Best Forex Managed Accounts

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29/5/2025
Made multiple significant system improvements.

Reaching 50%.

USDJPY sell Daily chart.

Current trades.



GBPCHF Daily chart sell.

EURCHF Daily chart sell.

Which system is better high probability or high risk to reward ratio?

What do you mean by high probability? Is it 40%, 60%, 90%? Well, you can be profitable even if you only win 20% of your trades. You just need to make sure that your trades are at least 1:9. That way, one winning trade would wipe the other 9 losses.

Let us do an example. Over the course of a month you risked 1% per trade stop loss. You made 100 trades and for every 5 losses you win 1 trade. By the end the month, you are up by 80% despite losing 80% of the trades. This is because you risked 1 to make 9.

Does this means high risk to reward ratio is better? No. Why not?

Because you can make the same case for high probability. You can have a system that has RR of 9:1 and your probability of winning 80%. It would have the same result as the above.

Please correct me if I am wrong. Below is a real life example.

From 'Insights into High Frequency Trading from the Virtu IPO' by WSJ,

In the June 4th, 2014 Bloomberg article, Virtu CEO Doug Cifu states that “51 to 52%”
of Virtu’s trades are profitable. Given the granularity of trading by a market maker, in
which one is trying to win of order one spread ($0.01) per share, there is an unmentioned
subtlety in this statistic, because at first glance, it implies that 48 to 49% of Virtu’s trades
are unprofitable. The key point, however, is that if 51 to 52% of trades are profitable (i.e.
earn one $0.01 bid-offer spread per share), the remaining 48-49% must be apportioned
between trades that are unprofitable and trades that scratch out (have net zero profitability,
or which are very slightly negative due to exchange fees and SEC fees). For purposes of
order-of-magnitude estimation, we can assume that among the 48-49% of non-profitable
trades, approximately half will scratch out exclusive of fees, and half will lose of order one
spread.

Assume a 51% win rate, a 24% lose rate, and 25% scratches. This implies an average
profit of

hPi = .51 × 0.01 − .24 × 0.01 = $0.0027/share

Virtu’s IPO filing states that trading income from Americas Equities is ∼$440K/day,
and this is ∼30% of their recent total daily trading income across all instruments. Given the
above profit estimate of $0.0027/share, this implies that Virtu trades ∼160 million shares
per day. Current US equity volume is ∼5 billion shares per day, which would put Virtu at
∼3% of the US stock market. Volumes were somewhat lower during the period described in
the IPO, and so on many days, Virtu would have been ∼5% of the total US equity market.
It also suggests (if other major participants, e.g. Jump Trading, Teza Technologies, Tower
Research Capital, etc. have similar per-share profitability), that current HFT US Equity
income is of order $10M per day and $2.5B per year before fees and technology costs.

AVG trading pips pr trade 45 pretty good you know what you are doing and on a big liveaccount not many here on FF that back their claims up like this...

Thanks magne999. Average winning trade would be 150 to 250 pips but 'breakeven' would in the future make the average winning per trade looks a lot lower than it is in practise but then, that is just how averages work and also the reason why moving averages is cannot predict the future of price 100% of the time.

Why is it that there are so many systems that failed but looked good at first?

Most systems that are made and that are popular among retail traders are short term. These short term strategies are too sensitive and too dependent on market condition. The instance that market trading range changed, the systems would fail. If you want to invest, invest in systems or 'way of trading' that are not too sensitive to the market condition. Systems that have SL and TP that are above average daily range(ADR) are the candidates. Because that means, these systems have edges that are not fragile. There would need to be extreme changes in how prices are formed; for the systems to fail, for the edges to dissappear.

Next week, should reach 100%.

Reached +100%.

GBPUSD sell daily chart. Been there for a while. Showing only the good entry of course

Usdchf sell daily

Chfjpy buy daily.

Approaching 200%.

Nzdusd daily sell

I guess I have trained myself not to do those things that I would have done otherwise.

https://www.dailyfx.com/forex/fundam...ders-make.html

Usdjpy sell daily

Cadjpy buy daily