Weekly Trading Recaps: XLMUSD, NZDUSD, BTCUSD, SUGAR Jan 09 2021Hello everyone:
Back here with another weekly trade recap video. This week I did enter 2 more positions, and still holding 2 trades from last week. Let's take a look:
XLMUSD (Stellar) - Once price impulsively breaks above the HTF flag structure, I looked for LTF continuation correction to get in.
I was fine with a bigger SL due to the nature of crypto, and fine holding through it for a long term approach.
NZDUSD - Entered with a stop entry order, and then price eventually tagged me out for a full loss before resuming the downtrend as I forecasted.
Looking back at the trade, I was fine with the entry, and saw a completion of a LTF correction.
Even though price reversed a bit and tagged me out, it still completes the LTF correction and eventually still moves to the downside.
Sugar - Still in this one, as I see price hits the previous swing high tops, and then formed this LTF Head and Shoulder, I knew there is a probability that the price may not continue upwards.
I am fine with a SL still at BE, as my bias on the HTF still could work out, and did not want to choke the price.
BTCUSD - Running deep into profit. Will let the trade run and adjust SL accordingly.
Looking to continue to hold as long as I don't see any trend changes or clear LTF bearish price action and reversals.
Any questions, comments or feedback please let me know :)
Thank you
Jojo
Management
Similar to Dec 11th 2017 week?If you look in history back at the candle week starting December 11th 2017. You’ll see a big engulfing candle like the one we just had. Then a retracement wick down to 0.618 Fibonacci. I have sold some XRP at 0.45. If it goes down to 0.31 I’ll be buying back in. I must pace myself. My motto is, ‘always buy low & sell high, no matter what’ God bless. Trade safe. It’s a percentage game. Increment safe wins.
A few words about time management How do you planing your day?
If you look like Jack you should think about time management!
Benefits of Time Management
The ability to manage your time effectively is important. Good time management leads to improved efficiency and productivity, less stress, and more success in life. Here are some benefits of managing time effectively:
1. Stress relief
Making and following a task schedule reduces anxiety. As you check off items on your “to-do” list, you can see that you are making tangible progress. This helps you avoid feeling stressed out with worry about whether you’re getting things done.
2. More time
Good time management gives you extra time to spend in your daily life. People who can time-manage effectively enjoy having more time to spend on hobbies or other personal pursuits.
3. More opportunities
Managing time well leads to more opportunities and less time wasted on trivial activities. Good time management skills are key qualities that employers look for. The ability to prioritize and schedule work is extremely desirable for any organization.
4. Ability to realize goals
Individuals who practice good time management are able to better achieve goals and objectives, and do so in a shorter length of time.
Thanks for your support!
Take care of yourself!))
EURNZD Trade Recap, Analysis, Management
Hi everyone:
In this quick educational video, I will go over my 2 trades in EURNZD short. What was my analysis, management and thoughts on this bearish run.
I will always start my analysis from the HTF, looking at what the price action is telling me will give me a better edge to enter higher probability setups. I want the HTF to be clear on the bias that I have on the direction.
Then, using multi-time frame analysis, looking at what the LTF is telling you. Is it showing you the same price action like the HTF bias ?
Wait for the market to give you the confirmation, i.e. continuation corrections, reversal price action structure, LTF impulses...etc that will give you the confidence to enter a trade.
Manage the trade accordingly, move the SL to BE in profits depending on the strategies and style.
Don't get emotional about the result of the trade, rather if you follow your plan, and you made the decision based on what the market and price action is telling you .
Then, repeat consistently for every month, year. :)
Thank you
Looking For Apple EntryWe're looking to enter Apple (APPL) somewhere between $90 - $95 price range.
May take several partial orders to cost average in case of continued selling which is likely.
Still see this as a great entry level range.
As far as Techincals...
MACD & RSI look solid in the red & oversold areas which can point to a potential turn around.
The OBV (On Balance Volume) is nearing oversold share volume also indicating a near bottom.
We'll be looking towards the 100 EMA to cross the 200 EMA to solidify confluences.
It is our opinion this market has some more downside to go... WE"RE SHOPPING FOR DEALS!!
*As always, this is our opinion and does not constitute trading advice. DO YOUR DUE DILIGENCE & KNOW YOUR RISK TOLERANCE!
GOLD Short Trade Analysis, Review, Management and Weeks AheadHello traders:
In this educational video, I will go over my recent sell position on GOLD in full detail from start to finish.
What is my multi-time frame analysis behind the trade, and what is my management on the entry, SL/TP for this short sell position.
I will also go over what my outlook is on GOLD for the weeks ahead.
What I think could be the possibilities on this, and how to be prepared as a trader to continue capitalize on the current market conditions.
ITs important to have the right mindset in these situations, and take away emotion, greed and fear.
As always, feel free to ask me questions and comments. : )
Thank you
Daily Wisdom 32 - What a loser.It's not that you don't know how to profit. You simply don't know how to lose.
Liquidation Levels Trading FuturesI've seen lots of people getting liquidated on there longs on this BTC dump. This is why I think people never take into consideration risk management or don't know how it actually works. Maybe this can help a lot of people and help them clarify things. YES, the getting rich quick by leveraging is a probability, but if you ask me, I would consider it luck in the 25x to 100x than in lower leverage positions.
I think the getting rich quick scheme in crypto or FX is never talked enough and should always be addressed with proper risk management.
This analysis is considering you long your whole portfolio with leverage (which most people do).
If you want to long with high leverage, use 1% or 2% of your portfolio, try it out in Isolated mode first and see what it is all about. Your losses will teach you how to be a better trader, but never ever lose your ammo in your first try.
I'll do a follow up of this chart with potential gains by leveraging.
Why chasing % should be your focus and not pips!Here we look at 3 traders, all claiming to have a winning trade with 100 pips - however, with very different % gains on their accounts.
The main part of trading is profitability, you can not pay your bills with pips.
This explains what you need to focus on and be aware of!
Hope it helps,
Regards
Darren
XRP where is it heading? I think it is gonna drop another time, if not, then why is it not showing the proper signals for a upward breakout. There’s no power before it’s moves. So next time it drops I’m gonna buy. I buy and sell with in the channel but never my full position. Always less than 25% of my full position in the pair. Because I don’t want to be wrong and lose. But I can risk 25% for a bigger gain but a small loss if I am wrong and it blows upwards. Management baby.
RISK TO REWARD 📚 An Educational Write-up on How to Find ThisIntroduction:
This illustration explains the minimum Risk-To-Reward ratio needed based on your average win-rate while using a fixed % risk amount.
"Risk-To-Reward ratio": The ratio of what you stand to lose compared to win.
"Fixed % Risk": A static % amount of your total account balance at risk per trade.
"Fixed Dollar Risk": A static $ amount at risk per trade. Regardless of account size fluctuations.
"Win-rate": The % out of all trades that are winners.
Steps:
1. Before being able to determine what Risk-To-Reward is acceptable to use, you will need to create a baseline measurement of your strategy's performance.
2. To create this baseline, you will need to backtest your strategy and obtain its current average win-rate.
3. This can be done using your pre-determined entry logic with a fixed stop-loss/take-profit offset amount.
(Adjusting your entry logic prior to finishing a round of backtesting may produce skewed results. Do not "cherry-pick" trades as that will lead to false results.)
4. Based on the resulting average win-rate you can then find the minimum Risk-To-Reward ratio you should be using.
5. Backtest again using the more optimal Risk-To-Reward ratio and repeat this step until the most optimal backtest results are obtained.
Here is the formula for determining your Average win-rate after you have tallied the wins/losses of your backtest:
#W = Number of winning trades
#L = Number of losing trades
(#W / (#W + #L)) * 100 = your average win rate %
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Introduction to Fixed Dollar Risk:
We have found it common for people to use the logic of fixed dollar risk amounts when calculating win-rates needed to break even, but then to use a fixed % risk in practice.
This simple-to-make mistake can lead to account erosion over time due to the way compounding works.
The fixed dollar approach uses relatively simple math for breaking even as shown below.
Example:
3 losing trades followed by 1 winning trade using 1:3 risk-to-reward achieves breakeven (ignoring trading fees and slippage)
This risk-to-reward ratio itself implies the win-rate needed (lose $100 three times, win $300 once, you break even).
The fixed dollar amount risk doesn't deal with compounding. As such, its logic cannot be used for fixed %.
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Using Fixed Percentage Risk:
Fixed % uses a more complicated and less apparent method for calculating how to break even. As shown in our illustration, if you take three losses in a row you won’t break even after your next win.
Fixed % is always dealing with the same % of your current balance. So as your balance decreases, the total dollar amount risked is less, and the total dollar amount gained with each win is reduced.
Thus, strings of losses require additional wins compared to the fixed dollar approach.
The fixed % method ensures against account erosion by showing the minimum win-rate needed to use each risk-to-reward ratio.
MATH NOTE: We used a simplified method for finding the minimum win-rate to make this useful and generally applicable. Our method is based on a given risk-to-reward ratio and assumes the max number of losses in a row to produce a minimum win-rate, it does not factor in all different possible loss strings and their probability.
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WHY USE FIXED % !?:
The question one will have at this point is, "Why to use fixed % if it is so F'ing complicated!?"
The answer to that is simple. Despite being more complicated, fixed % is actually objectively better by almost every other measure.
With fixed % you generally perform better than fixed dollar during strings of losses and wins. As with fixed %, you lose less as you go down (because you only ever lose 1% of your balance), and you gain more as you go up (because of your winnings compounding).
Not only that, but you also perform better even when losses and wins are more scattered, as you can see on the chart below.
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Conclusion:
Fixed % is more complicated than fixed dollar... to say the least.
However , it is none-the-less superior in most instances.
Use the logic above while using fixed % risk, since if you use fixed dollar logic but use fixed % in practice you will underperform your theoretical results.
If there are any major flaws in our logic/approach please let us know in the comments as of course, we are looking to provide as accurate instructional writeups as possible!
📝 Using Fixed Equity Percentage VS Dollar Amount?! 💣Today we are comparing fixed equity percentage vs. fixed dollar amount to show how fixed % has an edge.
The chart above should mostly be self-explanatory.
The only real note here is that while the difference can be slight in the short term, and while static dollar amount does have an advantage in some instances, over the long term the data suggests the % based method is the way to go.
Hope this helps some! :D
'Position Sizing' for beginners - XAUEURIn this example I'm gonna show you how important is the entry point.
With same levels for stop-loss and take profit, one position will give you the opportunity to earn 3 times more than the other.
It doesn't mather if the position is a loss or a win, I just want to visualy show you the importance of the entry.
BsvUsd - ARCing support. The arc drawn on the chart shows how bulls are losing momentum. I’ve seen this many times as many of you also have. In the beginning of the arc, BSV has moved up. Now at the top of the arc it seems to slow down, the angle of the trend keeps getting smaller(losing momentum), which could lead to a price drop. I like BSV, heavily invested long term. Let’s see if we can get more BSV at lower prices. BTW the 2 squiggly line are my probable options, options change and are always updated. Trade well everyone. ))
WTI Mid-Term Technical Analysis - Potential and Risk Here is a more in depth analysis of yesterday's published idea. WTI has appeared to have confirmed a new bottom with the EMI after closing repeatedly above bottom support (scripting thanks to @bonic) signaling a heavy buy signal on the weekly and monthly charts. We have to manage risk here. I have place a strong watch on the bottom uptrend support around 1.8 up to potentially 2.5 and so on. Stop loss should be used accordingly how low depending on how much you are willing to risk. Though that should be pretty clear if you stay up to date on analysis. immediate resistance but according to EMI appears likely to break through both 2.37-.39 and 2.55-6 resistance lines. If it fails to do so you may consider selling to play safe. Read the charts.
bounce off long term support
same bounce with a more current date range
Risk ManagementAs I promised, I publish the post about risk management.
There are different types of risk management, but I will share one of the best in my opinion.
When you trade futures you have no control over what is happening in the market, the only thing you can counteract is your stop orders and it depends on the volume of your position.
Nothing more depends on you. You can try to control the market with your thoughts, meditations, prayers, you can try anything, but it doesn't work and it's not surprising :)
What is under your control is stop loss. Don't overdo with your trades - it's when you trade too big contracts or when you trade too often.
Here too, there is the considerable cause that pushes you to trade too often: you look at small timeframes and afraid to miss a profitable trade.
Your problem is likely to be that you have a large number of open positions, so I will tell you how big your position should be.
One simple mathematical method will help you.
You have to determine the amount you are willing to risk.
Say your trading account is $100,000. And you need to decide what part of that amount you want to risk on one deal. Someone might say I'm a very risky guy, I'll risk 20%, the other - 15%, and the other only 2-5%.
The more percentage of your deposit you use in a deal, the better chance of zeroing out your deposit.
You have to determine your risk factor.
Usually, in an aggressive strategy, the risk is 10-12%.
You always need to understand what percentage of your money you are willing to risk. If you know exactly what your maximum possible loss and use the appropriate stops, then you can't lose more than you have specified. Of course, you need to take into account some possible slippage.
Let's assume that you set for yourself a maximum loss of $500 on a trade and don't risk more than 10% of your capital. Then the risk factor of my $100K trading account is $10K.
So you only risk $500 per trade and be able to make 20 failed trades straight.
After 3 unsuccessful trades, as a rule, I close the terminal and go out for a walk or drive a car, after an hour I return and make no more than 2 trades
Formula:
Your balance multiplied by risk percentage(e.g. 10%) and divided by your maximum possible loss (stop, e.g. $500) and as a result we get the number of contracts that you can trade.
100,000$ * 10% =10000$
10000$ / 500$ = 20 Number of traded contracts
You can see the formula on the chart
It's all about money management, once you earn more money you can open more positions, and when you get a loss the contract volume decreases too.
Fact of life, if you bet big you are guaranteed to lose big.
Money management must begin before you enter the trade. You should know how many trades you can trade and how much you can risk for each of them.
Never invest more than 20% of your capital if you are experienced, and 10% if you are new with trading.
Don't trade more than six markets at a time.
When you feel sure that you can't lose, it's time for the biggest risk of losing everything.
Fear allows you to be careful.
You must risk no more than 5% of your capital per trade, regardless of your experience.
Remember, the markets aren't sweet candy, they're brutal, and many people, without realizing it, lose their deposits.
The market is a puzzle without instructions.
I hope I a little bit helped to put your puzzle together.
Respect the market he is your teacher
With respect, EXCAVO.