Building a self-learning crypto trading engine in public. 5-factor signals. Regime detection. 30-day paper proof. https://xitter.cf/t.co/wSTA3kHAjw
Fort Myers, FL
Joined March 2026
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Ne0Engine retweeted
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. 📩
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?
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?
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.
github.com/Ne0Engine
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?
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
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.
github.com/Ne0Engine if curious.
Ne0Engine retweeted
This is a Wyckoff accumulation schematic applied to Bitcoin, mapping price behavior into phases rather than predictions.
$BTC IS FORMING A RARE WYCKOFF STRUCTURE!
Phase B → Phase C transition is happening now.
This is the phase where weak hands get shaken,
and smart money quietly positions.
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?
Ne0Engine retweeted
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)
👉youtu.be/BDFFiV194VU
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?
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.