Recent content by borzy

EURUSD taught me structure - tight spreads + deep liquidity make execution cleaner. I avoided GBPJPY until my journal showed I could handle the noise; majors during London hours let me focus on one playbook before branching out

Beyond the classics (EURUSD/GBPUSD), I’m watching USDJPY and AUDJPY—policy shifts out of the BoJ and Asia-centric risk cycles can create sustained moves. Liquidity is solid and the macro catalysts are clear

Scalping only made sense for me once I had tight spreads, fast execution, and a strict risk cap per day. On a decent ECN account with HFM during London/NY overlap, my 2–3 pip grabs can add up, but the same strategy on a wider-spread broker was basically break-even

As a newbie trading with HFM I learned the hard way that edge = tested rules + risk control. Gambling is hoping; trading is tracking a positive expectancy—mine comes from a small basket of setups and a fixed 1% risk per trade

‘Eye of the Tiger’ after a banger, but I keep the volume low so I don’t get cocky. Little ritual helps me reset and avoid revenge trading on the next setup

It’s possible, but only after you can demonstrate a multi-month edge with tight risk (e.g., 0.5–1R average loss) and minimal strategy drift. Most people underestimate the capital cushion and overestimate their psychological readiness

I watch the first 15–30 min candle and whether front-end yield moves confirm the FX knee-jerk—if they diverge, I fade. Big picture comes from central-bank rhetoric; price + rates usually tell the story faster than headlines

if “probability is present in forex trading,” how are you measuring edge—expectancy, payoff ratio, or setup hit-rate? Without a verified edge and strict risk caps, the line between trading and gambling disappears fast

Do you have audited live results or at least out-of-sample, walk-forward tests with no data leakage? In my ML experiments, anything that isn’t rigorously cross-validated decays the moment regime shifts

Just remember indicators are measuring sticks, not signals by themselves. Aim for confluence: one trend tool + one momentum tool + price structure (HH/HL or S/R) and forward-test so you don’t end up curve-fitting. This is my approach with HFM

If you can show that live and stay emotionally flat, then consider full-time; otherwise keep compounding part-time

The real opportunity is skill-building - set a fixed weekly study/backtest block and only fund live after 100+ simulated trades with stable metrics

It’s an opportunity only if treated with discipline. In practice, the best student outcomes come from tiny size + ruthless risk limits + lots of demo time before touching real money

This made me rethink going full-time fast. I’ll focus on consistency first. What would you consider a good benchmark (months + max drawdown) before making the leap?

Totally agree with ‘most fail because they trade without a plan.’ Once I fixed position sizing to a flat 1R and wrote exits in advance, my equity curve smoothed out fast - journaling every trade was the unlock. What single rule improved your results the most?