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BItcoin Analysis ☆☆☆ Bitcoin ANYLYSIS ☆☆☆ If Btc Failed To Hold This Support Zone 12920 - 12950, We Can See Btc At Those Lower Support Zone Below Shared... 1️⃣ Support Zone 👉 12788 2️⃣ Support Zone 👉 12630 3️⃣ Support Zone 👉 12490 Otherwise If Btc Hold This Support Zone 12920 - 12950 & Successfully Break Resistance Zone 13156 - 13185. We Will See Btc Near At 14100. ✌ Hit The Like Button & Appreciate My Hard work ✌ ⚠️ CHECK YOUR OWN ANYLYSIS
BITSTAMP:BTCUSD
by CryptoLearnersBd
DIVERSIFICATION IN TRADING|PART 2:SIGNALS VS ACCOUNT MANAGEMENTDiversification part 2: Signals and account management What are they, and how are they different? PART ABOUT SIGNALS Well, signal service is when a professional trader sends you recommendations as to what trades to enter with stop loss and take profit. But YOU decide whether to enter the trade or not. The signal provider typically charges a monthly fee, that depends on his popularity and sales strategy So you pay the same amount whether your account is 5000 dollars or 5 million dollars, so the signals are cheaper. However, you need to be always on alert, and be prepared to make a trade at any time, as the price moves fast, so you can miss the opportunity. Having mobile apps from brokers makes this task much easier these days. Many people ask themselves, why would a successful trader sell signals at all? Aren’t they all in Goldman Sachs? Don’t they all trade 10 million dollars accounts that they made in 10 years of trading? Well, no. To know why you need to understand, that even the best traders have bad weeks or even months. We are all humans, so being sick or sad, or having the current market is such that it does not fit your strategy affects your results massively. There are hundreds of reasons, but the fact remains: there are times at which all traders loose money. Whoever tells you differently is lying. And traders eat what they kill, so a loosing month means they don’t get to eat anything. That affects the mood, and there is a higher chance to make loosing trades in future. Selling signals helps to balance this equation, as the stream of signal subscriptions keep coming even if you lost money this month. So this way, the trader patches a hole in his otherwise good life, having a small but stable income, which helps him better deal with losses on the market, which ends up making his trading better, as it keeps his mood more stable. So even the best traders sell signals! But don’t they re-invest their profits and quickly end up trading a 10 million dollar account? Well, some do, some don’t. It is the same diversification story. No matter how good you are, you will not have all your money tied up in your account. After all, you might get sick, or go crazy(literally). Also, there is a thing called psychological threshold. It is different for everyone, but there is a certain risk per trade, in dollar terms, that the trader just can’t handle anymore. Can you make a trade with your own money risking 50.000 Dollars at once? Even if you have a 10 million dollar account? Some can, others-can’t. It does not mean that if he can’t-he is a bad trader. No, It just means that he knows his limits, which is good. And so after they’ve reached a limit- they seek other ways to increase their income. These are teaching, account management and signal services. The account management will be in the next article! Stay Tuned! P.S:Read part 1 in the link below!
COINBASE:BTCUSDLong
by ProSignalsFx
8
SPY (S&p 500 Index) Trying to Hone in on Fair Value?I was playing around with pitchforks on the weekly timeframe for SPY and noticed that the uptrend slope (as determined by the slope of the pitchfork median line) has consistently decreased: from 47 degrees in the "internet bubble" bull market of the 90's, to 33 degrees in the recovery (leading up to the 2007 financial crisis), to 28 degrees in this latest bull run up from the aforementioned recession. There is a strong power relationship between these three data points, with an R-squared value of 0.9966 (and, yes, I do understand that this is a ridiculously small sample size), suggesting that the next bull run (after the next recession...that might have already happened?) will produce a trendline slope of around 24 degrees. Now, the actual value of these slopes will change, depending on how far in or out you zoom into the chart (which explains why the values are different on the chart that I've uploaded), but they will always change proportionately to maintain a consistent difference in value, such that the R-squared value and, therefore, the value determined by the equation will still be valid. One way to interpret this (and I'm in no way suggesting that it is the most accurate way) is that it's slowly honing in on a fair "future market" value, wherein the slope will eventually be near zero, at which point the fair value will have been determined, the formation of market bubbles will have virtually been eliminated, and the price volatility will be virtually non-existent. Of course, it's a bit foolish to think that three data points will accurately project out decades and centuries into the future, regardless of how neatly they fit into a mathematical equation. It may, however, be a useful bit of insight into the next market cycle, whenever that happens to take place (might have already started?). The power equation that I've applied here is: f(x) = 46.697x^-0.476 where x = the number of market cycles since before the "internet bubble" market cycle (internet bubble = x = 1; recovery from internet bubble pop = x = 2; etc)
AMEX:SPY
by JamesBrown