Billion School - AI Chart AnalyserBillion School – AI Chart Analyser
Billion School – AI Chart Analyser is an advanced AI-powered market analysis tool designed to read and interpret charts in real time with a single click. It automatically analyzes SMC (Smart Money Concepts), price action, candlestick structure, liquidity zones, order blocks, Fair Value Gaps (FVG), and trading sessions, helping traders understand the market clearly without clutter or confusion.
This analyser converts complex market data into easy-to-understand insights, allowing traders to see where smart money is active, where liquidity is resting, and how price is likely to react. It works seamlessly across all markets and timeframes, making it suitable for forex, crypto, indices, commodities, and equities.
Key Capabilities
One-click AI chart analysis
Smart Money Concepts (SMC) detection
Price action & candlestick structure analysis
Liquidity zones, Order Blocks & FVG identification
Session-based market behavior (Asia, London, New York)
Works on all markets and multiple timeframes
This tool is provided for educational and trial purposes only. It does not offer guaranteed results and should not be used as financial advice. Users are encouraged to learn the logic behind the analysis and apply proper risk management before trading.
Billion School – AI Chart Analyser helps you see the market like professionals, turning complex analysis into simple, actionable clarity — all in one click.
Candlestick analysis
Billion School - AI Master Strategy Billion School – AI Master Strategy is an AI-powered TradingView indicator created to help traders identify high-probability trading opportunities with better clarity and discipline. Built using advanced AI logic and refined technical models, this strategy supports traders in understanding market structure, trend direction, and momentum across multiple timeframes.
This indicator is provided strictly for trial and educational purposes. Do not use this strategy on a real trading account without proper authorization and guidance from Billion School.
During the trial period, we don’t just give signals — we teach you how to trade like this indicator. Our focus is on helping traders understand the logic behind entries, exits, and confirmations so they can trade confidently and responsibly.
What You Will Learn
How the indicator identifies market direction and trends
Clear Buy & Sell logic used by the strategy
Basics of entry, stop-loss, and target planning
How risk–reward ratios are calculated and applied
Core principles of risk management and trade discipline
This indicator does not guarantee profits and should not be considered financial advice. Trading involves risk, and losses may occur. Always trade with proper risk management and only after understanding the strategy.
Price fluctuations + yesterday's FIB replenishment + hunting tip價格波動 + 昨日FIB回補 + 獵取提示(TABLE固定角落)
Price fluctuations + yesterday's FIB replenishment + hunting tips (table fixed corner)
BTC 4H Sharpe ratio: 1.57Backtesting Data Conclusions:
Backtesting Period: March 3, 2020 – February 4, 2026
Initial Capital: 1000 USDT
Net Profit: +157,717.59 USDT (approximately +15,771.76%)
Buy & Hold Return: +9,590.26 USDT (approximately +959.03%)
→ The strategy significantly outperformed buy & hold (during the same period).
Maximum Equity Drawdown: 6,671.78 USDT (7.94%)
→ The drawdown level is relatively mild for this type of high-frequency/scalping strategy, indicating that the overall equity curve is relatively smooth.
Profit Factor: 2.083
Sharpe Ratio: 1.547
Total Trades: 1446
Win Rate: 83.75% (1211 profitable trades / 235 losing trades)
Net Profit from Long Positions: +76,605.15; Net Profit from Short Positions: +81,112.45
→ Profitable on both long and short positions, with a slightly larger contribution from short positions.
Suggested Trading Timeframe: 4H
BTC Sharpe Ratio Test: 1.5747
ETH Sharpe Ratio Test: 1.0
SOL Sharpe Ratio Test: 1.093
XRP Sharpe Ratio Test: 1.11
Suggested Leverage: 4-5x
Trading Instruments: BTC, ETH, SOL, XRP
Adaptive Market Structure StrategyAdaptive Market Structure Strategy is a rule-based trading strategy designed to participate in sustained market trends by reacting to confirmed changes in market structure rather than predicting price direction. The strategy adapts to varying volatility conditions and prioritizes capital protection through systematic risk management. It is calibrated for Gold (XAUUSD) and also works effectively on major cryptocurrencies such as Bitcoin (BTC) and Ethereum (ETH) when applied to liquid markets and appropriate timeframes.
The strategy identifies market structure using swing-based Support and Resistance derived from confirmed pivot highs and lows. Break of Structure and Change of Character events are used to detect directional shifts. Structure signals are filtered using normalized volatility to reduce false breakouts during low-energy market conditions. Structure-aligned price gaps filtered by ATR are optionally used as continuation signals.
Trend bias is controlled using SuperTrend. When enabled, trades are allowed only in the direction of the prevailing trend, reducing counter-trend exposure. Optional SuperTrend flip exits act as higher-level trend failure protection during sharp reversals.
Trade execution is controlled by multiple anti-churn mechanisms, including minimum bars between entries, maximum entries per bar, and cooldown periods after volatility-based exits. These controls are designed to limit over-trading during ranging or highly volatile conditions.
Risk management is handled using ATR-based exits. The strategy supports fixed ATR stops, trailing ATR stops, or a combination of both. Percentage-based ATR calculations are available to maintain consistency across different price levels and instruments. Optional volume-based exits close positions during abnormal participation, such as low-volume continuation failure or strong opposite-direction volume spikes. An optional take-profit lock module can secure gains once a predefined unrealized profit threshold is reached.
Session filtering is available to restrict trading to specific hours, with an optional force-close feature outside the defined session. This functionality is primarily intended for traders who prefer time-restricted exposure.
Liquidation zones are displayed for visual reference only. These zones are calculated using an assumed leverage model and do not influence trade execution or risk management.
The strategy uses a fixed position size of one contract for evaluation purposes. Commission and slippage settings are calibrated for Gold (XAUUSD). When used on Bitcoin, Ethereum, or other markets, users should adjust commission, slippage, and position sizing to reflect their broker or exchange conditions.
This strategy is designed for higher-timeframe trend participation, particularly on H1 and H4 charts. It is not intended for scalping or high-frequency trading. The system favors confirmation, adaptability, and risk control over early entries or maximum profit capture.
This script is provided for educational and research purposes only and does not constitute financial advice. Past performance does not guarantee future results.
Amd range by danAmd Range – Multi-Timeframe Volatility Breakout Scanner
Overview
Amd Range automatically detects price compression structures (Inside Bars) and alerts traders in real-time when price breaks out of the established range. The indicator monitors multiple timeframes simultaneously and can track up to 5 symbols from a single chart.
Core Methodology – What This Script Does
This indicator is based on the classic Inside Bar pattern — a volatility contraction setup where a candle's high and low are contained entirely within the previous candle's range.
Detection Logic:
Master Bar Identification: On each bar close, the script checks if the current candle qualifies as an Inside Bar:
Current High < Previous High
Current Low > Previous Low
When this condition is true, the previous candle becomes the "Master Bar", and its high/low levels define the active range.
Real-Time Breakout Detection: Once a range is established, the indicator monitors every tick (not just bar closes) for a breakout:
Bullish Breakout: Current price exceeds the Master Bar High → triggers BUY signal
Bearish Breakout: Current price drops below the Master Bar Low → triggers SELL signal
One-Shot Alert System: Each range produces exactly one alert. Once broken, the range is deactivated and no further alerts fire until a new Inside Bar forms and subsequently breaks.
Multi-Timeframe Scanning
The indicator uses request.security() to scan six higher timeframes simultaneously:
M30, H1, H2, H4, H8, H12
Each timeframe maintains independent state tracking, so a breakout on H4 does not affect H1 detection.
Dashboard Display
The built-in table displays real-time status for each symbol/timeframe combination:
RNG (Gray): Active range – volatility contraction in progress
BUY (Green): Bullish breakout detected
SELL (Red): Bearish breakout detected
- (Dark): No active pattern
How to Use
Add the indicator to any chart
Configure symbols in the "Extra Symbols" input group to monitor additional assets
Enable/disable timeframes in the "Timeframe Alerts" input group
Create a TradingView alert with the condition "Any alert() function call"
Trade the breakout — BUY signals indicate price has cleared resistance; SELL signals indicate price has broken support
Inputs
Show Range Lines: Toggle horizontal lines marking Master Bar high/low
Show BUY/SELL Labels: Toggle visual labels at breakout points
Show Dashboard Table: Toggle the multi-symbol status table
Range Line Color: Customize line color
Timeframe Toggles (M30–H12): Enable/disable alerts per timeframe
Symbol 1–4: Additional symbols to monitor
Important Notes
Alerts fire immediately on breakout (no waiting for candle close)
Only one alert per range – no repeat signals
Designed for forex, crypto, and futures markets
Works on all standard chart types
Farjeat Perfect Buy/SeelEntradas y salidas perfectas en compras y ventas, úsalas para mejorar tu efectividad.
Ai Trading Entry ALGO Diamond by KBStill guessing entries? Still buying tops or selling bottoms and watching price move against you immediately? That’s not bad luck — that’s bad timing. And this script is built to fix exactly that.
Most traders lose because they don’t know when to enter. They chase candles, rely on lagging indicators, or trade pure emotion. This indicator removes the guesswork by doing the heavy lifting for you — identifying when momentum is real, when volume confirms the move, and when price is actually ready to break or reverse.
Built around a proven ATR-based trailing stop, this script first defines market direction, then waits for EMA 9 / EMA 21 trend alignment, volume expansion, and price-based confirmation before printing a signal. No random arrows. No hindsight indicators. No repainting tricks. Just clear, rule-based buy and sell signals designed to keep you on the right side of the move.
Fast market drops — like violent NQ and ES opens — don’t get ignored. A built-in strong-move override detects aggressive momentum so you’re not left watching the move after it already happened.
With optimized presets for NQ, ES, Gold, and Crypto, this single script adapts across markets and conditions — whether you scalp or trade intraday. The goal is simple: fewer trades, better entries, less emotional damage, and more consistency.
If you’re tired of second-guessing every click, sick of entering trades that instantly go red, and ready to stop trading on hope — this is the tool you’ve been missing.
MES ORB A+ (Pullback Entry)opening range breakout with pullback entry on future charts to get the perfect entry everytime
Ai Trading Entry Buy/Sell indicator - Diamond ALGO by KBStill guessing entries? Tired of clicking buy or sell only to watch price instantly move against you? That’s not bad luck — it’s bad timing. This script fixes that.
Most traders lose because they enter too early, chase moves too late, or trade without confirmation. This indicator removes the guesswork by doing the heavy lifting for you — identifying when momentum is real, when volume is backing the move, and when price is actually ready to break.
Built around an ATR-based trailing stop, this script defines direction first, then waits for EMA 9 / EMA 21 trend alignment, volume expansion, and breakout confirmation before printing a signal. No random arrows. No lagging nonsense. Just clear, rule-based entries designed to keep you out of chop and on the right side of the move.
Fast market drops — like the NQ and ES cash open — don’t get ignored. A strong-move override detects aggressive selling pressure so you’re not left watching the move after it already happened.
Optimized presets for NQ, ES, Gold, and Crypto allow this single script to adapt across markets and timeframes. Whether you scalp or trade intraday, the goal is the same: fewer trades, better entries, and less emotional damage to your account.
If you’re tired of second-guessing every entry, sick of death-by-a-thousand-small-losses, and ready to trade with structure instead of hope — this is the tool you’ve been missing.
FVG with MTF & Alerts (Separated)Multi-Timeframe Fair Value Gap (FVG) Indicator
This script displays Fair Value Gaps (FVGs) from multiple timeframes directly on your chart, allowing you to analyze higher-timeframe market structure while trading on lower timeframes.
It helps traders identify institutional inefficiencies and key reaction zones by visualizing bullish and bearish FVGs across selected timeframes.
🔹 Key Features
Displays multi-timeframe FVGs on a single chart
Supports both bullish and bearish FVG detection
Customizable timeframe inputs
Optional visibility settings for each timeframe
Alert system included:
Alerts for all FVG formations
Separate alerts for bullish FVGs
Separate alerts for bearish FVGs
🔔 Alerts
You can enable alerts for:
Any newly formed FVG
Bullish FVG formations only
Bearish FVG formations only
This allows you to stay notified of potential trading opportunities without constantly monitoring the chart.
📈 How to Use
Use higher-timeframe FVGs (such as 1H, 4H, or Daily) for directional bias and key zones
Use lower-timeframe FVGs for precise entries
Combine with market structure, liquidity, or ICT concepts for best results
Higher-timeframe FVGs generally act as stronger support/resistance zones, while lower-timeframe FVGs are better suited for execution.
⚠️ Disclaimer
This indicator is intended for educational and analytical purposes only and should not be considered financial advice. Always apply proper risk management.
ETH 1HR backtested Sharpe ratio 1.9Backtesting Data Conclusions:
Backtesting Period: 2023-01-01 ~ 2026-02-04
Initial Capital: 100 USDT
Net Profit: +941.03 USDT (approx. +941%)
Buy & Hold Profit: +71.25 USDT (approx. +71%)
→ The strategy significantly outperformed buy & hold (within the same period).
Maximum Net Value Drawdown: 20.44% (Closing-to-Closing)
Profit Factor: 2.074
Sharpe Ratio: 1.924
Total Trades: 2257
Win Rate: 86.71% (1957 profitable trades / 300 losing trades)
Long Position Net Profit: +425.45; Short Position Net Profit: +515.57
→ Profitable on both long and short positions, with short positions contributing more.
This data set is a relatively impressive combination within the "high-frequency strategy" framework: high win rate + profit factor > 2 + drawdown of approximately 20% + Sharpe ratio close to 2.
Trading timeframe: 1 hour
Suggested leverage: 4-5x
Suggested trading instruments:
DOGE (backtested Sharpe ratio 1.0);
SOL (backtested Sharpe ratio 0.9);
ETH (backtested Sharpe ratio 1.9);
TCT Trends Dashboard with all time frame trends. Use to see where the ticker has been and where its heading!
IAN'S SMTHow to fix it (pick ONE)
✅ Option A — Treat MNQ as NQ (recommended)
If MNQ should behave identically to NQ:
isNQ = chartNorm == symA_norm or chartNorm == "MNQ1"
or more robust:
isNQ = str.contains(chartNorm, "NQ")
That makes:
NQ1!
MNQ1!
NQH2026
all map to index 0
✅ Option B — Add MNQ as its own symbol (clean but heavier)
Add a 4th symbol slot:
symD = input.symbol("MNQ1!", "Symbol D")
Then:
Update N_SYMS
Add high_i(3), low_i(3)
Expand every SMT array
This works but is a lot of refactoring
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.
GEX ICT FVG IFVGGamma Exposure (GEX) is a powerful tool for evaluating market conditions and potential price movements. It helps traders understand the dynamics of options markets and how large players, such as market makers, hedge their positions.
What is Gamma Exposure (GEX)?
Gamma Exposure, also known as Gamma Levels, measures the rate of change in an option's delta concerning changes in the price of the underlying asset. It highlights price levels with significant gamma, indicating areas where market makers might need to adjust their hedges to manage risk. These hedging activities can influence support and resistance levels in the market.
GEX ICT FVG/IFVGGamma exposure (GEX) in finance refers to the collective sensitivity of market makers to price changes, indicating whether they need to buy (stabilizing) or sell (amplifying) an asset as its price moves, impacting volatility and potential price ranges, especially around key option strike prices; it's a key indicator for options traders, contrasting with the physical hazard of gamma rays. High positive GEX means market makers buy low/sell high (dampening moves), while negative GEX means they buy high/sell low (amplifying moves), often leading to "gamma pinning" near expiration.
GEX + FVG/IFVG Gex Levels plus basic ICT FVG and Inverted FVG. Gamma exposure (GEX) in finance refers to the collective sensitivity of market makers to price changes, indicating whether they need to buy (stabilizing) or sell (amplifying) an asset as its price moves, impacting volatility and potential price ranges, especially around key option strike prices; it's a key indicator for options traders, contrasting with the physical hazard of gamma rays. High positive GEX means market makers buy low/sell high (dampening moves), while negative GEX means they buy high/sell low (amplifying moves), often leading to "gamma pinning" near expiration.
Order Block Range V1Automatically identifies and displays Order Block zones based on reversal patterns. After 3+ consecutive candles of the same color followed by an opposite-colored candle, the indicator draws two horizontal lines marking the OB range. Features customizable display limits, colors, arrows, and line lengths.
Intervalo de la confianza T.JODEN V2This tool is completely free to use.
En español mas abajo para leer.
"Bitcoin Tower Trading Learning BTTL". This is my YouTube channel.
This confidence interval is calculated using VWMA-10 instead of the standard confidence interval, which in statistics uses the moving average (SMA).
Using VWMA places more emphasis on its movement in relation to volume.
There are several timeframes for the confidence interval, and users don't have to pay extra for the number of indicators.
The 10-period confidence interval is most effective on 1-hour and 4-hour timeframes for Bitcoin. However, it is always recommended to use ADX and its Di+/D- for greater entry confidence. This is not investment or trading advice. Try it out, and if you find it effective, enjoy it.
Stay tuned to YouTube, where I'll let you know when a new project will be released to the public, because I'm still studying Pinscript and developing new projects.
Este trabajo es totalmente gratis su uso.
"Bitcoin Tower Trading Learning BTTL". Este es mi canal en YOUTUBE.
Este Intervalo de la confianza es calculado con VWMA-10 en ves del normal Intervalo de la confianza que en estadistica se usa la MEDIA MOVIL en ingles sma.
Usando VWMA se le pone mas infacis a su movimiento con su volumen.
Hay varias temporalidades del Intervalo de la confianza cual los usiarios no tienen que pagan un dinero extra por cantidad de indicadores.
EL intervalo de la confianza temporalidad de 10 es mas efectivo en temporalidad de 1 hora y 4 horas en BITCOIN. Pero se recomiendo siempre usar ADX y su Di+ D- para tener mas seguridad en entrada.
En ningun momento es consejo de inversion ni de trading. Pruevelo y si mira que es efectivo para su uso disfrutelo.
Mantengase en sintonia en YOUTUBE que alli le dire cuando un nuevo trabajo sera puesto en publico uso, porque sigo estudiando pinescript y elavorando nuevos trabajos.





















