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H1 Backtest of ParallaxFX's BBStoch system
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: $6,036.51
Live Trading Results
I started live-trading this system on 8/10, and almost immediately had a string of losses much longer than either my backtest or demo period. Murphy's law huh? Anyways, that has me spooked so I'm doing a longer backtest before I start risking more real money. It's going to take me a little while due to the volume of trades, but I'll likely make a new post once I feel comfortable with that and start live trading again.
PART 2 : https://www.reddit.com/wallstreetbets/comments/g0sd44/what_is_the_bottom/ PART 3: https://www.reddit.com/wallstreetbets/comments/g2enz2/why_the_printer_must_continue/ Edit: By popular demand, the too long didn't read is now at the top TL;DR SPY 220p 11/20 This will likely be a multi-part series. It should be noted that I am no expert by any means, I'm actually quite new to this, it is just an elementary analysis of patterns in price and time. I am not a financial advisor, and this is not advice for a person to enter trades upon. The fundamental divide in trading revolves around the question of market structure. Many feel that the market operates totally randomly and its’ behavior cannot be predicted. For the purposes of this DD, we will assume that the market has a structure, but that that structure is not perfect. That market structure naturally generates chart patterns as the market records prices in time. We will analyze an instrument, an exchange traded fund, which represents an index, as opposed to a particular stock. The price patterns of the various stocks in an index are effectively smoothed out. In doing so, a more technical picture arises. Perhaps the most popular of these is the SPDR S&P Standard and Poor 500 Exchange Traded Fund ($SPY). In trading, little to no concern is given about value of underlying asset. We concerned primarily about liquidity and trading ranges, which are the amount of value fluctuating on a short-term basis, as measured by volatility-implied trading ranges. Fundamental analysis plays a role, however markets often do not react to real-world factors in a logical fashion. Therefore, fundamental analysis is more appropriate for long-term investing. The fundamental derivatives of a chart are time (x-axis) and price (y-axis). The primary technical indicator is price, as everything else is lagging in the past. Price represents current asking price and incorrectly implementing positions based on price is one of the biggest trading errors. Markets ordinarily have noise, their tendency to back-and-fill, which must be filtered out for true pattern recognition. That noise does have a utility, however, in allowing traders second chances to enter favorable positions at slightly less favorable entry points. When you have any market with enough liquidity for historical data to record a pattern, then a structure can be divined. The market probes prices as part of an ongoing price-discovery process. Market technicians must sometimes look outside of the technical realm and use visual inspection to ascertain the relevance of certain patterns, using a qualitative eye that recognizes the underlying quantitative nature Markets rise slower than they correct, however they rise much more than they fall. In the same vein, instruments can only fall to having no worth, whereas they could theoretically grow infinitely and have continued to grow over time. Money in a fiat system is illusory. It is a fundamentally synthetic instrument which has no intrinsic value. Hence, the recent seemingly illogical fluctuations in the market. According to trade theory, the unending purpose of a market is to create and break price ranges according to the laws of supply and demand. We must determine when to trade based on each market inflection point as defined in price and in time as opposed to abandoning the trend (as the contrarian trading in this sub often does). Time and Price symmetry must be used to be in accordance with the trend. When coupled with a favorable risk to reward ratio, the ability to stay in the market for most of the defined time period, and adherence to risk management rules; the trader has a solid methodology for achieving considerable gains. We will engage in a longer term market-oriented analysis to avoid any time-focused pressure. The market is technically open 24-hours a day, so trading may be done when the individual is ready, without any pressing need to be constantly alert. Let alone, we can safely project months in advance with relatively high accuracy. Some important terms to keep in mind: § Discrete – terminal points at the extremes of ranges § Secondary Discrete – quantified retracement or correction between two discrete § Longs (asset appreciation) and shorts (asset depreciation)
- Technical indicators are often considered self-fulfilling prophecies due to mass-market psychology gravitating towards certain common numbers yielded from them. That means a trader must be especially aware of these numbers as they can prognosticate market movements. Often, they are meaningless in the larger picture of things. § Volume – derived from the market itself, it is mostly irrelevant. The major problem with volume is that the US market open causes tremendous volume surges eradicating any intrinsic volume analysis. At major highs and lows, the market is typically anemic. Most traders are not active at terminal discretes because of levels of fear. Allows us confidence in time and price symmetry market inflection points, if we observe low volume at a foretold range of values. We can rationalize that an absolute discrete is usually only discovered and anticipated by very few traders. As the general market realizes it, a herd mentality will push the market in the direction favorable to defending it. Volume is also useful for swing trading, as chances for swing’s validity increases if an increase in volume is seen on and after the swing’s activation. Therefore, due to the relatively high volume on the 23rd of March, we can safely determine that a low WAS NOT reached. § VIX – Volatility Index, this technical indicator indicates level of fear by the amount of options-based “insurance” in portfolios. A low VIX environment, less than 20 for the S&P index, indicates a stable market with a possible uptrend. A high VIX, over 20, indicates a possible downtrend. However, it is equally important to see how VIX is changing over time, if it is decreasing or increasing, as that indicates increasing or decreasing fear. Low volatility allows high leverage without risk or rest. Occasionally, markets do rise with high VIX. As VIX is unusually high, in the forties, we can be confident that a downtrend is imminent.
Trend Definition Analysis
– Trend definition is highly powerful, cannot be understated. Knowledge of trend logic is enough to be a profitable trader, yet defining a trend is an arduous process. Multiple trends coexist across multiple time frames and across multiple market sectors. Like time structure, it makes the underlying price of the instrument irrelevant. Trend definitions cannot determine the validity of newly formed discretes. Trend becomes apparent when trades based in counter-trend inflection points continue to fail. Downtrends are defined as an instrument making lower lows and lower highs that are recurrent, additive, qualified swing setups. Downtrends for all instruments are similar, except forex. They are fast and complete much quicker than uptrends. An average downtrend is 18 months, something which we will return to. An uptrend inception occurs when an instrument reaches a point where it fails to make a new low, then that low will be tested. After that, the instrument will either have a deep range retracement or it may take out the low slightly, resulting in a double-bottom. A swing must eventually form. A simple way to roughly determine trend is to attempt to draw a line from three tops going upwards (uptrend) or a line from three bottoms going downwards (downtrend). It is not possible to correctly draw an uptrend line on the SPY chart, but it is possible to correctly draw a downtrend – indicating that the overall trend is downwards.
Now that we have determined that the overall trend is downwards, the next issue is the question of when SPY will bottom out. Time is the movement from the past through the present into the future. It is a measurement in quantified intervals. In many ways, our perception of it is a human construct. It is more powerful than price as time may be utilized for a trade regardless of the market inflection point’s price. Were it possible to perfectly understand time, price would be totally irrelevant due to the predictive certainty time affords. Time structure is easier to learn than price, but much more difficult to apply with any accuracy. It is the hardest aspect of trading to learn, but also the most rewarding. Humans do not have the ability to recognize every time window, however the ability to define market inflection points in terms of time is the single most powerful trading edge. Regardless, price should not be abandoned for time alone. Time structure analysis It is inherently flawed, as such the markets have a fail-safe, which is Price Structure. Even though Time is much more powerful, Price Structure should never be completely ignored. Time is the qualifier for Price and vice versa. Time can fail by tricking traders into counter-trend trading. Time is a predestined trade quantifier, a filter to slow trades down, as it allows a trader to specifically focus on specific time windows and rest at others. It allows for quantitative measurements to reach deterministic values and is the primary qualifier for trends. Time structure should be utilized before price structure, and it is the primary trade criterion which requires support from price. We can see price structure on a chart, as areas of mathematical support or resistance, but we cannot see time structure. Time may be used to tell us an exact point in the future where the market will inflect, after Price Theory has been fulfilled. In the present, price objectives based on price theory added to possible future times for market inflection points give us the exact time of market inflection points and price. Time Structure is repetitions of time or inherent cycles of time, occurring in a methodical way to provide time windows which may be utilized for inflection points. They are not easily recognized and not easily defined by a price chart as measuring and observing time is very exact. Time structure is not a science, yet it does require precise measurements. Nothing is certain or definite. The critical question must be if a particular approach to time structure is currently lucrative or not. We will complete our analysis of time by measuring it in intervals of 180 bars. Our goal is to determine time windows, when the market will react and when we should pay the most attention. By using time repetitions, the fact that market inflection points occurred at some point in the past and should, therefore, reoccur at some point in the future, we should obtain confidence as to when SPY will reach a market inflection point. Time repetitions are essentially the market’s memory. However, simply measuring the time between two points then trying to extrapolate into the future does not work. Measuring time is not the same as defining time repetitions. We will evaluate past sessions for market inflection points, whether discretes, qualified swings, or intra-range. Then records the times that the market has made highs or lows in a comparable time period to the future one seeks to trade in. What follows is a time Histogram – A grouping of times which appear close together, then segregated based on that closeness. Time is aligned into combined histogram of repetitions and cycles, however cycles are irrelevant on a daily basis. If trading on an hourly basis, do not use hours. Yearly Lows: 12/31/2000, 9/21/2001, 10/9/2002, 3/11/2003, 8/2/2004, 4/15/2005, 6/12/2006, 3/5/2007, 11/17/2008, 3/9/2009, 7/2/10, 10/3/11, 1/1/12, 1/1/13, 2/3/14, 9/28/15, 2/8/16, 1/3/17, 12/24/18, 6/3/19 Months: 1, 1, 1, 2, 2, 3, 3, 3, 4, 6, 6, 7, 8, 9, 9, 10, 10, 11, 12, 12 Days: 1, 1, 2, 2, 3, 3, 3, 3, 5, 8, 9, 9, 11, 12, 15, 17, 21, 24, 28, 31 Monthly Lows:3/23, 2/28, 1/27, 12/3, 11/1, 10/2, 9/3, 8/5, 7/1, 6/3, 5/31, 4/1 Days: 1, 1, 1, 2, 3, 3, 3, 5, 23, 27, 27, 31 Weighted Times are repetitions which appears multiple times within the same list, observed and accentuated once divided into relevant sections of the histogram. They are important in the presently defined trading time period and are similar to a mathematical mode with respect to a series. Phased times are essentially periodical patterns in histograms, though they do not guarantee inflection points*.* We see that SPY tends to have its lows between three major month clusters: 1-4, primarily March (which has actually occurred already this year), 6-9, averaged out to July, and 10-12, averaged out to November. Following the same methodology, we get the third and tenth days of the month as the likeliest days. However, evaluating the monthly lows for the past year, the end of the month has replaced the average of the tenth. Therefore, we have four primary dates for our histogram. 7/3/20, 7/27/20, and 11/3/20, 11/27/20 . How do we narrow this group down with any accuracy? Let us average the days together to work with two dates - 7/15/20 and 11/15/20. The 8.6-Year Armstrong-Princeton Global Economic Confidence model – states that 2.15 year intervals occur between corrections, relevant highs and lows. 2.15 years from the all-time peak discrete is April 14th of 2022. However, we can time-shift to other peaks and troughs to determine a date for this year. If we consider 1/28/2018 as a localized high and apply this model, we get 3/23/20 as a low - strikingly accurate. I have chosen the next localized high, 9/21/2018 to apply the model to. We achieve a date of 11/14/2020. The average bear market is eighteen months long, giving us a date of August 19th, 2021 for the end of the bear market - roughly speaking. Therefore, our timeline looks like:
11/14/20 - yearly low (selected from histogram averages, 11/15/20, and the 8.6 Year Confidence model)
7/28/21 - End of bear market (18 month average of 8/9, averaged with histogram date of 7/15)
4/14/22 - lesser correction.
As we move forward in time, our predictions may be less accurate. It is important to keep in mind that this analysis will likely change and become more accurate as we factor in Terry Laundry’s T-Theory, the Bradley Cycle, a more sophisticated analysis of Bull and Bear Market Cycles, the Fundamental Investor Cyclic Approach, and Seasons and Half-Seasons. I have also assumed that the audience believes in these models, which is not necessary. Anyone with free time may construct histograms and view these time models, determining for themselves what is accurate and what is not. Take a look at 1/28/2008, that localized high, and 2.15 years (1/4th of the sinusoidal wave of the model) later. The question now is, what prices will SPY reach on 11/14? Where will we be at 7/28? What will happen on 4/14/22?
﷽ The Federal Reserve and the United States government are pumping extreme amounts of money into the economy, already totaling over $484 billion. They are doing so because it already had a goal to inflate the United States Dollar (USD) so that the market can continue to all-time highs. It has always had this goal. They do not care how much inflation goes up by now as we are going into a depression with the potential to totally crash the US economy forever. They believe the only way to save the market from going to zero or negative values is to inflate it so much that it cannot possibly crash that low. Even if the market does not dip that low, inflation serves the interest of powerful people. The impending crash of the stock market has ramifications for Bitcoin, as, though there is no direct ongoing-correlation between the two, major movements in traditional markets will necessarily affect Bitcoin. According to the Blockchain Center’s Cryptocurrency Correlation Tool, Bitcoin is not correlated with the stock market. However, when major market movements occur, they send ripples throughout the financial ecosystem which necessary affect even ordinarily uncorrelated assets. Therefore, Bitcoin will reach X price on X date after crashing to a price of X by X date.
Stock Market Crash
The Federal Reserve has caused some serious consternation with their release of ridiculous amounts of money in an attempt to buoy the economy. At face value, it does not seem to have any rationale or logic behind it other than keeping the economy afloat long enough for individuals to profit financially and politically. However, there is an underlying basis to what is going on which is important to understand in order to profit financially. All markets are functionally price probing systems. They constantly undergo a price-discovery process. In a fiat system, money is an illusory and a fundamentally synthetic instrument with no intrinsic value – similar to Bitcoin. The primary difference between Bitcoin is the underlying technology which provides a slew of benefits that fiat does not. Fiat, however, has an advantage in being able to have the support of powerful nation-states which can use their might to insure the currency’s prosperity. Traditional stock markets are composed of indices (pl. of index). Indices are non-trading market instruments which are essentially summaries of business values which comprise them. They are continuously recalculated throughout a trading day, and sometimes reflected through tradable instruments such as Exchange Traded Funds or Futures. Indices are weighted by market capitalizations of various businesses. Price theory essentially states that when a market fails to take out a new low in a given range, it will have an objective to take out the high. When a market fails to take out a new high, it has an objective to make a new low. This is why price-time charts go up and down, as it does this on a second-by-second, minute-by-minute, day-by-day, and even century-by-century basis. Therefore, market indices will always return to some type of bull market as, once a true low is formed, the market will have a price objective to take out a new high outside of its’ given range – which is an all-time high. Instruments can only functionally fall to zero, whereas they can grow infinitely. So, why inflate the economy so much? Deflation is disastrous for central banks and markets as it raises the possibility of producing an overall price objective of zero or negative values. Therefore, under a fractional reserve system with a fiat currency managed by a central bank – the goal of the central bank is to depreciate the currency. The dollar is manipulated constantly with the intention of depreciating its’ value. Central banks have a goal of continued inflated fiat values. They tend to ordinarily contain it at less than ten percent (10%) per annum in order for the psyche of the general populace to slowly adjust price increases. As such, the markets are divorced from any other logic. Economic policy is the maintenance of human egos, not catering to fundamental analysis. Gross Domestic Product (GDP) growth is well-known not to be a measure of actual growth or output. It is a measure of increase in dollars processed. Banks seek to produce raising numbers which make society feel like it is growing economically, making people optimistic. To do so, the currency is inflated, though inflation itself does not actually increase growth. When society is optimistic, it spends and engages in business – resulting in actual growth. It also encourages people to take on credit and debts, creating more fictional fiat. Inflation is necessary for markets to continue to reach new heights, generating positive emotional responses from the populace, encouraging spending, encouraging debt intake, further inflating the currency, and increasing the sale of government bonds. The fiat system only survives by generating more imaginary money on a regular basis. Bitcoin investors may profit from this by realizing that stock investors as a whole always stand to profit from the market so long as it is managed by a central bank and does not collapse entirely. If those elements are filled, it has an unending price objective to raise to new heights. It also allows us to realize that this response indicates that the higher-ups believe that the economy could crash in entirety, and it may be wise for investors to have multiple well-thought-out exit strategies.
Economic Analysis of Bitcoin
The reason why the Fed is so aggressively inflating the economy is due to fears that it will collapse forever or never rebound. As such, coupled with a global depression, a huge demand will appear for a reserve currency which is fundamentally different than the previous system. Bitcoin, though a currency or asset, is also a market. It also undergoes a constant price-probing process. Unlike traditional markets, Bitcoin has the exact opposite goal. Bitcoin seeks to appreciate in value and not depreciate. This has a quite different affect in that Bitcoin could potentially become worthless and have a price objective of zero. Bitcoin was created in 2008 by a now famous mysterious figure known as Satoshi Nakamoto and its’ open source code was released in 2009. It was the first decentralized cryptocurrency to utilize a novel protocol known as the blockchain. Up to one megabyte of data may be sent with each transaction. It is decentralized, anonymous, transparent, easy to set-up, and provides myriad other benefits. Bitcoin is not backed up by anything other than its’ own technology. Bitcoin is can never be expected to collapse as a framework, even were it to become worthless. The stock market has the potential to collapse in entirety, whereas, as long as the internet exists, Bitcoin will be a functional system with a self-authenticating framework. That capacity to persist regardless of the actual price of Bitcoin and the deflationary nature of Bitcoin means that it has something which fiat does not – inherent value. Bitcoin is based on a distributed database known as the “blockchain.” Blockchains are essentially decentralized virtual ledger books, replete with pages known as “blocks.” Each page in a ledger is composed of paragraph entries, which are the actual transactions in the block. Blockchains store information in the form of numerical transactions, which are just numbers. We can consider these numbers digital assets, such as Bitcoin. The data in a blockchain is immutable and recorded only by consensus-based algorithms. Bitcoin is cryptographic and all transactions are direct, without intermediary, peer-to-peer. Bitcoin does not require trust in a central bank. It requires trust on the technology behind it, which is open-source and may be evaluated by anyone at any time. Furthermore, it is impossible to manipulate as doing so would require all of the nodes in the network to be hacked at once – unlike the stock market which is manipulated by the government and “Market Makers”. Bitcoin is also private in that, though the ledge is openly distributed, it is encrypted. Bitcoin’s blockchain has one of the greatest redundancy and information disaster recovery systems ever developed. Bitcoin has a distributed governance model in that it is controlled by its’ users. There is no need to trust a payment processor or bank, or even to pay fees to such entities. There are also no third-party fees for transaction processing. As the ledge is immutable and transparent it is never possible to change it – the data on the blockchain is permanent. The system is not easily susceptible to attacks as it is widely distributed. Furthermore, as users of Bitcoin have their private keys assigned to their transactions, they are virtually impossible to fake. No lengthy verification, reconciliation, nor clearing process exists with Bitcoin. Bitcoin is based on a proof-of-work algorithm. Every transaction on the network has an associated mathetical “puzzle”. Computers known as miners compete to solve the complex cryptographic hash algorithm that comprises that puzzle. The solution is proof that the miner engaged in sufficient work. The puzzle is known as a nonce, a number used only once. There is only one major nonce at a time and it issues 12.5 Bitcoin. Once it is solved, the fact that the nonce has been solved is made public. A block is mined on average of once every ten minutes. However, the blockchain checks every 2,016,000 minutes (approximately four years) if 201,600 blocks were mined. If it was faster, it increases difficulty by half, thereby deflating Bitcoin. If it was slower, it decreases, thereby inflating Bitcoin. It will continue to do this until zero Bitcoin are issued, projected at the year 2140. On the twelfth of May, 2020, the blockchain will halve the amount of Bitcoin issued when each nonce is guessed. When Bitcoin was first created, fifty were issued per block as a reward to miners. 6.25 BTC will be issued from that point on once each nonce is solved. Unlike fiat, Bitcoin is a deflationary currency. As BTC becomes scarcer, demand for it will increase, also raising the price. In this, BTC is similar to gold. It is predictable in its’ output, unlike the USD, as it is based on a programmed supply. We can predict BTC’s deflation and inflation almost exactly, if not exactly. Only 21 million BTC will ever be produced, unless the entire network concedes to change the protocol – which is highly unlikely. Some of the drawbacks to BTC include congestion. At peak congestion, it may take an entire day to process a Bitcoin transaction as only three to five transactions may be processed per second. Receiving priority on a payment may cost up to the equivalent of twenty dollars ($20). Bitcoin mining consumes enough energy in one day to power a single-family home for an entire week.
Trading or Investing?
The fundamental divide in trading revolves around the question of market structure. Many feel that the market operates totally randomly and its’ behavior cannot be predicted. For the purposes of this article, we will assume that the market has a structure, but that that structure is not perfect. That market structure naturally generates chart patterns as the market records prices in time. In order to determine when the stock market will crash, causing a major decline in BTC price, we will analyze an instrument, an exchange traded fund, which represents an index, as opposed to a particular stock. The price patterns of the various stocks in an index are effectively smoothed out. In doing so, a more technical picture arises. Perhaps the most popular of these is the SPDR S&P Standard and Poor 500 Exchange Traded Fund ($SPY). In trading, little to no concern is given about value of underlying asset. We are concerned primarily about liquidity and trading ranges, which are the amount of value fluctuating on a short-term basis, as measured by volatility-implied trading ranges. Fundamental analysis plays a role, however markets often do not react to real-world factors in a logical fashion. Therefore, fundamental analysis is more appropriate for long-term investing. The fundamental derivatives of a chart are time (x-axis) and price (y-axis). The primary technical indicator is price, as everything else is lagging in the past. Price represents current asking price and incorrectly implementing positions based on price is one of the biggest trading errors. Markets and currencies ordinarily have noise, their tendency to back-and-fill, which must be filtered out for true pattern recognition. That noise does have a utility, however, in allowing traders second chances to enter favorable positions at slightly less favorable entry points. When you have any market with enough liquidity for historical data to record a pattern, then a structure can be divined. The market probes prices as part of an ongoing price-discovery process. Market technicians must sometimes look outside of the technical realm and use visual inspection to ascertain the relevance of certain patterns, using a qualitative eye that recognizes the underlying quantitative nature Markets and instruments rise slower than they correct, however they rise much more than they fall. In the same vein, instruments can only fall to having no worth, whereas they could theoretically grow infinitely and have continued to grow over time. Money in a fiat system is illusory. It is a fundamentally synthetic instrument which has no intrinsic value. Hence, the recent seemingly illogical fluctuations in the market. According to trade theory, the unending purpose of a market or instrument is to create and break price ranges according to the laws of supply and demand. We must determine when to trade based on each market inflection point as defined in price and in time as opposed to abandoning the trend (as the contrarian trading in this sub often does). Time and Price symmetry must be used to be in accordance with the trend. When coupled with a favorable risk to reward ratio, the ability to stay in the market for most of the defined time period, and adherence to risk management rules; the trader has a solid methodology for achieving considerable gains. We will engage in a longer term market-oriented analysis to avoid any time-focused pressure. The Bitcoin market is open twenty-four-hours a day, so trading may be done when the individual is ready, without any pressing need to be constantly alert. Let alone, we can safely project months in advance with relatively high accuracy. Bitcoin is an asset which an individual can both trade and invest, however this article will be focused on trading due to the wide volatility in BTC prices over the short-term.
Technical Indicator Analysis of Bitcoin
Technical indicators are often considered self-fulfilling prophecies due to mass-market psychology gravitating towards certain common numbers yielded from them. They are also often discounted when it comes to BTC. That means a trader must be especially aware of these numbers as they can prognosticate market movements. Often, they are meaningless in the larger picture of things.
Volume – derived from the market itself, it is mostly irrelevant. The major problem with volume for stocks is that the US market open causes tremendous volume surges eradicating any intrinsic volume analysis. This does not occur with BTC, as it is open twenty-four-seven. At major highs and lows, the market is typically anemic. Most traders are not active at terminal discretes (peaks and troughs) because of levels of fear. Volume allows us confidence in time and price symmetry market inflection points, if we observe low volume at a foretold range of values. We can rationalize that an absolute discrete is usually only discovered and anticipated by very few traders. As the general market realizes it, a herd mentality will push the market in the direction favorable to defending it. Volume is also useful for swing trading, as chances for swing’s validity increases if an increase in volume is seen on and after the swing’s activation. Volume is steadily decreasing. Lows and highs are reached when volume is lower.
Therefore, due to the relatively high volume on the 12th of March, we can safely determine that a low for BTC was not reached.
VIX – Volatility Index, this technical indicator indicates level of fear by the amount of options-based “insurance” in portfolios. A low VIX environment, less than 20 for the S&P index, indicates a stable market with a possible uptrend. A high VIX, over 20, indicates a possible downtrend. VIX is essentially useless for BTC as BTC-based options do not exist. It allows us to predict the market low for $SPY, which will have an indirect impact on BTC in the short term, likely leading to the yearly low. However, it is equally important to see how VIX is changing over time, if it is decreasing or increasing, as that indicates increasing or decreasing fear. Low volatility allows high leverage without risk or rest. Occasionally, markets do rise with high VIX.
As VIX is unusually high, in the forties, we can be confident that a downtrend for the S&P 500 is imminent.
RSI (Relative Strength Index): The most important technical indicator, useful for determining highs and lows when time symmetry is not availing itself. Sometimes analysis of RSI can conflict in different time frames, easiest way to use it is when it is at extremes – either under 30 or over 70. Extremes can be used for filtering highs or lows based on time-and-price window calculations. Highly instructive as to major corrective clues and indicative of continued directional movement. Must determine if longer-term RSI values find support at same values as before. It is currently at 73.56.
Secondly, RSI may be used as a high or low filter, to observe the level that short-term RSI reaches in counter-trend corrections. Repetitions based on market movements based on RSI determine how long a trade should be held onto. Once a short term RSI reaches an extreme and stay there, the other RSI’s should gradually reach the same extremes. Once all RSI’s are at extreme highs, a trend confirmation should occur and RSI’s should drop to their midpoint.
Trend Definition Analysis of Bitcoin
Trend definition is highly powerful, cannot be understated. Knowledge of trend logic is enough to be a profitable trader, yet defining a trend is an arduous process. Multiple trends coexist across multiple time frames and across multiple market sectors. Like time structure, it makes the underlying price of the instrument irrelevant. Trend definitions cannot determine the validity of newly formed discretes. Trend becomes apparent when trades based in counter-trend inflection points continue to fail. Downtrends are defined as an instrument making lower lows and lower highs that are recurrent, additive, qualified swing setups. Downtrends for all instruments are similar, except forex. They are fast and complete much quicker than uptrends. An average downtrend is 18 months, something which we will return to. An uptrend inception occurs when an instrument reaches a point where it fails to make a new low, then that low will be tested. After that, the instrument will either have a deep range retracement or it may take out the low slightly, resulting in a double-bottom. A swing must eventually form. A simple way to roughly determine trend is to attempt to draw a line from three tops going upwards (uptrend) or a line from three bottoms going downwards (downtrend). It is not possible to correctly draw a downtrend line on the BTC chart, but it is possible to correctly draw an uptrend – indicating that the overall trend is downwards. The only mitigating factor is the impending stock market crash.
Time Symmetry Analysis of Bitcoin
Time is the movement from the past through the present into the future. It is a measurement in quantified intervals. In many ways, our perception of it is a human construct. It is more powerful than price as time may be utilized for a trade regardless of the market inflection point’s price. Were it possible to perfectly understand time, price would be totally irrelevant due to the predictive certainty time affords. Time structure is easier to learn than price, but much more difficult to apply with any accuracy. It is the hardest aspect of trading to learn, but also the most rewarding. Humans do not have the ability to recognize every time window, however the ability to define market inflection points in terms of time is the single most powerful trading edge. Regardless, price should not be abandoned for time alone. Time structure analysis It is inherently flawed, as such the markets have a fail-safe, which is Price Structure. Even though Time is much more powerful, Price Structure should never be completely ignored. Time is the qualifier for Price and vice versa. Time can fail by tricking traders into counter-trend trading. Time is a predestined trade quantifier, a filter to slow trades down, as it allows a trader to specifically focus on specific time windows and rest at others. It allows for quantitative measurements to reach deterministic values and is the primary qualifier for trends. Time structure should be utilized before price structure, and it is the primary trade criterion which requires support from price. We can see price structure on a chart, as areas of mathematical support or resistance, but we cannot see time structure. Time may be used to tell us an exact point in the future where the market will inflect, after Price Theory has been fulfilled. In the present, price objectives based on price theory added to possible future times for market inflection points give us the exact time of market inflection points and price. Time Structure is repetitions of time or inherent cycles of time, occurring in a methodical way to provide time windows which may be utilized for inflection points. They are not easily recognized and not easily defined by a price chart as measuring and observing time is very exact. Time structure is not a science, yet it does require precise measurements. Nothing is certain or definite. The critical question must be if a particular approach to time structure is currently lucrative or not. We will measure it in intervals of 180 bars. Our goal is to determine time windows, when the market will react and when we should pay the most attention. By using time repetitions, the fact that market inflection points occurred at some point in the past and should, therefore, reoccur at some point in the future, we should obtain confidence as to when SPY will reach a market inflection point. Time repetitions are essentially the market’s memory. However, simply measuring the time between two points then trying to extrapolate into the future does not work. Measuring time is not the same as defining time repetitions. We will evaluate past sessions for market inflection points, whether discretes, qualified swings, or intra-range. Then records the times that the market has made highs or lows in a comparable time period to the future one seeks to trade in. What follows is a time Histogram – A grouping of times which appear close together, then segregated based on that closeness. Time is aligned into combined histogram of repetitions and cycles, however cycles are irrelevant on a daily basis. If trading on an hourly basis, do not use hours.
Daily Lows Mode for those Months: 1, 1, 2, 4, 12, 17, 18, 24, 25, 28, 29, 30
Hourly Lows Mode for those Months (Military time): 0100, 0200, 0200, 0400, 0700, 0700, 0800, 1200, 1200, 1700, 2000, 2200
Minute Lows Mode for those Months: 00, 00, 00, 00, 00, 00, 09, 09, 59, 59, 59, 59
Day of the Week Lows (last twenty-six weeks):
Weighted Times are repetitions which appears multiple times within the same list, observed and accentuated once divided into relevant sections of the histogram. They are important in the presently defined trading time period and are similar to a mathematical mode with respect to a series. Phased times are essentially periodical patterns in histograms, though they do not guarantee inflection points Evaluating the yearly lows, we see that BTC tends to have its lows primarily at the beginning of every year, with a possibility of it being at the end of the year. Following the same methodology, we get the middle of the month as the likeliest day. However, evaluating the monthly lows for the past year, the beginning and end of the month are more likely for lows. Therefore, we have two primary dates from our histogram. 1/1/21, 1/15/21, and 1/29/21 2:00am, 8:00am, 12:00pm, or 10:00pm In fact, the high for this year was February the 14th, only thirty days off from our histogram calculations. The 8.6-Year Armstrong-Princeton Global Economic Confidence model states that 2.15 year intervals occur between corrections, relevant highs and lows. 2.15 years from the all-time peak discrete is February 9, 2020 – a reasonably accurate depiction of the low for this year (which was on 3/12/20). (Taking only the Armstrong model into account, the next high should be Saturday, April 23, 2022). Therefore, the Armstrong model indicates that we have actually bottomed out for the year! Bear markets cannot exist in perpetuity whereas bull markets can. Bear markets will eventually have price objectives of zero, whereas bull markets can increase to infinity. It can occur for individual market instruments, but not markets as a whole. Since bull markets are defined by low volatility, they also last longer. Once a bull market is indicated, the trader can remain in a long position until a new high is reached, then switch to shorts. The average bear market is eighteen months long, giving us a date of August 19th, 2021 for the end of this bear market – roughly speaking. They cannot be shorter than fifteen months for a central-bank controlled market, which does not apply to Bitcoin. (Otherwise, it would continue until Sunday, September 12, 2021.) However, we should expect Bitcoin to experience its’ exponential growth after the stock market re-enters a bull market. Terry Laundy’s T-Theory implemented by measuring the time of an indicator from peak to trough, then using that to define a future time window. It is similar to an head-and-shoulders pattern in that it is the process of forming the right side from a synthetic technical indicator. If the indicator is making continued lows, then time is recalculated for defining the right side of the T. The date of the market inflection point may be a price or indicator inflection date, so it is not always exactly useful. It is better to make us aware of possible market inflection points, clustered with other data. It gives us an RSI low of May, 9th 2020. The Bradley Cycle is coupled with volatility allows start dates for campaigns or put options as insurance in portfolios for stocks. However, it is also useful for predicting market moves instead of terminal dates for discretes. Using dates which correspond to discretes, we can see how those dates correspond with changes in VIX. Therefore, our timeline looks like:
2/14/20 – yearly high ($10372 USD)
3/12/20 – yearly low thus far ($3858 USD)
5/9/20 – T-Theory true yearly low (BTC between 4863 and 3569)
-Pakistan to be out of FATF's grey list by September, promises Central Bank Islamabad will strictly implement the requirements of the Financial Action Task Force (FATF) in order to get out of the money laundering grey list released by the Paris-based body, a senior official of Pakistan's Central Bank said on Wednesday. FATF had previously placed Pakistan on its watch list of countries that need to do more in relation to anti-money laundering and combating the financing of terrorism. "The FATF challenge has be to be addressed. Pakistan has mandated upon itself to enforce the FATF plan in letter and spirit. Whatever the requirements about the FATF plan are, they will be imposed and Pakistan will be out of grey list by September 2019. FATF is a risk but we are addressing it in the right letter and spirt," said Syed Irfan Ali, executive director for Banking Policy and Regulation Group at the State Bank of Pakistan. -NAB finds 'proof of massive money laundering' against Sharif family The Sharif family’s troubles seem set to worsen as reports suggest the National Accountability Bureau (NAB) has found evidence of massive money laundering through which Shehbaz Sharif and his family members accumulated assets in the United Kingdom. According to sources privy to NAB’s investigation, the illegally accumulated assets are worth Rs85 billion to Rs100 billion and were bought during Shehbaz’s tenure as Punjab chief minister. They said the evidence found was irrefutable and showed striking similarities with the money laundering and fake accounts case against former president Asif Ali Zardari and other Pakistan Peoples Party leaders. -US debunks Indian claims of shooting down PAF F-16 Indian claims of shooting down a Pakistan Air Force (PAF) F-16 on February 27 were debunked by US officials as all aircraft are accounted for. Pakistan invited US officials to physically count the F-16 planes after the incident. Some of the aircraft were not immediately available for inspection due to the conflict, so it took US personnel several weeks to account for all of the jets, one of the officials said. The report stated that two US defence officials with direct knowledge of the matter said US personnel had done a count of Pakistan’s F-16s and found none missing. -Finance minister rules out further rupee devaluation Finance Minister Asad Umar on Friday ruled out the need for further devaluation of the Pakistani rupee as the currency stands at equilibrium. “The International Monetary Fund (IMF) has made no demand for rupee devaluation,” Umar clarified categorically while addressing at Pakistan Stock Exchange (PSX) through online video conference. “Today, the State Bank of Pakistan (SBP) has clarified the rupee is standing at equilibrium,” he said. Dismissing reports of further devaluation, he added: “Stop circulating rumors that Asam Umar has said rupee would depreciate to 160 or 180.” -o For the Centre for Social Justice (CSJ) in Lahore, Christian children have the right to study the Bible, Hindu children have the right to study the Bhagavat Gita and Buddhist children have the right to study the Vedas. Together with the People’s Commission for Minorities Rights (PCMR), the CSJ held a conference on 29 March in which they adopted a resolution entitled ‘Right to education without discrimination’ demanding the right of minorities to teach their own religion in schools, as guaranteed by Article 22 of the Pakistani Constitution. Currently, only Islam is taught in schools. -China’s BeiDou Navigation System Will be Able to Replace GPS in Pakistan Soon Pakistani military reliance on the US-owned Global Positioning System (GPS) will be reduced after the use of China’s Beidou satellite navigation system which is projected to achieve global coverage by 2020. This was the crux of background discussions between former military officials and telecom experts. Beidou is the world’s fourth space-based navigation system, following GPS by the United States, GLONASS by Russia and Galileo by the European Union. According to experts, the satellite-based system plays a vital role in the modern world, especially during wartime. -PM Imran Khan announces unprecedented 10 years development package for tribal districts Prime Minister Imran Khan has announced a ten-year special development package for tribal districts. Addressing a big public meeting at Jamrud, Khyber district this evening, he said one hundred billion rupees will be spent on the development of tribal areas each year. He said health, education and sports facilities in tribal areas will be enhanced. -SBP’s Forex Reserves Cross the $10 Billion Mark The foreign exchange reserves of State Bank of Pakistan (SBP) have crossed the $10 billion mark by March-end. During the week that ended on 29 March 2019, SBP received inflows of RMB 15 billion (equivalent to US$2.2 billion) as proceeds of the loan obtained by the government of Pakistan from China. After taking into account outflows relating to external debt and other official payments, SBP reserves increased by $1.931 billion during the week. -Benami Properties: FBR takes an unprecedented step Federal Board of Revenue has established three Benami Zones at Karachi, Lahore and Islamabad for enforcement of Benami Transaction (Prohibition) Act, 2017. In a press release issued today (Thursday), it was said after examination of available information FBR Benami Zones Karachi and Lahore have issued show cause notices in six cases of Companies holding shares and immovable properties as Benamidar. -Ministry of Finance proposed to amend Foreign Exchange Regulations Act in Pakistan Ministry of Finance has proposed to amend the Foreign Exchange Regulations Act 1947 to prevent illegal foreign exchange transactions. Under the proposal, the previous act will be updated with an amendment act to empower the State Bank of Pakistan to regulate foreign exchange regime in the country more effectively. It said proposed amendment has been approved by the Federal Cabinet and transmitted to Parliament for enactment. The measure is a part of government's efforts to enhance the transparency of financial transactions. -KP government launches 'Pink Bus Service' exclusively for women Khyber Pakhtunkhwa government launched on Thursday ‘Pink Bus Service’ exclusively for women in Mardan. A spokesman of the project told our Peshawar correspondent that a total of seven Pink Buses will ply in Mardan. There are fifteen bus stops each facilitated with the solar panels. -Pakistan makes a new offer to Iran, FTA in works Pakistan has invited Iran for talks on a free trade agreement (FTA). Pakistan has proposed that talks could be held on April 23-24 in Pakistan. The report added that lack of direct banking channel between the two countries is the main hurdle in finalizing the free trade agreement. -Govt Mulling to Withdraw 10% FED on 1,700cc Vehicles: Abdul Razaq The government is considering to withdraw its decision of imposing 10% federal excise duty (FED) on cars with engine capacities exceeding 1,700cc. The Senate’s Standing Committee on Industries and Production, on Wednesday, was informed that the 10 percent FED imposed on locally manufactured cars and SUVs, having engine capacity exceeding 1,700cc, would be withdrawn soon. -Govt to Crackdown Against High Medicine Prices & Launch An Online Price Portal The federal government has ordered a crackdown against pharmaceutical companies that are illegally increasing medicine prices. Minister for National Health Services (NHS), Aamer Mehmood Kiani, ordered an operation against such firms on Wednesday. “Though the Drug Regulatory Authority of Pakistan (DRAP) deals with the matter, as a government representative, I consider myself responsible for providing relief to the masses and answerable to them. I am personally looking into the matter and would not tolerate an illegal and unauthorized increase in the prices of medicines,” the minister said. -Pakistan’s First Environment Friendly Food Festival to Start on 5th April To discourage single-use plastics and promote sustainable food consumption, WWF-Pakistan is organizing the country’s first environmental-friendly food festival in Karachi. The festival, ReFest, aims to reduce food waste and raise awareness about eating food in a responsible way as well as adopting sustainable practices in our daily lives such as reduced use of single-use plastics. The theme of the festival is to spread awareness about the cause and enjoy the festivals responsibly, as per WWF, festivals were one of the reasons of over-littering due to massive use of single-use plastic in food festivals. The idea is to promote a sense of responsibility among citizens about how we can enjoy and be responsible at the same time. -Gilgit is Getting a Dedicated Tourism Police Division Gilgit-Baltistan Inspector General of Police (IGP) Sanaullah Abbasi said that a special tourism force will be formed in the region to ensure the safety of national and foreign tourists. He also told that the GB government will deploy 700 personnel for the protection of the China-Pakistan Economic Corridor route. The special tourism force called, “Tourism Police Division” will be set up on the model of Malaysia and Thailand. -PM takes part in Hyderabad University’s Groundbreaking Ceremony. The project is projected to complete within 3 years, with over Rs. 2 billion as the estimated cost. The land for building the university has been marked in Kohsar. A bill will be passed from the National Assembly for the construction of the university. The name of the university has been decided as “Federal Urdu University Hyderabad”. -Facebook Launches Its Innovation Lab Platform in Pakistan Facebook and Pakistan’s Ministry of Information Technology along with the National Technology Fund (IGNITE) launched the first Facebook Innovation Lab located in the National Incubation Centre (NIC) at the Lahore University of Management Sciences (LUMS). The launch event, held on Wednesday, April 3, 2019, was attended by several thought leaders from across the world who came together and debated on issues such as women and technology; the impact that VR has on social good and impactful ways to harness technology for social good. -UN Adopts Pakistan Sponsored Resolution Against Islamophobia The United Nations General Assembly (UNGA) unanimously adopted a resolution on Tuesday strongly condemning acts of violence and terrorism against religious minorities.mThe resolution, titled ‘Combating terrorism and other acts of violence based on religion or belief’ was moved by Turkey and co-sponsored by Pakistan. Through this, the UNGA condemned the atrocious terrorist attack targeting Muslims during Friday prayers in two mosques at Christchurch, New Zealand this month, while offering deepest condolences to the victim families.The UN assembly called for the protection and promotion of freedom of religion and belief while developing a domestic environment of religious tolerance, respect, and peace. -Government announces changes for new budget With the new budget coming up, the Pakistan Tehreek-e-Insaf (PTI) government announced on Tuesday its first tax amnesty scheme on hidden domestic and offshore assets – in an attempt to boost the sinking tax revenue. Besides, the government announced that it would stop the unchecked outflow of dollars through foreign currency accounts, declaring its intention to amend laws to link the outflows for investment with the approval of the authorities. “An asset declaration scheme will be announced before the budget,” Finance Minister Asad Umar told journalists. -First ever Pakistani international tourism corner opens in Europe Pakistan has opened its first International Information Tourist Corner in Belgium to offer Europeans Pakistan’s unique culture, stunning scenic view of its northern areas and the traditional lifestyle of mountain people. Launched jointly in collaboration with the Embassy of Pakistan in Brussels and Tribes, a Dutch Company established in Brussels, the tourist corner is the first-ever initiative by the Pakistani mission in Belgium to promote tourism in Pakistan -Asad Umar hints at withdrawing tax exemptions for elite Finance Minister Asad Umar on Tuesday hinted at withdrawing tax exemptions being availed by the elite and also announced a drastic reduction in the number of withholding taxes from the next budget including the tax on banking transactions being paid by non-filers of tax returns. The minister expressed these views at the launching ceremony of a book, ‘Growth and Inequality in Pakistan – Agenda for Reforms’. The book has been written by Dr Hafiz A Pasha whom Umar described as Pakistan’s number one economist. Friedrich Ebert Stiftung – a German institute – has financed the book under the theme of ‘Economy of Tomorrow’. The book discusses almost every important aspect of Pakistan’s economy and carries a detailed chapter on elite capture of the state. -PM Imran Khan to perform ground breaking of two Naya Pakistan Housing Programme sites Prime Minister Imran Khan is expected to perform the ground-breaking ceremony of two housing projects in Islamabad and Quetta later this month. Both projects are part of PM Khan’s ambition of Naya Pakistan Housing Program (NPHP) under which he promised to deliver 500,000 low-cost residential units to the underprivileged faction of the society. -PM Khan announces economic corridor between KP Khyber and Afghanistan PM Imran Khan has announced formation of economic corridor between KP Khyber and Afghanistan for improving trade and economic activities in the region. PM Khan announced that he has issued directives for the Torkham border with Afghanistan to be kept open 24/7 in order to facilitate business and trade for locals. -First woman principal appointed at K-P police training centre A police training centre in Khyber Pakhtunkhwa’s (K-P) Mansehra has appointed a woman principal – a first for the province. Sonia Shamroz, an MBA in human resource management and an 18-grade officer, termed her appointment to the billet as a matter of great pride for her family and herself. -Pakistan expected to get significant export orders at Istanbul fair Pakistan Consul General in Istanbul Bilal Khan Pasha has said that the auto industry of Pakistan, especially the manufacturers of auto and tractor parts, tyres and tubes, has the potential to make inroads into the Turkish market. “Turkish automakers and Pakistani engineering companies are negotiating to form joint ventures; in the next phase small and medium enterprises of the two countries will enter into partnerships,” Pasha said while talking to The Express Tribune on the sidelines of the Automechanica exhibition, which kicked off in Istanbul on Thursday. “This year, Pakistani companies manufacturing auto and tractor parts as well as tyre tubes are expected to get significant export orders at Automechanica, which will help increase non-traditional goods export from Pakistan to Turkey,” the consul general said. -PM Imran urges lawmakers to share meal with homeless at govt shelters Prime Minister Imran Khan on Saturday urged lawmakers to visit the homeless at government shelters and “share a meal with the people using them”. The premier asserted that this practice will sensitise public representatives to issues faced by the bottom tier Pakistani society. “In the coming months I will personally monitor effectiveness of our poverty alleviation jihad,” the prime minister went on to add in a tweet.
Forex is the short way of saying “Foreign Exchange”. This means the global market for exchanging international currencies, also known as the FX market. When someone prices or exchanges a currency against another, the exchange rate is best on the particular forex trading pair (i.e., both currencies involved in the pair). Currency pairs are typically priced out to four decimal places, depending on the currency denomination, where one ten-thousandth of a unit of currency is known as a pip (i.e., 0.0001 unit), which is the smallest price increment (in addition to fractional-pips). The EUUSD, which is the most widely-traded forex pair, is an example of the Euro (EUR) currency against the US dollars (USD) currency. When trading one unit of EUUSD, you can calculate the price in USD (i.e., a price of EUUSD 1.3000 indicates $1.30 per euro). Conversely, when exchanging the USD/EUR, each unit of USD (i.e. each dollar) will have the prace of a specific number of euros (i.e., a USD/EUR price of 0.7700 indicates €0.77 per dollar). A speculator expecting the price of the EUUSD to go up. He will buy the EUUSD pair long (buying a pair to open a trade can be a bullish or long position). Whereas, a speculator anticipating a drop in the price of the EUUSD may sell the pair. (bearish or short position: selling to open a trade).
Largest international market Globally
The forex market is decentralized across the globe. It consists of dealers such as central banks, private and public banks, non-bank intermediaries, brokerages, and large corporations such as insurance giants and other participants engaged in international finance.
TheForeign Exchange marketis the largest globally, with nearly $6 trillion in average daily volume traded as of April 2019, according to the latestBISTriennial Survey of Central Banks.
The FX market suffers the influence mainly by each government’s monetary policy, the supply, and demand of the global economy. As well as international trade agreements, and users and suppliers of currencies (hedgers), in addition to speculators.
Market integrity and progress
While there have been cases of forex market manipulation by the biggest banks and dealers in the past, the amount of influence any one entity can have on the prices of major currencies is negligible. This resistance to serious manipulation risk is due to the enormous amount of trading and resulting liquidity available. The FX Market itself has high price integrity. Because it is an electronic market, efficient and with a certain size. Participants must still adhere to best practices.
Efforts such as theGlobal FX codewere launched to encourage forex dealers to uphold the best-execution where the best price available is given to traders.
These efforts are why the spreads and trading commissions continued to improve over the years, as the FX market evolved. In addition, regulators have competed to increase local market integrity and efficiency by creating more strict regulations. These come from the top-tier financial centers such as the US, UK, Singapore, Japan, Australia, among other advanced economies.
Investing and trading in the forex market
As an asset class, Forex is well-established and offered by many regulated brokerages from within a margin account.
The use of leverage is what makes forex trading more risky than non-margin investing.
Margin-based trading used by investors as well as self-directed traders and fund managers, thanks to the range of risk-management tools available within forex trading platforms (mobile, web, and desktop software). Wiseinvest provides trading signals with risk-management.
Forex market research and analysis
There are two primary ways for traders to assess and identify trading opportunities in the forex market.
One is through the use of fundamental analysis, which looks at economic news and data released by governmental agencies, as well as market sentiment data.
The second is through technical analysis, which pertains to the historical and current market price of the underlying currency.
Advanced forex trading strategies and algorithms
The foundation of successful trading in the forex market is having a trading strategy. It’s based on a specific methodology that best suits your trading needs. Strategies could be manual, automated, or a combination of both.
Over the past decade, there has been a proliferation of automated trading strategies made available for retail traders.
And while there are many serious traders with established track records for their trading systems, there are many more low-quality trading systems falsely marketed as high-quality by overly eager affiliates, making it harder for investors to navigate the market for trading signals.
There has also been an increase in the social copy trade. Where an operator can mimic other operators’ businesses in real time.
Whether using a copy-trading platform or an automated trading system, in almost all cases, this type of investing is considered self-directed and doesn’t require a power-of-attorney or another third-party money manager to handle your account. Unlike other copy and social trading platforms, Wiseinvet’s AI has the ability to execute a huge set of market data. It does by combining technical and fundamental analysis. This strategy can increase the accuracy of trading signals.
Self-directed forex investors
Compared to investing in a managed fund, there is greater responsibility. Traders put it on self-directed traders who use trading systems. A self-directed trader should conduct more detailed due diligence. It can avoid falling for the countless low-quality trading systems that exist on the internet.
Good quality trading systems will have established track records (historical results), and there will be other quantitative performance rankings, along with qualitative data about the strategy developers and any proprietary math used to operate the strategy.
Bad quality trading systems will usually promise high returns will not equally emphasizing potential risk.
There are no guarantees that a strategy will perform well. But conducting proper due diligence can help traders assess various trading systems. They consider using them to aid their trading or investment strategy.
Looking back in recent history, it seems as though big investors and financial organizations are changing their attitudes towards Bitcoin and altcoins. The media coverage worldwide illuminated the vast returns being had in the cryptocurrency markets, with many coins up over 100x since their conception. This certainly has garnered the attention from both legacy and newcomer investors. Currently, everyone is waiting to see if cryptocurrencies can continue on their path to new all time highs. 2017 turned out to be a whirlwind year, with most cryptocurrencies soaring to new all time highs at the end of 2017 and early 2018. The media coverage of cryptocurrencies was nonstop, with news reports on financial programs almost daily. In addition, many movies and tv shows mentioned cryptocurrency, including the technology oriented show “Silicon Valley.” So far, 2018 has seen a vast pullback in the cryptocurrency markets. Many of the smaller altcoins are down over 90% with Bitcoin, the crypto leader, still being down over 60% from all time highs. Even with the overall market pullback, many investors are still very bullish on cryptocurrencies going into 2019. Many big name institutions are jumping head first into crypto, with NYSE announcing a new crypto exchange, BAAKT. Also Fidelity has announced a crypto support platform for their customers. Even legendary Ivy league university Yale has announced a new 400 million dollar investment fund geared towards cryptocurrency. With so much bullish news adding up rapidly, almost everyone seems to expect a very profitable year for crypto leading into 2019. While Bitcoin is still currently the market leader there are also some big name altcoins that expect 2019 to be a huge year for them. The Altcoin Hierarchy Before investing in the crypto market, let us go through the basic classes of cryptocurrencies that exist in the market. While every class has the potential to have impressive returns, some coins have more impressive use cases and concepts, In addition to more qualified and funded development teams. Simply put, not all altcoins were created the same. The Penny Stocks of Crypto These are the bottom tier altcoins that could possibly become worthless in the near future. They operate much like penny stocks, advertising big promises of ‘guaranteed gains’. Eventually, many fail to offer a fraction of their promised returns. One of the ways to identify these is to look at their team members, their past experiences, objectives of the project, probability of mass adoption, actual use of the coins and many more. The reasons for their failure is usually because of unwillingness to work for the vision they once promised in the first place, bad wealth management, inclusion of scammers in their team, unrealistic expectation from the project and also making money via pump and dump schemes. Some of these coins are Trumpcoin, Russia Coin and Verge. Average Coins According to the ‘coinmarketcap’ website, there are currently more than 2000 cryptocurrencies listed on their website. Among those, there are around 500 of them that can be considered in this ‘average’ category. These are the coins that do have a purpose/objective to work on but fail to maintain a good development team. They and their coins don’t really have any kind of purpose in the crypto market and fail to finalize any kind of legitimate deals and partnerships with good investors. This makes their performance very limited as compared to other altcoins in the market. Some of these coins are Deep Brain Chain, Funfair, Decred, Navcoin, Populous, Cryptonex. Good Coins There are around 500 of such good coins in the market that do offer a good objective for the project, a solid team with good experience to execute such tasks, a good marketing strategy to reach out to masses to share their ideas and quality contacts to make some good partnerships in the market. The only reason why they are only classified as ‘good coins’ is due to the lack of uniqueness that the other ‘very good coins’ offer. They don’t really have that ‘point of parity’ in their project/product that separates them from their counterparts. Some of these coins are NEM, Stratis, Monero, and BAT. Very Good Coins There are around 100 such ‘very good coins’ in the market. Their objectives are well defined with a solid team to execute their tasks perfectly. Along with that, their marketing teams are also well-qualified to make their ideas reach to the masses. Because of such a wonderful blend, they are able to make better and strong partnerships with a number of good companies. What separates them from the ‘Good Coins’ category is their USPs (Unique Selling Points). They are unique in what they do and that’s what makes the difference. Such coins are NEO, Stellar, Cardano, Ripple Top Tier Cryptocurrencies These are the top tier coins that provide the best functionalities. They have real-world usage, objectives to solve a real-world problem, strong fundamental teams to execute the mission of the project, marketing teams to spread the ‘idea’ and collaboration with a number of media channels to gain early investors. Also, due to a good PR team, they are able to make a very strong partnership with a lot of Fortune 500 companies that give them an extra edge over rest of the projects in the market. Some of these coins are VeChain, Ethereum, Bitcoin, IOTA, Icon, EOS, Kinesis. Promising Projects Going Into the New Year With more than 2000 cryptocurrencies out there in the crypto market, only a couple 100 of them qualify to be a top tier investment. It can be quite the challenge to find a worthy project among the thousands of choices. These next projects are some that show a lot of promise heading into 2019. Always remember the 3’S’ of the investment – Sane, Smart and Sensible. An investor who is sane, smart and sensible will always look into the facts before he invests in any business or project. Kinesis This is one of the most promising upcoming projects in crypto. The broad overview of the coin is to offer an alternate and better evolutionary step beyond the basic monetary and banking system available today. In short, it is a cryptocurrency that is backed by precious metals like gold and silver. According to the CEO of the company, Thomas Coughlin, the Kinesis coin is basically divisible units of allocated gold and silver which you can use as a currency. There will be two stable Kinesis coins in the market backed by Gold and Silver. The stable Kinesis coins backed by Gold will be tagged as KAU and the stable Kinesis coins backed by Silver will be tagged as KAG. These stablecoins backed by the precious metals like Gold and Silver are real game changers as these 2 precious metals are definable stores of value for use in trade and investment in the real-world economies. The Kinesis coin is based on the Bespoke Blockchain Technology, a blockchain network forked off from the Stellar Blockchain Technology in order to suit the requirements of the Kinesis coin. The cryptocurrency project is headed by Thomas Coughlin who is also the CEO of the Kinesis company. He has 15 years experience in the investment, funds management and capital markets. Before being the CEO of the Kinesis company, he held similar positions for the Bullion Capital and TRAC Financial Group as well. Apart from Thomas Coughlin, there are other great members in the team as well. Their team consists of people like: Michael Coughlin, Chief Financial Officer, having 41 years experience as a CPA in the accountancy and financial services professions. Eric Maine, Chief Strategy Officer, having more than 30 years experience in Senior Management in the exchange and financial markets. Ryan Case, Head of Sales & Trading in Kinesis, having extensive experience as Head of sales trading & partnership and also valuable experience in commodity, cryptocurrency, forex and derivative markets. Jai Bifulco, Chief Marketing Officer, having a full-fledged 12 years of experience in award-winning full-stack marketer in Finance. He previously held roles of directors in multiple brokerages, consulting and Fintech sectors. There are more than 30 different team members in this project spanning their roles from The Executive Committee to the Advisory Board to the Operations and Development team. The coins are very limited in number as compared to other cryptocurrencies where the softcap is limited to just 15,000 KVT coins and HardCap is limited to 300,000 KVT coins. Minimum token that one can buy is set to 1 KVT which is equal to $1000. So far, more than 57,000 KVT tokens have been sold which roughly equals to a whopping sum of $57 Million. With such a huge investment already deployed for the development of the project, there are still 30 more days left for the ICO sale period to end. Also, apart from the investments gained, the Kinesis cryptocurrency is also focusing much on the partnerships with the top companies in the industry. These include companies like ABX (Allocated Bullion Exchange), MLG (Blockchain Consulting), Sigma Prime, Etherlabs and Fine Metal Asia Limited. This cryptocurrency is certainly the one to watch out for in 2019. VeChain Broad Overview – In simple layman terminology, Vechain is a supply chain protocol to track logistics inventory. It has successfully implemented blockchain technology in various sectors like agriculture and industries like luxury goods and liquor. They basically strive to solve real-life problems by providing solutions in various industries like: Logistics: In this sector, VeChain implements the blockchain technology to improve the flow of information from one department to another by breaking silos yet maintaining the data privacy of every department. Government: There are more than 111 VeChain nodes deployed worldwide. The municipal governments participate in the VeChain blockchain network as nodes. The VeChain blockchain network offers decentralization and immunity against the data hacking that allows room for transparent information exchange. This indeed improves the efficiency of the municipal governments. The technologies used to track the logistics are: Assigning digital identities to physical stocks that can be stored on the VeChain blockchain network Usage of RFID (Radio Frequency Identification) NFC (Near Field Communication) Proof Of Authority Consensus In-House Temperature Controlled Tracking Quick Response Codes (QR Codes) The future potential of the VeChain cryptocurrency looks quite promising as the coin is signing new partnerships every month or so. Some of its partners are PricewaterhouseCoopers, DNV GL, Renault Group, KUEHNE + NAGEL, D.I.G, China Unicom and the State Tobacco Monopoly Administration of China. Every single company with whom VeChain partnered has millions of customers that will use the VeChain technology embedded in their system. This makes the coin solve real-life problems and have mass adoption. VeChain indeed makes a big difference in the logistics business. However, given the kind of turmoil that the entire cryptomarket is facing where the total market capitalization has fallen from $800 Billion to just around $200 Billion, no one can give any kind of assurance on the returns in your investment in the crypto assets. However, stablecoins like Kinesis has a reward yield system that incentivizes its investors for holding, depositing and also referring new users. Hence, the investors always stay on the benefit side even if the market collapses for a short duration. IOTA In simple terms, IOTA is a cryptocurrency which is designed for the Internet of Things. The cryptocurrency was developed to root a new direction to IoT by establishing a standardization called, ‘Ledger of Everything’ which means that the data exchange between sensor-equipped machines would be enabled to populate IoT. IOTA has the potential to make transactions easy. A basic use case of IOTA can be seen in IOTA enabled vending machines. These machines can dispense the items without involving the associated transaction costs. Some other use cases of IOTA are Reddit Chains etc. Technology Behind IOTA Surprisingly, IOTA does not use the traditional Blockchain technology for its design and development. In fact, a new platform called ‘Tangle Technology’ is being used for IOTA to operate on. The Tangle Technology deploys a mathematical concept called Directed Acyclic Graphs (DAG) which resolves both the scalability and transaction fees issues which we face in blockchain based cryptocurrencies. In IOTA, for a transaction to be valid, each node present in DAG Tangle must approve the previous two transactions occurring at the other node. And adding to a note, this process removes the chances of mining and makes the system fully decentralized. Future Potential Keeping in mind the remarkable result of IOTA, there exists a promising scope for it in the near future in various applications and platforms. IOTA would be standing tall and different in the future world full of cryptocurrencies vulnerable to quantum computers. IOTA has a lot of companies that it is working with. Some of them include Bosch, Volkswagen,Fujitsu, Accenture, Poyry and many more. When viewed from a macro perspective, so far IOTA looks to be fee-less, scalable and fast which makes it next to perfect. However, if you own IOTA, the chances of you liquidating it into fiat currency via a ‘debit card’ and buying something from a grocery store is quite low. In order to fill this gap of actually buying something from the street market and becoming the global currency, Kinesis has introduced its Kinesis Debit Cards that enables the Kinesis token holders to exchange their tokens against FIAT currency and simultaneously buy products from a grocery shop, something which IOTA fails to offer. ICON ICX Broad Overview: ICON is a South Korean based company that develops blockchain technology and accompanies the cryptocurrency called ‘ICX’. ICON is a network framework which has been designed to allow independent blockchains to interact with each other. It allows interconnected blockchain networks to participate in a decentralized system which converges at a central point. Technology: ICX token is built on the Ethereum blockchain network. ICON has developed a loop-chain platform that connects different blockchain communities through the ICON Republic which serves as the governing head for the Federation of other independent blockchain bodies. All the communities are linked to Republic through C-Reps (Community Representatives) which then connects to Nexus. C-Reps functions as the portals to the communities to establish a connection with Nexus. And this way the entire procedure is carried out. Future Scope: It is believed that ICON has plans to provide platforms to financial, security, insurance, healthcare, educational industries which can help them to carry transactions on a single network. Thus, ICON (ICX) can be seen having a good time in the coming days. Also, it has been successful in signing a partnership deal with the tech-giant Samsung where it will be using ICON’s own Chain ID for a new Samsung project called ‘Samsung Pass’. Apart from Samsung, ICON has also signed deals with PORTAL NETWORK & W Foundation. However, it is notable that ICON is built on the Ethereum network and is an ERC20 token. Hence, the transaction speed greatly depends on the Ethereum network. Currently, Ethereum can execute 15 transactions per second which is quite low in terms of what ICON (ICX) is currently aiming for. However, to fill this gap, we have Kinesis Bespoke Technology that offers a whopping speed of 3000 transactions per second. This lightning fast speed keeps the Kinesis token way ahead than ICX token. Enjin Broad Overview The native cryptocurrency of the Enjin Network, the Enjin Coin (popularly known as only ENJ) follows the ERC20 token standard and is used with a smart contract-based blockchain platform. Its typical users include content creators, game developers, and other members of the gaming community, who need to use virtual tokens to manage and trade virtual goods in the gaming world. Technology behind Enjin As an ERC20-compliant token, the ENJ functions in accordance with the rules an Ethereum contract has to implement. It is used on a dedicated platform that is designed to support open-source software development kits (SDKs), applications, plug-ins, and payment gateways. As for its users, they will be able to efficiently participate in developing, launching, managing, and trade content and game-related products on the Enjin Network, without having to deal with the technical complexities. Summary of Potential The ENJ is expected to solve some performance issues in using similar cryptocurrencies on the market today, including payment frauds where goods are not actually delivered, slow transaction processes, lack of ownership of virtual goods, lack of transaction standards, and centralization problems. According to its creators, the ENJ coin, which is based on a blockchain, will create a distributed, trustworthy, and secure framework where transactions can be executed smoothly and quickly with minimal transaction fees. Its autonomous and decentralized system will ensure that all offers and deals will be honored. Conclusion Generally speaking, the Enjin Coin is good. It helps bring the benefits of blockchain to millions of people participating in the virtual goods market. Its creators are working hard to prevent fraud in the gaming world. However, it is still a relatively new project. As such, it is still volatile. This means that you still have to take utmost care and be wise when using it. EOS Broad Overview EOS is considered by many people who are participating in the virtual goods market as one of the best cryptocurrencies to use, supported by a powerful infrastructure for decentralized applications. Basically, the EOS blockchain is used for the development, execution, and hosting of decentralized applications (dApps) that are traded virtually. Technology behind EOS The EOS system is composed of two key components, which are the EOS.IO and the EOS token. As for the former, it functions like a computer’s operating system in managing and controlling the EOS blockchain, with the use of an architecture that enables horizontal and vertical dApps. As for the latter, it is held (instead of spent) by the users to be able to become eligible of building, running, and trading apps, as well as using EOS network resources. While EOS still does not have an official full form, it supports all core functionalities to allow individuals and businesses to create and trade blockchain-based apps. It also runs on a web toolkit for interface development, just like Apple’s App Store and Google Play Store. Summary of Potential While there are already a lot of cryptocurrencies based on Ethereum similar to it, the EOS system focuses on the critical and problematic points of the blockchain. Specifically, it attempts to solve the problems of scalability, speed, and flexibility that often cause transaction processes to slow down, which is a common issue in blockchain-based systems. According to its creators, EOS.IO could also address other problems that come with the ever-increasing size of the dApps ecosystem, such as limited availability of resources, constrained networks, spamming, false transactions, and limited computing power. It is said to be able to support thousands of commercial-scale dApps without hitting performance bottlenecks by using asynchronous communication methodologies and parallel execution across its network. Conclusion The EOS system is very advanced. It is designed to address common problems with standard blockchain-based networks. But like other new cryptocurrency platforms on the virtual market today, it still has some weak points to improve. Also, there is again the exposure to volatility, as users hold the tokens to be eligible to trade virtually. Nebulas Broad overview Nebulas (NAS) is a new generation blockchain and is open for public collaborations for decentralized application (dApp) development. Its adaptability and scalability are the two characteristics that could propel NAS to be one of the top cryptocurrencies, thus giving it enough leverage to compete in the market. Technology behind Nebulas Nebulas is the first crypto running on a 3rd generation blockchain, thus making it the dominant player of the new platform. This makes Nebulas highly flexible and scalable, even giving a good leverage in future-proofing their code. That could help avoid hard forking whenever some issues come up during scaling processes. Summary of potential Adaptability, scalability and search-ability are three of the biggest potential NAS has to offer. With the 3rd generation blockchain it uses, it can allow the adaption of other codes based from Nebulas. This means that other cryptos can adapt to its platform soon enough. Moreover, it can also act as a blockchain search engine. This can let users search particular blockchains based on efficiency and community strength. Finally, its goal to provide fair incentives to Decentralized Application (dApp) developers is something that collaborators could expect. This means that more developers are expected to come, thus strengthening NAS even further. Conclusion Nebulas (NAS) is a promising crypto especially with its adaptability, scalability and search-ability potentials. It can help with the fluidity of crypto into this new generation platform. However, it still lacks the value stability that Kinesis or stablecoins hold. NAS is still unpredictable, unlike Kinesis that backs it value with real gold. Sky Broad overview SkyCoin is a full environment system of blockchain technology, and has the goal of endorsing the actual usage of cryptocurrency. Technology behind Sky Sky has its own algorithm, the Obelisk, which uses the web of trust dynamics to spread influence all throughout the network to come up with a consensus decision. The consensus decision depends on each node, by valuing its influence score. The influence score of each node is determined by the number of network nodes connected to it. This depicts the importance of the node to the network. Aside from the Obelisk, Sky also operates its own cryptocurrency which is SkyCoin, its own ICO platform Fiber, a decentralized social media platform called BBS, and a decentralized messenger called Sky-Messenger. Summary of potential Sky focuses its potential on being a full ecosystem of blockchain technology that encourages actual usage of crypto. Through its unique algorithm which is the Obelisk and some other dApps associated with it, Sky is a promising crypto technology and could be considered as the most complete one as of today. Conclusion Sky, SkyCoin and the Obelisk is definitely a massive platform that could be considered as a full ecosystem of crypto and its related technology. Nonetheless, the SkyCoin depends its value on node influence scores, which could change from time to time as well. This makes Kinesis and Stablecoins still a better choice, especially for investors who want clear investments without hassle. Crypto Predictions for 2019 While 2017 had the masses captivated and investing large amounts of capital, 2018 has seen price drops and sagging hopes. While the returns in 2017 exceeded anyone’s expectations, a strong pullback was predicted by many. Whether or not this bear market continues from here is the real question many investors face today. Bitcoin’s rapid rise and fall exposed many problems, and the developers of the top cryptocurrencies in 2019 took note. When considering your crypto investments for 2019, factor in the following trends we predict will influence investments: More Pullbacks According to the CEO of Vellum Capital, Eric Kovalak, the price of cryptos will reach new lows before they will rebound to new heights. This includes the biggest cryptocurrencies in the market, including Bitcoin. Kovalak believes that it will be priced below $3,500 before it will find its way back up. However, there are many mixed opinions on the current price of BTC, with some arguing the bottom for the crypto markets have already been seen. Due to Bitcoin-based remittances, uncertainty in global economies like Asia, Turkey and Venezuela, and mobile penetration, there will be a surge in interest and the price of the digital currency. A Flood of Institutional Investors Institutional investors have been waiting on the sideline for the ETF to rule in favor of Bitcoin. According to Mike Novogratz, CEO of Galaxy Capital, once the ETF arrives, “institutional fomo’ will start flooding the market.” Another factor is Kinesis, the investment blockchain that provides investors with a safe and reliable alternative. Pegged against precious metals, it provides protection against volatility that may be caused by political instability. The Kinesis Monetary System lets you own real gold or silver when you purchase the digital currency. Your ownership is then digitized and then made available for spending, trading, and transfer. What is even better, the monetary system can be used internationally, ensuring reliability of money around the world. With the recent crisis around the Turkish Lira, the price of gold has significantly increased. Mass adoption of crypto by consumers In January 2019, blockchain technology will be 10 years old. It remains a speculative investment to this day but 2019 could be the year of mass adoption for digital currencies. For this to happen, however, there has to be some triggers. Speculation should become a real utility. People must use blockchain projects in everyday life so they will gain widespread use. Decentralized applications (DApps) must gain mainstream status to promote widespread adoption of cryptocurrencies. Improved payment processing, addressing the issue on the current situation of slow transaction times and high transaction fees. Scalability of blockchain technology with little to no impact on its efficiency. To date, slow transaction times are due to the growing number of users and transaction sizes. This calls for blockchain to grow and have the ability to compete with Mastercard, PayPal, or Visa. Introduction of off-chain solutions that allow users to complete a transaction through peer-to-peer payment channel instead of within the blockchain. This will address slow transaction times. Security will be provided by the parent blockchain. Gold Is Still The Standard Despite the promises and unique functions of many cryptocurrencies, there is still uncertainty in these new markets. Gold has remained the best form of investment throughout history, and the best store of value, especially through times of crisis in politics and economies. Kinesis pegs its value to gold which has proven to be the safest investment in history. Therefore Kinesis stands to gain from the stability gold offers while simultaneously fusing it with the unique features of this cutting edge crypto technology. With the Kinesis Monetary System, investing in gold is no longer the slow process that many older investors are used to. This cryptocurrency is backed by gold and silver and supports precious metals trade. It has three essential assets. Tokens that represent an investors ownership of gold and silver. The inherited system where performance is done. Complete blockchain security that supports investments and paves the way for the creation of new assets protected in a banking system. Most importantly, the Kinesis Monetary System allows thousands of transactions to be completed per second in a completely secure channel. The Near Future Even a decade later, cryptocurrencies are still very much in their infancy. At this time, no one is sure what shape this growing sector will take in the future. Many cryptocurrencies will come and go but the ones that show the most promise, that fulfill their use cases, will stick around for the long term. With any emerging technology, we have to watch how it evolves and how it merges with our everyday life, changing the way we interact with everything around us.
[educational] Stretgies for day trading based on Technical Analysis
Breakout strategies center around when the price clears a specified level on your chart, with increased volume. The breakout trader enters into a long position after the asset or security breaks above resistance. Alternatively, you enter a short position once the stock breaks below support. After an asset or security trades beyond the specified price barrier, volatility usually increases and prices will often trend in the direction of the breakout. You need to find the right instrument to trade. When doing this bear in mind the asset’s support and resistance levels. The more frequently the price has hit these points, the more validated and important they become.
This part is nice and straightforward. Prices set to close and above resistance levels require a bearish position. Prices set to close and below a support level need a bullish position.
One of the most popular strategies is scalping. It’s particularly popular in the forex market, and it looks to capitalise on minute price changes. The driving force is quantity. You will look to sell as soon as the trade becomes profitable. This is a fast-paced and exciting way to trade, but it can be risky. You need a high trading probability to even out the low risk vs reward ratio. Be on the lookout for volatile instruments, attractive liquidity and be hot on timing. You can’t wait for the market, you need to close losing trades as soon as possible. https://preview.redd.it/dzaf7t1nvdh31.png?width=653&format=png&auto=webp&s=f3d96d74311de806c3809698df2a964e3eb4db5e
Popular amongst trading strategies for beginners, this strategy revolves around acting on news sources and identifying substantial trending moves with the support of high volume. There is always at least one stock that moves around 20-30% each day, so there’s ample opportunity. You simply hold onto your position until you see signs of reversal and then get out. Alternatively, you can fade the price drop. This way round your price target is as soon as volume starts to diminish. This strategy is simple and effective if used correctly. However, you must ensure you’re aware of upcoming news and earnings announcements. Just a few seconds on each trade will make all the difference to your end of day profits. https://preview.redd.it/z4r2o6covdh31.png?width=600&format=png&auto=webp&s=b054c77c4bc5978821e879eff73d613d728cb0cf
Although hotly debated and potentially dangerous when used by beginners, reverse trading is used all over the world. It’s also known as trend trading, pull back trending and a mean reversion strategy. This strategy defies basic logic as you aim to trade against the trend. You need to be able to accurately identify possible pullbacks, plus predict their strength. To do this effectively you need in-depth market knowledge and experience. The ‘daily pivot’ strategy is considered a unique case of reverse trading, as it centers on buying and selling the daily low and high pullbacks/reverse. https://preview.redd.it/4ya3txcpvdh31.png?width=776&format=png&auto=webp&s=f40216413b1376b2d6d5a67e4d09057f55be6ba1
5. Using Pivot Points
A day trading pivot point strategy can be fantastic for identifying and acting on critical support and/or resistance levels. It is particularly useful in the forex market. In addition, it can be used by range-bound traders to identify points of entry, while trend and breakout traders can use pivot points to locate key levels that need to break for a move to count as a breakout.
Calculating Pivot Points
A pivot point is defined as a point of rotation. You use the prices of the previous day’s high and low, plus the closing price of a security to calculate the pivot point. Note that if you calculate a pivot point using price information from a relatively short time frame, accuracy is often reduced. So, how do you calculate a pivot point?
Central Pivot Point (P) = (High + Low + Close) / 3
You can then calculate support and resistance levels using the pivot point. To do that you will need to use the following formulas:
First Resistance (R1) = (2*P) – Low
First Support (S1) = (2*P) – High
The second level of support and resistance is then calculated as follows:
Second Resistance (R2) = P + (R1-S1)
Second Support (S2) = P – (R1- S1)
When applied to the FX market, for example, you will find the trading range for the session often takes place between the pivot point and the first support and resistance levels. This is because a high number of traders play this range. It’s also worth noting, this is one of the systems & methods that can be applied to indexes too. For example, it can help form an effective S&P day trading strategy
6. Moving Average Crossover
You will need three moving average lines:
One set at 20 periods – This is your fast moving average
One set at 60 periods – This is your slow moving average
One set at 100 periods – This is your trend indicator
This is one of the moving averages strategies that generates a buy signal when the fast moving average crosses up and over the slow moving average. A sell signal is generated simply when the fast moving average crosses below the slow moving average. So, You’ll open a position when the moving average line crosses in one direction and you’ll close the position when it crosses back the opposite way. How can you establish there’s definitely a trend? You know the trend is on if the price bar stays above or below the 100-period line. the source : https://www.daytrading.com/strategies
Although it might seem easy to invest in Forex nowadays, by just logging into an account with a broker, deposit some money and start actively trading; it has not always been like this, as forex industry has rapidly changed in the past three decades. Before technology and free-floating currencies took over the industry, world currency exchanges were operating under the Bretton Woods System of Money Management. This agreement established rules for commercial and financial relations among top economies, tying their currencies to gold. Hence, a currency note issued by any world government represented a real amount of gold held in a vault by that nation. When in July 1944 delegates from all over the world sign off the pact, the main goal was to reduce lack of cooperation between countries and therefore avoiding currency wars. This process of regulating the foreign exchange brought to the foundation of the international money fund (IMF) and the International Bank of Reconstruction and Development (IBRD), today part of World bank Group. However, in the early 70s the real-world economics outpaced the system, dollar suffered from severe inflation cutting its value by half. At that time unemployment rate was 6.1% and inflation 5.84%. Finally, in August 1971, U.S. government led by Richard Nixon took away gold standard, creating the first fiat currency and replacing Bretton Woods System with De Facto. Together with this there were other important measures taken by the USA president to combat that high inflation regime:
This decision was driven by many European nations asking to redeem their dollars for gold, till leaving Bretton Woods System. This had an enormous impact on USD which plunged against European currencies. Consequently, USA congress release a report suggesting USD devaluation to protect the currency from foreign gougers. However, dollar dropped again, and Treasury Secretary was directed to suspend the USD convertibility with gold; hence foreign governments could no longer exchange their USD with gold.
The inflation level was skyrocketing and one more action taken by Nixon was to freeze all wages and prices for 90 days, this was the first time since WWII.
Import surcharge of 10% was set up to safeguard American products ensuring no disadvantage in trades.
Today, USD dominates financial markets, accounting together with the EURO, for approximately 50% of all currency exchange transactions in the world. 1971 represents the beginning of a new forex trading era, bringing this market to be the largest and most liquid in the world, with an average of daily trading volume exceeding $5trn. All the world’s combined stock markets don t even come close to this, what does this mean to you? In an environment which is controlled by free-floating currencies moving constantly, following principles of supply and demand, there are constant and exciting trading opportunities, unavailable when investing in different markets. In this article are shared main features of what is forex trading today and how can be an incredible new source of income for everyone who is into financial markets.
What Is Forex?
Forex is the acronym for foreign exchange which intends to be a decentralized or over the counter (OTC) marketplace, where currencies from all over the world are traded 24 hours, five days a week. Main financial centres include New York, Chicago, London, Tokyo and Frankfurt for Eurozone. It is by far the largest market in the world in terms of volume, followed by the credit market. Being highly liquid is an important feature that allows traders to be able to enter and exit their positions very quickly. Nevertheless, while trading forex, an investor should be aware of several components: Dynamicity – forex is an extremely fast environment, this means that currency rates can move very fast, influenced by price action signals and fundamental factors. Therefore, going into forex trading, one needs to be aware of adopting serious risk and money management strategies in order to be effective, limiting losses. Zero Sum Game – trading forex is not like investing in the stock market but is known to be a zero-sum game. For example, going into the equity market buying some tech shares, they could both rise or decrease in value. In forex is different because currencies work in pairs; for instance, an investor decides Euro will go up he or she is doing it against another currency. Thus, in this specific marketplace one currency will rise while the other will fall, meaning an investor is buying the currency hoping it will appreciate to the other, or selling the one that will depreciate. See image below: Figure 1: Main traded currency pairs https://preview.redd.it/vu77ziuoyle31.png?width=574&format=png&auto=webp&s=9b1693bf27508fcb142705c309de1fc5b3e8fa19 Currency pairs are composed by a base and a price currency. Main forex trading principle is how much price currency an investor can buy using 1 unit of the base, thus, the base currency, which is the first one in line within the quotation, is always equal to 1. Because like every financial instrument currency pairs are driven by fundamentals of supply and demand, forex is intensively influenced by geopolitical and macroeconomic factors. Capital Markets – these are the most visible indicators of a country economic health, where usually the healthier the economy the stronger the currency. For example, a rapid sell-off from a country will show that nation is not economically stable, subsequently investors will think negatively of it depreciating its currency. Moreover, many countries are sector driven, this means that their currencies are strictly correlated with certain resources. For instance, Canada which is a commodity-based market, CAD is strictly linked to price of Brent and metals, a swing in those will affect the Canadian currency. Finally, credit market is also connected to forex since also relies heavily on interest rate so, a change in bond yield will have major impact on currency prices. like increase in yield will favour bullish market for USD International Trade – Trade levels serve as a proxy for relative demand of goods from a nation, a country which goods and services that are in high demand internationally, will experience an appreciation to its currency. This is an effect driven by all other countries converting their currencies into the one of that state to purchase its goods and services. Let’s say a product from USA is in high demand globally, all the other countries must sell their currencies to buy dollars to then see their goods shipped, thus USD will appreciate. Trade surplus and deficit also indicate a nation competitive standing in international trade. Countries with a large trade deficit are usually importers resulting in more of their currencies being sold to buy goods worldwide, thus they will see their currencies devaluate. Geopolitics – The political landscape of a nation places a major role in the economic outlook for that country and consequently, the perceived value of its own currency. Beside building up price action strategies, based purely on price levels, forex traders constantly look at economic calendars and news to gauge what could move currencies. A geopolitical event which is having a great impact on GBP, is the election of Boris Johnson as UK prime minister, driving the local currency to 2 years low, yesterday 29th of July 2019. Therefore, when investors observe instability from a nation political environment, there are high chances that the currency of that country will depreciate.
Why Trading Forex
Beside swapping from a gold standard to free-floating, which change the whole forex trading game, technology is another crucial factor that helped this financial sector to spread globally. With the introduction of internet in the 90s forex opened to retail investors giving access to various trading platforms. The introduction of online platforms and retail investments have increased forex market volume by 5%, up to $250bn of its daily turnover. Different traders may have different reasons for selecting forex, however, mostly is because this is a fertile market plenty of daily opportunities to gauge price action and profit from it.
How traders profit from trading forex? Basics of trading are rather simple to understand. An investor buys an asset at a certain price hoping to get rid of it for a higher price. The more volatile is the market for that specific financial instrument, the more revenue is possible to make. Therefore, a trader is looking for long up and down moves rather than market fluctuating sideways. Volatility is great in forex and a trader can expect to regularly see prices oscillating 50-100 pips on major currency pairs almost any day of the week. Yet again, due to this enormous constant fluctuation, potential losses or gains can be very high thus, rigours money management must be applied to avoid major damages and become a profitable trader. To conclude, volatility is the main characteristic investors are looking at and that is why it is one of the main feature traders can take advantage. See image below: Figure 2: FDAX Volatility, H4 (30th May 2019, 16:00, 30th July 2019, 16:00)
Accessibility & Technology
While volatility is the most important element out in the market that tell us why forex is the best market to trade, accessibility comes straight after. This market is more accessible than all the others, trading forex requires an online desk position and as little as $100 to start off an account. In comparison with the other financial markets, forex requires a rather low trading capital. Moreover, trading forex can be easily accessible from your PC, tablet or mobile since most of retail broker firms operate online. Although, accessibility cannot tell the quality of the market by itself, it definitely shows a reason why many investors try their first trading experience on forex. Also, the rapid introduction of technology since the 90s, made trading much easier. There are every year more advanced online platforms to trade on with many possible updates and that is why trading forex is edging for many global investors.
Before the introduction of free-floating currency and more importantly cutting hedge technology, forex was a market that could have been traded only by institutional investors. Nowadays however, even retail and individual investor can take advantage of the huge volume forex offers every day. Banks Interbank market is the major responsible for the high volume registered daily in forex. This is the place where banks exchange currency among each other, facilitating forex transactions for customers and speculate for their trading desks.
Clients transactions: in this case banks of all size act as dealer for clients, where the bid-ask spread represents the profit for the institutions.
Speculation: currencies are traded to profit from their price fluctuations as well as to increase diversification on their portfolio
Because banking institutions are the biggest players in foreign exchange market, they are able to push up and down the price of currencies giving an extreme advantage and higher volatility to individual traders who are trying to gauge price moves. Central Banks Central banks representing their nation’s government, are crucial in forex. They oversee monetary and fiscal policies having massive influence on currency rates. A central bank is responsible for fixing the price level of its native currency on the market, in other words they take care of the regime currencies will float in the open market.
Floating: these are the currencies which price floats on the open market based on principles of supply and demand relative to other currencies
Pegged (fixed exchange rate): opposite to floating currencies pegged ones are not free-floating in the open market however, their government rather tie them to the value of a stronger foreign currency. Pegged currencies are more seen in developing countries (CYN to USD).
Because central banks manage interest rates in order to increase the competitiveness of their native nation to another.
Dovish: these policies will be lowering down interest rates. A central bank which applies dovish conditions aims to give economic stimulus and guard against deflation. Usually a policy intended to give economy stimulus will weakening the currency value.
Hawkish: on the other hand, hawkish policies lead to an increase in interest rate. A central bank that uses hawkish measures aims to reduce inflation. Typically, this kind of policies will reinforce the country currency value.
Investment Managers & Hedge Funds Portfolio managers and hedge funds are the second investors in forex after central and investment banks. They are hired by huge institutions such as pension to manage their assets. However while portfolio managers of pool funds will buy currency to speculate on foreign securities, hedge funds execute speculative trades as part of their strategies. Corporations Also international corporation play a big role in forex. Those firms operating globally, buying and selling goods and services are involved in forex transactions daily. Imagine an American company producing pipes that imports Japanese components and sell the finished product to China. After the sale is closed the CYN must be converted back to USD, while the American company must exchange USD into JPY to repay for the components supply. Moreover, company involved in international trade have an interest in forex in order to hedge the risk associated with currencies fluctuations making several foreign exchange transactions. For instance, the same American company might buy JPY at spot rate, or enter a swap agreement to obtain JPY in advance, overtaking the risk of the Japanese currency to rise in the future. Therefore, forex become crucial to run companies with many subsidiaries and suppliers all over the word. Individual & Retail Investors Even though this investor cluster brings to forex a very limited volume compared to financial institutions and corporations, it is rapidly growing in numbers and popularity. These base their trades on a mixture of fundamentals and technical analysis. Bottom line, main reason why forex is the most traded market in the world is because gives everyone, from top financial institutions to retail and individual trades, opportunities to make returns on capital invested from currencies price fluctuations related to global economy.
Daily Pivots: In this system, the profit is gained through the volatility of the daily prices of assets. The buying or selling takes place during the low period of the day, and closing of the trade occurs at the high period of the day. The price target here has a similar pattern as mentioned above. These help you during your intraday setups, so you can manage your potential entries daily. The search for the best Forex day trading system is called the search for the Holy Grail. Please understand that having a good Forex trading system needs to comply also with proper money management. You cannot separate those two aspects. There are dozens ... Some of the advantages of trading forex include; It takes place round the clock, unlike other financial markets like the stock market. No formal requirements are needed to trade forex and the starting capital is also affordable. There’s high liquidity and the transaction costs are quite low. No one including the brokers can manipulate the market. Guys ! we all know about Renko Charts, you can use this strategy which is really basic, simple but very very effective. For making good profit it's not that you need loaded Indicators and systems, sometimes a very basic system turns to be effective. Here i am discussing a system which always works. Clear entry and exit rules, you can use this system for scalping on 5 minutes to 15 Minutes ... Minimum leverage requirements for Gold have recently been increased at many Forex / CFD brokerages, even though volatility in recent years has been relatively low. Forex brokers usually use XAU/USD notation for spot gold contracts and XAG/USD for spot silver as a trading instrument. The team at Daily Forex has taken the top gold trading brokers and has compiled the comparison chart below. Forex trading accounts for the bulk of new retail traders, primarily due to relatively low capital requirements to start, and the 24/5 availability of markets. Through the emergence of the cryptocurrency sector, open for trading 24/7, supported by many Forex brokers, demand remains elevated. Forex trading involves significant risk of loss and is not suitable for all investors. Full Disclosure. Spot Gold and Silver contracts are not subject to regulation under the U.S. Commodity Exchange Act. *Increasing leverage increases risk. GAIN Capital Group LLC (dba FOREX.com) 135 US Hwy 202/206 Bedminster NJ 07921, USA. GAIN Capital Group ... The RR is derived mathematically, where we have taken into consideration the possibility of a new ‘high’ or ‘low’ as we are trading in a strong trending environment. Accordingly, we have set the take-profit and stop-loss in our example, as shown below. (Forex daily high low List). Pivot Point High Low Forex Trading Strategy is a combination of Metatrader 4 ( MT4) indicator(s) and template. The essence of this forex system is to transform the. It is actually a normal Fibonacci Indicator with one added feature, which is drawing high and low. The High-Low Indicator for Forex Trading Sometimes ... My system is quite complex and time must be allowed to understand it. TP is not fixed, I personally do not use SL (everyone can adapt this system as they want), has a multitude of indicators (from SR, pivot, RSI, Stoch to Harmonics, MT4 Cycle, Asian Range Box, Daily High / Low etc.). The system works on any pair (including indices).
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