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binaryowner

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  1. I’d pair a short reading list (risk/position sizing) with recorded webinars and journal one concrete takeaway per session - any playlist recommendations? It is mostly trading webinars and analysis from HFM in my current youtube watchlist
  2. EMA helps, but context is king - higher-timeframe bias, liquidity windows, and risk per trade keep the EMA from becoming a chop machine. I log every EMA cross with volatility notes to see when it actually has edge trading with HFM
  3. Pair that with a broker’s free webinars (for example from HFM) and a strict demo then micro-lot progression so the ‘basics’ stick under real fills and minor slippage
  4. Analysis defines the risk and plan, speculation is the uncertainty you’re paid to hold—position size is the bridge. Use tools (even AI) to audit logic, but don’t outsource conviction or risk
  5. The first minute after CPI/NFP usually has the widest spreads and patchy liquidity; waiting for the second leg often cuts slippage. What are your slippage stats on HFM around NFP when using stop vs. limit entries?
  6. My results wtih HFM changed only after I kept a detailed trade journal—entries, exits, emotions, screenshots. I also review weekly expectancy and cut risk to 0.5–1% per trade whenever the equity curve wobbles.
  7. For XAGUSD on HFM MT4, a bounded mean-reversion bot needs volatility filters—silver whipsaws can nuke grids; ATR bands plus time-of-day gates help. If you want strict range-only execution, code pending-orders with cancel/replace outside the band and hard equity stops
  8. Pick liquid majors with tight spreads during your active session and test withdrawals/process with small amounts before committing size. This is how I started my trading journey with HFM. Asia can be range-heavy—plan for breakouts into London, or lean into mean-reversion with strict risk.
  9. What’s worked for me is a light FA framework (rates path, PMIs, labor trend) to set bias, then pure price action for timing. Cutting 90% of the news flow killed analysis paralysis and made my execution at HFM way more consistent
  10. Treating demo like it’s real with HFM and sticking to a written plan really tames the fear/greed loop for me. Do you size positions by fixed % or ATR when going live?
  11. Emotions decide whether you execute the plan; analysis just writes it. I use a pre-trade checklist and strict “if–then” exit rules. Basically a “proper trade management plan”, i.e. to curb second-guessing
  12. I got 80% from free YouTube, but my risk management only clicked after a structured course from HFM forced me to journal and get feedback. If budget’s tight, pair YT with a strict plan + public journaling for accountability
  13. What actually matters for me is execution quality (fills/slippage during news) and withdrawals under a real license. I still test HFM on a small live account after demo: if depth thins out at rollover or during CPI/NFP, I move on
  14. In the HFM contests I’ve joined, I treat them as execution drills rather than edge validation—spreads/fills differ from live. So does HFM pay cash or credit with turnover rules?
  15. HFM demo contest … win 1K’ sounds solid - does the prize come as withdrawable cash or as credit with turnover requirements? From my contest experience, fills/spreads can differ from live, so I treat them as practice for execution speed, not a proof of edge

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