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Wave ONE archive

Article Author: August 20th, 2015

New Trading Strategy Will Be Implemented Within VOL2 In Coming Weeks

HFTLots of different options were weighed in recent weeks by a VOL team. Lots of decisions  – some hard – had to be made in order to improve our ROI. The benchmark has been raised and we had to adjust ourselves accordingly not to lose the value. It is not a secret that in recent weeks our ROI has experienced some lows never seen before and although overall we maintained stability – that was never enough and is not enough now. I had to coupe with the reality and the reality is that regardless of how many adjustment I make and despite all the additions of the code – we still underachieved and that was not acceptable by me or any other team member.

So, hard choices were to be made. Is our trading strategy the best we can offer? Time doesn’t stand still and new technologies are producing new products. Stagnation was no option and we have voted to replace our current trading criteria altogether. Yes. VOL1 No More. It is outdated and outplayed as we see the emergence of the new predator called HFT already for years in stock markets and we know all about the applications it has if it is by scalping the bidders or reacting on  currency crosses price changes earlier than the market, or applying non stop activity on the same assets thriving for 60+% win rates in Forex and Binaries.

We decided that we wait no more and begin implementing the HFT engine ASAP. No. We are not the pioneers of that trading strategy as our strategy of the past was based on Algo Trading which is predicting the future, now we move on to HFT which is predicting the present and we have all the access to the most updated HFT engine on the market. One that produced and is producing to the people who implemented it in Binaries unheard before ROI.

No. I am not giving up on my philosophies or on VOL1 strategies but willing to try new one that has been absolutely fantastic result wise.

Why? And how we get that technology with such ease?

Well, it is a fair exchange between the developers of that technology and us who possess the most important innovation rights necessary for HFT to be successful in general and successful in the Binaries in particular. That innovation  is called a Multi Chanel Trading and it deals with the biggest nemesis the HFT can have – the latency issues.

So, we do nothing adventurous by adding HFT to our arsenal and in return the other side also made a great deal by getting from us the Multi Channel Trading technology as well as our Money Management technology inclusive of the Registration Module, and we get in return a fully dedicated to the Binaries High Frequency Trading Engine.

Those are the news I was talking about and we hope that addition to be implemented within weeks as those we cooperate with have all the experience and a proven record with the system and that can only work in our advantage. Till then – we will continue to trade with VOL1.

Article Author: May 31st, 2015

VOL1/100PercentProfitBot Automated Trading System has reached it’s puberty age – Report

Dear friends, dear RainMaker365 community members, brothers and sisters, today I address you with an announcement of a remarkable significance for all who has been involved in our project in particular and those who are about to be involved directly or indirectly using our product in the near future.

After running rigorous testing and as the result of applying thousands of  adjustments to our financial instrument – we can say with full confidence that VOL1/100PercentProfitBot has reached the stage of absolute and ultimate equilibrium both performance wise and reliability wise. When I say equilibrium, I mean absolute balance in execution of trading positions by criteria defined by the developers integrated with highest level of protection of user assets without harming the trading flow.

How were the criteria created and what they were based on? They were based on classic studies of application of the analytic tools of price theory, monetary theory and econometrics dating back to 1940’s  integrated with modern day applications of chart analysis against the fundamental and technical analysis.

In simple words – we took the knowledge bank in economics and applied it to the modern day trading with absolute hands off approach making it reachable for regular Joe enabling him to enjoy the fruits of online technology in a way that he wouldn’t need 6 figure investment to earn 4 figures annually as offered by traditional liquidity providers but turn his 4 figure investment into 6 figures in less than a year.

Those who followed  closely over RainMaker365 the Beta Testing process of our product – know very well how demanding and relentless was the effort applied to reach the major milestone I am talking about. We had to mark V’s on the following:

Establishing multiple user accounts from different geographical regions but with similar funds amount wise using different currencies held over multiple broker accounts connecting through multiple broker API’s to the principal broker account who’s manually entered trading positions were signaled automatically to all the accounts connected which took in unison the similar trading positions. That was done with 5 Beta Testers we called the Original 5. Once that operation cycle was successfully applied – we began achieving the goal of doubling the entered bankrolls in order to substantiate the directives of predefined Money Management Systems embedded within the system then called VOL1. The very instant that milestone was reached and the bankrolls of all 5 Beta Testers not only have been doubled through manually signaling a fragment of the automated signals retrieved from the early version of the BOT as we began calling our system then, but also withdrawing half the profits from related broker accounts to the bank accounts of the Beta Testers – we began to implement the next stage of Beta Testing by transferring the signaling responsibilities to the BOT . In other words – the signals became automated and fully dependent on BOT analysis of the markets, trends and especially the trading chart behavior. All the most primitive stages of the BOT development that were described above were accompanied with endless bugs and malfunctions that had to be taken care of on the fly. And they were. That was the end of the initial Beta Testing process which began on the first week of February 2014.

The next stage of Beta Testing began with 75  more users/traders/Beta Testers rounding the number of the originals to 80. Those all had already various broker accounts connected with varying bankrolls consisting of funds unequally distributed between the multiple broker accounts all of course from diverse geographical regions and out of our control and out of our laboratory conditions but all submerging to the same automated signaling created by the BOT. At this stage we began to deal with multiple issues on hourly basis if it was simple malfunctions, out of criteria trading or lag time occurring from the time the signal was provided and by the time it was entered as a trading position by the last on line traders/users/Beta Testers. Inequities between the trades/users/Beta Testers were created because of unequal funds and unequal number of the brokers forcing those with lower funds and least number of the brokers to the end of the line. All this was created due to BOT having mind of its own and thriving to achieve the goal of earning as much as soon as possible. And I am only describing the major issues we had to deal with -again – on the fly.

But each obstacle forced us into thinking out of the box and that thinking brought us to the solution that we can take the credit as the pioneers by creating multiple channels for multiple groups thus reducing the lag time to a minimum that was not a real factor anymore while low margin trades were conducted by the BOT.

I will not tire you with the description of other issues we had to tackle with such as trading for everyone and profiting for everyone that may seem trivial but were not as easy to achieve because of various reasons that had to do with unequal funds and lower than required funds. Today I can say with a high degree of certainty that we have overcome that obstacle too and recent weeks have shown to us all that everyone is trading and profiting. Although statistically talking – we only had around 4% of the traders/user/Beta Testers suffering from that inequity – the satisfaction of resolving that issue which was not homogeneous but consisted of multiple issues some connected with each other and others not   -was a major lift to our system as one that trades equally for every one who complied with the VOL1/100PercentProfitBot trader/user/Beta Tester requirements.

I am sure I omitted more than I described as to how we tackled live in front of all of the RainMaker365/Vol1/100PercentProfitBot community all the problems and issues. But the bottom line is that we have reached the stage where we can say to ourselves that our mission of creating a revolutionary financial instrument with unique registration, trade analysis, trade execution, trading strategy and money management modules – as I said – all unique  – has come to the stage where we move to steady bankroll growth for everyone under protective umbrella which will allow us and already is to pass the stormy waters such as those last weeks on the markets – without even getting wet as we did earn tremendous amounts of money combined while avoiding high risk trades and pounding the high probability ones without a single flaw on behalf of the BOT.

This is a May 2015 Report with all the numbers present.

(equally divided diverse result mixed trades have been omitted as they have cancelled each other, unequally divided diverse mixed trades have been calculated against each other on a single trader sample. Trades resulted in ties have been omitted altogether)

Altogether the BOT has conducted 149 trades. 90 trades of 2.5%, 42 trades of 7.5% and 17 trades of 22.5% of the bankroll.

2.5% trades  – 50 wins against 40 losses

7.5% trades – 26 wins against 16 losses

22.5% trades – 10 wins against 7 losses (one 22.5% trade was conducted by the BOT although BOT wise previous 7.5% was a win. That happened because the BOT is evaluating the trade result by last expiry price versus next expiry price .

94,6% of the traders have enjoyed 78.5% profit on top of their bankroll.

2.6% of the traders have enjoyed between 78.4% and 37.8% profit on top of their bankroll.

2.8% of the traders enjoyed 37.7% or lower profit on top of their bankroll.

Altogether 6,357,622 Money Units were profited during the month by all participating traders. That is a tremendous number by all merits.

Article Author: March 1st, 2015

The Beta Testing Stages Recap before the License Registration Process and Address to Already eligible traders – How to obtain a registered cop(ies)y

13 months ago we began Beta Testing process for VOL1/100PercentProfitBot – an Online Platform enabling multiple users to trade simultaneously taking Trading Positions signaled by a single human trader in an automated and synchronized fashion. The reason for developing such platform arised within the need to eliminate Lag Time factor occurring from the time the signal was sent manually to the users and by the time the users manually entered their trading positions based on that signal. The Lag Time factor often caused a divergence in the results achieved and although the signals were conveyed in fastest way possible to the users through most advanced tools available publicly – more than 20% of the users encountered significantly different results from their trading because of the delta occurring pricing wise when they were ready to “punch in” their trading positions. Although most of the traders following the signals (which were tweeted, posted publicly over few popular websites immediately upon entering the trading position by a signal provider) reported profitable trading results – the challenge to let everyone following the signals to enjoy the profit was there and we took upon the challenge by committing ourselves to create a  platform enabling a “hands off” trading by multiple users following a  signal provided and entered by a single human trader. Of course – that single human trading signal provider was and is  me and the need to create such instrument was dictated by the fact that thousands of the traders all over the world were following my signals over couple of years prior to the decision to develop an online platform to accommodate all.

The complexity of development process required expertise in more than one field. The best experts available were recruited and we’ve been working since relentlessly 24/7 365 days a year to make our dream of enabling a regular Joe to enjoy the advantages of online technologies enabling profitable trading experience the benefits of which were in the past only reachable to few.

First we had to create a module allowing registration process for the BOT (short for Robot or 100PercentProfitBot) which also will provide registration details that can be used to connect the registrant’s accounts over the brokers with the BOT itself. That development process involved a complex procedure of using and connecting the ends through broker API. For that purpose we needed the registration module to automatically connect the user with his broker account and stay connected to the BOT. Therefore we developed a method through which with the identical log in details both for the BOT and the broker accounts would provide an easy access for the signals to reach the trader account and enter the trading position in milliseconds from the time the trading position was taken by a signal provider. Describing the process is complicated enough – now imagine yourselves the development process. Once that was achieved – we had to develop another feature which would enable the trader to use multiple broker accounts while the BOT would alternate between the accounts trying to keep the equilibrium  (later another twist was added in form of the BOT searching for best available prices and prioritizing the brokers by that criteria). We had to address many issues with the trader not being able to create an account with the BOT because of his/her prior engagement with the broker etc. Once the primitive part of the registration module was completed – we had to actually address the feasibility of the operation as whole which yet had to evolve into an automated trading system while at this stage it only was to fulfill automated signal providing capacity.

In parallel to all the described above – we were in a midst of developing a unique money management system which at it’s modular stage we named a Money Management Console which had yet to evolve into a system and be integrated within the BOT as one of the most important component. The complexity of the Money Management Console development laid within a fact that we had to “teach” it to read each trader’s balance over each broker, add the numbers up and define an overall bankroll out of which the system had to define trade sizes according to the code (I’m talking about the time prior to turning the system into an automated trading system) which was to be fed by the parameters of the signal. That means that if the signal entered manually into the system was 2.5% of my bankroll – the BOT had to quickly reassess the bankrolls of each trader and decide for them accordingly the size of their trade.

That was the stage when I came to realize that the BOT is “thinking” much faster than me and is able to take decisions based on my analysis in much greater scale and with multitude of tasks being performed at the same time. Once the the decision to automate the trading system altogether – we began a complex programming process involving basic code which had to be coded with various scenarios and the reaction to them by the BOT. I can keep describing the coding process and this post will transfer into a novel if not more than that. Essentially – the coding process continues as we speak and will keep developing in a dynamic way as required by the development of such complex tool as Financial Instrument that deals with ever evolving markets on hourly basis.

Integration of the Registration and the Money Management modules was next on our task list. The multitasking challenge standing in front of us was monstrous: while integrating the modules – we also began first beta testing stage called Wave ZERO where the first 5 beta testers funded their accounts over 3 brokers at the beginning each account with 10,000 Money Units – 30,000 Money Units per beta tester – and began trading according to the signals provided from me to the BOT at the beginning while “teaching” the BOT to analyse the charts, and at the later stage – the BOT providing an automated signals and trading for the 5 beta testers in their respective broker accounts. The trading was done with alternating the trades between the broker accounts with the clear goal of achieving 3 initial milestones – conducting online trading for 5 beta testers each positioned physically at the different geographical regions connected through various internet providers with various IP addresses – thus working outside of our “laboratory”, doubling the bankroll and processing the withdrawals to test the brokers as well to time frame each process. I can write the book describing obstacles and challenges we had to face and overcome at that stage. But, we did achieve all our goals set for that stage and did it in a relatively tight schedules.

The next challenge was connecting more than 5 beta testers and activating automated trading system with various add on’s allowing us to beta test the feasibility of trading for tens of the traders with various bankroll sizes using more than 3 brokers. Suddenly we had to learn how to work with different broker pools for each trader also having various number of accounts unlike the first beta testers who had all set up  in similar and orderly fashion. This stage we called Wave ONE and 75 more traders have joined the beta testing stage. Wave ZERO stage gave a birth to tens of new challenges and obstacles on our way – in form of Lag Time issue in its new version, connectivity problems and many other issues that had to do with the great diversity of the traders as well as the brokers and the bankrolls. Once we were joined with additional traders – hundreds at the beginning and the thousands later  – we also learned that our BOT has developed an “Artificial Intelligence” prioritizing the traders according to their bankrolls and the number of the broker accounts they have. At this stage Wave TWO  – the final and mandatory stage of Beta Testing has begun and we found ourselves dealing with multiple issues sailing uncharted waters. We applied different measures to resolve various issues and created few groups of the traders to keep the integrity of equality principle and trying to give a fair chance to all the traders regardless of their bankrolls and the number of the broker accounts. Well, that was not easy and only recently we have achieved (at the great expense and effort I must say as it involved developing 6 completely independent, yet identical channels for 6 groups of traders) the goal of reducing the divergence in results between the traders in cases when the low margin between the entry and expiry prices caused some traders to win and the others to lose for the same old Lag Time occurring between the first in line and the last in line traders. It also helped us to trade for all simultaneously and with no waiting time between the groups. I made the story really short and simply have no patience to describe or remind all the various solutions we applied to overcome the trading issues as trading for everyone and integrating all the accounts into Gamma Trading Platform previously reserved for high rolling high risk beta testers most of whom were the original 5 beta testers. The events which rocked the markets globally were a a great factor in taking that decision. We were and are always for the equality of the traders BOT wise and even if the minority of the traders experience losing experience from time to time – for us it is essential to create a system that there will profit for all equally. That is the reason for our efforts to bring all the possible and existing tools to the trading arena and the manual signal intervention capacity on my part is one of them. We tested it only recently and the tool that enables me to enter the trading manually as in the beginning – but with thousands of traders today – is enabling me to enter the trading position for all when the BOT is idle because it does not find one of the predefined patterns to follow or enters the trading position which obviously is going wrong way regardless of the reasons for it.

Beginning this Monday – we will enter totally different path of trading  as I will dedicate more time to trading issues  and our friends here will take upon them the system development and maintenance duties  to free me for trading supervision and intervention when needed along with further coding of the system.

There are much more subjects to cover here – but that will take forever. I just covered the most essential from my own perspective.

To check your eligibility for the free copy of the license to trade lifetime with 100percentprofitbot as an original member of the beta testing team – please email us with your details at



Article Author: February 8th, 2015

Gamma for All – recapping the first week of an official Gamma Platform Trading for All

Although officially the trading for all the eligible traders with Gamma Trading Platform began on last Monday,  February  2nd 2015 – the implementation of the system integrating all the eligible 100PercentProfitBot traders accounts within the Gamma Platform began on 27th of January 2015 following on decision  made by VOL1/100PercentProfitBot team. We were  reacting on the SwissNationalBank triggered events which threw the financial  markets into the turmoil.  The EuropeanCentralBank was supposed to provide the financial rescue vehicle in form of protecting the assets from wild speculative moves on part of the modern day “market  robbers” – but the ECB “froze” and its indecisiveness created even more turmoil. The regular financial instruments became useless in face of carefully orchestrated moves that had to do more with international politics than with the finance. That was the stage when 100PercentProfitBot versatility  – based on 3 different, totally independent from each other and absolutely modular trading systems  –  became handy.  Volatility and Slope Up/Down systems were traumatized by recent financial events and we decided to move all our traders to a carefully crafted, reverse engineering based Pattern Trading system which was previously an exclusive trading platform reserved for high risk experimental trading inhabited by “high roller traders” (original Wave ZERO Beta Testers) with bankrolls of over 30K. They were kind enough to cooperate without any reservation to allow us experiment with massive trading with the platform which till now was being used by only a few in a totally protected environment avoiding the risks of being bad priced because of  low margin trading results. They still reserve their obvious advantage based on large bankroll+max number of the broker accounts, so there was not really any reason for them not to welcome the changes that would benefit all.

We know that without addressing the issue of lag time between the first trader entered to a trading position by the BOT,  and the last one – we would once more have at our hands the issue of divergence in the results achieved. More than 2000 traders engaging the system simultaneously would for sure cause even bigger divergence in the results than before with the smaller number of traders. Therefore  – since we did not want to leave any eligible trader behind as we never do  – we decided to divide the traders into few groups that would trade separately from each other creating less lag time and allowing better results overall for a greater number of the traders. We just had to experiment with various numbers per group to find a close to perfect golden line that would not cause the last on line traders be affected by a bad pricing. That was the purpose for beginning the implementation while trading on 27th of January. We experimented with various numbers of the traders per group and stretched it till the moment where we saw that the bad pricing affects the trading results for more than a few. That experiment was very useful as the results achieved last week prove clearly that the bed pricing had a minimal to none affect on the trading results. The conclusion was that having more than 750 traders per group trading simultaneously is not safe from bad pricing issues. So, we divided the eligible traders number of which at that precise moment stood at 1982 into 3 groups: Group A, Group B and  Group C. 660, 660 and 662 were the numbers which today are of course different as the new traders are joining the list of the eligible ones on daily basis as well as those who encountered some issues trading before for various reasons – are also joining the trading circle.

Anyways – here’s a recap of the trades conducted on Gamma Trading Platform:

Between 27th and 29th of January 2015 unofficial experimental trading for the groups in order to find the right number of the members per group::

Group A  6-2

Group B  5-1

Group C 6-2

Groups A & D 5-1

Groups A & B 2-4

Groups A & C 3-2

Altogether  27-12

At this stage the traders are finally divided into 3 groups with defined traders per each group.

On Monday, 2nd of February 2015 the official trading with Gamma Platform have began and continued through Thursday, 5th of February:

Group A 4-2

Group B 5-1

Group C 4-2

Group A 14-10  (for the 1st time the Algorithm is activated and Wins at 7.5% bankroll trade size)

Most ended up 18-12 group A both sessions while one of the wins being a 7.5% size of a bankroll win. Those who traded with minimum sums of 25$ and 75$ in case of algorithm with 25% juice ended up with 75$ profit ((17X25X0.75)+(1X75X0.75))=318.75$+56.25$=375%, 12X25=300$. Profit=375$-300$=75$. An average juice for those 30 trades with all traders and the brokers used is 22.6%. So the real average profit is for minimum traders – ((17X25X0.774)+(75X0.774)=387$, 387$-300=87$ An average profit size considering not all ended up with the same result for those two sessions was 274.75$. Far from our goal but still a profit considering it was not a regular session with so many trades. Now, those are the numbers from the BOT and I just spread it out here for you to see what is achieved when we put as a goal to profit in any scenario and trading all the way till we do profit which I am sure I never saw anyone or anywhere has been achieved

Group B  4-2 (with 2 Algorithm Wins at 7.5 bankroll trade size)

Group C 3-5 but with a twist -Algorithm trades: 7.5% 3-2, 22.5% 1-1, 67.5% 1-0). Regardless to say the biggest profits being achieved with 3-5 record. The beauty of the Algorithm integrated with Gamma. 3-5 and still – the Minimum sum traders won on this sequence in average 289.75$!!! Average profit from the sequence considering all the traders with various bankroll stands at 1057.75$

Altogether 34-22, Algorithm 7.5% 3-2, 22.5% 1-1, 67.5% 1-0

Summing up all the trades for all the groups besides Group D that is no more in existence since the experiment was conducted: 61 wins, 34 losses.

Results since the implementation of the Gamma Trading Platform from Monday February 2nd 2015 per group:

Group A  – 18-12  An average juice for those 30 trades with all traders and the brokers used is 22.6%. So the average profit for minimum traders stands at – ((17 x 25 x 0.774)+(75 x 0.774)=387$, 387$-300$=87$. An average profit size considering not all ended up with the same result for those two sessions was 274.75$.

Group B – 9-3  An average juice for those 12 trades with all traders and the brokers used is 23%. So the average profit for minimum traders stands at  – ((7 x 25 x 0.77)+(2 x 75 x 0.75)=247.35$, 247.25$-75$=172.25$. An average profit size considering not all ended up with the same result for those two sessions was 541.25$.

Group C  7-7  An average profit for minimum traders on the two sequences (4-2, 3-5 with algorithm trades 5-3) stands at: 317.35$. Average profit from the both sequences considering all the traders with various bankroll stands at 1155$.

Those numbers are not even near the target. They are positive and and in the right direction, but the frequency of the trades has to increase in order to achieve the goals in preset time frame. The positive thing about those numbers besides them being moderately profitable – the system works correctly and is functional. The ultimate number of the traders per group is found and “targeted result trading” has proven itself. But on top of all those – the most positive thing is the implementation of Algorithm with Gamma.

***I want to thank MK for taking over  the forum in the days I fell ill and informative comments some of which were quoted above.

Article Author: January 28th, 2015

Upgrading the trading platform to GAMMA – the goals and the implementation

The Gamma platform is a trading platform based on searching and finding a winning pattern  by applying a reverse engineering. The platform has a unique way to extract a winning trading patterns from defined time segments circumstantially and finding similar trading patterns by comparing it to the current trading segments with similar circumstances. Once the similarities are found –  the defined criteria is fulfilled and the trading position is taken. The trade size is also defined uniquely by reverse engineering by rather defining the winning sum against the risk taken than predefining the trade size.

We have been toying with that idea for long time until finally applying it 3 moths ago with 100percentprofitbot live trading with Gamma group of traders taking upon the risk managed positions similar to those of the test pilots flying the aircraft for the very first time. The risk paid off handsomely with Gamma traders but also convinced us that the risk is worth taking with wider circles of traders since the major financial institutions have failed to protect the markets from disastrous effects the SNB decisions on Euro and the ECB indecisiveness on the matter have caused.

In simple words – accumulate enough data base from a time defined past trading to be analysed forming winning sequence and apply it to the current trading once the similarities found are enough to link the current trading sequence to that of the past.

Now, that worked fine for 3 months with small number of the traders “secluded” and not affected by the “bad pricing” since the lag time between the trades taken by the first trader in line and the last trader in line was not significant enough to cause the discrepencies result wise. In most cases  – I must say. So, in order to make the “patternization” to work for all the traders within 100percentprofitbot/VOL1 – we had to come up with some kind of a solution where the large number of the traders would not cause the same lag time isuues as it already did in the past before we toughened the trading criteria. Therefore the division into several trading groups not exceeding 315 traders each is being tested as a viable solution.

As of now  – the first two groups just completed trading sequences. The first group trading sequence ended up in winning 6 trades and losing 2.  The second group trading sequence has just ended up with 5 wins and 2 losses. None of the traders participated in both groups except the original Gamma traders who trade all the trades all the time.

According to the guidelines from our last board meeting  – all the trading accounts of all the traders will be integrated into the Gamma trading platform by Monday. Those with Alpha group will still enjoy the privileges of big bankrolls spread over the biggest number of the broker accounts in cases of a very low margin outcome trades, but note that with Gamma – that sort of outcomes are rare. So, basically – everyone will be trading using Gamma trading platform.

Our major goal is to sail through the stormy waters safely and emerge as winners.

I will have more in depth about the Gamma in upcoming Webinar.

Article Author: January 9th, 2015

VOL1/100PercentProfitBot in Depth. 2015 Trading Begins in Full Speed Monday 12th of January

Here is an update on all the upgrades, in depth explanation how does the BOT chooses its trades and under what conditions are conducted System and Algorithm trades. I don’t mind to have it all open here and I am not fearing someone copying it as it is protected by a law as well is not that easy to implement. Those who follow – know how much effort, time and resources were invested in it and we finally have all the sides covered.

In order for the BOT to search and identify trading opportunities – I have to decide which of the 3 Chart Behavioral conditions have to be filled and activate the BOT to search the pattern:

1. The occurence of 4 consecutive expiry times (30 minutes, or 1 hour) ending in an opposite directions of the price movement on the same asset within either 30 minute or 1 hour expiry times. In our terminology  – Alternation X 4. In that case – the BOT will choose the same direction as the last one and compare it with Fundamental or Technical analysis of that asset to assess the feasibility of the positive trading result within the expiry time the alternation happened with. We have changed the previously continuing alternation after statistically proving that for Algorithm trading purposes – that approach bears the best results.  Alternation X 4 is only for Algorithm trading and will not be used for system trading. In order for me to decide to order the BOT to take that pattern of search and identify – certain market conditions should appear preceeded by a proven Fundamental analysis result (Technical analysis). That means that every trading session will begin with 2.5% (of the bankroll) trade size and if lost – will increase itself to 7.5% the next trade and 22.5% in case of two losses. The trading Session will stop after  that and will not trade the 67.5% the bankroll trade.

2. The occurence of 3 and in some assets  – predefined by me – 4 consecutive expiry times (30 minutes, or 1 hour) ending up in a  price movement in the same direction. We call it One Direction X 3/4. In that case the BOT will choose the opposite direction to the direction that was repeated and will seek an objection by Fundamenta or Technical analysis and in case there will not be any objection. The objection process is initiated if previously entered manually as one of the two forms of analysis. One Direction 3/4 is for both – System and Algorithm trading purposes while in case of algorithm trading – will also stop at 22.5% and won’t go any further.

3.  In this pattern the BOT finds it’s trades based on similar market conditions statistically occurred in the past and the trade size is 5%. The pattern is good for the system as well as algorithm trading system just that during the algorithm trading,  the initial trading aize will be 2.5% of the bankroll. The rest will be  like in a previous chapter. We call this pattern Statistical Pattern and it will be the Default Pattern. It is good for stable market behavior and will be chosen by me accordingly.

We have invested an effort and time reverse engineering the trading process by searching through trading history on all assets using half an hour and an hour long trades. We ran different scenarios with different time spans back. We correlated the financial calendar related events as NonFarm Payrolls etc. to identify the precise influence Fundamentally and Technically within 24 and 48 hour windows. We figured the scenarios which will not have 4 consecutive losing trades to protect the algorithm trading.

Another important if not the most important aspect touched technologically was rapid response development for the trading positions entered.  The most important aspect of improving the BOT functionality is conducting the “next” trade immediately after the previous one when using the algorithm trading and responding to loss. We made lots of mileage on that subject as one of the reasons – as I previously stated – of different outcomes of the trade with the same asset and with the same expiry time was a lag time occuring between entering  the trading positions of the first traders in the line and the last ones. As the number of traders have increased rapidly -so did the number of the trades the BOT had to conduct and reducing the lag time between the trades taken became our number onne priority at that time. The Spot (SpotOption is an overall platform provider for the group of brokerage brands the BOT is connected to) API was able to accept 300 orders per 3 seconds from all the brands and including all kinds of orders including registration or just a page refresh – so that was a universal issue as we saw it and although Spot has been very cooperative on the matter and increased the numbers of orders per 3 seconds – still the issue will always be there. Creating separate  packeges of traders leading to creation of Alpha Traders Group has helped a lot, but lag time will always occur. The other way to deal with it was toughening the trade entry criteria for the both to reduce the negative effect of price differences. Overall – there is no absolute solution. But there is also another side to that coin as in some cases the price difference seemingly negative at the beginning has become positive as the asset price at first went against the BOT chosen direction. The third way of dealing with that issue was putting the limits for the BOT which if surpassed – the BOT would go through the list of the traders without taking a trading position and will enter it only when the price is within the allowed boundaries. That has resulted in some traders being passed on by the BOT and they stayed out of trading altogether.
We have consulted with the developers of the major high frequency trading platform provider firms and they too have the same issues with trading in line but the effect there is less visible.

More to come about what is scheduled and how the licenses will be registered and officially owned by you

Article Author: December 10th, 2014

Winners Never Quit (and the quitters never win)

In recent days – I’ve been asked by immediate family and friends: why you need all this? You have more than you can ever spend, you can do perfectly fine by yourself and avoid the daily stress you’re subjecting yourself to. And for what? For whom?

Well, my answer is always the same: Passion. Vision. Comradership.

I don’t want to be just another person who came to this world to pay his bills, buy some toys and observe from the side the modern world inequities and lack of poetic justice. I have a vision. I have a faith. I have a reason to be here. Reason I created for myself.  I like it that way. I do not believe in raping the nature the way we are accustommed to. And forcing the individuals into a modern day slaveryt by creating a never ending consuming temptation without supplying the consuming means – is raping the nature. I do not believe we were born to serve anyone or anything. I believe that mother nature who engineered us to be what we are physically and mentally had a grand plan envisioning each and every individual’s part in it. And that part was not taking upon two or three hated jobs to only being able to pay the bills. I believe in total freedom to do what we like to do. It is embedded in each and every one of us. We are all coming to this world as equal members. The nature has a part for each and every one and all we have to do to find that role. For that we need to have a worry/stress free time to find that something we enjoy to do most. And once we find it  – that something that we will do even if that was for free – we will do it so good that one day we will get paid in big. That is a true nature. And our financial structures are raping that on a daily basis killing thousands of talents and deppressing the free spirit of a human being.

Well, I am sure I am not the only person who notices that. I am sure many of you share that observation. But I also have a vision and believe that I am well equipped to deliver the financial instruments to achive at least small fraction of that financial freedom – the slogan so many like to use without delivering it . And yes – I have to pay that personal price to achive my goals which is creating a mass product that can not only force to spread the wealth in a better way equality wise and thus heal the modern day economy – but apply the pressure at the right points of financial distribution, force the liquidity providers into a corner where they will have no choice but to take a notice of a regular Joe who is able to apply a new order initializing the capitalist tools for his advantage.

I heard countless times the phrase – give man a fish and feed him for a day, or teach man to fish and feed him for a life. Well, yes. No one will get hurt if more and more people will be able to control their lives without being constantly worried if they will make the ends meet every month.

Comradership is what we have demonstrated here at the RainMaker365 day by day. I am proud of all of you who have bought into the idea and the best example was the last weekend when I received countless emails with kind words full of support and the stern belief in our way. Thanks for that.

Now, to the tremendous proggress we have made in recent days  – and all thanks to that Friday morning which forced me and the team to super focus on securing the algorithm from repeating the sequence of the trades that paralysed many including us. This is a true Beta Testing and after we have overcome countless setbacks and struggled our way without looking back – I can tell you with an absolute conviction – we found the formula for a success. That formula is responsible for a fact that despite craziest market behavioral pattern I remember in recent years (and I do not need analysts to tell me that a or deny it – I can detect unpredictability hidden under fake conviction) – the BOT did not have more than two losses in a row. It means that algorithm – if was applied those days – would have created us tremendous profits.

The following sequences happened in recent days: loss of 25 MU trade, loss of 25 MU trade, win of 25 MU trade (+20), win of 25 MU trade. That  – for an example – would be translated into an algorithm language as followin:  loss of 25 MU trade, loss of 75 MU trade, win of 225 MU trade (+200). Each sequence that does not end up with 4 consecutive losses is a winner sequence for us with algorithm trading. So, the test we conducted and are still conducting it – began with the most strict criteria for entering the trade which we are losening slowly to reach the point of perfect balance. In matters of days we will be light years ahead of where we were before Friday. And all thanks to our own personal and literal black Friday. This the most defining moment for us as the creators of the BOT and you – the Beta testers. This is the moment where we go from testing to assured profits.

I know. We are learning all the time. But we did not quit before and did not quit now. And we always turned the corner and did so this time too. because the Winners never Quit!!!

Article Author: November 25th, 2014

ALPHA – What Are We Doing About It and How You Can Take Advantage of IT

Now, when we have an absolute answer to what was the cause of the discrepancy between the trading results for various traders – it is a time for applying a resolution to the problem. But – with all due respect to those who got the short end of the stick – is there really a problem? And if there is – is it a problem for everyone or just for the small group who underfunded their accounts against our good advise or opened less than 4 broker accounts as we advised? No, please do not be alarmed – we are not about to blame anyone for their own losses and are very sensitive to the issue as we created the very system from the beginning to serve each and every individual on this planet. What I am trying to say that we have to look to the truth in the eyes and check ourselves first before being ready to apply the true and viable solution which can maintain the profitability and yet do not discriminate anyone who complies with Money Management System directives. Well, that is very good but what about those who did exactly that – depositing 250$ in 4 accounts as instructed and still experienced losses? Legit question. So, here is the answer: we searched our database and cross checked it looking to see what Bankroll holders over How Many accounts achieved what kind of results. So, here it is: 88% of those who had accounts over at least 4 brokers with at least 2044 Money Units (USD, Euro or GBP) – emerged winners since they have joined the 100PercentProfitBot(VOL1). The number is absolute because not everyone joined at the same time and thus not everyone conducted the same amounts of trades – but generally speaking – Over 2044 is Good. Under is Not So Good and Under 1000 or 3 broker accounts is Bad. 1000 Money Units over 4 broker accounts was not so far the great success because it was in a minority place compared to other accounts. Much more people funded their accounts over 1000 Money Units than not. And yet to have a decisive winning record as everyone under 2044 Money Units borderline began mixing the wins with losses. Now, you have to understand that not all the trades were close margin trades – therefore  – not all the wins or losses are the result of how fast the BOT entered you in a trading position.  The BOT too did not function all that well and we already know why> You must have noticed that the trading lately was conducted with a flat 25$ per broker stakes. After searching through the Logic Code of the BOT we have discovered that we had written a precautionary note saying – IF the BOT won’t find any trades that fit the criteria over the period of 24 hours – the BOT will force a trade using the closest parameters to those set as a criteria. Since we left the percentage box definitions empty – the BOT simply took minimal trade sizes over all the broker accounts the trader had accounts with as a default. Ok, but if that was the case why did the BOT continue trading after one trade and did not wait for another 24 hours? And when he stopped trading – what triggered that stop? I can say with utmost confidence that the BOT did not do something he was not programmed to as well as it did not stop trading because of its own decisions. The reason the trading continued was the absence of stopping instruction conditions in the sequence and the reason it stopped was because the asset price behavior was out of “closest to criteria” limits which were predefined. Bits and pieces of codes that now we are searching throughout the whole code. Certainly a bug we created by missing the value at the loop from the very beginning – but still a fact. This is a Beta Testing and things like this happen as the Beta testing is designed for finding bugs. Now, we did not foresee that there will be a crazy trading week as we had last week when the BOT will have a hard time finding the trades fitting the criteria especially after we have toughened them and re toughened them again after few unsuccessful trades the BOT took being influenced by a general feeling of panic among the traders. Following that feeling was an erroneous decision on our part. I want you to know that every error we make will never be repeated and most of them were done while trying to fix the system in hurry under the pressure of new traders joining and demanding trades right away. No more. The BOT will be idle when we decide it that we should address some issue and anyone not liking it – can leave. No more giving ins to a public outcries usually to do with pure ignorance and greed. Those who are here for a five minute hit and run trading – are welcome to leave now. This is a serious business and those who will follow my way of thinking will profit and big.

This article will be continued and completed very soon as you can see by the title – it will be interesting read.

Article Author: November 21st, 2014

Alpha Trader Group

What happened in recent days was very odd for me and all the team members who had a chance to look at the greater picture than can be seen from the perspective of a single trader.

The teams attention was drawn by the discrepancy between the trading results achieved by different groups of traders. Some traders won big while the others lost their trades and all this while all conducted the same System trades on the same asset and with the same expiry time. We had to get to the bottom of that and began searching for the answers. The first thing we established was that mostly it occurred  when the delta between the entry rates and expiry rates was small, and on contrary – when the delta between the entry and expiry prices was big – all the traders ended up with the same result. Naturally – the first thing that came to our mind was the Risk factor played by the Brokers as they usually are an immediate suspect in the minds of most of us. All this because once they used to mark a winning trader and whatever direction he took – call or put – they activated a Risk factor against him reducing significantly his chances of winning the trade if the outcome was close. But that practice has been obsolete for some time and another fact that contradicted that assumption was the fact that most of traders that were affected by unfavorable pricing at the entry level were the traders with smaller trade sizes and most of those who got favorable (close or similar to the price displayed by Reuters or Netdania, the price system identified as valuable enough to take a trading position) price and ended up winning were the traders with a bigger trade sizes. So, any foul play on the part of the brokers did not make sense. Why would they marginalize the small trade size positions and would not do the same to bigger trade size positions?

So, at that stage we had established the following : the discrepancy occurred when the delta between the entry price and expiry price was small (close trade outcomes), the reason was the pricing at the entry level while the winning trades got more favorable pricing than the losing trades and the losing trades were of the small size trades while the winners were bigger size trades. But why? Since the Brokers did not seem to interfere as it would not make any sense to interfere with the trades and make the small trades to lose and big trades to win. So the answer was obvious and all we had to do is check the timing of the trades. Of course the hindsight is always 20/20 and that was the case here too. The trades that were won while the margins between the entry and expiry prices were small – the winning trades were those of bigger size and taken close to the execution of the trade by the system while the losing ones were those executed later and were of the smaller size.

When we ran it in parallel the picture became even clearer: it was one to one – bigger the trade size – the trading position was entered closer to the execution time and subsequently got the better price. Smaller the trade size, it got executed further down the timeline and subsequently the less attractive size. The Lag time as we call it decided many trades outcomes.

Well, very good that we established the facts, but what about the factors that influenced such inequity between the traders and their trades? Why would the bigger trades be executed earlier than smaller trades while we did not enter that in the logic of the system? And why would be such lag time of few seconds while we took all the precautions and reduced to the minimum the lag time by threading and packeting  thus helping the syncing process.

The answers were right in front of us but it took us time to see them: because of mass joining process to the bot by new beta testers and a drastic increase in the number of users – the lag time piled up affected by the time occurring in transition from packet to packet (traders were packeted in groups to avoid system overload on Broker platforms avoiding “getting stuck” situations). Ok, while we had an answer to why lag time was of a few seconds at the least – we still did not have an answer on why the System chose to trade with the bigger trades first and smaller trades later?

After some brainstorming and looking into the system’s performance logic we were shocked to discover that VOL1 (100PercentProfitBot) has developed it’s own logic based on the code and performed on  Artificial Intelligence capacities. Since the main goal of Money Management Module integrated withing the system is producing the maximum profits – VOL1 acted on that logic by first trading for the traders with a bigger market value – bigger bankroll and most accounts. Those who had more funds in more accounts establishing a singular superiority over those who had least funds in least number of the accounts. That was amazing thing to see how the system prioritized it’s goals reflecting on overall Money Management directive to accumulate as much profit as possible per each action it takes.

We began running all the data to figure the numbers involved and this is what we came up with:

The middle of the graph of the winners stand at 2044 money units (the sustem does not differ between the currency values for the user). That means that accounts with average 511 money units over 4 accounts and 404.80 money units over 5 accounts are the last line of the users who win the trades  in a 20-0 rate we had last night (5 trades were won and those with 4 accounts with that bankroll at least still had 20-0). Once you go bellow that line the winning rate begins to decrease like one trader who commented that while some posted  18-2 and the others  10-2 (had less accounts funded) etc all the way to the bottom where there were 3-2 results with single broker (not all the bad pricing cause losses as some trades are won by a big margin making the pricing insignificant).

So, in order to gradually increase the system overload and also create some separation between the pole positions  – we created Alpha Traders Group or 5000 club as we call it here because of the average bankroll size of those traders who were assigned there first. We want to create more equality in trading prioritization by the system, therefore we created Alpha to accommodate bigger traders first (bankroll and the broker accounts) and assigned there also the traders who depleted their funds and funded it again to be at the level 2044 money units scattered over 4 or 5 broker accounts. We also will have the groups for smaller traders and smaller etc. The only thing is that I’d like to supervise all this process and see it through.

Conclusion – the main one – although sounds like a commercial, is that More Money you put to work for you  – better the chances of gaining in the process.

Article Author: July 7th, 2014

VOL1 Automated Trading System – Wave ONE Beta Testing stage – General Address to the participants

When expecting something good – time passes to slow before we get there and too fast once we are there. We have made a quite a mileage getting where we are and overcame most obstacles and made sure we’re not only trading profitably  – but also get our profits into our hands. Now, it is the time to expand our experience and turn it into something easy to use for a regular folk.

While Wave ZERO Beta testing group tested a technical  functionality of VOL1 with 5 (6 with me) users holding similar bankroll over the same 3 brokers  – several very important goals were achieved: we solved some technically complex issues that had to do with a system functionality as well as trading timing and the sizes of the trades relative to a bankroll as well as continuity of trading under gradually increased criteria dictated by the Money Management Console.  We did not give ourselves any breaks and once we achieved a goal of doubling our bankroll – we got right down to it and withdrew half the profits as planned. And when doing that – we did not do it with small volume but with the sums that tested the designated brokers’ responsiveness to withdrawal requests and the time span the procedures took. Doing that – we made sure that with smaller volume there would be no problem performing the same steps of trading, profiting, doubling the bankroll and withdrawing half the profits. None of the Wave ONE beta testers  – with all due respect  – have an initial bankroll size of Wave ZERO beta testers and the simple logic says – if you can do it in New York – you can do it anywhere. You all know what I mean.

So, what are the steps the Wave ONE beta testers have to take in order to begin beta testing? Simple. Every day – beginning today  – 10 to 12 beta testers on our list who have at least $1,000 combined bankroll over at least 3 brokers – are receiving instructions how to connect which will include Registration to VOL1, entering the user details with each broker in a designated area (screen shots will be sent to simplify the process), agreeing to the terms dictated by brokers in order to allow your accounts to be connected to VOL1 and hitting the start button. Please note that Wave ONE beta testing stage is designed to make a user interface as friendly as possible and you will have to make your contribution on the subject by letting us know what parts of UI you think should be improved and in what way. It will be an open discussion and all the opinions are welcome. On our end, we also will be testing VOL1 performance with 69 (that is the number of the qualified testers on our list) users simultaneously while in the beginning we will test general connectivity for the smaller groups of 10-12 users as stated before – personally assisting each user if needed making sure he is connected and ready to trade, that to be followed by personal guidance if needed at any stage if and when some issues may arise. We are not aware of any issues that should arise but are ready to address them with technical manpower and bank of knowledge at our disposal for those purposes.

Patience is very important while dealing with finance and in our case – is a must as we know that we have a special product at our hand and do not want to make any mistakes dictated by rush approach. In our case – easy does it and the goal of doubling initial bankroll and withdrawing  half the profits is an immediate one. That can last few weeks or days – depending on how the system will perform from the moment it is activated and also depending on market producing trading opportunities matching VOL1 trading criteria. One way or another – no shortcuts will be exploited and at the end – we hope to celebrate a success with you as we did with Wave ZERO beta testers.

The final note for this article is my personal gratitude for the trust and a vote of confidence all of you  gave VOL1 and our crew.

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