Posts made by jstap

Arial Black - Write this in the font box.

As you know it shouldn't do this, add a shared like to look at (is a lot easier than looking at pictures), and I'll try and see the problem.

Time is a little different, you can see how to optimise in here: https://fxdreema.com/forum/topic/19545/create-time-stamp-for-optimisation/10

@bacharchoura1

This should do it, use this wherever you currently use the FIB block, the custom code can go anywhere just make sure it is connected to another block, or under a pass. you can then optimise each constant leaving the variable with the different levels each pass:
https://fxdreema.com/shared/fmwHC8Pid

To optimise set the lots as a constant:

Do you mean the % level used for each fib level?

highest or lowest price from market properties using time adjusted by + or - 1 pip

Yes mate

It should work, add a shared link to see what you have done.

It is not easy to trail by money, is easier to trail by pips

@ellemitless Not sure exactly what you want, but if you use the stoploss as the trail start, then trail won't start until price is as far away as the stop is

@Vishwa Start a fresh question for this, rather than on someone else's thread.

This will probably do it, under the condition is where you would do something like place a trade.
https://fxdreema.com/shared/gsxiiKgZc

No that you save and call every time you need to update, generally they will be remembered every time you restart the terminal. name a template the same as the EA and on backtest template will load.

@OntradingX You are welcome

use the name - modify variables with line name using object on chart

I don't think you can, if you have the .mq code for the indicator you could ask AI to add a buffer with the candle ID, without this reference there is not a lot you can do.

I asked ChatGPT to translate and asses. On a personal note, Gold is generally bullish, so maybe cut sells entirely, but seems to work, now set it on demo and painfully watch to check account results are same as backtest (probably will be as your stops are sensible).

Here’s the full translation of the trading report from Portuguese to English:

Trading Report Summary

• History Quality: 100%
• Bars: 5,569
• Ticks: 63,291,871
• Assets: 1

Account Performance

• Initial Deposit: 10,000.00
• Total Net Profit: 1,187.23
• Gross Profit: 3,956.13
• Gross Loss: -2,768.90

Drawdown Metrics
Balance Drawdown:

• Absolute: 0.00
• Maximum: 220.86 (1.97%)
• Relative: 1.99% (220.86)
  Equity Drawdown:
• Absolute: 21.24
• Maximum: 274.28 (2.44%)
• Relative: 2.44% (274.28)

Risk & Return Indicators

• Profit Factor: 1.43
• Recovery Factor: 4.33
• AHPR (Average Holding Period Return): 1.0008 (0.08%)
• GHPR (Geometric Holding Period Return): 1.0008 (0.08%)
• Expected Payoff: 8.24
• Sharpe Ratio: 2.53
• Linear Regression Correlation: 0.94
• Linear Regression Standard Error: 94.73
• Margin Level: 12,072,000.00%
• Z-Score: 1.13 (73.73%)
• OnTester Result: 0

Trade Statistics

• Total Trades: 144
• Total Orders: 288
  Trade Breakdown:
• Sell Positions (win rate): 56 (62.50%)
• Buy Positions (win rate): 88 (71.59%)
• Profitable Trades (% of total): 98 (68.06%)
• Losing Trades (% of total): 46 (31.94%)

Trade Outcomes

• Largest Profit per Trade: 85.22
• Largest Loss per Trade: -61.67
• Average Profit per Trade: 40.37
• Average Loss per Trade: -60.19

Strengths
• Net Profit: £1,187.23 on a £10,000 deposit is a solid 11.87% return.
• Profit Factor (1.43): Indicates the strategy earns £1.43 for every £1 lost—respectable, though not elite.
• Sharpe Ratio (2.53): Excellent. Suggests strong risk-adjusted returns.
• Drawdown Control:
• Max equity drawdown: 2.44%—very low, showing tight risk management.
• Max balance drawdown: 1.97%—also minimal.
• Trade Consistency:
• 68% win rate overall
• Buy trades win 71.59%, sell trades 62.5%—suggests directional bias is well-handled.
• Recovery Factor (4.33): Shows resilience after losses.

️ Weaknesses or Areas to Watch
• Average Loss (-60.19) vs. Average Win (40.37):
You're losing more per losing trade than you're gaining per winner. This could be a red flag unless the win rate compensates—which it mostly does here.
• Largest Loss (-61.67) vs. Largest Win (85.22):
Not extreme, but worth monitoring. If losses spike, it could erode the edge.
• Z-Score (1.13, 73.73% confidence):
Indicates some statistical edge, but not overwhelming. Could be improved with more trade data or tighter entry logic.

🧠 Strategic Takeaways

• This strategy is stable and scalable. The low drawdowns and high Sharpe ratio suggest it could handle larger capital without breaking.
• Risk-reward ratio needs tuning. If you can reduce average loss or increase average win—even slightly—you’ll compound gains faster.
• Directional bias is working. Long trades outperform shorts. You might consider optimizing short entries or even filtering them out if they’re dragging performance.

Want help visualizing the equity curve or comparing this to another strategy? I can chart it out or run a deeper analysis.

Streaks

• Max Consecutive Wins ($): 8 trades (320.08)
• Max Consecutive Losses ($): 3 trades (-180.16)
• Max Consecutive Profit (count): 320.08 (8)
• Max Consecutive Loss (count): -180.16 (3)
• Average Winning Streak: 3
• Average Losing Streak: 1

on trade tab - trade closed by SL - check last trade profit (<0 = SL, >0 =BE if offset used) - print text. This should put the comment on chart where the trade closes.