How to Design Intraday Algo-Trading Model for

What's a Bitcoin Market Cycle and Why Should You Care?

Authored by [CoinLive Team](www.coinlive.io)
Original source: https://www.coinlive.io/tutorial/what-s-a-bitcoin-market-cycle-and-why-should-you-care
Decoding the market sentiment is of vital importance to help you stay in constant tune with the market and as a result, adds to the odds of being a profitable intraday crypto trader. However, the most cardinal component of all is knowing under what context we are trading crytos. Are we in a Bitcoin or an Alts cycle? In other words, is the distribution of market capital determined by the price behavior in Bitcoin or are the Alts complex detached and uncorrelated from the price dynamics in Bitcoin?
Getting the right context when trading cryptos will help you navigate the space with the right knowledge base to make the right decisions, with the certainty that you are reading the markets correctly. Note, in this first tutorial, we will only focus in Bitcoin cycles, which can take place under a bullish or bearish trend in total market capitalization.
Let's start. First of all, your backbone must always be the Percentage of Total Market Capitalization (Dominance) Chart via www.coinmarketcap.com. Once you have it, we can start to analyze certain tendencies, which we will then combine with the Total Market Capitalization and Total Market Capitalization (Excluding Bitcoin) to help us decipher under what market context we are trading.
Bitcoin Cycle in a Bearish Market Capitalization Trend
Under this scenario, the Alts complex trade tightly correlated to the price action in Bitcoin. It occurs when we go through a period of liquidation in the crypto market as confidence evaporates, which leads to traders and investors diversifying away from Alts, perceived as a riskier investment, and resort back into the safe-haven appeal of Tether and to a lesser extent Bitcoin (as the legitimate base crypto).
Under this environment, one can take Bitcoin as a barometer to measure the market pulse and whether or not opportunities can be found to pick up cheap Alts should Bitcoin show a recovery attempt. It's in this period of a Bitcoin Cycle that you want to pay very close attention to the price action of Bitcoin when trading Alts. Note, under such period, the falls in Alts tend to be more accentuated than in Bitcoin.
How to analyze the charts to determine a Bitcoin cycle? The first tip is to compare the Total Market Capitalization vs Total Market Capitalization (Excluding Bitcoin). If one chart is a similar or exact replica of the other, as illustrated below for Jan - March 2018, that's a clear sign of a Bitcoin cycle. Remember, the main characteristics are that Alts will be strongly correlated to Bitcoin, which is unequivocally the case in the example below.
![](https://www.coinlive.io/ckeditor_assets/pictures/431/content_1.png)
Another aspect to help one reinforce the notion of spotting a Bitcoin cycle is by identifying a rising dominance in Bitcoin vs Alts via the Percentage of Total Market Capitalization (Dominance) chart. Remember, the more allocation of capital into Bitcoin, the higher its share of total capitalization, which more often than not, tends to happen during bear markets, as participants flock off to the likes of BTC and to an even larger degree USDT.
![](https://www.coinlive.io/ckeditor_assets/pictures/432/content_2.png)
Bitcoin Cycle in a Bullish Market Capitalization Trend
You may wonder, can the crypto market be in a Bitcoin cycle while in a bullish environment? The answer is Yes. It can happen either when Bitcoin is on a strong trend as in Nov 2017, or when we enter a period of a more orderly and gradual uptrend. During these periods, the positive correlation between the price action in Bitcoin vs Alts tends to break away. The former increases in dominance, while the latter reduces its share, although at a slower rate vs a bitcoin cycle in a bearish market cap trend.
It typically happens due to excessive speculation or in anticipation of hard forks, with the latter causing an incentive for traders and investors to diversify away from Alts, motivated by the promise of free coins (Bitcoin Cash fork a clear example). Meanwhile, exuberance in the price of BTC can happen due to pure hype/mania, a time which tends to see Bitcoin google searches skyrocket. An example of a Bitcoin cycle in a bullish market can be seen below between June - Oct 2017:
![](https://www.coinlive.io/ckeditor_assets/pictures/433/content_3.png)
A Bitcoin cycle in a bullish market cap trend does not display the same similarity when comparing Total Market Capitalization vs Total Market Capitalization (Excluding Bitcoin). You will notice, the declines in Alts tend to be sharper, with periods of longer consolidation in the Total Market Capitalization (Excluding Bitcoin) as more capital finds its way into Bitcoin.
![](https://www.coinlive.io/ckeditor_assets/pictures/435/content_5.png)
Monitor ETH/BTC As a Proxy for BTC Cycles
The sentiment towards Alts can also be assessed by checking the price action in the ETH/BTC chart. Since a large share of the Alts run on top of the Ethereum platform, ETH serves quite accurately as an indicator of sentiment in the Alts conglomerate, which when combined against the price of BTC, gives you a picture of what asset is outperforming the other. If ETH/BTC is on a decline, we are under a BTC Cycle, which could happen under both bullish or bearish markets in terms of total capitalization. On the flip side, if the chart breaks to the upside, the market then transitions into an Alts cycle, which has the peculiarity of taking place only under bullish markets in market capitalization. That said, Alts cycles deserve another article on its own (coming up).
![](https://www.coinlive.io/ckeditor_assets/pictures/434/content_4.png)
Conclusion
Information is power and being able to interpret the right context when trading cryptos is of paramount importance. As explained in this article, Bitcoin market cycles show unique characteristics in the overall price behavior with a direct market impact on Altcoins. By putting the pieces of the puzzle together before venturing into active intraday crypto trading allows you to stay in tune with market dynamics to make the right trading decisions.
submitted by Ivo333 to BitcoinMarkets [link] [comments]

Best off the shelf platforms to backtest + trade futures + crypto intraday?

Hey all,
I'm an engineer, preferring C# or python, looking for recommendations on a platform where I can backtest hourly (2-12 hour holds, not HFT) for a variety of futures + cryptos, as well as execute trades.
I really don't want to re-invent the wheel and spend my time writing execution code for IB or crypto exchanges, would prefer to spend the time backtesting/researching.
Options:
  1. Quantconnect - Does everything I need, but EXTREMELY slow to test on/iterate. No data costs
  2. MultiCharts/Ninjatrader - Need to get a 3rd party data provideIQ feed seems to be cheapest for historical data? Have heard fixed feedback on these, but for longer term holds latency shouldn't be an issue. Any real downsides to these 2?
Any platforms that I'm missing? The python open source ones that I've seen all need CSV feeds, so not the ideal use of time, would prefer something that can plug into a data provider.
submitted by dom_P to algotrading [link] [comments]

Q: How would I go about keeping a trading journal as an intraday swing trader, trading crypto?

Alts are calculated in satoshis
And BTC can only be calculated in USD (100.000.000Sat = 1BTC)

I want to have all my trades under one journal so I can see all my data (Net Gain/Loss, Avg, W/L, Avg. Max Drawdown/Favour, Max P/L, Min P/L, Avg. R^, Expectancy etc...etc...)
It's absolutely necessary that everything is automated as well.
I have to make a choice, either I calculate it in satoshis or USD it can't be both since I need to have consistency for the calculations to work.
The only problem is that bitcoin can't be calculated in SATS.

Lets say I long 5BTC at 3.8k$ and sell it @ 3.9K$ = Net gain of 500$ excluding comission)
And I also buy 1M TRX for 0.000005SAT and sell @ 0.000006SAT making me 1BTC)
How would one go about keeping these 2 in the same journal?

Mind you I do a lot of daily trades and there is no chance in hell I manually calcualte the 500$ in to sats again.
(It would also not work since in the GSS I have functions already set in place and that would mess up the stats.

My only solution is I have 2 spreadsheets, 1 for Bitcoin and 1 For alts.

Although this would mess up my stats as well......

Any tips or do you have any advice on better journals?
submitted by Adaks__1 to Bitcoin [link] [comments]

CryptoCopmare API quick-start guide (free intraday trading data for crypto)

submitted by bitcoin-dude to algotrading [link] [comments]

Zebpay India’s Biggest Bitcoin Exchange Cuts Intraday Trade Fees #cryptocurrency #btc #fintech… https://t.co/5qhvxIGTSU - Crypto Insider Info - Whales's

Posted at: April 6, 2018 at 12:32AM
By:
Zebpay India’s Biggest Bitcoin Exchange Cuts Intraday Trade Fees #cryptocurrency #btc #fintech… https://t.co/5qhvxIGTSU
Automate your Trading via Crypto Bot : https://ift.tt/2EU8PEX
Join Telegram Channel for FREE Crypto Bot: Crypto Signal
submitted by cryptotradingbot to cryptobots [link] [comments]

Former investment bank FX trader: Risk management part 3/3

Former investment bank FX trader: Risk management part 3/3
Welcome to the third and final part of this chapter.
Thank you all for the 100s of comments and upvotes - maybe this post will take us above 1,000 for this topic!
Keep any feedback or questions coming in the replies below.
Before you read this note, please start with Part I and then Part II so it hangs together and makes sense.
Part III
  • Squeezes and other risks
  • Market positioning
  • Bet correlation
  • Crap trades, timeouts and monthly limits

Squeezes and other risks

We are going to cover three common risks that traders face: events; squeezes, asymmetric bets.

Events

Economic releases can cause large short-term volatility. The most famous is Non Farm Payrolls, which is the most widely watched measure of US employment levels and affects the price of many instruments.On an NFP announcement currencies like EURUSD might jump (or drop) 100 pips no problem.
This is fine and there are trading strategies that one may employ around this but the key thing is to be aware of these releases.You can find economic calendars all over the internet - including on this site - and you need only check if there are any major releases each day or week.
For example, if you are trading off some intraday chart and scalping a few pips here and there it would be highly sensible to go into a known data release flat as it is pure coin-toss and not the reason for your trading. It only takes five minutes each day to plan for the day ahead so do not get caught out by this. Many retail traders get stopped out on such events when price volatility is at its peak.

Squeezes

Short squeezes bring a lot of danger and perhaps some opportunity.
The story of VW and Porsche is the best short squeeze ever. Throughout these articles we've used FX examples wherever possible but in this one instance the concept (which is also highly relevant in FX) is best illustrated with an historical lesson from a different asset class.
A short squeeze is when a participant ends up in a short position they are forced to cover. Especially when the rest of the market knows that this participant can be bullied into stopping out at terrible levels, provided the market can briefly drive the price into their pain zone.

There's a reason for the car, don't worry
Hedge funds had been shorting VW stock. However the amount of VW stock available to buy in the open market was actually quite limited. The local government owned a chunk and Porsche itself had bought and locked away around 30%. Neither of these would sell to the hedge-funds so a good amount of the stock was un-buyable at any price.
If you sell or short a stock you must be prepared to buy it back to go flat at some point.
To cut a long story short, Porsche bought a lot of call options on VW stock. These options gave them the right to purchase VW stock from banks at slightly above market price.
Eventually the banks who had sold these options realised there was no VW stock to go out and buy since the German government wouldn’t sell its allocation and Porsche wouldn’t either. If Porsche called in the options the banks were in trouble.
Porsche called in the options which forced the shorts to buy stock - at whatever price they could get it.
The price squeezed higher as those that were short got massively squeezed and stopped out. For one brief moment in 2008, VW was the world’s most valuable company. Shorts were burned hard.

Incredible event
Porsche apparently made $11.5 billion on the trade. The BBC described Porsche as “a hedge fund with a carmaker attached.”
If this all seems exotic then know that the same thing happens in FX all the time. If everyone in the market is talking about a key level in EURUSD being 1.2050 then you can bet the market will try to push through 1.2050 just to take out any short stops at that level. Whether it then rallies higher or fails and trades back lower is a different matter entirely.
This brings us on to the matter of crowded trades. We will look at positioning in more detail in the next section. Crowded trades are dangerous for PNL. If everyone believes EURUSD is going down and has already sold EURUSD then you run the risk of a short squeeze.
For additional selling to take place you need a very good reason for people to add to their position whereas a move in the other direction could force mass buying to cover their shorts.
A trading mentor when I worked at the investment bank once advised me:
Always think about which move would cause the maximum people the maximum pain. That move is precisely what you should be watching out for at all times.

Asymmetric losses

Also known as picking up pennies in front of a steamroller. This risk has caught out many a retail trader. Sometimes it is referred to as a "negative skew" strategy.
Ideally what you are looking for is asymmetric risk trade set-ups: that is where the downside is clearly defined and smaller than the upside. What you want to avoid is the opposite.
A famous example of this going wrong was the Swiss National Bank de-peg in 2012.
The Swiss National Bank had said they would defend the price of EURCHF so that it did not go below 1.2. Many people believed it could never go below 1.2 due to this. Many retail traders therefore opted for a strategy that some describe as ‘picking up pennies in front of a steam-roller’.
They would would buy EURCHF above the peg level and hope for a tiny rally of several pips before selling them back and keep doing this repeatedly. Often they were highly leveraged at 100:1 so that they could amplify the profit of the tiny 5-10 pip rally.
Then this happened.

Something that changed FX markets forever
The SNB suddenly did the unthinkable. They stopped defending the price. CHF jumped and so EURCHF (the number of CHF per 1 EUR) dropped to new lows very fast. Clearly, this trade had horrific risk : reward asymmetry: you risked 30% to make 0.05%.
Other strategies like naively selling options have the same result. You win a small amount of money each day and then spectacularly blow up at some point down the line.

Market positioning

We have talked about short squeezes. But how do you know what the market position is? And should you care?
Let’s start with the first. You should definitely care.
Let’s imagine the entire market is exceptionally long EURUSD and positioning reaches extreme levels. This makes EURUSD very vulnerable.
To keep the price going higher EURUSD needs to attract fresh buy orders. If everyone is already long and has no room to add, what can incentivise people to keep buying? The news flow might be good. They may believe EURUSD goes higher. But they have already bought and have their maximum position on.
On the flip side, if there’s an unexpected event and EURUSD gaps lower you will have the entire market trying to exit the position at the same time. Like a herd of cows running through a single doorway. Messy.
We are going to look at this in more detail in a later chapter, where we discuss ‘carry’ trades. For now this TRYJPY chart might provide some idea of what a rush to the exits of a crowded position looks like.

A carry trade position clear-out in action
Knowing if the market is currently at extreme levels of long or short can therefore be helpful.
The CFTC makes available a weekly report, which details the overall positions of speculative traders “Non Commercial Traders” in some of the major futures products. This includes futures tied to deliverable FX pairs such as EURUSD as well as products such as gold. The report is called “CFTC Commitments of Traders” ("COT").
This is a great benchmark. It is far more representative of the overall market than the proprietary ones offered by retail brokers as it covers a far larger cross-section of the institutional market.
Generally market participants will not pay a lot of attention to commercial hedgers, which are also detailed in the report. This data is worth tracking but these folks are simply hedging real-world transactions rather than speculating so their activity is far less revealing and far more noisy.
You can find the data online for free and download it directly here.

Raw format is kinda hard to work with

However, many websites will chart this for you free of charge and you may find it more convenient to look at it that way. Just google “CFTC positioning charts”.

But you can easily get visualisations
You can visually spot extreme positioning. It is extremely powerful.
Bear in mind the reports come out Friday afternoon US time and the report is a snapshot up to the prior Tuesday. That means it is a lagged report - by the time it is released it is a few days out of date. For longer term trades where you hold positions for weeks this is of course still pretty helpful information.
As well as the absolute level (is the speculative market net long or short) you can also use this to pick up on changes in positioning.
For example if bad news comes out how much does the net short increase? If good news comes out, the market may remain net short but how much did they buy back?
A lot of traders ask themselves “Does the market have this trade on?” The positioning data is a good method for answering this. It provides a good finger on the pulse of the wider market sentiment and activity.
For example you might say: “There was lots of noise about the good employment numbers in the US. However, there wasn’t actually a lot of position change on the back of it. Maybe everyone who wants to buy already has. What would happen now if bad news came out?”
In general traders will be wary of entering a crowded position because it will be hard to attract additional buyers or sellers and there could be an aggressive exit.
If you want to enter a trade that is showing extreme levels of positioning you must think carefully about this dynamic.

Bet correlation

Retail traders often drastically underestimate how correlated their bets are.
Through bitter experience, I have learned that a mistake in position correlation is the root of some of the most serious problems in trading. If you have eight highly correlated positions, then you are really trading one position that is eight times as large.
Bruce Kovner of hedge fund, Caxton Associates
For example, if you are trading a bunch of pairs against the USD you will end up with a simply huge USD exposure. A single USD-trigger can ruin all your bets. Your ideal scenario — and it isn’t always possible — would be to have a highly diversified portfolio of bets that do not move in tandem.
Look at this chart. Inverted USD index (DXY) is green. AUDUSD is orange. EURUSD is blue.

Chart from TradingView
So the whole thing is just one big USD trade! If you are long AUDUSD, long EURUSD, and short DXY you have three anti USD bets that are all likely to work or fail together.
The more diversified your portfolio of bets are, the more risk you can take on each.
There’s a really good video, explaining the benefits of diversification from Ray Dalio.
A systematic fund with access to an investable universe of 10,000 instruments has more opportunity to make a better risk-adjusted return than a trader who only focuses on three symbols. Diversification really is the closest thing to a free lunch in finance.
But let’s be pragmatic and realistic. Human retail traders don’t have capacity to run even one hundred bets at a time. More realistic would be an average of 2-3 trades on simultaneously. So what can be done?
For example:
  • You might diversify across time horizons by having a mix of short-term and long-term trades.
  • You might diversify across asset classes - trading some FX but also crypto and equities.
  • You might diversify your trade generation approach so you are not relying on the same indicators or drivers on each trade.
  • You might diversify your exposure to the market regime by having some trades that assume a trend will continue (momentum) and some that assume we will be range-bound (carry).
And so on. Basically you want to scan your portfolio of trades and make sure you are not putting all your eggs in one basket. If some trades underperform others will perform - assuming the bets are not correlated - and that way you can ensure your overall portfolio takes less risk per unit of return.
The key thing is to start thinking about a portfolio of bets and what each new trade offers to your existing portfolio of risk. Will it diversify or amplify a current exposure?

Crap trades, timeouts and monthly limits

One common mistake is to get bored and restless and put on crap trades. This just means trades in which you have low conviction.
It is perfectly fine not to trade. If you feel like you do not understand the market at a particular point, simply choose not to trade.
Flat is a position.
Do not waste your bullets on rubbish trades. Only enter a trade when you have carefully considered it from all angles and feel good about the risk. This will make it far easier to hold onto the trade if it moves against you at any point. You actually believe in it.
Equally, you need to set monthly limits. A standard limit might be a 10% account balance stop per month. At that point you close all your positions immediately and stop trading till next month.

Be strict with yourself and walk away
Let’s assume you started the year with $100k and made 5% in January so enter Feb with $105k balance. Your stop is therefore 10% of $105k or $10.5k . If your account balance dips to $94.5k ($105k-$10.5k) then you stop yourself out and don’t resume trading till March the first.
Having monthly calendar breaks is nice for another reason. Say you made a load of money in January. You don’t want to start February feeling you are up 5% or it is too tempting to avoid trading all month and protect the existing win. Each month and each year should feel like a clean slate and an independent period.
Everyone has trading slumps. It is perfectly normal. It will definitely happen to you at some stage. The trick is to take a break and refocus. Conserve your capital by not trading a lot whilst you are on a losing streak. This period will be much harder for you emotionally and you’ll end up making suboptimal decisions. An enforced break will help you see the bigger picture.
Put in place a process before you start trading and then it’ll be easy to follow and will feel much less emotional. Remember: the market doesn’t care if you win or lose, it is nothing personal.
When your head has cooled and you feel calm you return the next month and begin the task of building back your account balance.

That's a wrap on risk management

Thanks for taking time to read this three-part chapter on risk management. I hope you enjoyed it. Do comment in the replies if you have any questions or feedback.
Remember: the most important part of trading is not making money. It is not losing money. Always start with that principle. I hope these three notes have provided some food for thought on how you might approach risk management and are of practical use to you when trading. Avoiding mistakes is not a sexy tagline but it is an effective and reliable way to improve results.
Next up I will be writing about an exciting topic I think many traders should look at rather differently: news trading. Please follow on here to receive notifications and the broad outline is below.
News Trading Part I
  • Introduction
  • Why use the economic calendar
  • Reading the economic calendar
  • Knowing what's priced in
  • Surveys
  • Interest rates
  • First order thinking vs second order thinking
News Trading Part II
  • Preparing for quantitative and qualitative releases
  • Data surprise index
  • Using recent events to predict future reactions
  • Buy the rumour, sell the fact
  • The mysterious 'position trim' effect
  • Reversals
  • Some key FX releases
***

Disclaimer:This content is not investment advice and you should not place any reliance on it. The views expressed are the author's own and should not be attributed to any other person, including their employer.
submitted by getmrmarket to Forex [link] [comments]

The 4th way of algorithmic trading (Signal Processing)

Algorithmic trading types classified based on development perspectives:
1) Technical Analysis
2) Statistics and Probability
3) Machine Learning
I took a different path which is not discussed widely in this subreddit.
4) Signal Processing
I'm not a good storyteller, but this is my journey and advices for the beginners
First, my background:
- Electrical and Electronic engineer,
- Software developer (20+ years)
- Trader (5+ years)
- Algorithmic trader (3+ years)

How I Found The Alpha:

Before algorithmic trading, I was somehow profitable tradeinvestor. Like most of you, when I began to algorithmic trading, I tried to find magic combination of technical indicators and parameters. Also I threw OHLCV and indicators data into the RNN for prediction.
I saw that, even very simple strategies like famous moving average crossover is profitable under right market conditions with correct parameters. But you must watch it carefully and if you fell it is not working anymore, you must shut it down. It means you must be experienced trader to take care of your algorithm.
I am a fulltime software developer, algorithmic trading was my side project also it became my hobby. I tried to learn everything about this industry. I watched and listened hundreds of hours of podcasts and videos in all my free time like commuting from home to work.
These are the most useful to me:
- Chat with traders: https://www.youtube.com/channel/UCdnzT5Tl6pAkATOiDsPhqcg
- Top traders unplugged: https://www.youtube.com/usetoptraderslive
- Ukspreadbetting: https://www.youtube.com/channel/UCnKPQUoCRb1Vu-qWwWituGQ
Also I read plenty of academic papers, blog posts and this subreddit for inspiration.
Inspiration came from my field, electronics. I will not give you much detail about it but I have developed a novel signal processing technique. It is a fast and natural technique which I couldn’t find any article or paper which mention this method. It can transform any interval price data into meaningful, tradable form. The best part is, it doesn't require any parameter and it adapts to changing market conditions intrinsically.
These are the concepts that inspire me:
- Information Theory: https://en.wikipedia.org/wiki/Information_theory
- Signal Processing: https://en.wikipedia.org/wiki/Signal_processing
- ADC: https://en.wikipedia.org/wiki/Analog-to-digital_converter

What a Coincidence:

While googling to improve my algorithm, I found out that, Signal Processing is used by Jim Simon's Renaissance Technologies according to various sources including wikipedia: https://en.wikipedia.org/wiki/Financial_signal_processing

Proverbs Integration:

Output of the process can be used to develop endless type of profitable strategies. I made some money with different momentum based strategies while thinking about how I can use this technique more efficiently.
I like to combine different fields. I think trading and life itself have many things in common. So beside general trading concepts, I think that I can try to implement concepts of the life. Also because of the parameterless design, it's more like a decision making process than an optimization problem.
I searched proverbs and advices for better decision making. I handled them one by one and thought how I could implement them in a unified strategy while preserving the parameterless design. In time, this process was significantly improved stability and reliability while it was evolving from momentum to mean reversion.
These are some proverbs which I use them at various aspects of the algorithm:

- “The bamboo that bends is stronger than the oak that resists.” (Japanese proverb)
- "When the rainwater rises and descends down to where you want to cross, wait until it settles." (Sun-Tzu)
- "If you do not expect the unexpected you will not find it, for it is not to be reached by search or trail" (Heraclitus)
If you wonder how I implement them in the code, think about the last one; how do you define the unexpected, how to wait for it and how to prepare your algorithm to generate profit.
By the way, I strongly recommend: The Art of War (Sun-Tzu)

Result:

I have plenty of ideas waiting to be tested and problems that need to be solved. Nevertheless these are the some of the backtest results, for the time being:
Crypto:
- Market fee and spread are considered, slippage is not.
- For multiple assets testing; Survivorship bias was attempted to be eliminated using historical market rank of the assets. Data is acquired from coinmarketcap.com weekly report.

ETH / BTC
BNB / BTC
Binance Historical Top 100 / BTC
Other Markets:
My main focus is crypto trading. But all the improvements are cross checked in different markets and intervals and validated empirically and logically. It can’t beat every asset and every interval but it tends to work profitably across them.

https://preview.redd.it/l865fw6mjfd51.png?width=900&format=png&auto=webp&s=ff217d35637b41e26db8d7cfc3df14c3fb7ec14e
Live:
The algorithm is running live for over 1.5 years with evolving strategies I mention before. The last one is running for months.

Warnings and Advices:

- Bugs: A few months ago, before bedtime, I released new version for fixing small cosmetic bug and gone to sleep. When I woke up, I saw that nearly 40% of my account wiped out in a few hours. Instead of live settings, I published test settings. It was very painful. I have been coding since childhood, so everyone must be careful. I recommend, implement hard limit for stopping the algorithm.
- Fully Automatic Strategy: Finding an edge is not enough. If you need fully automated trading system, you need a portfolio manager (a lot of research is going on at this field) and especially an asset selector mechanism which is maybe more important than the edge itself. If your algorithm is not be able to select which assets to trade, you must select manually. It's not an easy task and it's prone to error. I was very lucky with that: A mechanism already contained in the algorithm was used to rank and select the assets based on their momentums.
- Fee-Spread: Because of the market fee and spread, trading is a negative sum game. Do not ignore it when backtesting your algorithm.
- Slippage: It's really a problem for low volume assets like penny stocks and lower market cap crypto currencies. Stay away from them or play with small capital or find a way to determine how much money you can use.
- Latency: Don’t think it's a HFT only problem. If your algorithm synchronize multiple assets data from the market and run calculations before sending order back to the market, you lose significant amount of time. This usually causes losses that you have not considered before, especially in a volatile environment. Also if you want to develop realtime strategy, you must seriously consider what you will do in downtime.
- Datasource: This is the most important part for preparation before developing you strategy. If you don’t have good, reliable data; you cannot develop a good strategy. For free data for various market; I suggest investing.com, but you should consider that volume data is not provided. For crypto, all of the exchanges provide their real data for any asset and any interval, you can use them freely. Also you can buy data , especially if you want intraday data, but I can't suggest any because I never tested them.
- Biases: Before developing algorithm, please take a look at and understand the common biases like: Survivorship bias, Look-ahead bias, Time period bias. Or you can be sure that you will face them when you go live.
- Live trading: When you think your algorithm can make money, don’t wait till perfection. Go live as soon as possible with small capital to wake up from your dreams and face with the facts early.
- Psychology: If your education is based on STEM and you don’t have trading experience, it’s not easy in the real world to swallow all those ups and downs that you see in minutes during backtest. It can affect your mood and your life much more than you think. I suggest, work with a professional trader or only invest what you can really afford to lose.

Last Words:

After over 3 years of journey, I have a profitable algorithm that I trust. I was supposed to lie on the beach and drink beer while my algorithm printing money. But I am consistently checking it’s health and I have always things to do like all software development projects.
I posted some of the backtest results, but I don’t know are they considered P/L Porn or not. If so, I can remove it.
Sorry about mysterious parts of this post. I removed some parts unwillingly before posting, but there is really a thin line between giving away your edge freely (also it means loosing it) and inspiring people to find their own way.

“Non est ad astra mollis e terris via" - Seneca

EDIT:


For those engineers and EE students who are bombing my inbox for guessing what I did; I can not write all of you in private, also I want to explain it publicly.
I must say, you are on the wrong way. If I open sourced the signal processing part, probably it doesnt mean anything to you and you can not turn it into a profitable algorithm.
I have to clarify that; before I developed the technique, I knew what I am looking for exactly. Signal processing is not magically trading the market, I am trading the market. it's just a tool to do what is in my mind near perfectly.
Also proverbs are the way of thinking. I read them and think if it means anything for trading.

Lastly watch the Kung Fu Panda :)
https://www.youtube.com/watch?v=rHvCQEr_ETk

submitted by if-not-null to algotrading [link] [comments]

What is the point of Futures contracts for retail traders?

I'm an options guy - hey, to each their own. Since I'm in the process of writing a series of posts on the route less travelled on options trading, I felt it would be best to get this first out of the way.
When I first came across futures contracts on stocks, it didn't make any sense to me. Futures contracts behave in exactly the same way as the underlying asset with the added complication of having exposure to interest rates (typically, you can ignore this detail - this detail becomes relevant if you want to add options to the mix, especially so with currency derivatives).
The one reason I heard of at that time (this was in 2004) - 'You get a lot of leverage with Futures!'. Sure, but this wasn't a big difference; I typically had to put down about 17% as upfront margin. IMO, this wasn't a good enough reason as this translated to a margin of 5.9x - heck, depending upon the stock, Sharekhan gave me a margin of up to 10x on even delivery trades (again, this was in 2004). If someone wanted to trade intraday, do it with stocks, why futures?
It took me a while to get the point. When one wanted to profit off a rise in an asset's value - buy the stock, let it rise, sell - rinse and repeat.
How do you profit off an asset's depreciation? You could short-sell the stock; but you had to close the position at the end of the day as there was no mechanism to borrow stocks in Indian markets. Any drop in the asset's value that happens overnight or over the weekend is beyond reach.
Entre futures contracts. These things allow someone to keep the position open for an entire month. If you had inside information of the mess that was going on at Yes Bank, short-selling the stock was a horrible way of capitalising on it, opening a short position via futures contracts was the way to do it: you can squeeze the full extent of the drop, with leverage on top of it.
Now, that little detail about exposure to interest rates being baked into the contracts, I'll get to that in the next post.
When Bitcoin was at an all time high of around $20,000 per BTC, all the Wall St banks were in a rush to offer futures contracts on bitcoin. I told everyone who was willing to listen that this was the beginning of the fall. If Bitcoin was only going to rise, why would a bank offer a product to their customers on which the bank only stands to lose money. It only made sense for the banks to sell futures on BTC if it were to crash and burn, in which case the banks stand to make a killing on these contracts.
And the banks made a killing when the crypto market crashed and burned. Nobody seemed to notice that the banks only sold BTC futures, none of them took on a short position on BTC if their customer wanted to short a BTC futures contract.
If there were no derivatives on crypto, while everyone involved stood to gain from it rising, it was in no one's interest for the asset class to crash and burn. Now, people can profit off a drop in BTC valuation.
submitted by circuit_brain to IndianStreetBets [link] [comments]

[Free] The Complete Day Trading Course - YouTube Playlist (New 2020)

Day Trading & Technical Analysis System For Intraday Trading Stocks, Forex, Crypto, Options Trading & Financial Trading
What you'll learn
Learn All The Charting Tools, Trading Strategies And Profitable Hacks For Day Trading With Real World Examples!
Dedicated Support from the Course Instructors and the Learning Community. 100% Questions Answered Within 24 Hours!
How to Build a Solid Strong Foundation For Day Trading
How to Use TradingView For Chart Analysis & Paper Trading
How to Choose The Best Chart Time Frames For Day Trading
How to Use Different Day Trading Order Types
How to Short Sell & Deal With Short Squeezes
How to Avoid Blowing Up Your Account
How to Use Support & Resistance
How to Trade Profitable Technical Indicators & Overlays That Work Well For Day Trading
How to Identify Market Directions Using EMA
How to Identify Market Directions Using MACD
How to Identify Overbought and Oversold Conditions Using RSI
How to Use Bollinger Bands to Buy Low Sell High
How to Trade Profitable Chart Patterns That Work Well For Day Trading
How to Trade Broadening Tops and Bottoms
How to Trade Wedges and Triangles
How to Trade Flags and Pennants
How to Trade Gaps
How to Trade Double Tops and Bottoms
How to Trade Rounding Tops and Bottoms
How to Trade Diamond Tops and Bottoms
How to Trade Cup and Handle
How to Trade Head and Shoulders
How to Trade Dead-Cat Bounces
And a lot more...
Videos
Introduction

003 How to Use Trading View For Chart Analysis

004 How to Choose The Best Chart Time Frames For Day Trading

005 Day Trading Order Types

006 Short Selling Short Squeeze

007 How to Avoid Blowing Up Your Account

008 How to Use Support Resistance

009 How to Identify Market Directions Using EMAs

010 How to Identify Market Directions Using MACD

011 How to Identify Overbought and Oversold Conditions Using RSI

012 How to Use Bollinger Bands to Buy Low Sell High

013 How to Trade Broadening Tops and Bottoms

014 How to Trade Wedges and Triangles

015 How to Trade Flags and Pennants

016 How to Trade Gaps

017 How to Trade Double Tops and Bottoms

018 How to Trade Rounding Tops and Bottoms

019 How to Trade Diamond Tops and Bottoms

020 How to Trade Cup and Handle

021 How to Trade Head and Shoulder

022 How to Trade Dead Cat Bounces
submitted by cardporbudspha to Daytrading [link] [comments]

What are the components of a good trading strategy

The biggest difference between investing in stocks and trading stocks is that while investing is a long term process where you buy the shares of the company and wait for that company to grow, in intraday trading, you buy and sell stocks within the same day to generate profits. Compared to mutual funds, trading with the help of intraday trading strategies is much less risky, which is the reason why it has been gaining such momentum in the past few years.
According to statistics, nearly 40% of all trades that happen on the National Stock Exchange (NSE) are a result of automated trading. The reason why this phenomenon has grown so quickly within such a short span of time is that automated trading removes human error and bias from the picture – which are two of the biggest factors responsible for the losses incurred in the trading market.
Unlike humans, computers do not get tired, do not miss even the minutest of details and do not succumb to emotional impulses like fear and greed. They give you buying and selling indicators based on trade algorithms that have been designed keeping in mind the previous data and have been backtested rigorously to ensure that they perform in the real world scenarios. Now that we know the importance of algo trading strategies, let us discuss their components.
Components of algo trading strategies
It doesn’t matter whether you’re an advanced trader or an amateur, there are certain components that you would need to include in your strategies to make sure that you derive hefty profits from the market while avoiding losses. Basically, there are three main components that every trading strategy needs:
Liquidity – This is essential for you to quickly enter and exit trades at an attractive and stable price. For example, liquid commodity strategies will focus on gold, crude oil and natural gas.
Volatility – Volatility determines the range of profit or loss that you can make – higher the volatility, higher the chances of profit or loss. This means that if you have a risk-bearing capability, you could consider trading in highly volatile markets, for example, crypto-currency market.
Volume – The volume of a stock or asset is the number of times that stock or asset has been traded within a given time period. In intraday trading, this is also sometimes referred to as the ‘average daily trading volume.’ If an asset has a high volume, it means a number of people have shown interest in that asset. Any increase in the volume is an indicator of an oncoming rise or fall in the value of the asset.
submitted by alphabot20 to u/alphabot20 [link] [comments]

BW.com Copy-trading system, the best choice for traders and newbie

In the crypto currency trading market, the public investors are often called can only survive under the sickle of the makers. And we often see that some makers take whatever they want in the contract trading market, and their profit records of 1 200% are often shown in the circle of twitter and telegram etc.
BW.com on August 7 (Friday) release copy-trading system, can be said to be your gospel. Not only are the excellent traders selected by the platform to lead the way to make money, but investors will have millions of usdt as experience fund to follow orders, which can not only make money easily, but also obtain rewards. This kind of good thing can be met in BW.
Those who have done contracts in the currency circle all know that the market is changing rapidly, the current trend is still volatile, the daily line hour line conflicts are contrary, and it is difficult to predict the long and short positions.
As a novice, he doesn’t have a certain experience. Most of the time, he relies on his intuition to guess. If he guesses right a few times, he has the illusion that his skill of frying money is improving. It seems that if Murakami wins two fights against landlords, he dares to go to Macao or Las vegas to fight against the God of gamblers. This random incentive has caused many people great losses.
Most people can’t get over this threshold, so it’s a good choice to follow a reliable contract with a single person.
So the question is, what kind of single person is reliable?
We need to understand two things before we solve this problem
1、 No matter how reliable the man with the list is, he is not going to take you to the king’s game to lead the practice. He will certainly lose money. Therefore, don’t believe that the one who wins every battle doesn’t exist at all. Otherwise, he is the richest man in the universe,
2、 People with bills have made a lot of efforts. It’s natural that they earn platform commission or share. Don’t regard others as cheaters when they make money. There are also management fees, custody fees and sales service fees when you buy financial management.
In fact, it’s very simple to judge whether or not to rely on a single person. First of all, we should look at his past achievements. At least he is a stable and profitable person. Do you believe that the people who drop into boxes every day say they will take you to eat chicken?
Another point is that he must have a reliable trading platform endorsement, for example BW.com online copy-trading system, and regardless of whether the traders invited by BW can bring you money, at least it will not find cheaters
What’s more, Different from other third-party software that uses API interface to follow documents, the official tracking system of coin.com can ensure the accuracy of price and order, and will not lead to inconsistency of price and time due to cross-platform. This is very important for intraday copy-trading.
Finally, I will post the announcement for you to take a review!
BW Perpetual Contract Copy Trading will be launched, welcome all the elite traders!
BW support:
1) 3000 global media publicity resources
2) Assist elite traders to build and maintain personal influence and personal traffic
3) High commission for trading, as well as commission rebate
4) Occasionally USDT Awards
5) Exclusive Account manager with 24 hour online service
6) BW To the Moon and Token Launchpad quota preemption rights (at least for 5 programs)
7) Commission daily settlement, flexible return commission, support customized commission
Obligations of traders:
Having own accounts in cryptocurrency communities and having media or social media accounts such as Bihu/ Block123/Heyuedi or equivalent etc.
2 the frequency of login and providing contract strategy shall be more than 30 times per month.
  1. Promote BW on its own social and self-media accounts at least 4 times a month.
  2. To become a trader, you need to deposit at least 500USDT, and the contract account needs to keep the balance of 500usdt all the time.
【Contact us】
Telegram: t.me/BW_support
Reddit: https://www.reddit.com/usebwexchange
Mailbox: [email protected]
Official website: www.bw.com | www.bw.io
Download BW APP: https://www.bw.io/appDownload
BW, Bit World, Better World
BW.com Global Operations Team
Aug 7, 2020
submitted by bwexchange to u/bwexchange [link] [comments]

Bitcoin Surpasses $10,000; Next Target Is $10,500

Bitcoin Surpasses $10,000; Next Target Is $10,500

Bulls Seem To Be In Charge Of Bitcoin’s Weekly Upwards Price Rally As Trading Volumes Increased
The leading cryptocurrency to date, Bitcoin, managed to secure and surpass one of its most important price point checks - $10,000. Bitcoin’s price movement in the past seven days indicates that bulls gathered strength to overcome the major resistance zone and keep Bitcoin afloat above the new $10,100 support zone.
Amid the price rally, the #1 crypto also hit a monthly high of $10,308, according to data from Cryptobrowser.io. After the monthly high surge, Bitcoin corrected to a value of little above $10,100 but quickly bounced back to trade at $10,197.44, as of press time, with $1,627,720,536.96 in 24-hour trading volume activity.
Source: Cryptobrowser.io
The bullish momentum for Bitcoin made some crypto analysts and experts consider Bitcoin to jump above $10,500. If such an event happens, experts believe Bitcoin to be anywhere in the range from $11,000 to $16,000.
Looking at the past week, Bitcoin’s price rally marked a 12,76% price increase for the leader of cryptos, rising from $9,142 on July 21, 2020. Also, Bitcoin formed some strong support zones, lying around $9,450 and $9,700. Traders are considering the $9,900-$9,800 levels as a consolidation zone for a larger upwards push.
However, the over-$10,000 price surges occurred in times of high-trading volumes, so crypto traders have to take precautions when entering the market.
Meanwhile, Bitcoin’s price surge reflected the prices in the entire crypto sector, with Ethereum surpassing $300 earlier this week and settling around $325. Ethereum currently trades at $323.65, after surging as high as $327,77, which is a yearly high for the second-largest cryptocurrency to date.
The rest of the altcoins` sector made minimal gains, ranging from two to five percent.
The recent Bitcoin price surge, on the other hand, made some crypto experts compare Bitcoin with traditional investment assets like gold (XAU). Peter Schiff, for example, stated that Bitcoin investors are not considering the cryptocurrency as a stability option, but rather as a speculative asset. Schiff also noted that some investors are bridging the gap between physical gold and cryptocurrencies by putting their money in gold-backed stablecoin projects like Tether Gold (XAUT). The Tether Gold reached $1,902 on July 24, as the commodity price recorded a closing price at $1,897.50 being on the verge of reaching its intraday high of $1,921 from September 2011.
Schiff concluded his bearish thoughts on Bitcoin, stating: “Two of the last three times #Bitcoin rose above $10,000 in Oct. of 2019 and in Feb. of 2020 it soon fell by 38% and 63% respectively. The last time Bitcoin rose above $10,000 was in May, and it only fell by 15%. It's above $10,000 again today. How big will the next drop be?”
submitted by Crypto_Browser to CryptoBrowser_EN [link] [comments]

Bitcoin Surpasses $10,000; Next Target Is $10,500

Bitcoin Surpasses $10,000; Next Target Is $10,500

Bulls Seem To Be In Charge Of Bitcoin’s Weekly Upwards Price Rally As Trading Volumes Increased
The leading cryptocurrency to date, Bitcoin, managed to secure and surpass one of its most important price point checks - $10,000. Bitcoin’s price movement in the past seven days indicates that bulls gathered strength to overcome the major resistance zone and keep Bitcoin afloat above the new $10,100 support zone.
Amid the price rally, the #1 crypto also hit a monthly high of $10,308, according to data from Cryptobrowser.io. After the monthly high surge, Bitcoin corrected to a value of little above $10,100 but quickly bounced back to trade at $10,197.44, as of press time, with $1,627,720,536.96 in 24-hour trading volume activity.
Source: Cryptobrowser.io
The bullish momentum for Bitcoin made some crypto analysts and experts consider Bitcoin to jump above $10,500. If such an event happens, experts believe Bitcoin to be anywhere in the range from $11,000 to $16,000.
Looking at the past week, Bitcoin’s price rally marked a 12,76% price increase for the leader of cryptos, rising from $9,142 on July 21, 2020. Also, Bitcoin formed some strong support zones, lying around $9,450 and $9,700. Traders are considering the $9,900-$9,800 levels as a consolidation zone for a larger upwards push.
However, the over-$10,000 price surges occurred in times of high-trading volumes, so crypto traders have to take precautions when entering the market.
Meanwhile, Bitcoin’s price surge reflected the prices in the entire crypto sector, with Ethereum surpassing $300 earlier this week and settling around $325. Ethereum currently trades at $323.65, after surging as high as $327,77, which is a yearly high for the second-largest cryptocurrency to date.
The rest of the altcoins` sector made minimal gains, ranging from two to five percent.
The recent Bitcoin price surge, on the other hand, made some crypto experts compare Bitcoin with traditional investment assets like gold (XAU). Peter Schiff, for example, stated that Bitcoin investors are not considering the cryptocurrency as a stability option, but rather as a speculative asset. Schiff also noted that some investors are bridging the gap between physical gold and cryptocurrencies by putting their money in gold-backed stablecoin projects like Tether Gold (XAUT). The Tether Gold reached $1,902 on July 24, as the commodity price recorded a closing price at $1,897.50 being on the verge of reaching its intraday high of $1,921 from September 2011.
Schiff concluded his bearish thoughts on Bitcoin, stating: “Two of the last three times #Bitcoin rose above $10,000 in Oct. of 2019 and in Feb. of 2020 it soon fell by 38% and 63% respectively. The last time Bitcoin rose above $10,000 was in May, and it only fell by 15%. It's above $10,000 again today. How big will the next drop be?”
submitted by Crypto_Browser to CryptoBrowser_EN [link] [comments]

First Mover: In the Cryptocurrency Markets, No Two Exchanges Are Alike

First Mover: In the Cryptocurrency Markets, No Two Exchanges Are Alike


In the cryptocurrency markets, no two exchanges are alike. Even in major crypto exchanges, trading U.S. dollars for bitcoin can have fairly different order sizes and spreads, according to data compiled by aggregator CryptoCompare.
Average order sizes over the past week were quite varied, CryptoCompare found. Orders on Bitstamp averaged $3,424.11, the highest of major dollar to bitcoin (USD/BTC) pair exchanges. ItBit was second to Bitstamp at $2,874.17, with Kraken at $2787.68. Gemini’s average was in the middle of the pack at $1,438.31, followed by Coinbase at $1,113.15. Bitfinex was lowest, with an average order totaling $342.09. The average order of the six exchanges was $1,996.58.
You’re reading First Mover, CoinDesk’s daily markets newsletter. Assembled by the CoinDesk Markets Team, First Mover starts your day with the most up-to-date sentiment around crypto markets, which of course never close, putting in context every wild swing in bitcoin and more. We follow the money so you don’t have to. You can subscribe here.
Average spreads between the highest bid offer and the lowest ask offer on an exchange order book also varied significantly. Data from CryptoCompare shows a few exchanges have a much larger daily price spread than others.
“This is derived from L2 order book data, without fee calculations, on top of this,” said Constantine Tsav, head of research for CryptoCompare. Level 2, or L2, order book data is a term for market information that includes the scope of bid and ask prices for a given asset, in this case USD/BTC.
Luxembourg-based Bitstamp, at $5.21 and New York-domiciled Gemini, at $2.38, have the largest average spreads in intraday trading, in this case CryptoCompare used a two-hour interval. Market spread is the gap between the highest bid and the lowest offer on the order book. Thus the gap is the difference between the price traders are willing to sell an asset and others are willing to buy an asset, and vice versa.
submitted by Han121212 to u/Han121212 [link] [comments]

Bitcoin Market Weekly Report - Week of 22/06/2020

Bitcoin Market Weekly Report - Week of 22/06/2020

Coinviva BTC/USD Hourly Chart
After failing to reach $10,000 and dropping below $9,500 the week before, the Bitcoin price was able to find support at $9,250 last week. It formed a sideway channel that ranged between $9,250 and $9,600. The intraday volatility remained low throughout the week, with no clear sense of direction.
If the volatility picks up in the coming week and the BTC price breaks below the current support line at $9,250, then a lower low would form and a downward trend would be confirmed. If the volatility remains low throughout the week, the BTC price would continue to trade within the sideway channel between $9,250 and $9,600. Wait for volatility to pick up before determining the direction of the trade.
Disclaimer: The above market commentary is based on technical analysis using historical pricing data, and is for reference only. It does not serve as investment or trading advice.

About Coinviva:
Coinviva aims to create the best crypto financial services ecosystem for both institutional and individual investors. We provide reliable fiat funding options, excellent trading liquidity, bank security level custody and one-stop high liquidity provision on-site & off-site. Our founding management team all come from top tiered investment banking (e.g. JP Morgan, Morgan Stanley, Bank of America Merrill Lynch), with fully comprehensive financial institution operation experience.
Homepage: https://coinviva.com/
Telegram: https://t.me/coinviva
submitted by Coinviva to u/Coinviva [link] [comments]

The Daily Autist (03/23/20)

What up you hoes I'm back with another TLDR of the news that'll inform your moves. If you listened to my last one you'd be sitting gay, fuzzy, and warm right now with puts. So I haven't lost you fucks money...yet.

The Daily Autist

03/23/20

First off, someone finally penetrated themself to repay a debt on WSB. If you wanna hear a chopstick go in someone's ass, here you go. He also has Corona which I find hilarious but shouldn't
From Glass Jar to Chopstick.
Other countries are joining USA and Italy by shutting down as well. Futures are down globally, and the markets that have opened are all down 5-7%. The fear from Corona is not that the world will end, but that there is no timetable for a return to normalcy. Those fears appear to be continuing and intensifying.
Stocks stagger as more nations self-isolate against virus
Crypto falling overnight. While it had a healthy weekend, it has had a big drop going into Monday. I’m using BTC for reference but most major crypto within 2% of the loss.
BTC Price Chart on Trading View
People too retarded to realize their strats are also gambling, despite only some subs being willing to own it, are now gonna get high on spreads. Anything that creates more retarded calls in the market is a win for me, but a good number of people gonna nuke their accounts even worse than we do with the guise of investing wisely.
Cheat sheet for Vertical spreads : options
International Airlines are now on their way to shutting down. USA airlines have been hit particularly hard with their stock buyback addictions, but international companies going to start having their passenger flights grind to a halt as well. Cargo shipping is not nearly as profitable as shipping breathing cargo.
https://www.reuters.com/article/us-health-coronavirus-airlines/domestic-travel-airline-hubs-the-latest-hit-as-coronavirus-curbs-tighten-idUSKBN21917G
“Banks are safe,” shouts the fed as if 2008 did not happen. Banks showing unless everything is running absolutely perfect they couldn’t handle their own dicks on a lonely evening let alone a major financial institution. So while Uncle Sam won’t let it go tits up, their value and confidence should fall, meaning puts on banks still get em while hot.
https://www.foxbusiness.com/markets/us-banks-are-safe-for-your-money
The person who ideologically deserved to get Corona the most; got Corona. So there is some good news. He also used the congressional workout facilities the day he was getting tested so he is indeed a full retard.
https://www.foxnews.com/politics/sen-rand-paul-tests-positive-for-coronavirus
Oh and Thursday everything will be fucked once the unemployment numbers come out. All the fudging in the world(barring Trump not releasing the numbers which has been floated) will not hide the immediate 10% job losses with it being as high as 20 within another month. The google trends for unemployment benefits spiked so much last week it had to have an asterisk on the trend for abnormal data Friday night until Saturday morning. Everyone I know with a brick and mortar job has been put on leave or told the business will not make it and is essentially waiting on government stimulus decisions before fully firing.
https://www.cnbc.com/2020/03/20/the-upcoming-job-losses-will-be-unlike-anything-the-us-has-ever-seen.html
My NostraLosses prediction? The breaker's gonna trip at the open. The stimulus will hopefully get passed at 1200EST, carrying the natural run-up after the fall to as high as 240 possibly, 235 likely. I expect a fuckin rollercoaster of dips and climbs intraday before climbing at end of day again to be around 235. If the stimulus doesn't get passed all bets are off and we're clear to keep falling to 215 before next major historical support until stimulus passes.

TLDR: Futures and open International markets are all down. Other countries getting fugged by Corona economically via supply chain and buyer disruption. The US Senate is getting fugged by Corona medically via Ron Paul's idiot son. Unemployment on track for Great Depression (fuck your recession) numbers. Long term puts, short term calls for this stimulus confidence pump.

Please advise if you like this shit as it will influence my future autistic creations.

< CAN WE GET SOME GOD DAMN FLAIR, WSB feels like a normie retail trader version of itself, let's build this up>

Edit: SPY fell to 218 then up to 238 in 14 minutes. Fed must follow the premarket because announcing unlimited QE is exactly why we have a Fed in the first place, to not do incredibly stupid shit to save face politically. They've been trying to devalue the dollar rather than solve the problem for weeks and this is some king retard level devaluation. Won't even work as the rest of world is going to shit and hoarding USD as fast as the Fed can print it.
submitted by AvocadosAreMeh to wallstreetbets2 [link] [comments]

Implementing a synthetic cryptoasset by leveraging RenVM mainnet and Ethereum DeFi protocols

Hi,
We are creating a new decentralized synthetic cryptoasset codenamed XOR on Ethereum ecosystem. We call it a synthetic asset becuase it's a synthesis of BTC, ETH and major altcoins and USD stablecoins. XOR lets investors and token-holders gain exposure to the BTC-Bitcoin and other cryptocurrencies while protecting them from extreme intraday price volatility and downside risks generally associated with cryptocurrencies. Basically XOR is a capital protection insurance with infinite upside potential.
XOR is an DeFi protocol that will allocate funds under its management to the following three classes of crypto assets: 1. Bitcoin and 2. USD-linked stablecoins and 3. Altcoins such as ETH, XLM and XTZ dynamically and directionally in a mutually exclusive way. If BTC value is either relatively stable or positively increasing relative to the purchasing power of the basket of Stablecoins-(USDC, TrueUSD and USDT), XOR protocol automatically buys more BTC/Bitcoins. But when BTC price negatively fluctuates and losses 3% or more value for more than >10 minutes, then XOR Conversion Contract automatically reshuffles and rebalances its portfolio of crypto assets to the basket of stablecoins by progressively selling BTC and Altcoins and by reallocating funds more and more.... to USD stablecoins in a calibrated manner guided by the DelayFunc(0.50%++/--) that limits buying/selling to 10% of the AUM until the target assets rises(while buying that asset) or falls(while selling) by another 0.5%. And again when BTC and Altcoin prices stabilize and their prices start increasing relative to the stablecoin basket by >1%, then XOR dynamically rebalances its portfolio to BTC and Altcoins by buying them in the open market indefinitely unless and until situation reverses itself and another portfolio swap of underlying AUM to stablecoins gets triggered by negative fluctuations of BTC/Altcoins.
And in order to generate surplus reserves to pay for transaction fees/gas prices due to frequent rebalancing of its protfolio, XOR will be lending up to 90% of its AUM(BTC, ETH, Altcoins and USD stablecoins) on DeFi markets like Bzx, DeFipulse, Kyber, Compound, Airswap and so on.
We are thinking of implementing three contracts to accomplish the functionalities of XOR: 1. Conversion contract, 2. Data oracle contract on Chainlink, and 3. an ERC20 contract as XOR token.
Now we are facing following challenges in implementing these contracts in order to maintain 100% fidelity to the mission and manifesto of XOR that's protecting our AUM assets from negative marekt downturns but also exposing them to positive market upturns:
  1. how to convert large amount of multiple cryptocurrencies to USD stablecoins e.g. USDC, USDT, TUSD, BUSD etc and vice versa without causing large spikes in prices of target assets in the DeFi markets and decentralized exchanges like IDEX or Binance DEX?
  2. how to manage cryptoassets under management and implement the trading rules, order routing and money management protocols?
  3. how to implement the logic of the contracts on ethereum platform alone by using wrapped coins such as WBTC? So instead of buying BTC, we will buy equivalent wrapped BTC which will overcome the difficulties in cross-chain conversion and reconversion.
  4. Is it technically feasible to employ RenVM mainnet to solve some of the challenges of rebalancing of crypto portfolio in most efficient and cost-effective way along with Bzx, Defipulse, Compound, Airswap and Kyber? What would be the ideal mechanism for building such a synthetic cryptoasset?
  5. How to implement a Proof-of-Asset subprotocol/explorer to transparently display cryptoassets-under-management of XOR?
We will award 40,000 Coins to each person here if we receive quality responses.
submitted by BubbaJohnPhilosopher to RenProject [link] [comments]

I am making a trade recap video everyday

Hi guys, I'm not a big league trader or anything, but I've been day trading crypto for 3 years, and stocks for just as long. Recently I decided to make a post trade recap of my day trades so I can learn from my mistakes and improve over time. Anyway, I started a Youtube channel to share my trades.
My strategy is the following: I only day trade, meaning I don't keep anything overnight. I scalp weekly ATM options and get in and out intraday. I only look at 5 minute chart and I identify supports and resistances and I trade around that. That's it, no fancy signals, no fancy patterns, nothing. I find this works really really well personally.
I'm not a high roller nor am I trying to sell you my trading course (LOL), it's just me recapping my trades. I welcome you all to give me feedback and hopefully and eventually I will improve over time. Thanks guys!
https://www.youtube.com/channel/UCGwJ3gY9qDp46jUDKZHP4rQ
submitted by piggyterminal to options [link] [comments]

Goldmine Trade Private Limited

Goldmine Trade Private Limited submitted by goldminetrade to u/goldminetrade [link] [comments]

[Free] The Complete Day Trading Course - YouTube Playlist (New 2020)

Day Trading & Technical Analysis System For Intraday Trading Stocks, Forex, Crypto, Options Trading & Financial Trading
What you'll learn
Learn All The Charting Tools, Trading Strategies And Profitable Hacks For Day Trading With Real World Examples!
Dedicated Support from the Course Instructors and the Learning Community. 100% Questions Answered Within 24 Hours!
How to Build a Solid Strong Foundation For Day Trading
How to Use TradingView For Chart Analysis & Paper Trading
How to Choose The Best Chart Time Frames For Day Trading
How to Use Different Day Trading Order Types
How to Short Sell & Deal With Short Squeezes
How to Avoid Blowing Up Your Account
submitted by cardporbudspha to Trading [link] [comments]

4.2 How to implement strategic trading in JavaScript language

4.2 How to implement strategic trading in JavaScript language

Summary

In the previous article, we introduced the fundamental knowledge that when using JavaScript to write a program, including the basic grammar and materials. In this article, we will use it with some common strategy modules and technical indicators to achieve a viable intraday quantitative trading strategy.

Strategy introduction

The Bollinger Band is one of the most commonly used technical indicators, invented by John Bollinger in the 1980s. In theory, prices always fluctuate around a certain range of values. The Bollinger Band is based on this theoretical basis and introduces the concept of “price channel”.
The calculation method is to use the statistical principle, first calculate the "standard deviation" of the price for a period of time, and then add or subtract 2 times the standard deviation of the moving average to find the "trusted interval" of the price. The basic type is a strip channel consisting of three rail lines (middle rail, upper rail, lower rail). The middle rail is the average price, and the upper rail and the lower rail represent the pressure line and the support line of the price, respectively. As shown below:

https://preview.redd.it/feu3g3m65ct41.png?width=1543&format=png&auto=webp&s=9679a94e45dbeeddc71541d103453d00dfc39fd7
Due to the concept of standard deviation, the width of the Bollinger Band is dynamically adjusted based on recent price fluctuations. When the fluctuations are small, the Bollinger Bands will be narrower; otherwise the fluctuations will be larger and the Bollinger Bands will be wider. When the BOLL channel is changing from narrow to wide, the price gradually returns to the mean. When the BOLL channel is changing from wide to narrow, it means that the market price starts to change. If the price up cross the upper-rail, it means that the buying power is enhanced. If the price goes down cross the lower-rail, it indicates that the selling power is enhanced.

Bollinger Band Indicator Calculation Method

Among all the technical indicators, the Bollinger Band calculation method is one of the most complicated, which introduces the concept of standard deviation in statistics, involving the middle trajectory ( MB ), the upper trajectory ( UP ) and the lower trajectory ( DN ) calculation. Its calculation method is as follows:
  • Middle rail = simple moving average of N time period
  • Upper rail = middle rail + standard deviation of the K × N time period
  • Lower rail = middle rail − standard deviation of the K × N time period

function main( ) { // program entry while (true) { // enter the loop exchange.SetContactType('this_week'); // set contact type var records = exchange.GetRecods(); // get the k line array var boll = TA.B0LL(records, 50); // get the 50-cycle BOLL indicator array var top = boll[0]; // get the upper-rail BOLL indicator array var ma = boll[l]; // get the middle-rail BOLL indicator array var bottom = boll[2]; // get the lower-rail BOLL indicator array Log(top); // print the upper-rail BOLL indicator array to the log Log(ma); // print the middle-rail BOLL indicator array to the log Log(bottom);// print the lower-rail BOLL indicator array to the log } } 

Strategy logic

The Bollinger Bands are used in a variety of ways and can be used alone or in combination with other indicators. In this section of the tutorial we will use it the easiest way, which is : When the price breaks through the upper rail, open long position; when the price breaks through the lower rail, open short position.

https://preview.redd.it/moby4ejb5ct41.png?width=1543&format=png&auto=webp&s=3320a08fb69e5b000a6461af27b5d73988e5d063
If the price is again returned to the middle-rail of the Bollinger Band after opening the long position, we believe that the strength of the buying power is weakening, or the strength of the selling power is strengthening, therefore, this is where the closing position signal comes in. the same logic for short position.

Trading conditions

  • Long position open: If there is no position, and the closing price is greater than the upper rail.
  • Short position: If there is no position, and the closing price is lower than the lower rail.
  • Close Long position: If holding long position, and the closing price is less than the middle rail,
  • Close Short position: If holding short position, and the closing price is greater than the middle rail,

Strategy code implementation

To achieve the strategy, first we need to consider what data do we need? through which API to get? Then how to calculate trading logic? Finally, which way to place the order? let's implement it step by step:

Step 1: Use the CTA Strategy Framework

The so-called CTA Strategy framework is a set of standard frameworks that the FMZ Quant officially designed. By using this framework, you can ignore the trivial programming problem and focus directly on the logic of programming. For example, if you don't use this framework, you will need to consider shifting the order price, order type, withdrawing orders and so on.
function main() { $.CTA("this_week", function(st) { // write your strategy here }) } 
The above is the CTA strategy framework using the FMZ Quant tool. It is a fixed code format, and all trading logic code is starting from line 3. In addition to the need to modify the variety code in use, no other changes are required elsewhere.
Note that the above trading variety code is "this_week" meaning it represents using the weekly k-line, trading data using the weekly data.

Step 2: Get all kinds of data

Think about it, what kinds of data do we need? From our strategy trading logic, we first need to obtain the current position status, and then compare the closing price with the Bollinger Band indicator upper, middle and lower rails.
  • Get K line data
The first is to get the K-line data array and the previous K-line closing price, with the K-line array, we can calculate the Bollinger Band indicator. it can be written like this:
function main() { $.CTA("this_week", function(st) { var r = st.records; // get the k line data if (r.length < 20) return; // filter the length of k line data var close = r[r.length - 2].Close; // get the previous k line closing price }) } 
As shown above:
Line 4 : Get the K line array, which is a fixed format.
Line 5 : Filter the length of the K line, because the parameter for calculating the Bollinger Band indicator is 20, when the K line is less than 20, it is impossible to calculate the Bollinger Band indicator. So here we need to filter the length of the K line. If the K line is less than 20 , it will return directly and continue to wait for the next K line.
Line 6 : From the obtained K-line array, first obtain the object of the previous K-line, and then obtain the closing price from this object. Obtaining the penultimate element in this array, which is the length of this array minus 2(r[r.length - 2]).
The K-line array elements are all objects, the object contains the opening, highest, lowest and closing price; also the trading volume and time.
For example, to get the closing price, just add " . " follow by the attribute name (r[r.length - 2].Close).
  • Get K line time data
Because this is an intraday strategy, we need to close all position before some certain time(most crypto trading exchanges usually open 24/7), so we must judge whether the current K line is close to that certain time when we what to stop trading or take a break. If it is near that closing time K line, close all position. If it is not, continue the strategy. The code is written like this:
function main() { $.CTA("this_week", function(st) { var r = st.records; // get the k line data if (r.length < 20) return; // filter the length of k line data var close = r[r.length - 2].Close; // get the previous k line closing price var time = new Date(r[r.length - 1].Time); // according the current k-line timestamp, create a time object var isClose = time.getHours() == 14 && time.getMinutes() == 45; // judging whether the current k-line is 14:45. this is just a example, you can specify any time you want during the 24 hours }) } 
As shown above:
Line 8: get the K line timestamp attribute objects and then create a time object(new Date (timestamp)).
Line 9: Calculate the hours and minutes according to the time object, and determine if the time of the current K line is 14:45 .
  • Get position data
Position information is a very important condition in the quantitative trading strategy. When the trading conditions are established, it is necessary to judge whether to place an order by the position status and the number of positions. For example, when the conditions for opening long positions are established, if there are holding position, do not place order; if there are no position holding, place the order. like this:
function main() { $.CTA("this_week", function(st) { var r = st.records; // get the k line data if (r.length < 20) return; // filter the length of k line data var close = r[r.length - 2].Close; // get the previous k line closing price var time = new Date(r[r.length - 1].Time); // according the current k-line timestamp, create a time object var isClose = time.getHours() == 14 && time.getMinutes() == 45; // judging whether the current k-line is 14:45. this is just a example, you can specify any time you want during the 24 hours var mp = st.position.amount; // get the holding position information }) } 
As shown above:
Line 11: Get the current position status. If there are long position, the value is 1; if there are short position, the value is -1; if there are no position, the value is 0.
  • Get Bollinger Band data
Next we need to calculate the values ​​of the upper, middle and lower rails of the Bollinger Band indicator. we need to get the Boolean array first, and then get the values ​​of the upper, middle, and lower rails from this array. In the FMZ quant tool, it is very simple to get the Boolean array, just call the Bollinger Band API directly, it is a two-dimensional array.
it is easy to understand the two-dimensional array, which is the array in a array. The order to obtain the value is: first obtain the specified array in the array, and then obtain the specified element from the specified array, as shown below:
var arr = [[100, 200, 300],[10,20,30],[1,2,3]]; // this is a two-dimensional array var test = arr[0]; //first obtain the specified array in the array and assign the value to variable "test" var demo1 = test[0]; //then get a value from the test array demo1; // the result is : 100 var demo2 = arr[0][0]; // you also can write like this demo2; // the result is the same : 100 
Below, from 13th to 19th lines are getting the Bollinger Band upper, middle and lower rail coding part, Wherein the line 13 is used the FMZ Quant API tool, which can accessing the Bollinger band array directly; line 14 to line 16 are obtaining the two-dimensional array respectively for the upper, middle and lower rail array; line 17 to line 19 are getting the specify value from the upper, middle, and lower rail array.
function main() { $.CTA("this_week", function(st) { var r = st.records; // get the k line data if (r.length < 20) return; // filter the length of k line data var close = r[r.length - 2].Close; // get the previous k line closing price var time = new Date(r[r.length - 1].Time); // according the current k-line timestamp, create a time object var isClose = time.getHours() == 14 && time.getMinutes() == 45; // judging whether the current k-line is 14:45. this is just a example, you can specify any time you want during the 24 hours var mp = st.position.amount; // get the holding position information var boll = TA.BOLL(r, 20, 2); //calucating the Bollinger Band indicator var upLine = boll[0]; // get the up-rail array var midLine = boll[1]; // get the middle-rail array var downLine = boll[2]; // get the lower-rail array var upPrice = upLine[upLine.length - 2]; // get the previous K-line upper rail value var midPrice = midLine[midLine.length -2]; // get the previous K-line middle rail value var downPrice = downLine[downLine.length -2]; // get the previous K-line lower rail value }) } 

Step 3: placing order and trade

With the above data, we can write the trading logic and placing order part now. It is also very simple, the most commonly used is the "if statement", which can be described as: if condition 1 and condition 2 are true, place the order; if condition 3 or condition 4 is are true, place the order. As shown below:
function main() { $.CTA("this_week", function(st) { var r = st.records; // get the k line data if (r.length < 20) return; // filter the length of k line data var close = r[r.length - 2].Close; // get the previous k line closing price var time = new Date(r[r.length - 1].Time); // according the current k-line timestamp, create a time object var isClose = time.getHours() == 14 && time.getMinutes() == 45; // judging whether the current k-line is 14:45. this is just a example, you can specify any time you want during the 24 hours var mp = st.position.amount; // get the holding position information var boll = TA.BOLL(r, 20, 2); //calucating the Bollinger Band indicator var upLine = boll[0]; // get the up-rail array var midLine = boll[1]; // get the middle-rail array var downLine = boll[2]; // get the lower-rail array var upPrice = upLine[upLine.length - 2]; // get the previous K-line upper rail value var midPrice = midLine[midLine.length -2]; // get the previous K-line middle rail value var downPrice = downLine[downLine.length -2]; // get the previous K-line lower rail value if (mp == 1 && (close < midPrice || isClose)) return -1; // if holding long position, and the closing price is less than the mid-rail, or the current time is 14:45, closing long position. if (mp == -1 && (close > midPrice || isClose)) return 1; // if holding short position, and the closing price is greater than the mid-rail, or the current time is 14:45, closing short position. if (mp == 0 && close > upPrice && !isClose) return 1; // if there are no holding position, and the closing price is greater than the upper-rail, or the current time is not 14:45, open long position. if (mp == 0 && close < downPrice && !isClose) return -1;// if there are no holding position, and the closing price is less than the lower-rail, or the current time is not 14:45, open short position. }) } 
In the above figure, lines 21 to 24 are the trading logic and placing order coding part. From top to bottom they are: closing long position, closing short position, open long position and open short position.
Take the open long position as an example. This is an "if statement". If only one line of code is executed in this statement, the curly braces " {} " can be omitted. The statement is translated into text meaning: if the current position is 0 and the closing price is greater than the upper rail, and the k-line time is not 14:45, then " return 1 "
you may find that these lines have " return 1 " and " return -1 ", which is a fixed format, meaning: if it is the buying direction, write " return 1 "; if it is the selling direction, write " return -1 ". opening long position and closing short position are all buying direction, so write "return 1"; and vice versa.

Complete Strategy code

At this point, a complete strategy code is written. If the trading framework, trading data, trading logic and placing order are written separately, it is very simple? The following is the entire code of this strategy:
function main() { $.CTA("this_week", function(st) { var r = st.records; // get the k line data if (r.length < 20) return; // filter the length of k line data var close = r[r.length - 2].Close; // get the previous k line closing price var time = new Date(r[r.length - 1].Time); // according the current k-line timestamp, create a time object var isClose = time.getHours() == 14 && time.getMinutes() == 45; // judging whether the current k-line is 14:45. this is just a example, you can specify any time you want during the 24 hours var mp = st.position.amount; // get the holding position information var boll = TA.BOLL(r, 20, 2); //calucating the Bollinger Band indicator var upLine = boll[0]; // get the up-rail array var midLine = boll[1]; // get the middle-rail array var downLine = boll[2]; // get the lower-rail array var upPrice = upLine[upLine.length - 2]; // get the previous K-line upper rail value var midPrice = midLine[midLine.length -2]; // get the previous K-line middle rail value var downPrice = downLine[downLine.length -2]; // get the previous K-line lower rail value if (mp == 1 && (close < midPrice || isClose)) return -1; // if holding long position, and the closing price is less than the mid-rail, or the current time is 14:45, closing long position. if (mp == -1 && (close > midPrice || isClose)) return 1; // if holding short position, and the closing price is greater than the mid-rail, or the current time is 14:45, closing short position. if (mp == 0 && close > upPrice && !isClose) return 1; // if there are no holding position, and the closing price is greater than the upper-rail, or the current time is not 14:45, open long position. if (mp == 0 && close < downPrice && !isClose) return -1;// if there are no holding position, and the closing price is less than the lower-rail, or the current time is not 14:45, open short position. }) } 
There are two things need to be notice:
  1. Try to (but not necessarily) write the strategy logic as the current K-line condition is established, then placing the order on the next k-line. Or the previous k-line condition is established, placing orders on the current k-line, in this way, the result of the backtest and the real market performance are not much different. It is OK to not write like this, but pay attention to whether the strategy logic is correct.
  2. In general, the logic of closing position should write in front of the opening position logic. The purpose of this is to try to make the strategy logic meet your expectations. For example, if the strategy logic just meet the situation where it need to do the opposite direction of trading after just close a position, the rule of this kind of situation is to close the position first and then open the new position. If we write the closing position logic in front of the opening position logic, it will perfectly fullfil this rule.

To sum up

Above we have learned each step of developing a complete intraday quantitative trading strategy, including: strategy introduction, Bollinger indicator calculation method, strategy logic, trading conditions, strategy code implementation, etc. Through this strategy case, not only we familiar with the programming methods of the FMZ Quant tools, but also can build some other strategies that are adapted according to this template.
Quantitative trading strategy is nothing more than a summary of subjective trading experience or system. If we write down the experience or system used in subjective trading before writing the quantitative strategy, and then translate it into code one by one, you will find that the writing a quantitative strategy will be much easier.

Next section notice

In quantitative trading strategy development, if only can choose one programming language, without hesitation, it must be Python. From getting data to backtesting, even the placing order part, Python has covered the entire business chain. In the field of financial quantitative investment, Python has occupied an extremely important position, the next section of the course we will begin to learn the Python language.
submitted by FmzQuant to CryptoCurrencyTrading [link] [comments]

Market Weekly Report - Week of 23/03/2020

Market Weekly Report - Week of 23/03/2020

Point95 Global Market Weekly Report

BTC/USD hourly chart
The Bitcoin recovered from past week’s fall and broke above the $6,000 resistance level, to reach almost $7,000 as suggested last week. It has since retraced but was able to hold above the upward trend line. The intraday volatility was relatively low compared to the stock market.
The BTC price is expected to go sideways and has potential to go back up to $7,200. Wait for the price to break above the upper Keltner band at around $6,524, and enter into a long position. The support is at $5,660.
Review of the week:
Morgan Creek Digital co-founded Anthony Pompliano and published a paper analyzing that in the next 18-24 months, almost all asset prices will rise sharply. Specifically, non-COVID-19 epidemic-related enterprise stocks (CIS) will receive a return of 40-70% in the next two years (based on the current overall market decline of 40-50%). It is expected that the stocks that have fallen the most so far may get the greatest returns. Gold will not exceed $2,500 in the next two years, with a return of 35% to 65%. Bitcoin's outlook is similar to gold, but with some key differences. As the dollar depreciates, investors will seek inflation to hedge assets, and Bitcoin and gold will be two of the beneficiaries. But one major difference is that Bitcoin is much more volatile than gold. Although he thinks that gold has a 35-65% upside, he has relatively high confidence (more than 85%) that the price of Bitcoin will be at least three times higher than it is now. This will bring it back to an all-time high of over $ 20,000. In summary, Bitcoin will be the best performing asset in the next 24 months.
As a borderless digital asset not controlled by governments or centralized companies, Bitcoin’s price should, in theory, travel its own path, independent of other currencies and markets. Crypto’s pioneer asset, however, has seen varied views suggesting correlations to traditional markets, such as stocks, “safe-haven” investments such as gold, or even arguments that bitcoin is not correlated to anything. But available data shows no firm answer so far. Tone Vays, Veteran Wall Street trader and crypto analyst, yet expects a positive reaction from Bitcoin during relatively uncertain economic times: “I believe that bitcoin does have a correlation with traditional stock markets because they are both private assets, and Bitcoin benefitted a lot from the ten year bull market because people got generally wealthier, and they were more willing to speculate on something like Bitcoin.”
Disclaimer: The above market commentary is based on technical analysis using historical pricing data, and is for reference only. It does not serve as investment or trading advice.
Check Bitcoin Price on Coinviva: Coinviva
submitted by Coinviva to u/Coinviva [link] [comments]

Intraday Option Trading Made Easy! DAY TRADING CRYPTOCURRENCY  BEST FORMULA  COMPLETE GUIDE HINDI BEST TECHNICAL INDICATOR FOR DAY TRADING HINDI Intraday Scalping with Crypto Bull App THE MORNING PLAYBOOK Intraday trading plan for the days ...

Intraday trading is just a fancy way to refer to day trading, and for those who may not be aware, both terms refer to the execution of trades within the same day. Traders should not be mistaken; Intraday trading is not really a strategy as much as it is a general approach to trading Bitcoin & Cryptocurrencies. Intraday - it is a short term trading strategy when trader have to buy and sell before the market closes. Open positions can be held from minutes to hours (scalping). Traders can do technical analysis to evaluate the cryptocurrency market, using candlestick charts. A long-term, systematic winning in crypto-universe is as difficult as in any other trading markets. The risk levels are significantly higher and an intraday volatility can dangerously reduce your position within few minutes! But that’s the beauty in its purest form. Successful Bitcoin & Crypto Intraday Trading: 15 Minutes Trading Strategy. And from my intraday trading experience, if we would wait for the candle close here, the whole move is most of the time over in case of intraday trading - and you can see that exactly this happened. And my trailing stop got me at 6520. Position Trader, which covers 35% of the market trading.A trade generally lasts for 1 week to 1-month time frame. Day Trader, which covers 27% of the market trading, the trading is done in a very short duration ranging from a few minutes to a couple of hours. Swing Trader, which covers 20% of the crypto trading.It is kind of similar to the position trading and involves getting revenue based on

[index] [532] [648] [2226] [543] [1515] [550] [2921] [1960] [2375] [471]

Intraday Option Trading Made Easy!

In 2nd part I have explained, which trading indicator is best for intraday trading and what is the best time frame for day trading. In final part, I have discussed about the different best crypto ... Hello Everyone, Please Watch the video it's Best strategy For Intraday Traders. Earn Both Side - Long & Short 100% Accuracy Trading Signal Ab Indicator mat lgao Bs yeh Technique Use Karo Bas Koi ... The Full Report: https://bit.ly/2Ez4pIq - The 7-Second Trick For Trading Journal (Stock, Forex, Futures and Crypto) Take a screenshot of intraday charts of e... If you are serious about generating cash from the Internet then check out the following Trading solutions which are free and beginner friendly. Crypto Bull App - https://simplefxonline.com ... #VET #XRP Will The New Asset class make you RICH (( We will be thick and rich!! )) WARNING BULLISH CKJ Crypto News 311 watching Live now

#