🤖 Automated Swing Trading Bot: The Discipline Experiment
Most traders chase price action.
My bot doesn’t get bored sitting out.
Here’s what it does:
Every hour, the bot scans price action, calculates RSI, analyzes moving averages, and checks trend strength (ADX). It’s always monitoring — but it only enters when the setup is right.
The System:
• Golden Cross (trend reversal confirmed)
• ADX > 23 (strong trend validated)
• RSI extremes (oversold bounce trigger)
All three must align. No exceptions.
The Results (Mar 18 – Apr 1): ✅ Monitored 100+ potential setups
✅ Rejected 5+ false rallies (correct calls)
✅ Preserved capital through the noise
✅ 1 real win: +3.36% on LINK
✅ Zero forced entries, zero revenge trades
Right Now (BTC ~$68,500):
Golden Cross active.
ADX at 33.8 → strong trend intact.
RSI cooling (neutral zone).
The bot is watching closely for the RSI dip that confirms entry.
The Real Edge:
Discipline isn’t passive — it’s active selectivity.
The bot works 24/7, but only commits capital when the odds are clearly in its favor.
Not flashy.
Just profitable.
What’s harder: seeing the trend… or waiting for your exact signal?
#Bitcoin #BTC #CryptoTrading #TradingBot
Google Just Dropped Gemma 4 this is most capable open model family from Google built for reasoning and agentic workflows.
TLDR:
- Available in 4 Sizes E2B , E4B for edge/on-device (phones, Raspberry Pi, Jetson Nano), 26B MoE and 31B Dense for single cloud GPU or consumer workstation
- Advanced multi-step reasoning, stronger math and instruction-following
- Native function-calling, JSON output, system instructions for agentic workflows
- Vision and video across all models (OCR, charts, variable resolution)
- Audio input on E2B and E4B for speech recognition
- High-quality offline code generation
- 140+ languages natively
- 128K context on edge models, up to 256K on larger ones
- Apache 2.0, full control, no restrictions
- 26B and 31B outperform much larger models on Arena
- Built on the same research stack as Gemini 3