Auto stash before merge of "main" and "origin/main"

This commit is contained in:
Miha Kralj
2024-10-08 18:49:28 -07:00
parent e3f4459034
commit c2c3bdda15
2 changed files with 42 additions and 31 deletions
+18 -7
View File
@@ -51,23 +51,34 @@ public class EventingTests
};
// Generate 200 random values and feed them to both direct and event-based indicators
for (int i = 0; i< 200; i++)
for (int i = 0; i < 200; i++)
{
double randomValue = GetRandomDouble(rng) * 100;
<<<<<<< HEAD
input.Add(randomValue);
=======
input.Add(randomValue);
>>>>>>> dev
// Calculate direct indicators
foreach (var (direct, _) in indicators)
{
direct.Calc(randomValue);
}
}
}
// Compare the results of direct and event-based calculations
foreach (var (direct, eventBased) in indicators)
{
Assert.Equal(direct.Value, eventBased.Value, 9);
}
// Compare the results of direct and event-based calculations
foreach (var (direct, eventBased) in indicators)
{
Assert.Equal(direct.Value, eventBased.Value, 9);
}
}
private static double GetRandomDouble(RandomNumberGenerator rng)
{
byte[] bytes = new byte[8];
rng.GetBytes(bytes);
return (double)BitConverter.ToUInt64(bytes, 0) / ulong.MaxValue;
}
private static double GetRandomDouble(RandomNumberGenerator rng)
+24 -24
View File
@@ -1,28 +1,28 @@
Single Value Input (Typically Closing Prices)
# Volatility Measures
Jurik Volatility (Volty)
## Single Value Input (Typically Closing Prices)
**Standard Deviation**
**Relative Volatility Index (RVI)**
Ulcer Index
ARCH/GARCH Models
Exponential Weighted Moving Average (EWMA) Volatility
Conditional Volatility
Volatility Ratio
Close-to-Close Volatility
Volatility of Volatility (VOV)
Volatility Cone
Bollinger Bands
Stochastic Volatility: Typically modeled using closing prices, but can incorporate other price information
- Jurik Volatility (Volty)
- **Standard Deviation**
- **Relative Volatility Index (RVI)**
- Ulcer Index
- ARCH/GARCH Models
- Exponential Weighted Moving Average (EWMA) Volatility
- Conditional Volatility
- Volatility Ratio
- Close-to-Close Volatility
- Volatility of Volatility (VOV)
- Volatility Cone
- Bollinger Bands
- Stochastic Volatility: Typically modeled using closing prices, but can incorporate other price information
OHLC Input (Open, High, Low, Close)
Garman-Klass Volatility
Rogers-Satchell Volatility
Yang-Zhang Volatility
Parkinson Volatility (High, Low)
Average True Range (ATR) (High, Low, Close)
Chaikin Volatility (High, Low)
Keltner Channels (typically Close, High, Low)
High-Low Volatility (High, Low)
## OHLC Input (Open, High, Low, Close)
- Garman-Klass Volatility
- Rogers-Satchell Volatility
- Yang-Zhang Volatility
- Parkinson Volatility (High, Low)
- Average True Range (ATR) (High, Low, Close)
- Chaikin Volatility (High, Low)
- Keltner Channels (typically Close, High, Low)
- High-Low Volatility (High, Low)