"VPOC MonteCarlo Expected Value" โลโก้
VPOC MonteCarlo Expected Value
"VPOC MonteCarlo Expected Value" ภาพที่อัปโหลด
"VPOC MonteCarlo Expected Value" ภาพที่อัปโหลด
ตั้งแต่ 03/10/2024
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📊 VPOC MONTE CARLO EXPECTED VALUE

https://chartshots.spotware.com/c/69c558e2c68df


Integrated Market Analysis: Volume Profile + Statistical Projection 🎯


🎯 WHAT IS IT?


VPOC Monte Carlo Expected Value is a quantitative analysis indicator that combines two professional trading methodologies:

  • Market Depth Profile (VPOC) - Identifies where volume is truly concentrated 🏦
  • Monte Carlo Simulation - Projects future scenarios based on statistical probabilities 📈
    The result is an analysis system that tells you where the money is (Point of Control) and where it’s likely to go (projected Expected Value) 🧠

⚙️ HOW DOES IT WORK?


Module 1: Depth Profile (VPOC) 📊


The indicator analyzes the last 200 bars (configurable) and distributes volume across 30 price levels. It calculates:

  • Point of Control (PoC): The price with the highest traded volume - represents market consensus where buyers and sellers were most active ⚖️
  • Delta: Difference between buying vs selling pressure at each level 🔄
  • Heatmap: Visualization of activity concentration 🔥
    The logic: Price tends to revert toward the PoC because that’s where most pending liquidity resides. If price is far from the PoC, there’s a higher probability of return 🔄

Module 2: Statistical Projection (Monte Carlo) 🎲


Uses stochastic simulations (1,000 iterations by default) to project future price:

  • Calculates the asset’s historical trend and annualized volatility 📉📈
  • Generates random paths using a normal distribution (geometric Brownian motion model) 🌊
  • Estimates Expected Value with standard deviation bands (±1 sigma) 📏
    Formula applied:
  • Drift per bar = Annualized return / trading days 🧮
  • Volatility per bar = Annualized volatility / √days ⚡
  • Projection = Current price × e^(total drift + normal random × total volatility) 🔢

Module 3: Synergy 🔗


Combines both analyses to generate contextual signals:
Table
Signal Condition Meaning
BULLISH ↑ 🟢 Price > PoC + Positive projection Bullish trend confirmed by volume
BEARISH ↓ 🔴 Price < PoC + Negative projection Bearish trend confirmed by volume
OPPORTUNITY ★ 💡 Price < PoC + Positive projection Possible bounce from volume support
DIVERGENCE ⚠️ ⚠️ Price > PoC + Negative projection Warning of possible reversal

📈 WHAT IS IT USED FOR?
✅ Identify key volume levels - The PoC acts as a price magnet 🧲
✅ Estimate probabilities of success - Percentage of winning scenarios in the simulation 🏆
✅ Evaluate risk/reward - Projected Sharpe ratio and standard deviation 📊
✅ Confirm trade direction - Synergy between position relative to PoC and statistical momentum 🎯
✅ Target projection - Expected price levels for the defined hold period 🎯

🎮 CONFIGURATION AND USE
Main Parameters:
Table
Group Parameter Default Description
Depth Profile Analysis Period 200 bars History to calculate volume profile
Price Levels 30 Profile resolution (more levels = more detail) 🔍
Horizontal Offset 5 Profile position on the chart 📏
Statistical Projection Max Operation Duration 252 bars Time horizon of the projection ⏱️
Invested Capital $1,000 Base for monetary calculations 💰
Simulations 1,000 Number of random paths (more = more accurate, slower) 🔄
Risk-Free Rate 5% For Sharpe Ratio calculation 📉
Historical Strategy Use TP/SL No Activate to simulate with fixed targets 🎯
How to Interpret the Results Table:
plain
Copy
EXPECTED VALUE STATISTICS
┌──────────────┬─────────┬─────────┬─────────┬────────┐
│ Method │ $ Amount│ % Return│ Win Rate│ Sharpe │
├──────────────┼─────────┼─────────┼─────────┼────────┤
│ Historical │ -$19.56 │ -1.96% │ 47.2% │ -1.24
│ Simulation │ -$54.05 │ -5.40% │ 21.4% │ -4.95
└──────────────┴─────────┴─────────┴─────────┴────────┘

  • Historical: Average performance of similar past trades 📜
  • Simulation: Average result of the 1,000 Monte Carlo simulations 🎲
  • Win Rate: Percentage of scenarios with positive outcome ✅
  • Sharpe: Risk-adjusted return (greater than 1 is good, negative is bad) 📈

🖼️ Visual Elements on the Chart
Table
Element Color Meaning
Volume profile Orange/blue gradient Activity concentration by price level 🎨
PoC line Blue dotted Point of Control projected into the future 🔵
EV projection line Green/Magenta Expected price trajectory 🟢🔴
±1σ band White dotted lines 68% confidence range 📊
Historical EV line Green dotted Expected value based on historical data 🟢
Projection zone Translucent blue fill Probability area between bands 🔵

⚠️ IMPORTANT - Limitations

  • Not a buy/sell signal - It’s a probabilistic analysis tool 🛠️
  • Monte Carlo simulations assume historical distribution holds (does not predict black swan events) 🦢❌
  • The PoC is dynamic - Recalculates on each new bar 🔄
  • Requires sufficient history - Minimum 252 bars for reliable projections 📊
  • Cryptocurrencies - The indicator automatically adjusts to 365 annual trading days vs 252 for traditional markets 🪙

💡 Recommended Usage Strategy

  • Look for OPPORTUNITY ★ 💡 - Price below PoC but with positive projection (possible undervaluation)
  • Confirm with Win Rate > 50% - Higher statistical probability of success ✅
  • Avoid DIVERGENCE ⚠️ ⚠️ - Overvalued price relative to actual volume
  • Use PoC as a reference - Stops or targets around this liquidity level 🎯
  • Compare Historical vs Simulation - If they differ greatly, the market regime is changing 🔄

 

 

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