diff --git a/.gitea/workflows/build.yml b/.gitea/workflows/build.yml
index 56b86e6..c95ecae 100644
--- a/.gitea/workflows/build.yml
+++ b/.gitea/workflows/build.yml
@@ -29,3 +29,43 @@ jobs:
         uses: actions-rs/cargo@v1
         with:
           command: test
+
+  publishNPM:
+    name: Publish NPM
+    runs-on: ubuntu-latest
+    needs: [ build ] # for ignoring bad builds
+    if: github.event_name == 'push' && github.ref == 'refs/heads/master'
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v4
+        with:
+          github-server-url: https://gitea.sheep-ghoul.ts.net
+
+      - name: Install Rust
+        uses: actions-rs/toolchain@v1
+        with:
+          toolchain: stable
+
+      - name: Cargo Build
+        uses: actions-rs/cargo@v1
+        with:
+          command: build
+
+      - name: Install wasm-pack
+        run: curl https://rustwasm.github.io/wasm-pack/installer/init.sh -sSf | sh
+
+      - name: Build Rust for WASM
+        working-directory: ./finlib-wasm
+        run: wasm-pack build --release
+
+      - name: Install Node
+        uses: actions/setup-node@v2
+        with:
+          node-version: 22
+          registry-url: 'https://gitea.sheep-ghoul.ts.net/api/packages/sarsoo/npm/'
+
+      - name: Publish
+        working-directory: ./finlib-wasm/pkg
+        run: npm publish --provenance --access public
+        env:
+          NODE_AUTH_TOKEN: ${{ secrets.NPM_TOKEN }}
\ No newline at end of file
diff --git a/Cargo.lock b/Cargo.lock
index 897f34d..533e231 100644
--- a/Cargo.lock
+++ b/Cargo.lock
@@ -61,6 +61,21 @@ dependencies = [
  "windows-sys",
 ]
 
+[[package]]
+name = "approx"
+version = "0.5.1"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "cab112f0a86d568ea0e627cc1d6be74a1e9cd55214684db5561995f6dad897c6"
+dependencies = [
+ "num-traits",
+]
+
+[[package]]
+name = "arc-swap"
+version = "1.7.1"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "69f7f8c3906b62b754cd5326047894316021dcfe5a194c8ea52bdd94934a3457"
+
 [[package]]
 name = "autocfg"
 version = "1.4.0"
@@ -79,6 +94,18 @@ version = "3.17.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "1628fb46dfa0b37568d12e5edd512553eccf6a22a78e8bde00bb4aed84d5bdbf"
 
+[[package]]
+name = "bytemuck"
+version = "1.21.0"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "ef657dfab802224e671f5818e9a4935f9b1957ed18e58292690cc39e7a4092a3"
+
+[[package]]
+name = "byteorder"
+version = "1.5.0"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "1fd0f2584146f6f2ef48085050886acf353beff7305ebd1ae69500e27c67f64b"
+
 [[package]]
 name = "cbindgen"
 version = "0.28.0"
@@ -223,8 +250,13 @@ checksum = "37909eebbb50d72f9059c3b6d82c0463f2ff062c9e95845c43a6c9c0355411be"
 name = "finlib"
 version = "0.0.1"
 dependencies = [
+ "log",
+ "nalgebra",
+ "ndarray",
+ "ndarray-stats",
  "pyo3",
  "rayon",
+ "statrs",
 ]
 
 [[package]]
@@ -246,6 +278,17 @@ dependencies = [
  "wasm-bindgen-test",
 ]
 
+[[package]]
+name = "getrandom"
+version = "0.2.15"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "c4567c8db10ae91089c99af84c68c38da3ec2f087c3f82960bcdbf3656b6f4d7"
+dependencies = [
+ "cfg-if",
+ "libc",
+ "wasi 0.11.0+wasi-snapshot-preview1",
+]
+
 [[package]]
 name = "getrandom"
 version = "0.3.1"
@@ -254,7 +297,7 @@ checksum = "43a49c392881ce6d5c3b8cb70f98717b7c07aabbdff06687b9030dbfbe2725f8"
 dependencies = [
  "cfg-if",
  "libc",
- "wasi",
+ "wasi 0.13.3+wasi-0.2.2",
  "windows-targets",
 ]
 
@@ -298,6 +341,15 @@ version = "1.70.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "7943c866cc5cd64cbc25b2e01621d07fa8eb2a1a23160ee81ce38704e97b8ecf"
 
+[[package]]
+name = "itertools"
+version = "0.13.0"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "413ee7dfc52ee1a4949ceeb7dbc8a33f2d6c088194d9f922fb8318faf1f01186"
+dependencies = [
+ "either",
+]
+
 [[package]]
 name = "itoa"
 version = "1.0.14"
@@ -320,6 +372,12 @@ version = "0.2.169"
 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "b5aba8db14291edd000dfcc4d620c7ebfb122c613afb886ca8803fa4e128a20a"
 
+[[package]]
+name = "libm"
+version = "0.2.11"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "8355be11b20d696c8f18f6cc018c4e372165b1fa8126cef092399c9951984ffa"
+
 [[package]]
 name = "linux-raw-sys"
 version = "0.4.15"
@@ -332,6 +390,16 @@ version = "0.4.25"
 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "04cbf5b083de1c7e0222a7a51dbfdba1cbe1c6ab0b15e29fff3f6c077fd9cd9f"
 
+[[package]]
+name = "matrixmultiply"
+version = "0.3.9"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "9380b911e3e96d10c1f415da0876389aaf1b56759054eeb0de7df940c456ba1a"
+dependencies = [
+ "autocfg",
+ "rawpointer",
+]
+
 [[package]]
 name = "memchr"
 version = "2.7.4"
@@ -357,18 +425,159 @@ dependencies = [
  "walkdir",
 ]
 
+[[package]]
+name = "nalgebra"
+version = "0.33.2"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "26aecdf64b707efd1310e3544d709c5c0ac61c13756046aaaba41be5c4f66a3b"
+dependencies = [
+ "approx",
+ "matrixmultiply",
+ "nalgebra-macros",
+ "num-complex",
+ "num-rational",
+ "num-traits",
+ "rand",
+ "rand_distr",
+ "simba",
+ "typenum",
+]
+
+[[package]]
+name = "nalgebra-macros"
+version = "0.2.2"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "254a5372af8fc138e36684761d3c0cdb758a4410e938babcff1c860ce14ddbfc"
+dependencies = [
+ "proc-macro2",
+ "quote",
+ "syn",
+]
+
+[[package]]
+name = "ndarray"
+version = "0.16.1"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "882ed72dce9365842bf196bdeedf5055305f11fc8c03dee7bb0194a6cad34841"
+dependencies = [
+ "matrixmultiply",
+ "num-complex",
+ "num-integer",
+ "num-traits",
+ "portable-atomic",
+ "portable-atomic-util",
+ "rawpointer",
+]
+
+[[package]]
+name = "ndarray-stats"
+version = "0.6.0"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "17ebbe97acce52d06aebed4cd4a87c0941f4b2519b59b82b4feb5bd0ce003dfd"
+dependencies = [
+ "indexmap",
+ "itertools",
+ "ndarray",
+ "noisy_float",
+ "num-integer",
+ "num-traits",
+ "rand",
+]
+
+[[package]]
+name = "noisy_float"
+version = "0.2.0"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "978fe6e6ebc0bf53de533cd456ca2d9de13de13856eda1518a285d7705a213af"
+dependencies = [
+ "num-traits",
+]
+
+[[package]]
+name = "num-bigint"
+version = "0.4.6"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "a5e44f723f1133c9deac646763579fdb3ac745e418f2a7af9cd0c431da1f20b9"
+dependencies = [
+ "num-integer",
+ "num-traits",
+]
+
+[[package]]
+name = "num-complex"
+version = "0.4.6"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "73f88a1307638156682bada9d7604135552957b7818057dcef22705b4d509495"
+dependencies = [
+ "num-traits",
+]
+
+[[package]]
+name = "num-integer"
+version = "0.1.46"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "7969661fd2958a5cb096e56c8e1ad0444ac2bbcd0061bd28660485a44879858f"
+dependencies = [
+ "num-traits",
+]
+
+[[package]]
+name = "num-rational"
+version = "0.4.2"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "f83d14da390562dca69fc84082e73e548e1ad308d24accdedd2720017cb37824"
+dependencies = [
+ "num-bigint",
+ "num-integer",
+ "num-traits",
+]
+
+[[package]]
+name = "num-traits"
+version = "0.2.19"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "071dfc062690e90b734c0b2273ce72ad0ffa95f0c74596bc250dcfd960262841"
+dependencies = [
+ "autocfg",
+ "libm",
+]
+
 [[package]]
 name = "once_cell"
 version = "1.20.3"
 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "945462a4b81e43c4e3ba96bd7b49d834c6f61198356aa858733bc4acf3cbe62e"
 
+[[package]]
+name = "paste"
+version = "1.0.15"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "57c0d7b74b563b49d38dae00a0c37d4d6de9b432382b2892f0574ddcae73fd0a"
+
 [[package]]
 name = "portable-atomic"
 version = "1.10.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "280dc24453071f1b63954171985a0b0d30058d287960968b9b2aca264c8d4ee6"
 
+[[package]]
+name = "portable-atomic-util"
+version = "0.2.4"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "d8a2f0d8d040d7848a709caf78912debcc3f33ee4b3cac47d73d1e1069e83507"
+dependencies = [
+ "portable-atomic",
+]
+
+[[package]]
+name = "ppv-lite86"
+version = "0.2.20"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "77957b295656769bb8ad2b6a6b09d897d94f05c41b069aede1fcdaa675eaea04"
+dependencies = [
+ "zerocopy",
+]
+
 [[package]]
 name = "proc-macro2"
 version = "1.0.93"
@@ -384,6 +593,7 @@ version = "0.0.1"
 dependencies = [
  "finlib",
  "pyo3",
+ "pyo3-log",
 ]
 
 [[package]]
@@ -424,6 +634,17 @@ dependencies = [
  "pyo3-build-config",
 ]
 
+[[package]]
+name = "pyo3-log"
+version = "0.12.1"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "be5bb22b77965a7b5394e9aae9897a0607b51df5167561ffc3b02643b4200bc7"
+dependencies = [
+ "arc-swap",
+ "log",
+ "pyo3",
+]
+
 [[package]]
 name = "pyo3-macros"
 version = "0.23.4"
@@ -458,6 +679,52 @@ dependencies = [
  "proc-macro2",
 ]
 
+[[package]]
+name = "rand"
+version = "0.8.5"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "34af8d1a0e25924bc5b7c43c079c942339d8f0a8b57c39049bef581b46327404"
+dependencies = [
+ "libc",
+ "rand_chacha",
+ "rand_core",
+]
+
+[[package]]
+name = "rand_chacha"
+version = "0.3.1"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "e6c10a63a0fa32252be49d21e7709d4d4baf8d231c2dbce1eaa8141b9b127d88"
+dependencies = [
+ "ppv-lite86",
+ "rand_core",
+]
+
+[[package]]
+name = "rand_core"
+version = "0.6.4"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "ec0be4795e2f6a28069bec0b5ff3e2ac9bafc99e6a9a7dc3547996c5c816922c"
+dependencies = [
+ "getrandom 0.2.15",
+]
+
+[[package]]
+name = "rand_distr"
+version = "0.4.3"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "32cb0b9bc82b0a0876c2dd994a7e7a2683d3e7390ca40e6886785ef0c7e3ee31"
+dependencies = [
+ "num-traits",
+ "rand",
+]
+
+[[package]]
+name = "rawpointer"
+version = "0.2.1"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "60a357793950651c4ed0f3f52338f53b2f809f32d83a07f72909fa13e4c6c1e3"
+
 [[package]]
 name = "rayon"
 version = "1.10.0"
@@ -532,6 +799,15 @@ version = "1.0.19"
 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "6ea1a2d0a644769cc99faa24c3ad26b379b786fe7c36fd3c546254801650e6dd"
 
+[[package]]
+name = "safe_arch"
+version = "0.7.4"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "96b02de82ddbe1b636e6170c21be622223aea188ef2e139be0a5b219ec215323"
+dependencies = [
+ "bytemuck",
+]
+
 [[package]]
 name = "same-file"
 version = "1.0.6"
@@ -588,6 +864,31 @@ version = "1.3.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "0fda2ff0d084019ba4d7c6f371c95d8fd75ce3524c3cb8fb653a3023f6323e64"
 
+[[package]]
+name = "simba"
+version = "0.9.0"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "b3a386a501cd104797982c15ae17aafe8b9261315b5d07e3ec803f2ea26be0fa"
+dependencies = [
+ "approx",
+ "num-complex",
+ "num-traits",
+ "paste",
+ "wide",
+]
+
+[[package]]
+name = "statrs"
+version = "0.18.0"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "2a3fe7c28c6512e766b0874335db33c94ad7b8f9054228ae1c2abd47ce7d335e"
+dependencies = [
+ "approx",
+ "nalgebra",
+ "num-traits",
+ "rand",
+]
+
 [[package]]
 name = "strsim"
 version = "0.11.1"
@@ -619,7 +920,7 @@ checksum = "38c246215d7d24f48ae091a2902398798e05d978b24315d6efbc00ede9a8bb91"
 dependencies = [
  "cfg-if",
  "fastrand",
- "getrandom",
+ "getrandom 0.3.1",
  "once_cell",
  "rustix",
  "windows-sys",
@@ -659,6 +960,12 @@ dependencies = [
  "winnow",
 ]
 
+[[package]]
+name = "typenum"
+version = "1.17.0"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "42ff0bf0c66b8238c6f3b578df37d0b7848e55df8577b3f74f92a69acceeb825"
+
 [[package]]
 name = "unicode-ident"
 version = "1.0.16"
@@ -687,6 +994,12 @@ dependencies = [
  "winapi-util",
 ]
 
+[[package]]
+name = "wasi"
+version = "0.11.0+wasi-snapshot-preview1"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "9c8d87e72b64a3b4db28d11ce29237c246188f4f51057d65a7eab63b7987e423"
+
 [[package]]
 name = "wasi"
 version = "0.13.3+wasi-0.2.2"
@@ -801,6 +1114,16 @@ dependencies = [
  "wasm-bindgen",
 ]
 
+[[package]]
+name = "wide"
+version = "0.7.32"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "41b5576b9a81633f3e8df296ce0063042a73507636cbe956c61133dd7034ab22"
+dependencies = [
+ "bytemuck",
+ "safe_arch",
+]
+
 [[package]]
 name = "winapi-util"
 version = "0.1.9"
@@ -900,3 +1223,24 @@ checksum = "3268f3d866458b787f390cf61f4bbb563b922d091359f9608842999eaee3943c"
 dependencies = [
  "bitflags",
 ]
+
+[[package]]
+name = "zerocopy"
+version = "0.7.35"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "1b9b4fd18abc82b8136838da5d50bae7bdea537c574d8dc1a34ed098d6c166f0"
+dependencies = [
+ "byteorder",
+ "zerocopy-derive",
+]
+
+[[package]]
+name = "zerocopy-derive"
+version = "0.7.35"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "fa4f8080344d4671fb4e831a13ad1e68092748387dfc4f55e356242fae12ce3e"
+dependencies = [
+ "proc-macro2",
+ "quote",
+ "syn",
+]
diff --git a/Cargo.toml b/Cargo.toml
index 851154d..ff3162f 100644
--- a/Cargo.toml
+++ b/Cargo.toml
@@ -20,11 +20,13 @@ edition = "2021"
 
 [workspace.dependencies]
 rayon = "1.10.0"
-
-[workspace.dependencies.pyo3]
-version = "0.23.4"
-# "abi3-py38" tells pyo3 (and maturin) to build using the stable ABI with minimum Python version 3.8
-features = ["extension-module", "abi3-py38"]
+ndarray = "0.16.1"
+ndarray-stats = "0.6.0"
+nalgebra = "0.33.2"
+statrs = "0.18.0"
+log = "0.4.25"
+pyo3 = { version = "0.23.4", features = ["extension-module", "abi3-py38"] }
+pyo3-log = "0.12.1"
 
 [profile.release]
 # Tell `rustc` to optimize for small code size.
diff --git a/FinLib.NET/FinLib/FinLib.Risk.cs b/FinLib.NET/FinLib/FinLib.Risk.cs
index 347955a..7813bdb 100644
--- a/FinLib.NET/FinLib/FinLib.Risk.cs
+++ b/FinLib.NET/FinLib/FinLib.Risk.cs
@@ -12,7 +12,19 @@ public static class ValueAtRisk
         unsafe {
             var valueArr = values.ToArray();
             fixed (double* ptrOne = valueArr) {
-                var ret = NativeMethods.value_at_risk(ptrOne, (UIntPtr)valueArr.Length, confidence);
+                var ret = NativeMethods.historical_value_at_risk(ptrOne, (UIntPtr)valueArr.Length, confidence);
+
+                return *ret;
+            }
+        }
+    }
+
+    public static double VarCovar(IEnumerable<double> values, double confidence)
+    {
+        unsafe {
+            var valueArr = values.ToArray();
+            fixed (double* ptrOne = valueArr) {
+                var ret = NativeMethods.varcovar_value_at_risk(ptrOne, (UIntPtr)valueArr.Length, confidence);
 
                 return *ret;
             }
diff --git a/FinLib.NET/FinLib/FinLib.cs b/FinLib.NET/FinLib/FinLib.Stats.cs
similarity index 100%
rename from FinLib.NET/FinLib/FinLib.cs
rename to FinLib.NET/FinLib/FinLib.Stats.cs
diff --git a/FinLib.NET/FinLib/NativeMethods.g.cs b/FinLib.NET/FinLib/NativeMethods.g.cs
index 195eca3..1d1065f 100644
--- a/FinLib.NET/FinLib/NativeMethods.g.cs
+++ b/FinLib.NET/FinLib/NativeMethods.g.cs
@@ -22,8 +22,11 @@ namespace FinLib
         [DllImport(__DllName, EntryPoint = "covariance", CallingConvention = CallingConvention.Cdecl, ExactSpelling = true)]
         internal static extern double* covariance(double* arr, nuint len, double* arr_two, nuint len_two);
 
-        [DllImport(__DllName, EntryPoint = "value_at_risk", CallingConvention = CallingConvention.Cdecl, ExactSpelling = true)]
-        internal static extern double* value_at_risk(double* arr, nuint len, double confidence);
+        [DllImport(__DllName, EntryPoint = "historical_value_at_risk", CallingConvention = CallingConvention.Cdecl, ExactSpelling = true)]
+        internal static extern double* historical_value_at_risk(double* arr, nuint len, double confidence);
+
+        [DllImport(__DllName, EntryPoint = "varcovar_value_at_risk", CallingConvention = CallingConvention.Cdecl, ExactSpelling = true)]
+        internal static extern double* varcovar_value_at_risk(double* arr, nuint len, double confidence);
 
 
     }
diff --git a/finlib-cpp/include/finlib-native.h b/finlib-cpp/include/finlib-native.h
index a0f37af..1dd2773 100644
--- a/finlib-cpp/include/finlib-native.h
+++ b/finlib-cpp/include/finlib-native.h
@@ -19,9 +19,11 @@ extern "C" {
 
 const double *covariance(const double *arr, size_t len, const double *arr_two, size_t len_two);
 
+const double *historical_value_at_risk(const double *arr, size_t len, double confidence);
+
 double interest_compound(double principal, double rate, double time, double n);
 
-const double *value_at_risk(const double *arr, size_t len, double confidence);
+const double *varcovar_value_at_risk(const double *arr, size_t len, double confidence);
 
 }  // extern "C"
 
diff --git a/finlib-ffi/src/lib.rs b/finlib-ffi/src/lib.rs
index 8865bfe..c80dcec 100644
--- a/finlib-ffi/src/lib.rs
+++ b/finlib-ffi/src/lib.rs
@@ -26,11 +26,21 @@ pub unsafe extern "C" fn covariance(arr: *const f64, len: usize, arr_two: *const
 }
 
 #[no_mangle]
-pub unsafe extern "C" fn value_at_risk(arr: *const f64, len: usize, confidence: f64) -> *const f64 {
+pub unsafe extern "C" fn historical_value_at_risk(arr: *const f64, len: usize, confidence: f64) -> *const f64 {
     let input_array = unsafe {
         assert!(!arr.is_null());
         slice::from_raw_parts(arr, len)
     };
 
     Box::into_raw(Box::new(finlib::risk::var::historical::value_at_risk(input_array, confidence)))
-}
\ No newline at end of file
+}
+
+#[no_mangle]
+pub unsafe extern "C" fn varcovar_value_at_risk(arr: *const f64, len: usize, confidence: f64) -> *const f64 {
+    let input_array = unsafe {
+        assert!(!arr.is_null());
+        slice::from_raw_parts(arr, len)
+    };
+
+    Box::into_raw(Box::new(finlib::risk::var::varcovar::value_at_risk(input_array, confidence)))
+}
diff --git a/finlib/Cargo.toml b/finlib/Cargo.toml
index f080a0e..0adf369 100644
--- a/finlib/Cargo.toml
+++ b/finlib/Cargo.toml
@@ -7,7 +7,12 @@ edition.workspace = true
 [dependencies]
 pyo3 = { workspace = true, optional = true }
 rayon = { workspace = true, optional = true }
+ndarray = { workspace = true }
+ndarray-stats = { workspace = true }
+nalgebra = { workspace = true }
+statrs = { workspace = true }
+log = { workspace = true }
 
 [features]
 py = ["dep:pyo3"]
-parallel = ["dep::rayon"]
\ No newline at end of file
+parallel = ["dep:rayon"]
\ No newline at end of file
diff --git a/finlib/src/risk/var/historical.rs b/finlib/src/risk/var/historical.rs
index 62bb273..13a203d 100644
--- a/finlib/src/risk/var/historical.rs
+++ b/finlib/src/risk/var/historical.rs
@@ -7,6 +7,7 @@ use rayon::prelude::*;
 
 pub fn value_at_risk(values: &[f64], confidence: f64) -> f64 {
     let mut roc = rates_of_change(values).collect::<Vec<_>>();
+
     // roc.par_sort_by(|x, y| x.partial_cmp(y).unwrap());
     roc.sort_by(|x, y| x.partial_cmp(y).unwrap());
 
diff --git a/finlib/src/risk/var/mod.rs b/finlib/src/risk/var/mod.rs
index 1fd4453..6c298bf 100644
--- a/finlib/src/risk/var/mod.rs
+++ b/finlib/src/risk/var/mod.rs
@@ -1 +1,2 @@
-pub mod historical;
\ No newline at end of file
+pub mod historical;
+pub mod varcovar;
\ No newline at end of file
diff --git a/finlib/src/risk/var/varcovar.rs b/finlib/src/risk/var/varcovar.rs
new file mode 100644
index 0000000..870811c
--- /dev/null
+++ b/finlib/src/risk/var/varcovar.rs
@@ -0,0 +1,19 @@
+use crate::util::roc::rates_of_change;
+use crate::stats;
+
+#[cfg(feature = "parallel")]
+use rayon::prelude::*;
+use statrs::distribution::{ContinuousCDF, Normal};
+
+// https://medium.com/@serdarilarslan/value-at-risk-var-and-its-implementation-in-python-5c9150f73b0e
+
+pub fn value_at_risk(values: &[f64], confidence: f64) -> f64 {
+    let roc = rates_of_change(values).collect::<Vec<_>>();
+
+    let mean = stats::mean(&roc);
+    let std_dev = stats::sample_std_dev(&roc);
+
+    let n = Normal::new(0.0, 1.0).unwrap();
+
+    mean + std_dev * n.inverse_cdf(confidence)
+}
\ No newline at end of file
diff --git a/finlib/src/stats/covariance.rs b/finlib/src/stats/covariance.rs
index 9f1c86c..c4a4729 100644
--- a/finlib/src/stats/covariance.rs
+++ b/finlib/src/stats/covariance.rs
@@ -18,7 +18,8 @@ pub fn covariance(slice: &[f64], slice_two: &[f64]) -> Option<f64>
                 )
                 .map(|(x, y)| (x - mean_1) * (y - mean_2))
                 .sum::<f64>()
-                / ((slice.len() - 1) as f64))
+            / ((slice.len() - 1) as f64)
+            )
         }
         _ => None
     }
diff --git a/finlib/src/util/mod.rs b/finlib/src/util/mod.rs
index e313a5b..7dff541 100644
--- a/finlib/src/util/mod.rs
+++ b/finlib/src/util/mod.rs
@@ -1 +1,2 @@
-pub mod roc;
\ No newline at end of file
+pub mod roc;
+pub mod vector;
\ No newline at end of file
diff --git a/finlib/src/util/vector.rs b/finlib/src/util/vector.rs
new file mode 100644
index 0000000..18df3d3
--- /dev/null
+++ b/finlib/src/util/vector.rs
@@ -0,0 +1,17 @@
+
+pub fn dot_product(a: &[f64], b: &[f64]) -> f64 {
+    assert_eq!(a.len(), b.len());
+
+    a.iter()
+        .zip(b.iter())
+        .map(|(x, y)| x * y)
+        .sum()
+}
+
+pub fn mag(a: &[f64]) -> f64 {
+    f64::sqrt(
+        a.iter()
+            .map(|x| f64::powi(*x, 2))
+            .sum()
+    )
+}
\ No newline at end of file
diff --git a/notebooks/historical_var.ipynb b/notebooks/historical_var.ipynb
new file mode 100644
index 0000000..1d4bc74
--- /dev/null
+++ b/notebooks/historical_var.ipynb
@@ -0,0 +1,428 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "id": "initial_id",
+   "metadata": {
+    "collapsed": true,
+    "ExecuteTime": {
+     "end_time": "2025-02-14T22:39:48.773873Z",
+     "start_time": "2025-02-14T22:39:43.097057Z"
+    }
+   },
+   "source": [
+    "import matplotlib.pyplot as plt\n",
+    "from openbb import obb\n",
+    "import pyfinlib\n"
+   ],
+   "outputs": [],
+   "execution_count": 1
+  },
+  {
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-02-14T22:39:50.185368Z",
+     "start_time": "2025-02-14T22:39:49.569809Z"
+    }
+   },
+   "cell_type": "code",
+   "source": "aapl = obb.equity.price.historical(symbol='AAPL', provider='yfinance')",
+   "id": "e5573366e39b2962",
+   "outputs": [],
+   "execution_count": 2
+  },
+  {
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-02-14T22:39:50.200378Z",
+     "start_time": "2025-02-14T22:39:50.192064Z"
+    }
+   },
+   "cell_type": "code",
+   "source": "aapl.results",
+   "id": "ba361e8697a2e425",
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[YFinanceEquityHistoricalData(date=2024-02-14, open=185.32000732421875, high=185.52999877929688, low=182.44000244140625, close=184.14999389648438, volume=54630500, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2024-02-15, open=183.5500030517578, high=184.49000549316406, low=181.35000610351562, close=183.86000061035156, volume=65434500, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2024-02-16, open=183.4199981689453, high=184.85000610351562, low=181.6699981689453, close=182.30999755859375, volume=49701400, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2024-02-20, open=181.7899932861328, high=182.42999267578125, low=180.0, close=181.55999755859375, volume=53665600, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2024-02-21, open=181.94000244140625, high=182.88999938964844, low=180.66000366210938, close=182.32000732421875, volume=41529700, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2024-02-22, open=183.47999572753906, high=184.9600067138672, low=182.4600067138672, close=184.3699951171875, volume=52292200, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2024-02-23, open=185.00999450683594, high=185.0399932861328, low=182.22999572753906, close=182.52000427246094, volume=45119700, vwap=None, split_ratio=None, dividend=0.0),\n",
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+       " YFinanceEquityHistoricalData(date=2024-02-28, open=182.50999450683594, high=183.1199951171875, low=180.1300048828125, close=181.4199981689453, volume=48953900, vwap=None, split_ratio=None, dividend=0.0),\n",
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+       " YFinanceEquityHistoricalData(date=2025-01-23, open=224.74000549316406, high=227.02999877929688, low=222.3000030517578, close=223.66000366210938, volume=60234800, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2025-01-24, open=224.77999877929688, high=225.6300048828125, low=221.41000366210938, close=222.77999877929688, volume=54697900, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2025-01-27, open=224.02000427246094, high=232.14999389648438, low=223.97999572753906, close=229.86000061035156, volume=94863400, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2025-01-28, open=230.85000610351562, high=240.19000244140625, low=230.80999755859375, close=238.25999450683594, volume=75707600, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2025-01-29, open=234.1199951171875, high=239.86000061035156, low=234.00999450683594, close=239.36000061035156, volume=45486100, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2025-01-30, open=238.6699981689453, high=240.7899932861328, low=237.2100067138672, close=237.58999633789062, volume=55658300, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2025-01-31, open=247.19000244140625, high=247.19000244140625, low=233.44000244140625, close=236.0, volume=101075100, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2025-02-03, open=229.99000549316406, high=231.8300018310547, low=225.6999969482422, close=228.00999450683594, volume=73063300, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2025-02-04, open=227.25, high=233.1300048828125, low=226.64999389648438, close=232.8000030517578, volume=45067300, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2025-02-05, open=228.52999877929688, high=232.6699981689453, low=228.27000427246094, close=232.47000122070312, volume=39620300, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2025-02-06, open=231.2899932861328, high=233.8000030517578, low=230.42999267578125, close=233.22000122070312, volume=29925300, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2025-02-07, open=232.60000610351562, high=234.0, low=227.25999450683594, close=227.6300048828125, volume=39707200, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2025-02-10, open=229.57000732421875, high=230.58999633789062, low=227.1999969482422, close=227.64999389648438, volume=33115600, vwap=None, split_ratio=None, dividend=0.25),\n",
+       " YFinanceEquityHistoricalData(date=2025-02-11, open=228.1999969482422, high=235.22999572753906, low=228.1300048828125, close=232.6199951171875, volume=53718400, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2025-02-12, open=231.1999969482422, high=236.9600067138672, low=230.67999267578125, close=236.8699951171875, volume=45243300, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2025-02-13, open=236.91000366210938, high=242.33999633789062, low=235.57000732421875, close=241.52999877929688, volume=53614100, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2025-02-14, open=241.07000732421875, high=245.41000366210938, low=241.0, close=244.60000610351562, volume=40145605, vwap=None, split_ratio=None, dividend=0.0)]"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "execution_count": 3
+  },
+  {
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-02-14T22:39:50.886767Z",
+     "start_time": "2025-02-14T22:39:50.882363Z"
+    }
+   },
+   "cell_type": "code",
+   "source": "data = [i.open for i in aapl.results]",
+   "id": "481bc5b5742518f7",
+   "outputs": [],
+   "execution_count": 4
+  },
+  {
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-02-14T22:42:35.170044Z",
+     "start_time": "2025-02-14T22:42:35.165964Z"
+    }
+   },
+   "cell_type": "code",
+   "source": [
+    "VaR_historical = pyfinlib.risk.var.historical(data, 0.05)\n",
+    "VaR_historical_10 = pyfinlib.risk.var.historical(data, 0.1)\n",
+    "VaR_historical, VaR_historical_10"
+   ],
+   "id": "2cc84cfff89a39a1",
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(-0.023037706582264946, -0.016547437981254933)"
+      ]
+     },
+     "execution_count": 19,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "execution_count": 19
+  },
+  {
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-02-14T22:42:37.039118Z",
+     "start_time": "2025-02-14T22:42:37.034625Z"
+    }
+   },
+   "cell_type": "code",
+   "source": "returns = pyfinlib.util.rates_of_change(data)",
+   "id": "28a68dea99911874",
+   "outputs": [],
+   "execution_count": 20
+  },
+  {
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-02-14T22:42:37.361381Z",
+     "start_time": "2025-02-14T22:42:37.264945Z"
+    }
+   },
+   "cell_type": "code",
+   "source": [
+    "# Plot the historical returns and VaR threshold\n",
+    "plt.figure(figsize=(10, 6))\n",
+    "plt.hist(returns, bins=50, alpha=0.75, color='blue', edgecolor='black')\n",
+    "plt.axvline(VaR_historical, color='red', linestyle='--', label=f'VaR (95%): {VaR_historical:.2%}')\n",
+    "plt.axvline(VaR_historical_10, color='orange', linestyle='--', label=f'VaR (90%): {VaR_historical_10:.2%}')\n",
+    "plt.title('Historical Returns of AAPL')\n",
+    "plt.xlabel('Returns')\n",
+    "plt.ylabel('Frequency')\n",
+    "plt.legend()\n",
+    "plt.show()"
+   ],
+   "id": "5ab5e055a23f28ed",
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Figure size 1000x600 with 1 Axes>"
+      ],
+      "image/png": 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"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "execution_count": 21
+  },
+  {
+   "metadata": {},
+   "cell_type": "code",
+   "outputs": [],
+   "execution_count": null,
+   "source": "",
+   "id": "ddeb6ada3ab526b5"
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 2
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython2",
+   "version": "2.7.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/notebooks/poetry.lock b/notebooks/poetry.lock
new file mode 100644
index 0000000..1a6a705
--- /dev/null
+++ b/notebooks/poetry.lock
@@ -0,0 +1,5102 @@
+# This file is automatically @generated by Poetry 2.0.1 and should not be changed by hand.
+
+[[package]]
+name = "aiohappyeyeballs"
+version = "2.4.6"
+description = "Happy Eyeballs for asyncio"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
+    {file = "aiohappyeyeballs-2.4.6-py3-none-any.whl", hash = "sha256:147ec992cf873d74f5062644332c539fcd42956dc69453fe5204195e560517e1"},
+    {file = "aiohappyeyeballs-2.4.6.tar.gz", hash = "sha256:9b05052f9042985d32ecbe4b59a77ae19c006a78f1344d7fdad69d28ded3d0b0"},
+]
+
+[[package]]
+name = "aiohttp"
+version = "3.11.12"
+description = "Async http client/server framework (asyncio)"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
+    {file = "aiohttp-3.11.12-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:aa8a8caca81c0a3e765f19c6953416c58e2f4cc1b84829af01dd1c771bb2f91f"},
+    {file = "aiohttp-3.11.12-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:84ede78acde96ca57f6cf8ccb8a13fbaf569f6011b9a52f870c662d4dc8cd854"},
+    {file = "aiohttp-3.11.12-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:584096938a001378484aa4ee54e05dc79c7b9dd933e271c744a97b3b6f644957"},
+    {file = "aiohttp-3.11.12-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:392432a2dde22b86f70dd4a0e9671a349446c93965f261dbaecfaf28813e5c42"},
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+]
+
+[package.dependencies]
+idna = ">=2.0"
+multidict = ">=4.0"
+propcache = ">=0.2.0"
+
+[[package]]
+name = "yfinance"
+version = "0.2.52"
+description = "Download market data from Yahoo! Finance API"
+optional = false
+python-versions = "*"
+groups = ["main"]
+files = [
+    {file = "yfinance-0.2.52-py2.py3-none-any.whl", hash = "sha256:3ca150da85f56b999687e13b72304338499a417d5bad6af9da2aa13821992bd7"},
+    {file = "yfinance-0.2.52.tar.gz", hash = "sha256:d2c2ed9bc935596934cba99fca0f05beaa8384648f78105c77754e92f11bf72f"},
+]
+
+[package.dependencies]
+beautifulsoup4 = ">=4.11.1"
+frozendict = ">=2.3.4"
+html5lib = ">=1.1"
+lxml = ">=4.9.1"
+multitasking = ">=0.0.7"
+numpy = ">=1.16.5"
+pandas = ">=1.3.0"
+peewee = ">=3.16.2"
+platformdirs = ">=2.0.0"
+pytz = ">=2022.5"
+requests = ">=2.31"
+
+[package.extras]
+nospam = ["requests_cache (>=1.0)", "requests_ratelimiter (>=0.3.1)"]
+repair = ["scipy (>=1.6.3)"]
+
+[[package]]
+name = "zipp"
+version = "3.21.0"
+description = "Backport of pathlib-compatible object wrapper for zip files"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
+    {file = "zipp-3.21.0-py3-none-any.whl", hash = "sha256:ac1bbe05fd2991f160ebce24ffbac5f6d11d83dc90891255885223d42b3cd931"},
+    {file = "zipp-3.21.0.tar.gz", hash = "sha256:2c9958f6430a2040341a52eb608ed6dd93ef4392e02ffe219417c1b28b5dd1f4"},
+]
+
+[package.extras]
+check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"]
+cover = ["pytest-cov"]
+doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+enabler = ["pytest-enabler (>=2.2)"]
+test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-ignore-flaky"]
+type = ["pytest-mypy"]
+
+[metadata]
+lock-version = "2.1"
+python-versions = ">=3.12,<3.13"
+content-hash = "141638bd974084b279bca0180eabb9e302c8a86950888cff5c86f6e836d2ad8f"
diff --git a/notebooks/pyproject.toml b/notebooks/pyproject.toml
new file mode 100644
index 0000000..cf09062
--- /dev/null
+++ b/notebooks/pyproject.toml
@@ -0,0 +1,22 @@
+[project]
+name = "notebooks"
+version = "0.1.0"
+requires-python = ">=3.12,<3.13"
+
+dependencies = [
+    "jupyterlab (>=4.3.5,<5.0.0)",
+    "matplotlib (>=3.10.0,<4.0.0)",
+    "seaborn (>=0.13.2,<0.14.0)",
+    "openbb (>=4.4.0,<5.0.0)",
+    "yfinance (>=0.2.52,<0.3.0)",
+    "pandas (>=2.2.3,<3.0.0)",
+    "numpy (>=2.2.3,<3.0.0)",
+    "maturin (>=1.8.2,<2.0.0)"
+]
+
+[tool.poetry]
+package-mode = false
+
+[build-system]
+requires = ["poetry-core>=2.0.0,<3.0.0"]
+build-backend = "poetry.core.masonry.api"
diff --git a/notebooks/varcovar_var.ipynb b/notebooks/varcovar_var.ipynb
new file mode 100644
index 0000000..616cd37
--- /dev/null
+++ b/notebooks/varcovar_var.ipynb
@@ -0,0 +1,428 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "id": "initial_id",
+   "metadata": {
+    "collapsed": true,
+    "ExecuteTime": {
+     "end_time": "2025-02-14T22:51:48.194830Z",
+     "start_time": "2025-02-14T22:51:43.068129Z"
+    }
+   },
+   "source": [
+    "import matplotlib.pyplot as plt\n",
+    "from openbb import obb\n",
+    "import pyfinlib\n"
+   ],
+   "outputs": [],
+   "execution_count": 1
+  },
+  {
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-02-14T22:51:48.808390Z",
+     "start_time": "2025-02-14T22:51:48.198843Z"
+    }
+   },
+   "cell_type": "code",
+   "source": "aapl = obb.equity.price.historical(symbol='AAPL', provider='yfinance')",
+   "id": "e5573366e39b2962",
+   "outputs": [],
+   "execution_count": 2
+  },
+  {
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-02-14T22:51:48.967198Z",
+     "start_time": "2025-02-14T22:51:48.949948Z"
+    }
+   },
+   "cell_type": "code",
+   "source": "aapl.results",
+   "id": "ba361e8697a2e425",
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[YFinanceEquityHistoricalData(date=2024-02-14, open=185.32000732421875, high=185.52999877929688, low=182.44000244140625, close=184.14999389648438, volume=54630500, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2024-02-15, open=183.5500030517578, high=184.49000549316406, low=181.35000610351562, close=183.86000061035156, volume=65434500, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2024-02-16, open=183.4199981689453, high=184.85000610351562, low=181.6699981689453, close=182.30999755859375, volume=49701400, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2024-02-20, open=181.7899932861328, high=182.42999267578125, low=180.0, close=181.55999755859375, volume=53665600, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2024-02-21, open=181.94000244140625, high=182.88999938964844, low=180.66000366210938, close=182.32000732421875, volume=41529700, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2024-02-22, open=183.47999572753906, high=184.9600067138672, low=182.4600067138672, close=184.3699951171875, volume=52292200, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2024-02-23, open=185.00999450683594, high=185.0399932861328, low=182.22999572753906, close=182.52000427246094, volume=45119700, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2024-02-26, open=182.24000549316406, high=182.75999450683594, low=180.64999389648438, close=181.16000366210938, volume=40867400, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2024-02-27, open=181.10000610351562, high=183.9199981689453, low=179.55999755859375, close=182.6300048828125, volume=54318900, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2024-02-28, open=182.50999450683594, high=183.1199951171875, low=180.1300048828125, close=181.4199981689453, volume=48953900, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2024-02-29, open=181.27000427246094, high=182.57000732421875, low=179.52999877929688, close=180.75, volume=136682600, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2024-03-01, open=179.5500030517578, high=180.52999877929688, low=177.3800048828125, close=179.66000366210938, volume=73488000, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2024-03-04, open=176.14999389648438, high=176.89999389648438, low=173.7899932861328, close=175.10000610351562, volume=81510100, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2024-03-05, open=170.75999450683594, high=172.0399932861328, low=169.6199951171875, close=170.1199951171875, volume=95132400, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2024-03-06, open=171.05999755859375, high=171.24000549316406, low=168.67999267578125, close=169.1199951171875, volume=68587700, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2024-03-07, open=169.14999389648438, high=170.72999572753906, low=168.49000549316406, close=169.0, volume=71765100, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2024-03-08, open=169.0, high=173.6999969482422, low=168.94000244140625, close=170.72999572753906, volume=76114600, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2024-03-11, open=172.94000244140625, high=174.3800048828125, low=172.0500030517578, close=172.75, volume=60139500, vwap=None, split_ratio=None, dividend=0.0),\n",
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+       " YFinanceEquityHistoricalData(date=2024-11-20, open=228.05999755859375, high=229.92999267578125, low=225.88999938964844, close=229.0, volume=35169600, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2024-11-21, open=228.8800048828125, high=230.16000366210938, low=225.7100067138672, close=228.52000427246094, volume=42108300, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2024-11-22, open=228.05999755859375, high=230.72000122070312, low=228.05999755859375, close=229.8699951171875, volume=38168300, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2024-11-25, open=231.4600067138672, high=233.25, low=229.74000549316406, close=232.8699951171875, volume=90152800, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2024-11-26, open=233.3300018310547, high=235.57000732421875, low=233.3300018310547, close=235.05999755859375, volume=45986200, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2024-11-27, open=234.47000122070312, high=235.69000244140625, low=233.80999755859375, close=234.92999267578125, volume=33498400, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2024-11-29, open=234.80999755859375, high=237.80999755859375, low=233.97000122070312, close=237.3300018310547, volume=28481400, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2024-12-02, open=237.27000427246094, high=240.7899932861328, low=237.16000366210938, close=239.58999633789062, volume=48137100, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2024-12-03, open=239.80999755859375, high=242.75999450683594, low=238.89999389648438, close=242.64999389648438, volume=38861000, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2024-12-04, open=242.8699951171875, high=244.11000061035156, low=241.25, close=243.00999450683594, volume=44383900, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2024-12-05, open=243.99000549316406, high=244.5399932861328, low=242.1300048828125, close=243.0399932861328, volume=40033900, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2024-12-06, open=242.91000366210938, high=244.6300048828125, low=242.0800018310547, close=242.83999633789062, volume=36870600, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2024-12-09, open=241.8300018310547, high=247.24000549316406, low=241.75, close=246.75, volume=44649200, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2024-12-10, open=246.88999938964844, high=248.2100067138672, low=245.33999633789062, close=247.77000427246094, volume=36914800, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2024-12-11, open=247.9600067138672, high=250.8000030517578, low=246.25999450683594, close=246.49000549316406, volume=45205800, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2024-12-12, open=246.88999938964844, high=248.74000549316406, low=245.67999267578125, close=247.9600067138672, volume=32777500, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2024-12-13, open=247.82000732421875, high=249.2899932861328, low=246.24000549316406, close=248.1300048828125, volume=33155300, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2024-12-16, open=247.99000549316406, high=251.3800048828125, low=247.64999389648438, close=251.0399932861328, volume=51694800, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2024-12-17, open=250.0800018310547, high=253.8300018310547, low=249.77999877929688, close=253.47999572753906, volume=51356400, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2024-12-18, open=252.16000366210938, high=254.27999877929688, low=247.74000549316406, close=248.0500030517578, volume=56774100, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2024-12-19, open=247.5, high=252.0, low=247.08999633789062, close=249.7899932861328, volume=60882300, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2024-12-20, open=248.0399932861328, high=255.0, low=245.69000244140625, close=254.49000549316406, volume=147495300, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2024-12-23, open=254.77000427246094, high=255.64999389648438, low=253.4499969482422, close=255.27000427246094, volume=40858800, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2024-12-24, open=255.49000549316406, high=258.2099914550781, low=255.2899932861328, close=258.20001220703125, volume=23234700, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2024-12-26, open=258.19000244140625, high=260.1000061035156, low=257.6300048828125, close=259.0199890136719, volume=27237100, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2024-12-27, open=257.8299865722656, high=258.70001220703125, low=253.05999755859375, close=255.58999633789062, volume=42355300, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2024-12-30, open=252.22999572753906, high=253.5, low=250.75, close=252.1999969482422, volume=35557500, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2024-12-31, open=252.44000244140625, high=253.27999877929688, low=249.42999267578125, close=250.4199981689453, volume=39480700, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2025-01-02, open=248.92999267578125, high=249.10000610351562, low=241.82000732421875, close=243.85000610351562, volume=55740700, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2025-01-03, open=243.36000061035156, high=244.17999267578125, low=241.88999938964844, close=243.36000061035156, volume=40244100, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2025-01-06, open=244.30999755859375, high=247.3300018310547, low=243.1999969482422, close=245.0, volume=45045600, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2025-01-07, open=242.97999572753906, high=245.5500030517578, low=241.35000610351562, close=242.2100067138672, volume=40856000, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2025-01-08, open=241.9199981689453, high=243.7100067138672, low=240.0500030517578, close=242.6999969482422, volume=37628900, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2025-01-10, open=240.00999450683594, high=240.16000366210938, low=233.0, close=236.85000610351562, volume=61710900, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2025-01-13, open=233.52999877929688, high=234.6699981689453, low=229.72000122070312, close=234.39999389648438, volume=49630700, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2025-01-14, open=234.75, high=236.1199951171875, low=232.47000122070312, close=233.27999877929688, volume=39435300, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2025-01-15, open=234.63999938964844, high=238.9600067138672, low=234.42999267578125, close=237.8699951171875, volume=39832000, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2025-01-16, open=237.35000610351562, high=238.00999450683594, low=228.02999877929688, close=228.25999450683594, volume=71759100, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2025-01-17, open=232.1199951171875, high=232.2899932861328, low=228.47999572753906, close=229.97999572753906, volume=68488300, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2025-01-21, open=224.0, high=224.4199981689453, low=219.3800048828125, close=222.63999938964844, volume=98070400, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2025-01-22, open=219.7899932861328, high=224.1199951171875, low=219.7899932861328, close=223.8300018310547, volume=64126500, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2025-01-23, open=224.74000549316406, high=227.02999877929688, low=222.3000030517578, close=223.66000366210938, volume=60234800, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2025-01-24, open=224.77999877929688, high=225.6300048828125, low=221.41000366210938, close=222.77999877929688, volume=54697900, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2025-01-27, open=224.02000427246094, high=232.14999389648438, low=223.97999572753906, close=229.86000061035156, volume=94863400, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2025-01-28, open=230.85000610351562, high=240.19000244140625, low=230.80999755859375, close=238.25999450683594, volume=75707600, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2025-01-29, open=234.1199951171875, high=239.86000061035156, low=234.00999450683594, close=239.36000061035156, volume=45486100, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2025-01-30, open=238.6699981689453, high=240.7899932861328, low=237.2100067138672, close=237.58999633789062, volume=55658300, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2025-01-31, open=247.19000244140625, high=247.19000244140625, low=233.44000244140625, close=236.0, volume=101075100, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2025-02-03, open=229.99000549316406, high=231.8300018310547, low=225.6999969482422, close=228.00999450683594, volume=73063300, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2025-02-04, open=227.25, high=233.1300048828125, low=226.64999389648438, close=232.8000030517578, volume=45067300, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2025-02-05, open=228.52999877929688, high=232.6699981689453, low=228.27000427246094, close=232.47000122070312, volume=39620300, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2025-02-06, open=231.2899932861328, high=233.8000030517578, low=230.42999267578125, close=233.22000122070312, volume=29925300, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2025-02-07, open=232.60000610351562, high=234.0, low=227.25999450683594, close=227.6300048828125, volume=39707200, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2025-02-10, open=229.57000732421875, high=230.58999633789062, low=227.1999969482422, close=227.64999389648438, volume=33115600, vwap=None, split_ratio=None, dividend=0.25),\n",
+       " YFinanceEquityHistoricalData(date=2025-02-11, open=228.1999969482422, high=235.22999572753906, low=228.1300048828125, close=232.6199951171875, volume=53718400, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2025-02-12, open=231.1999969482422, high=236.9600067138672, low=230.67999267578125, close=236.8699951171875, volume=45243300, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2025-02-13, open=236.91000366210938, high=242.33999633789062, low=235.57000732421875, close=241.52999877929688, volume=53614100, vwap=None, split_ratio=None, dividend=0.0),\n",
+       " YFinanceEquityHistoricalData(date=2025-02-14, open=241.07000732421875, high=245.41000366210938, low=241.0, close=244.60000610351562, volume=40145605, vwap=None, split_ratio=None, dividend=0.0)]"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "execution_count": 3
+  },
+  {
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-02-14T22:51:49.028903Z",
+     "start_time": "2025-02-14T22:51:49.024918Z"
+    }
+   },
+   "cell_type": "code",
+   "source": "data = [i.open for i in aapl.results]",
+   "id": "481bc5b5742518f7",
+   "outputs": [],
+   "execution_count": 4
+  },
+  {
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-02-14T22:51:49.064656Z",
+     "start_time": "2025-02-14T22:51:49.059113Z"
+    }
+   },
+   "cell_type": "code",
+   "source": [
+    "VaR_historical = pyfinlib.risk.var.varcovar(data, 0.05)\n",
+    "VaR_historical_10 = pyfinlib.risk.var.varcovar(data, 0.1)\n",
+    "VaR_historical, VaR_historical_10"
+   ],
+   "id": "2cc84cfff89a39a1",
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(-0.026031920848673024, -0.02002042717077901)"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "execution_count": 5
+  },
+  {
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-02-14T22:51:49.089089Z",
+     "start_time": "2025-02-14T22:51:49.085824Z"
+    }
+   },
+   "cell_type": "code",
+   "source": "returns = pyfinlib.util.rates_of_change(data)",
+   "id": "28a68dea99911874",
+   "outputs": [],
+   "execution_count": 6
+  },
+  {
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-02-14T22:51:49.363386Z",
+     "start_time": "2025-02-14T22:51:49.221932Z"
+    }
+   },
+   "cell_type": "code",
+   "source": [
+    "# Plot the historical returns and VaR threshold\n",
+    "plt.figure(figsize=(10, 6))\n",
+    "plt.hist(returns, bins=50, alpha=0.75, color='blue', edgecolor='black')\n",
+    "plt.axvline(VaR_historical, color='red', linestyle='--', label=f'VaR (95%): {VaR_historical:.2%}')\n",
+    "plt.axvline(VaR_historical_10, color='orange', linestyle='--', label=f'VaR (90%): {VaR_historical_10:.2%}')\n",
+    "plt.title('Historical Returns of AAPL')\n",
+    "plt.xlabel('Returns')\n",
+    "plt.ylabel('Frequency')\n",
+    "plt.legend()\n",
+    "plt.show()"
+   ],
+   "id": "5ab5e055a23f28ed",
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Figure size 1000x600 with 1 Axes>"
+      ],
+      "image/png": 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hcePG4vF4KvwcsW765mL+/PmSkZFhht0FvPTSS/Liiy+aQEmDqrvuuqvUbFJ2drZZ7BUsAAAAUPp5mAZIeo5Vv379w/4WHqgKGuDn5OTIzp07ZePGjWa0WmkXjHV1kPTLL7+YoCgrK0tq1KghCxYskHbt2pnHLr30UmnRooW5Iu7KlSvl1ltvlbVr18pbb71V4vNNmzZN7r333kp8BQAQIvHxIu+9V9B2QnS8yJnvFbQBwFymLdecYGqAlJiYWNW7A1SY/vzGxcXJpk2bTMCUkJBQoeep8usk6c7/8ccfplb5G2+8Ic8++6wsXrw4P1Cy+/zzz6VPnz6yfv16Ofroo8ucSdILRnGdJAAAgOLpl9X6zXurVq0qfFIJhMPPc1mvk1TlmSQdK9i6dWvT7tq1q3z//ffyxBNPyNNPP11k3ZNPPtn8X1qQFB8fbxYAAAAAqIgqD5IK8/l8QZkgu59++sn8rxOxAKDa0YpSL73kb192mUhcXOj78OWKpB7so+VlItEO9AEAQJir0uskTZo0Sb788ktJTU01c5P09qJFi+Syyy6TDRs2yJQpU2TFihXm8XfffVdGjBghZ5xxhrm2EgBUOzk5Ilde6V+07QRfjsg3V/oXbQMAKmz37t3SoEEDc65a1WbNmlWkcjTCNEjasWOHCXzatm1r5hrpULuPP/5YzjrrLDMM77PPPpN+/frJscceKzfffLMMHTpU/vvf/1blLgMAAMAFNCA4++yzi33sq6++MhX6tPDXoYwaNcqsq4tO+Nd5LBMnTjTzWg5FL1+j1/hs2bJl/n0LFy6UU089VWrWrGmqM2vhsby8vPzHNaAK9Gdf9BI4AZ9++qkcc8wxZs7MFVdcYebwB+hcGn1MCxPYXXXVVfLDDz+Y1364fv75Z7nkkkvMvH4thHDccceZ6TBl8f7775spMrpdnTp15IILLgh6XGsRnHPOOaaSogaYt9xyS9D7o9dL7dy5synopsd4z549+Y/pejo957vvvpNqPdzuueeeK/ExPShawAEAAAAo7OqrrzZfoGvp8qZNmwY9NmfOHOnWrVuZRx9psKXbaJU/HcU0cuRIE7g89NBDJW6TmZlpzmX1C357cDFw4EC54447ZN68efLXX3/JmDFjTIn1f/3rX0HbazIgcF1QdcQRR+RPPdEKzzrCqn///nLhhRfKM888I9ddd515/LbbbjPPqRWg7TTBoNv9+9//lh49esjhWLFihQlg9DI8ek6+dOlSGT16tLlQa2A/ivPmm2/KNddcIw888ID07t3bBDWrVq3Kf1zfBw2QNHjU59y6datJmGhwqtuo//f//p/Z9rXXXjNtvT/w3j3yyCNy2mmnyUknnSSOs6q5tLQ0rd5n/gcAV0tP13Kj/kXbTshNt6yXxL9oGwAsyzpw4IC1Zs0a838Q/V1U0lKedTMzy7ZuOeTm5loNGza0pkyZEnT//v37rRo1algzZ860du3aZQ0fPtxq0qSJlZiYaHXo0MF6+eWXg9YfOXKkNWjQoKD7hgwZYnXu3LnU/ufPn2/Vr18/6L5JkyZZ3bp1C7rv3XfftRISEqx9+/aZ2xs3bjTnpj/++GOxz7t9+3bzeOBYTJw40Ro7dqxpL1myxOratauVl5dX7LaLFy+2PB6PlVn4/Q6BsWPHWr169Sr1eBx55JHWs88+W+I6H3zwgRUdHW1t27Yt/z49TrVq1bKys7PNbT1Ov/76q2k/9dRT1sCBA017w4YNVps2bfLfxwr9PJcjNqjS4XYAAABwsRo1Sl6GDg1et0GDktcdMCB4XR2eVtx65RAbG2uyEHPnzjXXeAqYP3++yVjocDEdMqfDs3QImGY0NBuiw9dKG66l62mWQzMzpdFhbfrcdlp8rHDJaR12pvuh2Rm7888/32RrTj/9dDP3PkCvVaVFyj755BOTrdJ+NCOmWa5//OMfpgK0ZnSKo9kzzd58++23+ff17NnTDCk8XGlpaVK3bt0SH9ehfpo504u36nA5fQ0DBgwIyiQtW7ZMjj/+eGnYsGH+fZot07Lcq1evNrc7depkhhvq69Chi4FsoGbPpk+fboYxVgaCJAAAAIQlnYejxb7sUzR02JwOw9Nr4Rx55JEyYcIEOeGEE+Soo46S66+/3gyte/3114Oe57333jNzYDTA0ZN4nTevc2VKo3OCmjRpEnSfnvBrgPXKK6+YQE2Dhvvuu888pkPLlPajw8Y0mNPgTYMknbcTCJR0mJ/unxYw0+F4GnDo63zwwQelV69eZh91yJnO6X/yySeD+td5Pvq67fOVmjdvftiVoZcuXWqGv2mQWZLff//d/D958mS58847zXuqc5I0SAvMK9q2bVtQgKQCt/UxpddM1Wun6uV+NFDVYYcvvPCCeW0nnniieY/18kHaR0SVAAcAAIBLpKeX/FjhbMaOHSWvG13oe/kQVYPT4l5aJGH27NnmZFyvpamZl0BgooGKzmnRoEMDFi2AoNkePeG20+Bj5syZkpGRIY899pjJUmmgVZoDBw4UyRppwbGHH37YZD00Y6XX7rzrrrvMPmmGRdWrV0/Gjx+fv42e+G/ZssVsp9klpYGTFjQL+O2338wcJy1qoJWeb7jhBpOl6dChQ5HKz5q50gxUgG5XGn2eQLEHnecUyOgEaCZIi1Pcc8895vWVROdSKZ2PFXjvNGDV+WIaEF577bVSFhoY2oNerSCofWtFbA1y9Xi/9dZb5n3TAhFOVfQjkwQAbqEXwtZvN3Vx6qLY0fEip7/uX7QNAKVJTi55KRQglLpuYmLZ1q1gAQctGLB//35zUq4ZiDPPPNM8poGHVmXTCnNffPGFueamZiLs1eL8u5NsshM61EsDLh2uVlqBsUCw8/fffxe5XwOgvXv3mipuu3btMgGG0kxWSfRkXwO8kmiAodknDUQ0ULrooovMUD19nYULnWnWRofslZVmbvR90eWDDz4IemzNmjWmArVmkA6VuQlkq9q1a5d/nwaJ+rr1vVBasGH79u1B2wVu62PF0ffzxhtvNMGWXipIX7seLy0AobedQiYJANwiNlbkoouc7SM6VqS5w33gsOlQHx3/X146zEZPnIBIMmzYMJNZefnll03WROft6JA1tWTJEhOkXH755ea2BhmalbGfyBemGZ/bb7/dnJxrtTjNzBRHh8Fp9bfiaP+BoXg69E4rxHXp0qXEPjVAKWlInAZrOhdIs0yBoEznJwX+12xZgA491PlPum9lpUMSi7N69WpTZU4r/Wmp80PR+VkaFK1du9ZkwgL7pyXPA5X4unfvbp5Lf8cFflfp/CMtdV7cMdE5Sb/++qsJfpW+VvtrdxJBEgAALqInD4MHj5A9e7LLvW3duvGyYME8AiVEFJ3jc/HFF5u5K1oAwF6koE2bNmZ+i86p0fkxjz76qMlclBYkKc1W6JykGTNmmDlNxdGMlPapgYs+d4Bmr3TekwZbOixM5xLpcL9AsYXnn3/ezLUJBDK6jmavNKNT3O+D+++/3wR7SvvRaxY9/vjjZuibBhE6vC1Ah81p5kazaQFa3EIDoWnTppX5PV21apUJkPQ1arAYmC+kryGQpdLiF/rcug/6/Bro6DBDHRqnQaEGRvpeBN5Ppfus770ORdQiDPq8mqEaN26cCbDsNNjTcuMaZAaGKupcLD0mur5mD/V4OoUgCQDcQi+mt2CBvz14sD+zFGq+PJHNB/toOtifWYKraAZJAySP5w5JSAi+DkppsrI2yZ49U832BEmINDrkTjMueo0iezEFPQHXggJ6sq/zkHTYmBZJOFSmVuck6Qm6nshrZkqHdxWmBR40O6QBkH2+zYcffmiyJTr3SYfvvfPOO2bej50WZdDiCtqPzqvSogh6PaTCNEN28803B70mrean2R29HpIGcjo3J0ADCr1OkZ0OdQsEGWX1xhtvyM6dO02mzJ4t08BHM0NK5z1p1sie0dGgSF+TBkE6Z0uHEX7++ef5QaQGWVrQQd9TzSrp+6qvJTCHzO7ee+81Q+q06EaAvmbN7uk8rMsuu+yQ88YOR5TWAZdqTL9R0OEH+mHQCBcAXCsjo6AErk6WruD4/FLlZYi8frCPYekisQ70gcOybt06Of/80VKr1jOSlNSmzNtlZq6TfftGy7vvPmO+PQfKQ7+137hxo7Rq1apIMQKUTKvTaaCimZfyBiKhFhgep8MJ9dw3kmWV8vNc1tiArxABAACACtBMh36xoZXzdIhZVdIS4zonK9IDpFAhSAIAAAAqSCuvuUHfvn2reheqFUqAAwAAAIANQRIAAAAA2BAkAQAAAIANQRIAAAAA2FC4AQDcwuMROXhVcdN2QrRH5JQ5BW0AAFAEQRIAuEVcnIjtSvGOiI4TOcrhPgAACHMMtwMAAAAAG4IkAHCLvDy9fLt/0bYTfHkif73vX7QNAKiw3bt3S4MGDSQ1NbWqd0VmzZol5513XlXvRrVBkAQAbpGdLXLuuf5F207wZYssPte/aBsAwpQGBGeffXaxj3311VcSFRUlK1euPOTzjBo1yqyrS1xcnLRq1UomTpwoWVlZh9x26tSpMmjQIGnZsmX+fQsXLpRTTz1VatasKY0aNZJbb71V8gp98aX71aNHD0lISJBmzZrJ9OnTgx7/9NNP5ZhjjpFatWrJFVdcITk5OfmPpaWlmcc2bdoUtM1VV10lP/zwg3nth+vnn3+WSy65xOxbYmKiHHfccfLEE08ccrs9e/bIZZddZva7du3acvXVV0t6errjr90JBEkAAAAIO3oCrifUmzdvLvLYnDlzpFu3btKxY8cyPZcGW1u3bpXff/9dHnvsMXn66aflnnvuKXWbzMxMee6558x+2IOLgQMHmuf78ccf5bXXXpN3331Xbrvttvx19u3bJ/369ZMWLVrIihUr5OGHH5bJkyfLM888Yx73+Xxy6aWXypgxY2TZsmWyfPny/MeUPpc+ptvbeTwes92///1vOVwrVqwwGbIXX3xRVq9eLXfccYdMmjRJnnzyyVK30wBJ19fj8t5778mXX34po0ePdvy1O8Kq5tLS0ix9mfo/ALhaerpl6a9lXbTthNx0y3pJ/Iu24Tq//fabdeyxPa2TTvrN6tnTKvOi6+t2uj1QXgcOHLDWrFlj/g+ivydKWvLKsW5uZtnWLYfc3FyrYcOG1pQpU4Lu379/v1WjRg1r5syZ1q5du6zhw4dbTZo0sRITE60OHTpYL7/8ctD6I0eOtAYNGhR035AhQ6zOnTuX2v/8+fOt+vXrB903adIkq1u3bkH3vfvuu1ZCQoK1b98+c/upp56y6tSpY2VnZ+evc+utt1pt27Y17e3bt5tz18CxmDhxojV27FjTXrJkidW1a1crLy+v2H1avHix5fF4rMzMQu93CIwdO9bq1atXiY/rz4/u9/fff59/34cffmhFRUVZf/31l+OvvUw/z+WIDcgkAQAAoHiv1yh5+Wpo8LpvNih53UUDgtd9p2Xx65VDbGysjBgxQubOnatf+uffP3/+fPF6vWa4mA6Z69q1q7z//vuyatUqk9XQIVzfffddic+r6y1dutRkZkqjw9r0ue2ys7PNMDI7Ha6m+6GZE6UZkjPOOCPo+fv37y9r166Vv//+W+rXry+NGzeWTz75xGSrtB/NiOXm5so//vEPk+WKiYkpdp80e6ZD+7799tv8+3r27GmGFB6utLQ0qVu3bomP6+vSIXa6DwF9+/aV6Ojo/P1x8rWHGkESAAAAwpLOw9mwYYMsXrw4aKjd0KFDJSUlRY488kiZMGGCnHDCCXLUUUfJ9ddfb4bCvf7660HPo0PDatSoYQKc448/Xnbs2CG33HJLqX3rvJgmTZoE3acn/BpgvfLKKyZQ++uvv+S+++4zj+lwPrVt2zZp2LBh0HaB2/qYzo3S/ZsyZYq0b99eOnfubF7ngw8+KL169TL7eNppp0nbtm2LDH9LSkoyr9s+Z6d58+Ym8DgcS5cuNUMH7UPnCtN91yF6hQNZDaz0Madfe6hxnSQAAAAUb1jwpPsgUYW+0R+6o+zfyw8KTTW4Y4891hRJmD17tsmYrF+/3mQfAoGJBioPPPCAOfHWgEWLAGi2R4MJOz0BnzlzpmRkZJg5SXpyr4FWaQ4cOFAka6TzbXSejc6b0YxVfHy83HXXXWafNKNSVqeffrp8//33+bd/++03mTdvnpnnpJmYG264QQYMGCAdOnQwt+1zrzRzpVmYAN2uNPo8gWIPOtdH5xQVzqxpcQqdo6Wvz2mH89pDiUwSAAAAihebXPISk1D2dWMTy7ZuBWjhhDfffFP2799vskhHH320nHnmmeYxDVi0KptWmPviiy/kp59+Mtkee8U0lZycLK1bt5ZOnTqZgEuHh2lRhtLUq1fPDBErbPz48bJ37175448/ZNeuXSbAUJrJUlrxbvv27UHbBG7rY8W59tpr5ZFHHjGFDTRYuOiii0zWRl+nPYsWqDCnw9bK6tlnnzXviy4ffPBB0GNr1qyRPn36mAzSnXfeWerz6L5rBs5Oh/7p/gRel9OvPZQIkgDALXSMtg4f0OUQY+ErLNoj0u1J/6JtAAhzw4YNM1mal19+2WQcdHiWDttSS5YsMUHK5ZdfbgIgDVQ0M1Eafa7bb7/dBAWaLSqJDgXTIKI42r8OxdOsjg6901LXXbp0MY91797dVH3TeTYBWg1Oh5DVqVOnyHNpsKZD1s4//3yTGVOBbfX/wH1Khx7q/Cfdt7LSIYkaIOpirxq3evVqk2EbOXKkKXV+KPq6NDgMzL1Sn3/+uQluTj75ZMdfe6gRJAGAW8TFiYwb51+07YToOJFjxvkXbQNAmNO5RBdffLEpUa3zfuxFCtq0aWNOwnVOza+//mqyEoUzGcXRbIUWCJgxY0aJ62hGSgOJwtkkzV798ssv5jGdW6PzabQsd6DggJa41sIFmgHTdXSuj2a7NANVmGZm7r//fvnPf/5jbmsgodcsevzxx00RBL0mk87RCdBhcxoIajYtQItb6HtTHqtWrTIBkg6v0/3S+UK67Ny5M38dLX6hwx11GKPS/dL5Xtdcc415TAPU6667ToYPH54/d8vJ1x5qBEkAAAAIa3rSrcGKBi72YgqaDdIMjt6vc5Z0SNcFF1xwyOfTOUl6gq8XOtV5SsXRAg/63IWLQHz44YfmYqla5U2r6r3zzjtBfWphBa3etnHjRlMd7+abb5a777672KIIOv9GH7e/Jq3m9+qrr8q5555rikuceOKJ+Y9p1kqDFDsd9hcoGlFWb7zxhgmI9DpJWvQhsNj70nlPWpXOnhV66aWXTOCkQ/T0elE6v8h+nSMnX3uoRWkdcKnG9KJVekC0bKFeuRcAXEuHDQSulN6jh4gTZU59XpGdB/uo30MkunJKqaLs1q1bJ+efP1pq1XpGkpLalHm7zMx1sm/faHn33WfMt+dAeegQLT1xbdWqVZFiBCiZBkF6sq6Zl/IUZnCCZmZ69+5thhPquW8kyyrl57mssQHV7QDALbKytMSSv52erjOJQ9+HL0tkYa+CqlXRDvQBABHinHPOMV9s6JAznXdUlTRbpHOyIj1AChWCJABARNDx7frNYXnpCUfha38AQMCNN94obqAXbkXoECQBACIiQBo8eITs2ZNd7m3r1o2XBQvmESgBQAQhSAIAVHuaQdIAyeO5QxISCkrcHkpW1ibZs2eq2Z4gCQAiB0ESACBiaIBUnmIIqtA1J4FqrZrX80KEsELwc0wJcAAAgAgXuIZPDt8KoBrIzMw0/8cdxjUHySQBAABEOL0uUFJSkrk2jp5YVnU5a6CiGSQNkHQeau3atfOD/4ogSAIAt9BvvKZPL2g7ISpO5ITpBW0A0F8HUVHmYqF6bZlNmzZV9e4Ah0UDJL1w8OEgSAIAt/B4RG65xdk+Yjwi7RzuA0BY8ng85kLEDLlDONNM6OFkkAIIkgAAAGDoMLuEhISq3g2gyhEkAYBbeL0iP/zgb3fpojOpQ9+Hzyvy98E+6nQRiXagDwAAwhxBEgC4RVaWyEkn+dvp6SLJyaHvw5cl8vHBPoali0Q70AcAAGGO0iUAAAAAYEOQBAAAAAA2BEkAAAAAYEOQBAAAAAA2BEkAAAAAYEOQBAAAAAA2lAAHALeIixO5556CthOi4kQ63FPQBgAARRAkAYBbeDwikyc720eMR6Sjw30AABDmGG4HAAAAADZkkgDALXw+kV9/9bePO04k2oHvsSyfSNrBPlKOE4niuzIAAAojSAIAtzhwQKRDB387PV0kOTn0fXgPiHxwsI9h6SKxDvQBAECY4ytEAAAAAHBLkDRz5kzp2LGj1KpVyyzdu3eXDz/8MP/xrKwsGTdunBxxxBFSo0YNGTp0qGzfvr0qdxkAAABANVelQVLTpk3lwQcflBUrVsjy5culd+/eMmjQIFm9erV5/KabbpL//ve/Mn/+fFm8eLFs2bJFhgwZUpW7DAAAAKCaq9I5Seedd17Q7alTp5rs0jfffGMCqOeee05efvllEzypOXPmyHHHHWceP+WUU4p9zuzsbLME7Nu3z+FXAQAAAKA6cc2cJK/XK6+++qpkZGSYYXeaXcrNzZW+ffvmr3PsscdK8+bNZdmyZSU+z7Rp0yQlJSV/adasWSW9AgAAAADVQZUHSb/88ouZbxQfHy9jxoyRBQsWSLt27WTbtm3i8Xikdu3aQes3bNjQPFaSSZMmSVpaWv7y559/VsKrAAAAAFBdVHkJ8LZt28pPP/1kApo33nhDRo4caeYfVZQGW7oAQNiJixOZMKGg7YSoOJHjJhS0AQCA+4IkzRa1bt3atLt27Srff/+9PPHEE3LxxRdLTk6O7N27NyibpNXtGjVqVIV7DAAO8XhEHn7Y2T5iPCKdHe4DAIAwV+XD7Qrz+Xym8IIGTHFxcbJw4cL8x9auXSt//PGHmbMEAAAAANUuk6TzhwYMGGCKMezfv99Uslu0aJF8/PHHpujC1VdfLePHj5e6deua6yhdf/31JkAqqbIdAIQ1n0/kjz/87ebNRaId+B7L8olkHOwjublIlOu+KwMAILKDpB07dsiIESNk69atJijSC8tqgHTWWWeZxx977DGJjo42F5HV7FL//v3lqaeeqspdBgDnHDgg0qqVv52eLpKcHPo+vAdE3j3Yx7B0kVgH+gAAIMxVaZCk10EqTUJCgsyYMcMsAAAAAFAZGGcBAAAAADYESQAAAABgQ5AEAAAAADYESQAAAABgQ5AEAAAAAG6pbgcAsImNFRk7tqDthKhYkTZjC9oAAKAI/kICgFvEx4s4fcmDmHiRE7msAgAApWG4HQAAAADYkEkCALewLJFdu/ztevVEoqKc6SP7YB/xDvUBAECYI0gCALfIzBRp0MDfTk8XSU4OfR/eTJG3DvYxLF0k1oE+AAAIcwy3AwAAAAAbgiQAAAAAsCFIAgAAAAAbgiQAAAAAsCFIAgAAAAAbgiQAAAAAsKEEOAC4RWysyMiRBW0nRMWKtBpZ0AYAAEXwFxIA3CI+XmTuXGf7iIkX6e5wHwAAhDmG2wEAAACADZkkAHALyxLJzPS3k5JEoqKc6cN7sI8Yh/oAACDMkUkCALfQAKlGDf8SCJZCTQOk12v4l0CwBAAAghAkAQAAAIANQRIAAAAA2BAkAQAAAIANQRIAAAAA2BAkAQAAAIANQRIAAAAA2HCdJABwi5gYkQsvLGg7ISpGpNmFBW0AAFAEQRIAuEVCgsj8+c72EZMg0sPhPgAACHMMtwMAAAAAGzJJAACUIi8vR1JTUyu0bU5Ojng8nnJto33l5Xkr1B8AIDQIkgDALTIyRGrU8LfT00WSk0PfR16GyOsH+xiWLhLrQB/VSG7ubtm8eZOMGTO53MGOBlfbt/8pDRu2lNjYss//ysnJlK1bd0vNmjkV2GMAQCgQJAEAUAKvd7/4fPHi8UySWrXalmvbtLQlkp09RWJjJ5ZrW93O650iPh/ZJACoKgRJAAAcQnx8c0lKalOubbKyUiu0bWA7AEDVoXADAAAAANgQJAEAAACADUESAAAAANgQJAEAAACADYUbAMAtYmJEBg4saDshKkakycCCNgAAKIIgCQDcIiFB5P33ne0jJkGkp8N9AAAQ5hhuBwAAAAA2BEkAAAAAYEOQBABukZEhkpzsX7TthLwMkdeS/Yu2AQBAEcxJAgA3ycx0vg9vJfQBAEAYI5MEAAAAADYESQAAAABgQ5AEAAAAADYESQAAAABgQ5AEAAAAADZUtwMAt4iOFjnzzIK2M52INDjYB9+TAQBQLIIkAHCLxESRRYuc7SM2UaSvw30AABDm+BoRAAAAAGwIkgAAAADALUHStGnT5MQTT5SaNWtKgwYN5IILLpC1a9cGrdOzZ0+JiooKWsaMGVNl+wwAjsnIEKlf379o2wl5GSJv1vcv2gYAAO4KkhYvXizjxo2Tb775Rj799FPJzc2Vfv36SUahk4NrrrlGtm7dmr9Mnz69yvYZABy1a5d/cVL2Lv8CAADcV7jho48+Cro9d+5ck1FasWKFnHHGGfn3JyUlSaNGjapgDwEAAABEGlfNSUpLSzP/161bN+j+l156SerVqycdOnSQSZMmSWZmZonPkZ2dLfv27QtaAAAAACDsSoD7fD658cYb5bTTTjPBUMCll14qLVq0kCZNmsjKlSvl1ltvNfOW3nrrrRLnOd17772VuOcAAAAAqhPXBEk6N2nVqlXy9ddfB90/evTo/Pbxxx8vjRs3lj59+siGDRvk6KOPLvI8mmkaP358/m3NJDVr1szhvQcAAABQXbgiSLruuuvkvffeky+//FKaNm1a6ronn3yy+X/9+vXFBknx8fFmAQAAAICwC5Isy5Lrr79eFixYIIsWLZJWrVodcpuffvrJ/K8ZJQCoVqKjRbp1K2g704lI3W5unJYKAIBrxFb1ELuXX35Z3nnnHXOtpG3btpn7U1JSJDEx0Qyp08cHDhwoRxxxhJmTdNNNN5nKdx07dqzKXQeA0EtMFPn+e2f7iE0UOdvhPgAACHNVGiTNnDkz/4KxdnPmzJFRo0aJx+ORzz77TB5//HFz7SSdWzR06FC58847q2iPAQAAAFR3VT7crjQaFOkFZwEAAACgsjAgHQDcQq8B17KlfynlenCHJS9T5J2W/kXbAADAndXtAAAmvS6yaVNB25lORDI2FbQBAEARZJIAAAAAwIYgCQAAAABsCJIAAAAAwIYgCQAAAABsCJIAAAAAwIbqdgDgFlFRIu3aFbSd6UQkpV1BGwAAFEGQBABukZQksnq1s33EJomc43AfAACEOYbbAQAAAIANQRIAAAAA2BAkAYBbZGaKtG/vX7TthLxMkffb+xdtAwCAIpiTBABuYVkia9YUtJ3pRCRtTUEbAAAUQSYJAAAAAGwIkgAAAADAhiAJAAAAAGwIkgAAAADAhiAJAAAAAGyobgcAbhEVJdKiRUHbmU5EklsUtAEAQBEESQDgFklJIqmpzvYRmyQyyOE+AAAIcwy3AwAAAAAbgiQAAAAAsCFIAgC3OHBA5MQT/Yu2nZB3QOSjE/2LtgEAQBHMSQIAt/D5RJYvL2g704nInuUFbQAAUASZJAAAAACwIUgCAAAAABuCJAAAAACwIUgCAAAAABuCJAAAAACwobodALhJvXrO9xFfCX0AABDGCJIAwC2Sk0V27nS2j9hkkaEO9wEAQJhjuB0AAAAA2BAkAQAAAIANQRIAuMWBAyI9e/oXbTsh74DIZz39i7YBAEARzEkCALfw+UQWLy5oO9OJyI7FBW0AAFAEmSQAAAAAsCFIAgAAAAAbgiQAAAAAsCFIAgAAAAAbgiQAAAAAsKG6HQC4SVKS833EVEIfAACEMYIkAHCL5GSRjAxn+4hNFrnY4T4AAAhzDLcDAAAAABuCJAAAAACwYbgdALhFVpbI0KH+9ptviiQkhL4Pb5bIVwf76PGmSIwDfaDK5OXlSGpqarm3S0lJkQYNGjiyTwAQjgiSAMAtvF6RDz4oaDvB8ops+aCgjWojN3e3bN68ScaMmSwej6dc29atGy8LFswjUAKAgwiSAACoBrze/eLzxYvHM0lq1Wpb5u2ysjbJnj1TJS0tjSAJAA4iSAIAoBqJj28uSUltyrVNTo5juwMAYYnCDQAAAABgQ5AEAAAAADYESQAAAABgQ5AEAAAAADYUbgAAt0hOFrEsZ/uITRa51OE+AACIxEzS77//Hvo9AQAAAIBwDZJat24tvXr1khdffFGy9ArxFTRt2jQ58cQTpWbNmubaDBdccIGsXbs2aB19/nHjxskRRxwhNWrUkKFDh8r27dsr3CcAAAAAhDxI+uGHH6Rjx44yfvx4adSokVx77bXy3Xfflft5Fi9ebAKgb775Rj799FPJzc2Vfv36SUZGRv46N910k/z3v/+V+fPnm/W3bNkiQ4YMqchuA4C76ZdOF13kXw7jC6hSebNEvrrIv2gbAACEJkg64YQT5IknnjABy+zZs2Xr1q1y+umnS4cOHeTRRx+VnTt3lul5PvroIxk1apS0b99eOnXqJHPnzpU//vhDVqxYYR7Xq38/99xz5jl79+4tXbt2lTlz5sjSpUtNYAUA1YrXK/LGG/5F206wvCJ/vuFftA0AAEJb3S42NtZkdTTL89BDD8n69etlwoQJ0qxZMxkxYoQJnspDgyJVt25d878GS5pd6tu3b/46xx57rDRv3lyWLVtW7HNkZ2fLvn37ghYAAAAAqJQgafny5TJ27Fhp3LixyfZogLRhwwYzdE6zTIMGDSrzc/l8PrnxxhvltNNOMxkptW3bNvF4PFK7du2gdRs2bGgeK2meU0pKSv6iARsAAAAAOFoCXAMiHfamRRYGDhwo8+bNM/9HR/tjrlatWpmhcy1btizzc+rcpFWrVsnXX38th2PSpElmrlSAZpIIlAAAAAA4GiTNnDlTrrrqKjOfSLNIxdFqdTqfqCyuu+46ee+99+TLL7+Upk2b5t+vRSFycnJk7969QdkkrW6njxUnPj7eLAAAAABQaUHSunXrDrmODpMbOXJkqetYliXXX3+9LFiwQBYtWmQyUHZaqCEuLk4WLlxoSn8rzV5pcYfu3btXZNcBAAAAIPRBkg6102sWXaRlam20gENmZuYhgyP7ELuXX35Z3nnnHXOtpMA8I51LlJiYaP6/+uqrzfA5LeZQq1YtE1RpgHTKKadUZNcBAAAAIPSFG7Q4Qr169YodYvfAAw+Ua9ieVrTr2bOnGbYXWF577bX8dR577DE599xzTSbpjDPOMMPs3nrrrYrsNgC4W1KSSHq6f9G2E2KSRIal+xdtAwCA0GSSdLhb4aFxqkWLFuaxstLhdoeSkJAgM2bMMAsAVGtRUSLJyc73EetwHwAARGImSTNGK1euLHL/zz//LEcccUQo9gsAAAAAwidIuuSSS+Sf//ynfPHFF+L1es3y+eefyw033CDDhw8P/V4CQCTIzhYZNcq/aNsJ3myRZaP8i7YBAEBohttNmTJFUlNTpU+fPhIbG5t/MdgRI0aUa04SAMAmL0/k+ef9bR1i7MTlDKw8kY0H+zhRhzFzyQQAAEISJGl5by2uoMGSDrHTSnTHH3+8mZMEAAAAABEXJAUcc8wxZgEAAACAiA6SdA7S3LlzzUVed+zYYYba2en8JAAAAACImCBJCzRokHTOOedIhw4dJEpLygIAAABApAZJr776qrz++usycODA0O8RAAAAAIRbCXAt3NC6devQ7w0AAAAAhGOQdPPNN8sTTzwhlmWFfo8AIFIlJYns2OFftO2EmCSRITv8i7YBAEBohtt9/fXX5kKyH374obRv317i4uKCHn/rrbcq8rQAENl0fmf9+s73keBwHwAARGKQVLt2bRk8eHDo9wYAAAAAwjFImjNnTuj3BAAiXXa2yPjx/vajj4rEx4e+D2+2yA8H++jyqEiMA30AABCJc5JUXl6efPbZZ/L000/L/v37zX1btmyR9PT0UO4fAESOvDyRp57yL9p2gpUnsu4p/6JtAAAQmkzSpk2b5Oyzz5Y//vhDsrOz5ayzzpKaNWvKQw89ZG7PmjWrIk8LAAAAAOGZSdKLyXbr1k3+/vtvSUxMzL9f5yktXLgwlPsHAAAAAO7PJH311VeydOlSc70ku5YtW8pff/0Vqn0DAAAAgPDIJPl8PvF6vUXu37x5sxl2BwAAAAARFST169dPHn/88fzbUVFRpmDDPffcIwMHDgzl/gEAAACA+4fbPfLII9K/f39p166dZGVlyaWXXirr1q2TevXqySuvvBL6vQQAAAAANwdJTZs2lZ9//lleffVVWblypckiXX311XLZZZcFFXIAAJSD/v7cuLGg7YSYRJHzNxa0AQBAaIIks2FsrFx++eUV3RwAUFh0tFbAcbaPqGiRGg73AQBAJAZJ8+bNK/XxESNGVHR/AAAAACD8giS9TpJdbm6uZGZmmpLgSUlJBEkAUBE5OSJ33OFvT50qUugyCyHhzRFZebCPjlNFYhzoAwCASKxupxeRtS86J2nt2rVy+umnU7gBACoqN1fkX//yL9p2gpUr8uu//Iu2AQBAaIKk4rRp00YefPDBIlkmAAAAAIjIIClQzGHLli2hfEoAAAAAcP+cpHfffTfotmVZsnXrVnnyySfltNNOC9W+AQAAAEB4BEkXXHBB0O2oqCipX7++9O7d21xoFgAAAAAiKkjy+Xyh3xMAAAAAqG5zkgAAAAAgIjNJ48ePL/O6jz76aEW6AIDIk5gosmpVQdsJMYkiA1cVtAEAQGiCpB9//NEsehHZtm3bmvt+++03iYmJkS5dugTNVQIAlFF0tEj79s72ERUtUtvhPgAAiMQg6bzzzpOaNWvK888/L3Xq1DH36UVlr7zySunRo4fcfPPNod5PAAAAAHDvnCStYDdt2rT8AElp+/7776e6HQBUVE6OyOTJ/kXbTvDmiKyc7F+0DQAAQpNJ2rdvn+zcubPI/Xrf/v37K/KUAIDcXJF77/W3b7lFxOMJfR9Wrsiqg320u0VEHOgDAIBIzCQNHjzYDK176623ZPPmzWZ588035eqrr5YhQ4aEfi8BAAAAwM2ZpFmzZsmECRPk0ksvNcUbzBPFxpog6eGHHw71PgIAAACAu4OkpKQkeeqpp0xAtGHDBnPf0UcfLcnJyaHePwAAAAAIn4vJbt261Sxt2rQxAZJlWaHbMwAAAAAIlyBp9+7d0qdPHznmmGNk4MCBJlBSOtyO8t8AAAAAIi5IuummmyQuLk7++OMPM/Qu4OKLL5aPPvoolPsHAAAAAO6fk/TJJ5/Ixx9/LE2bNg26X4fdbdq0KVT7BgCRJSFB5LvvCtpOiE4Q6f9dQRsAAIQmSMrIyAjKIAXs2bNH4uPjK/KUAICYGJETT3S2j+gYkSMc7gMAgEgMknr06CHz5s2TKVOmmNtRUVHi8/lk+vTp0qtXr1DvIwCgGtqxY4ekpaWVe7uUlBRp0KCBI/sEAECFgyQNhrRww/LlyyUnJ0cmTpwoq1evNpmkJUuW8M4CQEXk5Ig88YS/fcMNIh5P6Pvw5oisPdhH2xtEYhzoo4wB0uDBI2TPnuxyb1u3brwsWDCPQAkA4K4gqUOHDvLbb7/Jk08+KTVr1pT09HQZMmSIjBs3Tho3bhz6vQSASKAX55440d8eO9aZIMnKFfnpYB/HjBWRqgmSNIOkAZLHc4ckJLQo83ZZWZtkz56pZnuCJACAa4Kk3NxcOfvss2XWrFlyxx13OLNXAICIoAFSUlKbcifcAABwVQlwLf29cuVKZ/YGAAAAAMLxOkmXX365PPfcc6HfGwAAAAAIxzlJeXl5Mnv2bPnss8+ka9eukpycHPT4o48+Gqr9AwAAAAD3Bkm///67tGzZUlatWiVdunQx92kBBzstBw4AAAAAEREktWnTRrZu3SpffPGFuX3xxRfLv//9b2nYsKFT+wcAAAAA7g2SLMsKuv3hhx9KRkZGqPcJACJTQoLIwS+hTNsJ0Qkifb4oaAMAgNAUbigpaCqvL7/8Us477zxp0qSJGab39ttvBz0+atQoc7990fLjAFAtxcSI9OzpX7TthOgYkYY9/Yu2AQDA4QVJgUCl8H0VpVmoTp06yYwZM0pcR4MiHeIXWF555ZUK9wcAAAAAIR9up9md+Ph4czsrK0vGjBlTpLrdW2+9VabnGzBggFlKo301atSoPLsJAOEpN1fkmWf87dGj9cJ0oe/Dlyuy/mAfrUeLRDvQBwAAkRQkjRw5ssj1kpy2aNEiadCggdSpU0d69+4t999/vxxxxBElrp+dnW2WgH379jm+jwAQEjk5Itdd52+PGuVQkJQjsvxgH0eNCssgKS8vR1JTU8u1ja6fl+d1bJ8AABEcJM2ZM0cqkw61GzJkiLRq1Uo2bNggt99+u8k8LVu2TGJKGK8/bdo0uffeeyt1PwEAlSM3d7ds3rxJxoyZLB6Pp8zb5eRkytatu6VmzRxH9w8AEMEXk60sw4cPz28ff/zx0rFjRzn66KNNdqlPnz7FbjNp0iQZP358UCapWbNmlbK/AABneb37xeeLF49nktSq1bbM26WlLRGvd4r4fGSTAABhHiQVdtRRR0m9evVk/fr1JQZJOocpMGcKAFA9xcc3l6SkNmVePyurfMPzAACR7bBKgFe2zZs3y+7du6Vx48ZVvSsAAAAAqqkqzSSlp6ebrFDAxo0b5aeffpK6deuaRecWDR061FS30zlJEydOlNatW0v//v2rcrcBAAAAVGNVGiQtX75cevXqlX87MJdIq+jNnDlTVq5cKc8//7zs3bvXXHC2X79+MmXKFIbTAQAAAKieQVLPnj3NtZdK8vHHH1fq/gBAldIvgN57r6DthOh4kTPfK2gDAIDwLtwAANVabKzIOec420d0rMiRDvcBAECYC6vCDQAAAADgNDJJAOAWubkiL73kb192mUhcXOj78OWKpB7so+VlItEO9AEAQJgjSAIAt8jJEbnySn/7ooscCpJyRL452EfziwiSAAAoBsPtAAAAAMCGIAkAAAAAbAiSAAAAAMCGIAkAAAAAbAiSAAAAAMCGIAkAAAAAbCgBDgBuER8v8vrrBW0nRMeLnP56QRsAABRBkAQAbhEb678+kpOiY/3XRwIAACViuB0AAAAA2JBJAgC3yMsTWbDA3x482J9ZCjVfnsjmg300HezPLAEAgCD8dQQAt8jOFhk2zN9OT3coSMoW+fpgH8PSCZIAACgGw+0AAAAAwIYgCQAAAABsCJIAAAAAwIYgCQAAAABsCJIAAAAAwIYgCQAAAABsqP0KAG7h8YjMmVPQdkK0R+SUOQVtAABQBEESALhFXJzIqFHO9hEdJ3KUw30AABDmGG4HAAAAADZkkgDALfLyRD7+2N/u318k1oFf0b48ka0H+2jcXySaPwMAABTGX0cAcIvsbJFzz/W309MdCpKyRRYf7GNYOkESAADFYLgdAAAAANgQJAEAAACADUESAAAAANgQJAEAAACADUESAAAAANgQJAEAAACADbVfAcAtPB6RJ58saDsh2iPS7cmCNgAAKIIgCQDcIi5OZNw4Z/uIjhM5xuE+AAAIcwy3AwAAAAAbMkkA4BZer8hXX/nbPXqIxMSEvg+fV2TnwT7q9xCJdqAPAADCHEESALhFVpZIr17+dnq6SHJy6PvwZYksPNjHsHSRaAf6AAAgzDHcDgAAAABsCJIAAAAAwIYgCQAAAABsCJIAAAAAwIYgCQAAAABsCJIAAAAAwIYS4ADgFnFxItOnF7SdEBUncsL0gjYgInl5OZKamlru7VJSUqRBgwaO7BMAVCWCJABwC49H5JZbnO0jxiPSzuE+EFZyc3fL5s2bZMyYyeLRn8FyqFs3XhYsmEegBKDaIUgCACCCeb37xeeLF49nktSq1bbM22VlbZI9e6ZKWloaQRKAaocgCQDcwusV+eEHf7tLF5GYmND34fOK/H2wjzpdRKId6ANhKT6+uSQltSnXNjk5ju0OAFQpgiQAcIusLJGTTvK309NFkpND34cvS+Tjg30MSxeJdqAPAADCHNXtAAAAAMCGIAkAAAAAbAiSAAAAAMCGIAkAAAAAbAiSAAAAAMAtQdKXX34p5513njRp0kSioqLk7bffDnrcsiy5++67pXHjxpKYmCh9+/aVdevWVdn+AgAAAKj+qjRIysjIkE6dOsmMGTOKfXz69Ony73//W2bNmiXffvutJCcnS//+/SVLy+QCQHUTFydyzz3+RdtOiIoT6XCPf9E2AABw13WSBgwYYJbiaBbp8ccflzvvvFMGDRpk7ps3b540bNjQZJyGDx9eyXsLAA7zeEQmT3a2jxiPSEeH+wAAIMy59mKyGzdulG3btpkhdgEpKSly8skny7Jly0oMkrKzs80SsG/fvkrZXwCIVDt27JC0tLRybZOamip5eV7H9gkAgGoZJGmApDRzZKe3A48VZ9q0aXLvvfc6vn8AEHI+n8ivv/rbxx0nEu3AiGjLJ5J2sI+U40Siog87QBo8eITs2VPw5VRZ5ORkytatu6VmzZzD6h8AgIgKkipq0qRJMn78+KBMUrNmzap0nwCgTA4cEOnQwd9OTxdJTg59H94DIh8c7GNYukjs4fWhGSQNkDyeOyQhoUU5tlsiXu8U8fnIJgEA3Me1QVKjRo3M/9u3bzfV7QL09gknnFDidvHx8WYBAFQeDZCSktqUef2srFRH9wcAgGp5naRWrVqZQGnhwoVBWSGtcte9e/cq3TcAAAAA1VeVZpLS09Nl/fr1QcUafvrpJ6lbt640b95cbrzxRrn//vulTZs2Jmi66667zDWVLrjggqrcbQAAAADVWJUGScuXL5devXrl3w7MJRo5cqTMnTtXJk6caK6lNHr0aNm7d6+cfvrp8tFHH0lCQkIV7jUAAACA6qxKg6SePXua6yGVJCoqSu677z6zAAAAAEBEz0kCAAAAgKrg2up2ABBx4uJEJkwoaDshKk7kuAkFbQAAUARBEgC4hccj8vDDzvYR4xHp7HAfAACEOYbbAQAAAIANmSQAcAufT+SPP/zt5s1Foh34HsvyiWQc7CO5uUgU35UBAFAYQRIAuMWBA3olbX87PV0kOTn0fXgPiLx7sI9h6SKxDvQBAECY4ytEAAAAALAhSAIAAAAAG4IkAAAAALAhSAIAAAAAG4IkAAAAALAhSAIAAAAAG0qAA4BbxMaKjB1b0HZCVKxIm7EFbQAAUAR/IQHALeLjRWbMcLaPmHiREx3uAwCAMMdwOwAAAACwIZMEAG5hWSK7dvnb9eqJREU500f2wT7iHeoDAIAwR5AEAG6RmSnSoIG/nZ4ukpwc+j68mSJvHexjWLpIrAN9AAAQ5hhuBwAAAAA2ZJIAAMaOHTskLS2tXNukpqZKXp7XsX2Cu+Xl5ZifgfJKSUmRBoGsKQC4EEESAMAESIMHj5A9e7LLtV1OTqZs3bpbatbMcWzf4E65ubtl8+ZNMmbMZPF4POXatm7deFmwYB6BEgDXIkgCAJgMkgZIHs8dkpDQohzbLRGvd4r4fGSTIo3Xu198vnjxeCZJrVpty7xdVtYm2bNnqvmZI0gC4FYESQCAfBogJSW1KfP6WVnlH2qF6iU+vnm5fmZUDolHAC5H4QYAAAAAsCGTBABuERsrMnJkQdsJUbEirUYWtAEAQBH8hQQAt4iPF5k719k+YuJFujvcBwAAYY7hdgAAAABgQyYJANzCskQyM/3tpCSRqChn+vAe7CPGoT4AAAhzZJIAwC00QKpRw78EgqVQ0wDp9Rr+JRAsAQCAIARJAAAAAGBDkAQAAAAANgRJAAAAAGBDkAQAAAAANgRJAAAAAGBDkAQAAAAANlwnCQDcIiZG5MILC9pOiIoRaXZhQRsAABRBkAQAbpGQIDJ/vrN9xCSI9HC4DwAAwhzD7QAAAADAhiAJAAAAAGwIkgDALTIyRKKi/Iu2nZCXIfJylH/RNgAAKIIgCQAAAABsCJIAAAAAwIYgCQAAAABsCJIAAAAAwIYgCQAAAABsuJgsALjUjh07JC0trdzb5eTkiMfjKfaxKG+mtD7YXr9+vVgxSaadmpoqeXnew9pfoKzy8nLMz1x5paSkSIMGDRzZJwCwI0gCALeIiREZONA0d+zeLYMvGS179mSX++Rz+/Y/pWHDlhIbG1PkcU+MV/59UV3T/ucD10uO179OTk6mbN26W2rWzAnJSwFKkpu7WzZv3iRjxkwuMZgvSd268bJgwTwCJQCOI0gCALdISBB5/33TTFu3zgRIHs8dkpDQosxPkZa2RLKzp0hs7ESpVattsetM/OBgd8kiCbbtvN4p4vORTYKzvN794vPFi8czqcSf0eJkZW2SPXummuwqQRIApxEkAYCLaYCUlNSmzOtnZfmHMMXHN6/QdkBlKe/PqMoh0QmgklC4AQAAAABsCJIAwC0yMkSSk80SlZnpSBcJsRnywahks2gbAAAUxXA7AHATh4Iju8Q45/sAACCckUkCAAAAABuCJAAAAACwIUgCAAAAgHAJkiZPnixRUVFBy7HHHlvVuwUAAACgGnN94Yb27dvLZ599ln87Ntb1uwwAAAAgjLk+4tCgqFGjRlW9GwDgvOhokTPPLGg7wGdFy09bzsxvAwCAMAyS1q1bJ02aNJGEhATp3r27TJs2TZo3b17i+tnZ2WYJ2LdvXyXtKQAcpsREkUWLTNNat86RLnK8iXLT+/4+AABA8Vz9NeLJJ58sc+fOlY8++khmzpwpGzdulB49esj+/ftL3EaDqJSUlPylWbNmlbrPAAAAAMKbq4OkAQMGyEUXXSQdO3aU/v37ywcffCB79+6V119/vcRtJk2aJGlpafnLn3/+Wan7DAAAACC8uX64nV3t2rXlmGOOkfXr15e4Tnx8vFkAIOxkZIi0bGmaUbaCNaGUEJshrwz393HJq6mSlZfsSD8AAIQzV2eSCktPT5cNGzZI48aNq3pXAMAZu3b5FwfVTtxlFgAAEIZB0oQJE2Tx4sWSmpoqS5culcGDB0tMTIxccsklVb1rAAAAAKopVw+327x5swmIdu/eLfXr15fTTz9dvvnmG9MGAAAAgIgLkl599dWq3gUAAAAAEcbVw+0AAAAAoLIRJAEAAABAuAy3A4CIEh0t0q1bQdsBPita/rezW34bAAAURZAEAG6RmCjy/femaa1b50gXOd5E+cfb/j4AAEDx+BoRAAAAAGzIJAFAGe3YsUPS0tLKvV1KSoo0aNDAkX0CIkleXo65dmJlfQYr+pnPyckRj8dT7u34XQG4B0ESAJTxZGnw4BGyZ092ubetWzdeFiyYd+iTn8xMkXbtTDPq3XfFCfExmTL3In8fo+avkWxvkiP9AKGWm7tbNm/eJGPGTC53AFLmz2AIPvMayG3f/qc0bNhSYmNjHN9PAM4gSAKAMtBvk/VkyeO5QxISWpR5u6ysTbJnz1Sz/SFPfCxLZNOmgrYDoqIsaVRzU34bCBde737x+eLF45kktWq1deYzGILPfFraEsnOniKxsRMrZT8BOIMgCQDKQU+WkpLalGubnBzHdgeIOPHxzSv1M1jez3xWVmqV7CeA0KJwAwAAAADYECQBAAAAgA1BEgAAAADYECQBAAAAgA2FGwDALaKi8kuAm7YDLCtKUv9ul98GAABFESQBgFskJYmsXm2a1rp1jnSh10W68g1/HwAAoHgMtwMAAAAAG4IkAAAAALAhSAIAt8jMFGnf3ixRBw440kV8TKbMubC9WbQNAACKYk4SALiFZYmsWVPQdkBUlCUt66zJbwMAgKLIJAEAAACADUESAAAAANgQJAEAAACADUESAAAAANgQJAEAAACADdXtAMAtoqJEWrQoaDvAsqJk2/4W+W0AAFAUQRIAuEVSkkhqqmla69Y50kW2N0kuedXfBwAAKB7D7QAAAADAhiAJAAAAAGwIkgDALQ4cEDnxRLNEZWU50oUn5oDMvOBEs2gbAAAUxZwkAHALn09k+fKCtgOio3xybP3l+W0AAFAUmSQAAAAAsCFIAgAAAAAbgiQAAAAAsCFIAgAAAAAbgiQAAAAAsKG6HQC4Sb16jnex94DzfQAAEM4IkgDALZKTRXbuNE1r3TpHusjKS5bBL/r7AAAAxWO4HQAAAADYECQBAAAAgA1BEgC4xYEDIj17miUqK8uRLjwxB+Sxc3qaRdsAAKAo5iQBgFv4fCKLFxe0HRAd5ZMTmizObwMAgKLIJAEAAACADUESAAAAANgQJAEAAACADXOSKtmOHTskLS2t3NulpKRIgwYNHNmncMd7GpkqetxVTk6OeDyecm2TmpoqeXneCvWXl5djtj+UqMxMaX2wvWnTpgr3B6Bin8FQfeaB6nwusyOM9vVwECRV8g/V4MEjZM+e7HJvW7duvCxYMC+sfrgqA+9pZDqc464nS9u3/ykNG7aU2NiYMm+Xk5MpW7fulpo1c8rVX27ubtm8eZOMGTP5kIFZos8rPxxs33DDffLX9r3l7g9AxT+DofjMA9X5XGZHGO3r4SJIqkQadesPlcdzhyQktCjzdllZm2TPnqlm+3D5waosvKeRqaLH3b/tEsnOniKxsROlVq225drO650iPl/5vln2eveLzxcvHs+kQ/aX4M2UA9HdTTsu7hrxeqeXu7+yOJCbFPLnBNyqPJ/BUHzmgep8LpMWRvt6uAiSqoD+UCUltSnXNjl8kVUq3tPIVJHjnpXlH3ITH9+8XNsGtquosvY38IxM879vz6fihKy8ZBk4N8OR5wbcrLI/80B1PpdJCKN9rSgKNwAAAACADUESAAAAANgQJAGAS8R5s2TaynPM4vE5My4hLiZLpvU/xyzaBgAARTEnCQBcIka8csqeD/ztJtc600eUV05pfrCPKK/kOtILAADhjUwSAAAAANgQJAEAAABAuAVJM2bMkJYtW0pCQoKcfPLJ8t1331X1LgEAAACoplwfJL322msyfvx4ueeee+SHH36QTp06Sf/+/c0VfwEAAAAg4oKkRx99VK655hq58sorpV27djJr1ixJSkqS2bNnV/WuAQAAAKiGXF3dLicnR1asWCGTJk3Kvy86Olr69u0ry5YtK3ab7OxsswSkpaWZ//ft2ydVLT09XbzePMnIWCNeb3qZt8vK+kNycg7I6tWrzXOgwKZNmyQnJ5v3NMJU9LirzMz1Ylk+ycz8n8TGel21XY43UwK/qTIzf3ekv5yYTNmX6W/v2/eTZHuTKu31RdJ24bSvbOeO7fi7FLnC6Vxm02Hsq54D635W9Tl5oH/LskpdL8o61BpVaMuWLXLkkUfK0qVLpXv37vn3T5w4URYvXizffvttkW0mT54s9957byXvKQAAAIBw8eeff0rTpk3DM5NUEZp10jlMAT6fz0S9J5xwgnkzatWqVaX7h4IovlmzZhwTl+G4uA/HxJ04Lu7DMXEnjov7RPoxsSxL9u/fL02aNCl1PVcHSfXq1ZOYmBjZvn170P16u1GjRsVuEx8fbxY7HaKn9AchEn8Y3Ixj4k4cF/fhmLgTx8V9OCbuxHFxn0g+JikpKeFduMHj8UjXrl1l4cKFQZkhvW0ffgcAAAAAoeLqTJLSoXMjR46Ubt26yUknnSSPP/64ZGRkmGp3AAAAABBxQdLFF18sO3fulLvvvlu2bdtm5hZ99NFH0rBhwzI/hw6/0+ssFR6Gh6rDMXEnjov7cEzciePiPhwTd+K4uA/HpGxcXd0OAAAAACqbq+ckAQAAAEBlI0gCAAAAABuCJAAAAACwIUgCAAAAgHAPkvbs2SOXXXaZuQBW7dq15eqrr5b09PRSt3nmmWekZ8+eZpuoqCjZu3dvhZ535cqV0qNHD0lISDBXK54+fXrIX1+kHJOsrCwZN26cHHHEEVKjRg0ZOnRo0IWD586da45VccuOHTvMOosWLSr2ca2ECGeOiyruPX/11VeD1tFj06VLF1M9p3Xr1uZ4wplj8vPPP8sll1xificlJibKcccdJ0888UTQc/BZCTZjxgxp2bKl+V1+8skny3fffVfq+vPnz5djjz3WrH/88cfLBx98EPS41kDSKqyNGzc2x6Bv376ybt26wz72kSaUxyU3N1duvfVWc39ycrI0adJERowYIVu2bAl6Du2v8OfiwQcfdOw1RvpnZdSoUUXe77PPPjtoHT4rlX9cSjrfevjhhyP3s2KFobPPPtvq1KmT9c0331hfffWV1bp1a+uSSy4pdZvHHnvMmjZtmln0Zf/999/lft60tDSrYcOG1mWXXWatWrXKeuWVV6zExETr6aeftiJdRY7JmDFjrGbNmlkLFy60li9fbp1yyinWqaeemv94ZmamtXXr1qClf//+1plnnpm/zhdffGGO59q1a4PW83q9jr7ecOHEcVH6ns+ZMyfoPT9w4ED+47///ruVlJRkjR8/3lqzZo31n//8x4qJibE++ugjK9I5cUyee+4565///Ke1aNEia8OGDdYLL7xgfjfp+x7AZ6XAq6++ank8Hmv27NnW6tWrrWuuucaqXbu2tX379mLXX7Jkifn5nT59uvl5vvPOO624uDjrl19+yV/nwQcftFJSUqy3337b+vnnn63zzz/fatWqVdDnoiLHPpKE+rjs3bvX6tu3r/Xaa69Z//vf/6xly5ZZJ510ktW1a9eg52nRooV13333BX0u0tPTK+U1R+JnZeTIkeazYH+/9+zZE/Q8fFYq/7gUPt+aPXu2FRUVZf6mROpnJeyCJD24+of++++/z7/vww8/NAfyr7/+OuT2gROFwkFSWZ73qaeesurUqWNlZ2fnr3Prrbdabdu2tSJZRY6J/vHSD+j8+fPz7/v111/N8+gfsuLs2LHDbDNv3rxDHk84e1z09oIFC0rse+LEiVb79u2D7rv44otNkBvJKuuzosaOHWv16tUr/zaflQJ6ojxu3Lj82xooNmnSxHyJVpxhw4ZZ55xzTtB9J598snXttdeats/nsxo1amQ9/PDDQcctPj7efJkWir9dkSDUx6U43333nTkOmzZtCjrx0y9SUTnHRIOkQYMGldgnnxV3fFYGDRpk9e7dO+i+SPushN1wu2XLlpnUa7du3fLv02EN0dHR8u233zr6vLrOGWecIR6PJ3+d/v37y9q1a+Xvv/+WSFWRY7JixQozFELXC9A0cPPmzc3zFWfevHmSlJQkF154YZHH9CLDOszlrLPOkiVLloTkdYU7p4+LDv+qV6+enHTSSTJ79mwz3Mjet/05Ap+Vko5tpKisz4pKS0uTunXrFrk/0j8rOTk55j21v5/6/uvtkt7PQ/08b9y40QxbtK+TkpJihsAE1nHqb1d14cRxKelzoUOE9FjY6ZAhHc7auXNnM7woLy9PIp2Tx0SH/zZo0EDatm0r//jHP2T37t1Bz8FnpWo/Kzqc+/333zfDHAuLpM9KrIQZ/UOkHyy72NhYczJwOGPry/K8+n+rVq2C1mnYsGH+Y3Xq1JFIVJFjovdrsFn4D5W+nyVt89xzz8mll15qxvsH6MnerFmzzC/T7OxsefbZZ83cM/1FqvNhIpmTx+W+++6T3r17m6D1k08+kbFjx5rx4v/85z/znyfw2bA/x759++TAgQNBxzCSVNZnZenSpfLaa6+ZP3IBfFb8du3aJV6vt9ifz//973/FblPSz7P9b0PgvtLWceJvV3XhxHEpbm6fzlHS+Xs61yVAf2/pZ0CPhX52Jk2aJFu3bpVHH31UIplTx0TnHw0ZMsScT23YsEFuv/12GTBggDlhj4mJ4bPigs/K888/LzVr1jTHyS7SPiuuCZJuu+02eeihh0pd59dff620/YG7jon+8tS+XnjhhaD79VsoXQJOPfVU80v3scceK7JudeGG43LXXXflt/XbpIyMDPONUiBIijRuOCYBq1atkkGDBsk999wj/fr1i+jPChCg2dhhw4aZjPfMmTODHhs/fnx+u2PHjuZLiWuvvVamTZtmCs8gtIYPH57f1gIC+p4fffTRJrvUp0+fKt03+OnokMsuu8wUeYjkz4prgqSbb77ZVDwpzVFHHSWNGjXKr2wWoKk+rYSij1VUWZ5X/y9c5Stw+3D6disnj4neryljrTJo/4Zc38/ittFvvXWYUNeuXQ+53zr86+uvv5bqyk3HJUCHFU2ZMsVkKPQXZUmfFf32tjpmkdxyTNasWWNOMkaPHi133nmnRPpnpTg6RFS/rS7u57O0Y1Da+oH/9T7N2NnX0d9bgXWc+NtVXThxXAoHSJs2bZLPP/88KItU0u8zPTapqalBXyxEGiePSeHfjdrX+vXrze8vPitVe1y++uorM43ktddeO+S+VPvPihVmAhP6tMJTwMcffxyywg2lPW+gcENOTk7+OpMmTaJwQwWOSWAy+htvvJF/n1YfKm4y+v79+60aNWoEVeoqjVYzGjx4sBXpnD4udvfff7/5bNgLN3To0CFoHa1MROEG546JVtxs0KCBdcstt5R5fyL1s6KTnq+77rqgSc9HHnlkqZOezz333KD7unfvXqRww7/+9a+gaqjFFW6o6N+uSBDq46L07/UFF1xgCslo8Z+yePHFF63o6OgiFdcikRPHpLA///zTfA7eeecdc5vPStUeFy2sUbgCZKR+VsIuSAqUhuzcubP17bffWl9//bXVpk2boNKQmzdvNoGLPh6gZQp//PFH6//+7//Mh+/LL780t3fv3l3m59WTFS0BfsUVV5gTEi3BqGWOKQFesWOiZY2bN29uff755+aXoX5gdSns2WeftRISEoqtyqVVVrTk7rp160wpyxtuuMF8YD/77DMHX21kH5d3333XfI70/db3Xb880M/B3XffXaQEuJ6wayW2GTNmUALcwWOix6J+/frW5ZdfHlSa1X5SyGelgP7u1gBm7ty55oRs9OjRpnzutm3bzOP6O/62224LKp8bGxtrgiD9eb7nnnuKLQGuz6EneitXrjSVoYorAV7asY90oT4uGiBpKfamTZtaP/30U9BnI1CldunSpeazoY9rqWM96dPP0ogRI6roXajex0S/9JwwYYL5gmfjxo3m90+XLl3MZyErKyv/efisVP7vsMCXO/q3e+bMmUX6jMTPSlgGSRrY6IdFswu1atWyrrzySvPBC9APngZCmjUK0B8Iva/wotd6KevzKr3+xemnn25+ODVq1z+MqNgx0ZMHLVOsGQj9UOo32vrHqzA9Gbz00kuL7fehhx6yjj76aBNE1a1b1+rZs6c5kYRzx0VLsZ5wwgnmOZOTk821LGbNmlXkejv6nLqeXsvhqKOOCvqsRTInjklJv9+0XGsAn5VgmpnWwFN/PvVbWb0eS4Bei02/TbV7/fXXrWOOOcasr1mJ999/P+hxzSbddddd5os0/fvQp08fc00qu7L8jYl0oTwugc9ScUvg87VixQpTClmvcaWfjeOOO8564IEHgk7YI10oj4le/7Bfv37m5FpP0vV3lF7jJ3ByH8BnpfJ/hyn90l+vsadJgcIi8bMSpf9U9ZA/AAAAAHCLsLtOEgAAAAA4iSAJAAAAAGwIkgAAAADAhiAJAAAAAGwIkgAAAADAhiAJAAAAAGwIkgAAAADAhiAJAAAAAGwIkgAAAADAhiAJAFDlRo0aJVFRUWaJi4uTVq1aycSJEyUrK6tM2y9atMhsu3fvXsf3FQBQ/cVW9Q4AAKDOPvtsmTNnjuTm5sqKFStk5MiRJvB56KGHKnU/tH8N1AAAkYtMEgDAFeLj46VRo0bSrFkzueCCC6Rv377y6aefmsd8Pp9MmzbNZJgSExOlU6dO8sYbb5jHUlNTpVevXqZdp04dE1hpZkq1bNlSHn/88aB+TjjhBJk8eXL+bV1/5syZcv7550tycrJMnTrVPK7rvfDCC+Y5UlJSZPjw4bJ///787bT/448/3uzPEUccYfY3IyOjUt4rAICzCJIAAK6zatUqWbp0qXg8HnNbA6R58+bJrFmzZPXq1XLTTTfJ5ZdfLosXLzZB1ZtvvmnWW7t2rWzdulWeeOKJcvWnQdHgwYPll19+kauuusrct2HDBnn77bflvffeM4v29eCDD5rHtI9LLrnErPvrr7+a4X5DhgwRy7JC/l4AACofw+0AAK6ggUiNGjUkLy9PsrOzJTo6Wp588knTfuCBB+Szzz6T7t27m3WPOuoo+frrr+Xpp5+WM888U+rWrWvub9CggdSuXbvcfV966aVy5ZVXBt2n2au5c+dKzZo1ze0rrrhCFi5caDJNGiTpfmpg1KJFC/O4ZpUAANUDQRIAwBV0yJwOe9Mha4899pjExsbK0KFDTeYoMzNTzjrrrKD1c3JypHPnziHpu1u3bkXu02F2gQBJNW7cWHbs2GHaOtyvT58+JjDq37+/9OvXTy688EIz3A8AEP4IkgAArqDzgVq3bm3as2fPNoHIc889Jx06dDD3vf/++3LkkUcWmcdUGs1GFR4Cp4UZiuu7sMLFG3TukmaXVExMjJkvpUMCP/nkE/nPf/4jd9xxh3z77bdm3hQAILwxJwkA4Doa3Nx+++1y5513Srt27Uww9Mcff5ggyr7ofCQVmLvk9XqDnqd+/fpmaFzAvn37ZOPGjSHZRw2aTjvtNLn33nvlxx9/NPuwYMGCkDw3AKBqkUkCALjSRRddJLfccouZdzRhwgRTrEEzOaeffrqkpaXJkiVLpFatWqZUuM4L0qBF5zUNHDjQVJzT+U29e/c284rOO+88M1fp7rvvNlmgw6UZI52fpMPsdB6U3t65c6ccd9xxIXntAICqRZAEAHAlnZN03XXXyfTp0032R7NCWuXu999/NwFPly5dTLZJ6TA8zejcdtttpgDDiBEjTHA0adIks+25555rynhPmTIlJJkkDc6+/PJLU15cs1MapD3yyCMyYMCAELxyAEBVi7KoVwoAAAAA+ZiTBAAAAAA2BEkAAAAAYEOQBAAAAAA2BEkAAAAAYEOQBAAAAAA2BEkAAAAAYEOQBAAAAAA2BEkAAAAAYEOQBAAAAAA2BEkAAAAAYEOQBAAAAABS4P8D68x8J0h+e8gAAAAASUVORK5CYII="
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "execution_count": 7
+  },
+  {
+   "metadata": {},
+   "cell_type": "code",
+   "outputs": [],
+   "execution_count": null,
+   "source": "",
+   "id": "ddeb6ada3ab526b5"
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 2
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython2",
+   "version": "2.7.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/pyfinlib/Cargo.toml b/pyfinlib/Cargo.toml
index fad9f3e..fe7f1cf 100644
--- a/pyfinlib/Cargo.toml
+++ b/pyfinlib/Cargo.toml
@@ -18,4 +18,5 @@ crate-type = ["cdylib"]
 
 [dependencies]
 finlib = { path = "../finlib", features = ["py"] }
-pyo3 = { workspace = true }
\ No newline at end of file
+pyo3 = { workspace = true }
+pyo3-log = { workspace = true }
\ No newline at end of file
diff --git a/pyfinlib/src/lib.rs b/pyfinlib/src/lib.rs
index 312bb5a..17ccebb 100644
--- a/pyfinlib/src/lib.rs
+++ b/pyfinlib/src/lib.rs
@@ -1,30 +1,63 @@
 use pyo3::prelude::*;
 
-#[pyfunction]
-pub fn compound(principal: f64, rate: f64, time: f64, n: f64) -> PyResult<f64> {
-    Ok(finlib::interest::compound(principal, rate, time, n))
-}
-
-#[pyfunction]
-pub fn covariance(slice: Vec<f64>, slice_two: Vec<f64>) -> PyResult<Option<f64>> {
-    Ok(finlib::stats::covariance(&slice, &slice_two))
-}
-
 #[pymodule]
-fn pyfinlib(m: &Bound<'_, PyModule>) -> PyResult<()> {
-    register_interest_module(m);
-    register_stats_module(m);
-    Ok(())
-}
+mod pyfinlib {
+    use super::*;
 
-fn register_interest_module(parent_module: &Bound<'_, PyModule>) -> PyResult<()> {
-    let child_module = PyModule::new(parent_module.py(), "interest")?;
-    child_module.add_function(wrap_pyfunction!(compound, &child_module)?)?;
-    parent_module.add_submodule(&child_module)
-}
+    #[pymodule_init]
+    fn init(m: &Bound<'_, PyModule>) -> PyResult<()> {
+        pyo3_log::init();
 
-fn register_stats_module(parent_module: &Bound<'_, PyModule>) -> PyResult<()> {
-    let child_module = PyModule::new(parent_module.py(), "stats")?;
-    child_module.add_function(wrap_pyfunction!(covariance, &child_module)?)?;
-    parent_module.add_submodule(&child_module)
+        Ok(())
+    }
+
+    #[pymodule]
+    mod interest {
+        use super::*;
+
+        #[pyfunction]
+        pub fn compound(principal: f64, rate: f64, time: f64, n: f64) -> PyResult<f64> {
+            Ok(finlib::interest::compound(principal, rate, time, n))
+        }
+    }
+
+    #[pymodule]
+    mod risk {
+        use super::*;
+
+        #[pymodule]
+        mod var {
+            use super::*;
+
+            #[pyfunction]
+            fn historical(values: Vec<f64>, confidence: f64) -> PyResult<f64> {
+                Ok(finlib::risk::var::historical::value_at_risk(&values, confidence))
+            }
+
+            #[pyfunction]
+            fn varcovar(values: Vec<f64>, confidence: f64) -> PyResult<f64> {
+                Ok(finlib::risk::var::varcovar::value_at_risk(&values, confidence))
+            }
+        }
+    }
+
+    #[pymodule]
+    mod stats {
+        use super::*;
+
+        #[pyfunction]
+        pub fn covariance(slice: Vec<f64>, slice_two: Vec<f64>) -> PyResult<Option<f64>> {
+            Ok(finlib::stats::covariance(&slice, &slice_two))
+        }
+    }
+
+    #[pymodule]
+    mod util {
+        use super::*;
+
+        #[pyfunction]
+        pub fn rates_of_change(slice: Vec<f64>) -> PyResult<Vec<f64>> {
+            Ok(finlib::util::roc::rates_of_change(&slice).collect::<Vec<_>>())
+        }
+    }
 }
\ No newline at end of file