Duke

Solana Project- Dev of Hype Radar
The Hype Radar monitors Telegram shilling activity in real time and identifies early coin discoveries, confirmation behavior

[Duke @Duke_AW]

🧠 AI Development Update

Current stats:

📊 612,000+ feature samples
📝 1,200+ trading decisions
📈 150+ completed paper trades
💰 Positive realized PnL

One of the most encouraging developments is that the AI is no longer just generating scores.

It's starting to adapt its behavior based on actual trade outcomes.

Recent paper trades show increasing use of:

✅ Trailing profit protection
✅ Profit floor protection
✅ Peak-based exit management

Rather than relying solely on fixed take-profit and stop-loss rules, the system continuously evaluates how different exit behaviors perform and feeds those results back into the learning process.

Every BUY, PASS, win, loss, and exit outcome becomes additional training data.

As a result, the model isn't simply collecting more samples.

It's continuously refining:
• Feature weights
• Pattern confidence
• Buy thresholds
• Exit decisions

The model sample count keeps increasing because every new signal, decision, and outcome expands the training dataset.

The goal has never been to build a bot that follows static rules.

The goal is to build a system that learns which signal combinations and trade management decisions consistently perform best under real market conditions.

[Duke @Duke_AW]

One additional note:

The "Model Samples" count keeps increasing because the AI is continuously learning from new signals, decisions, and outcomes in real time.

Every new signal it observes becomes additional training data, allowing the system to refine its understanding of which patterns work and which don't.

In other words, the AI is not static. It continues to learn and expand its knowledge base as more market data flows through the system.

[Duke @Duke_AW]

🚀 AI Development Update

Over the past few months, I've been building and testing a self-learning AI engine using both historical signal data and live paper-trading results.

The system was not started from zero.

Before making any paper-trading decisions, the AI was pre-trained using approximately 6 months of historical market data collected from:

• aggregated.json (signal history)
• coin-outcomes.json (final coin performance data)
This gave the AI access to tens of thousands of historical signal and outcome examples before it ever entered the live paper-trading phase.

Current dataset:

📊 600,000+ feature samples analyzed
📈 6 months of historical signal/outcome data
🎯 90+ completed paper trades
📝 900+ ML training records collected and growing daily

The current AI uses a self-learning scoring engine.
Every signal is broken down into features such as:
• Signal family
• Signal stage
• Group formations
• Market cap ranges
• DEX paid status
• Market conditions
• Smart wallet activity
• Structure patterns

The AI continuously tracks which features and feature combinations perform well and which ones fail.

Successful patterns receive higher weights over time, while underperforming patterns receive lower weights and penalties based on actual results.

In addition, every BUY, PASS, and final trade outcome is stored in a growing machine-learning dataset.

This means the system is already learning from both:
Historical data (6 months of archived signals and outcomes)
Live paper-trading experience

🧠 What's Next?

The current version uses a self-learning statistical engine.

The next milestone is training true Machine Learning models (XGBoost / LightGBM) using the growing dataset being generated right now.

The goal is to move from:

"We think these signals work."

to

"The model has statistically learned which signal combinations historically produce the highest probability of success."

We're not building a bot that follows fixed rules.

We're building a system that learns which rules actually work.

[Duke @Duke_AW]

🔥 STRUCTURE MEGA EDGE

Not every Expansion becomes a runner.

STRUCTURE MEGA EDGE is designed to identify the rare expansions where multiple high-quality factors align at the same time.

Requirements:

🚀 Structure Expansion
🧬 Strong Core Formation
🏆 Quality Core Detected
⚡ Edge Candidate
In other words:
Multiple quality groups appear early,
core groups begin clustering,
and the structure continues expanding instead of fading.
━━━━━━━━━━━━

What makes it special?

Most expansions stop after the initial move.
MEGA EDGE looks for expansions that continue attracting quality attention AFTER the structure is already formed.
Think:

Structure Expansion
➡️ Core Formation
➡️ Quality Core
➡️ Edge Candidate
➡️ Potential Runner

━━━━━━━━━━━━

Example:

🔥 Strong Core Formation 3/4
🏆 Quality Core Detected
⚡ Structure Edge Candidate
🚀 Structure Expansion

When all four conditions align, the probability of a sustained move increases significantly.

Not every MEGA EDGE becomes a moonshot.
But most large runners start with multiple quality groups reaching consensus before the market fully reacts.

$GOLEM

CA: 4t7WWuMmGbLzmUCHwjchtFW6DMNASLTJh3YRMBfppump

[Duke @Duke_AW]

🚀 STACK Signal Update

STACK no longer follows a fixed route or specific call sequence.

Instead, it detects when high-quality groups converge on the same mint using:

⚡ Edge Quality Score
⚡ Strong / Core Group Overlap
⚡ Fast Quality-Set Clustering

When multiple strong/core groups converge within a short time window, market attention often follows quickly. STACK is now focused on quality-group convergence rather than noisy call chains.

📌 Premium Member Note

STACK is designed to identify high-quality momentum formation, not necessarily the perfect entry.

In many cases, a pullback or dip occurs shortly after the signal appears as early buyers take profits.

Avoid chasing green candles. Be patient, wait for a favorable entry, and manage risk accordingly.

The signal identifies opportunity. The entry is still your job.

$RETARD, Retard Coin
CA: ACuZX4asxyqcRd6BTgGBKXJjViUP3kZQuDUQawBapump

[Duke @Duke_AW]

$MARS, To Da Mars
ca: 3J5Bac3uJ94fdsc5ER8TLzPxJffCYWVjnmzNeRG9pump

111K mc

[Duke @Duke_AW]

Why do ppl buy this? $Orange 15K mc
ca: 3MhmXovYu5rbkzS7jf9UxcLWVUUrZuVbU6NfpgitLqNG

My bot says many wallets bought and are holding this

https://t.co/9japCCI2Rm

[Duke @Duke_AW]

@CircuitLLM The page says LIVE, but I only see one token continuously. Is the system actually scanning and trading new tokens in real time?

[Duke @Duke_AW]

@fartbankdotfun Well received fartcoin.

[Duke @Duke_AW]

Example of X OWNER BOOST signal
solana:BwEyBmL9drBdo4XJno8iGRvjiZcGL9FvUnq6xVNhpump
ca: BwEyBmL9drBdo4XJno8iGRvjiZcGL9FvUnq6xVNhpump

Bot sent the signal at 119K MC

[Duke @Duke_AW]

🚀 New signal added to my dApp: X Owner Boost

Most wallets only track buys.
Most TG trackers only track mentions.
X Owner Boost combines:

🟢 Smart wallet buy
⚡ X post from the wallet owner
📣 TG propagation

The idea:
Position + Attention + Distribution
If a wallet owner buys and then pushes the same token on X (or vice versa) within a short time window, it becomes a live signal.

On-chain + social catalyst in one signal.

Still testing with selected wallets. 👀

[Duke @Duke_AW]

New signal - Smart Wallet Cluster - Seed

$DAVVI
ca: 934cw5bvmvjrwr6igjx77hrybjujcccsi6sv19p7xs92

The bot sent it at 14.8K MC.

[Duke @Duke_AW]

New Signal - Smart Wallet Cluster Confirmed

solana:CxTmDRumNyAJoGz7ZYAzTjaxSPMtGmZrjvamTpMpump
ca: CxTmDRumNyAJoGz7ZYAzTjaxSPMtGmZrjvamTpMpump

The signal was sent at 56.5K mc and then it reached 129K MC ATH.

[Duke @Duke_AW]

🚨 New Engine Added: On-Chain Smart Wallet Cluster

We’ve been tracking Telegram propagation for months.

Now we added a second layer:

🧠 on-chain smart wallet coordination

Instead of reacting to a single wallet buy, the engine detects:

• elite wallet overlap
• wallet clusters entering the same token
• propagation between smart wallets
• coordinated accumulation patterns
Example:
🟢 Wallet buy detected at $31K MC
⚡ TG propagation followed immediately after
📈 Momentum expansion started within minutes
What matters is NOT one wallet.

What matters is:

multiple high-performance wallets entering the same token
before mass propagation begins

Current stages:
🟢 SMART WALLET SEED
→ first elite wallet entry

🟡 SMART WALLET CONFIRMED
→ 2-wallet cluster detected

🔴 SMART WALLET CLUSTER
→ multiple elite wallets coordinated on the same coin

Early data is showing very strong performance on clustered entries compared to isolated wallet buys.
TG propagation + on-chain wallet propagation = next-gen signal engine.

#Solana #Crypto #Memecoins #OnChain #TradingBot #SmartMoney

Example
$Proof, Proof Launch Official
ca: oaBXM2rCnWFeQc9ufdTSSpASwSrMBPrSmg8xtiepooL

31K -> 146K for now

[Duke @Duke_AW]

$SC, Stable Cat,
ca: C58dayZn6J7KSV21CRh59jDCGbTESKHKYQCiNNWWBJbm

62K -> 190K mc

X3

[Duke @Duke_AW]

$SC, Stable Cat, 62k MC
ca: C58dayZn6J7KSV21CRh59jDCGbTESKHKYQCiNNWWBJbm

https://t.co/QoeU2eR5sp