"Price Projection Dynamic" logo
Indicator
129 downloads
Version 1.0, Apr 2026
Windows, Mac
4.0
Reviews: 1
"Price Projection Dynamic" uploaded image
"Price Projection Dynamic" uploaded image
"Price Projection Dynamic" uploaded image
"Price Projection Dynamic" uploaded image
Since 03/10/2024
147
Sales
33.88K
Free installs

Price Projection Dynamic ๐Ÿ“ˆ๐Ÿ”ฎ

https://chartshots.spotware.com/c/69d5304ea1cc1

What Is It?

https://chartshots.spotware.com/c/69d52fb4b01cd

Price Projection Dynamic is an overlay indicator that projects statistically probable future price paths using Monte Carlo simulation and evaluates directional bias through a Bayesian probability classifier. It answers one question: given how this asset has been moving, where is it statistically likely to go next? ๐Ÿ“Š

https://chartshots.spotware.com/c/69d53010d38ce

How It Works โš™๏ธ

Engine 1 โ€” Monte Carlo Projection ๐ŸŽฒ

The indicator analyzes recent price history and extracts logarithmic returns. It calculates the average return and its standard deviation โ€” capturing both the asset's drift (tendency) and volatility (erratic movement) ๐ŸŒช๏ธ.

It runs 200 simulated price paths (up to 500) into the future. Each simulation is a "random walk" based on real recent action. From these, the indicator extracts 5 percentile bands:

Band

Meaning

95%

Optimistic extreme โ€” only 5% of simulations went higher ๐Ÿš€

75%

Upper probable range โ€” price ended above this in 25% of sims ๐Ÿ“ˆ

50% (MD)

Median projection โ€” the statistical center of all outcomes ๐ŸŽฏ

25%

Lower probable range โ€” price ended below this in 25% of sims ๐Ÿ“‰

05%

Pessimistic extreme โ€” only 5% of simulations went lower ๐Ÿ“‰๐Ÿ›‘

Pro Tip: The wider the fan opens, the higher the current volatility ๐Ÿ“ข. A tight fan means the asset is moving predictably ๐Ÿงต.

Engine 2 โ€” Bayesian Classifier ๐Ÿง 

Independent from the projection, this engine classifies the market as bullish or bearish by:

  1. Looking back over a window (default 500 bars) ๐Ÿ”.
  2. Measuring relative volume and momentum for bullish vs. bearish bars.
  3. Calculating which profile the current bar fits better using Gaussian probability โš–๏ธ.

The result is a win probability percentage:

Probability

Interpretation

> 70%

High bullish confidence โœ…๐ŸŸข

50โ€“70%

Moderate / unclear โš–๏ธ๐ŸŸก

< 30%

High bearish confidence โœ…๐Ÿ”ด

Visual Elements ๐ŸŽจ

  • Green lines (75%, 95%): Upper projection bands โ€” bullish range ๐Ÿ
  • White line (MD): Median projected price โ€” most probable path ๐Ÿ
  • Orange lines (25%, 05%): Lower projection bands โ€” bearish range ๐ŸŠ
  • Dotted outer lines: 95% and 05% extremes (low probability boundaries) โš ๏ธ
  • Solid inner lines: 75%, 50%, 25% (high probability zone) โœ…
  • Price labels: Exact projected price for each percentile ๐Ÿท๏ธ
  • Info panel (top-right): Bayesian win probability, median target, relative volume, signal direction ๐Ÿ–ฅ๏ธ

How To Use ๐Ÿ“–

  1. Read the fan shape ๐Ÿ“ข โ€” If it expands rapidly, volatility is high and projections are less certain.
  2. Use the median (MD) line ๐ŸŽฏ as the most statistically probable future price target.
  3. Use 75%/25% bands ๐Ÿ“ as realistic upper/lower targets for trades.
  4. Use 95%/05% bands ๐Ÿ›‘ as extreme boundaries โ€” useful for stop loss placement.
  5. Check the Bayesian panel ๐Ÿง  โ€” A probability above 70% or below 30% adds directional conviction.
  6. Combine both engines ๐Ÿค โ€” If the median line slopes upward AND Bayesian probability is > 70%, the setup is statistically strong.

Key Parameters โš™๏ธ

Parameter

What It Controls

Higher Value

Lower Value

Iterations

Number of simulated paths

Smoother bands ๐ŸŒŠ

Faster computation โšก

Lookahead

Future projection distance

Longer horizon ๐Ÿ”ญ

Shorter, more reliable ๐Ÿ”

Sample Depth

Recent bars to analyze

Long-term behavior ๐Ÿข

Recent behavior only ๐Ÿ‡

Classifier Window

Bayesian history

Stabler probability โš–๏ธ

More reactive โšก

Indicator Profile ๐Ÿ“‹

  • Indicator category: Statistics ๐Ÿ“Š
  • Output type: Visualisation & Signals ๐Ÿ–ผ๏ธ
  • Data requirements: Bars only ๐Ÿ“ถ

Disclaimer โš ๏ธ

This indicator projects statistical probabilities, not predictions ๐Ÿ”ฎ. Monte Carlo simulations assume the future will look like the recent past โ€” this breaks during black swan events ๐Ÿฆข or news-driven gaps. Use as a probabilistic framework alongside your own risk management ๐Ÿ›ก๏ธ.

Indicator profile
Indicator category
Statistics
Output type
Visualisation
Signals
Data requirements
Bars only
Volume
Supported signals
Trend strength
Volatility
4.0
Reviews: 1
5
0 %
4
100 %
3
0 %
2
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1
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Customer reviews
April 19, 2026
Price Projection Dynamic combines Monte Carlo simulations with a Bayesian classifier to estimate future price ranges and directional bias. It provides a probabilistic view of the market rather than fixed signals. Useful for understanding volatility and potential targets, but should be used alongside a solid trading framework. Not a standalone decision tool.
BTCUSD
Signal
EURUSD
GBPUSD
NZDUSD
XAUUSD
NAS100
USDJPY
Products available through cTrader Store, including trading bots, indicators and plugins, are provided by third-party developers and made available for informational and technical access purposes only. cTrader Store is not a broker and does not provide investment advice, personal recommendations or any guarantee of future performance.

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