Ne0Engine

Building a self-learning crypto trading engine in public.
5-factor signals. Regime detection. 30-day paper proof.

[Ne0Engine @Ne0Engine]

@Ejaz_bashir1 Claw

[Ejaz Bashir @Ejaz_bashir1]

A simple Clawbot setup made me $6,700 in 3 days.

No coding.
No tech skills.

Just ChatGPT + Laptop + 2 hours daily.

This setup can generate up to $3,000/day if used right.

So I created a step-by-step guide anyone can follow.

Normally $349, But FREE for the next 24 hours.

Want exact guide?
1️⃣ Comment "Claw"
2️⃣ Like + Repost

Follow @Ejaz_bashir1 so, I'll DM you the guide. 📩

[Ne0Engine @Ne0Engine]

@Tim_Richard111 For backtest/research threads:
This is exactly why I'm doing
a live paper proof before real money.
Backtests smooth over slippage and
regime shifts. Day 4 of 30 right now.
Live conditions are the only real test.
What do you use for regime detection?

[Ne0Engine @Ne0Engine]

@TrendGo_ For building in public threads:
Interesting setup. I'm running
regime-adjusted exposure on the crypto side —
BTC macro scales satellite allocation.
Core stays constant regardless.
Day 4 of 30-day paper window.
How do you handle regime transitions?

[Ne0Engine @Ne0Engine]

Neutral regime. Engine watching, not forcing.
10 core positions holding.
0 satellite trades fired yet.
Paper proof window: 4/30.
Every session logged. Nothing hidden.
Building in public.
https://t.co/EYmCd3hZfJ

[Ne0Engine @Ne0Engine]

@BlockchainNewsM This is why I'm doing a 30-day live paper
proof before real money. Backtests lie —
slippage and regime shifts get smoothed over.

Day 3 of 30 right now. Live conditions
tell a different story.

What does Glassnode flag as the main
overfitting source?

[Ne0Engine @Ne0Engine]

@TeachingCrypto Choppy momentum is where regime detection
earns its keep. Running a 5-factor voting
system EMA, RSI, MACD, ADX, Volume.
Neutral regime right now, engine is watching
not firing. 3 of 5 have to agree before
anything moves. How are you filtering
entries in low ADX environments

[Ne0Engine @Ne0Engine]

@PtrPomorski Same problem. Solved it with a voting system —
EMA, RSI, MACD, ADX, Volume all vote.
Needs 3/5 to fire. Cuts a lot of noise.
Plan to weight by win rate after Day 20.
https://t.co/EYmCd3hZfJ if curious.

[Coinvo @Coinvo]

This is a Wyckoff accumulation schematic applied to Bitcoin, mapping price behavior into phases rather than predictions.

[Ne0Engine @Ne0Engine]

@milesdeutscher Nice. I'm running a 5-factor voting system —
EMA, RSI, MACD, ADX, Volume. Regime detection
scales exposure automatically. Day 3 of a
30-day paper window right now.
How do you handle signal quality when
volatility compresses?

[Miles Deutscher @milesdeutscher]

Over the last month, I've been backtesting $BTC trading strategies using ChatGPT - trying to find the ultimate strategy.

Finally, I found a strategy which is consistently printing gains, no matter the market trend.

Watch now (I share the code for free)
👉https://t.co/PqSTX7O67I

[Ne0Engine @Ne0Engine]

@quantscience_ Solid setup. Running something similar —
5-factor signal voting, regime detection
adjusts exposure automatically. Day 3 of
30-day paper proof before live money.
What's your biggest edge in choppy regimes?

[Ne0Engine @Ne0Engine]

CORE-SATELLITE:

CORE ($700): Top 10 coins, equal weight, 1% rebalance
SATELLITE ($300): $50 breakout trades, 6 max

Volatility guard: >5% pause
Exit: 40% profit 1 | 30% profit 2 | trail

Day 30: Live decision

RT if interested in tracking the journey.

[Ne0Engine @Ne0Engine]

Most crypto traders:
❋ Chase hype
❋ Revenge trade
❋ Ignore regime shifts
❋ Hold losers too long
❋ Exit winners too early

Neo Engine fixes this. 5 signals. Smart stops. Partial exits. Regime detection. Learning feedback loop.

Building in public. Full transparency.

[Ne0Engine @Ne0Engine]

🚀 Day 1: Neo Engine is live

Building adaptive crypto trading intelligence.
70/30 core-satellite strategy
5-factor signal voting
Dynamic stops. Partial exits.

Paper trading live. Tracking every trade.

Let's see if algorithms beat discretion.