Trading
The Significance of PAMM or ForexCopy Accounts in forex trading

PAMM or Percentage Allocation Management Module is a software application used by the forex brokers to enable the forex investors to direct their assets/money to a specific trader capable of managing one or more accounts. In other words, a PAMM account allows the fund/account managers to manage multiple accounts by collating all into a single account.
By opening a PAMM account the forex investor can actually increase the potential profitability ratio. Here, the skilled PAMM fund manager also shares the investor’s PAMM account and is responsible for the efficient trading on the PAMM account. A PAMM account offers a platform where both the profits and losses can be shared in proportion.
With the use PAMM account, the account manager can also manage his personal forex account (which is known as Managed Account) and connect it to the investor’s account. And hence the profits and losses on both the accounts are distributed proportionally.
How to choose a PAMM account before opening it?
An investor should keep certain points in mind and analyze the different options thoroughly before opening a PAMM account while investing in forex:
- Account opening date: This enables the investor to evaluate the stability and growth of the related fund within the estimated time period starting from the day when the PAMM account has been opened.
- Profit analysis: Any investor delves into the forex market with an ulterior motive of making profit during his investment journey. And thus it is important for the investor to identify the profit graph (even though it is temperamental).
- If the investing amount and account currency is minimal as set by PAMM manager.
- Determining PAMM manager’s commission.
- Trading pattern and aggressiveness: This factor is essential to determine the number of trades or deals an investor may get involved in on a daily basis. It goes hand-in-hand with the deposit amount as and when investor opens a forex PAMM account.
- Deposit amount transferred to the PAMM account: This factor determines the amount of risk involved in trading.
- As the forex market and the permutations-combinations involved in forex trading generates profits and losses as an outcome, investors also experience an emotional breakdown when they incur losses. Hence, how soon the investor can recover from this emotional damage is important in determining the indulgence quotient of the investor.
- Finding out the appropriate PAMM manager, if the investor can gather information on the total equity generated by the manager in the previous trading attempts.
- Determining the type of investment: Generally there are two types of investment patterns observed- either short-term investment (or scalping investment) or long-term investment. The PAMM manager can help the investor ascertain the type of investment he can choose on the basis of the strategies applied and the manager’s trading techniques.
- Investors need to be aware of traders who indulge in data manipulations to attract investors and make money.
Trading
Trial by fire: Why 2020 experience will help the FX industry in 2021

By Vikas Srivastava, Chief Revenue Officer at Integral
I think I can say with confidence that 2020 has been the strangest year in my career to date. The FX markets have faced their fair share of geopolitical disruptions over the decades, yet nothing comes close to the impact of COVID-19. While we are not out of the woods yet, there are reasons to be optimistic about 2021.
As with many other industries, the last ten months has created the necessary conditions for innovation in FX by accelerating existing trends. Due to enforced lockdowns and distributed workforces, we now have many buy and sell-side institutions undertaking a greater proportion of electronic and algorithmic trading, automated workflows, and off-premise solutions. These trends are gaining pace, ensuring the FX industry has not simply coped but adopted and overcome during these difficult conditions.
It’s a good thing the market is in a position of quiet confidence as 2021 will not be a walk in the park. Along with contending with a low-rate environment and geopolitical uncertainty, new regulations will be introduced for the first time or as part of previous phases that were postponed due to the pandemic. Both SA-CCR and phase 5 of the uncleared margin rules (UMR) introduce greater cost implications for certain trades and introduce new headaches for OTC markets in particular.
With unavoidable events appearing on the horizon, institutions need to assess their technology to ensure they can continue supporting their clients irrespective of where we are working and the market conditions surrounding us. Cloud technology that is fast-to-implement and offers highly customizable features will allow institutions to keep up with accelerating trends and offer bespoke solutions to clients, all at significantly lower cost and without the need to compromise on quality.
Having learnt the lessons of the last year, the FX industry is in a strong position to push on again in 2021. To do so successfully, firms will need to maintain their ambition in innovating and introducing cost and operationally efficient technology. Those that do can fly high up in the clouds – no pun intended.
Trading
Capital Markets: The Last Frontier for Digital Transformation in Financial Services

By Dr. Avtar Singh Sehra, CEO, Nivaura
The last decade has seen financial services undergo vast digital transformation. New technologies and a greater ability to digitise and automate processes have brought greater efficiency and effectiveness to the sector, as well as enabling the creation of new, value-added consumer and B2B products.
Capital markets, however, remain largely unchanged. The industry is constrained by legacy processes that often involve substantial manual data input and document/spreadsheet management, which is inefficient in comparison to digital and automated operations. These inefficiencies have been squeezing capital market participants’ margins for far too long.
The current state of affairs
As it stands, a typical primary capital markets execution is a linear and sequential process involving multiple stakeholders, who repeatedly convey information back and forth manually to draft and execute legal documents, and then manage data input into multiple systems. This data is then sent across multiple institutions across the transaction lifecycle from pre-trade to post-trade, where it is again extracted and transformed to perform further lifecycle management activities. The processes that occur after drafting relevant documentation, such as clearing and record-keeping, are also manual and time consuming, with parties having to review documents individually.
There are some exceptions to this. For example, within commercial paper and certificates of deposit, there is some level of automation in how deals are executed, and data is transmitted from a dealer into post trade processes. In addition, high volume, structured, self-led transactions may be standardised to some degree. However, even with these isolated islands of partial automation, the general debt capital markets (DCM) issuance process remains highly manual and is in desperate need of digitisation and automation to increase its effectiveness and efficiency.
Not only do these repeated manual processes require significant human resources, but they are also prone to error. Humans, for all our gifts compared to machines, will never be able to achieve consistent 100% accuracy when it comes to complex data and document management processes. However, before we can even begin to discuss automating manual activities, they must first be digitised. This is crucial because it enables the capture of structured data throughout the transaction lifecycle. Only structured data can be easily leveraged for advanced automation, from simple if-then logic, to advanced machine learning technologies for complex cognitive decision making e.g., extracting data from complex documents.
Considering the evolution that the rest of the financial sector has undergone over the last twenty years when it comes to digitisation and automation, it’s hard to understand why capital markets have been left behind until now. But change is finally coming.
A turning point
2020 saw the winds of change begin to blow across the capital markets industry. In a first for the sector, a group representing all participants of primary capital market transactions is collaborating on a data standard to be used in legal documents as well as down-stream systems and transactions data flow: General-purpose Legal Mark-up Language (GLML). This collaboration is taking place under the umbrella of the GLML Consortium, whose founding members include magic circle law firms and capital markets infrastructure technology vendors.
GLML is a ‘mark-up language’: a type of human and machine-readable syntax developed to be easy for a lawyer (or, indeed, anyone else) to implement in documentation with little training, and without requiring coding experience. It enables users to easily turn their existing contractual templates, including precedents and pro formas, into machine readable files, which can then be used to create transactions with structured data from the outset that can map to a standardized taxonomy for transmission across the pre- or post-trade process. Any word processor or editor (including Microsoft Word) can be used to apply GLML, allowing drafters to create and maintain “GLML’d” templates in the same way they approach traditional documentation.
Fundamentally, GLML permits the accurate extraction of key data from legal documentation, allowing it to be passed to relevant intermediaries in a standard and automated and seamless manner.
The wider implications of GLML
At first glance, it’s easy to underestimate the impact that a standard like GLML could have on the capital markets industry, but enormous benefits come from what it will enable.
First, GLML enables the accurate creation of structured data, which is usually produced and executed in an unstructured way in debt capital markets transactions. GLML therefore allows data to be passed between relevant transaction participants and financial market infrastructures automatically and seamlessly, and thus easily mapped to other formats. This alone will make capital markets workflows much more efficient, increasing profit margins and freeing up human resources to focus on value-add tasks and projects. Furthermore, as the volume of structured data increases, we gain further capabilities to enable increasing automation using AI tools.
Second, GLML enables capital markets participants, from dealers and borrowers to lawyers, to communicate easily, and collaborate throughout the capital raising process on digital platforms. This again reduces human error caused by data input, extraction and transformation.
Third, but perhaps most importantly, is that GLML as an open standard drives expansion of the ecosystem and enables innovation. For example, if one were to invest in digitising and automating all their capital markets documents through “low-code” or “no-code” tools, they would be locked into one vendor’s tools and standards. This means that, as the industry changes and new services emerge, or if you simply want to convert generated data to other formats, significant further effort is required. This slows down adoption of such tools and makes communication and interactions between multiple parties more challenging.
It is accepted that a lack of standards creates friction in a market, which limits interaction, flexibility, agility and innovation. One of the most obvious examples of this is seen in the emergence of the World Wide Web, which is underpinned by HTTP/HTML and led to the explosive adoption of the internet in the 90s. We can even go further back than this, where the lack of “standard”, or, more accurately, lack of a common railway gauge (rail width), led to significant challenges in the early railways. When a line of one gauge met a line of a different gauge, trains couldn’t run through without some form of conversion, which would normally lead to passengers having to change trains. This resulted in significant delays, inconvenience and cost. Widespread adoption of railways globally did not come until a standard gauge was created.
GLML will achieve for capital markets what HTTP did for the internet. It will support the simplification and ultimately democratisation of capital markets, ensuring the demand for capital can be efficiently and effectively connected to the supply.
GLML, as an open data standard, is the first step to digitising and automating the lifecycle of the issuance process. Today, capital markets processes are outdated, leading to vast and unnecessary cost and risk. Evolution is both essential and inevitable and, driven by GLML, 2021 will be the year that the debt capital markets transform for good as the industry converges around a common standard.
Trading
Gold-i Integrates with CryptoCortex

Gold-i has integrated with CryptoCortex – an advanced digital asset trading platform from EPAM Systems, a leading global provider of digital platform engineering and development services. This provides financial institutions with increased access to multiple market makers and fully cleared cryptocurrency products available via Gold-i’s CryptoSwitch 2.0™, part of its Matrix multi-asset liquidity management platform.
The integration was completed following a request from a Gold-i client wanting to use the CryptoCortex platform to access liquidity from Hehmeyer and Shift Markets via Gold-i’s CryptoSwitch 2.0™.
Tom Higgins, CEO, Gold-i comments, “As digital asset trading continues to gain momentum amongst brokers, Prime of Primes and hedge funds, a key part of our strategy is to ensure that the cryptocurrency liquidity available through Gold-i’s liquidity management platform is easily accessible, regardless of which trading platform clients are using. CryptoCortex is one of the most advanced platforms for digital asset trading, therefore integrating with them was a logical step for Gold-i.”
“We are delighted to partner with Gold-i to provide our customers with real-time, event-driven processing and analytics that not only meets their essential needs but also delivers actionable intelligence,” said Ilya Gorelik, VP, Real-Time Computing Lab at EPAM. “Financial markets are among the fastest moving markets around, and with cutting edge tools – like CryptoCortex – that make data readily available, customers can quickly implement the best decisions possible.”
CryptoCortex is the most advanced institutional cryptocurrency trading platform on the market, providing a complete 360-degree solution for brokers/dealers, exchanges and buy-side trading firms. It has been developed by Deltix (now EPAM Systems), based on over 10 years’ experience in building, deploying and supporting institutional-grade intelligent trading across equities, futures, options, forex and fixed income.
Gold-i Matrix offers multiple routing and aggregation methods, leveraging connections with over 70 Liquidity Providers. It is super-fast and highly flexible, helping financial institutions worldwide to make more money and reduce risk. It supports FX, CFDs and cryptocurrencies in a single solution which is fully compatible with the Gold-i Crypto Switch. Crypto Switch™ 2.0, provides brokers worldwide with a fully cleared cryptocurrency product and a cost-effective, efficient means of accessing multiple cryptocurrency market makers who can provide deep pools of liquidity as a CFD or physical asset. For further information, visit www.gold-i.com.