Article / 01
Common trading mistakes, and what they cost
The mistakes that destroy accounts are rarely exotic. The first is over-sizing: taking a position so large that one normal adverse move forces a panicked exit. If a five percent dip would break your plan, the plan is wrong, not the market. Decide position sizes from what you can lose, not from what you hope to gain.
The second is revenge trading. After a loss, the urge to win it back immediately feels like determination, but it trades with your emotions holding the wheel. The market did not take your money personally, and it will not give it back out of pity. The professional response to a losing streak is to reduce size, not increase it.
The third is ignoring costs. A strategy that makes 0.8% a month on paper and pays 0.58% per transaction in fees is not a strategy, it is a donation schedule. Check the fee column before admiring the return column; our reports show both for exactly this reason. And the fourth, quietest mistake: never defining an exit. Knowing at what profit you will take money off the table, and at what loss you will stand aside, is what turns a position from a hope into a plan.
Article / 02
Manual trading versus automated trading
Manual trading means you find the opportunities, place the orders and manage the exits yourself. Its strength is judgement: a human can read context, doubt a suspicious chart and sit on their hands for a week. Its weakness is everything else: you sleep, you work, you get bored, and markets do not pause for any of it. Most manual retail traders are effectively part-time participants in a full-time market.
Automated trading inverts the trade-off. A strategy executes its rules around the clock without fatigue, hesitation or mood, which removes the two most expensive human failures: hesitation at the entry and hope at the exit. What it cannot do is invent judgement. It will follow its rules precisely in conditions where the rules stop working, which is why automation without monitoring is not a strategy either.
The sensible position for most people is a hybrid, and it is what this platform is built for: automation handles the watching and the execution, you set and review the boundaries, and a personal manager keeps a human eye on the whole arrangement. Treat the algorithm as a disciplined junior partner, not an oracle, and you will extract its real benefit, consistency, without borrowing its blind spot.
Article / 03
Trader psychology: the person behind the platform
Every trading outcome is filtered through a nervous system, and that system is wired exactly backwards for markets. Losses hurt roughly twice as much as equivalent gains please, so we hold losing positions too long to avoid booking the pain, and sell winners too early to lock in the pleasure. Knowing this does not switch it off; procedures do. Set exit levels while you are calm, and let the platform's alerts enforce them when you are not.
The second pattern is recency: after three green weeks, risk feels safer than it is; after three red ones, risk feels intolerable and people abandon sound strategies at the worst moment. A monthly review ritual beats a daily reaction habit, because monthly reviews see the trend that daily emotions hide. Write down what you did and why each month; the notebook becomes the mirror your memory refuses to be.
The last pattern is identity. When a position becomes a statement about being right, losing money stops being information and starts being an insult, and people then pay real money to protect an opinion. The cure is to measure yourself by process, did I follow my limits, did I review on schedule, rather than by any single result. On this platform that is easier than most: the audit history and the reports keep the record, so your ego cannot quietly edit it.