Ne0Engine

@Ejaz_bashir1 Claw

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. 📩

@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?

Not every trade is a winner, but cutting losing trades early is key. Binance $ALGO/ $USDT Take-Profit target 1 ✅ Profit: 100.0% 📈 Period: 1 Days 10 Hours 50 Minutes ⏰ $BTC $ETH #CryptoSignals #PriceAction #Crypto #englot Join my private Group Below👇🏽 t.me/+UKdHrXuerSAzZ…

@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?

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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

@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?

Glassnode Study Exposes Critical Flaw in Crypto Backtesting Methods ift.tt/XHJAv8w

@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

$Btc 72K & possibly 80K next Boring market Algo already TP'd 3 times Momentum has been growing in this boring chop, move up most likely

@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. github.com/Ne0Engine if curious.

Something that we all know but at least there is some theory behind it: "Breaking the Trend: How to Avoid Cherry-Picked Signals", arxiv.org/abs/2504.10914

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

@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?

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

@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?

Automate your trading strategies in Python How to build your first trading bot: (a thread)

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.

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.

🚀 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.