your instrument and timeframe. Futures structure changes throughout the day, and using inappropriate RSI settings will produce noisy or misleading labels. Backtesting and tuning these values is essential for stable, high‑quality signals.
Optional overlays include Bollinger Bands and two EMAs for additional context.
This tool is designed for traders who want a disciplined, minimal, and continuous RSI workflow without the clutter or resets found in equity‑based systems.
Other Important Notes:
This is not a strategy; it does not place trades automatically.
All signals are visual and intended for discretionary or rule‑based manual execution.
Always backrest and validate signals on your preferred futures instrument and timeframe.
Pivots Double Top/Bottom - NancyPsTitsOriginal script taken and converted from HeWhoMustNotBeNamed excellent original script. converted from pine v4 to pine v6 and added alerts for LL, LH, HH, HL for any time frame
// Modified to include HH/HL/LH/LL alerts with timeframe selection
Gold Zones - Static Simplified1. The "Memory" of the Market
Each zone is created by clustering multiple Pivot Points (swing highs and lows). A zone with "10 touches" is significantly more powerful than one with "3 touches" because it shows that every time Gold reached that price, a large number of orders were triggered.
2. The "Break and Retest" Mechanism
This is the core logic of the strategy.
The Break: When Gold moves with high momentum through a zone (e.g., breaking above a Resistance zone), it signals that the balance of power has shifted to the buyers.
The Retest: Once the breakout happens, "trapped" sellers often close their positions, and new buyers wait for a better price. Price usually returns to the top edge of the broken zone. What was once a "Ceiling" (Resistance) now becomes a "Floor" (Support).
3. Zone Strength & Interpretation
Support Zones (Price is above): These are "Buying Floors." You look for the price to dip into these gray boxes and show rejection (long wicks) before entering a long position.
Resistance Zones (Price is below): These are "Selling Ceilings." You look for the price to rally into these boxes and stall before considering a short position.
Thickness of the Zone: A wider zone indicates a highly volatile area where price struggled to find a clear direction. A thinner, tighter zone represents a very precise level where the market reacted instantly.
Quantum Mean Reversion Oscillator[Pineify]Quantum Mean Reversion Oscillator - Statistical Z-Score Based Trading Signals
The Quantum Mean Reversion Oscillator (QMR) is a statistically-driven momentum indicator designed to identify high-probability mean reversion opportunities in any market. Built on the foundation of Z-score analysis, this oscillator measures how far price has deviated from its statistical mean, expressed in standard deviations. When price stretches too far from equilibrium, it tends to snap back—this indicator captures those precise moments.
Key Features
Z-Score based oscillator measuring price deviation from dynamic mean
Adaptive EMA-based mean calculation for responsive trend detection
Customizable standard deviation multiplier for volatility adjustment
Built-in smoothing to filter market noise and reduce false signals
Visual gradient glow effect showing momentum intensity
Clear overbought/oversold threshold levels at +2.0 and -2.0
Automatic buy and sell signal generation on mean reversion events
Pre-configured alert conditions for automated trading workflows
How It Works
The indicator employs a three-step calculation process rooted in statistical analysis:
Dynamic Mean Calculation: Rather than using a simple moving average, the oscillator uses an Exponential Moving Average (EMA) as the basis. This makes the mean more responsive to recent price action while still maintaining statistical validity.
Z-Score Computation: The core of this indicator is the Z-score formula: (Price - Mean) / Standard Deviation. This transforms raw price data into a normalized scale where values represent how many standard deviations price has moved from its mean. A reading of +2.0 means price is two standard deviations above average—a statistically significant extreme.
Noise Reduction: The raw Z-score is smoothed using a Simple Moving Average to eliminate whipsaws and provide cleaner, more actionable signals.
Trading Ideas and Insights
Mean reversion is one of the most fundamental concepts in quantitative trading. Markets tend to oscillate around fair value, and extreme deviations often precede reversals. The QMR Oscillator quantifies this behavior:
When the oscillator exceeds +2.0, price is statistically overbought—approximately 95% of price action occurs below this level under normal distribution
When the oscillator drops below -2.0, price is statistically oversold—a zone where buying pressure typically emerges
The crossback signals (crossing back inside from extremes) indicate the reversion has begun, providing entry timing
This approach works particularly well in ranging markets and can identify exhaustion points in trending markets where pullbacks are likely.
How Multiple Indicators Work Together
The QMR Oscillator integrates three complementary statistical concepts into a unified framework:
EMA for Mean: Provides a responsive baseline that adapts to changing market conditions faster than traditional SMA, ensuring the "fair value" reference point stays relevant.
Standard Deviation for Volatility: Automatically adjusts the oscillator's sensitivity based on current market volatility. During high volatility, larger price moves are required to reach extreme readings, preventing false signals.
SMA Smoothing: Applied as a final filter to remove noise without introducing significant lag, balancing responsiveness with reliability.
These three components work synergistically—the EMA tracks the trend, standard deviation normalizes for volatility, and smoothing ensures signal quality.
Unique Aspects
Statistical Foundation: Unlike arbitrary oscillator boundaries, the +/-2.0 levels have statistical meaning—representing approximately 2 standard deviations from the mean
Visual Gradient System: The glow effect intensifies as price moves further from equilibrium, providing intuitive visual feedback on momentum strength
Adaptive Sensitivity: The deviation multiplier allows traders to adjust how extreme price must move before triggering signals, accommodating different trading styles and market conditions
How to Use
Add the indicator to your chart and observe the oscillator's position relative to the zero line and threshold levels
Look for buy signals (B markers) when the oscillator crosses back above -2.0 from oversold territory
Look for sell signals (S markers) when the oscillator crosses back below +2.0 from overbought territory
Use the gradient glow intensity to gauge momentum strength—brighter colors indicate more extreme conditions
Set up alerts using the built-in alert conditions for automated notifications
Customization
Mean Lookback (default: 20): Controls the EMA period for mean calculation. Shorter periods increase sensitivity; longer periods provide smoother readings
Deviation Multiplier (default: 2.0): Adjusts how many standard deviations define the bands. Higher values require more extreme moves for signals
Smoothing (default: 3): Controls noise filtering. Increase for smoother signals in choppy markets
Bullish/Bearish Glow Colors: Customize the visual appearance to match your chart theme
Show Reversion Signals: Toggle buy/sell markers on or off
Conclusion
The Quantum Mean Reversion Oscillator provides traders with a statistically rigorous tool for identifying mean reversion opportunities. By combining Z-score analysis with adaptive volatility measurement and intelligent smoothing, it offers a systematic approach to finding high-probability reversal points. Whether used as a standalone indicator or as confirmation for other analysis methods, the QMR Oscillator brings quantitative precision to mean reversion trading strategies.
Volatilidad (COCIENTE close) 14/90 + Zonas📊 Volatility (CLOSE RATIO) 14/90 + Zones
This indicator measures relative market volatility by comparing the daily price range to the daily closing price, and then evaluating that value against its historical behavior over short-term (14) and medium-term (90) periods.
Unlike traditional volatility approaches based solely on the High–Low range, this indicator introduces a close-normalized ratio, providing a more realistic and comparable volatility measure across assets with different prices or trading regimes.
🔍 Calculation Methodology
SMA 14 → short-term reference
SMA 90 → medium-term reference
Normalized Volatility
Volatility 14 = (Ratio / SMA14) × 100
Volatility 90 = (Ratio / SMA90) × 100
These two curves show whether current volatility is below, near, or above its historical norm.
🎨 Color Zones (Market Context)
The background color dynamically reflects volatility conditions, allowing immediate visual interpretation:
🟢 Green – Low volatility / stable environment
🟡 Yellow – Moderate volatility
🟠 Orange – High volatility
🟤 Brown – Very high volatility / caution zone
🔴 Red – Extreme volatility / elevated risk
The zones can be calculated using either the 14-period or 90-period volatility, depending on user preference.
📈 Practical Interpretation
Low volatility (green/yellow):
Favorable environment for trend-following strategies and structured entries.
Rising volatility (orange/brown):
Increased risk, potential breakouts, or exhaustion phases.
Extreme volatility (red):
Unstable market conditions, prone to sharp reversals, whipsaws, and emotional price action.
This indicator does not generate entry or exit signals. It is designed as a context and risk filter, helping traders decide when to trade and when to stay out.
Visual ATR Trailing StopVisual ATR Trailing Stop, that lets you select price and date from your screen
Gartley + RSI Div + CDC ActionZone Alert//@version=5
indicator("Gartley + RSI Div + CDC ActionZone Alert", overlay=true)
// --- 1. CDC Action Zone Logic ---
ema12 = ta.ema(close, 12)
ema26 = ta.ema(close, 26)
isBlue = close > ema12 and ema12 < ema26
isGreen = ema12 > ema26
cdcSignal = isBlue or isGreen
// --- 2. RSI Bullish Divergence Logic ---
rsiVal = ta.rsi(close, 14)
lbR = 5 // Lookback Left
rbR = 5 // Lookback Right
minLow = ta.pivotlow(rsiVal, lbR, rbR)
isDiv = false
if not na(minLow)
prevLow = ta.valuewhen(not na(minLow), minLow , 0)
prevPrice = ta.valuewhen(not na(minLow), low , 0)
if rsiVal > prevLow and low < prevPrice
isDiv := true
// --- 3. Gartley Approximation (D-Point Focus) ---
// ส่วนนี้ใช้ ZigZag พื้นฐานเพื่อหาจุดกลับตัว (Simplified for Alert)
sz = input.int(10, "ZigZag Sensitivity")
ph = ta.pivothigh(high, sz, sz)
pl = ta.pivotlow(low, sz, sz)
// เงื่อนไขรวม (Combo Strategy)
// ราคาอยู่ที่จุดต่ำสุดใหม่ (Potential D) + RSI ขัดแย้ง + CDC เริ่มเปลี่ยนสี
buyAlert = isDiv and cdcSignal and not na(pl)
// --- การแสดงผลบนกราฟ ---
plotshape(buyAlert, title="Gartley-CDC Buy", style=shape.labelup, location=location.belowbar, color=color.green, text="BUY SETUP", textcolor=color.white, size=size.small)
// วาดเส้น EMA สำหรับ CDC
plot(ema12, color=color.red, linewidth=1)
plot(ema26, color=color.blue, linewidth=1)
// --- ระบบการแจ้งเตือน (Alerts) ---
if buyAlert
alert("SPA Style Setup Found: Gartley D-Point + RSI Div + CDC Signal!", alert.freq_once_per_bar)
SMART TRADER Institutional Trend Engine ITESMART TRADER – Institutional Trend Engine (ITE)
Author: Jonathan Mwendwa Ndunge
Description:
The SMART TRADER Institutional Trend Engine (ITE) is a hedge-fund-grade trading indicator designed to identify high-probability trend continuation and reversal opportunities using Smart Money Concepts. It combines multi-timeframe Donchian Channel trend analysis, Change of Character (CHOCH) detection, Order Block (OB) validation, and Liquidity Sweep detection to filter only the most reliable market conditions.
Key Features:
Multi-Timeframe Trend Alignment:
HTF (2H) determines the overall market regime.
MTF (1H) confirms alignment across three Donchian channel periods (fast, medium, slow) to ensure structural consistency.
Refined CHOCH Logic:
Detects genuine shifts in market structure using recent swing highs and lows.
Bullish or bearish CHOCH is only confirmed when HTF and MTF trends align, reducing false signals.
Order Block Confirmation:
Validates institutional supply and demand zones before execution.
Detects bullish and bearish order blocks using historical lows/highs in open prices.
Liquidity Sweep Validation:
Identifies liquidity sweeps beyond recent highs or lows, ensuring entry in areas where institutions likely trigger orders.
Execution-Level Discipline:
Signals only trigger when all conditions are met: trend alignment, CHOCH, order block, and liquidity sweep.
Visual labels mark bullish and bearish execution zones directly on the chart.
Dashboard Overview:
Displays HTF regime, 1H alignment, and execution status for quick decision-making.
Use Case:
Ideal for day trading and short-term swing trading.
Works best when combined with proper risk-to-reward management (e.g., 1:2 RR).
Designed to reduce noise and enhance the probability of success by replicating institutional-style trade execution.
1m sweep entry helperThis script is designed to aid in sweep trades where the intention is to mean revert after grabbing sellside of buyside liquidity. This script specifically helps with identifying 1m pivot liquidity and targets for the trades.
Current Trade Holding Time (H:M:S)Purpose:
This TradingView Pine Script strategy tracks your current open trade and displays its holding time in a table on the chart’s bottom-left corner, updating live as each bar forms. It also optionally shows a label above the price with the current holding time in hours, minutes, and seconds.
Features:
Entry / Exit Logic:
Buy Condition: When the 9-period SMA crosses above the 21-period SMA.
Sell Condition: When the 9-period SMA crosses below the 21-period SMA.
(These are example conditions — you can replace them with your own strategy.)
Table Display:
Always visible in the bottom-left corner.
Columns:
Bars: Number of bars the trade has been open.
Days: Total days held (decimal).
Hours: Total full hours held.
Minutes: Remaining minutes.
Seconds: Remaining seconds.
Updates live while the trade is open.
Clears automatically when the trade closes.
Optional Chart Label:
Shows Hours:Minutes:Seconds above the highest price of the current bar.
Can be turned on/off using the Show Labels input.
Single Trade Tracking:
Only the current open trade is displayed.
Past trades are not recorded in the table, keeping it clean.
Time Calculation:
Uses time, the bar timestamp, for precise elapsed time.
Converts milliseconds to seconds, minutes, hours, and days for display.
Intended Use:
Traders who want to monitor exactly how long their open trade has been held.
Useful for scalping or swing trading, where holding time matters.
Works on any timeframe chart.
Borna High/Low📌 Borna High/Low
Borna High/Low is a clean and precise indicator that automatically plots the Asian session High and Low levels on GER40 (DAX) directly on the price chart.
It is designed for traders who use the Asian range as a liquidity zone and as a key reference for Frankfurt and London open trading strategies.
🔍 What this indicator does
Automatically calculates Asia High and Asia Low
Draws levels directly on the price chart (overlay)
Optional line extension to the right or both sides
Optional mid-line between High and Low
Session-end labels for clear visual reference
Stable plotting that does not shift when zooming
⏰ Session Settings
Default Asian session: 00:00 – 07:00
Fully customizable time window (e.g. 00:30 – 07:00)
Timezone support (recommended: Europe/Berlin for GER40)
⚙️ Customization
Line style: Solid / Dashed / Dotted
Line width
Extend mode: Right / Both / None
Toggle mid-line
Toggle session labels
📈 How to use
Use Asia High / Low as:
Liquidity targets
Range boundaries for London breakouts
Premium / Discount reference levels
Ideal for scalping and intraday trading on GER40
Cyberpunk Neural Flux■ Core Concept: The "Cyberpunk Neural Flux" is engineered based on the "Trend Template" logic favored by institutional growth investors and hedge funds.
It monitors the interaction between the 150 MA (The Institutional Baseline) and the 15 MA (High-Frequency Momentum). Large players often use the 150 MA as the "line in the sand" for a healthy trend. This indicator visualizes when short-term momentum aligns with this critical institutional baseline, while the "Noise Gate" filters out choppy price action that traps retail traders.
■ Visual Decoding (Candle Colors)
1. ⚪ WHITE (Reversal BUY)
・Context: Downtrend (Magenta Background).
・Trigger: Price breaks ABOVE the Upper Gate (Fast MA + ATR).
・Meaning: Strong momentum has overcome the downtrend resistance.
2. 🟡 GOLD (Reversal SELL)
・Context: Uptrend (Cyan Background).
・Trigger: Price breaks BELOW the Lower Gate (Fast MA - ATR).
・Meaning: Support has collapsed with strong momentum.
3. 🌑 GRAY (Neutral / Noise)
・Trigger: Price is trapped inside the "Noise Gate" (between Upper & Lower bands).
・Meaning: DO NOT TRADE. The market is indecisive or consolidating.
4. 🟦 CYAN / 🟪 MAGENTA (Trend Follow)
・Meaning: Trend is healthy and continuing outside the noise gate.
■ コンセプト: 「Cyberpunk Neural Flux」は、ヘッジファンドや機関投資家が重視する「トレンド・テンプレート」のロジックに基づいて設計されています。
彼らが「中期トレンドの生命線」として防衛する 150MA（ベースライン）と、短期アルゴリズムが反応する 15MA（モメンタム）の相互作用を監視します。大口投資家が意識するトレンド方向と、短期的な勢いが合致した瞬間のみを可視化し、「ノイズゲート」機能によって個人投資家が狩られやすいレンジ相場を徹底的に排除します。
■ 色の読み方（ローソク足）
1. ⚪ WHITE / 白（反転 - 買い）
・状況: 背景がマゼンタ（下落中）。
・条件: 価格が「15MA ＋ ノイズ幅」を上抜いた。
・意味: 単なるMAタッチではなく、明確な反発エネルギーが確認された状態。
2. 🟡 GOLD / 金（反転 - 売り）
・状況: 背景がシアン（上昇中）。
・条件: 価格が「15MA － ノイズ幅」を下抜いた。
・意味: 単なる押し目ではなく、サポートラインが明確に決壊した状態。
3. 🌑 GRAY / グレー（ノイズ - 待機）
・条件: 価格がゲートの内側（15MA付近）で推移している。
・意味: 「手出し無用」。方向感がなく、エネルギーを溜めている状態です。
4. 🟦 シアン / 🟪 マゼンタ（順張り）
・意味: トレンドが健全に継続中。
Manus KI TradingManus Machiene Learning Beast – Indicator Description
Settings
Use 1h Chart
Use Regime filter: 0.5
Use ADX 20
Use SMA 200
and be happy...
Overview
Manus Machiene Learning Beast is an advanced TradingView indicator that combines Machine Learning (Lorentzian Classification) with trend, volatility, and market regime filters to generate high-quality long and short trade signals.
The indicator is designed for rule-based, disciplined trading and works especially well for set-and-forget, semi-automated, or fully automated execution workflows.
⸻
Core Concept
At its core, the indicator uses a machine-learning model based on a modified K-Nearest Neighbors (KNN) approach.
Instead of standard Euclidean distance, it applies Lorentzian distance, which:
• Reduces the impact of outliers
• Accounts for market distortions caused by volatility spikes and major events
• Produces more robust predictions in real market conditions
The model does not attempt to predict exact tops or bottoms.
Instead, it estimates the probable price direction over the next 4 bars.
⸻
Signal Logic
Long Signals
A long signal is generated when:
• The ML model predicts a positive directional bias
• All enabled filters are satisfied
• A new directional change is detected (non-repainting)
• Optional trend filters (EMA / SMA) confirm the direction
• Optional kernel regression confirms bullish momentum
📍 Displayed as a green label below the bar
Short Signals
A short signal is generated when:
• The ML model predicts a negative directional bias
• Filters confirm bearish conditions
• A new directional change occurs
• Trend and kernel filters align
📍 Displayed as a red label above the bar
⸻
Filters & Components
All filters are modular and can be enabled or disabled individually.
1. Volatility Filter
• Avoids trading during extremely low or chaotic volatility conditions
2. Regime Filter (Trend vs Range)
• Attempts to filter out sideways markets
• Especially important for ML-based systems
3. ADX Filter (Optional)
• Trades only when sufficient trend strength is present
4. EMA / SMA Trend Filters
• Classic trend confirmation (e.g., 200 EMA / 200 SMA)
• Ensures trades are aligned with the higher-timeframe trend
5. Kernel Regression (Nadaraya-Watson)
• Smooths price behavior
• Acts as a momentum and trend confirmation filter
• Can be used in standard or smoothed mode
⸻
Moving Average Overlays
For visual market context, the indicator includes optional overlays:
• ✅ SMA 200
• ✅ HMA 200
Both can be toggled via checkboxes and are visual aids only, unless explicitly enabled as filters.
⸻
Exit Logic
Two exit methods are available:
1. Fixed Exit
• Trades close after 4 bars
• Matches the ML model’s training horizon
2. Dynamic Exit
• Uses kernel regression and signal changes
• Designed to let profits run in strong trends
⚠️ Recommended only when no additional trend filters are active.
⸻
Backtesting & Trade Statistics
The indicator includes an on-chart statistics panel showing:
• Win rate
• Total trades
• Win/Loss ratio
• Early signal flips (useful for identifying choppy markets)
⚠️ This is intended for calibration and optimization only, not as a replacement for full strategy backtesting.
⸻
Typical Use Cases
• Swing trading (M15 – H4)
• Rule-based discretionary trading
• Set-and-forget trading
• TradingView alerts → MT4/MT5 → EA execution
• Prop-firm trading (e.g. FTMO), with proper risk management
⸻
Important Disclaimer
This indicator:
• ❌ does not guarantee profits
• ❌ is not a “holy grail”
• ✅ is a decision-support and structure tool
It performs best when:
• Combined with strict risk management (e.g. ATR-based stops)
• Used in trending or expanding markets
• Executed with discipline and consistency
SMT Quarter theory - AMDX cycles and killzones.This indicator visualizes the Quarterly Theory (SMT / Smart Money Theory) concept anchored to New York time. The main daily cycle starts at 18:00 NY time and lasts exactly 24 hours — until 18:00 the next day (local NY time, automatically handling daylight saving time transitions).
Each 24-hour SMT day is divided into four 6-hour blocks:
18:00–00:00 (Asia Killzone)
00:00–06:00 (London Open)
06:00–12:00 (NY AM)
12:00–18:00 (NY PM)
Each 6-hour block is further subdivided into four 90-minute micro-cycles.
The indicator draws:
semi-transparent colored rectangles (boxes) for the 6-hour sessions using different colors and corresponding session names
lighter orange boxes for the 90-minute cycles inside each 6-hour block
vertical dashed lines at the boundaries of 6-hour sessions (different colors)
thin dotted lines at the boundaries of 90-minute cycles
a thick vertical line marking the end of the SMT day (next 18:00 NY)
text labels with the main session names placed above the chart
This indicator based on AMDX quarter theory - accumulation, manipulation, distribution, x (distribution or reversal). Use this indicator to improve your price movement understanding!
Этот индикатор предназначен для визуализации концепции Quarterly Theory (SMT / Smart Money Theory) с привязкой к нью-йоркскому времени. Основной цикл дня начинается в 18:00 по Нью-Йорку и длится ровно 24 часа — до 18:00 следующего дня (по местному времени NY, с автоматическим учётом перехода на летнее/зимнее время).
Каждый такой 24-часовой SMT-день делится на четыре 6-часовых блока:
18:00–00:00 (Asia Killzone)
00:00–06:00 (London Open)
06:00–12:00 (NY AM)
12:00–18:00 (NY PM)
Каждый 6-часовой блок, в свою очередь, разделён на четыре 90-минутных микроцикла.
Индикатор рисует:
полупрозрачные цветные прямоугольники (боксы) для 6-часовых сессий с разными цветами и соответствующими названиями
более светлые оранжевые боксы для 90-минутных циклов внутри каждого 6-часового блока
вертикальные пунктирные линии на границах 6-часовых сессий (разные цвета)
тонкие точечные линии на границах 90-минутных циклов
вертикальную жирную линию на конец SMT-дня (следующие 18:00 NY)
текстовые метки с названиями основных сессий над графиком
Shadow Mode Simulator ELITE🎮 SHADOW MODE SIMULATOR — FEATURE GUIDE
Think of this as GTA with rules instead of random driving.
🏆 1. A / A+ SETUP GRADING (QUALITY CONTROL)
Every entry is graded automatically:
✅ A+ Setup (best XP)
Must have:
• HTF trend aligned
• Liquidity sweep OR perfect pullback
• High confidence (4–5)
✅ A Setup (acceptable)
Must have:
• HTF trend aligned
• ONE valid strategy condition
⚠️ B Setup (allowed but low reward)
Everything else
❌ Invalid
Bad RR or no strategy → XP penalty
👉 This trains selectivity (most traders fail here)
🗺️ 2. AUTO SESSION HEATMAP
Background turns green during your trading session.
This teaches:
✔ When liquidity is real
✔ When NOT to trade
No more random midnight scalping.
😵 3. TILT DETECTOR
Triggers when:
• 2 losses in a row
• Or cooldown active
Shows:
⚠️ TILT WARNING
This is your psychology guardian.
(Pros stop trading here. Retail blows accounts here.)
🧠 4. STRATEGY-SPECIFIC VALIDATORS
You can toggle:
✅ Liquidity sweep trades
✅ Trend pullback trades
If you enter without one → ❌ punished.
This builds:
➡️ mechanical discipline
➡️ no random clicking
⏳ 5. EMOTIONAL COOLDOWN SYSTEM
After a loss:
• You are “locked” for X candles
• No rushing back in
This rewires revenge trading.
📊 6. LIVE PERFORMANCE ENGINE
Tracks:
• XP
• Level
• Win rate
• Win/loss streak
• Trade count
• Tilt state
• HTF bias
• Setup grade
You level up by:
👉 discipline — not profit
📈 LEVEL MEANING (IMPORTANT)
Level Skill State
1–2 Impulsive
3–4 Learning patience
5–6 Controlled
7–8 Consistent
9+ Pro-ready
You should NOT trade real money seriously before level 7.
🧪 FULL LIVE TUTORIAL — HOW TO USE IT
STEP 1 — SETUP
Open TradingView
Open chart you scalp (NIFTY/BTC/etc)
Add the Shadow Mode indicator
Set:
• Session time
• HTF timeframe
• Max trades
STEP 2 — MARKET OPENS
Your job first 10–15 mins:
❌ Do nothing
👀 Just watch structure
(This alone fixes overtrading)
STEP 3 — WHEN YOU SEE A SETUP
Ask:
✔ HTF aligned?
✔ Liquidity sweep or pullback?
✔ RR good?
If yes:
👉 Click 📥 ENTRY
You’ll see:
• Grade (A / A+)
• Entry marker
STEP 4 — MANAGE LIKE A ROBOT
Do NOT interfere.
Let:
• TP
• SL
• or invalidation happen
STEP 5 — EXIT
Click:
📤 EXIT when trade is done
System:
• Awards XP
• Updates streaks
• Tracks win rate
STEP 6 — IF YOU MESSED UP
Click:
❌ RULE BREAK
(Takes XP + activates cooldown)
This hurts — on purpose.
📆 PERFECT TRAINING DAY LOOKS LIKE:
✅ 1–2 A/A+ trades
✅ maybe 1 loss
✅ stop after cooldown
✅ XP positive
Even if P&L is flat.
That’s winning.
🚫 COMMON MISTAKES (DON’T DO THESE)
❌ Clicking entry emotionally
❌ Ignoring HTF bias
❌ Overtrading
❌ Chasing candles
❌ Skipping cooldown
The simulator is designed to punish these.
🧠 WHY THIS WORKS (SCIENCE SIDE)
This trains:
• Pattern recognition
• impulse control
• delayed gratification
• process over money
Same principles used in pilot & athlete simulators.
🎯 OPTIONAL HARD MODE (WHEN READY)
• Max 1 trade/day
• Only A+ setups
• Higher RR minimum
This accelerates mastery.
