ุดุนุงุฑ "VPOC MonteCarlo Expected Value"
VPOC MonteCarlo Expected Value
ุตูˆุฑุฉ "VPOC MonteCarlo Expected Value" ุงู„ู…ุญู…ู„ุฉ
ุตูˆุฑุฉ "VPOC MonteCarlo Expected Value" ุงู„ู…ุญู…ู„ุฉ
ู…ู†ุฐ 03/10/2024
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๐Ÿ“Š VPOC MONTE CARLO EXPECTED VALUE

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


Integrated Market Analysis: Volume Profile + Statistical Projection ๐ŸŽฏ


๐ŸŽฏ 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 ๐Ÿฆ
  • Monte Carlo Simulation - Projects future scenarios based on statistical probabilities ๐Ÿ“ˆ
    The result is an analysis system that tells you where the money is (Point of Control) and where itโ€™s likely to go (projected Expected Value) ๐Ÿง 

โš™๏ธ HOW DOES IT WORK?


Module 1: Depth Profile (VPOC) ๐Ÿ“Š


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 โš–๏ธ
  • Delta: Difference between buying vs selling pressure at each level ๐Ÿ”„
  • Heatmap: Visualization of activity concentration ๐Ÿ”ฅ
    The logic: Price tends to revert toward the PoC because thatโ€™s where most pending liquidity resides. If price is far from the PoC, thereโ€™s a higher probability of return ๐Ÿ”„

Module 2: Statistical Projection (Monte Carlo) ๐ŸŽฒ


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

  • Calculates the assetโ€™s historical trend and annualized volatility ๐Ÿ“‰๐Ÿ“ˆ
  • Generates random paths using a normal distribution (geometric Brownian motion model) ๐ŸŒŠ
  • Estimates Expected Value with standard deviation bands (ยฑ1 sigma) ๐Ÿ“
    Formula applied:
  • Drift per bar = Annualized return / trading days ๐Ÿงฎ
  • Volatility per bar = Annualized volatility / โˆšdays โšก
  • Projection = Current price ร— e^(total drift + normal random ร— total volatility) ๐Ÿ”ข

Module 3: Synergy ๐Ÿ”—


Combines both analyses to generate contextual signals:
Table
Signal Condition Meaning
BULLISH โ†‘ ๐ŸŸข Price > PoC + Positive projection Bullish trend confirmed by volume
BEARISH โ†“ ๐Ÿ”ด Price < PoC + Negative projection Bearish trend confirmed by volume
OPPORTUNITY โ˜… ๐Ÿ’ก Price < PoC + Positive projection Possible bounce from volume support
DIVERGENCE โš ๏ธ โš ๏ธ Price > PoC + Negative projection Warning of possible reversal

๐Ÿ“ˆ WHAT IS IT USED FOR?
โœ… Identify key volume levels - The PoC acts as a price magnet ๐Ÿงฒ
โœ… Estimate probabilities of success - Percentage of winning scenarios in the simulation ๐Ÿ†
โœ… Evaluate risk/reward - Projected Sharpe ratio and standard deviation ๐Ÿ“Š
โœ… Confirm trade direction - Synergy between position relative to PoC and statistical momentum ๐ŸŽฏ
โœ… Target projection - Expected price levels for the defined hold period ๐ŸŽฏ

๐ŸŽฎ 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) ๐Ÿ”
Horizontal Offset 5 Profile position on the chart ๐Ÿ“
Statistical Projection Max Operation Duration 252 bars Time horizon of the projection โฑ๏ธ
Invested Capital $1,000 Base for monetary calculations ๐Ÿ’ฐ
Simulations 1,000 Number of random paths (more = more accurate, slower) ๐Ÿ”„
Risk-Free Rate 5% For Sharpe Ratio calculation ๐Ÿ“‰
Historical Strategy Use TP/SL No Activate to simulate with fixed targets ๐ŸŽฏ
How to Interpret the Results Table:
plain
Copy
EXPECTED VALUE STATISTICS
โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚ Method โ”‚ $ Amountโ”‚ % Returnโ”‚ Win Rateโ”‚ Sharpe โ”‚
โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
โ”‚ Historical โ”‚ -$19.56 โ”‚ -1.96% โ”‚ 47.2% โ”‚ -1.24 โ”‚
โ”‚ Simulation โ”‚ -$54.05 โ”‚ -5.40% โ”‚ 21.4% โ”‚ -4.95 โ”‚
โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜

  • Historical: Average performance of similar past trades ๐Ÿ“œ
  • Simulation: Average result of the 1,000 Monte Carlo simulations ๐ŸŽฒ
  • Win Rate: Percentage of scenarios with positive outcome โœ…
  • Sharpe: Risk-adjusted return (greater than 1 is good, negative is bad) ๐Ÿ“ˆ

๐Ÿ–ผ๏ธ Visual Elements on the Chart
Table
Element Color Meaning
Volume profile Orange/blue gradient Activity concentration by price level ๐ŸŽจ
PoC line Blue dotted Point of Control projected into the future ๐Ÿ”ต
EV projection line Green/Magenta Expected price trajectory ๐ŸŸข๐Ÿ”ด
ยฑ1ฯƒ band White dotted lines 68% confidence range ๐Ÿ“Š
Historical EV line Green dotted Expected value based on historical data ๐ŸŸข
Projection zone Translucent blue fill Probability area between bands ๐Ÿ”ต

โš ๏ธ IMPORTANT - Limitations

  • Not a buy/sell signal - Itโ€™s a probabilistic analysis tool ๐Ÿ› ๏ธ
  • Monte Carlo simulations assume historical distribution holds (does not predict black swan events) ๐ŸฆขโŒ
  • The PoC is dynamic - Recalculates on each new bar ๐Ÿ”„
  • Requires sufficient history - Minimum 252 bars for reliable projections ๐Ÿ“Š
  • Cryptocurrencies - The indicator automatically adjusts to 365 annual trading days vs 252 for traditional markets ๐Ÿช™

๐Ÿ’ก Recommended Usage Strategy

  • Look for OPPORTUNITY โ˜… ๐Ÿ’ก - Price below PoC but with positive projection (possible undervaluation)
  • Confirm with Win Rate > 50% - Higher statistical probability of success โœ…
  • Avoid DIVERGENCE โš ๏ธ โš ๏ธ - Overvalued price relative to actual volume
  • Use PoC as a reference - Stops or targets around this liquidity level ๐ŸŽฏ
  • Compare Historical vs Simulation - If they differ greatly, the market regime is changing ๐Ÿ”„

 

 

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