Funchaprofit
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we are happy about the next listing @coinpaprika. With Coinpaprika we have the first overview page with statistics and information.

https://coinpaprika.com/coin/fucha-funcha-coin/
Last week was our last round of the giveaway.
But don't panic, we have something very special for you.
I won't reveal the details today.
However, I will keep dropping hints. But feel free to guess along.

Whoever posts a correct hint first will be rewarded!

We will start with the new game on October 1, 2021.

Today we give you our next hint...
As a special highlight, we are giving away a Fucha Master Node.
Everyone has the chance to participate.


How do you get tickets?
- We give away raffle tickets several times a week through our giveaway.
- By special participation in our community you can get more raffle tickets.
- Invite new people - for every person who comes to our server through your link, you will get raffle tickets.
- Become active, help others with questions. Activity in our chats will be rewarded with more tickets.
- And as a bonus we always give away more tickets in bonus rounds.

You see, everyone has the chance to get as many tickets as possible.


Rules:
- Everyone is only allowed to participate in the raffle with one account.
- Employees and moderators are excluded from the raffle.

- Tickets can be collected until December 15, 2021. The raffle will take place on December 19, 2021.

- Each ticket is a wallet address generated by us, all wallet addresses are secured in a main wallet with the respective Discord user name.

- The winning ticket will be filled with 1000 Fuchacoins. The winner will send us a wallet address so that we can pay out the prize.
*What exactly is it that causes each uptick or downtick?*

These are the only two pieces of information that a price chart can express; a down-tick or an up-tick. What causes these tick movements?

If you have been led to believe that the prices move depending on the number of buyers and the number of sellers; if the number of buyers is greater than the number of sellers, prices go up, & if the number of sellers is greater than the number of buyers, prices go down. Then you would be wrong. The number of sellers or buyers is not what moves the price. What if one seller is doing all the selling to thousands of buyers? The price will go down. The answer to our question is that it is the degree of aggression of the buyers or the sellers and the volume of order-flow they submit is what moves the price. If a seller is aggressively executing large amounts of sell-orders at the current market price, the price will tick down. If a buyer is aggressively executing large amounts of buy-orders at the current market price, the price will tick up. The volume of the order-flow being transacted is the key. For every buy-order, there must be a sell-order. When the buyer demand exceeds the available supply of sell-orders, the prices increase. When the seller demand exceeds the available supply of buy orders, the price will drop. This entire process is occurring constantly and the market is always trying to reach an equilibrium where buy-orders and sell-orders are continuously matched up to give us the current market price, for that specific moment.

The number of individual buyers and sellers is not as important as the amount of order-flow volume that each buyer or seller is transacting. The amount of order-flow volume being transacted at any one time and the aggressiveness of the submitted order-flow is essentially what moves the price. The degree of aggressiveness is the degree to which price will move. That is the story behind the up-ticks and down-ticks.
RISK MANAGEMENT

For every trade that you take, there is a certain scenario playing out. The moment that you clicked, for that moment of time, there were a certain number of market participants buying a certain amount and there were a certain number of market participants selling . Do you believe that the same participants transacting when you clicked for one trade, are the same market participants transacting when you clicked for another trade? Absolutely not; it is an impossibility. Every moment there exists market participants entering and exiting , anything can happen.

Now let's talk about simple math : This is simply a conceptual series of 10 trades, taken one after the other from a beginner perspective

let's us act as a beginner: if at the beginning you risk more than expected then it will take you a lot of work to recover from that DD%. Make sure to have a proper risk modelling and follow the rules to survive. New traders execute trades with certainties '' this loos good , I will risk more'' . ''I will risk more in this one because I need to recover my previous loss'' . ''I lost the previous one i will risk less''

Here is where the problem occurs:

When you modify parameters in your risk modeling it will have a strong impact in the outcome. what happen in you risk 3 % in the 5 first trades and you end up losing ? you will end up in serious problems. What if you risk 2 in the first trades and you end up losing and then you say ok I will risk less because I'm losing to much and that trade end up making a 1 to 6 risk reward ratio.Hope this example was clear.
Now Let us say for example that you took 10 trades with proper risk management ? the outcome is totally different.

As you can see , we risk the same amount every time and we only need few trades to make decent profits. Proper risk modelling will allow you to have losing trades and still making profit. you can have a poor win rate like in this example and still end up positive. The only difference between the first trader and the second one is that in fact one has a trade by trade approach and the second has a series per trade approach. This might be hard to understand but if you really want to continue in the long you must use a proper risk modelling system.

Here is where the solution is :


* EVERY TRADE IS UNIQUE , ANYTHING CAN HAPPEN.

* MANAGE YOUR EXPOSURE OR YOU WILL HAVE NOTHING LEFT TO MANAGE.

* PRO traders understand that in order to have results they must adopt a series per trade approach