I'd say it's the Venetian Empire. It was essentially a banking city-state that relied on mercenaries and wealth to fuel its expansion. Every new territory established more trading posts, generated even more banking revenue, and strengthened the tiny city's monopoly over trade.

Venice's dominance—along with the Ottomans' control of trade in the eastern Mediterranean—eventually pushed the Western European powers to finance voyages in search of new routes to the East, leading to the discovery of the New World.

I just find it fascinating how much power such a small city had.

Will be goated

Read this post-https://www.reddit.com/r/confession/comments/194fmv/i\_am\_sexually\_attracted\_to\_a\_13\_year\_old/

I don't necessarily condone it. I'm jus saying, nowadays, the guy in the post would be called a creep.

chose.

Academic Profile

GPA

• Weighted: 4.45
• Unweighted: 3.97

SAT

• 1490 (790 Math, 700 Evidence-Based Reading & Writing)

Advanced Placement (AP) Coursework

Completed

• AP Chemistry — 4
• AP Computer Science Principles — 4
• AP World History — 5
• AP U.S. Government — 5
• AP Precalculus — 5
• AP English Language — 4

Senior Year

• AP Calculus BC
• AP Biology
• AP Computer Science A
• AP English Literature

Extracurricular Activities & Leadership

Founder & President – Investment Club (2025–Present)

• Founded and lead a student investment club focused on fundamental analysis, portfolio management, and financial literacy.
• Organize meetings, investment discussions, educational workshops, and market analysis activities.

AI & Quantitative Finance Intern (2026)

• Collaborated with mentors to develop Python-based sentiment trading models.
• Explored artificial intelligence applications in financial markets and quantitative investing.

Summer Research Intern (2026)

• Conducted interdisciplinary research focused on environmental and community challenges.
• Developed programming solutions, collected and analyzed data, and integrated hardware components into research projects.

Robotics Team – Co-Lead Programmer & Co-Lead Engineering Notebooker (2024–Present)

• Developed competition robotics software using C++.
• Maintained engineering documentation and design notebooks.
• Interpreted technical drawings and collaborated on robot design and development.

Quantum Computing Club & Independent Study (2026)

• Served as a tutor for the Quantum Computing Club.
• Attended a regional quantum computing conference.
• Completed independent coursework in quantum computing concepts and applications.

Selective Business & Entrepreneurship Summer Program (2026)

• Participated in a competitive summer program focused on finance, entrepreneurship, and leadership development.
• Collaborated on business case studies and professional development activities.

Independent Financial Modeling & Trading Research (2026)

• Designed and implemented algorithmic trading systems using Python.
• Utilized Pandas, Matplotlib, YFinance, and related data analysis tools.
• Conducted backtesting, market analysis, and quantitative research.

Senior SAT Tutor (100+ Volunteer Hours) (2025–Present)

• Provided over 100 hours of SAT Math and Reading tutoring to students worldwide.
• Mentored new tutors and supported instructional quality and student success.

Finance Internship (2026)

• Assisted with financial and market data analysis.
• Supported investment research and asset management initiatives.

Band Member (2022–Present)

• Perform in multiple youth and school orchestras.
• Participate in concerts at universities and performance venues throughout the Washington, D.C. metropolitan area.
• Developed discipline, teamwork, and long-term commitment through advanced ensemble performance.

I'm extremely bearish on SpaceX due to its horrible fundamentals, media coverage, and my belief that holders of locked-up stock options will sell once their shares unlock. I plan to buy puts and short SpcveX at a weighting of about 2% of the Nasdaq, since that's roughly its share of the index's market capitalization, so it should hedge it out.

Grades matter so much more because they affect college choices, scholarships, and future opportunities. If you fail, you may have to stay with your parents for another two years while attending community college. Heck, those who fail often lack the work ethic to even complete community college. They will likely just end up working a dead-end job like McDonald's.

So, with all of the benefits of succeeding and the consequences of failing, why do some people choose the latter?

Don't say depression. You can still succeed with depression, and the incentive should be enough to motivate someone to succeed.

It sucks I was born ugly with social anxiety.

I don't even blame myself, ngl. I try to talk to people, but most of the time they ignore me.

I remember one time I met this guy on a cruise with the exact same personality as me: shy, quiet, socially anxious, etc., and we hit it off. He just happened to be conventionally attractive and lighter-skinned. Eventually, he was invited to a friend group I wanted to join without even trying. They went out of their way to invite him.

Shit's not my fault. I blame everyone else.

import nest_asyncio

nest_asyncio.apply()

from pandas_ta import macd

import pandas as pd

from datetime import datetime, timedelta, timezone

import numpy as np

import asyncio

from types import SimpleNamespace

import math

from alpaca.trading.client import TradingClient

from alpaca.trading.enums import OrderSide, TimeInForce

from alpaca.trading.requests import (

MarketOrderRequest,

LimitOrderRequest,

StopOrderRequest

)

from alpaca.data.historical import StockHistoricalDataClient

from alpaca.data.requests import StockBarsRequest

from alpaca.data.timeframe import TimeFrame

from alpaca.trading.stream import TradingStream

from alpaca.data.live import StockDataStream

from alpaca.data.enums import DataFeed

# Configured explicitly with your secret key and the free IEX data feed

stock_data_stream = StockDataStream(

'YOUR_API_KEY',

'YOUR_SECRET_KEY',

feed=DataFeed.IEX

)

trading_stream = TradingStream(

'YOUR_API_KEY',

'YOUR_SECRET_KEY',

paper=True

)

# Alpaca Paper Trading

trading_client = TradingClient(

'YOUR_API_KEY',

'YOUR_SECRET_KEY',

paper=True

)

stock_historical_data_client = StockHistoricalDataClient(

'YOUR_API_KEY',

'YOUR_SECRET_KEY'

)

stock_bars_request = StockBarsRequest(

symbol_or_symbols="TSLA",

timeframe=TimeFrame.Day,

start=datetime(2026, 6, 10, 15),

end=datetime(2026, 6, 25, 15)

)

account = trading_client.get_account()

print("Account Number:", account.account_number)

print("Buying Power:", account.buying_power)

print("Currency:", account.currency)

class Util:

u/staticmethod

def to_dataframe(data):

data_list = data if isinstance(data, list) else [data]

try:

return pd.DataFrame([item.model_dump() for item in data_list])

except AttributeError:

try:

return pd.DataFrame([item.dict() for item in data_list])

except AttributeError:

return pd.DataFrame([vars(item) for item in data_list])

async def handle_order_update(update):

print(f"Order update: {update.order.id}")

print(f"Filled QTY: {update.qty}")

print(f"Filled Price: {update.price}")

print(f"Status:{update.order.status}")

async def handle_quotes(quote):

print("New Quote")

print(quote)

async def handle_trades(trade):

print("New Trade")

print(trade)

async def handle_bars(bar):

print("New Bar")

print(bar)

print("Fetching real historical bars to prime MACD...")

historical_request = StockBarsRequest(

symbol_or_symbols="TSLA",

timeframe=TimeFrame.Minute,

start=datetime.now(timezone.utc) - timedelta(minutes=60),

end=datetime.now(timezone.utc),

feed=DataFeed.IEX

)

historical_data = stock_historical_data_client.get_stock_bars(historical_request)

tsla_bars = historical_data.data.get("TSLA", [])

initial_test_bars = [

SimpleNamespace(

open=b.open,

high=b.high,

low=b.low,

close=b.close,

volume=b.volume

)

for b in tsla_bars

]

bars = []

has_position = False

async def on_new_bar(bar):

global bars

global has_position

bars.append(bar)

if len(bars) < 35:

print(f"Not enough data for macd Calculation: {len(bars)}/35")

else:

df = Util.to_dataframe(bars)

macd_did = macd(df['close'], fast=12, slow=26, signal=9)

print(f"macd:\n{macd_did.tail(1)}")

df['MACD_Histogram'] = macd_did['MACDh_12_26_9']

if df['MACD_Histogram'].iloc[-1] > 0 and not has_position:

print("BUY TSLA")

has_position = True

trading_client.submit_order(

order_data=MarketOrderRequest(

symbol="TSLA",

qty=100,

side=OrderSide.BUY,

time_in_force=TimeInForce.DAY

)

)

elif df['MACD_Histogram'].iloc[-1] < 0 and has_position:

print("SELL TSLA")

has_position = False

trading_client.submit_order(

order_data=MarketOrderRequest(

symbol="TS

mcq=45/60

frq=25/46(teacher never gave us frq practice)

The teachers kinda suck in my school. Only 1 out of 150 students got a 5 the previous years while we do good for literally every other subject.

Can I get a 4?

Academic Profile

GPA

• Weighted: 4.45
• Unweighted: 3.97

SAT

• 1520 (790 Math, 730 Evidence-Based Reading & Writing)

Advanced Placement (AP) Coursework

Completed

• AP Chemistry — 4
• AP Computer Science Principles — 4
• AP World History — 5
• AP U.S. Government — 5
• AP Precalculus — 5
• AP English Language — 4

Senior Year

• AP Calculus BC
• AP Biology
• AP Computer Science A
• AP English Literature

Extracurricular Activities & Leadership

Founder & President – Investment Club (2025–Present)

• Founded and lead a student investment club focused on fundamental analysis, portfolio management, and financial literacy.
• Organize meetings, investment discussions, educational workshops, and market analysis activities.

AI & Quantitative Finance Intern (2026)

• Collaborated with mentors to develop Python-based sentiment trading models.
• Explored artificial intelligence applications in financial markets and quantitative investing.

Summer Research Intern (2026)

• Conducted interdisciplinary research focused on environmental and community challenges.
• Developed programming solutions, collected and analyzed data, and integrated hardware components into research projects.

Robotics Team – Co-Lead Programmer & Co-Lead Engineering Notebooker (2024–Present)

• Developed competition robotics software using C++.
• Maintained engineering documentation and design notebooks.
• Interpreted technical drawings and collaborated on robot design and development.

Quantum Computing Club & Independent Study (2026)

• Served as a tutor for the Quantum Computing Club.
• Attended a regional quantum computing conference.
• Completed independent coursework in quantum computing concepts and applications.

Selective Business & Entrepreneurship Summer Program (2026)

• Participated in a competitive summer program focused on finance, entrepreneurship, and leadership development.
• Collaborated on business case studies and professional development activities.

Independent Financial Modeling & Trading Research (2026)

• Designed and implemented algorithmic trading systems using Python.
• Utilized Pandas, Matplotlib, YFinance, and related data analysis tools.
• Conducted backtesting, market analysis, and quantitative research.

Senior SAT Tutor (100+ Volunteer Hours) (2025–Present)

• Provided over 100 hours of SAT Math and Reading tutoring to students worldwide.
• Mentored new tutors and supported instructional quality and student success.

Finance Internship (2026)

• Assisted with financial and market data analysis.
• Supported investment research and asset management initiatives.

Band Member (2022–Present)

• Perform in multiple youth and school orchestras.
• Participate in concerts at universities and performance venues throughout the Washington, D.C. metropolitan area.
• Developed discipline, teamwork, and long-term commitment through advanced ensemble performance.

Academic Profile

GPA

• Weighted: 4.45
• Unweighted: 3.97

SAT

• 1520 (790 Math, 730 Evidence-Based Reading & Writing)

Advanced Placement (AP) Coursework

Completed

• AP Chemistry — 4
• AP Computer Science Principles — 4
• AP World History — 5
• AP U.S. Government — 5
• AP Precalculus — 5
• AP English Language — 4

Senior Year

• AP Calculus BC
• AP Biology
• AP Computer Science A
• AP English Literature

Extracurricular Activities & Leadership

Founder & President – Investment Club (2025–Present)

• Founded and lead a student investment club focused on fundamental analysis, portfolio management, and financial literacy.
• Organize meetings, investment discussions, educational workshops, and market analysis activities.

AI & Quantitative Finance Intern (2026)

• Collaborated with mentors to develop Python-based sentiment trading models.
• Explored artificial intelligence applications in financial markets and quantitative investing.

Summer Research Intern (2026)

• Conducted interdisciplinary research focused on environmental and community challenges.
• Developed programming solutions, collected and analyzed data, and integrated hardware components into research projects.

Robotics Team – Co-Lead Programmer & Co-Lead Engineering Notebooker (2024–Present)

• Developed competition robotics software using C++.
• Maintained engineering documentation and design notebooks.
• Interpreted technical drawings and collaborated on robot design and development.

Quantum Computing Club & Independent Study (2026)

• Served as a tutor for the Quantum Computing Club.
• Attended a regional quantum computing conference.
• Completed independent coursework in quantum computing concepts and applications.

Selective Business & Entrepreneurship Summer Program (2026)

• Participated in a competitive summer program focused on finance, entrepreneurship, and leadership development.
• Collaborated on business case studies and professional development activities.

Independent Financial Modeling & Trading Research (2026)

• Designed and implemented algorithmic trading systems using Python.
• Utilized Pandas, Matplotlib, YFinance, and related data analysis tools.
• Conducted backtesting, market analysis, and quantitative research.

Senior SAT Tutor (100+ Volunteer Hours) (2025–Present)

• Provided over 100 hours of SAT Math and Reading tutoring to students worldwide.
• Mentored new tutors and supported instructional quality and student success.

Finance Internship (2026)

• Assisted with financial and market data analysis.
• Supported investment research and asset management initiatives.

Band Member (2022–Present)

• Perform in multiple youth and school orchestras.
• Participate in concerts at universities and performance venues throughout the Washington, D.C. metropolitan area.
• Developed discipline, teamwork, and long-term commitment through advanced ensemble performance.

I wonder if schools do this to make themselves look more competitive.

It's satire. I just wanna practice more video editing.

I think my biggest issues are my pacing and audio. Other advice is welcomed.

Link-https://www.youtube.com/watch?v=gIRwBNTXm\_Q&t=8s

I'm a rising senior, and there's this sophomore girl I find attractive. In your view, would it be socially acceptable to ask her out? Would people judge me?

I don't really care about the morality of it. I'm just wondering how people would view it. It's only about a 1–2 year age gap, so it doesn't seem like a big deal.

It's summer, and I have no one to text. I have one sister, but she dislikes me for some reason and is the opposite gender, so i'd have trouble connecting to her anyway. I'd prefer to text people I know, but I have no one, so I use reddit.

Am I the only one, or do people usually use reddit as for entertainment.

I'm kinda a dud personality wise, but I have somewhat interesting ECs.

i need advice for prompts like this-Please describe what aspects of your life experiences, interests and character would help you make a distinctive contribution as an undergraduate to Stanford University.*

import nest_asyncio

nest_asyncio.apply()

import pandas as pd

from datetime import datetime, timedelta, timezone

import asyncio

from types import SimpleNamespace

from pandas_ta import macd

from alpaca.trading.client import TradingClient

from alpaca.trading.enums import OrderSide, TimeInForce

from alpaca.trading.requests import MarketOrderRequest

from alpaca.data.historical import StockHistoricalDataClient

from alpaca.data.requests import StockBarsRequest

from alpaca.data.timeframe import TimeFrame

from alpaca.data.live import StockDataStream

from alpaca.data.enums import DataFeed

API_KEY = "YOUR_API_KEY"

SECRET_KEY = "YOUR_SECRET_KEY"

stock_data_stream = StockDataStream(API_KEY, SECRET_KEY, feed=DataFeed.IEX)

trading_client = TradingClient(API_KEY, SECRET_KEY, paper=True)

stock_historical_data_client = StockHistoricalDataClient(API_KEY, SECRET_KEY)

def to_dataframe(data):

data = data if isinstance(data, list) else [data]

return pd.DataFrame([vars(x) for x in data])

historical_request = StockBarsRequest(

symbol_or_symbols="TSLA",

timeframe=TimeFrame.Minute,

start=datetime.now(timezone.utc) - timedelta(minutes=60),

end=datetime.now(timezone.utc),

feed=DataFeed.IEX

)

historical_data = stock_historical_data_client.get_stock_bars(historical_request)

tsla_bars = historical_data.data.get("TSLA", [])

initial_test_bars = [

SimpleNamespace(

open=b.open,

high=b.high,

low=b.low,

close=b.close,

volume=b.volume

)

for b in tsla_bars

]

bars = []

has_position = False

async def on_new_bar(bar):

global bars, has_position

bars.append(bar)

if len(bars) < 35:

print(f"Waiting for data: {len(bars)}/35")

return

df = to_dataframe(bars)

macd_df = macd(df["close"], fast=12, slow=26, signal=9)

df["MACD_Histogram"] = macd_df["MACDh_12_26_9"]

latest = df["MACD_Histogram"].iloc[-1]

if latest < 0 and not has_position:

print("BUY TSLA")

has_position = True

trading_client.submit_order(

order_data=MarketOrderRequest(

symbol="TSLA",

qty=100,

side=OrderSide.BUY,

time_in_force=TimeInForce.DAY

)

)

elif latest >= 0 and has_position:

print("SELL TSLA")

has_position = False

trading_client.submit_order(

order_data=MarketOrderRequest(

symbol="TSLA",

qty=100,

side=OrderSide.SELL,

time_in_force=TimeInForce.DAY

)

)

async def main():

print("Loading historical bars...")

for bar in initial_test_bars:

await on_new_bar(bar)

stock_data_stream.subscribe_bars(on_new_bar, "TSLA")

print("Running live stream...")

await stock_data_stream.run()

if __name__ == "__main__":

    asyncio.run(main())

Academics

GPA: 4.45 Weighted | 3.97 Unweighted
SAT: 1520 (790 Math, 730 Evidence-Based Reading & Writing)

AP Coursework

• AP Chemistry — 4
• AP Computer Science Principles — 4
• AP World History — 5
• AP U.S. Government — 5
• AP Precalculus — 5
• AP English Language — 4
• AP Calculus BC (Next Year)
• AP Biology (Next Year)
• AP Computer Science A (Next Year)
• AP Literature (Next Year)

Extracurricular Activities

Founder & President, High School Investment Club (2025–Present)

Founded and led an investment club focused on fundamental analysis and financial literacy. Organized meetings, investment discussions, and educational workshops.

Summer Research Intern, College Research Program (2026)

Designed projects addressing environmental and community challenges through programming, data collection, and hardware integration with professors.

High School Robotics Team – Co-Lead Programmer & Co-Lead Notebooker (Oct. 2024–Present)

Develop software in C++ for competition robotics. Managed engineering documentation, maintained design notebooks, and interpreted technical drawings.

Quantum Computing Club & Independent Study (2026)

Tutor for the Quantum Computing Club. Attended a quantum computing conference and completed additional independent coursework.

Prestigious Business & Entrepreneurship Summer Program (2026)

Participated in a selective business and entrepreneurship program focused on finance, leadership, and professional development.

Financial Modeling & Trading Research Project (2026)

Independently developed algorithmic trading systems using Python, Pandas, Matplotlib, YFinance, and Spyder.

Senior SAT Tutor, For non profit. 100+ Volunteer Hours) (June 2025–Present)

Provided over 100 hours of volunteer SAT Math and Reading tutoring to domestic and international students while mentoring newer tutors.

Finance Internship (Summer 2026)

Assisted with financial and market data analysis to support investment research and asset management.

Trumpeter – High School Band & Youth Ensembles (2022–Present)

Performed in school and community ensembles while developing musicianship, discipline, teamwork, and long-term commitment through rehearsals and public performances.