How to predict markets, Catch the moves at value

I've made a first version (i'm not satisfied yet with it but it does what i pretend for now) of the pivot levels indicator for jforex where it draws the following levels:

Monthly pivots of last month plus PH/PL/TC/BC (dot lines)
Weekly pivots of last week plus PH/PL/TC/BC (dash dot dot)
and the same on daily (line) at same time
[edit]Historic values are draw depending on timeframe selected (daily till monthly). Default daily.

If someone is interessed i will share it.

JL

One in MT4 would be fantastic.

Its my pleasure always

I should be able to get from my friend some mt4 indis.................I will ask

Do not know mt4 language, but i will try to take a look when i have some spare time.
JL

Welldone

Thanks that would be greatly appreciated.

Gareth

I made a fast try creating a extended pivot indicator (daily period) for mt4, not a great thing, but better than nothing. My first indicator for mt4...

JL

Does anyone still worry about CPU cycles?

google plot_by_date

I think cpu cycles is a matter that worries any programmer (i'm not one)... if you have a dozen of charts open for sure it matter.
But who i am to say the other way...
Well, who cares

JL

I have a question : is this a thread about indicator stuff or about NFPsetups??


regards
HPT

USDJPY H4

wonderful fork - made much money, confl with levels

pajamas.

Quoting Dennis1468
UJ Overview Pre - Market 10/9 Essentially no net change for the entire month, we are right back at the place it all started between Last months NFP High and Low. This month NFP printed exact duplicate of last month. The path of least resistance still remains up and buying a break on a gap and fade of NFP resistance Zones is not a bad idea. Any move down that does not break 102 80 102 50 area can be considered strong bullish sentiment. If we do not break down further then the aforementioned then we must consider a break...




Dennis, did you delete the original post/chart?

You mean from my tech analysis on UJ no its there on prior page

I think you mean this one its on prior post this week tech analysis

well done excellent news

JPM Explains How HFTs Caused Friday's Sterling Flash Crash

Today, we provide another take, that of JPM's Nikolaos Panigirtzoglou, who looks at the "gapping market" that emerged on Friday morning Asia time, and shares some color on the role of high frequency traders behind the sudden, dramatic plung in sterling.
Below is his full note:
Fridays flash crash in sterling reinvigorates the debate about market liquidity and the role of High Frequency Traders (HFTs) as providers of liquidity. Similar to previous flash crashes such as the August 24th 2015 flash crash in US equities or the October 15th 2014 flash crash in USTs, market gapping, a step change in prices from one level to another without much trading in-between, raises questions about market structure and liquidity in FX markets.This is also because FX markets are perceived to be a lot more liquid than equity or bond markets, so the conventional view is that FX markets are unlikely to experience flash crashes or market gapping in the absence of high impact news.

The flash crash in a major currency like sterling questions the above perception and perhaps shows there are liquidity vulnerabilities in FX markets that are more similar to those seen in equity or bond markets. A step change following a significant event such the Brexit referendum or the SNB’s abandonment of its peg is not problematic as it represents a natural market resetting. But a step change triggered by an order flow is more problematic and in our opinion reflective of how vulnerable market liquidity is in FX markets also.
x

Liquidity vulnerabilities in equity or fixed income markets as a result of changing market structures are well documented. In equity markets the shift away from principal trading towards agency trading, where markets makers simply match buyers with sellers without holding inventory beyond a short period of time, took place well before the Lehman crisis. But the Lehman crisis caused a similar shift within fixed income markets. Regulatory and other forces have made it a lot more costly for traditional dealers to act as principal traders in fixed income markets, inducing them to change towards a more order-driven trading model of matching buyers and sellers with minimal inventory risk, or to retrench and be replaced by agent traders.
At the same time electronic trading and advances in technology has encouraged the emergence of HFTs as liquidity providers in the most liquid segments of equity, FX and to some extent income markets. These HFTs use sophisticated quantitative models coupled with speed and high trading frequency, to exploit small price moves. They do so by arbitraging price differences across venues or by detecting and taking advantage of order shifts or imbalances or by simply exploiting very short term momentum or mean reversion signals.
However, different to traditional market makers, HFTs tend to operate with a much shorter inventory cycle, meaning that they conduct offsetting trades within seconds or even shorter, in order to neutralize their original position. As a result they tend to quote for smaller sizes and for a very short period of time. This in turn reduces market depth, i.e. the ability to trade in size in markets, especially in those markets where HFTs are important liquidity providers like equity markets. So we note that while the emergence of HFTs has been beneficial for bid ask spreads and small investors, it has likely had a negative impact on the ability of big institutional investors to trade in size. This is one of the reasons big institutional investors have resorted to dark pools for implementing large equity trades.
More importantly, because HFTs’ models are typically adapted to exploit small price moves, HFTs have a higher incentive to withdraw from their market making role in periods when volatility rises abruptly as they are reluctant to subject themselves to the risk of large price moves. In addition, there is a similar incentive to withdraw from market making when they detect a big order imbalance, i.e. when they detect markets becoming one-sided, as they are reluctant to subject themselves to the risk of not being able to close their position in a very short period of time.
In addition, given HFTs employ similar models, this creates the risk of a simultaneous withdrawal by HFTs in periods of high volatility or stress or in periods when market become more one-sided. A simultaneous withdrawal by HFTs not only amplifies the initial market move, but also creates step changes or gapping markets as liquidity provision gets impaired and quotes are withdrawn.
How big is the role of HFT in FX markets relative to other markets? A previous report by the BIS “Highfrequency trading in the foreign exchange market”, September 2011 concluded that around a quarter to one third of spot FX trading volumes are due to HFTs. But given that this study was conducted five years ago, we suspect that this share has risen since then.
Indeed, the latest 2016 Euromoney FX rankings survey is consistent with a rising share by HFTs as liquidity providers. The biggest change in this year’s rankings has been the advent of non-bank liquidity providers led by XTX Markets who was ranked third for electronic spot FX trading with a market share of more than 10% and third for FX trading platforms. In contrast, the combined market share of the top five global banks dropped to just 44.7% for overall FX trading in this year’s survey. This market share had peaked in 2009 at 61.5% and was above 60% as recently as 2014.
Moreover, many of the banks ranked outside the top 10 for overall FX trading are understood to be sourcing liquidity from non-bank liquidity providers. According to Euromoney, these non-bank liquidity providers or HFTs are set to gain more market share in the future, helped by advances in technology, more defined business models and a lower-cost infrastructure base than traditional FX banks. HFTs are already very important in FX spot markets as mentioned above, but they look to build capability in forwards and other products in the near future.
In all, the FX market appears to be going through structural changes similar to those experienced by equity markets in the past. The advent of non-bank liquidity providers such as HFTs has reduced bid ask spread and increased market efficiency in FX markets, but at the cost of lower market depth and withdrawal of liquidity provision in periods of stress.