Best Forex Entry Point indicator for mt4 download free
Best Forex Entry Point indicator for mt4 download free
Best Forex Entry Point Indicator » Free Forex MT4 ...
How To Find Forex Entry Points - FINDING THE BEST ENTRY POINTS
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With the trading week coming to a close I wanted to help inform those of you who actively trade indexes on what to look for next week. With a significant amount of volatility in equity markets over the past few weeks, and concerns around the pandemic, election, pace of economic recovery, and serious doubts over another round of stimulus have mounted. I know all of us are watching the market like a hawk to determine the next trend (bull/bear) as the next few months will be very closely correlated to the election and which candidate will win. i.e. If the market goes up Trump's likely to stay in office, downtrend would suggest Biden as the new president. The market historically has always strongly correlated with the presidential election. After crunching the numbers this afternoon, I have my next week's S&P key support/resistance levels and pivot points to watch out for. I did a combination of classic and Fibonacci that weren't too far off from one another. I tried to upload my chart/drawings but Reddit is saying the file is too big to upload directly into the post. I'll try to add a link later if I get time. For those of you who would like to learn how to calculate support/resistance and pivot points you can learn the basics of how to do so here. I know you guys love clicking +/-0.30 deltas and exiting at 50% profit, but I feel indicators are key to choosing our options strike(s), and futures entry/exit points. I prefer to sniper my strike(s) to limit my upside/downside risks. When trading options we should all have an entry/exit strategy. Support/Resistance helps us determine what strike(s) to pick, and when to close the order. If you are trading index futures please set stop/limit orders to limit your upside/downside risk as well. Classic: S3 [3128.42] S2 [3210.41] S1 [3264.94] Pivot Point [3346.93] R1 [3401.46] R2 [3483.45] R3 [3537.98] Fibonacci: S3 [3210.41] S2 [3262.56] S1 [3294.78] Pivot Point [3346.93] R1 [3399.08] R2 [3431.30] R3 [3483.45]
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 III - My 10 Minutes/Day Trading Strategy You can find Part II here: https://www.reddit.com/Forex/comments/h7m1jh/part_ii_10_minuteday_trading_strategy/ Okay I’ve thought about what to include in Part 3 and this is what I’ve landed on: Some technical nuances and tricks that build on Parts I and II. I was going to include entry and exit points in Part III but it would be waaaay too long if I did. So that will have to wait for Part 4 or 5. There’s some really good stuff in this post though, I promise. The stuff in this post will lay the foundation for the options you will have in terms of determining your entry and exit points. Technical Nuances & Tricks: In this section I want to discuss some techniques that are optional to use. I am going to keep this fairly simple and focus on 2 main topics: fibonacci and horizontal levels of support and resistance. Horizontal Support and Resistance:
There are many ways of identifying support and resistance. I personally subscribe to the K.I.S.S. (Keep It Simple, Stupid!) method when using this strategy.
When I identify a strategy setup (Off BB, Stochs overbought/oversold, indecision candle + setup candle) I will simply look to the left and see if there is any prior support or resistance that lines up with the technical strategy. I will also look for prior support or resistance levels to make sure they are not in the way of my target (will cover targets in the next subsection)
Support and Resistance are not always clear lines drawn in the sand. Usually they are areas. Areas of prior demand and/or prior oversupply in the market.
IF you want a mechanistic manner of identifying support and resistance then here’s an easy indicator: load up the Bill Williams Fractal Indicator and simply look for groupings of fractals near highs and lows of the market
KEEP AN EYE ON THE STOCHASTICS IN EACH OF THESE EXAMPLES
The way I apply fibonacci in my “normal” trading does require a lot of discretion. And it is this discretionary element that trips up a lot of traders and scares them off using fibonacci.
This strategy removes ANY DISCRETION involved in using fibonacci levels. This couldn’t be more in keeping with the entire K.I.S.S. philosophy of this trading strategy
We use Fibonacci in this strategy as an OPTIONAL tool. If you decide to use Fibonacci with this strategy, the best way of using it will be to have a mechanistic method for determining entry and exit points.
Fibonacci retracement levels can be used for limit entry orders and stop loss orders.
Fibonacci extension levels can be used for take profit orders
You can copy my fibonacci settings in the screenshot below. I use the following fibonacci % levels:
It really is a stupidly simple way we will draw the fibs (note: it will be the SAME WAY on every single trade). We simply draw the fibs over the setup candle. ALWAYS draw the fibs in the direction that price is moving ie: from left to right. So if you have a bullish setup candle you draw your fibs from the LOW to the HIGH of the setup candle. If you have a bearish setup candle you will draw the fibs from the HIGH of the candle to the LOW of the candle. I will cover in a future post which levels we use for entry and exit, although many of you will be able to figure it out quickly. Examples below:
Access Part I here: https://www.reddit.com/Forex/comments/h0iwbu/part_i_my_10_minuteday_trading_strategy/ Welcome to Part II of this ongoing series. How many parts will there be? No idea. At least 4-5, I guess. I'd rather have this broken down into digestible chunks than just fire hose you with information. Part I was really just a primer. If I'm using the whole baking a cake analogy, then in Part I we covered what kind of cake we're baking. I will not cover in this post where we look for entries and exits, that's coming next. Part II is going to cover what ingredients we need and why we need those ingredients in greater detail. What Kind Of Strategy Is This Again?It's my 10 minutes per day, trading strategy. I think the beauty of this strategy is that it allows you to take a good number of trader per week without having to commit an inordinate amount of time to the screens. This is both a mean reversion and trend-continuation based strategy. It is dead simple to learn and apply. I'd expect a 10 year old to be able to make money with this. The List Of Ingredients & Why We Use These Particular Ingredients *I will have an image at the end of the post showing a textbook long and short setup* Bollinger Bands: Bollinger Bands (BB) have a base line (standard is the 20SMA, which is also what we will use for this strategy) and two other trend lines (known as the upper Bollinger band [UBB] and lower Bollinger band [LBB]) plotted 2 standard deviations away from the 20SMA. The idea behind BB is deviously simple - the vast majority of price action, approx. 90%, takes place in between the two bands. In other words, when price trades off the UBB or LBB, you could consider prices to be overbought/oversold. However, just because something is OVERbought does NOT mean its run is OVER. Therefore we need additional tools to make sure we are using the BB as effectively as possible. TLDR: BBhelp contextualize where to look for our technical setups using this strategy. Finding the candle/bar pattern is not enough. We need to make sure the setup is in the 'right' part of the chart. We accomplish that using the BB. Stochastic Oscillator: The Stochastic Oscillator (Stochs) is a secondary momentum indicator. Because it is an oscillator that means the signals it generates are range-bound between 0 and 100. There are tons of momentum indicators out there. Theoretically you could swap out the Stochs for RSI or MACD. My hunch is that you won't see a measurable statistical difference in performance if you do. So why Stochs? Because I like the fact you have the %K and %D lines (you can think of them as moving averages) and the fact that the %K and %D lines crossover is a helpful visual aid. Like any other momentum indicator, the Stochs will generate overbought and oversold signals. We use the Stochs to help back up what the BB are telling us. If price is trading at, or even broken out of, the UBB and Stochs are also veeeery overbought that can be potentially useful information. It doesn't mean we have a trade necessarily, but it is a helpful piece of data. Fibonacci Retracement & Extension Tool: This tool is OPTIONAL. The only reason I use this tool for this strategy is to integrate a mechanistic means of entry and exit. In other words, we can use fibonacci levels to place limit orders for entry and profit taking, and a stop order to get us out for our pre-defined risk allocation to each particular trade. If you DON'T want to use the fibs, that is perfectly okay. It just means you will add a more discretionary layer to this strategy Candlestick/Bar Patterns: There isn't a whole lot to say here. We look for ONE formation over, and over, and over again. An indecision bar (small body, doesn't close on its highs or lows) followed by the setup bar which is an outside bar or an engulfing bar. It doesn't particularly matter if the setup bar is an engulfing bar or outside bar. What matters is that for a long trade the setup bar makes a HIGHER HIGH and has a HIGHER CLOSE relative to the indecision bar. The opposite for a short trade setup. The bar formation is what ultimately serves as the trigger for placing orders to take a trade. *MOVING ON* Now We Get Into The Setup Itself:There are 3 places where we look for trades using this strategy:
Short off the UBB (Here we want to see Stochastics overbought and crossing down. Bearish divergence is even better)
Long off the LBB (Here we want to see Stochastics oversold and crossing up. Bullish divergence is even better)
Long/Short off the Middle Bollinger Band (Here if you are looking for a short trade off the MBB you ideally want Stochs overbought. Vice versa for a long trade. NOTE: Often when taking trades off the MBB, Stochs WON'T go overbought/oversold. Because this doesn't happen often, I don't let it stop me from taking trades off the MBB.)
Due to popular demand I've decided to bring this series back for a week 2 and I'll continue to release 3-5 trading ideas every Saturday. How do you guys feel about the name of this series? Would you like me to change the name to something like "Setup Saturdays" or are you guys cool with the current naming scheme? So this week I wanted to be a lot more in depth in my analysis and setups since I didn't think I was super clear last week with my reasoning on some the setups. I want these posts to be as beginner friendly as possible because there's a lot more beginners in this Subreddit than I had realized. I want you to use this as an educational tool and not as a signal service as a result I'm going to give you possible trade setups and I want you to be the judge of whether you should enter once/if price gets to that point since I feel like that will benefit beginners in the long run. I got a couple questions about top down time frame analysis so that'll be a focus of today's post. Scroll down to NZDJPY if you really want an in-depth look at how I perform top down time frame analysis. I'll include a picture of a chart and my TradingView chart so if you want to zoom in and out of the chart you'll have that ability to do so. Quick Disclaimer: Some of the charts pricing might be off by a bit since I started working on this during the New York session on Friday. If any of the charts are impacted in a way that alters the setup I'll be sure to update the charts before I post this on Saturday. Just gotta hope that hope that Powell doesn't break the market or else I might have to redo this entire post. AUDUSD: AUDUSD Daily TradingView Link For Daily: https://www.tradingview.com/chart/AUDUSD/Wb5K2bS8-AUDUSD-Daily-For-Reddit-Post-6-20-U-AD3133/ Analysis: Which way is the trend pointing? It looks like it's pointing up which we can see with the green trend line but how about we zoom in to the 4 hour char to see if that's actually the case. Tip: When drawing a trend line, especially on the daily and higher time frames, remember to hit as many wicks as possible since they are relevant and not just some anomaly you can ignore. AUDUSD 4 Hour TradingView Link For 4 Hour: https://www.tradingview.com/chart/AUDUSD/aah8294z-AUDUSD-4-Hour-For-Reddit-Post-6-20-U-AD3133/ Analysis: When we got close to where we are with price and we draw a Fibonacci Retracement from the point where price took off to the point where price peaked we can see that price came down to .5 Fibonacci level where it then started going up again. Coincidence? Possibly. As a result I believe that price could continue higher and it would be justified if it did. However, if we look at the trend lines we can see that price appears to have broke put of of our major trend line (Green) which means that price could fall to the downside if it's actually a breakout. Price then appears like it would then adhere to the new minor trend line (Red). There's also the possibility that this was just a fake breakout and price could go up and adhere to green trend line. I'm going to have a selling bias on this trade since price looks like it double topped at the highs of this year and it looks like we could see price fall. I'm leaning towards the drop of price due to the symmetrical triangle pattern created by the major and minor trend line and looks like price is going to get pushed down which we should get an idea of soon. Tip: Every time price makes a large move and falls/rises after making a peak/valley always pull out the Fibonacci retracement tool to see if price will bounce from the .382, .5, or .618 levels as they are the most significant levels. This can tell you if you're going to likely get a trend continuation. AUDUSD 1 Hour TradingView Link For 1 Hour: https://www.tradingview.com/chart/AUDUSD/IHgrnfYs-AUDUSD-1-Hour-For-Reddit-Post-6-20-U-AD3133/ Analysis: I drew out multiple different scenarios which I think can play out since like I said before we're not trying to predict a single movement but we're preparing to be reactive to an ideal condition which may be thrown at us. Remember that major trend line we drew in on the daily chart well it's going to play a large role here. This trend line has been in the making since March so we're not just going to brush it off. The trend line appears to have been broken and we seem to be sticking that minor trend line after the break of the symmetrical triangle pattern. After the break of the symmetrical triangle pattern price usually gets pushed heavily to one side and it looks like price is wanting to get pushed to the downside. As a result, I'm going to really keep on eyes on scenario the blue arrows display since I think it's the most probable. Looking at the scenario there are going to be two potentially good entry points for a sell. The first being when price goes up to retest the green trend line which would also serve as a bounce from our red trend line. Once we get that bounce we could enter in for a sell with a take profit hopefully somewhere around the .66 area. Another good entry would be when price breaks the zone of support of .68 and after it retests it. Wait for a confirmation candlestick pattern showing price will fall when retesting (i.e. railroad track, bullish engulfment candle, evening star, shooting star, etc.). Look for these candlestick patterns on the 15 minute chart. Once you got the confirmation take the sell and ride price down to the .66 zone. The other scenario that could occur is we could see price go back into the green trend line by breaking the red trend line (Orange Arrows). If this occurs we want to catch the retest bounce of the red trend line and ride price up to the high of the year which is at .702. At that point price could break the resistance at which point we could catch the retest of the zone and ride price up. Or it could go up to .702 create a triple top and fall. If you get a candlestick confirmation saying it'll fall then take a sell at the high of the year. NZDUSD: If there's something I really like in Forex it's definitely got to be harmonic patterns due to their high accuracy. NZDUSD just recently completed one of them and this is a really good indicator of what price is going to do. NZDUSD Daily TradingView Chart For Daily: https://www.tradingview.com/chart/NZDUSD/zQpHzUcK-NZDUSD-Daily-For-Reddit-Post-6-20-U-AD3133/ Analysis: Yes, we have trend line that says that price is going up however I make exceptions for Harmonic patterns since they are accurate about 80%-90% of the time. The pattern you see above is know as a Bearish Bat Pattern. Like the name says it's an indicator that price is going to go Bearish so although the trend line is going up I'm going to have a bearish bias on this trade. NZDUSD 4 Hour TradingView Chart For 4 Hour: https://www.tradingview.com/chart/NZDUSD/C29kpCyO-NZDUSD-4-Hour-For-Reddit-Post-6-20-U-AD3133/ Analysis: Not really much to add here just tossed on a Fibonacci retracement tool from where price took off to the peak just to check for any potential support from any of the major levels which we don't appear to have. We'll go a lot more in-depth on this pair on the 1 hour chart since that's where things get interesting. NZDUSD 1 Hour TradingView Link For 1 Hour: https://www.tradingview.com/chart/NZDUSD/dKJatcM7-NZDUSD-1-Hour-For-Reddit-Post-6-20-U-AD3133/ Analysis: Looking at price we can see that since June 11th price has been trading in a boxed consolidation range. Again I drew out the possibilities I believe could be ideal for us. Remember that I said Harmonics work 80%-90%. Well that means that they fail 10%-20% of the time which is definitely not something we can neglect. We can see that there's a descending triangle which price is reaching the end of. This means that price is getting ready to move to one direction since big moves always come after consolidation. If it moves to upside wait for price to close above the the spot marked D then you can enter for a buy and ride price up to the .67525 zone where price could break to upside or bounce back down (Orange Arrow). Remember to wait for it to actually close above point D since it could create a triple top and drive price back down. It's the same procedure as AUDUSD here if it makes this move where if it breaks it then catch the retest and if it looks like it's wanting to fall down wait for a confirmation pattern. If it breaks the box to the downside and breaks the support zone then take a sell and ride price down to the trend line at which point you should close the trade as there's a chance price could move against you and it's best to secure profits while you can. Once at the trend line it could bounce and if it does you should be able to ride price up to that .67525 zone (Green Arrow). If price breaks the trend line then wait for the retest and you should be able to ride price down pretty far (Red Arrows). I think you should be able to ride it down to .5918 zone but you'll have to keep your on it. EURNZD: EURNZD Daily TradingView Link For Daily:https://www.tradingview.com/chart/EURNZD/jzgmGcRe-EURNZD-Daily-For-Reddit-Post-6-20-U-AD3133/ Analysis: Well we got a pretty clear descending channel and price looks like it's at the top part of the channel currently so we're going to want to look for some optimal selling conditions due to the down trend. EURNZD 4 Hour TradingView Link For 4 Hour:https://www.tradingview.com/chart/EURNZD/YzOpvcH7-EURNZD-4-Hour-For-Reddit-Post-6-20-U-AD3133/ Analysis: Looking at the 4 hour chart we can see that there appears to be a symmetrical triangle coming to it's end meaning price is getting ready to get pushed to a side. I believe it'll break the triangle and fall to the downside so once you see it break it would be a good idea to take a sell and ride price down to that support zone at 1.7187. Price could also briefly break to the upside then bounce off the top of the channel and it does take a trade from the bounce and ride price down to the same support zone. At that point, I'll leave it up to you to determine how you think price will go and what you should be looking for. Consider it to be a little quiz if you want to think of it like that. You've got my charts so use them as a reference since I've already marked some crucial support/resistance zones which we should keep our on for the next couple weeks. EURNZD 1 Hour TradingView Link For 1 Hour:https://www.tradingview.com/chart/EURNZD/ICWvgEsg-EURNZD-1-Hour-For-Reddit-Post-6-20-U-AD3133/ Analysis: There's nothing that special on the one hour chart that I have to point out since I think we pretty much got all the big stuff out of the way on our analysis of the 4 hour chart. Be sure to get a good sell in there since there are two potentially good setups which I've outlined for you. Also be sure to be careful and wait for the bounce of the channel if price goes that way since there's a chance price could break the channel and I don't want you to take a loss because you were impatient. NZDJPY: This pair is going to be really fun since we're going to be looking through a lot of time frames so if you really want to learn about a top down approach to analyzing time frames and trends then pay very close attention to how I break down this trade. NZDJPY Monthly TradingView Link For Monthly:https://www.tradingview.com/chart/NZDJPY/jZh4F2Jv-NZDJPY-Monthly-For-Reddit-Post-6-20-U-AD3133/ Analysis: Yes, we're actually going to be looking at the monthly chart. I bet you guys don't do that very often. Looking at it we can see that price has been following a clear down trend line since late 2014. If you look at the wick of this month's candle you can see that it appears to have touched the trend line meaning we could see a good opportunity to catch a sell since it had just recently bounced off. Let's take a look at lower time frames to see if this continues to be true. NZDJPY Weekly TradingView Link For Weekly:https://www.tradingview.com/chart/NZDJPY/dpvI29BB-NZDJPY-Weekly-For-Reddit-Post-6-20-U-AD3133/ Analysis: When zooming into the weekly we can see that using the wicks of the candles we can actually draw a channel for the low portion that runs pretty much in parallel to the trend line we drew on the monthly chart. We can see that price clearly bounced from the trend line and I think this gives us good reason to believe in the coming weeks we could see the price drop. Also looking at the Bollinger Bands we can see that price also bounced from the top band which also supports a drop of price. Let's go into the daily to see if we can get a better idea. NZDJPY Daily TradingView Link For Daily:https://www.tradingview.com/chart/NZDJPY/NbWLURkU-NZDJPY-Daily-For-Reddit-Post-6-20-U-AD3133/ Analysis: Looking at the daily time frame we can see that price is currently consolidated and remember big moves always come after consolidation. If you look closely however you can see that price looks like it's about to break the 200 day EMA (Orange line). If it breaks the EMA we could see price drop pretty far at an accelerated rate. Besides those couple observations there's not much else going on with the daily chart. NZDJPY 4 Hour TradingView Link For 4 Hour:https://www.tradingview.com/chart/NZDJPY/d1kaogH5-NZDJPY-4-Hour-For-Reddit-Post-6-20-U-AD3133/ Analysis: Would you look at that, it looks like we got a descending triangle on the 4 hour chart which looks like it's coming to an end. Looking at price it looks like it's wanting to push to the downside. Once you get a break below the lows of the day of June 11th I think it would be a safe bet to take a sell trade and ride it down for 66.825 for this week. If it breaks the 66.825 support zone then I'll definitely take a sell and try to ride price down to the bottom of the channel which we drew on the weekly chart. There's also the possibility that price could take support at any of these support zones and then head back up to test the top of the channel. At which point I'll be looking to get into a sell at the top of the channel but I won't ride price up to the channel since at this current point in time I feel like there's a large amount of risk in that. NZDJPY 1 Hour TradingView Link For 1 Hour:https://www.tradingview.com/chart/NZDJPY/83b47mFS-NZDJPY-1-Hour-For-Reddit-Post-6-20-U-AD3133/ Analysis: Not much more to add here since I think by this point we got the entire story so I'm not going to say much more about the 1 hour chart since I think the analysis for the 4 hour chart also sums this up pretty well. Well that was a lot of information to go through and I hope you found some value in this since it took me quite a few hours to put this together for you guys. Truth be told, I spent most of Friday working on this so I hope at least one person finds some value in which case I'll consider it a win. So you guys tired of me yet or do you want me to continue this series for a week 3? It takes a lot of time and effort to put this together so I'll only do it if people want it or else I'll pretty much feel like I wasted my time. I might put together a little lesson on how to use the COT in order to catch some big reversal moves in the market since the COT pretty much tells you what the hedge funds are doing and you also want to trade with the hedge funds and institutions. It'll probably take a couple weeks since I'll have to compile some data together and wait for a setup before putting that out but I'll be working on it. Are there any other things you may want explained? Let me know and I'll try to find setups which contain the topic you may want more details on. I hope you have a great trading week!
https://eu.excentral.com/blog-article/?articleId=33121 There are many ways to trade, but there are just a few ways to open a transaction correctly. And this is one way you wouldn’t want to miss. Buckle up for a blog full of trading insight and eye-opening tips, straight from the trading world. All traders, from the less all the way to the highly experienced ones should read this blog to advance their game. Needless to say, if you’re relatively new to the world of trading, this is a blog post you should definitely read. It includes the steps you need to take to open a transaction, weighing in the facts and data you gather from trustworthy sources. However, if you’re trading like most people are breathing, then this is a blog post you might also benefit from reading, from the fact that it will give you a chance to reassess the most basic steps of trading, from a knowledgeable point of view. Read this if you want to upgrade your strategies, checking the news and what are some verified news-sources, following the economic releases calendars, all the way to ‘reading’ the charts.
Here’s what you’ll better do
Make sure you find a piece of news on an asset you understand – you can choose pretty much everything, from your country’s currency, main commodities products, indices, famous shares or even cryptocurrencies –we've got over 120 such assets. Just make sure you understand its current trend and what might impact it in the coming future. Make sure you find verified news outlets like: Reuters, Bloomberg, Investing, Business Insider, Financial Times, Market Watch, Forex Factory etc.
Check the chart (try adding some indicators) – the chart will tell you more about the trend of the asset up to the moment you’re checking it. If you’re a more analytical trader, you might get the whole picture and base your trades on the chart solely. If you’re good with indicators, try combining several, to double-check your assets.
Check the Economic Calendar for any upcoming events that impact the asset’s trend – If the chart doesn’t quite paint the picture, try combining it with the economic calendar. As an exercise, try to see which events trigger what kind of movement. Although past events can’t be an indication of future trends, they help you practice and better understand an asset’s movements.
Keep in mind that these first three steps are interchangeable. You can even start backwards, or first from the Chart, as they serve as verification methods of one another. Experienced traders can even make sense of asset’s trends using just one of these steps. But you know what they say: practice makes perfect.
A simple analysis might not be enough
Make sure you have enough margin to pursue the trades you’re planning – based on the leverage you’re using, you might hear that a handful of investors recommend using 20% of your available margin, leaving the rest as a safety net in case your scenario goes haywire. However, the truth is somewhere in the middle. You need to consider the volatility of the assets you’re trading with, the total margin available in your account as well as all the events taking place in the markets at that specific time when you’ll open the transaction.
Prepare a solid Risk Management Technique – there’s no one-size-fits all strategy we can use when trading, and actively following our transactions seems to be the best solution we have. Probably only a good Risk Handling Technique can prevail, so make sure to research yours in depth.
Analyse the right entry and exit strategies for a variety of scenarios. It’s not all about setting up stop loss and take profit. Consider the period you’re willing to hold the transaction open for, the events that might start influencing the trend, or whether you’re planning on changing the stop limits at all. For more information make sure to check out Michalis Webinars.
Don’t forget to invest in your knowledge and…
Trade – based on what you expect to happen next in the markets, buy – if you anticipate the asset’s value to rise, or sell – if you think the asset’s value will drop.
If any of the above points give you a headache, make sure you follow ourwebinars, held by eXcentral’s Market Analyst, Michalis Efthymiou. And for more information make sure to ask your Account Manager to arrange a 1-on-1 with Michalis, it might surprise you how much he knows about investing.
Difference between indicator for stock and indicators for Forex
Hey people ! Stumbles on a guy on YouTube saying that most of the indicators where made for stock trading a long time ago and so a portion of them shouldn't be used for Forex. Ofc the guy don't tell you which one. He's a bit Guruish but I think he makes a good point. So, while starting to create a strategy, I want to try indicators that where actually made for forex to see if there's actually a difference. Do you have any that you would share ? On a more personal note, I'm trying to find: A good way to find an entry and exit point for trend trading all help welcome :)
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 majority of this sub is focused on technical analysis. I regularly ridicule such "tea leaf readers" and advocate for trading based on fundamentals and economic news instead, so I figured I should take the time to write up something on how exactly you can trade economic news releases. This post is long as balls so I won't be upset if you get bored and go back to your drooping dick patterns or whatever.
How economic news is released
First, it helps to know how economic news is compiled and released. Let's take Initial Jobless Claims, the number of initial claims for unemployment benefits around the United States from Sunday through Saturday. Initial in this context means the first claim for benefits made by an individual during a particular stretch of unemployment. The Initial Jobless Claims figure appears in the Department of Labor's Unemployment Insurance Weekly Claims Report, which compiles information from all of the per-state departments that report to the DOL during the week. A typical number is between 100k and 250k and it can vary quite significantly week-to-week. The Unemployment Insurance Weekly Claims Report contains data that lags 5 days behind. For example, the Report issued on Thursday March 26th 2020 contained data about the week ending on Saturday March 21st 2020. In the days leading up to the Report, financial companies will survey economists and run complicated mathematical models to forecast the upcoming Initial Jobless Claims figure. The results of surveyed experts is called the "consensus"; specific companies, experts, and websites will also provide their own forecasts. Different companies will release different consensuses. Usually they are pretty close (within 2-3k), but for last week's record-high Initial Jobless Claims the reported consensuses varied by up to 1M! In other words, there was essentially no consensus. The Unemployment Insurance Weekly Claims Report is released each Thursday morning at exactly 8:30 AM ET. (On Thanksgiving the Report is released on Wednesday instead.) Media representatives gather at the Frances Perkins Building in Washington DC and are admitted to the "lockup" at 8:00 AM ET. In order to be admitted to the lockup you have to be a credentialed member of a media organization that has signed the DOL lockup agreement. The lockup room is small so there is a limited number of spots. No phones are allowed. Reporters bring their laptops and connect to a local network; there is a master switch on the wall that prevents/enables Internet connectivity on this network. Once the doors are closed the Unemployment Insurance Weekly Claims Report is distributed, with a heading that announces it is "embargoed" (not to be released) prior to 8:30 AM. Reporters type up their analyses of the report, including extracting key figures like Initial Jobless Claims. They load their write-ups into their companies' software, which prepares to send it out as soon as Internet is enabled. At 8:30 AM the DOL representative in the room flips the wall switch and all of the laptops are connected to the Internet, releasing their write-ups to their companies and on to their companies' partners. Many of those media companies have externally accessible APIs for distributing news. Media aggregators and squawk services (like RanSquawk and TradeTheNews) subscribe to all of these different APIs and then redistribute the key economic figures from the Report to their own subscribers within one second after Internet is enabled in the DOL lockup. Some squawk services are text-based while others are audio-based. FinancialJuice.com provides a free audio squawk service; internally they have a paid subscription to a professional squawk service and they simply read out the latest headlines to their own listeners, subsidized by ads on the site. I've been using it for 4 months now and have been pretty happy. It usually lags behind the official release times by 1-2 seconds and occasionally they verbally flub the numbers or stutter and have to repeat, but you can't beat the price! Important - I’m not affiliated with FinancialJuice and I’m not advocating that you use them over any other squawk. If you use them and they misspeak a number and you lose all your money don’t blame me. If anybody has any other free alternatives please share them!
How the news affects forex markets
Institutional forex traders subscribe to these squawk services and use custom software to consume the emerging data programmatically and then automatically initiate trades based on the perceived change to the fundamentals that the figures represent. It's important to note that every institution will have "priced in" their own forecasted figures well in advance of an actual news release. Forecasts and consensuses all come out at different times in the days leading up to a news release, so by the time the news drops everybody is really only looking for an unexpected result. You can't really know what any given institution expects the value to be, but unless someone has inside information you can pretty much assume that the market has collectively priced in the experts' consensus. When the news comes out, institutions will trade based on the difference between the actual and their forecast. Sometimes the news reflects a real change to the fundamentals with an economic effect that will change the demand for a currency, like an interest rate decision. However, in the case of the Initial Jobless Claims figure, which is a backwards-looking metric, trading is really just self-fulfilling speculation that market participants will buy dollars when unemployment is low and sell dollars when unemployment is high. Generally speaking, news that reflects a real economic shift has a bigger effect than news that only matters to speculators. Massive and extremely fast news-based trades happen within tenths of a second on the ECNs on which institutional traders are participants. Over the next few seconds the resulting price changes trickle down to retail traders. Some economic news, like Non Farm Payroll Employment, has an effect that can last minutes to hours as "slow money" follows behind on the trend created by the "fast money". Other news, like Initial Jobless Claims, has a short impact that trails off within a couple minutes and is subsequently dwarfed by the usual pseudorandom movements in the market. The bigger the difference between actual and consensus, the bigger the effect on any given currency pair. Since economic news releases generally relate to a single currency, the biggest and most easily predicted effects are seen on pairs where one currency is directly effected and the other is not affected at all. Personally I trade USD/JPY because the time difference between the US and Japan ensures that no news will be coming out of Japan at the same time that economic news is being released in the US. Before deciding to trade any particular news release you should measure the historical correlation between the release (specifically, the difference between actual and consensus) and the resulting short-term change in the currency pair. Historical data for various news releases (along with historical consensus data) is readily available. You can pay to get it exported into Excel or whatever, or you can scroll through it for free on websites like TradingEconomics.com. Let's look at two examples: Initial Jobless Claims and Non Farm Payroll Employment (NFP). I collected historical consensuses and actuals for these releases from January 2018 through the present, measured the "surprise" difference for each, and then correlated that to short-term changes in USD/JPY at the time of release using 5 second candles. I omitted any releases that occurred simultaneously as another major release. For example, occasionally the monthly Initial Jobless Claims comes out at the exact same time as the monthly Balance of Trade figure, which is a more significant economic indicator and can be expected to dwarf the effect of the Unemployment Insurance Weekly Claims Report. USD/JPY correlation with Initial Jobless Claims (2018 - present) USD/JPY correlation with Non Farm Payrolls (2018 - present) The horizontal axes on these charts is the duration (in seconds) after the news release over which correlation was calculated. The vertical axis is the Pearson correlation coefficient: +1 means that the change in USD/JPY over that duration was perfectly linearly correlated to the "surprise" in the releases; -1 means that the change in USD/JPY was perfectly linearly correlated but in the opposite direction, and 0 means that there is no correlation at all. For Initial Jobless Claims you can see that for the first 30 seconds USD/JPY is strongly negatively correlated with the difference between consensus and actual jobless claims. That is, fewer-than-forecast jobless claims (fewer newly unemployed people than expected) strengthens the dollar and greater-than-forecast jobless claims (more newly unemployed people than expected) weakens the dollar. Correlation then trails off and changes to a moderate/weak positive correlation. I interpret this as algorithms "buying the dip" and vice versa, but I don't know for sure. From this chart it appears that you could profit by opening a trade for 15 seconds (duration with strongest correlation) that is long USD/JPY when Initial Jobless Claims is lower than the consensus and short USD/JPY when Initial Jobless Claims is higher than expected. The chart for Non Farm Payroll looks very different. Correlation is positive (higher-than-expected payrolls strengthen the dollar and lower-than-expected payrolls weaken the dollar) and peaks at around 45 seconds, then slowly decreases as time goes on. This implies that price changes due to NFP are quite significant relative to background noise and "stick" even as normal fluctuations pick back up. I wanted to show an example of what the USD/JPY S5 chart looks like when an "uncontested" (no other major simultaneously news release) Initial Jobless Claims and NFP drops, but unfortunately my broker's charts only go back a week. (I can pull historical data going back years through the API but to make it into a pretty chart would be a bit of work.) If anybody can get a 5-second chart of USD/JPY at March 19, 2020, UTC 12:30 and/or at February 7, 2020, UTC 13:30 let me know and I'll add it here.
So without too much effort we determined that (1) USD/JPY is strongly negatively correlated with the Initial Jobless Claims figure for the first 15 seconds after the release of the Unemployment Insurance Weekly Claims Report (when no other major news is being released) and also that (2) USD/JPY is strongly positively correlated with the Non Farms Payroll figure for the first 45 seconds after the release of the Employment Situation report. Before you can assume you can profit off the news you have to backtest and consider three important parameters. Entry speed: How quickly can you realistically enter the trade? The correlation performed above was measured from the exact moment the news was released, but realistically if you've got your finger on the trigger and your ear to the squawk it will take a few seconds to hit "Buy" or "Sell" and confirm. If 90% of the price move happens in the first second you're SOL. For back-testing purposes I assume a 5 second delay. In practice I use custom software that opens a trade with one click, and I can reliably enter a trade within 2-3 seconds after the news drops, using the FinancialJuice free squawk. Minimum surprise: Should you trade every release or can you do better by only trading those with a big enough "surprise" factor? Backtesting will tell you whether being more selective is better long-term or not. Hold time: The optimal time to hold the trade is not necessarily the same as the time of maximum correlation. That's a good starting point but it's not necessarily the best number. Backtesting each possible hold time will let you find the best one. The spread: When you're only holding a position open for 30 seconds, the spread will kill you. The correlations performed above used the midpoint price, but in reality you have to buy at the ask and sell at the bid. Brokers aren't stupid and the moment volume on the ECN jumps they will widen the spread for their retail customers. The only way to determine if the news-driven price movements reliably overcome the spread is to backtest. Stops: Personally I don't use stops, neither take-profit nor stop-loss, since I'm automatically closing the trade after a fixed (and very short) amount of time. Additionally, brokers have a minimum stop distance; the profits from scalping the news are so slim that even the nearest stops they allow will generally not get triggered. I backtested trading these two news releases (since 2018), using a 5 second entry delay, real historical spreads, and no stops, cycling through different "surprise" thresholds and hold times to find the combination that returns the highest net profit. It's important to maximize net profit, not expected value per trade, so you don't over-optimize and reduce the total number of trades taken to one single profitable trade. If you want to get fancy you can set up a custom metric that combines number of trades, expected value, and drawdown into a single score to be maximized. For the Initial Jobless Claims figure I found that the best combination is to hold trades open for 25 seconds (that is, open at 5 seconds elapsed and hold until 30 seconds elapsed) and only trade when the difference between consensus and actual is 7k or higher. That leads to 30 trades taken since 2018 and an expected return of... drumroll please... -0.0093 yen per unit per trade. Yep, that's a loss of approx. $8.63 per lot. Disappointing right? That's the spread and that's why you have to backtest. Even though the release of the Unemployment Insurance Weekly Claims Report has a strong correlation with movement in USD/JPY, it's simply not something that a retail trader can profit from. Let's turn to the NFP. There I found that the best combination is to hold trades open for 75 seconds (that is, open at 5 seconds elapsed and hold until 80 seconds elapsed) and trade every single NFP (no minimum "surprise" threshold). That leads to 20 trades taken since 2018 and an expected return of... drumroll please... +0.1306 yen per unit per trade. That's a profit of approx. $121.25 per lot. Not bad for 75 seconds of work! That's a +6% ROI at 50x leverage.
Make it real
If you want to do this for realsies, you need to run these numbers for all of the major economic news releases. Markit Manufacturing PMI, Factory Orders MoM, Trade Balance, PPI MoM, Export and Import Prices, Michigan Consumer Sentiment, Retail Sales MoM, Industrial Production MoM, you get the idea. You keep a list of all of the releases you want to trade, when they are released, and the ideal hold time and "surprise" threshold. A few minutes before the prescribed release time you open up your broker's software, turn on your squawk, maybe jot a few notes about consensuses and model forecasts, and get your finger on the button. At the moment you hear the release you open the trade in the correct direction, hold it (without looking at the chart!) for the required amount of time, then close it and go on with your day. Some benefits of trading this way: * Most major economic releases come out at either 8:30 AM ET or 10:00 AM ET, and then you're done for the day. * It's easily backtestable. You can look back at the numbers and see exactly what to expect your return to be. * It's fun! Packing your trading into 30 seconds and knowing that institutions are moving billions of dollars around as fast as they can based on the exact same news you just read is thrilling. * You can wow your friends by saying things like "The St. Louis Fed had some interesting remarks on consumer spending in the latest Beige Book." * No crayons involved. Some downsides: * It's tricky to be fast enough without writing custom software. Some broker software is very slow and requires multiple dialog boxes before a position is opened, which won't cut it. * The profits are very slim, you're not going to impress your instagram followers to join your expensive trade copying service with your 30-second twice-weekly trades. * Any friends you might wow with your boring-ass economic talking points are themselves the most boring people in the world. I hope you enjoyed this long as fuck post and you give trading economic news a try!
﷽ 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)
Share of world GDP from 2.43% in 2014 to 3.08% in 2018
Average GDP 7.3% against 6.7% in previous regime
Forex reserves from 300 bn USD in 2014 to 420 bn USD in 2018
Doubling of FDI inflow from 36 bn USD in 2014 to 66 billion USD in 2018
Inflation less than 2.3 % (Nov 18) against 10.1% in 2014
Growth of sensex from 24,121.74 in 2014 to 36,395.03 on 12 Feb 19 (50.88%)
Fiscal deficit under control
Per capita income increased by 45% from Rs 86,647 in 2014 to Rs 1,25,397
IT exemption from 2 lakh in 2014 to 5 lakh (effectively 9.85 lakh with home loan)
Restaurant bills tax reduced from 18% in 2014 to 5%
Transaction charges through card down from 1% to 0%, domestic money transfer fee down from Rs 5 in 2014 to zero
Financial inclusion (32 crore bank accounts with 260 billion worth deposits). Almost 100% coverage from earlier 50%
DBT (savings of 83000 crores @ 15000 crore annually), No of govt schemes DBT applied to increased from 34 in 2014 to 433, 2.7 lakh fake mid-day meal students, 3.3 crore fake LPG connections, 87 lakh fake MNREGA job cards, 3 crore fake ration cards eliminated
Zero IT for businesses with turnover upto 60 lakhs
GST exemplifying cooperative federalism, rates of 83 items down from pre-GST rates, out of 1211 items only 35 items in above 18% slab, 39% reduction of cost of basic household items. Average 1 lk crore monthly revenue through GST collection. Exempted for business upto 40 lk
Insolvency and Bankruptcy Code, constitution of NCLT, 3 lakh crores of NPAs recovered, 66 cases resolved, 260 cases liquidated, resolution of stressed assets, 2100 companies pay back 83000 crore to banks settling their pending loan repayments
75 billion $ or Yen to Rupee exchange agreement with Japan
2.92 lakh km of optical fibre laid, 0.02% to 50% gram Panchayat connectivity
Swachh bharat mission has saved, according to WHO, 3 lakh lives and will save 1.5 lakh lives per year.
IT filers increase from 3.79 crore to 6.08 crore, enterprises registered for indirect tax up from 64 lk to 118 lakh
Entry of India in global regimes Missile Technology Control regime (MTCR), WA (Wassenaar Arrangement) and Australia Group
17 crore soil health cards
1.5 crore houses built, 91.37 crore in rural areas and 13.5 lakh in urban areas against 25 lakh houses built between 2010-2014. House for all target year is 2022.
1,78,346 houses built in NE over existing 2875 houses built till 2014
Home loan interest rate down from 10.3 % in 2014 to 8.4% in 2018, annual savings of Rs 47,160 for 30 lakhs over 30 years, no GST on affordable housing, 5% on remaining
Trading agreement in rupee with Iran and UAE
Common service centres up from 84k to 3 Lakh
OROP implemented after 43 years, 35000 crores disbursed to 8 crore veterans
India's vaccination programme Indradhanush amongst 12 best practices of world
5035 Jan Aushadhi and - 1054 medicines under price control (60-90% discounts).
More than 150 Amrit stores, reduction of cost of cromium cobalt Knee implant from 1.58-2.5 lakh to 54,720 and high flex implant from Rs181728 to 56490 (69%), 85% reduction in cardiac stent price to Rs 28000
87% reduction in 400 cancer drugs
Rate of Interest on higher education loans dropped from 14.75 in 2013 to 10.88% in 2019, savings of 1.18 lakh on 10 lakh loan over tenure of 60 months, Rs 2000 savings on EMI
Data revolution: Cost of 1 GB $0.26 in India against $12.37 in US, $6.66 in UK and $75.2 in Zimbabwe. Unlimited mobile+ 45 Gb data = Rs 150 against Rs 1000 in 2013; annual savings of 10,200
Katra rail line work completed after 16 years
Dhola Sadiya bridge work completed after 16 years
Sardar Sarovar Dam work completed after 15 years
Pakyong airport completed after 10 years
Chennai Nashri Tunnel after 10 years
Assam NRC after 40 years
National War Memorial after 50 years
NE cpas after 60 years
Kollam bypass after 43 years
Indo-Bangladesh enclaves after 42 years
Bansagar canal project after 40 years
Bogibeel bridge after 23 years
Western peri expressway after 15 years
Kota Chambal bridge after 11 years
Maibang-Lumding Stretch completed
Delhi Meerut Expressway completed
Ganga Expressway project (world's longest) underway
Metros in Ahmedabad, Nagpur, Jaipur, Lucknow, Washermenpet
All umanned level crossings eliminated
Ayushman Bharat: annual 5 lakh health care to every family, 15.05 lakh hospital admissions for secondary/ tertiary treatment, 2.4 crore e-cards generated as on 10 Mar 19 in 170 days. Target 50 crore people.
59minutes loan portal: 92,000 loan applications of MSME amounting to 30,000 crores approved, 6000 crores sanctioned till Nov 18
87% of farming house (owning land of 2 hctrs) or 12 cr ppl to get kisaan sammaan nidhi of Rs 6000 pr year. Rs 5215 cr transferred directly to 2.6 crore farmers in 37 days (for households with holding less than 0.01 hectares incm per month so far was Rs 8136 agnst exp of 6594
1.5 million electric rickshaws
Procurement of 36 Rafale on Government to Government Basis avoiding middlemen
05 billion$ S 400 Triumf air defence missile system deal with Russia
Udaan scheme - flight cost down from Rs 5000/1000 km in 2013 to 3400/1000 km in 2018, 34 airports operationalised, small towns connected, all states on aerial
Preventive conservation of 39275570 folios, curative conservation of 3656863 filios, digitisation of 2.83 lakh manuscripts consisting of 2.93 crore pages
India is now world's largest 2-wheeler manufacturer, 2nd largest smartphone manufacturer (94% of mobiles sold now made in India), 4th largest automaker, 2nd largest steel producer
5100 m Mandvi Bridge in Goa in 3.5 years
Ease of doing Business ranking jump from 134 in 2014 to 77 in 2019
Therubali - Singapur Bridge No 588
Restoration of Asurgarh Fort, Kalahandi
GeM portal with 731431 product categories, 180,862 registered sellers and 32114 govt buyers
10% EWS reservation
40% of ongoing 700 NH projects completed, adding 40,039 km between 2014-18 against 91,287 km between 1947-2014
Highway construction rate jumped from 12 km/day in 2014 to 27 km/day in 2019
101 terrorists and 11 offenders extradited
90,000 ex-partite Indians evacuated
Chabahar port, Sittwe port and Duqm port
Military installation in Seychelles
International logistics agreements with US, France and Singapore
Work underway on 25 MLD ZLD Common Effluent Treatment Plant at Gujarat Eco Textile Park and will save 25 million litres of water per day
Beautification of 65 railway stations, all stations fitted with LED lights, wi-fi, multi-brand food centres, kiosks, executive lounges, lifts (445 from 97 in 2014), escalators (603 from 199 in 2014), travellators and ramps
100% electrification of railways underway, first solar powered railway station (Guwahati). First solar powered train (world's second), savings of Rs 40 Lakhs and 90,000 ltrs diesel per year
Make in India semi-high-speed trains - Tejas, Gatiman and Vande Bharat
Humsafar and Antodaya trains, Deen Dayalu and Anubhuti coaches, UDAY double decker, glass dome Vistadome coaches
Project Swarn and Project Utkrisht to upgrade Rajdhani/Shatabdi and Mail/Express respectively
Largest coach production in world at ICF, Chennai
No more human extreta on railway tracks. Installation of 1.37 lakh out of 2.5 lakh completed in Jun 18.
400 wi-fi railway stations (Aug 18)
80% reduction in rail accidents
10 high speed rail corridors underway, target date 2025-26
Export of world class customised coaches from MCF, Rae Bareli
LIC and Air India register profit
2300 km rail tracks constructed, speed jumped from 4.1 km/day in 2014 to 6.53 km/day in 2018
Neem coating of urea
Gokul mission - record 160 million ton milk production
Online availability of CBSE and NCERT books
10 crore LED bulbs distributed, 5000 crore savings
Investment in urban infrastructure jumped from 157703 crores to 795500 crores
Statue of Unity to commemorate Iron Man of India
Rs 2509 crore sales in Khadi
482.36 million digital transactions worth Rs 74,978 crores in Oct 2018 against 0.3 million transactions worth Rs 90 crores in Nov 2016
30% increase in ATMs, 208% increase of PoS machines from 10.81 lakh in May 14 to 33.32 lakh in Aug 18, 111% increase in credit cards from 1.94 crore in May 14 to 4.10 crore in Aug 18, 144% increase in debit cards from 40.17 crore to 98.02 crore
Ease of Doing Business Index 142 (2014) to 100 (2018)
Ease of getting electricity index 99 (2014) to 26 (2018)
UN's e-govt index 118 (2014) to 97(2018)
Globalisation index 112 to 107 (2018)
Innovation index 76 to 60 (2018)
Competitiveness index 71 to 39
Logistics performance index 54 to 35
Global peace index 141 to 137
DBR ranking 100 to 77
India ranks 3rd in global start up ecosystem
06 crore jobs in MSME sector based on CII data
448 million formal jobs based on EPFO, NPS and PPF data
10 crore jobs in entrepreneurship via mudra and other schemes
80% increase in tax payers, 51.3 % increase in gross tax revenue
Black Money report card - Voluntary income declaration scheme (Rs 65250 crore), IT search and survey operations (35,460 crore), Pradhan Mantri Garib Kalyan Yojana(5000 crore), Benami transactions Act (4300 crore), Black Money and Imposition of Tax Act (4100 crore)
160 Rs 6000 financial assiatence for pregnant women 161/1 . Sagarmala: port capacity increase from 8 to 14.7 lakh ton, cargo up from 89 to 116 MMT 8 new national waterways including ganga waterway NW-1 and Brahmaputra waterway NW-2. 161/2. domestic cruise service between Mumbai and Goa, ro-ro services on Ghoga-Dahej reducing travel distance from 294 to 31 km 161/3. New international cruise terminals at Chennai and Goa, railway line between Haridaspur and Paradip underway, LNG import terminal at Kamarajar port, Oil berth ai Jawahar Dweep,Coal berth at Mangalore port 161/4 . deep draft Iron ore berth at Paradip berth, JNPT SEZ, Kandla and Paradip smart industrial port city, largest dry dock and international ship repair facility at CSL, modernisation of 17 fishing harbours
800 km Delhi-Mumbai Expressway underway
Replacement of bio-toilets with upgraded vacuum bio toilets in trains underway. Order for 500 placed on experimental basis.
No terror strikes in hinterland
103 new KVs
62 new Navodaya Vidyalayas
6 new IITs against 16 in previous 57 years
6 new IIMs against 13 in previous 57 years
7 IIITs against 7 in previous 57 years
02 new IISER
12 new AIIMS against 7 in previous 57 years.
141 new universities against 30 in previous 57 years
01 new NIT
Life Insurances @ Rs 12 annual and @ Rs 12 monthly premiums
Atal Pension Yojana
Pension to 42 crore people of unorganised sector
BHIM application for digital payments
Khelo India Initiative for tracking of athletes' development, Rs 5 lk per annum scholarship for 1000 budding athletes per year for eight years each; monthly Rs 50000 out-of -pocket exptr, 2000 PETs, salary cap of coaches doubled from Rs 1-2 lk per month, target 15 yrs
Special Task Force for Olympics
Bullet train maiden project
182/1. Rs 6.92 lakh crore Bharatmala project, 44 economic corridors with 9000 km road, 2000 km port connectivity, 9000km roads to connect district HQs with NH, 182/2. 2000 km road with Nepal, Bhutan, Bangladesh and Myanmar, opening up of 185 choke points, road development to char dham, 12 greenfield expressways spanning 1900 km
36 murtis retrieved and brought back to India in 2014-2019 under India Pride Project against 02 between 2000-2013, 02 in 90s, 03 in 80s, 01 in 70s and nil in 50s and 60s
Unemployment rate 3.8% against 13.8 % in 2013
India is a less-cash society now
Develpment of Trincomalee and Columbo port while checkmating China's Hambantota by taking operations of near by (15 km away) Mattala Rajapaksha International Airport
Plugging the 'double taxation avoidance' black money loophole through a new tax agreement with Mauritius
Deal with Switzerland for automatic tax data sharing from 01 Jan 2019
189/1 Varanasi - Varanasi ring road phase 1 completed, phase 2 underway, inland waterways terminal, Babatpur airport highway, 140 MLD Dinaput STP, facelift to railway station, big cow shelter for stray cattle, BPO centre, piped gas project, Varanasi-Balia rail project, 189/2. Vande Bharat Express, Kashi Vishwanath temple - Ganga Ghat corridor project, renovation of all bathings ghats, LED illuminations of ghats and major roads, underground electricity cabling, 189/3. new sewage plants, 02 cancer treatment facilities, 65th to 29th rank in swachhata sarvekshan (2016), 90% ODF district.
Creation of 100 Smart cities, 100 crore per year per city for 05 years, 500 acres for retrofitting, 50 acres for redevelopment, 250 acres for green field projects, 10% of energy from renewable resources, 80% of green building construction, special purpose vehicles.
191/1 Development of 500 AMRUT cities underway, urbanization project of rejuvenation and transformation which includes beach front development, prevention of beach erosion, improvement of water supply, replacement of pipelines, 191/2. New sewerage connections, greenery and open spaces, digital and smart facilities, e-governance, LED streetlights, public transport, storm water drainage projects in a phased manner, Target date 2022
Increase in Child Sex Ratio (CSR) in 104 BBBP (Beti Bachao Beti Padhao) districts, anti-natal care registration in 119 districts and institutional deliveries in 146 out of total 640 districts as in Mar 18. CSR of Haryana increased from 871 to 914.
International Yoga Day
Aspirational Districts Programme: 115 'backward' districts placed under 'prabharis' and for competitive development on the basis of 49 performance indicators, target year 2022.
195/1. Make in India: 16.4 lakh crore investment committments, 1.5 lakh crore investment inquiries, 60 bn USD FDI, 26 sectors covered, 23 positions jump in World Bank's Doing Business Report (DBR), 32 places in WEF's Global Competitiveness Index (GCI), 195/2 19 places in Logistics Performance Index, 42 places in Ease of Doing Business index, schemes include Bharatmala, Sagarmala, dedicate freight corridors, industrial corridors, UDAN-RCS, Bharat Broadband Network, Digital India.
251 Passport Seva Kendras (PSKs) and Post Office Passport Seva kendras (POPSKs) against 77 till 2014, target of one PSK every 50 km across India.
Unanimous election of Justice Dalveer Bhandari to ICJ forcing UK to pull out own nominee Christopher Greenwood, demonstrating India's clout in international arena.
India Post Payments Bank: India's biggest banking outreach with 1.55 lakh post offices (2.5 times banking network) linked to IPPB system
Philip Kotler award, Seoul Peace prize, Champion of the Earth Award, Grand Collar of the State of Palestine, Amir Abdulla Khan Award, King Abdulaziz Sash award, Amir Amanullah Khan award.
1900 gifts and memorabilia received by Modi auctioned and 11.7 crores added to Namami Gange fund, 1.4 c of Seoul Peace award also to Nammami Gange.
Removal of article 370 and thereby also 35a after several decades.
Giving citizenship to persecuted minorities in Pakistan, Bangladesh and Afghanistan through passing of CAA.
Trust for creation of Ram Mandir underway.
Abolishment of Haj subsidy.
Abolishment and criminalization of instant triple talak.
Deal with Bodo community.
Getting Maulana Masood Azhar listed as an UN designated terrorist.
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