From 1c2964bc6f7a121a436ca99dde9bde6a15183f0c Mon Sep 17 00:00:00 2001
From: Stalin <161853795+Stalin-143@users.noreply.github.com>
Date: Sat, 7 Dec 2024 17:25:46 +0530
Subject: [PATCH] Create Stock-Price-Predictor-info.jl

---
 Stock-Price-Predictor-info.jl | 68 +++++++++++++++++++++++++++++++++++
 1 file changed, 68 insertions(+)
 create mode 100644 Stock-Price-Predictor-info.jl

diff --git a/Stock-Price-Predictor-info.jl b/Stock-Price-Predictor-info.jl
new file mode 100644
index 0000000..ee0e60f
--- /dev/null
+++ b/Stock-Price-Predictor-info.jl
@@ -0,0 +1,68 @@
+# A script to print a README file with custom effects in Julia
+
+using Colors
+
+function print_with_effects(line::String, effect::String)
+    # Choose custom effects like bold, underline, colors, etc.
+    effect_map = Dict(
+        "bold" => "\e[1m",
+        "underline" => "\e[4m",
+        "red" => "\e[31m",
+        "green" => "\e[32m",
+        "yellow" => "\e[33m",
+        "blue" => "\e[34m",
+        "reset" => "\e[0m"
+    )
+
+    # Apply effect and reset at the end
+    effect_code = get(effect_map, effect, "")
+    println(effect_code * line * effect_map["reset"])
+end
+
+function print_readme()
+    println("\nPrinting README with custom effects:\n")
+
+    print_with_effects("# Stock Price Predictor", "bold")
+    print_with_effects("\n## Description", "underline")
+    print_with_effects("This project predicts stock prices using historical data and an LSTM model built in Julia.", "yellow")
+
+    print_with_effects("\n## Features", "underline")
+    features = [
+        "1. Data normalization for better performance.",
+        "2. LSTM model for time-series forecasting.",
+        "3. Training and testing functionality.",
+        "4. Visualized predictions against actual data.",
+        "5. Model saving for reuse."
+    ]
+    for feature in features
+        print_with_effects(feature, "green")
+    end
+
+    print_with_effects("\n## Requirements", "underline")
+    requirements = [
+        "1. Julia 1.8+.",
+        "2. Flux.jl for neural networks.",
+        "3. CSV.jl and DataFrames.jl for data handling.",
+        "4. Plots.jl for visualization."
+    ]
+    for requirement in requirements
+        print_with_effects(requirement, "blue")
+    end
+
+    print_with_effects("\n## Usage", "underline")
+    usage_steps = [
+        "1. Prepare the dataset as 'stock_prices.csv'.",
+        "2. Run the script with Julia.",
+        "3. Adjust parameters like sequence length and epochs as needed.",
+        "4. View the plotted predictions after training."
+    ]
+    for step in usage_steps
+        print_with_effects(step, "red")
+    end
+
+    print_with_effects("\n## License", "underline")
+    print_with_effects("This project is licensed under the MIT License.", "bold")
+end
+
+# Call the function to print the README
+print_readme()