Aarav Sharma

The math behind strategies everyone copies blindly | Martingale · Kelly · EV · Monte Carlo | Binary options & TA | Weekly threads

[Aarav Sharma @riskwithaarav]

I built a trading bot because I got tired of watching the market all day.

The idea was simple:

What if the repetitive parts of trading could be handled automatically?

So I started building.

I worked on the strategy, execution, position management, risk controls, automation and the infrastructure needed to keep everything running without constant manual input.

What started as a simple experiment turned into a complete automated trading system.

The bot can monitor the market, look for predefined opportunities, execute trades, manage open positions and follow the rules I programmed into it — all without me sitting in front of a screen 24/7.

And after putting so much time into building and refining it, I decided to do something different.

I’m giving away the FULL BOT CONFIGURATION for FREE.

No paid course.

No expensive subscription.

No “DM me for the secret.”

Just the actual configuration I built.

⏰ 24 HOURS ONLY.

Want it?

1️⃣ Comment “SEND”
2️⃣ Like this post
3️⃣ Follow me
I’ll send the complete setup directly to your DMs.
You’ll be able to see how the system is structured, how the different components work together, and how I approached building an automated trading workflow from the ground up.

Obviously, this isn’t a magic money machine and there are no guaranteed returns. Test everything yourself and understand the risks before using real money.

I spent countless hours building this.

Now I’m giving the setup away.

Comment “SEND” and I’ll send it to you.

[Aarav Sharma @riskwithaarav]

I built a trading bot because I got tired of watching the market all day.

The idea was simple:

What if the repetitive parts of trading could be handled automatically?

So I started building.

I worked on the strategy, execution, position management, risk controls, automation and the infrastructure needed to keep everything running without constant manual input.

What started as a simple experiment turned into a complete automated trading system.

The bot can monitor the market, look for predefined opportunities, execute trades, manage open positions and follow the rules I programmed into it — all without me sitting in front of a screen 24/7.

And after putting so much time into building and refining it, I decided to do something different.

I’m giving away the FULL BOT CONFIGURATION for FREE.

No paid course.

No expensive subscription.

No “DM me for the secret.”

Just the actual configuration I built.

⏰ 24 HOURS ONLY.

Want it?

1️⃣ Comment “SEND”
2️⃣ Like this post
3️⃣ Follow me
I’ll send the complete setup directly to your DMs.
You’ll be able to see how the system is structured, how the different components work together, and how I approached building an automated trading workflow from the ground up.

Obviously, this isn’t a magic money machine and there are no guaranteed returns. Test everything yourself and understand the risks before using real money.

I spent countless hours building this.

Now I’m giving the setup away.

Comment “SEND” and I’ll send it to you.

[Veles @velesxbt]

https://t.co/YoNbtFby2V

[Aarav Sharma @riskwithaarav]

In the classic optimal stopping problem, the mathematically best
strategy still fails 63.2% of the time.

Every decision is irreversible.

Choose too early and you confuse “good” with “best.”

Wait too long and the best opportunity is already gone.

The solution:

Observe the first 36.8%.
Choose none.
Then accept the first option better than everything before it.

The first 37% buy information.

The next option that clears the threshold gets the capital.

I turned this logic into a trading strategy.

The results surprised me.

Night one: +$4,429.42
Starting bankroll: $100.
Running total today: $180,000.

I’m giving away the full bot configuration for free.

24 hours only.

To get it:

1️⃣ Comment “SEND”
2️⃣ Like this post
3️⃣ Follow @riskwithaarav

I’ll send the complete setup in your DMs.

[Aarav Sharma @riskwithaarav]

In the classic optimal stopping problem, the mathematically best
strategy still fails 63.2% of the time.

Every decision is irreversible.

Choose too early and you confuse “good” with “best.”

Wait too long and the best opportunity is already gone.

The solution:

Observe the first 36.8%.
Choose none.
Then accept the first option better than everything before it.

The first 37% buy information.

The next option that clears the threshold gets the capital.

I turned this logic into a trading strategy.

The results surprised me.

Night one: +$4,429.42
Starting bankroll: $100.
Running total today: $180,000.

I’m giving away the full bot configuration for free.

24 hours only.

To get it:

1️⃣ Comment “SEND”
2️⃣ Like this post
3️⃣ Follow @riskwithaarav

I’ll send the complete setup in your DMs.

[Veles @velesxbt]

https://t.co/YoNbtFby2V

[Aarav Sharma @riskwithaarav]

A 19-year-old Japanese student reportedly built a trading bot with Claude Code in just 2 days.

First night: $6,732 profit.
Starting capital: $68.
Reported total profit: $750,000.
The crazy part?
The bot scans 50+ markets simultaneously, processes live market data every second, detects short-lived price discrepancies, and reacts faster than humans can.

I’ve been studying how systems like this are built and put together a simple breakdown.

Giving it FREE for 24 hours.

To get it:

Comment “BOT”

Like & repost

Follow me @riskwithaarav

I can send you the guide
You only need an AI coding tool + a device to start experimenting.
What the system is designed to do:

→ Monitor multiple markets simultaneously
→ Process real-time data
→ Detect temporary pricing inefficiencies
→ Compare signals across different sources
→ Identify moments of market convergence
→ Execute automatically when predefined conditions are met
→ Skip trades when liquidity is weak or signals conflict
→ Use predefined risk limits

The interesting part isn't predicting the market.

It's finding tiny inefficiencies that can disappear extremely quickly.
And as more traders use automation, these opportunities can become harder to find.
Want the breakdown?
Comment “BOT”, follow me, and I’ll send you the guide.

The reported results above belong to another trader and are not my own results. They are not a guarantee of future performance.

[Aarav Sharma @riskwithaarav]

A 19-year-old Japanese student reportedly built a trading bot with Claude Code in just 2 days.

First night: $6,732 profit.
Starting capital: $68.
Reported total profit: $750,000.
The crazy part?
The bot scans 50+ markets simultaneously, processes live market data every second, detects short-lived price discrepancies, and reacts faster than humans can.

I’ve been studying how systems like this are built and put together a simple breakdown.

Giving it FREE for 24 hours.

To get it:

Comment “BOT”

Like & repost

Follow me @riskwithaarav

I can send you the guide
You only need an AI coding tool + a device to start experimenting.
What the system is designed to do:

→ Monitor multiple markets simultaneously
→ Process real-time data
→ Detect temporary pricing inefficiencies
→ Compare signals across different sources
→ Identify moments of market convergence
→ Execute automatically when predefined conditions are met
→ Skip trades when liquidity is weak or signals conflict
→ Use predefined risk limits

The interesting part isn't predicting the market.

It's finding tiny inefficiencies that can disappear extremely quickly.
And as more traders use automation, these opportunities can become harder to find.
Want the breakdown?
Comment “BOT”, follow me, and I’ll send you the guide.

The reported results above belong to another trader and are not my own results. They are not a guarantee of future performance.

[Leo @0xLeohart]

https://t.co/Uz4xm5Xvvz

[Aarav Sharma @riskwithaarav]

$1.2 MILLION IN 4 MONTHS: THIS BOT DOESN'T TRY TO GUESS THE MARKET

The bot was built using Claude and operates on short-term market microstructure.

Its strategy has 3 pieces:

→ looks for pricing inefficiencies
→ tries to capture both sides of an opportunity below the eventual payout
→ maintains a directional position when it detects that one side is undervalued
The idea is pretty simple:
if you can buy the pair for less than what it eventually pays out, there's a difference that the bot tries to capture.

But doing it in practice is much more complicated.

You have to compete for liquidity, control the inventory, execute both sides, and react before the opportunity disappears.

The account is called Bonereaper and, according to the shared data, it would have accumulated more than $1.2 MILLION in profits over four months.

Some of its trades are especially eye-catching:

$280 → $9,585
$534 → $10,996
$581 → $6,191

It's not about nailing one spectacular trade.

It's about finding a small edge, automating it, and repeating it thousands of times.
AI TRADING DOESN'T ALWAYS SEEK TO PREDICT THE MARKET.
SOMETIMES IT SEEKS TO FIND WHERE THE MARKET IS MISPRICED.

Exact build guide — FREE for 24 hours.

To get it:

Comment this post

Like + RT

Follow @riskwithaarav

[Aarav Sharma @riskwithaarav]

$1.2 MILLION IN 4 MONTHS: THIS BOT DOESN'T TRY TO GUESS THE MARKET

The bot was built using Claude and operates on short-term market microstructure.

Its strategy has 3 pieces:

→ looks for pricing inefficiencies
→ tries to capture both sides of an opportunity below the eventual payout
→ maintains a directional position when it detects that one side is undervalued
The idea is pretty simple:
if you can buy the pair for less than what it eventually pays out, there's a difference that the bot tries to capture.

But doing it in practice is much more complicated.

You have to compete for liquidity, control the inventory, execute both sides, and react before the opportunity disappears.

The account is called Bonereaper and, according to the shared data, it would have accumulated more than $1.2 MILLION in profits over four months.

Some of its trades are especially eye-catching:

$280 → $9,585
$534 → $10,996
$581 → $6,191

It's not about nailing one spectacular trade.

It's about finding a small edge, automating it, and repeating it thousands of times.
AI TRADING DOESN'T ALWAYS SEEK TO PREDICT THE MARKET.
SOMETIMES IT SEEKS TO FIND WHERE THE MARKET IS MISPRICED.

Exact build guide — FREE for 24 hours.

To get it:

Comment this post

Like + RT

Follow @riskwithaarav

[Leo @0xLeohart]

https://t.co/Uz4xm5Xvvz

[Aarav Sharma @riskwithaarav]

I made $32,400 in 14 days
copy-trading a Chinese student
who turned $100 into $353 284 in 48 hours.

I’m sharing the exact bot.

Only 2 days old. Almost zero viewers.

I reverse-engineered his terminal
and built the same system.

→ Catches the 100ms lag between spot prices and the CLOB
→ Executes before the market catches up
→ 0.3–0.8% per trade
→ 1,000+ orders per second
→ Full risk controls built in

Exact build guide — free for 24 hours.

To get it:
1. Comment “Bot”
2. Like + RT
3. Follow @riskwithaarav

(Only then I can DM you)

[Aarav Sharma @riskwithaarav]

I made $32,400 in 14 days
copy-trading a Chinese student
who turned $100 into $353 284 in 48 hours.

I’m sharing the exact bot.

Only 2 days old. Almost zero viewers.

I reverse-engineered his terminal
and built the same system.

→ Catches the 100ms lag between spot prices and the CLOB
→ Executes before the market catches up
→ 0.3–0.8% per trade
→ 1,000+ orders per second
→ Full risk controls built in

Exact build guide — free for 24 hours.

To get it:
1. Comment “Bot”
2. Like + RT
3. Follow @riskwithaarav

(Only then I can DM you)