AlgoTrading Basics for Beginners and Advanced StrategiesHello,
1 Introduction
Algotrading or Algorithmic trading has brought about a revolution in the financial markets: automation of trades with the help of complex algorithms. These algorithms execute trades according to predefined rules and are quicker in capturing market opportunities compared to manual trading. HFT in gold HFT-based algotrading has also greatly skewed the transaction volumes in recent years, but even though these trades are very short-term, they can tell us something about longer-term trading strategies.
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2 What is Algorithmic Trading?
Algorithmic trading is a method of executing orders using automated, pre-designed trading instructions that account for variables such as trade timing, price, and volume. The platform has found application in the work of large financial institutions, hedge funds, and individual traders to facilitate the ease of trading strategy selection and optimization.
One might be, a set of rules that tells it to buy the gold if it falls below a certain level and sells as soon as the price of that gold hits a specified level. Traders can take advantage of small price movements without sitting in front of their screens all day.
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3 Why use Algorithmic Trading?
There are various reasons as to why one would engage in Algotrading:
Speed: It is obvious that technology is used to carry out trades and computers do this faster than people. This proves extremely useful in fast markets like gold trading where prices may change in milliseconds.
Emotionless Trading: An individual does not deviate from the proposal; emotional elements like fear and greed that affect traders do not affect its operation.
Backtesting: Trading systems risk analyses can be done using test histories which access the performance of trading systems on historical figures, thus preventing any risk when trading.
Precision and Consistency: Algorithms maintain accuracy levels in trade initiation with almost never deteriorating without human intervention as only information is required regarding trading and no emotions.
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4 Core Principles of Algorithmic Trading
Apart from trading in shares, forex or even taking a position in gold (XAUUSD) there are a few primary principles common to all algorithmic trading:
a Data Mining And Data Management
Technical Indicators – Besides backtesting and strategy optimization, algorithms employ very prominent technical indicators such as Moving Averages (MA), Relative Strength Index (RSI), Bollinger Bands, or other indicators associated with detecting trends or momentum.
Price Patterns – Other factors that might be of influence include pattern recognition algorithms which can be trained to identify specific shapes such as heads and shoulders, flags, or triangles, and thereby predicting price movements.
Volume Analysis – Volume analysis can be instrumental in price movement validation. Volumes increase during up-trend or down-trend and their analysis is essential when confirming trends or reversals.
b Machine Learning Models
Machine learning models aim to work in this way in modern algorithms with a view to predicting price changes in the near future. Algorithms that one develops or wires are fed with data sets and they learn patterns and devise methods of trading faster or more efficiently anyway as the case might be. There are other strategies like SVM, Random Forests, and Neural Networks that one can use to enhance predictive power.
c High-Frequency Trading
HFT involves placing numerous orders and getting them executed in split seconds and on some occasions microseconds. That is particularly attractive in cash markets like a gold market where there are narrow price bands in which one can place determinants and capitalize on the fluctuations.
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5 Advanced Techniques in Gold (XAUUSD) Algorithmic Trading
Trading gold presents unique challenges and opportunities in the algorithmic trading world. Here are some advanced techniques tailored to the XAUUSD market:
Reinforcement learning has emerged as a powerful technique in gold trading. RL works as the trading systems interact with the market and improvise over the strategy by solving the problem by trying it in the market. This is useful for gold trading, as RL strategies are adaptable to external shocks such as economic news or investor sentiment changes.
They include sentiment predictions around precious metals.
Gold as an asset class has a unique character because it is a ‘safe-hoard’ asset and hence its price is subject to global and domestic conditions, military conflicts and general investor feel. Sentiment algorithms incorporate news, social networks, and reports on economics and stock markets to identify the mood of the investor's community. If there is a piece of news pointing to some uncertain or negative times ahead, then the algorithm predominantly directed by the sentiment may initiate purchases of gold.
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6 The Future of Algorithmic Trading
Although this form of trading has not yet reached widespread use, the potential of quantum computing in investment strategies including gold markets is promising. Quantum calculations have been demonstrated to outperform classical computation in solving combinatorial optimization problems and processing big data. This can allow the development of new and better trading strategies and more effective utilization of unnecessary.
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7 Practical Use of the Traders on Platforms like TradingView
With the inception of platforms like TradingView, algorithmic traders have been aided with a design, a test, and an automated strategy submission in the most reliant fashion.
a Algorithmic Strategies Implemented Using Pine Script
On its part, TradingView accepts user-written trading algorithms. Pine Script programming language is based on TradingView. These traders favor strategies resting on either technical indicators, patterns, or custom conditions. For instance, one can formulate a strategy to place a gold (XAUUSD) order whenever the price rises above its 50-day moving average and a closing order whenever the price goes down.
b Strategic Testing
Strategies (algorithms) are tested using back-testing methods incorporated in the trading software, this process is known as back-testing. A feature of the TradingView platform is that a trader can run their algorithms on record and see how those algorithms would have played out on historical data. This is important for adjusting the entry and exit plus the risk control parameters and further the performance of a strategy.
c Community Insights
Another benefit of using the TradingView platform is the community of traders around it who can post their strategies, exchange ideas, and learn from each other. You will be able to learn how other traders have taken to algorithmic trading with gold and other assets and be able to develop better strategies.
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8 Tactics to Consider for New and Intermediate Trading Positions
The strategies provided for algorithmic trading may vary from simple to complex in levels. Below are some typical strategies that every trader should consider implementing in their trading practice:
a Trend Following
This is perhaps the most basic type of algorithmic trading. The idea is very simple; one buys those assets that are on the uptrend (bullish) and sells those that are on the downtrend (bearish). For example, in gold trades, a strategy for a trader may be quite simple: moving averages. For instance, an algorithm could be designed in such a way that it buys gold whenever the 20-day moving average of gold crosses the 50-day moving average upwards and sells when this situation is reversed.
b Arbitrage
Arbitrage strategies, as the very definition suggests, enable traders to exploit all such situations which emerge, due to the mispricing corrects routinely. In gold trading, for instance, this would refer to the action of selling short shares in an exchange retrieved in one exchange, where that price, would include a premium orchestrated by other markets.
c Mean Reversion
Mean reversion strategies originate from the classic concept that there is a high likelihood of prices returning to their average or mean. For instance, an algorithm buys an asset such as gold if its average is lower than the over its certain period moving average and sells whenever it is above that average.
d High-Frequency Trading (HFT)
HFT although it calls for many resources, there are traders who have this kind of approach to gold markets in that they seek to benefit from price changes within seconds or rather milliseconds HFT. This strategy also calls for other aspects such as having very good network connectivity to enable very fast execution of trades as well as high volume trades.
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9 Conclusion
Algorithmic trading opens a world of opportunities for all kinds of traders. It doesn't matter whether you're a beginner looking into simple tactics such as trend-following or a seasoned trader putting more sophisticated approaches to work with gold (XAUUSD), there has never been a time that the tools and methods are more readily available to you for successful algotrading. Traders can use existing platforms such as our TradingView to develop, back & optimize their strategies to keep up with today’s fast-moving financial markets.
The financial world is evolving and staying up to date with these new breakthroughs in technology, including machine learning, sentiment analysis, and quantum computing will help give the traders the edge. Algorithmic trading can become everyone’s thing if one is patient, disciplined, and keeps learning.
Regards,
Ely
Algorithms
Harnessing the Power of Artificial Swarm Intelligence in TradingI) Introduction
Artificial swarm intelligence (ASI) has come in as the latest disruptor in trading and other industries in this world. This advanced technology, inspired by the sociobiology of social organisms like bees, birds, and fish, leads to the latest innovations and efficiencies found in the financial markets. Herein lies an informative overview of ASI, underscoring its principles and its utilities and advantages in trading.
II) What is Artificial Swarm Intelligence?
Artificial swarm intelligence makes one mimic the decision-making behavior of natural swarms. Swarms of bees, schools of fish, or flocks of birds in nature make group decisions that are often superior to those made by individuals in the same field. It exploits this relationship through algorithms and dynamic sharing of data to allow collaborative decision-making in artificial systems.
III) How Does ASI Work?
ASI has three basic components :
1) Agents: These are members of the swarm, often represented by single algorithms or software programs that take part, such as trading bots or software applications that analyze the market for many different data sources.
2) Communication Protocols: These protocols enable agents to relay information and together make decisions. Thus, good communication will enable all agents to receive the most current data and thus be aware of market trends.
3) Decision Rules: These are predetermined rules that guide agents regarding how to interpret data and make decisions. These rules usually imitate the simple behavioral rules present within the natural swarms-for example, either to align with neighboring swarming agents or to strive for consensus.
IV) Applications of ASI in Trading
1) Market Prediction: ASI systems can process enormous market datasets, recognize historical patterns, and analyze real-time news to make informed market predictions. By providing agents with a common perspective, this system is capable of forecasting stock prices, commodities, or any other financial instruments much more effectively compared with conventional techniques.
2) Risk Management: In trading, effective management of risk is a very important aspect. ASI facilitates the comprehensive examination of the volatility of the market and how individual investors behave to identify possible risks. In this way, the risk assessment will benefit from the wisdom of the crowds and its falling human error rate.
3) Algorithmic Trading: ASI controls technological trading as it is in constant evolution by the market and the traders. This evolution is beneficial in the aspect of lowering the costs of the trading algorithms concerning the costs of the transactions carried out.
4) Sentiment Analysis: ASI technologies monitor and examine the social networks, news, and traders’ discussions within trader communities to analyze these markets. Such up-to-date information avails the traders of the present atmosphere of the markets which is useful in making forecasts at the right time.
V) Merits of ASI in Trading
1) Increased accuracy: The inherent ASI decision-making characteristics increase the accuracy of market forecasts and trading decisions.
2) Greater efficiency: ASI digests material far more rapidly than older methodologies – enabling quicker actionable measures and therefore earning better trades by the traders.
3) Ongoing learning: ASI systems can learn and refresh their knowledge of the markets on an ongoing basis further increasing their adaptability.
4) Lower subjectivity: The incorporation of crowds helps to curb individual limitations and therefore results in a more objective analysis of the market that is devoid of personal bias.
VI) The Future of ASI
With the development of artificial swarm intelligence, its application in trading will surely diversify. More sophisticated agent communication systems will probably be necessary, faster information processing systems in real-time and systems with more capacity. All these will see the integration of ASI more into trading.
VII) In conclusion
Artificial swarm intelligence is a revolutionary method for making decisions in trading. The collective intelligence of the system allows traders to form better predictions accurately, increase their efficiency, and manage their risks. With future technological advancement, the role of ASI in trading will continuously see increased emphasis, leading the financial market into the future.
- Ely
META - Updated analysis after nailing our 20 point shortIf you caught the move down utilizing my last video, bravo. We knew what to look out for and why we were expecting that move.
Moving forward, we do have a bullish bias considering the strong recovery off of yellow support however we are going to need green and blue tapered selling to continue to build liquidity for a larger breakout. We can see massive liquidity built in our left shoulder for a potential grab of liquidity and confirmation of an inverse H&S.
For immediate price action, we do need to see our orange strong buying continue to carry price - and if magenta more tapered is what is holding us up, we do expect a retest of the bottom of our green and blue tapered selling algos. This, although short term would be bearish, would be great for bulls to utilize for a larger breakout upward.
Keep an eye out for those levels to act as support and reactivate our strong orange buying.
Happy Trading :)
Great level to buy USDHi traders, that is what we are currently expecting in the markets !
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Prices do change constantly and following PRIMEALGO channel will keep you updated with a highly experienced traders around the globe.
Baidu Finding a Bottom SoonBased on historical movement, the trough could occur anywhere in the larger red box. The final targets are in the green boxes. The pending top should occur within the larger green box as has been the historical case. Half of all movement has ended in the smaller green box. In this instance, the signal indicated BUY on September 17, 2021 with a closing price of 161.86.
If this instance is successful, that means the stock should rise to at least 163.12 which is the bottom of the larger green box. Three-quarters of all successful signals have the stock rise 3.595% from the signal closing price. This percentage is the bottom of the smaller green box. Half of all successful signals have the stock rise 7.5065% which is the end point of the black dotted arrow. One-quarter of all successful signals have the stock rise 11.633% from the signal closing price which is the top of the smaller green box. The maximum rise on record would see a move to the top of the larger green box. These are the same concepts for the levels in the red boxes as well.
The ends/vertical sides of the boxes are determined in a similar fashion. The peak of the rise can occur as soon as the next trading bar after signal close, while the max rise occurs within the limit of study at 40 trading bars after the signal. A 0.5% rise must occur over the next 40 trading bars in order to be considered a success. Three-quarters of successful movement occur after at least 8.0 trading bars; half occur within 25.0 trading bars, and one-quarter require at least 37.0 trading bars.
The black dotted arrow represents median historical movement. Medians are a good metric, but they are just one of many I use when forecasting future movement.
As always, the stock could decline the very next bar after the signal without looking back (therefore the red boxes would not come into play) or the stock may never decline (and the green boxes may never come into play).
Illinois Tool Works To Buck Trend and Move Up?Based on historical movement, the trough could occur anywhere in the larger red box. The final targets are in the green boxes. The pending top should occur within the larger green box as has been the historical case. Half of all movement has ended in the smaller green box. In this instance, the signal indicated BUY on September 8, 2021 with a closing price of 221.85.
If this instance is successful, that means the stock should rise to at least 223.5 which is the bottom of the larger green box. Three-quarters of all successful signals have the stock rise 2.612% from the signal closing price. This percentage is the bottom of the smaller green box. Half of all successful signals have the stock rise 3.67% which is the end point of the black dotted arrow. One-quarter of all successful signals have the stock rise 5.9855% from the signal closing price which is the top of the smaller green box. The maximum rise on record would see a move to the top of the larger green box. These are the same concepts for the levels in the red boxes as well.
The ends/vertical sides of the boxes are determined in a similar fashion. The peak of the rise can occur as soon as the next trading bar after signal close, while the max rise occurs within the limit of study at 40 trading bars after the signal. A 0.5% rise must occur over the next 40 trading bars in order to be considered a success. Three-quarters of successful movement occur after at least 11.5 trading bars; half occur within 24.0 trading bars, and one-quarter require at least 33.5 trading bars.
The black dotted arrow represents median historical movement. Medians are a good metric, but they are just one of many I use when forecasting future movement.
As always, the stock could decline the very next bar after the signal without looking back (therefore the red boxes would not come into play) or the stock may never decline (and the green boxes may never come into play). The bonus analysis is explained...
Target Box Pivot Points For Spire Inc 1 of 2I have studied 15 recent buy signals for Spire and bumped the data against historical movements when similar buy signals occur. This is the cluster of all boxes. I will clean up in the next post for my final call on target bottoms and target tops. Regardless. The BUY signals stretch from August 19 through August 27. The larger PURPLE boxes are projected bottoms based on all historical data. The smaller PINK boxes are more specific bottoms based on the median data historical bottoms. While the bottom should occur in a purple box, my specific goals are in the pink boxes.
The larger BLUE boxes are target tops (likely after the move downward to PURPLE box areas) based on all historical movement. The smaller YELLOW boxes are the more specific target tops.
The next post will have the specifics.
Let's look at the bigger picture for BITCOIN ! Up or Down ?This analysis is based on weekly candles for BTCUSDT.
Bitcoin has been doing pretty well lately, making higher highs and breaking it's own records week after week. If the price is able to hold $57k range for some more time, it could see another upward movement, targets for which are $75K or even $100k. On the other hand, if it breaks the immediate support, the next support lies at around $45k which could also act as a good support and bitcoin might accumulate between this range and immediate support range to make a move higher. Breaking $45k areas, could see upto -40% decline.
The RSI weekly has been in the overbought zone since 26 weeks now, and we can see a hidden bearish divergence, however if RSI breaks this divergence, it's due for another rally. MACD and signal lines are also far apart, and MACD line might soon cross under the signal line, if the masses begin to sell or take profits.
This isn't a very good time to buy more BTC, or get into any long trades. Traders should wait for few more weeks for the confirmation and act accordingly.
Do your own research
Follow us for more ideas and do like and comment. Kindly share your views on the analysis.
Happy Trading
Mohawk is oversold. Is this one ready to run up?I have changed up how to best display projected movement. In the case of MHK, 4 of my algorithms signaled a BUY on March 24, 2021. Equities nearly always obey the signal and move up, but sometimes it may continue to move down first.
I have placed two red boxes and two green boxes on the chart. The larger red box depicts all of the historical movement, from a percentage standpoint, that this stock has moved on the 3 Hour chart after a BUY signal occurred. Therefore, this box represents 100% of previous movement downward before the stock finally moved upward. The smaller red box represents 50% of all historical movement downward, before the stock moved upward. The smaller box is more of a precise target for the potential bottom in this instance.
The green boxes represent the same thing. In this instance, the smaller green box would be my projected target for the final top.
The black dotted arrow represents median historical movement. Medians are a good metric, but they are just one of many I use when forecasting future movement.
As always, the stock could rise the very next bar after the signal without looking back (therefore the red boxes would not come into play) or the stock may never rise (and the green boxes may never come into play).
All statistics and the full analysis are available for free as always at the site below.
MYRG joins list of my near-term shortsI have changed up how to best display projected movement. In the case of MYRG, 5 of my algorithms signaled a SELL on March 19, 2021. Equities nearly always obey the signal and move down, but sometimes it may continue to move up first.
I have placed two red boxes and two green boxes on the chart. The larger red box depicts all of the historical movement, from a percentage standpoint, that this stock has moved on the Daily chart after a SELL signal occurred. Therefore, this box represents 100% of previous movement upward before the stock finally moved downward. The smaller red box represents 50% of all historical movement upward, before the stock moved downward. The smaller box is more of a precise target for the potential top in this instance.
The green boxes represent the same thing. In this instance, the smaller green box would be my projected target for the final bottom.
The black dotted arrow represents median historical movement. Medians are a good metric, but they are just one of many I use when forecasting future movement.
As always, the stock could decline the very next bar after the signal without looking back (therefore the red boxes would not come into play) or the stock may never decline (and the green boxes may never come into play).
All statistics and the full analysis are available for free as always at the site below.
Caterpillar (CAT) is flashing sell on this chart, Thoughts?Based on the closing price for the past 3 days, CAT is lighting up my trading indicators like a Christmas Tree--a red Christmas tree. The RSI algorithm fired the first sell signal. 5 algorithms agreed it was time to sell based on Friday's close which means this coming week could get more nasty than the market was last week.
I have plotted all of the potential delays to the actual sell off followed by the potential target bottoms. All of these targets and days are based off of historical median and average price action when each signal triggers a SELL on the Daily chart. I received many major SELLs on Friday which is quite the confluence of future activities. I selected NOK, CAT, and AXP as there was a large amount of agreement across the timeframes. Last week was rough and preceded by a bearish MACD cross on the S&P 500 index. All of these signals taken together could spell a 20% correction in the near future.
The historical figures and reasons for each target are posted as always on my website in the signature block. Feel free to follow as we post new articles nearly everyday.
XBTUSD: Stochastic Pop and Drop AlgoAlthough, I tried to open a trade yesterday, but I didn't find the suitable entry point for me.
But one of my trading algos did it for me and nailed the bottom of the last dump (about 9750).
Hope it'll close trade soon, bot results for 2 months looks fine.
Information is just for educational purposes, never financial advice. Always do your own research.
V Symmetrical TriangleV gained momentum in January as it announced new displacement technology for 2020. The stock has a Professional Trader setup for triggering High Frequency Trader algorithms, which ran the stock up with momentum. Profit taking quickly halted the run temporarily with a gap down. Smaller Funds VWAPs triggered on the Buy on the Dip, which created another 4 days of profit taking.
Just a possible triangle. Why not?Just a good idea( with the help of Sampdm8 , respect! ).
Will track it for a while for fun.
This is a Descending bullish Triangle.
In bullish markets,
while being formed as a correction(always)
relative to the global bullish trend,
signals about the PARENT trend continuation,
i.e. the previous movement continues...
not vice versa!
Bitcoin - Long Term Bear - Short Term NeutralMegalodon SetUps are showing 48 SetUps that are giving a buy signal. Megalodon SMA is showing the color of red. Thus, signalling bear market state.
Megalodon Isolators are showing values around 31,000. Thus, signalling us oversold levels or, in other words, buy zone .
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We have averaged a backtesting result of 100% on many different assets including Bitcoin/USD, Gold/USD, Apple/USD, TurkishLira/USD OVERALL.
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Equity Trend goes long in MTBC #marketimpact @randholmQuant strategy Equity Trend sets long position in MTBC.