SMTP: Purpose, Installation, Steps, Data Format

Below is a 30–40 minute SMTP lesson plan suitable for college-level networking courses . It includes: purpose, tools, installations, commands, protocol operations, Telnet interaction, data formats, and references to typical Wireshark visuals (without reproducing copyrighted images).


📘 SMTP Lesson Plan (30–40 Minutes)

Topic: Simple Mail Transfer Protocol (SMTP)
Audience: Networking / IT Students
Goal: Understand SMTP purpose, workflow, commands, install & test SMTP on Ubuntu, and observe the protocol using Telnet & Wireshark.


1. Introduction (3–5 minutes)

What is SMTP?

  • SMTP = Simple Mail Transfer Protocol
  • Purpose: Transfers email from client → server → another server
  • Operates at Application Layer (Layer 7)
  • Uses TCP port:
    • 25 (server-to-server)
    • 587 (submission with TLS)
    • 465 (legacy SSL)

When SMTP is used

  • Sending email from a mail client (like Thunderbird, Outlook).
  • Relaying mail between mail servers.
  • Transporting server-generated notifications (cron, monitoring).

2. Tools Required (1–2 minutes)

ToolPurpose
Ubuntu ServerInstall and run SMTP daemon (Postfix).
Telnet or NetcatManual SMTP interaction.
WiresharkCapture & analyze SMTP packets.
DNS Tools (dig/nslookup)Check MX records for mail routing.

3. Ubuntu Setup (5 minutes)

Install Postfix SMTP Server

sudo apt update
sudo apt install postfix

When prompted:

  • Select Internet Site
  • System mail name: yourdomain.test (or localhost)

Check Postfix Status

sudo systemctl status postfix

Check SMTP is listening

sudo ss -tlnp | grep 25

Log file for debugging

sudo tail -f /var/log/mail.log

4. SMTP Protocol Basics (5 minutes)

SMTP uses simple ASCII-based commands.
You can refer to standard diagrams online (e.g., RFC 5321 command flow), which show:

Client → Server commands
Server → Client status codes

Common SMTP Commands

CommandPurpose
HELO / EHLOIdentify client (EHLO supports extensions).
MAIL FROM:Sender envelope address.
RCPT TO:Recipient address.
DATABegins message content.
QUITClose connection.
RSETReset session.
VRFYVerify user existence (often disabled).

Common SMTP Status Codes

CodeMeaning
220Server ready
250OK
354Start message input
421Service unavailable
550Mailbox unavailable
551User not local
552–554Message rejected

Reference:
Online SMTP diagrams typically show a vertical message exchange: client commands on left, server replies on right, with arrows showing flow.


5. SMTP Workflow (4 minutes)

Step-by-Step Exchange

  1. Client connects to port 25
    → Server replies 220
  2. HELO/EHLO
    → Server lists capabilities
  3. MAIL FROM:
    → Server responds 250 OK
  4. RCPT TO:
    → Server responds 250 OK
  5. DATA
    → Server responds 354 End with <CRLF>.<CRLF>
  6. Message body sent
    → End message with a single dot .
  7. QUIT

This is the “Envelope + Content” model.


6. Hands-On SMTP via Telnet (8 minutes)

Connect to the local SMTP server

telnet localhost 25

Sample Full Exchange

Connected to localhost.
220 mail.yourdomain.test ESMTP Postfix

EHLO client.test
250-mail.yourdomain.test
250-PIPELINING
250-SIZE 10240000
250-STARTTLS
250-ENHANCEDSTATUSCODES
250 8BITMIME

MAIL FROM:<alice@client.test>
250 2.1.0 Ok

RCPT TO:<bob@server.test>
250 2.1.5 Ok

DATA
354 End data with <CR><LF>.<CR><LF>
Subject: Test Email
From: alice@client.test
To: bob@server.test

Hello Bob,  
This is a test sent via raw SMTP.  

.
250 2.0.0 Ok: queued as XYZ123

QUIT
221 2.0.0 Bye

What Students Should Notice

  • Interaction is plain-text, line-based.
  • Email has:
    • Headers (Subject, From, To)
    • Blank line
    • Body
  • Ending with . terminates DATA mode.

7. Listing Mails in the Queue (Postfix) (2 minutes)

Show queue

mailq

Remove queue

sudo postsuper -d ALL

8. SMTP Message Format (3 minutes)

Students can search for diagrams of:

  • SMTP envelope vs. email headers
  • RFC 5322 message structure

Typical Email Format

MAIL FROM: <sender@example.com>    ← Envelope
RCPT TO: <receiver@example.com>    ← Envelope

--- Data Section ---

Subject: Meeting Tomorrow
From: Sender <sender@example.com>
To: Receiver <receiver@example.com>
Date: Tue, 02 Dec 2025 13:15:00 -0500

Hello,
This is the body of the message.

Key concepts:

  • Envelope addresses ≠ Header addresses
  • Headers follow strict ASCII formatting
  • Blank line separates headers from body

9. Analyzing SMTP Traffic in Wireshark (5 minutes)

Tell students to search:
“Wireshark SMTP packet details” images
These images typically show:

What Wireshark Displays

  • TCP handshake (SYN, SYN-ACK, ACK)
  • SMTP commands as text under Application Layer
  • Status codes (220, 250, 354)
  • DATA block containing header fields and message body

Filters

tcp.port == 25
smtp

Things to point out

  • Application Layer tree expands to show each command.
  • DATA section shows full email contents.
  • No encryption on port 25 → Wireshark can see everything.

Students will notice:

  • How HELO/EHLO appears as plain text.
  • How the message body is captured.
  • How multiple packets represent a single message transfer.

10. Wrap-Up (2 minutes)

Key Takeaways

  • SMTP is the primary protocol for sending emails.
  • Simple plaintext command/response system.
  • Postfix provides a working SMTP server for labs.
  • Telnet allows manual testing.
  • Wireshark reveals how SMTP messages appear on the wire.

Optional Homework / Lab

  • Capture an SMTP session with Wireshark.
  • Send mail using sendmail or mail command.
  • Configure SMTP over TLS (STARTTLS).

Below is (1) a clean, professional ASCII diagram of the full SMTP flow, and (2) a fully structured SMTP Lab Assignment with step-by-step tasks for students.
Everything is original, copyright-free


📘 1. Full SMTP Flow Diagram (ASCII)

This diagram shows the complete sequence between Mail User Agent (MUA), Mail Submission Agent (MSA), Mail Transfer Agent (MTA), and Mail Delivery Agent (MDA).

                   +------------------+
                   |   User Client    |
                   |  (MUA: Thunderbird,
                   |   Outlook, etc.)|
                   +--------+---------+
                            |
                            | SMTP Submission (Port 587)
                            v
                   +------------------+
                   | MSA (Postfix)    |
                   | Mail Submission  |
                   +--------+---------+
                            |
                            | SMTP Relay (Port 25)
                            v
         ----------------------------------------------------------------
         |                Internet (Multiple MTAs)                      |
         |                                                              |
         |   +------------------+        +------------------+           |
         |   |   MTA #1         |  --->  |   MTA #2         |  ---> ... |
         |   | Mail Transfer    |        | Mail Transfer    |           |
         |   +------------------+        +------------------+           |
         ----------------------------------------------------------------
                            |
                            | SMTP Delivery (Port 25)
                            v
                   +------------------+
                   |  MDA (Local Mail |
                   |  Delivery Agent) |
                   | e.g., Dovecot    |
                   +--------+---------+
                            |
                            | Stores message
                            v
                   +------------------+
                   | User Mailbox     |
                   +------------------+
                            |
                            | IMAP/POP Retrieval
                            v
                   +------------------+
                   | Recipient MUA    |
                   +------------------+

SMTP Command/Response Flow Between Client & Server

Client →    220 Server Ready
Client →    EHLO client.example
Server →    250-Server features
Client →    MAIL FROM:<alice@example.com>
Server →    250 OK
Client →    RCPT TO:<bob@example.com>
Server →    250 OK
Client →    DATA
Server →    354 End with <CRLF>.<CRLF>
Client →    (headers + message body)
Client →    .
Server →    250 Message Queued
Client →    QUIT
Server →    221 Goodbye

📘 2. Full SMTP Lab Assignment (Step-By-Step)

Lab Duration: 45–60 minutes
Environment: Ubuntu Server + GNS3 VM or physical system
Learning Outcomes:

  • Install and configure SMTP (Postfix)
  • Perform SMTP transactions using Telnet
  • Analyze SMTP packets using Wireshark
  • Understand envelope vs. header processing
  • Observe mail queue behavior

🔧 Part 1 — Setup (10 minutes)

1. Update System

sudo apt update

2. Install Postfix

sudo apt install postfix

During setup:

  • Select: Internet Site
  • System mail name: labmail.test

3. Confirm Postfix is Running

sudo systemctl status postfix

4. Verify Port 25 Listening

sudo ss -tlnp | grep 25

📡 Part 2 — Manual SMTP Interaction (15–20 minutes)

You will manually simulate an email client by using Telnet to speak SMTP commands to the server.

1. Install telnet

sudo apt install telnet

2. Connect to SMTP

telnet localhost 25

You should see:

220 labmail.test ESMTP Postfix

3. Identify Yourself

EHLO student.test

Expected:

250-labmail.test
250-PIPELINING
250-SIZE 10240000
250-STARTTLS
250 8BITMIME

4. Start Sending an Email

MAIL FROM:<alice@student.test>
250 OK

RCPT TO:<bob@student.test>
250 OK

5. Enter DATA Mode

DATA
354 End data with <CRLF>.<CRLF>

6. Type Message

Subject: Lab SMTP Test
From: Alice <alice@student.test>
To: Bob <bob@student.test>

Hello Bob,
This is a test email sent manually using SMTP.
.

Server should reply:

250 OK: queued as ABC123

7. Quit

QUIT
221 Bye

📬 Part 3 — Inspect the Queue (5 minutes)

1. View Mail Queue

mailq

2. View logs

sudo tail -f /var/log/mail.log

3. Clear Queue (optional)

sudo postsuper -d ALL

🔍 Part 4 — SMTP Packet Analysis with Wireshark (10–15 minutes)

1. Start Wireshark

Use interface: lo (loopback) or eth0 depending on lab setup.

2. Apply Filters

SMTP filter:

smtp

Or:

tcp.port == 25

3. Repeat the Telnet SMTP Steps

Wireshark will show:

  • TCP handshake
  • Plain-text SMTP commands
  • EHLO, MAIL, RCPT, DATA
  • The entire message body, including headers and content
    (good demonstration of SMTP being unencrypted).

4. Students Should Identify:

  • SMTP status codes
  • Envelope commands
  • Message headers (Subject, From, To)
  • Body block ending with .
  • Server replies (250, 354, 221)

📝 Part 5 — Written Questions (Instructor-Evaluated)

Students answer the following:

1. What is the purpose of EHLO vs HELO?

(Expect: EHLO identifies client and requests extended SMTP features.)

2. Why is DATA separated from the envelope?

(Expect: Envelope controls routing; DATA contains RFC 5322 email.)

3. Why does SMTP require <CRLF>.<CRLF> to end data?

4. Why can Wireshark read everything over port 25?

(Expect: SMTP is plaintext without TLS.)

5. Describe one security issue with allowing open relay.


📦 Part 6 — Optional Extensions

1. Enable STARTTLS

Show how encrypted SMTP prevents Wireshark from reading content.

2. Add DNS MX Record Lab

Use dig MX to observe mail routing.


Which ETF performed similarly to Bitcoin or closely? What performed the closet?

Which ETF performed similarly to Bitcoin or closely? What performed the closet?

Asked ChatGPT:

I want to see which index ETF/fund performed as well as Bitcoin over the previous 10 years or 20 years. 2. How do XIT, QQQ, or Similar, S&P 500, FBTC compare with bitcoin performance? The primary concern is growth and gain. Volatility is a different concern, which is not currently the primary concern.

Great — I’ll answer both parts clearly and compactly, with numbers and sources so you can act on them.

Short answer (headline):
Over the past ~10 years nothing in the major index/ETF world comes close to Bitcoin’s raw price performance — Bitcoin blew past even the best tech ETFs. The closest high-growth ETF (QQQ) returned strong equity gains but was far below Bitcoin. For 20 years you can’t meaningfully compare because Bitcoin doesn’t have a 20-year history.

Below I give a short comparison (table + commentary), the important caveats, and a practical takeaway for your decisions.


1) Quick comparison (growth focus — trailing figures / approximate CAGRs)

Time window: where possible I use 10-year trailing/typical published figures. Where a product is newer (FBTC) I note since-inception or latest trailing returns. All figures are pulled from market sources (links below each block).

Asset / ETFRepresentative trailing CAGR (≈10y) or noteSource
Bitcoin (BTC)~+70–75% p.a. (10-yr CAGR) — enormous outperformance vs stocks over the last decade.casebitcoin / Bitcoin CAGR charts (summary of historical CAGR). (The Case for Bitcoin)
Invesco QQQ (QQQ)~+19% p.a. (10-yr total-return CAGR) — very strong, tech-heavy growth ETF but far below BTC.financecharts / QQQ total-return metrics. (FinanceCharts)
S&P 500 (broad US)~+12–13% p.a. (10-yr CAGR) — long-run strong equity returns but well below QQQ and Bitcoin.long-run S&P data / macrotrends / index backtests. (Curvo)
iShares S&P/TSX Capped Information Tech (XIT.TO)Trailing performance is strong (multi-year gains), but not comparable to BTC over 10y; typical multi-yr numbers are high in recent years (e.g., 1-3-5y strong). See broker pages for exact trailing figures.BlackRock / Yahoo Finance performance pages. (BlackRock)
Fidelity Advantage Bitcoin ETF (FBTC.TO)Fund inception: 30-Nov-2021 — too young for 10-yr comparison. Since inception & 1-yr figures show meaningful BTC-like returns in good years (e.g., 1-yr +60% in last 12m), but its track record only stretches back to 2021.Fidelity ETF factsheet / Yahoo. (Fidelity Investments Canada)

Key numbers (for emphasis): casebitcoin’s roll-up shows BTC 10-yr CAGR roughly in the 70%-plus range vs S&P500 ~13% and QQQ ~19% over roughly the same 10-year span. That gap explains why many investors say “Bitcoin crushed everything over the last decade.” (The Case for Bitcoin)


2) Important caveats & why direct comparisons are tricky

  1. Different risk profiles. Bitcoin’s returns come with enormous drawdowns (30–80% crashes). If your priority is growth only you’d note BTC wins — but volatility matters in practice (timing, capacity to hold through drawdowns). (See Bitcoin historical monthly/annual swings.) (Curvo)
  2. Survivorship / timeframe bias. Bitcoin’s 10-year performance includes its biggest multi-year bull run (2016–2021 etc.). A future decade could be very different. Past 10-yr winners aren’t guaranteed winners next 10-yr. (Financial Times)
  3. ETF structure & fees. Spot Bitcoin ETFs (FBTC, BTCX, BTCO, BTCQ) hold underlying BTC and track price less fees. Equity ETFs (QQQ, XIT) hold stocks and pay dividends — their total return includes reinvested dividends. Fees and tracking differences slightly reduce ETF returns vs raw index/asset. (Fidelity Investments Canada)
  4. Different starting dates. FBTC and most Canadian spot BTC ETFs launched only in the last few years — you can’t compute a 10-yr ETF track record for them. You must compare price Bitcoin itself vs older ETFs. (Fidelity Investments Canada)
  5. Currency & tax effects. Your CAD returns depend on USD/CAD movement when holding US-listed ETFs; Canadian ETFs mitigate that somewhat. Taxes differ by account (TFSA/RRSP/non-registered). (Fidelity Investments Canada)

3) How XIT / QQQ / S&P / FBTC stack up vs Bitcoin (plain language)

  • Bitcoin — the clear top performer on raw price growth over the last decade. If you prioritized only absolute growth from 2015→2025, BTC is the winner by a very wide margin. (The Case for Bitcoin)
  • QQQ (tech-heavy)very strong equity returns (~19% p.a. over 10 years). Great growth, but far from BTC’s magnitude. Adds diversification vs crypto and much lower realized volatility than BTC. (FinanceCharts)
  • S&P 500 — solid broad market growth (~12–13% p.a. over 10 years). Lower upside than QQQ but more diversified across sectors. (Curvo)
  • XIT (Canadian tech) — has posted strong recent multi-year returns (reflects Canadian tech performance), but it’s country/sector concentrated and still not in the same league as Bitcoin for total return over a decade. Use XIT if you want Canadian tech exposure (currency, sector tilt). (BlackRock)
  • FBTC (Fidelity spot BTC ETF) — essentially a vehicle to own Bitcoin inside a Canadian ETF wrapper. It performs like Bitcoin minus fees/track error; but it only exists since late 2021, so you must judge it by Bitcoin’s history rather than FBTC’s short track. (Fidelity Investments Canada)

4) Practical takeaways for you (growth-focused)

  • If growth is the only metric: historically (last 10 years) Bitcoin was the best performer by a wide margin — but that came with extreme volatility and multi-year drawdowns. No index ETF (QQQ, S&P, XIT) matched Bitcoin’s raw CAGR. (The Case for Bitcoin)
  • If you want high but more stable growth: QQQ is the closest mainstream ETF that produced strong growth (tech exposure) with much lower realized volatility than BTC — good compromise for long-term growth investors. (FinanceCharts)
  • If you want BTC exposure in a TFSA (or Canadian account): use a spot BTC ETF (FBTC, BTCX, BTCO, BTCQ) rather than futures products — they hold actual BTC and therefore are the closest way to capture Bitcoin’s price performance inside regulated ETFs. FBTC is one of the low-fee Canadian options. (Fidelity Investments Canada)

5) Sources & where I pulled numbers (most important references)

  • Bitcoin CAGR & historical charts: Casebitcoin / BTC CAGR charts & historical indices. (The Case for Bitcoin)
  • QQQ 10-yr total-return / CAGR: QQQ total-return data (financecharts / totalrealreturns). (FinanceCharts)
  • S&P 500 historical returns & 10-yr figures: macrotrends / long-run S&P data. (Curvo)
  • XIT performance & product page: iShares / BlackRock Canada, Yahoo Finance performance pages. (BlackRock)
  • FBTC (Fidelity Advantage Bitcoin ETF) factsheet & performance since inception. (Fidelity Investments Canada)

6) If you want next steps (I can do any of these now)

  • Produce a side-by-side chart of cumulative returns (log scale) for BTC, QQQ, S&P500 and XIT for the last 10 years.
  • Show CAGR numbers for 1/3/5/10 years in a neat table (with exact dates you pick).
  • Run a risk-adjusted comparison (Sharpe, max drawdown) so you can judge growth relative to volatility.
  • Build a model allocation if you want to blend BTC + QQQ/S&P for growth with risk limits.

Which one would you like me to run next? (I can make the chart/table right now.)

Further: information

  Produce a side-by-side chart of cumulative returns (log scale) for BTC, QQQ, S&P500 and XIT for the last 10 years.

  Show CAGR numbers for 1/3/5/10 years in a neat table (with exact dates you pick).

  Run a risk-adjusted comparison (Sharpe, max drawdown) so you can judge growth relative to volatility.

Below is a polished, blog-ready article that does everything you asked — a clear explanation, the exact reproducible Python code you can run to produce the side-by-side cumulative returns chart (log scale) and the CAGR / Sharpe / max-drawdown table, and an interpretation of what the results mean. I can run the code and produce the charts/tables for you if you want me to fetch live data — say the word and I’ll pull the latest prices and run it. For now I provide the ready-to-run script + commentary so you (or I) can generate exact numbers and visuals.


BTC vs QQQ vs S&P500 vs XIT — 10-Year Performance, CAGR & Risk-Adjusted Comparison

(reproducible — run the code to fetch live data and recreate charts/tables)

What this piece contains

  1. Quick summary of goals and approach.
  2. The exact Python code (copy/paste) that fetches historical prices, creates a log-scale cumulative returns chart, computes CAGR for 1/3/5/10 years (with exact date ranges), and computes Sharpe ratio and max drawdown for each ticker.
  3. How to interpret results and what to look for.
  4. A short, plain-English verdict about which indices matched Bitcoin historically and how to view performance vs volatility.

1) Summary & approach (quick)

You asked for a side-by-side comparison of Bitcoin (BTC), QQQ (Nasdaq-100 ETF), S&P 500 (SPY as proxy), and XIT (Canadian tech ETF) over the last 10 years — with CAGRs for 1, 3, 5 and 10 years, and risk-adjusted metrics (Sharpe, max drawdown).

Approach:

  • Use daily price series (close) for each ticker.
  • Compute cumulative returns and display on log scale so growth rates are visually comparable.
  • Compute CAGR for exact windows: 1y, 3y, 5y, 10y ending on the chosen analysis date (the script uses today’s date by default; you can set a fixed end date).
  • Compute Sharpe ratio (annualized) and maximum drawdown for each series.
  • All code is reproducible and self-contained (uses yfinance, pandas, numpy, matplotlib).

2) The exact Python script (run this locally or ask me to run it)

Requirements: Python 3.8+, yfinance, pandas, numpy, matplotlib, scipy (optional).
Install if needed: pip install yfinance pandas numpy matplotlib scipy

# btc_vs_equities_performance.py

# Reproducible script to produce:

#  – log-scale cumulative returns chart for BTC, QQQ, SPY, XIT (10 years)

#  – CAGR table for 1/3/5/10 years (exact dates)

#  – Risk-adjusted metrics: Annualized Sharpe, Annualized Volatility, Max Drawdown

#

# Usage: python btc_vs_equities_performance.py

# (or run each cell in a Jupyter Notebook)

import yfinance as yf

import pandas as pd

import numpy as np

import matplotlib.pyplot as plt

from datetime import datetime, timedelta

# ———————–

# User-configurable:

tickers = {

    “Bitcoin”: “BTC-USD”,

    “QQQ”: “QQQ”,

    “S&P500 (SPY)”: “SPY”,

    “XIT (TSX Tech)”: “XIT.TO”   # change if your broker uses a different suffix

}

end_date = pd.to_datetime(“today”).normalize()   # or set explicit e.g. pd.to_datetime(“2025-11-28”)

start_date = end_date – pd.DateOffset(years=10)   # 10 years back

risk_free_rate_annual = 0.03  # example: 3% annual risk-free (adjust if you prefer)

trading_days = 252

# ———————–

# Fetch data

def fetch_close_prices(tickers, start, end):

    data = yf.download(list(tickers.values()), start=start.strftime(“%Y-%m-%d”),

                       end=(end + pd.Timedelta(days=1)).strftime(“%Y-%m-%d”),

                       progress=False)[“Adj Close”]

    data.columns = list(tickers.keys())

    return data.dropna(how=”all”)

prices = fetch_close_prices(tickers, start_date, end_date)

if prices.isnull().any().any():

    prices = prices.fillna(method=’ffill’).dropna(how=’all’)  # simple fill-forward

# ———————–

# Compute daily returns

returns = prices.pct_change().dropna()

# Cumulative returns (log scale for plotting)

cum_returns = (1 + returns).cumprod()

# ———————–

# Functions for metrics

def annualized_return_from_period(start_price, end_price, n_years):

    return (end_price / start_price) ** (1.0 / n_years) – 1.0

def compute_cagr(series, start_date, end_date):

    # series is price series (pandas Series)

    p0 = series.loc[start_date]

    p1 = series.loc[end_date]

    days = (end_date – start_date).days

    years = days / 365.25

    return (p1 / p0) ** (1.0 / years) – 1.0

def annualized_volatility(daily_ret):

    return daily_ret.std() * np.sqrt(trading_days)

def sharpe_ratio(daily_ret, rf_annual=0.03):

    excess_daily = daily_ret – (rf_annual / trading_days)

    ann_excess = excess_daily.mean() * trading_days

    ann_vol = annualized_volatility(daily_ret)

    if ann_vol == 0:

        return np.nan

    return ann_excess / ann_vol

def max_drawdown(price_series):

    running_max = price_series.cummax()

    drawdown = (price_series – running_max) / running_max

    return drawdown.min()  # negative number

# ———————–

# Prepare CAGR windows (end dates inclusive)

end = prices.index[-1]

windows = {

    “1Y”: end – pd.DateOffset(years=1),

    “3Y”: end – pd.DateOffset(years=3),

    “5Y”: end – pd.DateOffset(years=5),

    “10Y”: end – pd.DateOffset(years=10)

}

# Align window start dates to nearest available index

def align_date(series_index, dt):

    # choose the first available index on or after dt

    idx = series_index[series_index >= dt]

    if len(idx) == 0:

        return series_index[0]

    return idx[0]

cagr_table = []

metrics_table = []

for name in prices.columns:

    series = prices[name]

    daily = returns[name]

    # CAGR for windows

    cagr_row = {“Instrument”: name}

    for label, dt in windows.items():

        start_aligned = align_date(prices.index, dt)

        try:

            cagr = compute_cagr(series, start_aligned, end)

        except Exception as e:

            cagr = np.nan

        cagr_row[label] = cagr

        cagr_row[f”{label}_start_date”] = start_aligned.date()

    cagr_table.append(cagr_row)

    # Risk metrics (annualized)

    ann_vol = annualized_volatility(daily)

    sr = sharpe_ratio(daily, risk_free_rate_annual)

    md = max_drawdown(series)

    metrics_table.append({

        “Instrument”: name,

        “Annualized Volatility”: ann_vol,

        “Sharpe (ann.)”: sr,

        “Max Drawdown”: md

    })

cagr_df = pd.DataFrame(cagr_table).set_index(“Instrument”)

metrics_df = pd.DataFrame(metrics_table).set_index(“Instrument”)

# ———————–

# Plot log-scale cumulative returns (normalized to 1 at the start of the plotted period)

plt.style.use(‘seaborn-darkgrid’)

plt.figure(figsize=(12,6))

# Normalize each series to 1 at the first date

normed = prices / prices.iloc[0]

for col in normed.columns:

    plt.plot(normed.index, np.log(normed[col]), label=col)   # log scale by plotting log of normed

plt.legend()

plt.title(“Log Cumulative Returns (normalized) — BTC vs QQQ vs SPY vs XIT”)

plt.xlabel(“Date”)

plt.ylabel(“Log of Normalized Price (log scale equivalent)”)

plt.tight_layout()

plt.show()

# ———————–

# Present table outputs

pd.set_option(‘display.float_format’, ‘{:.2%}’.format)

print(“\nCAGR Table (exact windows):”)

display_cagr = cagr_df.copy()

display_cagr = display_cagr[[c for c in [“1Y”, “3Y”, “5Y”, “10Y”] if c in display_cagr.columns]]

print(display_cagr)

print(“\nRisk Metrics (annualized):”)

print(metrics_df)

# Save results to CSV for convenience

cagr_df.to_csv(“cagr_table.csv”)

metrics_df.to_csv(“risk_metrics.csv”)

normed.to_csv(“normalized_prices.csv”)

print(“\nSaved cagr_table.csv, risk_metrics.csv, normalized_prices.csv”)


3) How the code works & exact dates

  • The script grabs adjusted close prices using yfinance for the tickers:
    • Bitcoin: BTC-USD
    • QQQ: QQQ
    • S&P 500 proxy: SPY
    • XIT (Canadian tech): XIT.TO (update suffix if your broker uses another form)
  • End date is today by default (you can set end_date manually — e.g., 2025-11-28 to match a specific snapshot).
  • The CAGR windows are 1Y / 3Y / 5Y / 10Y computed precisely using the aligned start date (first trading day on or after the exact date n years ago).
  • The Sharpe ratio uses an annual risk-free rate you set (default 3%). It annualizes returns and volatilities.
  • Max drawdown is computed on the price series (largest peak-to-trough drop).

4) Interpreting the results (what to expect when you run it)

When you run the script you will get:

  • A log-scale cumulative chart that shows how $1 invested in each asset grew (log axis makes compound growth lines look like slopes, so higher slope = higher CAGR).
  • A CAGR table with exact start dates for each window — this tells you annualized growth for each period.
  • A Risk table showing:
    • Annualized volatility (higher = more price movement)
    • Sharpe (higher = more return per unit of risk; if Sharpe is negative or near zero, reward is poor relative to risk)
    • Max drawdown (a negative number, e.g. −0.65 = −65% worst peak-to-trough)

Typical historical patterns you’re likely to see (once you run it):

  • Bitcoin usually shows the highest CAGRs over 5–10 years, but also the highest vol & largest max drawdowns (e.g., many samples show drawdowns of 60–80% in bad cycles).
  • QQQ tends to outperform SPY over 5–10 year periods when tech is strong (QQQ is concentrated in tech + growth names).
  • SPY (S&P 500) typically shows a solid medium CAGR with lower volatility than BTC and QQQ.
  • XIT.TO (TSX tech) may show varied performance — it can underperform U.S. tech over the last 10 years due to smaller tech ecosystem in Canada; check the live chart to see exact behaviour.

5) Example of how to read the final table

After running, you might see something like (illustrative only — run script for real numbers):

Instrument1Y CAGR3Y CAGR5Y CAGR10Y CAGRAnn VolSharpeMax Drawdown
Bitcoin35%75%80%120%90%0.6-0.80
QQQ20%30%25%18%25%0.9-0.50
SPY12%18%16%12%18%0.8-0.34
XIT8%12%10%7%22%0.45-0.60

These numbers are for illustration only — run the script to get exact, up-to-date numbers and a nice chart.


6) Plain English takeaways (what the results mean)

  • If growth is your sole criterion: Bitcoin historically often shows the largest compound growth numbers (highest CAGRs). That’s why it’s attractive to growth-seeking investors.
  • If you care about risk-adjusted returns: compare Sharpe and max drawdown as well as CAGR. Bitcoin’s huge returns often come with very large drawdowns and higher volatility — many investors prefer a lower CAGR that comes with far lower drawdowns (easier to hold through downturns).
  • QQQ vs SPY: QQQ tends to outperform SPY in tech-led bull markets (i.e., higher CAGR) but also can be more volatile. If you believe in tech’s continued outperformance, QQQ historically rewarded that view.
  • XIT: Canadian tech tends to lag the U.S. tech giants on scale and innovation; don’t be surprised if XIT underperforms QQQ over long horizons — check the exact numbers after running the script.

7) Next steps I can do for you (pick one)

  • A. I’ll fetch live prices now and run this script, then return the chart and exact tables (CAGR & risk metrics) for the tickers you named. (I’ll use web sources and include citations — say “run it” and I’ll fetch.)
  • B. I’ll modify the code to include other ETFs you asked about earlier (e.g., HLAL, FBTC) and produce a broader comparison.
  • C. I’ll produce a downloadable report (PDF) with charts and the interpretation you can use on your blog.

Which would you like? A, B, or C? (If you want A or B please confirm you want live data fetched now.)

If I were putting CAD $5,000 into either SPSK or SPRE — which I’d choose, based on risk/reward and probabilities as of Today (Nov 28, 2025)


🎯 Part 1 — If I were investing CAD $5,000: SPSK vs SPRE

🔹 Key characteristics & trade-offs

ETFWhat works in favorWhat to worry about / risk
SPSK (Sukuk-based)Fixed-income–like behavior → lower volatility; income yield; relatively stable under different equity/real-estate cycles; halal-compliant structure.Yield is modest; upside (capital gain) limited compared to equity/REIT; currency risk if USD-denominated and you hold in CAD; income/yield dependent on global sukuk market and interest-rate environment.
SPRE (Global REIT)Offers dividend yield + potential capital upside if real estate markets improve; global geographic diversification via many REITs; historically REITs tend to do well when rates ease or stabilize.Higher sensitivity to interest rates and global economic cycles; global real estate & currency risk; more volatile — price swings can be larger; income yield + price risk trade-off.

🔮 My choice & reasoning

If I were you and investing $5,000 CAD right now, I would choose SPRE — but with the expectation that it’s more speculative than SPSK, and only commit a portion (maybe 70-80%) of the $5,000 to SPRE — leaving remainder (or other cash) aside or used elsewhere.

Why SPRE

  • The potential return (dividend yield + upside) is greater than SPSK’s conservative income — so for a tranche of capital I’m willing to be somewhat bolder with, the risk/reward balance favors SPRE.
  • Market environment: if yields remain stable or drop, global REITs often benefit (cap-rate compression, higher property valuations, good for REIT dividends).
  • More diversified “real-asset + income + growth” exposure compared with a pure sukuk-income strategy.

With caveats / risk mitigation

  • I’d treat SPRE as a medium-term hold (3–5 years) to ride out rate cycles and global real-estate cycles.
  • I’d accept potential volatility and possibly dividend cuts if real-estate markets underperform.
  • I’d avoid overconcentration — keep SPRE as part of a broader diversified portfolio rather than “all-in.”

Alternatively, if my priority were capital preservation and steady income, and I were less tolerant of volatility, then SPSK would be the safer, more conservative pick.

is SPRE a good purchase today

Here’s my take on whether SPRE is a good purchase today — what looks good, what to watch out for, and under what conditions I would buy it. Use this as a thought exercise (or blog-ready summary), not as investment advice. By ChatGPT


✅ What Looks Good Right Now for SPRE

  • Reasonable yield + income potential: SPRE currently offers a dividend yield in the ballpark of ~ 4.1 %–4.2% per year. (Investing.com)
  • Global diversified Shariah-compliant REIT exposure: SPRE tracks a global, Shariah-screened REIT index (the S&P Global All Equity REIT Shariah Capped Index), giving you exposure to real estate across markets while respecting Islamic-finance constraints. (Schwab Wall Street)
  • Relatively modest volatility among REIT ETFs: Since SPRE holds many properties/REITs globally, the idiosyncratic risk of single REITs is diversified away — which makes it potentially less volatile than owning one or two individual property stocks. (Schwab Wall Street)
  • Potential as a stable income + diversification anchor: For a portfolio that may have equities, sukuk, or growth-oriented assets, SPRE can function as a real-estate anchored income layer — offering diversification from equities/bonds and a hedge against inflation via real estate rents. (SP Funds)

In short: if you believe global real estate income stays stable, and interest rates or macroeconomic conditions remain relatively benign — SPRE offers a mix of yield, diversification, and moderate risk.


⚠️ What to Watch Out For / What Makes SPRE Risky

  • Interest-rate and macroeconomic sensitivity: REITs (and REIT ETFs) tend to be sensitive to interest rates. If rates rise or are expected to rise, borrowing costs go up for REITs, which can pressure property values and dividend yields. (S&P Global)
  • Global real estate & currency risk: Because SPRE invests globally, some of its holdings may have exposure to currencies, geopolitics, or property-market cycles different from your home market. This adds complexity compared to purely domestic REITs or bonds.
  • Moderate performance history: Over the past year, SPRE’s total return (price + dividends) has been negative. (StockAnalysis) That doesn’t mean it can’t recover — but performance hasn’t been stellar recently.
  • Dependence on rental income and property fundamentals: REITs rely on stable occupancy, healthy tenants, regulation, property maintenance costs, and real estate cycles. Any weakness there (global economic slowdown, real-estate downturn, oversupply) could affect performance. (Facet)
  • Dividend vs price return trade-off: With REITs, a large portion of return comes from yield rather than capital growth — so expect periodic distributions, but price appreciation may be sluggish, especially in uncertain rate environments.

🎯 My View: Under What Situation SPRE Makes Sense Today

I consider SPRE a reasonable “core+income” holding — especially if you want real-estate exposure with a global and Shariah-compliant tilt. I would consider buying today if:

  • You expect global economic stability or modest growth, which supports real-estate demand.
  • You are not overly reliant on capital gains — you value dividend + yield + diversification instead.
  • You hold a diversified portfolio (equities, maybe sukuk/fixed income, other assets), and want to balance volatility with real-estate-based income.
  • You’re comfortable with moderate risks (rate sensitivity, global macro, currency) and use a long-term horizon (5–10 years or more).

I’d treat SPRE as a “complementary slice” — not the backbone, but part of a broader asset mix.


✅ What I Would Do (If I Were You)

If I were building or adjusting a portfolio today:

  • I’d allocate a small-to-moderate percentage to SPRE rather than a large chunk — maybe 5–10% of total portfolio, or a larger share of the “income/fixed-income/alternative-assets” portion if I want yield and diversification.
  • I’d buy with a long-term mindset: hold through rate cycles, rents, and global real estate cycles, and reinvest dividends.
  • I’d combine with other assets: global equities, sukuk or bonds (if halal-compliant), maybe some cash, to diversify across asset classes.
  • I would monitor interest-rate outlook and global property/real-estate trends; if rates rise sharply or the real-estate market cools, I’d consider rebalancing or reducing exposure.
  • I’d use limit orders and staggered buying, not lump-sum — to avoid buying at potential short-term peaks.

🧮 Final Verdict

Yes — SPRE can be a good purchase today, if your goal is to build a diversified, income-oriented, slightly conservative portfolio rather than chase aggressive growth. It’s not a “get-rich-fast” asset, but a more stable, income-producing, globally diversified real-estate slice.

Is SPSK a Good Buy Today? A Clear Guide for Long-Term Investors


Is SPSK a Good Buy Today? A Clear Guide for Long-Term Investors: By ChatGPT

The SP Funds Dow Jones Global Sukuk ETF (SPSK) has become one of the most popular halal-compliant fixed-income ETFs available to North American investors. For those seeking stable income, lower volatility than equities, and adherence to Islamic finance principles, SPSK deserves serious consideration. But is today a good time to buy it?

What SPSK Offers

1. Halal-Compliant Fixed-Income Exposure

SPSK invests in global sukuk — asset-backed certificates structured under Islamic finance rules. These securities avoid interest (riba) and are backed by tangible assets, making them suitable for investors seeking Shariah-compliant fixed-income exposure.

2. Lower Volatility Than Equities

Sukuk behave similarly to short–to–intermediate-term bonds. That means smoother price movements and lower drawdowns compared with stock markets, a useful stabilizer in a diversified portfolio.

3. Sustainable Yield

Recent yield levels have hovered in the 3%–4% range depending on market conditions and share class. This makes SPSK an appealing source of steady income while maintaining halal compliance.

4. Moderate Interest-Rate Sensitivity

Sukuk generally exhibit lower duration risk than long-duration government bonds. SPSK tends to react less dramatically to interest-rate shocks, reducing the risk of sharp price swings.

5. Long-Term Track Record & Credible Structure

SPSK follows the Dow Jones Sukuk Index and uses institutional-grade custody for its underlying holdings. For investors who want long-term stability in their fixed-income sleeve, this structure is attractive.


Key Risks to Consider

1. Concentration by Region and Issuer

Most sukuk issuers come from the Gulf region, which means geographic and sector concentration. This limits diversification relative to global bond markets.

2. Lower Liquidity Compared with Major Bond ETFs

The sukuk market is smaller and newer than conventional bond markets. Investors may face wider bid-ask spreads during periods of stress.

3. Currency Exposure

SPSK trades in USD. For Canadian investors, returns will fluctuate based on CAD/USD movements.

4. Regulatory Differences

Sukuk structures vary across jurisdictions. Changes in Islamic-finance regulations or issuer practices may affect valuations.

5. Moderate Yield vs. Alternatives

If interest rates decline sharply, yields across income products may compress, and sukuk returns may become less competitive in relative terms.


Is Today a Good Time to Buy SPSK?

SPSK is a strong long-term income holding — but not a growth asset.

It works well when:

  • you want stability rather than aggressive returns
  • you follow halal investing principles
  • you need a defensive, income-oriented core holding
  • you want diversification away from pure equities

SPSK is best viewed as a steady, long-term anchor in a diversified portfolio. It is less suitable for short-term speculation or investors expecting high capital appreciation.


How to Use SPSK in a Portfolio

A practical allocation range is:

  • 5%–15% of your fixed-income allocation
  • paired with diversified equity ETFs for growth
  • held for income, not frequent trading
  • monitored periodically for currency and interest-rate effects

The ETF works particularly well in portfolios built around risk management, steady income, and ethical finance principles.


Bottom Line

SPSK can be a strong addition to a long-term, halal-compliant portfolio. It provides stable income, lower volatility, and an ethical alternative to conventional bonds. While it carries concentration and liquidity risks, its income stability and Shariah-compliant structure make it appealing for long-term investors seeking conservative exposure.


TFSA & RRSP Over-Contributions: What Canadians Need to Know (2025 Update)

Here is a polished, clean, copyright-free, plagiarism-free summary written as a blog-style post. by ChatGPT


TFSA & RRSP Over-Contributions: What Canadians Need to Know (2025 Update)

When planning ahead for retirement or tax-sheltered investing, it’s common to wonder: “Can I contribute early for next year?” or “How much can I go over my limit without penalty?”
Here is a clear, simple breakdown of how TFSA and RRSP over-contribution rules actually work in Canada.


1. TFSA Over-Contributions — No “Early” Contributions Allowed

You cannot contribute today for next year’s TFSA room.
TFSA contribution room opens January 1st each year, and only then does the new limit become available.

If you contribute early (before Jan 1):

  • The CRA will treat it as an over-contribution.
  • Over-contributions are taxed at 1% per month on the excess amount.
  • The penalty continues until you remove the excess or new room becomes available.

📌 Example:
If you try to add your 2026 TFSA amount in November 2025, the CRA will charge a penalty for November and December because that room does not exist yet.

Key TFSA takeaway:

❌ You cannot pre-pay next year’s TFSA room.
✔ The safest move is to wait until January 1st to add the next year’s contribution.


2. RRSP Over-Contributions — A Small Cushion Exists

RRSPs work differently. Unlike the TFSA, the RRSP offers a small “buffer.”

RRSP over-contribution buffer:

  • You are allowed to over-contribute up to $2,000 in your lifetime without penalty.
  • However, this $2,000 does NOT generate a tax deduction—it just sits in the account.

If you exceed the $2,000 buffer:

  • CRA charges a 1% per month penalty on the excess above $2,000.
  • This penalty stays until the amount is withdrawn or new contribution room absorbs it.

📌 Example:
If your contribution room is $10,000 and you contribute $13,000, you are $3,000 over.
The first $2,000 is forgiven, but the remaining $1,000 is taxed at 1% per month.

Key RRSP takeaway:

✔ You can go up to $2,000 over your limit without penalties.
❌ You cannot claim a deduction for that $2,000.
✔ Anything beyond that incurs monthly penalties.


Quick Comparison: TFSA vs. RRSP Over-Contributions

FeatureTFSARRSP
Can you pre-pay next year’s room?❌ No✔ Contribution timing is flexible, but must stay within limits
Penalty starts when?Immediate excess → 1% per monthOnly on excess above $2,000
Allowed bufferNone$2,000 lifetime allowance
When does new room open?Jan 1 every yearFeb/March tax filing updates your room

Final Thoughts

Both the TFSA and RRSP are powerful tax-sheltered tools, but the rules around contribution timing are strict.

  • TFSA: No early contributions — wait for January 1st.
  • RRSP: A small $2,000 buffer exists, but don’t rely on it as a strategy.

Planning ahead is great, just make sure your contribution timing aligns with CRA rules to avoid unnecessary penalties.

How to Run the GNS3 VM Inside Oracle VirtualBox

How to Run the GNS3 VM Inside Oracle VirtualBox

Here is a clean, fully rewritten, plagiarism-free, blog-ready version that covers both the step-by-step tutorial and the architecture diagram explanation, merged into one smooth article.

You can publish this as-is.


How to Run the GNS3 VM Inside Oracle VirtualBox

A Complete Guide

GNS3 becomes far more powerful and efficient when paired with the GNS3 VM. Instead of your host machine running all routers, switches, and appliances, the load shifts into a dedicated virtual machine. While many users rely on VMware, you can run the GNS3 VM just as effectively using Oracle VirtualBox.

This guide walks you through importing the GNS3 VM OVA file, configuring VirtualBox, linking the VM to the GNS3 desktop client, and understanding how the network paths between each component work.


Step 1: Extract the GNS3 VM ZIP File

After downloading the GNS3 VM package for VirtualBox:

  1. Locate the ZIP file (for example, GNS3.VM.2.x.zip).
  2. Extract it using your preferred tool.
  3. Inside the extracted folder, you will find a .ova file — this is the VirtualBox-ready appliance.

What is an OVA file?
It’s an “Open Virtualization Appliance,” a ready-to-run virtual machine packaged for import.


Step 2: Open Oracle VirtualBox

  1. Launch VirtualBox.
  2. Go to File → Import Appliance.

This prepares VirtualBox to load the GNS3 VM image.


Step 3: Select the OVA File

  1. Click Choose.
  2. Browse to the extracted folder.
  3. Select the .ova file and click Next.

VirtualBox will show a summary of the machine it is about to import.


Step 4: Adjust the Import Settings

(Highly recommended for performance)

Before completing the import, review the resource allocation:

  • CPU: Assign at least 2 cores (more if you run complex topologies).
  • RAM: Minimum 4 GB; 8 GB provides much smoother performance.
  • Network Adapters: Keep the default NAT + Host-Only configuration.
    • NAT helps the VM reach the Internet (for updates).
    • Host-Only ensures reliable communication between your GNS3 GUI and the VM.
  • MAC Address Policy: Keeping “Generate new MAC addresses for all adapters” can help avoid conflicts.

After reviewing, click Import. VirtualBox will create the VM automatically.


Step 5: Start the GNS3 VM

  1. Select the imported VM.
  2. Click Start.
  3. Allow the VM to boot into the GNS3 VM console (Ubuntu-based).

You should see its IP address and confirmation that the GNS3 backend services are running.


Step 6: Connect GNS3 to the VM

Next, tell your GNS3 desktop application to use the VM instead of running devices locally.

  1. Open GNS3 on your host computer.
  2. Go to Edit → Preferences → GNS3 VM.
  3. Enable “Enable the GNS3 VM”.
  4. Select VirtualBox as the virtualization provider.
  5. Choose the GNS3 VM from the dropdown.
  6. Click Test Settings.

A successful configuration will show a message indicating that the GNS3 VM is detected and running.


How the Host, GNS3 VM, and VirtualBox Communicate

Understanding the communication path helps troubleshoot connectivity and device start-up issues.

          +——————-+

          |     Host OS       |

          |  (Windows/Linux)  |

          |                   |

          |     GNS3 GUI      |

          +———+———+

                    |

         VirtualBox Host-Only Adapter

                    |

          +———v———+

          |     GNS3 VM       |

          |   (Ubuntu Core)   |

          |                   |

          |  Dynamips/QEMU    |

          |  Routers/Switches |

          +———+———+

                    |

       Internal Networks for Lab Devices

                    |

           +——–v——–+

           | Virtual Routers |

           | Virtual Switches|

           |   VPCS / PCs    |

           +—————–+

How the pieces interact:

1. GNS3 GUI on the Host OS

  • You design topologies.
  • Commands and device operations are sent to the VM through the Host-Only network.

2. GNS3 VM running inside VirtualBox

  • Performs the heavy emulation work.
  • Handles IOSv, IOSvL2, QEMU images, VPCS, Docker containers, and more.
  • Reduces CPU/RAM load on your host.

3. VirtualBox Network Adapters

  • Host-Only Adapter:
    Used for stable host ⇄ VM communication.
  • NAT Adapter:
    Allows the VM to access the internet.
  • Internal GNS3 Networks:
    Used by devices inside your topologies to talk to each other.

This architecture ensures that your host machine remains responsive while the VM handles networking workloads.


Final Thoughts

Running the GNS3 VM within Oracle VirtualBox is a powerful solution that avoids the need for VMware products while providing the same performance benefits. Once the VM is imported, configured, and linked with the GNS3 client, you can run large labs with routers, switches, firewalls, and servers — all inside a controlled virtual environment.

If you want, I can also prepare:

✅ A companion guide for configuring VirtualBox network adapters
✅ A troubleshooting section for common GNS3 VM errors
✅ A printable PDF version of this guide

Polished: How to Find and Import Cisco Router Images (BIN/IMAGE) Into GNS3

Polished: How to Find and Import Cisco Router Images (BIN/IMAGE) Into GNS3 (By ChatGPT)

To use classic Cisco routers such as the 3725 in your GNS3 labs, you’ll need the correct IOS image files. This guide explains where to find them, where to store them, and how to import them properly into GNS3.


Where to Store IOS Images in GNS3

GNS3 expects router images to be placed inside its dedicated IOS directory.
On Windows, the default path is:

C:\Users\<your-username>\GNS3\images\IOS

Simply drop your .bin, .image, or extracted IOS files into that folder.

If you received IOS files from another source (e.g., a .zip archive shared through Teams), extract them and place the contents into the images\IOS directory.


Where to Find Cisco Router Images

GNS3 provides a library of appliances and linked documentation. Cisco IOS images themselves are not distributed directly by GNS3, but some resources help guide the process.

A good starting point:

  • Cisco 3725 appliance page:
    (GNS3 Marketplace → Cisco 3725)
  • GNS3 Official Instructions:
    Covers importing appliances and setting up IOS, Dynamips, and related options.

These resources walk through how to prepare and import older Cisco router images for lab use.


How to Import the Cisco 3725 Router Image Into GNS3

The following steps use the Dynamips engine inside GNS3.


Step 1: Open the IOS Router Import Wizard

  1. Go to Edit → Preferences.
  2. Navigate to Dynamips → IOS Routers.
  3. Click New to start the import process.

Step 2: Select Your IOS Image

  1. Browse to your c3725-*.bin image file.
  2. Choose Copy image to GNS3 images directory.
  3. Select Decompress when prompted.
    (This speeds up boot time and reduces CPU usage.)

Step 3: Choose Router Platform & RAM

  • Platform: c3725
  • Recommended RAM: 256 MB

GNS3 will automatically suggest optimal values.


Step 4: Add Optional Hardware Modules

Depending on the lab you want to build, you can add modules to the router:

Common modules:

ModulePurpose
NM-1FE-TXAdds FastEthernet interfaces
NM-16ESWAdds a 16-port switch module
WIC-2TCreates serial interfaces (used for WAN labs)

Add these in the Slots section of the import wizard.


Step 5: Set Idle-PC Value

Idle-PC prevents your CPU from spiking to 100%.

  1. Click Idle-PC.
  2. Choose Auto-compute.
  3. Select the entry marked with an asterisk (*) — this is the best option.

Step 6: Finish and Save the Template

Once completed, you now have a reusable router template inside GNS3.


Using the Cisco 3725 Router in Your Lab

(You can ignore this section unless your lab requires configuration.)

Add the Router to a Project

  1. Drag the C3725 template into your workspace.
  2. Start the device.
  3. Right-click → Console.

Basic Configuration Example

enable

configure terminal

hostname R1

interface FastEthernet0/0

  ip address 192.168.1.1 255.255.255.0

  no shutdown

end

write memory

show ip interface brief


Serial Interface Example (Router-to-Router Link)

interface Serial0/0

  ip address 10.1.1.1 255.255.255.252

  clock rate 64000   ! Use only on the DCE side

  no shutdown


✅ Your Cisco 3725 Router Is Now Ready for Use in GNS3

Once imported, you can create topologies, experiment with routing protocols, practice WAN labs, or run switching features using the NM-16ESW module.

How to Configure VirtualBox Network Adapters for the GNS3 VM (with GNS3 GUI)

Here is a polished, blog-ready version — fully rewritten, original, plagiarism-free, and safe for publishing.


How to Configure VirtualBox Network Adapters for the GNS3 VM (with GNS3 GUI)

Setting up the GNS3 VM correctly inside VirtualBox is essential if you want the GNS3 GUI on your computer to communicate smoothly with the backend VM. This guide walks through the recommended adapter configuration and explains why each setting matters.


Step 1: Open the Network Settings for the GNS3 VM

  1. Launch VirtualBox.
  2. Select GNS3 VM from the list.
  3. Click Settings, then open the Network section.

All adapter configuration will happen here.


Step 2: Configure Adapter 1 (Host-Only Network)

Purpose: Creates a direct link between your host computer and the GNS3 VM.
This connection allows the GNS3 GUI to manage devices inside the VM.

  1. Enable Adapter 1.
  2. Set Attached to → Host-Only Adapter.
  3. Choose your default VirtualBox host-only network (commonly vboxnet0).
  4. Leave Promiscuous Mode at Deny.
  5. Keep the default adapter type (Intel PRO/1000 MT Desktop is fine).

This first adapter is the most important one — without it, the GNS3 GUI cannot reach the server process running inside the VM.


Step 3: Configure Adapter 2 (NAT for Internet Access)

Purpose: Allows the GNS3 VM to reach the internet for updates, image downloads, or cloud-related labs.

  1. Enable Adapter 2.
  2. Set Attached to → NAT.
  3. Keep all other settings at their defaults.

This adapter is optional, but recommended if your labs need online access.


Step 4: Start the GNS3 VM

  1. Power on the GNS3 VM.
  2. When it finishes booting, the console will display something like:

GNS3 VM is running

IP: 192.168.56.x

This IP address is assigned from your Host-Only network and is used by the GNS3 GUI to communicate with the VM.


Step 5: Connect the GNS3 GUI to the VM

  1. Open the GNS3 GUI.
  2. Go to Edit → Preferences → GNS3 VM.
  3. Check Enable the GNS3 VM.
  4. Set the virtualization platform to VirtualBox.
  5. Select your GNS3 VM from the list.
  6. Click Test Settings.

You should see a message confirming that the GUI has successfully connected to the VM.


Step 6: Confirm Everything in GNS3

You can verify the setup by:

  • Adding a device (router, switch, or appliance) to a new project
  • Starting the device
  • Watching VirtualBox to see CPU activity inside the GNS3 VM

If the VM is doing the work, you’ve configured everything correctly.


Helpful Tips

  • Start the GNS3 VM first, then open the GNS3 GUI.
  • Use the Host-Only adapter for GUI ↔ VM communication.
  • Add a NAT adapter only if the VM needs internet access.
  • Avoid installing extra software inside the GNS3 VM unless required — it’s already optimized for GNS3.

Some Details on Network Adapter Settings for GNS VM in VirtualBox

Here is a polished, blog-ready rewrite — copyright-free, plagiarism-free, and integrity-safe.


How to Configure Network Adapters for the GNS3 VM in VirtualBox

When running the GNS3 VM inside VirtualBox, proper network adapter configuration is essential. The GNS3 GUI on your host system relies on these adapters to communicate with the VM, manage devices, and build network topologies. Here’s a clear overview of how the setup works and which settings are recommended.


Why the GNS3 VM Needs a Network Adapter

The GNS3 VM is essentially an Ubuntu-based virtual machine that runs the GNS3 server backend.
For the GNS3 GUI on your laptop or desktop to connect to this backend, it must be able to reach the VM over a virtual network.

A VirtualBox network adapter provides this connection path.
Without at least one adapter enabled, the GUI cannot communicate with the server running inside the VM, meaning your appliances and topologies won’t load.


Recommended VirtualBox Network Setup

Open VirtualBox → GNS3 VM → Settings → Network, then configure the following:

1. Adapter 1: Host-Only Adapter (Required)

This is the most important adapter.

  • Allows your host machine (Windows, macOS, or Linux) to communicate directly with the VM
  • Typically uses the 192.168.56.x VirtualBox Host-Only network
  • Used by the GNS3 GUI to connect to the VM’s server

Most installations rely on this adapter for all GUI–VM communication.


2. Adapter 2: NAT (Optional, but Useful)

Enabling NAT gives the GNS3 VM access to the internet.

This helps with:

  • OS updates inside the VM
  • Downloading Docker containers
  • Updating GNS3 packages or appliances

If you don’t need internet access inside the VM, you can skip this adapter—many users do.


How the GNS3 GUI Detects the VM

Inside GNS3 → Preferences → GNS3 VM → VirtualBox, the GUI reads the IP address assigned to the Host-Only adapter.
It uses that address to connect to the GNS3 server running inside the VM.

Once connected, the GUI offloads processing to the VM, allowing your devices, emulators, and topologies to run smoothly.


Quick Summary

  • Yes — you need at least one VirtualBox network adapter for the GNS3 VM.
  • The Host-Only adapter is mandatory so your host can reach the VM.
  • A NAT adapter is optional and only needed if the VM must access the internet.

With this setup, the GUI and VM work together seamlessly, giving you a stable GNS3 environment.


Step by Step

Here is a clean, structured, step-by-step tutorial on configuring VirtualBox network adapters for the GNS3 VM — no screenshots included, easy to follow, and ready for a blog post.


Step-by-Step Tutorial: Configuring Network Adapters for the GNS3 VM in VirtualBox

This guide walks you through the exact steps needed to configure the GNS3 VM’s network adapters in VirtualBox. Proper configuration ensures that the GNS3 GUI on your host system can communicate with the VM and, if needed, that the VM can access the internet.


Step 1 — Open VirtualBox and Locate the GNS3 VM

  1. Launch Oracle VM VirtualBox.
  2. In the left panel, find and select GNS3 VM.
  3. Do not start the VM yet — configuration must be done while it is powered off.

Step 2 — Open the VM Network Settings

  1. With GNS3 VM selected, click Settings.
  2. Navigate to the Network tab in the left-hand menu.

You will configure multiple adapters here.


Step 3 — Enable Adapter 1 as a Host-Only Adapter

  1. Select Adapter 1.
  2. Check Enable Network Adapter.
  3. For Attached to, select Host-Only Adapter.
  4. Ensure the Host-Only network chosen belongs to VirtualBox (commonly named vboxnet0 or similar).

This adapter allows direct communication between your host OS and the VM and is essential for GNS3 to function.


Step 4 — (Optional) Enable Adapter 2 for NAT

If you want the GNS3 VM to access the internet:

  1. Select Adapter 2.
  2. Check Enable Network Adapter.
  3. Set Attached to = NAT.

NAT is useful for accessing updates, pulling Docker images, or running cloud-related labs.

If you do not need internet inside the VM, you may skip this adapter.


Step 5 — Leave the Remaining Adapters Disabled

  • Adapter 3 and Adapter 4 should remain unchecked unless you have a specific advanced use case.
  • Most users only need Host-Only and optionally NAT.

Step 6 — Save the Settings

  1. Click OK at the bottom of the settings window.
  2. The new configuration is now applied.

Step 7 — Start the GNS3 VM

  1. Start the GNS3 VM from VirtualBox or let GNS3 launch it automatically.
  2. Wait for the VM to finish booting.

The VM will receive an IP address on the Host-Only network, typically something like:

192.168.56.x

This is the address the GNS3 GUI will use to connect.


Step 8 — Configure the GNS3 GUI to Use the GNS3 VM

Inside the GNS3 GUI:

  1. Open Edit → Preferences.
  2. Select GNS3 VM from the left menu.
  3. Set Virtualization engine to VirtualBox.
  4. Ensure Enable the GNS3 VM is checked.
  5. Apply the settings.

GNS3 will detect the VM and establish a connection using the Host-Only adapter.


Step 9 — Confirm GNS3 Connectivity

After enabling the VM inside preferences:

  1. Look for the status indicator in the bottom-left of GNS3.
  2. It should show that the GUI is connected to the VM server.
  3. You can also open Help → AboutServer to confirm the server is running.

If the GUI cannot reach the VM, recheck:

  • Host-Only Adapter selection
  • Whether the VM has an IP address
  • Whether the VM is running

Step 10 — Start Using GNS3 with the VM

Once the GUI successfully connects:

  • You can deploy appliances inside the VM
  • Dynamips, QEMU, and Docker nodes will run inside the VM
  • Local resources on your host are preserved

Your environment should now behave consistently and perform better than running everything directly on the host.


Final Summary

AdapterTypePurpose
1Host-OnlyRequired for GUI ↔ VM communication
2NAT (optional)Provides internet access to the VM
3 & 4DisabledNot needed for standard setups

With this configuration, your GNS3 environment is optimized, stable, and ready for lab work.