Some trading wisdom, tools and information I picked up along the way that helped me be a better trader. Maybe it can help you too.
Its a bit lengthy and I tried to condense it as much as I can. So take everything at a high level as each subject is has a lot more depth but fundamentally if you distill it down its just taking simple things and applying your experience using them to add nuance and better deploy them. There are exceptions to everything that you will learn with experience or have already learned. If you know something extra or something to add to it to implement it better or more accurately. Then great! However, my intention of this post is just a high level overview. Trading can be far too nuanced to go into in this post and would take forever to type up every exception (not to mention the traders individual personality). If you take the general information as a starting point, hopefully you will learn the edge cases long the way and learn how to use the more effectively if you end up using them. I apologize in advice for any errors or typos. Introduction After reflecting on my fun (cough) trading journey that was more akin to rolling around on broken glass and wondering if brown glass will help me predict market direction better than green glass. Buying a $100 indicator at 2 am when I was acting a fool, looking at it and going at and going "This is a piece of lagging crap, I miss out on a large part of the fundamental move and never using it for even one trade". All while struggling with massive over trading and bad habits because I would get bored watching a single well placed trade on fold for the day. Also, I wanted to get rich quick. On top all of that I had a terminal Stage 4 case of FOMO on every time the price would move up and then down then back up. Just think about all those extra pips I could have trading both directions as it moves across the chart! I can just sell right when it goes down, then buy right before it goes up again. Its so easy right? Well, turns out it was not as easy as I thought and I lost a fair chunk of change and hit my head against the wall a lot until it clicked. Which is how I came up with a mixed bag of things that I now call "Trade the Trade" which helped support how I wanted to trade so I can still trade intra day price action like a rabid money without throwing away all my bananas. Why Make This Post? - Core Topic of Discussion I wish to share a concept I came up with that helped me become a reliable trader. Support the weakness of how I like to trade. Also, explaining what I do helps reinforce my understanding of the information I share as I have to put words to it and not just use internalized processes. I came up with a method that helped me get my head straight when trading intra day. I call it "Trade the Trade" as I am making mini trades inside of a trade setup I make from analysis on a higher timeframe that would take multiple days to unfold or longer. I will share information, principles, techniques I used and learned from others I talked to on the internet (mixed bag of folks from armatures to professionals, and random internet people) that helped me form a trading style that worked for me. Even people who are not good at trading can say something that might make it click in your head so I would absorbed all the information I could get.I will share the details of how I approach the methodology and the tools in my trading belt that I picked up by filtering through many tools, indicators strategies and witchcraft. Hopefully you read something that ends up helping you be a better trader. I learned a lot from people who make community posts so I wanted to give back now that I got my ducks in a row. General Trading Advice If your struggling finding your own trading style, fixing weakness's in it, getting started, being reliably profitable or have no framework to build yourself higher with, hopefully you can use the below advice to help provide some direction or clarity to moving forward to be a better trader.
KEEP IT SIMPLE. Do not throw a million things on your chart from the get go or over analyzing what the market is doing while trying to learn the basics. Tons of stuff on your chart can actually slow your learning by distracting your focus on all your bells and whistles and not the price action.
PRICE ACTION. Learn how to read price action. Not just the common formations, but larger groups of bars that form the market structure. Those formations carry more weight the higher the time frame they form on. If struggle to understand what is going on or what your looking at, move to a higher time frame.
INDICATORS. If you do use them you should try to understand how every indicator you use calculates its values. Many indicators are lagging indicators, understanding how it calculates the values can help you learn how to identify the market structure before the indicator would trigger a signal . This will help you understand why the signal is a lagged signal. If you understand that you can easily learn to look at the price action right before the signal and learn to watch for that price action on top of it almost trigging a signal so you can get in at a better position and assume less downside risk. I recommend using no more than 1-2 indicators for simplicity, but your free to use as many as you think you think you need or works for your strategy/trading style.
PSYCOLOGY. First, FOMO is real, don't feed the beast. When you trade you should always have an entry and exit. If you miss your entry do not chase it, wait for a new entry. At its core trading is gambling and your looking for an edge against the house (the other market participants). With that in mind, treat as such. Do not risk more than you can afford to lose. If you are afraid to lose it will negatively effect your trade decisions. Finally, be honest with your self and bad trading happens. No one is going to play trade cop and keep you in line, that's your job.
TRADE DECISION MARKING: Before you enter any trade you should have an entry and exit area. As you learn price action you will get better entries and better exits. Use a larger zone and stop loss at the start while learning. Then you can tighten it up as you gain experience. If you do not have a area you wish to exit, or you are entering because "the markets looking like its gonna go up". Do not enter the trade. Have a reason for everything you do, if you cannot logically explain why then you probably should not be doing it.
ROBOTS/ALGOS: Loved by some, hated by many who lost it all to one, and surrounded by scams on the internet. If you make your own, find a legit one that works and paid for it or lost it all on a crappy one, more power to ya. I do not use robots because I do not like having a robot in control of my money. There is too many edge cases for me to be ok with it.However, the best piece of advice about algos was that the guy had a algo/robot for each market condition (trending/ranging) and would make personalized versions of each for currency pairs as each one has its own personality and can make the same type of movement along side another currency pair but the price action can look way different or the move can be lagged or leading. So whenever he does his own analysis and he sees a trend, he turns the trend trading robot on. If the trend stops, and it starts to range he turns the range trading robot on. He uses robots to trade the market types that he is bad at trading. For example, I suck at trend trading because I just suck at sitting on my hands and letting my trade do its thing.
Trade the Trade - The Methodology
Base Principles These are the base principles I use behind "Trade the Trade". Its called that because you are technically trading inside your larger high time frame trade as it hopefully goes as you have analyzed with the trade setup. It allows you to scratch that intraday trading itch, while not being blind to the bigger market at play. It can help make sense of why the price respects, rejects or flat out ignores support/resistance/pivots.
Trade Setup: Find a trade setup using high level time frames (daily, 4hr, or 1hr time frames). The trade setup will be used as a base for starting to figure out a bias for the markets direction for that day.
Indicator Data: Check any indicators you use (I use Stochastic RSI and Relative Vigor Index) for any useful information on higher timeframes.
Support Resistance: See if any support/resistance/pivot points are in currently being tested/resisted by the price. Also check for any that are within reach so they might become in play through out the day throughout the day (which can influence your bias at least until the price reaches it if it was already moving that direction from previous days/weeks price action).
Currency Strength/Weakness: I use the TradeVision currency strength/weakness dashboard to see if the strength/weakness supports the narrative of my trade and as an early indicator when to keep a closer eye for signs of the price reversing.Without the tool, the same concept can be someone accomplished with fundamentals and checking for higher level trends and checking cross currency pairs for trends as well to indicate strength/weakness, ranging (and where it is in that range) or try to get some general bias from a higher level chart that may help you out. However, it wont help you intra day unless your monitoring the currency's index or a bunch of charts related to the currency.
Watch For Trading Opportunities: Personally I make a mental short list and alerts on TradingView of currency pairs that are close to key levels and so I get a notification if it reaches there so I can check it out. I am not against trading both directions, I just try to trade my bias before the market tries to commit to a direction. Then if I get out of that trade I will scalp against the trend of the day and hold trades longer that are with it.Then when you see a opportunity assume the directional bias you made up earlier (unless the market solidly confirms with price action the direction while waiting for an entry) by trying to look for additional confirmation via indicators, price action on support/resistances etc on the low level time frame or higher level ones like hourly/4hr as the day goes on when the price reaches key areas or makes new market structures to get a good spot to enter a trade in the direction of your bias.Then enter your trade and use the market structures to determine how much of a stop you need. Once your in the trade just monitor it and watch the price action/indicators/tools you use to see if its at risk of going against you. If you really believe the market wont reach your TP and looks like its going to turn against you, then close the trade. Don't just hold on to it for principle and let it draw down on principle or the hope it does not hit your stop loss.
Trade Duration Hold your trades as long or little as you want that fits your personality and trading style/trade analysis. Personally I do not hold trades past the end of the day (I do in some cases when a strong trend folds) and I do not hold trades over the weekends. My TP targets are always places I think it can reach within the day. Typically I try to be flat before I sleep and trade intra day price movements only. Just depends on the higher level outlook, I have to get in at really good prices for me to want to hold a trade and it has to be going strong. Then I will set a slightly aggressive stop on it before I leave. I do know several people that swing trade and hold trades for a long period of time. That is just not a trading style that works for me.
Enhance Your Success Rate Below is information I picked up over the years that helped me enhance my success rate with not only guessing intra day market bias (even if it has not broken into the trend for the day yet (aka pre London open when the end of Asia likes to act funny sometimes), but also with trading price action intra day. People always say "When you enter a trade have an entry and exits. I am of the belief that most people do not have problem with the entry, its the exit. They either hold too long, or don't hold long enough. With the below tools, drawings, or instruments, hopefully you can increase your individual probability of a successful trade. **P.S.*\* Your mileage will vary depending on your ability to correctly draw, implement and interpret the below items. They take time and practice to implement with a high degree of proficiency. If you have any questions about how to do that with anything listed, comment below and I will reply as I can. I don't want to answer the same question a million times in a pm. Tools and Methods Used This is just a high level overview of what I use. Each one of the actions I could go way more in-depth on but I would be here for a week typing something up of I did that. So take the information as a base level understanding of how I use the method or tool. There is always nuance and edge cases that you learn from experience.
I keep a general high level Macro outlook for currencies. I dont get too deep into Fundamentals and just keep an eye out for news. If I am already in a trade I will hold it if its far enough away from my entry. However, I wont enter right before/during news as it can invalidate your setup.
I started with the basics of learning the standard price action formations/patterns and candles. You can find tons of free info on that online, google is your friend. Then I stared at charts and said "why did the price do that or do this etc" then after a while I started to understand what's happening without having to think about it and I can see the market structure without having to look as closely as I did in the past.
After many many hours of staring at 5 min charts for 15 hours a day 5 days a week I learned how to look at 5 min charts and be like "Oh that's a hammer on the 15 min etc. If you keep track of time you can do the same for hourly candles as well and you will start to see market structure naturally. However I typically trade in a two chart panel window so I have a 15 min and 5 min chart up when trading intra day so I dont have to think too hard about it.
Draw support resistance lines on Daily/4hr timeframes. I prefer to use body of the candle instead of the wick for support/resistance.
You can find support/resistance liquidity levels through out the day as well and trade those if the price retraces back through levels its already been through that same day.
It would be a bit length to explain exactly the best place to draw them. If your unsure there is plenty of free resources on the internet. Just try to use your head and look for price levels where the price was "Supported" or it "Resisted" that price level then slap a line on it. Draw as few or as many lines as you feel helps you and your style. I tend to lean on the side of fewer. I typically do about 6 lines main support/resistances (3 of each).
Draw two Fibonacci Extensions. One on the daily timeframe, and then one on the 4hr time frame. Then you can trade the Fibonacci levels and use them for TP targets or entry zones if price action respects the level. Also you can use it along with support/resistance and pivots if they happen to line up or are very close.
I cannot really figure out how to put it into words how to draw a Fib if you dont know how. I will have to make a picture to demonstrate it. If your interested post below and I will draw one up and post a link. Probably the easiest way to understand. Just keep in mind the Fib you draw on the 4hr time frame will be inside the daily timeframe one.
The TradeVision2020 dashboard that I use just helps me keep a tab on the current market post plus any swing strength/momentum a currency might have on higher time frames. Helps me look for shifts in the market or confirmation that the bias it already has in momentum is continuing. I have found that often currencies when they get really/weak or strong might continue for several days or even longer like a full week or more. We recently had what felt like 1 week or so of flat out Yen weakness which was making some things wonky. All it does is allow me to look at the dashboard instead of a million other charts.
I use two that work well for my intra day style. The Stochastic RSI is just like a RSI but its faster. The second is the Relative Vigor Index which I use to detect swings in momentum and divergences in bullish/bearish momentum. I have used many others in the past, but as I have grown and got better as a trader I have found making my analysis simpler has improved my trading.I dont like the whole idea of have 43 different indicators on 32 different time frames light up a dashboard to be green for me to enter a trade. With how I do it now, I have a clear understanding of what I expect to happen and why. That way when it does happen I understand the move and dont get freaked out if the market moves funny after I am in the trade.
Conclusion I use the above tools/indicators/resources/philosophy's to trade intra day price action that sometimes ends up as noise in the grand scheme of the markets movement.use that method until the price action for the day proves the bias assumption wrong. Also you can couple that with things like Stoch RSI + Relative Vigor Index to find divergences which can increase the probability of your targeted guesses. Trade Example from Yesterday This is an example of a trade I took today and why I took it. I used the following core areas to make my trade decision.
Fundamental Bias: I already had a bullish fundamental outlook on EUUSD with expecting the markets to price in future similes due a higher an higher chance of Biden winning on paper as the election closed in and a "Blue wave" coming which would lead to a weaker dollar. Also, the Euro Zone is getting hammered with COVID pretty hard plus Brexit drama so I had a strong Euro bias.NOTE: As frame of reference, all the other pairs I trade I traded as if they were ranging and trade a range. Markets are messed up right now.
Currency Strength/Weakness: I use a tool that gives me a currency strength/weakness dashboard called TradeVision2020. Helps me track individual currency strength/weakness intra day. Took me about a month to get used to it, but helps me keep track of intra day strength/weakness that can add a bias to trade direction as the day unfolds. Like "Will this run have a 2nd or 3rd push higher" or "I should look to TP at the first sign of weakness in the push" type bias data. You still got to use your brain and figure out the best decision. It wont make choices for you, its only a guide.NOTE: I am not trying to adverse the tool (if providing the code is against sub rules let me know), its just a tool I use every day that helps me with directional bias calls. I am sharing the coupon code that was given to me when I found out about the tool in the TradingView forex chatroom and the guy gave me the code to use when I signed up. I dont want someone to read the name and want to try it out then overpay for no reason. The coupon will give you 40% off. Coupon Code: 3F7A0T5T
Higher Timeframe Analysis: Detected some early signs of Bearish Divergence on the 1hr chart using a on a higher time frame using a Stochastic RSI. Then I saw more confirmation on 5 min charts using Relative Vigor Index to help time my entry mid session.
Pivot Points: I treat pivot points like support/resistance and trade them as such using price action to give me some idea how its being treated by the market. Pretty straight forward.
It may seem like a lot of stuff to process on the fly while trying to figure out live price action but, for the fundamental bias for a pair should already baked in your mindset for any currency pair you trade. For the currency strength/weakness I stare at the dashboard 12-15 hours a day so I am always trying to keep a pulse on what's going or shifts so that's not really a factor when I want to enter as I would not look to enter if I felt the market was shifting against me. Then the higher timeframe analysis had already happened when I woke up, so it was a game of "Stare at the 5 min chart until the price does something interesting" Trade Example: Today , I went long EUUSD long bias when I first looked at the chart after waking up around 9-10pm Eastern. Fortunately, the first large drop had already happened so I had a easy baseline price movement to work with. I then used tool for currency strength/weakness monitoring, Pivot Points, and bearish divergence detected using Stochastic RSI and Relative Vigor Index. I first noticed Bearish Divergence on the 1hr time frame using the Stochastic RSI and got confirmation intra day on the 5 min time frame with the Relative Vigor Index. I ended up buying the second mini dip around midnight Eastern because it was already dancing along the pivot point that the price had been dancing along since the big drop below the pivot point and dipped below it and then shortly closed back above it. I put a stop loss below the first large dip. With a TP goal of the middle point pivot line Then I waited for confirmation or invalidation of my trade. I ended up getting confirmation with Bearish Divergence from the second large dip so I tightened up my stop to below that smaller drip and waited for the London open. Not only was it not a lower low, I could see the divergence with the Relative Vigor Index. It then ran into London and kept going with tons of momentum. Blew past my TP target so I let it run to see where the momentum stopped. Ended up TP'ing at the Pivot Point support/resistance above the middle pivot line. Random Note: The Asian session has its own unique price action characteristics that happen regularly enough that you can easily trade them when they happen with high degrees of success. It takes time to learn them all and confidently trade them as its happening. If you trade Asia you should learn to recognize them as they can fake you out if you do not understand what's going on. TL;DR At the end of the day there is no magic solution that just works. You have to find out what works for you and then what people say works for them. Test it out and see if it works for you or if you can adapt it to work for you. If it does not work or your just not interested then ignore it. At the end of the day, you have to use your brain to make correct trading decisions. Blindly following indicators may work sometimes in certain market conditions, but trading with information you don't understand can burn you just as easily as help you. Its like playing with fire. So, get out there and grind it out. It will either click or it wont. Not everyone has the mindset or is capable of changing to be a successful trader. Trading is gambling, you do all this work to get a edge on the house. Trading without the edge or an edge you understand how to use will only leave your broker happy in the end.
Real quick before I get into my next steps of my FX Journey, id like to say thank you to all the people who commented on my last post! All of the tips I got were really eye-opening and introduced me to different parts of FX trading that I didn't even know existed. So thank you so much, and I hope to get more interesting feedback from you guys in the future! Also Im going to probably change my writing frequency from daily to biweekly. I think writing about every little trade is not going to be as beneficial to me as writing about my overall progress at certain points throughout the week. I started this trading day out by learning up on order flow. A whole bunch of you guys suggested really interesting youtubers to watch, and I started with Mr. pip's series on order flow. After I finished up watching a few of his videos, I started to tweak my trading plan so that I could get in some chart time. I changed currency pair from EUUSD to the AUD/USD, the time frame from the 4 hour to the 1 hour, and my indicators from RSI, Stochastic, 2 SMAs and ADX to ATR, RSI, and Ichimoku Kinko Hyo. I also added a little fundamental analysis in my trading plan because I think that I am being far too reliant on my indicators. I planned to check the economic calendar and determine the general trend of the currency pairs that are strongly correlated to the AUD/USD before I began my chart analysis. In addition to all of my analysis, I tried to practice using the techniques I learned in Mr. Pip's videos and analyze the order flow of the chart. Even if my analysis of order flow is wrong, as long as I am getting practice I am learning. Eventhough I planned to use today to back-test indicators and find a solid new plan, I did not have enough time. I ended up getting on my demo account really late in the day, and started to force myself to enter a trade. Destructive habits like this could lead into some massive issues when I eventually get into live trading. To combat this harmful attitude specifically, I will restrict myself to trading on certain parts of the day (for example session overlaps, news releases, and earlier in the day). Despite this mistake I still continued with my trading strategy. I calculated all the currency correlations for AUS/USD using the past weeks economic data, and set my indicators in place. After checking the overall trend of the most strongly correlated pairs (Positive: EUUSD, GPB/USD, Negative: USD/CAD, USD/JPY) I started to analyze the order flow. All the correlated currencies, except for EUUSD, indicated that the AUD/USD would fall, while my order flow analysis indicated the opposite. Seeing as though I am extremely new to order flow, I dismissed this analysis, and ended up forcing a trade on the AUD/USD going short when my indicators seemed to line up correctly. I learned from last time that I should not alter or close my trade purely based on emotion, and to just wait till the market hits my stop loss or take profit. I included a trailing stop loss of 60 pips this time, but I have no evidence to base that number range on. The trade is currently open and I am down about 30 pips. Although I am not labeling this trade as a loser yet, I can definitely see a lot of holes in my trading strategy. The most obvious mistake in my eyes right now is my use of indicators. Currently all my trades are purely based on what my indicators say, and since I do not have any back-tested data to support the credibility of my indicators, it feels a lot like strategic gambling. Another issue is that I feel far too reliant on indicators alone. I think that if I can find ways to include various types of analysis efficiently and evenly in my trading plan I will become a much more skillful and well-rounded trader. In order to combat these two issues I will begin forming various types of trading strategies this weekend and back-test them all extensively. I also plan on researching more on price action, order flow, and Naked Forex. Once again any and all feedback is welcome. I am just beginning Forex, but it had been a huge passion of mine and I don't plan on stopping anytime soon.
Disclaimer: None of this is financial advice. I have no idea what I'm doing. Please do your own research or you will certainly lose money. I'm not a statistician, data scientist, well-seasoned trader, or anything else that would qualify me to make statements such as the below with any weight behind them. Take them for the incoherent ramblings that they are. TL;DR at the bottom for those not interested in the details. This is a bit of a novel, sorry about that. It was mostly for getting my own thoughts organized, but if even one person reads the whole thing I will feel incredibly accomplished.
For those of you not familiar, please see the various threads on this trading system here. I can't take credit for this system, all glory goes to ParallaxFX! I wanted to see how effective this system was at H1 for a couple of reasons: 1) My current broker is TD Ameritrade - their Forex minimum is a mini lot, and I don't feel comfortable enough yet with the risk to trade mini lots on the higher timeframes(i.e. wider pip swings) that ParallaxFX's system uses, so I wanted to see if I could scale it down. 2) I'm fairly impatient, so I don't like to wait days and days with my capital tied up just to see if a trade is going to win or lose. This does mean it requires more active attention since you are checking for setups once an hour instead of once a day or every 4-6 hours, but the upside is that you trade more often this way so you end up winning or losing faster and moving onto the next trade. Spread does eat more of the trade this way, but I'll cover this in my data below - it ends up not being a problem. I looked at data from 6/11 to 7/3 on all pairs with a reasonable spread(pairs listed at bottom above the TL;DR). So this represents about 3-4 weeks' worth of trading. I used mark(mid) price charts. Spreadsheet link is below for anyone that's interested.
I'm pretty much using ParallaxFX's system textbook, but since there are a few options in his writeups, I'll include all the discretionary points here:
I'm using the stop entry version - so I wait for the price to trade beyond the confirmation candle(in the direction of my trade) before entering. I don't have any data to support this decision, but I've always preferred this method over retracement-limit entries. Maybe I just like the feeling of a higher winrate even though there can be greater R:R using a limit entry. Variety is the spice of life.
I put my stop loss right at the opposite edge of the confirmation candle. NOT at the edge of the 2-candle pattern that makes up the system. I'll get into this more below - not enough trades are saved to justify the wider stops. (Wider stop means less $ per pip won, assuming you still only risk 1%).
All my profit/loss statistics are based on a 1% risk per trade. Because 1 is real easy to multiply.
There are definitely some questionable trades in here, but I tried to make it as mechanical as possible for evaluation purposes. They do fit the definitions of the system, which is why I included them. You could probably improve the winrate by being more discretionary about your trades by looking at support/resistance or other techniques.
I didn't use MBB much for either entering trades, or as support/resistance indicators. Again, trying to be pretty mechanical here just for data collection purposes. Plus, we all make bad trading decisions now and then, so let's call it even.
As stated in the title, this is for H1 only. These results may very well not play out for other time frames - who knows, it may not even work on H1 starting this Monday. Forex is an unpredictable place.
I collected data to show efficacy of taking profit at three different levels: -61.8%, -100% and -161.8% fib levels described in the system using the passive trade management method(set it and forget it). I'll have more below about moving up stops and taking off portions of a position.
And now for the fun. Results!
Total Trades: 241
TP at -61.8%: 177 out of 241: 73.44%
TP at -100%: 156 out of 241: 64.73%
TP at -161.8%: 121 out of 241: 50.20%
Adjusted Proft % (takes spread into account):
TP at -61.8%: 5.22%
TP at -100%: 23.55%
TP at -161.8%: 29.14%
As you can see, a higher target ended up with higher profit despite a much lower winrate. This is partially just how things work out with profit targets in general, but there's an additional point to consider in our case: the spread. Since we are trading on a lower timeframe, there is less overall price movement and thus the spread takes up a much larger percentage of the trade than it would if you were trading H4, Daily or Weekly charts. You can see exactly how much it accounts for each trade in my spreadsheet if you're interested. TDA does not have the best spreads, so you could probably improve these results with another broker. EDIT: I grabbed typical spreads from other brokers, and turns out while TDA is pretty competitive on majors, their minors/crosses are awful! IG beats them by 20-40% and Oanda beats them 30-60%! Using IG spreads for calculations increased profits considerably (another 5% on top) and Oanda spreads increased profits massively (another 15%!). Definitely going to be considering another broker than TDA for this strategy. Plus that'll allow me to trade micro-lots, so I can be more granular(and thus accurate) with my position sizing and compounding.
A Note on Spread
As you can see in the data, there were scenarios where the spread was 80% of the overall size of the trade(the size of the confirmation candle that you draw your fibonacci retracements over), which would obviously cut heavily into your profits. Removing any trades where the spread is more than 50% of the trade width improved profits slightly without removing many trades, but this is almost certainly just coincidence on a small sample size. Going below 40% and even down to 30% starts to cut out a lot of trades for the less-common pairs, but doesn't actually change overall profits at all(~1% either way). However, digging all the way down to 25% starts to really make some movement. Profit at the -161.8% TP level jumps up to 37.94% if you filter out anything with a spread that is more than 25% of the trade width! And this even keeps the sample size fairly large at 187 total trades. You can get your profits all the way up to 48.43% at the -161.8% TP level if you filter all the way down to only trades where spread is less than 15% of the trade width, however your sample size gets much smaller at that point(108 trades) so I'm not sure I would trust that as being accurate in the long term. Overall based on this data, I'm going to only take trades where the spread is less than 25% of the trade width. This may bias my trades more towards the majors, which would mean a lot more correlated trades as well(more on correlation below), but I think it is a reasonable precaution regardless.
Time of Day
Time of day had an interesting effect on trades. In a totally predictable fashion, a vast majority of setups occurred during the London and New York sessions: 5am-12pm Eastern. However, there was one outlier where there were many setups on the 11PM bar - and the winrate was about the same as the big hours in the London session. No idea why this hour in particular - anyone have any insight? That's smack in the middle of the Tokyo/Sydney overlap, not at the open or close of either. On many of the hour slices I have a feeling I'm just dealing with small number statistics here since I didn't have a lot of data when breaking it down by individual hours. But here it is anyway - for all TP levels, these three things showed up(all in Eastern time):
7pm-4am: Fewer setups, but winrate high.
5am-6am: Lots of setups, but but winrate low.
12pm-3pm Medium number of setups, but winrate low.
I don't have any reason to think these timeframes would maintain this behavior over the long term. They're almost certainly meaningless. EDIT: When you de-dup highly correlated trades, the number of trades in these timeframes really drops, so from this data there is no reason to think these timeframes would be any different than any others in terms of winrate. That being said, these time frames work out for me pretty well because I typically sleep 12am-7am Eastern time. So I automatically avoid the 5am-6am timeframe, and I'm awake for the majority of this system's setups.
Moving stops up to breakeven
This section goes against everything I know and have ever heard about trade management. Please someone find something wrong with my data. I'd love for someone to check my formulas, but I realize that's a pretty insane time commitment to ask of a bunch of strangers. Anyways. What I found was that for these trades moving stops up...basically at all...actually reduced the overall profitability. One of the data points I collected while charting was where the price retraced back to after hitting a certain milestone. i.e. once the price hit the -61.8% profit level, how far back did it retrace before hitting the -100% profit level(if at all)? And same goes for the -100% profit level - how far back did it retrace before hitting the -161.8% profit level(if at all)? Well, some complex excel formulas later and here's what the results appear to be. Emphasis on appears because I honestly don't believe it. I must have done something wrong here, but I've gone over it a hundred times and I can't find anything out of place.
Moving SL up to 0% when the price hits -61.8%, TP at -100%
Adjusted Proft % (takes spread into account): 5.36%
Taking half position off at -61.8%, moving SL up to 0%, TP remaining half at -100%
Adjusted Proft % (takes spread into account): -1.01% (yes, a net loss)
Now, you might think exactly what I did when looking at these numbers: oof, the spread killed us there right? Because even when you move your SL to 0%, you still end up paying the spread, so it's not truly "breakeven". And because we are trading on a lower timeframe, the spread can be pretty hefty right? Well even when I manually modified the data so that the spread wasn't subtracted(i.e. "Breakeven" was truly +/- 0), things don't look a whole lot better, and still way worse than the passive trade management method of leaving your stops in place and letting it run. And that isn't even a realistic scenario because to adjust out the spread you'd have to move your stoploss inside the candle edge by at least the spread amount, meaning it would almost certainly be triggered more often than in the data I collected(which was purely based on the fib levels and mark price). Regardless, here are the numbers for that scenario:
Moving SL up to 0% when the price hits -61.8%, TP at -100%
Winrate(breakeven doesn't count as a win): 46.4%
Adjusted Proft % (takes spread into account): 17.97%
Taking half position off at -61.8%, moving SL up to 0%, TP remaining half at -100%
Winrate(breakeven doesn't count as a win): 65.97%
Adjusted Proft % (takes spread into account): 11.60%
From a literal standpoint, what I see behind this behavior is that 44 of the 69 breakeven trades(65%!) ended up being profitable to -100% after retracing deeply(but not to the original SL level), which greatly helped offset the purely losing trades better than the partial profit taken at -61.8%. And 36 went all the way back to -161.8% after a deep retracement without hitting the original SL. Anyone have any insight into this? Is this a problem with just not enough data? It seems like enough trades that a pattern should emerge, but again I'm no expert. I also briefly looked at moving stops to other lower levels (78.6%, 61.8%, 50%, 38.2%, 23.6%), but that didn't improve things any. No hard data to share as I only took a quick look - and I still might have done something wrong overall. The data is there to infer other strategies if anyone would like to dig in deep(more explanation on the spreadsheet below). I didn't do other combinations because the formulas got pretty complicated and I had already answered all the questions I was looking to answer.
2-Candle vs Confirmation Candle Stops
Another interesting point is that the original system has the SL level(for stop entries) just at the outer edge of the 2-candle pattern that makes up the system. Out of pure laziness, I set up my stops just based on the confirmation candle. And as it turns out, that is much a much better way to go about it. Of the 60 purely losing trades, only 9 of them(15%) would go on to be winners with stops on the 2-candle formation. Certainly not enough to justify the extra loss and/or reduced profits you are exposing yourself to in every single other trade by setting a wider SL. Oddly, in every single scenario where the wider stop did save the trade, it ended up going all the way to the -161.8% profit level. Still, not nearly worth it.
As I've said many times now, I'm really not qualified to be doing an analysis like this. This section in particular. Looking at shared currency among the pairs traded, 74 of the trades are correlated. Quite a large group, but it makes sense considering the sort of moves we're looking for with this system. This means you are opening yourself up to more risk if you were to trade on every signal since you are technically trading with the same underlying sentiment on each different pair. For example, GBP/USD and AUD/USD moving together almost certainly means it's due to USD moving both pairs, rather than GBP and AUD both moving the same size and direction coincidentally at the same time. So if you were to trade both signals, you would very likely win or lose both trades - meaning you are actually risking double what you'd normally risk(unless you halve both positions which can be a good option, and is discussed in ParallaxFX's posts and in various other places that go over pair correlation. I won't go into detail about those strategies here). Interestingly though, 17 of those apparently correlated trades ended up with different wins/losses. Also, looking only at trades that were correlated, winrate is 83%/70%/55% (for the three TP levels). Does this give some indication that the same signal on multiple pairs means the signal is stronger? That there's some strong underlying sentiment driving it? Or is it just a matter of too small a sample size? The winrate isn't really much higher than the overall winrates, so that makes me doubt it is statistically significant. One more funny tidbit: EUCAD netted the lowest overall winrate: 30% to even the -61.8% TP level on 10 trades. Seems like that is just a coincidence and not enough data, but dang that's a sucky losing streak. EDIT: WOW I spent some time removing correlated trades manually and it changed the results quite a bit. Some thoughts on this below the results. These numbers also include the other "What I will trade" filters. I added a new worksheet to my data to show what I ended up picking.
Total Trades: 75
TP at -61.8%: 84.00%
TP at -100%: 73.33%
TP at -161.8%: 60.00%
Moving SL up to 0% when the price hits -61.8%, TP at -100%: 53.33%
Taking half position off at -61.8%, moving SL up to 0%, TP remaining half at -100%: 53.33% (yes, oddly the exact same winrate. but different trades/profits)
Adjusted Proft % (takes spread into account):
TP at -61.8%: 18.13%
TP at -100%: 26.20%
TP at -161.8%: 34.01%
Moving SL up to 0% when the price hits -61.8%, TP at -100%: 19.20%
Taking half position off at -61.8%, moving SL up to 0%, TP remaining half at -100%: 17.29%
To do this, I removed correlated trades - typically by choosing those whose spread had a lower % of the trade width since that's objective and something I can see ahead of time. Obviously I'd like to only keep the winning trades, but I won't know that during the trade. This did reduce the overall sample size down to a level that I wouldn't otherwise consider to be big enough, but since the results are generally consistent with the overall dataset, I'm not going to worry about it too much. I may also use more discretionary methods(support/resistance, quality of indecision/confirmation candles, news/sentiment for the pairs involved, etc) to filter out correlated trades in the future. But as I've said before I'm going for a pretty mechanical system. This brought the 3 TP levels and even the breakeven strategies much closer together in overall profit. It muted the profit from the high R:R strategies and boosted the profit from the low R:R strategies. This tells me pair correlation was skewing my data quite a bit, so I'm glad I dug in a little deeper. Fortunately my original conclusion to use the -161.8 TP level with static stops is still the winner by a good bit, so it doesn't end up changing my actions. There were a few times where MANY (6-8) correlated pairs all came up at the same time, so it'd be a crapshoot to an extent. And the data showed this - often then won/lost together, but sometimes they did not. As an arbitrary rule, the more correlations, the more trades I did end up taking(and thus risking). For example if there were 3-5 correlations, I might take the 2 "best" trades given my criteria above. 5+ setups and I might take the best 3 trades, even if the pairs are somewhat correlated. I have no true data to back this up, but to illustrate using one example: if AUD/JPY, AUD/USD, CAD/JPY, USD/CAD all set up at the same time (as they did, along with a few other pairs on 6/19/20 9:00 AM), can you really say that those are all the same underlying movement? There are correlations between the different correlations, and trying to filter for that seems rough. Although maybe this is a known thing, I'm still pretty green to Forex - someone please enlighten me if so! I might have to look into this more statistically, but it would be pretty complex to analyze quantitatively, so for now I'm going with my gut and just taking a few of the "best" trades out of the handful. Overall, I'm really glad I went further on this. The boosting of the B/E strategies makes me trust my calculations on those more since they aren't so far from the passive management like they were with the raw data, and that really had me wondering what I did wrong.
What I will trade
Putting all this together, I am going to attempt to trade the following(demo for a bit to make sure I have the hang of it, then for keeps):
"System Details" I described above.
TP at -161.8%
Static SL at opposite side of confirmation candle - I won't move stops up to breakeven.
Trade only 7am-11am and 4pm-11pm signals.
Nothing where spread is more than 25% of trade width.
Looking at the data for these rules, test results are:
Adjusted Proft % (takes spread into account): 47.43%
I'll be sure to let everyone know how it goes!
Other Technical Details
ATR is only slightly elevated in this date range from historical levels, so this should fairly closely represent reality even after the COVID volatility leaves the scalpers sad and alone.
The sample size is much too small for anything really meaningful when you slice by hour or pair. I wasn't particularly looking to test a specific pair here - just the system overall as if you were going to trade it on all pairs with a reasonable spread.
Here's the spreadsheet for anyone that'd like it. (EDIT: Updated some of the setups from the last few days that have fully played out now. I also noticed a few typos, but nothing major that would change the overall outcomes. Regardless, I am currently reviewing every trade to ensure they are accurate.UPDATE: Finally all done. Very few corrections, no change to results.) I have some explanatory notes below to help everyone else understand the spiraled labyrinth of a mind that put the spreadsheet together.
I'm on the East Coast in the US, so the timestamps are Eastern time.
Time stamp is from the confirmation candle, not the indecision candle. So 7am would mean the indecision candle was 6:00-6:59 and the confirmation candle is 7:00-7:59 and you'd put in your order at 8:00.
I found a couple AM/PM typos as I was reviewing the data, so let me know if a trade doesn't make sense and I'll correct it.
Insanely detailed spreadsheet notes
For you real nerds out there. Here's an explanation of what each column means:
Pair - duh
Date/Time - Eastern time, confirmation candle as stated above
Win to -61.8%? - whether the trade made it to the -61.8% TP level before it hit the original SL.
Win to -100%? - whether the trade made it to the -100% TP level before it hit the original SL.
Win to -161.8%? - whether the trade made it to the -161.8% TP level before it hit the original SL.
Retracement level between -61.8% and -100% - how deep the price retraced after hitting -61.8%, but before hitting -100%. Be careful to look for the negative signs, it's easy to mix them up. Using the fib% levels defined in ParallaxFX's original thread. A plain hyphen "-" means it did not retrace, but rather went straight through -61.8% to -100%. Positive 100 means it hit the original SL.
Retracement level between -100% and -161.8% - how deep the price retraced after hitting -100%, but before hitting -161.8%. Be careful to look for the negative signs, it's easy to mix them up. Using the fib% levels defined in ParallaxFX's original thread. A plain hyphen "-" means it did not retrace, but rather went straight through -100% to -161.8%. Positive 100 means it hit the original SL.
Trade Width(Pips) - the size of the confirmation candle, and thus the "width" of your trade on which to determine position size, draw fib levels, etc.
Loser saved by 2 candle stop? - for all losing trades, whether or not the 2-candle stop loss would have saved the trade and how far it ended up getting if so. "No" means it didn't save it, N/A means it wasn't a losing trade so it's not relevant.
Spread(ThinkorSwim) - these are typical spreads for these pairs on ToS.
Spread % of Width - How big is the spread compared to the trade width? Not used in any calculations, but interesting nonetheless.
True Risk(Trade Width + Spread) - I set my SL at the opposite side of the confirmation candle knowing that I'm actually exposing myself to slightly more risk because of the spread(stop order = market order when submitted, so you pay the spread). So this tells you how many pips you are actually risking despite the Trade Width. I prefer this over setting the stop inside from the edge of the candle because some pairs have a wide spread that would mess with the system overall. But also many, many of these trades retraced very nearly to the edge of the confirmation candle, before ending up nicely profitable. If you keep your risk per trade at 1%, you're talking a true risk of, at most, 1.25% (in worst-case scenarios with the spread being 25% of the trade width as I am going with above).
Win or Loss in %(1% risk) including spread TP -61.8% - not going to go into huge detail, see the spreadsheet for calculations if you want. But, in a nutshell, if the trade was a win to 61.8%, it returns a positive # based on 61.8% of the trade width, minus the spread. Otherwise, it returns the True Risk as a negative. Both normalized to the 1% risk you started with.
Win or Loss in %(1% risk) including spread TP -100% - same as the last, but 100% of Trade Width.
Win or Loss in %(1% risk) including spread TP -161.8% - same as the last, but 161.8% of Trade Width.
Win or Loss in %(1% risk) including spread TP -100%, and move SL to breakeven at 61.8% - uses the retracement level columns to calculate profit/loss the same as the last few columns, but assuming you moved SL to 0% fib level after price hit -61.8%. Then full TP at 100%.
Win or Loss in %(1% risk) including spread take off half of position at -61.8%, move SL to breakeven, TP 100% - uses the retracement level columns to calculate profit/loss the same as the last few columns, but assuming you took of half the position and moved SL to 0% fib level after price hit -61.8%. Then TP the remaining half at 100%.
Overall Growth(-161.8% TP, 1% Risk) - pretty straightforward. Assuming you risked 1% on each trade, what the overall growth level would be chronologically(spreadsheet is sorted by date).
Based on the reasonable rules I discovered in this backtest:
Date range: 6/11-7/3
Adjusted Proft % (takes spread into account): 47.43%
Demo Trading Results
Since this post, I started demo trading this system assuming a 5k capital base and risking ~1% per trade. I've added the details to my spreadsheet for anyone interested. The results are pretty similar to the backtest when you consider real-life conditions/timing are a bit different. I missed some trades due to life(work, out of the house, etc), so that brought my total # of trades and thus overall profit down, but the winrate is nearly identical. I also closed a few trades early due to various reasons(not liking the price action, seeing support/resistance emerge, etc). A quick note is that TD's paper trade system fills at the mid price for both stop and limit orders, so I had to subtract the spread from the raw trade values to get the true profit/loss amount for each trade. I'm heading out of town next week, then after that it'll be time to take this sucker live!
Date range: 7/9-7/30
Adjusted Proft % (takes spread into account): 20.73%
Starting Balance: $5,000
Ending Balance: $6,036.51
Live Trading Results
I started live-trading this system on 8/10, and almost immediately had a string of losses much longer than either my backtest or demo period. Murphy's law huh? Anyways, that has me spooked so I'm doing a longer backtest before I start risking more real money. It's going to take me a little while due to the volume of trades, but I'll likely make a new post once I feel comfortable with that and start live trading again.
I am a professional Day Trader working for a Prop Fund, Hope I can help people out and answer some questions
Howdy all, I work professionally for a proprietary trading fund, and have worked for quite a few in my time, hope I can offer some insights on trading etc you guys might have. Bonus for you guys Here are the columns in my trading journal and various explanations where appropriate: Trade Number – Simply is this the first trade of the year? The 10th?, The 50th? I count a trade that you opened and closed just one trade number. For example if you buy EUUSD today and sell it 50 pips later in the day and close out the trade, then that is just one trade for recording purposes. I do not create a second trade number to describe the exit. Both the entry and exit are under the same trade number. Ticket Number – This is ticket number / order ID number that your broker gives you for the trade on your platform. Day of the Week – This would be simply the day of the week the trade was initiated Financial Instrument / Currency Pair – Whatever Financial Instrument or currency pair you are trading. If you are trading EUUSD, put EUUSD. If you are trading the EuroFX futures contract, then put in Euro FX. If you are trading the emini S&P, then put in Emini S&P 500. If you are trading a stock, put in the ticker symbol. Etc. Buy/Sell or Long/Short – Did you buy or sell to open the new trade? If you bought something to open the trade, then write in either BUY or LONG. If you sold(shorted) something to open a trade, then write in SOLD, or SHORT. This is a personal preference. Some people like to put in their journals as BUY/SELL. Other people like to write in Long/Short. My preference is for writing in long/short, since that is the more professional way to say it. I like to use the lingo where possible. Order Type – Market or Limit – When you entered the trade was it a market order or limit order? Some people can enter a trade using a combination of market and limit orders. If you enter a trade for $1 million half of which was market order and the other half was limit order, then you can write in $500,000 Market, $500,000 Limit as a bullet points. Position Size / Units / Contracts / Shares – How big was the total trade you entered? If you bought 1 standard lot of a currency pair, then write in $100,000 or 1 standard lot. If you bought 5 gold futures contracts, then write in 5 contracts. If you bought 1,000 shares of stock, then write in 1,000 shares. Etc. Entry Price – The entry price you received entering your opening position. If you entered at multiple prices, then you can either write in all the different fills you got, or specify the average price received. Entry Date – Date that you entered the position. For example January 23, 2012. Or you can write in 1/23/12 . Entry Time – Time that you opened the position. If it is multiple positions, then you can specify each time for each various fill, or you can specify the time range. For example if you got $100,000 worth of EUUSD filled at 3:00 AM EST, and another $100,000 filled at 3:05 and another $100,000 filled at 3:25, then you can write all those in, or you can specify a range of 3:00 – 3:30 AM EST. Entry Spread Cost (in pips) – This is optional if you want to keep track of your spread cost in pips. If you executed a market order, how many pips did you pay in spread. Entry Spread Cost (in dollars) – This is optional if you want to keep track of your spread cost in dollars. If you executed a market order, how many dollars did you pay in spread. Stop Loss Size – How big is your stop loss size? If you are trading a currency pair, then you write in the pips. If you are trading the S&P futures contract, then write in the number of points. If you are trading a stock, then write in how many cents or dollars your stop is away from your entry price. % Risk – If you were to get stopped out of the trade, how much % loss of your equity is that? This is where you input your risk per trade expressed in % terms if you use such a position sizing method. If you risked 0.50% of your account on the trade, then put in 0.50% Risk in dollars – If you were to get stopped out of the trade, how much loss in dollars is that. For example if you have a $100,000 account and you risked 1% on a trade, then write in $1,000 dollars Potential Reward: Risk Ratio – This is a column that I only sometimes fill in. You write in what the potential reward risk ratio of the trade is. If you are trading using a 100 pip stop and you expect that the market can reasonably move 300 pips, then you can write in 3:1. Of course this is an interesting column because you can look at it after the trade is finished and see how close you were or how far removed from reality your initial projections were. Potential Win Rate – This is another column that I only sometimes fill in. You write in what you believe the potential win rate of this trade is. If you were to place this trade 10 times in a row, how many times do you think you would win? I write it in as percentage terms. If you believe the trade has a 50% chance to win, then write in 50%. Type of Inefficiency – This is where you write in what type of inefficiency you are looking to capture. I use the word inefficiency here. I believe it is important to think of trading setups as inefficiencies. If you think in terms of inefficiencies, then you will think in terms of the market being mispriced, then you will think about the reasons why the market is mispriced and why such market expectations for example are out of alignment with reality. In this category I could write in different types of trades such as fading the stops, different types of news trades, expecting stops to get tripped, betting on sentiment intensifying, betting on sentiment reversing, etc. I do not write in all the reasons why I took the trade in this column. I do that in another column. This column is just to broadly define what type of inefficiency you are looking to capture. Chart Time Frame – I do not use this since all my order flow based trades have nothing to do with what chart time frame I look at. However, if you are a chartist or price action trader, then you may want to include what chart time frame you found whatever pattern you were looking at. Exit Price – When you exit your trade, you enter the price you received here. Exit Date – The date you exited your trade. Exit Time – The time you exited your trade. Trade Duration – In hours, minutes, days or weeks. If the trade lasts less than an hour, I will usually write in the duration in minutes. Anything in between 1 and 48 hours, I write in the hours amount. Anything past that and I write it as days or weeks as appropriate, etc. Pips the trade went against you before turning into a winner – If you have a trade that suffered a draw down, but did not stop you out and eventually was a winner, then you write it how many pips the trade went against you before it turned into a profitable trade. The reason you have this column is to compare it to your stop loss size and see any patterns that emerge. If you notice that a lot of your winning trades suffer a big draw down and get near your stop loss points but turn out to be a profitable trade, then you can further refine your entry strategy to get in a better price. Slippage on the Exit – If you get stopped out for a loss, then you write in how many pips you suffered as slippage, if any. For example if you are long EUUSD at 1.2500 and have your stop loss at 1.2400 and the market drops and you get filled at 1.2398, then you would write in -2 pips slippage. In other words you lost 2 pips as slippage. This is important for a few different reasons. Firstly, you want to see if the places you put your stop at suffer from slippage. If they do, perhaps you can get better stop loss placement, or use it as useful information to find new inefficiencies. Secondly, you want to see how much slippage your broker is giving you. If you are trading the same system with different brokers, then you can record the slippage from each one and see which has the lowest slippage so you can choose them. Profit/Loss -You write in the profit and/or loss in pips, cents, points, etc as appropriate. If you bought EUUSD at 1.2500 and sell it at 1.2550, you made 50 pips, so write in +50 pips. If you bought a stock at $50 and you sell it at $60, then write in +$10. If you buy the S&P futures at 1,250 and sell them at 1,275, then write in +25 points. If you buy the GBP/USD at 1.5000 and you sell it at 1.4900, then write in -100 pips. Etc. I color code the box background to green for profit and red for loss. Profit/Loss In Dollars – You write the profit and/or loss in dollars (or euros, or jpy, etc whatever currency your account is denominated in). If you are long $100,000 of EUUSD at 1.2500 and sell it at 1.2600, then write in +$1,000. If you are short $100,000 GBP/USD at 1.5900 and it rises to 1.6000 and you cover, then write in -$1,000. I color code the box background to green for profit and red for loss. Profit/Loss as % of your account – Write in the profit and/or loss as % of your account. If a trade made you 2% of your account, then write in +2%. If a trade lost 0.50%, then write in -0.50%. I color code the box background to green for profit and red for loss. Reward:Risk Ratio or R multiple: If the trade is a profit, then write in how many times your risk did it pay off. If you risked 0.50% and you made 1.00%, then write in +2R or 2:1 or 2.0. If you risked 0.50% and a trade only makes 0.10%, then write in +0.20R or 0.2:1 or 0.2. If a trade went for a loss that is equal to or less than what you risked, then I do not write in anything. If the loss is greater than the amount you risked, then I do write it in this column. For example lets say you risk 0.50% on a stock, but overnight the market gaps and you lose 1.50% on a trade, then I would write it in as a -3R. What Type of trading loss if the trade lost money? – This is where I describe in very general terms a trade if it lost money. For example, if I lost money on a trade and the reason was because I was buying in a market that was making fresh lows, but after I bought the market kept on going lower, then I would write in: “trying to pick a bottom.” If I tried shorting into a rising uptrend and I take a loss, then I describe it as “trying to pick a top.” If I am buying in an uptrend and buy on a retracement, but the market makes a deeper retracement or trend change, then I write in “tried to buy a ret.” And so on and so forth. In very general terms I describe it. The various ways I use are: • Trying to pick a bottom • Trying to pick a top • Shorting a bottom • Buying a top • Shorting a ret and failed • Wrongly predicted news • Bought a ret and failed • Fade a resistance level • Buy a support level • Tried to buy a breakout higher • Tried to short a breakout lower I find this category very interesting and important because when performing trade journal analysis, you can notice trends when you have winners or losing trades. For example if I notice a string of losing trades and I notice that all of them occur in the same market, and all of them have as a reason: “tried to pick a bottom”, then I know I was dumb for trying to pick a bottom five times in a row. I was fighting the macro order flow and it was dumb. Or if I notice a string of losers and see that I tried to buy a breakout and it failed five times in a row, but notice that the market continued to go higher after I was stopped out, then I realize that I was correct in the move, but I just applied the wrong entry strategy. I should have bought a retracement, instead of trying to buy a fresh breakout. That Day’s Weaknesses (If any) – This is where I write in if there were any weaknesses or distractions on the day I placed the trade. For example if you are dead tired and place a trade, then write in that you were very tired. Or if you place a trade when there were five people coming and out of your trading office or room in your house, then write that in. If you placed the trade when the fire alarm was going off then write that in. Or if you place a trade without having done your daily habits, then write that in. Etc. Whatever you believe was a possible weakness that threw you off your game. That Day’s Strengths (If any) – Here you can write in what strengths you had during the day you placed your trade. If you had complete peace and quiet, write that in. If you completed all your daily habits, then write that in. Etc. Whatever you believe was a possible strength during the day. How many Open Positions Total (including the one you just placed) – How many open trades do you have after placing this one? If you have zero open trades and you just placed one, then the total number of open positions would be one, so write in “1.” If you have on three open trades, and you are placing a new current one, then the total number of open positions would be four, so write in “4.” The reason you have this column in your trading journal is so that you can notice trends in winning and losing streaks. Do a lot of your losing streaks happen when you have on a lot of open positions at the same time? Do you have a winning streak when the number of open positions is kept low? Or can you handle a lot of open positions at the same time? Exit Spread Cost (in pips) – This is optional if you want to keep track of your spread cost in pips. If you executed a market order, how many pips did you pay in spread. Exit Spread Cost (in dollars) – This is optional if you want to keep track of your spread cost in dollars. If you executed a market order, how many dollars did you pay in spread. Total Spread Cost (in pips) – You write in the total spread cost of the entry and exit in pips. Total Spread Cost (in dollars) – You write in the total spread cost of the entry and exit in dollars. Commission Cost – Here you write in the total commission cost that you incurred for getting in and out of the trade. If you have a forex broker that is commission free and only gets compensated through the spread, then you do not need this column. Starting Balance – The starting account balance that you had prior to the placing of the trade Interest/swap – If you hold forex currency pairs past the rollover, then you either get interest or need to pay out interest depending on the rollover rates. Or if you bought a stock and got a dividend then write that in. Or if you shorted a stock and you had to pay a dividend, then write that in. Ending Balance – The ending balance of your account after the trade is closed after taking into account trade P&L, commission cost, and interest/swap. Reasons for taking the trade – Here is where you go into much more detail about why you placed the trade. Write out your thinking. Instead of writing a paragraph or two describing my thinking behind the trade, I condense the reasons down into bullet points. It can be anywhere from 1-10 bullet points. What I Learned – No matter if the trade is a win or loss, write down what you believed you learned. Again, instead of writing out a paragraph or two, I condense it down into bullet points. it can be anywhere from 1-10 bullet points. I do this during the day the trade closed as a profit or loss. What I learned after Long Term reflection, several days, weeks, or months – This is the very interesting column. This is important because after you have a winning or losing trade, you will not always know the true reasons why it happened. You have your immediate theories and reasons which you include in the previous column. However, there are times when after several days, weeks, or months, you find the true reason and proper market belief about why your trade succeeded or failed. It can take a few days or weeks or months to reach that “aha” moment. I am not saying that I am thinking about trades I placed ten months ago. I try to forget about them and focus on the present moment. However, there will be trades where you have these nagging questions about they failed or succeeded and you will only discover those reasons several days, weeks, or months later. When you discover the reasons, you write them in this column.
Elaborating on Datadash's 50k BTC Prediction: Why We Endorse the Call
As originally published via CoinLive I am the Co-Founder at CoinLive. Prior to founding Coinlive.io, my area of expertise was inter-market analysis. I came across Datadash 50k BTC prediction this week, and I must take my hats off to what I believe is an excellent interpretation of the inter-connectivity of various markets. At your own convenience, you can find a sample of Intermarket analysis I've written in the past before immersing myself into cryptos full-time. Gold inter-market: 'Out of sync' with VIX, takes lead from USD/JPY USD/JPY inter-market: Watch divergence US-Japan yield spread EUUSD intermarket: US yields collapse amid supply environment Inter-market analysis: Risk back in vogue, but for how long? USD/JPY intermarket: Bulls need higher adj in 10-y US-JP spread The purpose of this article is to dive deeper into the factors Datadash presents in his video and how they can help us draw certain conclusions about the potential flows of capital into crypto markets and the need that will exist for a BTC ETF. Before I do so, as a brief explainer, let's touch on what exactly Intermarket analysis refers to: Intermarket analysis is the global interconnectivity between equities, bonds, currencies, commodities, and any other asset class; Global markets are an ever-evolving discounting and constant valuation mechanism and by studying their interconnectivity, we are much better positioned to explain and elaborate on why certain moves occur, future directions and gain insights on potential misalignments that the market may not have picked up on yet or might be ignoring/manipulating. While such interconnectivity has proven to be quite limiting when it comes to the value one can extract from analyzing traditional financial assets and the crypto market, Datadash has eloquently been able to build a hypothesis, which as an Intermarket analyst, I consider very valid, and that matches up my own views. Nicolas Merten constructs a scenario which leads him to believe that a Bitcoin ETF is coming. Let's explore this hypothesis. I will attempt to summarize and provide further clarity on why the current events in traditional asset classes, as described by Datadash, will inevitably result in a Bitcoin ETF. Make no mistake, Datadash's call for Bitcoin at 50k by the end of 2018 will be well justified once a BTC ETF is approved. While the timing is the most challenging part t get right, the end result won't vary. If one wishes to learn more about my personal views on why a BTC ETF is such a big deal, I encourage you to read my article from late March this year. Don't Be Misled by Low Liquidity/Volume - Fundamentals Never Stronger The first point Nicholas Merten makes is that despite depressed volume levels, the fundamentals are very sound. That, I must say, is a point I couldn't agree more. In fact, I recently wrote an article titled TheParadox: Bitcoin Keeps Selling as Intrinsic Value Set to Explode where I state "the latest developments in Bitcoin's technology makes it paradoxically an ever increasingly interesting investment proposition the cheaper it gets." However, no article better defines where we stand in terms of fundamentals than the one I wrote back on May 15th titled Find Out Why Institutions Will Flood the Bitcoin Market, where I look at the ever-growing list of evidence that shows why a new type of investors, the institutional ones, looks set to enter the market in mass. Nicholas believes that based on the supply of Bitcoin, the market capitalization can reach about $800b. He makes a case that with the fundamentals in bitcoin much stronger, it wouldn't be that hard to envision the market cap more than double from its most recent all-time high of more than $300b. Interest Rates Set to Rise Further First of all, one of the most immediate implications of higher rates is the increased difficulty to bear the costs by borrowers, which leads Nicholas to believe that banks the likes of Deutsche Bank will face a tough environment going forward. The CEO of the giant German lender has actually warned that second-quarter results would reflect a “revenue environment [that] remains challenging." Nicholas refers to the historical chart of Eurodollar LIBOR rates as illustrated below to strengthen the case that interest rates are set to follow an upward trajectory in the years to come as Central Banks continue to normalize monetary policies after a decade since the global financial crisis. I'd say, that is a correct assumption, although one must take into account the Italian crisis to be aware that a delay in higher European rates is a real possibility now. !(https://coinlive.io/ckeditor_assets/pictures/947/content_2018-05-30_1100.png) Let's look at the following combinations: Fed Fund Rate Contract (green), German 2-year bond yields (black) and Italy's 10-year bond yield (blue) to help us clarify what's the outlook for interest rates both in Europe and the United States in the foreseeable future. The chart suggests that while the Federal Reserve remains on track to keep increasing interest rates at a gradual pace, there has been a sudden change in the outlook for European rates in the short-end of the curve. While the European Central Bank is no longer endorsing proactive policies as part of its long-standing QE narrative, President Mario Draghi is still not ready to communicate an exit strategy to its unconventional stimulus program due to protectionism threats in the euro-area, with Italy the latest nightmare episode. Until such major step is taken in the form of a formal QE conclusion, interest rates in the European Union will remain depressed; the latest drastic spike in Italy's benchmark bond yield to default levels is pre-emptive of lower rates for longer, an environment that on one hand may benefit the likes of Deutsche Bank on lower borrowing costs, but on the other hand, sets in motion a bigger headache as risk aversion is set to dominate financial markets, which leads to worse financial consequences such as loss of confidence and hence in equity valuations. !(https://coinlive.io/ckeditor_assets/pictures/948/content_2018-05-30_1113.png) Deutsche Bank - End of the Road? Nicholas argues that as part of the re-restructuring process in Deutsche Bank, they will be facing a much more challenging environment as lending becomes more difficult on higher interest rates. At CoinLive, we still believe this to be a logical scenario to expect, even if a delay happens as the ECB tries to deal with the Italian political crisis which once again raises the question of whether or not Italy should be part of the EU. Reference to an article by Zerohedge is given, where it states: "One day after the WSJ reported that the biggest German bank is set to "decimate" its workforce, firing 10,000 workers or one in ten, this morning Deutsche Bank confirmed plans to cut thousands of jobs as part of new CEO Christian Sewing's restructuring and cost-cutting effort. The German bank said its headcount would fall “well below” 90,000, from just over 97,000. But the biggest gut punch to employee morale is that the bank would reduce headcount in its equities sales and trading business by about 25%." There is an undeniably ongoing phenomenon of a migration in job positions from traditional financial markets into blockchain, which as we have reported in the past, it appears to be a logical and rational step to be taken, especially in light of the new revenue streams the blockchain sector has to offer. Proof of that is the fact that Binance, a crypto exchange with around 200 employees and less than 1 year of operations has overcome Deutsche Bank, in total profits. What this communicates is that the opportunities to grow an institution’s revenue stream are formidable once they decide to integrate cryptocurrencies into their business models. One can find an illustration of Deutsche Bank's free-fall in prices below: !(https://coinlive.io/ckeditor_assets/pictures/946/content_2018-05-30_1052.png) Nicholas takes notes of a chart in which one can clearly notice a worrying trend for Italian debt. "Just about every other major investor type has become a net seller (to the ECB) or a non-buyer of BTPs over the last couple of years. Said differently, for well over a year, the only marginal buyer of Italian bonds has been the ECB!", the team of Economists at Citi explained. One can find the article via ZeroHedge here. !(https://coinlive.io/ckeditor_assets/pictures/953/content_2018-05-30_1451.png) Equities & Housing to Suffer the Consequences Nicholas notes that trillions of dollars need to exit these artificially-inflated equity markets. He even mentions a legendary investor such as George Soros, who has recently warned that the world could be on the brink of another devastating financial crisis, on lingering debt concerns in Europe and a strengthening US dollar, as a destabilizing factor for both the US's emerging- and developed-market rivals. Ray Dalio, another legend in the investing world and Founder of Bridgewater Associates, the world’s largest hedge fund, "has ramped up its short positions in European equities in recent weeks, bringing their total value to an estimated $22 billion", MarketWatch reports. Nicholas extracts a chart by John Del Vecchio at lmtr.com where it illustrates the ratio between stocks and commodities at the lowest in over 50 years. As the author states: "I like to look for extremes in the markets. Extremes often pinpoint areas where returns can be higher and risk lower than in other time periods. Take the relationship between commodities and stocks. The chart below shows that commoditieshavennot been cheaper than stocks in a generation. We often hear this time it is different” to justify what’s going on in the world. But, one thing that never changes is human nature. People push markets to extremes. Then they revert. " !(https://coinlive.io/ckeditor_assets/pictures/954/content_2018-05-30_1459.png) Bitcoin ETF the Holy Grail for a Cyclical Multi-Year Bull Run It is precisely from this last chart above that leads Nicholas to believe we are on the verge of a resurgence in commodity prices. Not only that but amid the need of all this capital to exit stocks and to a certain extent risky bonds (Italian), a new commodity-based digital currency ETF based on Bitcoin will emerge in 2018. The author of Datadash highlights the consideration to launching a Bitcoin ETF by the SEC. At CoinLive, our reporting of the subject can be found below: "Back in April, it was reported that the US Securities and Exchange Commission (SEC) has put back on the table two Bitcoin ETF proposals, according to public documents. The agency is under formal proceedings to approve a rule change that would allow NYSE Arca to list two exchange-traded funds (ETFs) proposed by fund provider ProShares. The introduction of an ETF would make Bitcoin available to a much wider share of market participants, with the ability to directly buy the asset at the click of a button, essentially simplifying the current complexity that involves having to deal with all the cumbersome steps currently in place." Nicholas refers to the support the Bitcoin ETF has been receiving by the Cboe president Chris Concannon, which is a major positive development. CoinLive reported on the story back in late March, noting that "a Bitcoin ETF will without a doubt open the floodgates to an enormous tsunami of fresh capital entering the space, which based on the latest hints by Concannon, the willingness to keep pushing for it remains unabated as the evolution of digital assets keeps its course." It has been for quite some time CoinLive's conviction, now supported by no other than Nicholas Merten from Datadash, that over the next 6 months, markets will start factoring in the event of the year, that is, the approval of a Bitcoin ETF that will serve as a alternative vehicle to accommodate the massive flows of capital leaving some of the traditional asset classes. As Nicholas suggests, the SEC will have little choice but to provide alternative investments. Bitcoin as a Hedge to Lower Portfolios' Volatility Last but not least, crypto assets such as Bitcoin and the likes have an almost non-existent correlation to other traditional assets such as stocks, bonds, and commodities, which makes for a very attractive and broadly-applicable diversification strategy for the professional money as it reduces one’s portfolio volatility. The moment a Bitcoin ETF is confirmed, expect the non-correlation element of Bitcoin as a major driving force to attract further capital. Anyone Can BeWrongDatadash, But You Won't be Wrong Alone Having analyzed the hypothesis by Nicholas Merten, at CoinLive we believe that the conclusion reached, that is, the creation of a Bitcoin ETF that will provide shelter to a tsunami of capital motivated by the diversification and store of value appeal of Bitcoin, is the next logical step. As per the timing of it, we also anticipate, as Nicholas notes, that it will most likely be subject to the price action in traditional assets. Should equities and credit markets hold steady, it may result in a potential delay, whereas disruption in the capital market may see the need for a BTC ETF accelerate. Either scenario, we will conclude with a quote we wrote back in March. "It appears as though an ETF on Bitcoin is moving from a state of "If" to "When." Datadash is certainly not alone on his 50k call. BitMEX CEO Arthur Hayes appears to think along the same line. On behalf of the CoinLive Team, we want to thank Nicholas Merten at Datadash for such enlightening insights.
"Satoshi Nakamoto" the mysterious creator of Bitcoin is no other than the CIA
Bitcoin has surged to all time highs, Who created Bitcoin, and why? The creator of Bitcoin is officially a name, “Satoshi Nakamoto” – very few people believe that it was a single male from Japan. In the early days of Bitcoin development this name is associated with original key-creation and communications on message boards, and then the project was officially handed over to others at which point this Satoshi character never appeared again (Although from time to time someone will come forward saying they are the real Satoshi Nakamoto, and then have their posts deleted). Bitcoin could very well be the ‘one world currency’ that conspiracy theorists have been talking about for some time. It’s a kill five birds with one stone solution – not only is Bitcoin an ideal one world currency, it allows law enforcement a perfect record of all transactions on the network. It states very clearly on bitcoin.org (the official site) in big letters “Bitcoin is not anonymous” : Some effort is required to protect your privacy with Bitcoin. All Bitcoin transactions are stored publicly and permanently on the network, which means anyone can see the balance and transactions of any Bitcoin address. However, the identity of the user behind an address remains unknown until information is revealed during a purchase or in other circumstances. This is one reason why Bitcoin addresses should only be used once. Another advantage of Bitcoin is the problem of Quantitative Easing – the Fed (and thus, nearly all central banks in the world) have painted themselves in a corner, metaphorically speaking. QE ‘solved’ the credit crisis, but QE itself does not have a solution. Currently all currencies are in a race to zero – competing with who can print more money faster. Central Bankers who are in systemic analysis, their economic advisors, know this. They know that the Fiat money system is doomed, all what you can read online is true (just sensationalized) – it’s a debt based system based on nothing. That system was created, originally in the early 1900’s and refined during Breton Woods followed by the Nixon shock (This is all explained well in Splitting Pennies). In the early 1900’s – there was no internet! It is a very archaic system that needs to be replaced, by something modern, electronic, based on encryption. Bitcoin! It’s a currency based on ‘bits’ – but most importantly, Bitcoin is not the ‘one world currency’ per se, but laying the framework for larger cryptocurrency projects. In the case of central banks, who control the global monetary system, that would manifest in ‘Settlement Coin’ : Two resources available almost exclusively to central banks could soon be opened up to additional users as a result of a new digital currency project designed by a little-known startup and Swiss bank UBS. One of those resources is the real-time gross settlement (RTGS) system used by central banks (it’s typically reserved for high-value transactions that need to be settled instantly), and the other is central bank-issued cash. Using the Utility Settlement Coin (USC) unveiled today, the five-member consortium that has sprung up around the project aims to help central banks open-up access to these tools to more customers. If successful, USC has the potential to create entirely new business models built on instant settling and easy cash transfers. In interview, Robert Sams, founder of London-based Clearmatics, said his firm initially worked with UBS to build the network, and that BNY Mellon, Deutsche Bank, ICAP and Santander are only just the first of many future members. the NSA/CIA often works for big corporate clients, just as it has become a cliche that the Iraq war was about big oil, the lesser known hand in global politics is the banking sector. In other words, Bitcoin may have very well been ‘suggested’ or ‘sponsored’ by a banker, group of banks, or financial services firm. But the NSA (as we surmise) was the company that got the job done. And probably, if it was in fact ‘suggested’ or ‘sponsored’ by a private bank, they would have been waiting in the wings to develop their own Bitcoin related systems or as in the above “Settlement Coin.” So the NSA made Bitcoin – so what? The FX markets currently represent the exchange between ‘major’ and ‘minor’ currencies. In the future, why not too they will include ‘cryptocurrencies’ – we’re already seeing the BTC/EUR pair popup on obscure brokers. When BTC/USD and BTC/EUR are available at major FX banks and brokers, we can say – from a global FX perspective, that Bitcoin has ‘arrived.’ Many of us remember the days when the synthetic “Euro” currency was a new artificial creation that was being adopted, although the Euro project is thousands of degrees larger than the Bitcoin project. But unlike the Euro, Bitcoin is being adopted at a near exponential rate by demand (Many merchants resisted the switch to Euros claiming it was eating into their profit margins and they were right!). And to answer the question as to why Elite E Services is not actively involved in Bitcoin the answer is that previously, you can’t trade Bitcoin. Now we’re starting to see obscure brokers offering BTC/EUR but the liquidity is sparse and spreads are wacky – that will all change. When we can trade BTC/USD just like EUUSD you can bet that EES and a host of other algorithmic FX traders will be all over it! It will be an interesting trade for sure, especially with all the volatility, the cross ‘pairs’ – and new cryptocurrencies. For the record, for brokers- there’s not much difference adding a new symbol (currency pair) in MT4 they just need liquidity, which has been difficult to find. So there’s really nothing revolutionary about Bitcoin, it’s just a logical use of technology in finance considering a plethora of problems faced by any central bank who creates currency. And there are some interesting caveats to Bitcoin as compared to major currencies; Bitcoin is a closed system (there are finite Bitcoin) – this alone could make such currencies ‘anti-inflationary’ and at the least, hold their value (the value of the USD continues to deteriorate slowly over time as new M3 introduced into the system.) But we need to pay Here’s some interesting theories about who or whom is Satoshi: A corporate conglomerate Some researchers proposed that the name ‘Satoshi Nakamoto’ was derived from a combination of tech companies consisting of Samsung, Toshiba, Nakayama, and Motorola. The notion that the name was a pseudonym is clearly true and it is doubtful they reside in Japan given the numerous forum posts with a distinctly English dialect. Craig Steven Wright This Australian entrepreneur claims to be the Bitcoin creator and provided proof. But soon after, his offices were raided by the tax authorities on ‘an unrelated matter’ Soon after these stories were published, authorities in Australia raided the home of Mr Wright. The Australian Taxation Office said the raid was linked to a long-running investigation into tax payments rather than Bitcoin. Questioned about this raid, Mr Wright said he was cooperating fully with the ATO. “We have lawyers negotiating with them over how much I have to pay,” he said. Other potential creators Nick Szabo, and many others, have been suggested as potential Satoshi – but all have denied it: The New Yorker published a piece pointing at two possible Satoshis, one of whom seemed particularly plausible: a cryptography graduate student from Trinity College, Dublin, who had gone on to work in currency-trading software for a bank and published a paper on peer-to-peer technology. The other was a Research Fellow at the Oxford Internet Institute, Vili Lehdonvirta. Both made denials. Fast Company highlighted an encryption patent application filed by three researchers – Charles Bry, Neal King and Vladimir Oksman – and a circumstantial link involving textual analysis of it and the Satoshi paper which found the phrase “…computationally impractical to reverse” in both. Again, it was flatly denied. THE WINNER: It was the NSA The NSA has the capability, the motive, and the operational capacity – they have teams of cryptographers, the biggest fastest supercomputers in the world, and they see the need. Whether instructed by their friends at the Fed, in cooperation with their owners (i.e. Illuminati banking families), or as part of a DARPA project – is not clear and will never be known (unless a whistleblower comes forward). In fact, the NSA employs some of the best mathematicians and cryptographers in the world. Few know about their work because it’s a secret, and this isn’t the kind of job you leave to start your own cryptography company. But the real smoking Gun, aside from the huge amount of circumstantial evidence and lack of a credible alternative, is the 1996 paper authored by NSA “HOW TO MAKE A MINT: THE CRYPTOGRAPHY OF ANONYMOUS ELECTRONIC CASH” The NSA was one of the first organizations to describe a Bitcoin-like system. About twelve years before Satoshi Nakamotopublished his legendary white paper to the Metzdowd.com cryptography mailing list, a group of NSA information security researchers published a paper entitled How to Make a Mint: the Cryptography of Anonymous Electronic Cash in two prominent places, the first being an MIT mailing list and the second being much more prominent, The American Law Review The paper outlines a system very much like Bitcoin in which secure financial transactions are possible through the use of a decentralized network the researchers refer informally to as a Bank. They list four things as indispensable in their proposed network: privacy, user identification (protection against impersonation), message integrity (protection against tampering/substitution of transaction information – that is, protection against double-spending), and nonrepudiation (protection against later denial of a transaction – a blockchain!). It is evident that SHA-256, the algorithm Satoshi used to secure Bitcoin, was not available because it came about in 2001. However, SHA-1 would have been available to them, having been published in 1993. Why would the NSA want to do this? One simple reason: Control. As we explain in Splitting Pennies – Understanding Forex – the primary means the US dominates the world is through economic policy, although backed by bombs. And the critical support of the US Dollar is primarily, the military. The connection between the military and the US Dollar system is intertwined inextricably. There are thousands of great examples only one of them being how Iraq switched to the Euro right before the Army’s invasion. In October 2000 Iraq insisted on dumping the US dollar – ‘the currency of the enemy’ – for the more multilateral euro. The changeover was announced on almost exactly the same day that the euro reached its lowest ebb, buying just $0.82, and the G7 Finance Ministers were forced to bail out the currency. On Friday the euro had reached $1.08, up 30 per cent from that time. Almost all of Iraq’s oil exports under the United Nations oil-for-food programme have been paid in euros since 2001. Around 26 billion euros (£17.4bn) has been paid for 3.3 billion barrels of oil into an escrow account in New York. The Iraqi account, held at BNP Paribas, has also been earning a higher rate of interest in euros than it would have in dollars. The point here is there are a lot of different types of control. The NSA monitors and collects literally all electronic communications; internet, phone calls, everything. They listen in even to encrypted voice calls with high powered microphones, devices like cellphones equipped with recording devices (See original “Clipper” chip). It’s very difficult to communicate on planet Earth in private, without the NSA listening. So it is only logical that they would also want complete control of the financial system, including records of all electronic transactions, which Bitcoin provides. Could there be an ‘additional’ security layer baked into the Blockchain that is undetectable, that allows the NSA to see more information about transactions, such as network location data? It wouldn’t be so far fetched, considering their past work, such as Xerox copy machines that kept a record of all copies made (this is going back to the 70’s, now it’s common). Of course security experts will point to the fact that this layer remains invisible, but if this does exist – of course it would be hidden. More to the point about the success of Bitcoin – its design is very solid, robust, manageable – this is not the work of a student. Of course logically, the NSA employs individuals, and ultimately it is the work of mathematicians, programmers, and cryptographers – but if we deduce the most likely group capable, willing, and motivated to embark on such a project, the NSA is the most likely suspect. Universities, on the other hand, didn’t product white papers like this from 1996. Another question is that if it was the NSA, why didn’t they go through more trouble concealing their identity? I mean, the internet is rife with theories that it was in fact the NSA/CIA and “Satoshi Nakamoto” means in Japanese “Central Intelligence” – well there are a few answers for this, but to be congruent with our argument, it fits their profile. Where could this ‘hidden layer’ be? Many think it could be in the public SHA-256, developed by NSA (which ironically, was the encryption algorithm of choice for Bitcoin – they could have chosen hundreds of others, which arguably are more secure): Claims that the NSA created Bitcoin have actually been flung around for years. People have questioned why it uses the SHA-256 hash function, which was designed by the NSA and published by the National Institute for Standards and Technology (NIST). The fact that the NSA is tied to SHA-256 leads some to assume it’s created a backdoor to the hash function that no one has ever identified, which allows it to spy on Bitcoin users. “If you assume that the NSA did something to SHA-256, which no outside researcher has detected, what you get is the ability, with credible and detectable action, they would be able to forge transactions. The really scary thing is somebody finds a way to find collisions in SHA-256 really fast without brute-forcing it or using lots of hardware and then they take control of the network,” cryptography researcher Matthew D. Green of Johns Hopkins University said in a previous interview. Then there’s the question of “Satoshi Nakamoto” – if it was in fact the NSA, why not just claim ownership of it? Why all the cloak and dagger? And most importantly, if Satoshi Nakamoto is a real person, and not a group that wants to remain secret – WHY NOT come forward and claim your nearly $3 Billion worth of Bitcoin (based on current prices). Did the NSA create Satoshi Nakamoto? The CIA Project, a group dedicated to unearthing all of the government’s secret projects and making them public, hasreleased a video claiming Bitcoin is actually the brainchild of the US National Security Agency. The video entitled CIA Project Bitcoin: Is Bitcoin a CIA or NSA project? claims that there is a lot of compelling evidences that proves that the NSA is behind Bitcoin. One of the main pieces of evidence has to do with the name of the mysterious man, woman or group behind the creation of Bitcoin, “Satoshi Nakamoto”. According to the CIA Project, Satoshi Nakamoto means “Central Intelligence” in Japanese. Doing a quick web search, you’ll find out that Satoshi is usually a name given for baby boys which means “clear thinking, quick witted, wise,” while Nakamoto is a Japanese surname which means ‘central origin’ or ‘(one who lives) in the middle’ as people with this surname are found mostly in the Ryukyu islands which is strongly associated with the Ry?ky? Kingdom, a highly centralized kingdom that originated from the Okinawa Islands. So combining Nakamoto and Satoshi can be loosely interpreted as “Central Intelligence”. Is it so really hard to believe? This is from an organization that until the Snowden leaks, secretly recorded nearly all internet traffic on the network level by splicing fiber optic cables. They even have a deep-sea splicing mission that will cut undersea cables and install intercept devices. Making Bitcoin wouldn’t even be a big priority at NSA. Certainly, anonymity is one of the biggest myths about Bitcoin. In fact, there has never been a more easily traceable method of payment. Every single transaction is recorded and retained permanently in the public “blockchain”. The idea that the NSA would create an anarchic, peer-to-peer crypto-currency in the hope that it would be adopted for nefarious industries and become easy to track would have been a lot more difficult to believe before the recent leaks by Edward Snowden and the revelation that billions of phone calls had been intercepted by the US security services. We are now in a world where we now know that the NSA was tracking the pornography habits of Islamic “radicalisers” in order to discredit them and making deals with some of the world’s largest internet firms to insert backdoors into their systems. And we’re not the only ones who believe this, in Russia they ‘know’ this to be true without sifting through all the evidence. Nonetheless, Svintsov’s remarks count as some of the more extreme to emanate from the discussion. Svintsov told Russian broadcast news agency REGNUM:“All these cryptocurrencies [were] created by US intelligence agencies just to finance terrorism and revolutions.”Svintsov reportedly went on to explain how cryptocurrencies have started to become a payment method for consumer spending, and cited reports that terrorist organisations are seeking to use the technology for illicit means. Let’s elaborate on what is ‘control’ as far as the NSA is concerned. Bitcoin is like the prime mover. All future cryptocurrencies, no matter how snazzy or functional – will never have the same original keys as Bitcoin. It created a self-sustained, self-feeding bubble – and all that followed. It enabled law enforcement to collect a host of criminals on a network called “Silk Road” and who knows what other operations that happened behind the scenes. Because of pesky ‘domestic’ laws, the NSA doesn’t control the internet in foreign countries. But by providing a ‘cool’ currency as a tool, they can collect information from around the globe and like Facebook, users provide this information voluntarily. It’s the same strategy they use like putting the listening device in the chips at the manufacturing level, which saves them the trouble of wiretapping, electronic eavesdropping, and other risky methods that can fail or be blocked. It’s impossible to stop a cellphone from listening to you, for example (well not 100%, but you have to physically rewire the device). Bitcoin is the same strategy on a financial level – by using Bitcoin you’re giving up your private transactional information. By itself, it would not identify you per se (as the blockchain is ‘anonymous’ but the transactions are there in the public register, so combined with other information, which the NSA has a LOT OF – they can triangulate their information more precisely. That’s one problem solved with Bitcoin – another being the economic problem of QE (although with a Bitcoin market cap of $44 Billion, that’s just another day at the Fed buying MBS) – and finally, it squashes the idea of sovereignty although in a very, very, very subtle way. You see, a country IS a currency. Until now, currency has always been tied to national sovereignty (although the Fed is private, USA only has one currency, the US Dollar, which is exclusively American). Bitcoin is a super-national currency, or really – the world’s first one world currency. Of course, this is all great praise for the DOD which seems to have a 50 year plan – but after tens of trillions spent we’d hope that they’d be able to do something better than catching terrorists (which mostly are artificial terrorists)
I feel like with all the cheating and drama going on with spot fx we should at the very least have a dedicated section on the right for guidance on futures contracts. The shady Cypriot brokers and ones on other random islands are lying and selling a dream so let's take a look at the reality of spot fx... Currency markets are the most liquid and active markets of any sector. However, there is also a great deal of misinformation, slick advertising, and even outright deception regarding this $2 Trillion Dollar a Day marketplace. For starters, a large percentage of that $2 Trillion is traded through what is referred to as the interbank market. The interbank market is the top-level foreign exchange market where banks exchange different currencies. This trading between banks is not accessible to retail traders and is estimated to account for the vast majority of the Trillion Dollar liquidity factor that attracts so many retail traders in the first place. Here are a few of the reasons to trade futures: -Level playing field for all participants -Deep liquidity on major currency contracts -Safety and security of central clearing If your Forex brokerage firm uses a dealing desk, your buy and sell orders never actually reach the true Forex market. In other words, you do not have access to the inter-bank market. Instead you are buying and selling at prices set, and potentially manipulated by the dealing desk. This is known as conflict of interest. The Chicago Mercantile Exchange guarantees each transaction. Futures contracts are legally binding! This means that if you go long a currency futures contract and your speculation was correct, you will walk away from the trade with your profit even if the person that took the other side of the trade fails to pay. This is what we call counterparty risk. Take a moment, have a break and take a look at all the horror stories on forex factory, for instance. Whether you are a large institution or an individual trader, everyone is on equal footing when it comes to pricing currency futures. EVERYBODY gets the same price regardless of who you are (individual or mega bank). Best price wins, it is as simple as that — something that is not always the case in the fragmented OTC FX market. The spreads are also very tight if you trade liquid future contracts. Spot fx brokers also control their price feeds. They can widen the spreads as they see fit and they can really screw you over if they want to. Believe me when I say that most fx brokers don't want you to win! Even the ones that claim to have liquidity providers... Those are nothing but price feeds. Quotes. Nothing more.... And Forex firms offering a "fixed" 3-5 point spread may not be charging traders commission outright, or even in a form that shows up on an account statement, but there are significant costs built into the synthetic market that they provide to you. No middle man, no market maker. Yes, Forex is an electronic market, but your order still ends up on a "dealing desk" where a human handles your order. Or an algorithm... Basically, a Market Maker. He could make you or break you. With E-mini Futures you have a level playing field. You trade on a centralised and CFTC regulated exchange. Whether you're Goldman Sachs or Joe from Idaho, you get equal treatment! If you're worried about Liquidity - 1.5-3m contracts trade hands everyday on the S&P 500 E-mini Futures Contract. If you want in or out of a position, there is almost always someone waiting and willing to take the other side of your trade (24/5) just 1 tick away. This simply isn't true for all Forex Pairs. Low Cost of Doing Business - Commissions on a self directed SP500 E-mini Trade (ES) should be no more than $3.00 per side or $6.00 per round turn. While many Forex Brokers tout "Zero Commission", we all know there's no free lunch. Forex Brokers don't need to charge a commission because they make money off of the bid/ask spread "they create" and then take the other side of your trade. Run the numbers... for every $100 in profits or loss, you will spend a larger % in "cost of doing business" in the Forex Market than you will in the S&P E-mini Market. Don't take my word for it... go take some real trades and you'll quickly see the truth. Zero Interest - If you you trade the ES intraday, expect to put up $500 per contract as a "bond" for lack of a better term. That's it. No hidden cost. Forex however, has a "cost of carry" associated which means interest may be charged or paid on positions taken. Fiduciary Responsibility - Even regulated US Forex firms are not required to segregate customer funds. If a regulated firm goes under, you do not have the protection of the CFTC and the NFA as you do in the Futures Markets. Turn ON The Volume Please - In Forex, since there is no centralised exchange, it is impossible to get a true read on volume. Not so with the S&P 500 "ES" E-mini. Simply turn on the volume indicator and you have exact numbers for Volume Analysis. GS and CITI have huge research departments with hundreds of employees, but they know nothing about volume that you don't know via a free indicator on your direct access trading platform. Just one more example of the level playing field we constantly speak of. Centralised Clearing - All trades are cleared via the CME - Chicago Mercantile Exchange. All trades, including time and sales, are public information and posted in real time. Edit: By the way, if you're worried about discrepancies, currency futures charts look almost exactly the same as their spot fx siblings! So you can easily apply your current strategy to this market, too! A great example would be "M6E" vs "EUUSD" SO GUYS, LET'S ACCEPT REALITY AND LET'S DO SOMETHING ABOUT IT. DO YOU AGREE? Source: cfrn.net
I'm thirsty to learn a new technical skill and trading is right up my alley. However, I'm doing my due dilligance and will be paper trading for a long time while I study, practice and educate myself. However the biggest question ultimately will be "What will I trade?" And I've narrowed it to E Mini S%P Futures or Forex. The attraction to both is a) Smaller capital requirements, meaning I can persue this as a hobby and keep the bankroll still at a 'fun' level (5k or so to start I'm expecting) b) Simplified analysis - what I mean by this is I don't want to be hunting for stocks, or companies and doing hours and hours of research and homework every morning and at night. I'm an obsessive guy and I'll 100% be the guy who can't put his ipad or laptop down because I'm still reading the latest business news. Going with Forex I can choose one single pair and just become an expert of it. Futures is the same thing in that the S&P is one chart. That's it. Simple. The time wasted hunting down company stock to swap can be used on working on a strong trading strategy, or refining my risk management technique. However, between the two I'm having a much harder time figuring out where to go with this. For the time being I'm relegated to web based platforms, so I'm likely going to try Oanda first since their web client is clean and quick. They offer all the big currency pairs, as well as the S&P E-Minis Futures board. If I went with Forex, the currency pairs of most interest are either EUUSD or USD/CAD. I'm not sure which way to go. Any tips or insight?
The first crypto-broker. What do you think about it?
Larson&Holz, an international group of companies, presented its innovative project – crypto-broker LH-Crypto, – at the Annual Business Congress in Moscow. It seems that the event planners of the Annual Business Congress with Mikhail Hazin have tried to boil the ocean. The number of topics for discussion and their profundity were astounding. It was hard to believe that three days would be enough to speculate on: world’s major currencies prospects, US economy future, enlarging business profits in the times of crisis, sensible investment tactics, the phenomenon of cryptocurrencies which is gaining more and more popularity nowadays, etc. However, when Mikhail Hazin and Jan Art, the famous experts, come on the stage, any trickiest challenge seems not that unsolvable at all. One of the leading economists (macroeconomists) of Russia in his characteristic vivid manner gave a not-so-bright forecast for the American and global economy and prophesied for the forthcoming reshaping of economic models; he also stated the urging need to seek and implement new ideas. “The global economy cannot survive on the same principles which have been raising it up for the past forty years. Giving people money and hoping for the respective increase in demand is a no go anymore. The developed countries’ population is so deep in depth that some households in the USA cannot cater their credits, not speaking about closing them. The average spending capacity of the US population is on the 1958 level.” said Mr. Hazin. This brings us to a question: what would the management system be after the fundamental changes? According to the economist, there already is an answer: cryptocurrencies. They owe their existence and popularity to the fact that for the past decades the financial system has been coming apart at the seams and the information on the real state of events is more available to people. Vladimir Kuzovlev, Larson&Holz expert, has supported the statement that cryptocurrencies are worth paying attention to. At the very beginning of his speech he claimed that cryptocurrencies in general and bitcoin in particular have long since become real investment instruments, just as fiat currencies, oil or gold. Regarding technical analysis, a popular tool among traders, graphs of several cryptocurrencies look so appealing that it makes investors come to this market again and again. Oleg Dmitriev, an independent specialist from Larson&Holz group, focused attention on how fast cryptocurrencies are evolving, upgrading the convenience of use and its status. “Until recently about a half of what we were talking about could become a reason for criminal investigation, yet today operations with cryptocurrencies are absolutely normal, their invasion to the real world and their synergy with fiat currencies is ever growing” stated Mr. Dmitriev. Currently there are 800 cryptocurrencies, their number is growing (each week there are approximately 2,5 new placements). Due to this there comes a reasonable question: how long will cryptocurrencies survive? All the participants and experts have agreed upon one opinion that there is no place for all 800 cryptocurrencies or more; so there will be some sort of fast natural selection; several dozens (maybe a hundred) of the most powerful, resilient and popular cryptocurrencies will stay and will later represent the whole market. Naturally, the next speech was given by Alexandr Smirnoff, the Head of the Trading Operations and Audit Department of the brokerage house L&H, a top-20 trading guild leader and a famous specialist in market exchange technologies and financial consulting. Mr Smirnoff presented the revolutionary project LH Crypto. It’s not just another exchange platform that Larson&Holz is creating, it starts a fully-featured crypto-broker; it means that from now on the company’s clients will be able to have their accounts not only in USD and EUR, but in cryptocurrencies as well, and make the same operations as with fiat currencies. This step will radically change the broker’s economy, it will open new markets and new regions, where local laws had hindered Forex market development before. LH Crypto will allow the broker to make settlements with China, India, Thailand, Malaysia, Vietnam, many Arab countries; what is more, there is no need to open real representative offices in any of these countries, therefore there is no need to acquire license for operational activity, which will reduce the operational expenses from 6% to 1%. The company launches an ICO to support this project in the autumn 2017; Larson&Holz will release LHCoin tokens with guaranteed (written in the smart contract) profitability of more than 20%. Moreover, LHCoin holders will benefit from programmes which provide additional profits. CASHBACK Program is a monthly payback to token holders as a fixed proportion from the operational activity of the company. Early Bird Bonus an effective instrument to support and reward first investors by means of price growth for the following investors. “We presume that during the PRE ICO and the ICO itself we will manage to attract around 5-10 mln USD, but we won’t be surprised if the interest is higher, for we do offer an innovative product” said Alexandr Smirnoff. PRE ICO will start on the 30th of October, ICO – a month later.
Derivatives Trading is on the Edge of a New World With Artificial Intelligence on Level01
https://preview.redd.it/2r0yyzpr9z321.png?width=640&format=png&auto=webp&s=4d3d9fa506588761696133140ca38af266215f29 Could artificial intelligence in trading become the new normal? Advances in technology and new standards surrounding automated trading are pushing us ever closer to transforming the industry. If this sounds very much like a science fiction movie, we can assure you it is not. In fact, artificial intelligence (AI) is already being utilized by banks, but its going to take a little longer for people to catch up to the idea that their investment is as safe, if not safer than it would be if their investments were handled by humans. An analysis by Accenture indicates that between 2018 and 2022, banks that invest in AI and human-machine collaboration at the same rate as top-performing businesses could boost their revenue by an average of 34 percent. AI’s application is proven to improve efficiencies or customer outcomes and the software-development team at Level01 is working hard to achieve a human-machine collaborated future in derivatives trading — to help people trade better, with ease and peace of mind. As far as discernment in artificial intelligence in trading go, algorithmic trading is perhaps the most discussed of all. If we take a closer look at its application today, automated trading reflects our attitudes towards technology and how it is evolving the way we invest. Yet much of the discussion is still fixated on the hypothetical scenarios that automated trading would take over human jobs. Much less weight is being placed on the fact that AI through its fundamental form known to many as algorithmic trading has been used by institutional and retail investors for almost a decade now. “But there’s an obvious gap between institutional and retail users when it comes to trading and we aim to bridge that gap by creating a ‘level playing field’ for Level01 users. We do this by empowering them with our AI price discovery mechanism known as ‘FairSense’” says Naglis Vysniauskas, Head Quant Developer at Level01. “The AI was built using cross-stream analytics that were previously available only to institutional organizations.” From helping investors to assess true market value of the contracts to enabling them to continuously update their bid or offer price relative to the implied fair value by FairSense, plenty of functions were built in to support human-collaborated trading, rather than substituting it. Introducing these features on a sleek user-friendly app is a strategic step-by-step approach to help the public get used to a whole different way of investing on an efficient and trustworthy Peer to Peer Derivatives Market platform like Level01. “People will experience trading at speeds, liquidity, freedom, accountability and transparency that have never been available before” says Vysniauskas. Those that find it hard to believe, can now experience trading on Level01 without limitations traditionally set by brokers, who would force their clients to accept their given price, disallow clients from dictating the best execution and insist that clients to trade at a ‘spread vs. mid’ (clients have no power to negotiate the level of spreads which they pay). The level of freedom granted to users on Level01 is enticing and highly persuasive. “On the Level01 Derivatives Exchange platform, retail investors (or users as we call them) can trade against multiple peers or brokers, and this enables them to find best execution available,” says Vysniauskas. “Also, the ability to specify a fixed spread to fair value of an instrument could potentially reduce trading spreads significantly for large investors.” The practicality of this feature though may not fit small investors though, because leaving fixed bid or offer prices without continuous adjustment would be risky in markets where sudden movements are common. “That is why we built Level01 to give users the freedom to continuously update their bid or offer price relative to the implied fair value by FairSense, this is so that if the trade is not a match, the bid or offer price is updated continuously as market moves to ensure that it is always priced competitively relative to the most recent fair value” adds Vysniauskas. HOW DOES FAIRSENSE WORK TO LEVEL01 USER’S ADVANTAGE? For the purposes of explaining how FairSense AI helps users on Level01, we take a look at this case study of a Binary Option Example on EUUSD Forex Pair. https://preview.redd.it/qqiilcks9z321.png?width=600&format=png&auto=webp&s=cfff89ed36c8051751e93f072c5c5f89b2ecace5 A 10-minute binary put option is being offered at a $59.73 (fair value +$0.50). The order is not filled or matched almost immediately, and after 4 seconds, the EUUSD spot price has moved by 1.5 pips and the fair value has not moved above the investor’s offer price. In this case, a contract is being offered below fair value. Now take a look at Chart 01 below. You can see that the relationship of the fair value of an option with the spot EUUSD price. You can tell that the fair value is highly dependent on the spot rate. Thus, if a retail investor submits an offer to an exchange, it might be filled at a time when it is already below the fair value — an undesirable scenario for investors. Such scenarios will stop investors from submitting further offers to the exchange. https://preview.redd.it/v9gfxbit9z321.png?width=600&format=png&auto=webp&s=fea9e3720a679b5f79e0306409c73f71844210ac To resolve this common problem, Level01’s FairSense AI enables all investors to quote ‘relative offers’ to FairSense’s fair value. This allows investors to simultaneously compete for the best offers without imposing them with a requirement to have their own algorithms for price estimation and having them continuously updating the quote manually. https://preview.redd.it/4lmbz3du9z321.png?width=600&format=png&auto=webp&s=dd59e23b3bab3d0d0097f5a0016bf489ddbbae4f In many ways, having AI as the norm will become essential to creating investment outcomes that are optimized for every type of investor, truly transforming the way trading is done. With an advanced Blockchain platform, AI and inbuilt frameworks that are designed to favor the user, Level01 will shape the future of automated trading on its Peer to Peer Derivatives Exchange at scale and speed that the world will come to marvel.
HOW TO TRADE CRYPTOCURRENCY: BITCOIN AND ETHEREUM CFD’S ON THE FOREX MARKET
Cryptocurrency Trading is easier than you think, and OctaFX provides a range of tools to make a profit from cryptocurrency into a reality. If you have any interest in trading and investment at all, it would be hard to miss that cryptocurrency tradingis the hottest ticket in the market at the moment. Cryptocurrencies such as Bitcoin, Ethereum, Litecoin and many others have excited investors with the possibility of substantial profits and a completely new way of thinking about what a currency is and how it works. What Exactly is a Cryptocurrency? Oddly enough, the first cryptocurrency, Bitcoin, didn’t start off to create a whole new way of thinking about currency, but as a technology to prevent the same amount of regular electronic cash being sent twice to two different people. The process of validating transactions to prevent this, via a system known as a blockchain, became known as mining, as those doing the validating received Bitcoins as a reward for validating traditional electronic transactions. These coins soon took on a value of their own, and have now become a trading juggernaut. What Do You Need to Know About Trading Cryptocurrency? Trading cryptocurrencies don’t require any specialist knowledge, and in fact, it’s not all that different to trading in Forex, commodities or many other markets. Despite its unusual nature, crypto still rises and falls like any other market, and is still subject to predictable external factors in a way that gives you the opportunity to make substantial profits. It’s especially easy to get into crypto with OctaFX because you can trade Bitcoin, Ethereum and Litecoin in MetaTrader 4 and 5, alongside Forex and commodities. You needn’t rely on guesswork to predict which cryptocurrencies are worth investing in and which aren’t, as our free Trading Signals plugin offers detailed technical analysis and some of the best crypto price predictions in the market. Low Costs and Buying Power A sensible approach to any sort of investment is to minimize initial outlay to maximize the potential for profit, especially one so volatile as investing in cryptocurrency. OctaFX will set you up well in this regard, by offering some of the lowest spreads in the business, and the opportunity to trade micro-lots as small as 0.01 lot, so you don’t need a huge initial outlay to profit from Bitcoin, Litecoin or Ethereum. OctaFX will also provide you with added muscle for your crypto trades with free leverage to maximize your profit potential, and there’s no commission to be paid for trading volume, and no deposit or withdrawal fees. Don’t Miss the Perfect Moment When investing in something quite so volatile as a cryptocurrency, maximizing your profits relies on buying and selling with pinpoint accuracy, at the second the market offers the most potential. OctaFX will allow you to do this thanks to some of the fastest execution on the market. Buy and sell for the price you see, with no delays, and make deposits and withdrawals instantly. Both fiat currencies and Bitcoin are accepted, without commission or delay, and the process is smooth and completely straightforward. OctaFX also maintains an excellent record of minimizing slippage, with 97.5% of all orders completed without any slippage at all. How to Predict the Biggest Cryptocurrencies’ Price? So now you’re fully briefed on trading cryptocurrencies, maybe you’d like to know a bit more about the currencies themselves. Three of the biggest, most volatile and most exciting are Bitcoin, Ethereum, and Litecoin. BITCOIN – THE DIGITAL GOLD Bitcoin is the first digital currency, created back in 2009. The main difference from traditional currencies (EUR, USD, JPY, etc) is that transactions are decentralized, highly secure, and what’s more, completely private. Bitcoin is one of the most volatile, discussed and popular instruments among cryptocurrencies. Bitcoin trading mainly happens on news, for example, a bullish trend before Bitcoin forks (this is the separation of Bitcoin when cryptocurrency owners get part of a new crypto). A bearish trend is usually seen after news regarding the ban of Bitcoin in some countries (China, for example). Bitcoin can be easily predicted using technical analysis figures, making your trading more profitable. Bitcoin is the most profitable instrument for trading in USD. Right now, the leverage for Bitcoin and other cryptocurrencies at OctaFX is set to 1:2, which is more than enough considering the high volatility of that instrument. Apart from that, you also can trade Bitcoin in micro lots (0.01) which allows planning your trading budget effectively. OctaFX sets the amount of 1 lot to 1 Bitcoin, which is comparatively low and requires less investment. ETHEREUM – INVEST IN THE FUTURE Ethereum is the second most interesting instrument to trade in USD. Nowadays there are more and more ways to buy Ethereum for fiat without changing it into Bitcoins. That means that the price of Ethereum is now less dependent on the Bitcoin price compared to other cryptocurrencies. It can be considered an independent instrument. Ethereum is a system to support smart contract technologies to invest in the ICOs of new start-up companies. The more start-ups are interested in Ethereum – the more expensive it becomes. To analyze the price of the Ethereum it’s wise to research how many ICO contracts are about to be issued in exchange for Ethereum. Compare results with existing data – the more contracts, the higher the price. It’s also good to pay attention to news about other cryptocurrencies supporting ICOs and competing with Ethereum. The most important competitors are Waves and Bitshares. Technical analysis figures work well with Ethereum too. Combining that information with the Ethereum’s volatility of the last few months, Ethereum can sometimes lead to more profit than with Bitcoin. LITECOIN – CRYPTO SILVER Litecoin was first issued in 2011 and is quite similar to Bitcoin. If Bitcoin can be defined as the ‘gold’ of today’s cryptocurrencies, this makes Litecoin the ‘silver’. Litecoin provides secure and fast transactions inside the blockchain, with the ability to purchase goods on the internet. The main difference from Bitcoin (and the central benefit of Litecoin) is the capability of processing much higher volumes in one transaction. While Bitcoin can only have up to 21 million coins, Litecoin offers four times as many – 84 million. The Litecoin price now greatly depends on Bitcoin. That makes it possible to use the Pairs trading strategy with Bitcoin as the main currency to successfully forecast Litecoin changes. One lot at OctaFX equals 100 Litecoin. There’s currently a lot of talk around cryptocurrencies – some predict a fast rise and a dramatic fall, while others are confident that they are the currency of the future. Sounds interesting? You can keep reading the hottest news and best articles on cryptocurrency, but you’ll get much closer to understanding how it works by cryptocurrency trading. So what are you waiting for? Start getting profit from crypto right now! https://www.fxempire.com/news/article/trade-cryptocurrency-bitcoin-ethereum-cfds-forex-market-485383
Some of you may have read the AMA I did a month ago where I disclosed sensitive information about my performance to show the newer traders that it can be done and to answer their questions about improving their own trading. My goal is not to provide nor teach the methods of crystal ball analysis to the future direction of a currency but rather, to develop a reasonably sound strategy to trade the uncertainty. Due to the amount of new traders that have been active in the past two weeks, I would like to provide an update and also to touch on my thoughts for this week on the EUUSD. For people unfamiliar to me, disclosing my performance is just the most direct method I can think of to help establish some sort of credibility for them. It does make me feel a little weird but anyway:
Feel free to ask away about your trading and I will answer as best I can, if not, there are other more experienced traders available to cover my slack. EUUSD Trade Approach For The Next Four Weeks Let me show you a chart about sentiments of professional institutions, courtesy of DJFX. What does it tell us about these professional institutions? They are unsure. But overall the general consensus is that there will be a steady decline in the euro through till 2014. Much of the uncertainty stems from policy decisions, especially the banking union proposed by the ECB but is meeting objection from several member countries. One of the key issues in the proposal is the formation of an agency dubbed "Single Resolution Mechanism", whereby it forces creditors and shareholders to bear the losses instead of taxpayers. You can immediately see which group will object to it, and how markets are likely to react. On one hand, even if the banking union be established successfully, would it work? On the other hand, if nothing new is being done, the markets have no confidence. Despite having availability of cheap credit, lenders are still very cautious and businesses are not very confident. So for the time being, optimism lies on the cooperation of all the member countries with the ECB. This does not look to be achievable until 2014. So I still hold a short bias for the euro and prefer to sell on rallies. As advised against posting wall of texts, this is just an excerpt of a longer writeup where I discuss some technicals, more charts, and my personal trade strategy.
High risk investment advice for people with nothing to lose.
One of my hobbies is high risk investing. A better name for my personal investment strategy might be apocalyptic investing. I've had it happen twice now that a company I was dealing with collapsed the day after they sent me my money. -I'm not going to tell you what to invest in, because that's not really that interesting and as with any investment, as I could be horribly wrong. I would rather tell you what stupid mistakes to avoid. I will however tell you my rationale behind my own personal decisions. -Mainstream analysts are too optimistic. The conspiracy/very angry and disenfranchised/doomsday crowd tends to be too pessimistic and too optimistic about their own solutions. The golden mean lies somewhere in between. What you need to look for are valid holes that the very angry crowd manages to poke in mainstream projections for the future, as these are predictions that the market generally hasn't filtered out yet. Example, Paul Ehrlich had a valid point when commenting on the fact that we are running out of resources. His predictions were however simply about twenty years off. His own bias caused him to prematurely announce the end of the world. What this means for me in practice is that I seek to invest in fat tails, that is, extreme outcomes that are perceived as unlikely but whose effects are extreme. As humans we fail to anticipate extremely disrupting events, we have a bias in favor of business as usual. When we do see an extremely disrupting event on the horizon, we tend to look for excuses to deny the threat in front of us. This is especially true for the majority of large actors on the market, people who are invested in the status quo and expect solid yearly returns, when a market is predominantly composed of such people, inefficiencies show up, especially as pessimistic people generally don't have the amount of wealth to fix such inefficiencies in the market. Mark Spitznagel pioneered this approach to investment. It's a form of investing where radical environmentalism, libertarianism and paranoia intersect (kind of like this username I guess). It's not a very popular style of investing, as it only appeals to people who should probably be on Prozac for their own good. By staying obscure it manages to stay profitable, which brings us to the first point: -The wise man does at once what the fool does finally. This is true for most investments. When everyone's talking about it it's time to get out. -Daytrading Forex is gambling, and gambling is a tax on idiots. Not going to waste anymore words on that. -If something is heavily promoted it's because those doing the promoting profit from it, not you. Example, Forex. Why do you see ads everywhere telling people to trade daily price moves on USD/JPY or USD/EUR etcetera? Because that's how brokers make money. Many people making many trades daily allows them to charge for every single trade. It's a massive scam and I would really urge everyone to stay out of it. -Most technical analysis is bunk, avoid it. The irony is that the technical analysis that isn't bunk becomes bunk, because the market will correct itself for it. Such daily inefficiencies are mostly fixed by high frequency trading algorithms and experts at professional banks. -The efficient market hypothesis is bunk too. Market inefficiencies do happen. The efficient market hypothesis is not consensus among economists at all and especially since the start of the great never-ending recession it has come under attack, as governments had too much faith in the market as a self-regulating complex system. Companies pursue never-ending growth of their activities, bet on their success in pursuing such never-ending growth and when they turn out to be wrong hope to be bailed out. -Efficient market hypothesis proponents believe that sticking your money in an index fund is practically always the best decision. Problem being that was true in most of the past, but it has also been awfully wrong at times. There have been plenty of times where you had to wait twenty years or more to see your money back. In the current situation, sticking your money in the SP 500 seems a very poor decision. Mark Spitznagel tells people that the best decision regular folks can make now is to simply step out of the market and I think he's right.
Day Trading EUR/USD, M5 Chart Analysis +1000% for One Month ST Patterns Step by Step (Forex, Forex trading, Forex Strategy, Futures Trading, Band 4) EUR/USD Fundamentals, Volume 2 (English Edition) EUR/USD Fundamentals, Volume 3 (English Edition) EUR/USD Fundamentals, Volume 1 (English Edition) I Think About Candlesticks Past My Bedtime: Trading Log Book Define your Goals, Record your ... Economies.com provides the latest technical analysis of the EUR/USD (Euro Dollar). You may find the analysis on a daily basis with forecasts for the global daily trend. You may also find live updates around the clock if any major changes occur in the currency pair. Forex. EUR USD Analysis: BTC USD analysis: NZD USD Analysis: GBP USD Analysis: USD JPY Analysis: USD CAD Analysis: USD CHF ... Name Art 5 Minuten 15 Minuten Stündlich Täglich; EUR/USD. 1,1819. Gleit. Mittelwerte: Stark Kaufen: Kaufen: Kaufen: Stark Kaufen: Indikatoren: Kaufen: Kaufen: Kaufen Get live updates on the EUR/USD rate with the interactive chart. Read the latest EUR/USD forecasts, news and analysis provided by the DailyFX team. EUR/USD : German IFO below estimates Jean-Christophe Rolland September 24, 2020 4:30 AM The German business climate slightly bounced but less than expected. Share: German IFO business climate index increased to 93.4 in September from 92.5 in August but remained below expectations. The sub-indexes regarding expectations and current assessment did the same move. From a technical point of view ... EUR/USD lacks clear directional bias above 1.1800, sticking to Tuesday's 63-pip range. Renewed signs of German economic slowdown post downside risks to the single currency. ECB's Lagarde is likely ... Get a EUR USD forecast recommendation - strong Buy, Buy, strong Sell, Sell or Neutral signals and gain access to a detailed EUR USD technical analysis through moving averages buy/sell signals ... Day Trading EUR/USD, M5 Chart Analysis +1000% for One Month ST Patterns Step by Step (Forex, Forex trading, Forex Strategy, Futures Trading, Band 4) EUR/USD Fundamentals, Volume 2 (English Edition) EUR/USD Fundamentals, Volume 3 (English Edition) EUR/USD Fundamentals, Volume 1 (English Edition) I Think About Candlesticks Past My Bedtime: Trading Log Book Define your Goals, Record your ... Interesting facts. EUR/USD is one of the most traded currency pairs in the world. It represents the value of the US dollar per one euro. The euro is a relativity new currency when compared with the other majors, it was established by the provisions in the 1992 Maastricht Treaty and is managed by the European Central Bank (ECB) and the Eurosystem (comprised of the central banks of the eurozone). Forex eur usd - Der absolute Gewinner . Hallo und Herzlich Willkommen auf unserer Seite. Wir als Seitenbetreiber haben uns dem Lebensziel angenommen, Ware verschiedenster Art ausführlichst auf Herz und Nieren zu überprüfen, damit Endverbraucher ganz einfach den Forex eur usd gönnen können, den Sie zuhause möchten.
How to trade the EUR/USD: Tips & Trading Strategies - YouTube
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