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TrendmyFriend is a product of AlgoBeacon Technologies and AlgoBeacon’s trading tools are made with best technology solutions, reliable, fast and easy to use by traders and Investors.
Trading in Equity, Futures, Options, Currency derivatives, MCX futures or other financial contracts is not complicated, and anybody can learn it in a relatively short time. We at AlgoBeacon equip and provides the best suitable Tools, Strategy and Support always with our products.
Our Clients profitability and trust are the prime reputation for us. We understand and made suitable products to our clients.
We make sure that our products provide the best solutions possible for those people who want to trade in the best way possible.
TMF-OIS provides you with 360-degree view information related to Options detailed analysis with all key data points for trading analysis and enables you to grab high profitable trades. It also helps to identify the trades based on volume profile and machine learning-based price prediction methods. TMF-OIS’s unique sections of Delta Report, Premium Report, and Quants Signals enable you to build the best trading options strategies and screeners combined with Greeks, OI crossovers, VWAP and SuperTrend etc.Read More
TMF-Algo is designed for traders to make seamless trading in Equity, Futures, Options, Currency futures&options, and MCX-Commodities segments trading. TMF-Algo enables traders to trade with the best strategies by combing open interest and best indicators like VWAP, RSI, VOLUME, SUPERTREND, DONCHAIN CHANNEL, OPEN INTEREST, MOVING AVERAGES etc..
TMF-Algo trades on both sides as and when buy or sell signals gives at underlying stock or index with equity, futures, and options instruments which are really difficult for any human to trade and switch mind bullish, bearish and other volatile conditions prevail in the day to day market. It also has some best unique features like executing a trade at the best price and can take instant trades with a combination of multiple indicators new and existing signals set up at the underlying level.
TMF-Algo has an option to learn and master with different market conditions with Live Paper Trading options, also all the live positions profit and loss will get updated on a real-time basis tick by tick, hence there is no need to switch between apps and screens.Read More
TMF OIS is a one-stop solution to bring out all the trading screeners, market views, signals and crossovers at a single place for you to analyze effortlessly
TMF ALGO is the best Algorithmic driven trading system which enables the power of executing trades with just one click
We provide multiple account types, trading platforms, and utilities to trade Derivatives and commodities market—in simple terms, Trend My Friend grants Every Retail traders or Investors to access opportunities in both rising and falling markets.
Whether you are new to online trading or an experienced investor, Trend my friend provides the market fundamentals, innovative technology solutions, speed, and strategy you need to trade with peace of mind and enjoy long-term wins.
As a company, we provide professional training and consulting services with respect to stock market. We enthusiastic learners from any profession.
We’re also extremely committed to be an integral part of the Algo Beacon. We Provide educational content (TMF ALGO + TMF OIS) webinars, professional certificate after the successful completion of training.
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Latency is how much time you are losing out when you are sending out an order. Basically, it is the time taken by the order to reach the trading destination or exchange or how much time it is taking to process market data, order routing and much more.
Latency helps you to identify the appropriate infrastructure will set up your own desk. It also helps you to identify if you should be picking up a momentum based strategy or a market making strategy. All these questions become easy to answer once you know what latency your strategy can accommodate.
We have mixed all the concepts of all the different trading strategy paradigms with the latency.
Beyond the definition: What are the types of Frequency Trading?
LFT (Low-Frequency Trading) - If your trading strategy can accommodate a latency of half a second or a second without too much deterioration in the performance we can call it Low-Frequency Trading
MFT (Medium Frequency Trading) - If your strategy cannot accommodate that much but still accommodate a few ten milliseconds of latency, then you are talking about Medium Frequency Trading Strategies
HFT (High-Frequency Trading) - If your strategy cannot afford to have the disadvantage of even 1 microsecond that means we are entering into the game of High-Frequency Trading
It is not absolutely true to say that High-Frequency Trading (HFT) generally beat manual day traders, it all depends on what kind of day traders we are talking about here. If you are talking about the day traders who are taking benefit from the arbitrage opportunities or market inefficiencies, then yes, machines can do such things much faster.
For e.g. If you are a manual trader and a good one, you can send one order in a second, in case you are really good then maybe 2 orders in a second and in case you are "superman" then maybe 3-4 orders in a second but not beyond that. While on the other hand a machine is usually limited by the throttle rate set by the exchange.
A machine can send thousands of orders in a second so there is no match here but if we are talking about the traders who are analysing the data and executing their orders in a manual way but are much more researched and are doing a lot of homework on their side, then no, it doesn’t matter.
To answer the second part of the question regarding the threshold, what we have seen is that greater the high frequency trading volume participation more are the number of players who are there for e.g. If you take the exchanges in the developed markets like the New York Stock Exchange (NYSE) you will be able to see that in some of the exchanges almost 80-85% of the volume is happening through algorithms with most of the HFT firms focused on these markets. In case of any threshold, all the HFT firms would have gone away. Same is the case in the developing markets, in India as well almost close to 45-50% of all the exchange volumes in the leading exchanges happens on algorithms especially on the derivatives side.
So the use of algorithms is not reducing. It is not true that in case there are too many algorithms than the HFTs will run away. The competition will heat up, some HFTs will go out of business and some will remain but that’s it.
This is again an extension of the last question. Will the market be counterproductive? Not really!
When you say algorithms it essentially means that you have automated the executions, an algorithm does not always mean high-frequency trading. So if you are a retail customer and you are trading using an API offered by any broker, you are not really trading on a high-frequency basis hence you are not HFT but you are definitely algo, it just brings more efficiency.
If there is too much of algo and you are trying to trade the inefficiencies in the market then it can be a challenge just because finding those efficiencies can be really difficult but otherwise, it won’t be counterproductive. Another thing to add is that even for the inefficiencies, targeting them becomes a game of technology and infrastructure. So these factors give you a certain advantage.
For e.g. the kind of network you can have, the kind of systems, hardware that keeps on becoming more expensive.
So if you are focused on eating on the market inefficiencies more the HFT in the market it will be difficult to spot inefficiencies because the moment it is there, it is gone, and someone will take it away.
Yes, you can quantify technical indicators and it’s very simple because it is a set of mathematical formulae, whether they are quantitative or not it can be seen upon. But you can definitely quantify and automate them.
Yes, you can also quantify patterns and waves. Patterns with relatively much more ease; if you can think of something then the machine is capable of doing it because like our brain machine also works on logic. To elaborate on that some of the algorithms can be more complex when you are coding the logic and some of them can be easy to code.
For e.g. if you are drawing a trend line then it’s fairly simple, you are looking for two points and y=mx+c is what your formula for a trend line is and if you know the intercept you can create a line or if you know the two points you can calculate the intercept and create a line. That part being is not difficult, you can calculate the local maxima and local minima then you can draw the line. In case you are looking at something which has a lot of room for subjectivity that it can be more difficult.
Similarly on the wave side if you are trying to code an Elliott wave and have defined the wave rules very explicitly then it’s not that difficult but if you have kept a lot of room for subjectivity then, in that case, it will become very difficult. In fact, there are some tools available that are used for coding the patterns for these waves and we have also started working on such things which you should be able to see in the near future.
It all depends what works for you. If the ready-made software is already working for you and you are happy with the performance then you just need to keep on evolving and experimenting because the same thing won’t work all the time.
Definitely! In fact, this is one of the benefits of automating your strategy.
Controlling the emotions, giving you the scalability, giving you the bandwidth that you can use to work on the strategies while execution is carried out by the machines are some of the key benefits that you get by automating at any scale.
Unless if you are interfering with your port all the time then nothing can help you but assuming you are not doing that then yes automation can help.
Is algorithmic trading for retail traders? Probably yes, if you have the right skills.
But HFT for retail traders is definitely no because HFT is more of a technology game. Don’t get misled by someone if they say now you are a retail trader, you can go for HFT. This can be if the person doesn’t know what HFT exactly means or he doesn’t know what a retail trader means.
You would need to spend a reasonable amount of capital before you go and start trading HFT strategies. That does not mean you cannot do algo, algo you can.
But if you are planning to do cash future arbitrage or calendar spread or some basic put call arbitrage using a retail platform then probably you would not be seeing much success based on that.
In most of the HFT firms, if you are on the high frequency and low-latency side C++ is the preferred language, since it is the fastest and you are concerned about every microsecond. In case you are not concerned about that then you can have any other language, it doesn’t matter, and it doesn’t add that much latency that you should be concerned about. So yes, C++ language can be used.
Can it be the only one that can be used? If you are doing HFT then most likely yes but not otherwise.
Another important thing to know is that these programming languages are not just here to code algorithms or strategies but it also helps in doing a lot of research and analysis, so that is something which is more popular in R and Python. Even in the HFT test you will see a lot of analysts using R and Python for backtesting and evaluate the trading strategies. When it goes to production, the algorithms are coded in C++ for HFT. But for medium and low frequency any of the languages should be fine.
This is just limited information here but what I would suspect or what I would guess here is that something wrong in the backtesting parameters or the output parameters, there can be some room for optimization there.
In the quant trading strategies, you look at the sortino ratio as well as different ratios including the one basic thing that every trader looks at is the drawdown. So there is one basic but not so popular concept of in-sample and out-of-sample trading which is that you do not optimize your backtesting on the whole dataset that is available to you, you take it down to in-sample and out-of-sample data. In the in-sample data you do all the optimizations you want to do and then you run the strategy on the out-of-sample data on which it has not been optimized and you check how the performance is or in your case how the drawdown is. If the drawdown is too high then you need to curve a bit volatility in your strategy which is too high for a risk and if it is showing results which are giving back to back big losses in the out-of-sample data. So this is something that can help you and you might get some confidence in scaling up your strategy.
As we discussed earlier the HFT ratio just tells you about how much competition you can expect. If your strategies are plain vanilla arbitrage strategy then the HFT ratio would suggest that it might not be a good idea to venture into that market. If your strategies are not plain vanilla arbitrage strategy but are more intelligent, use more data analysis results and use more statistical data with some decent predictions, then, in that case, it might not matter that much.
High HFT definitely means that if you want to venture into the plain vanilla arbitrage strategies or even to certain extend market making strategies, you would need to have a technologically very strong infrastructure base on your end.