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Have you ever wanted to know what the most profitable forex trading bots have in common? Do you want to unlock the potential of your own forex trading bot and maximize your profits? If so, you’ve come to the right place! In this blog article, we’ll discuss what a forex trading bot is, its different types, and how to choose a profitable one. We’ll also look at strategies to optimize your forex trading bot and risk management strategies. Finally, we’ll explore what the most profitable forex trading bots have in common. So let’s get started!

What is a Forex Trading Bot?

A forex trading bot is an automated trading system that uses computer algorithms to buy and sell currencies in the foreign exchange (Forex) market. These robots are designed to make trading decisions for you and can be programmed to execute trades automatically. Forex trading bots are designed to take the emotion out of trading, as they make decisions based on predetermined criteria rather than on intuition or emotion.

The forex trading bot is different from a human trader in that it doesn’t need to sleep, rest, or take breaks. It can work 24/7 and is constantly monitoring the market, making decisions and executing trades. This allows the bot to take advantage of opportunities that a human trader might miss due to fatigue or lack of focus.

Forex trading bots are becoming increasingly popular as they offer traders an alternative to manual trading. They are particularly useful for traders who don’t have the time or knowledge to trade manually.

Overview of Different Types of Forex Trading Bots

There are several different types of forex trading bots available. The most popular types include algorithmic trading bots, scalping bots, and arbitrage bots.

Algorithmic trading bots are designed to trade on multiple currency markets simultaneously. They use complex algorithms to analyze price action, identify trends, and execute trades. These bots are ideal for traders looking to diversify their trading portfolios.

Scalping bots are designed to take advantage of short-term price movements in the forex market. These bots use sophisticated algorithms to identify profitable opportunities and execute trades quickly. This type of bot is ideal for traders looking for quick profits.

Arbitrage bots are designed to take advantage of the difference in price between two different markets. These bots can identify opportunities to buy in one market and sell in another at a profit. This type of bot is ideal for traders looking to capitalize on market inefficiencies.

Benefits of using a Forex Trading Bot

There are many benefits to using a forex trading bot. First, they can take the emotion out of trading, as they make decisions based on predetermined criteria rather than on intuition or emotion. This can help traders stay disciplined and stick to their trading plan.

Second, forex trading bots can work 24/7, enabling them to take advantage of trading opportunities that a human trader might miss due to fatigue or lack of focus.

Third, forex trading bots can be programmed to execute trades automatically, saving traders time and effort. This can be particularly useful for traders who don’t have the time or knowledge to trade manually.

Finally, forex trading bots can diversify a trader’s portfolio, as they can be programmed to trade on multiple currency markets simultaneously. This can help traders reduce their risk and maximize their profits.

Analyzing the Different Components of a Forex Trading Bot

When choosing a forex trading bot, it is important to analyze the different components of the bot. The most important components are the trading strategy, the risk management system, and the money management system.

The trading strategy is the set of rules that determine when the bot will enter and exit trades. A good trading strategy should be based on sound technical analysis and identify profitable trading opportunities.

The risk management system is the set of rules that determine how much risk the bot will take on each trade. A good risk management system should be designed to minimize risk and maximize profits.

The money management system is the set of rules that determine how much money the bot will invest in each trade. A good money management system should be designed to maximize profits while keeping risk to a minimum.

How to Choose a Profitable Forex Trading Bot

When choosing a forex trading bot, it is important to do your research and select a bot that is profitable. Here are some tips to help you choose a profitable forex trading bot.

First, make sure the bot is based on a sound trading strategy. A good trading strategy should be based on technical analysis and identify profitable trading opportunities.

Second, make sure the bot has a good risk management system. A good risk management system should be designed to minimize risk and maximize profits.

Third, make sure the bot has a good money management system. A good money management system should be designed to maximize profits while keeping risk to a minimum.

Finally, make sure the bot has been tested and proven to be profitable. This can be done by backtesting the bot on historical data to see how it would have performed in the past.

Strategies to Optimize Your Forex Trading Bot

Once you have selected a profitable forex trading bot, there are several strategies you can use to optimize its performance.

First, it is important to keep your bot updated with the latest market trends. This can be done by regularly monitoring the markets and adjusting the bot’s parameters accordingly.

Second, it is important to diversify your trading portfolio. This can be done by programming the bot to trade on multiple currency markets simultaneously.

Third, it is important to use stop-loss and take-profit orders. This can help you minimize your losses and maximize your profits.

Fourth, it is important to use a backtesting tool to test the bot’s performance on historical data. This can help you identify any potential issues and improve the bot’s performance.

Finally, it is important to use a demo account before trading with real money. This can help you get familiar with the bot and make sure it is performing as expected.

Forex Trading Bot Tips and Tricks

Here are some tips and tricks to help you get the most out of your forex trading bot.

First, it is important to keep your bot up to date with the latest market news. This can help you stay on top of market developments and make sure the bot is trading with the latest information.

Second, it is important to use a good money management system. A good money management system should be designed to maximize profits while keeping risk to a minimum.

Third, it is important to make sure your bot is trading with real-time data. This can help you stay ahead of the markets and make sure the bot is trading with the latest information.

Fourth, it is important to use a demo account before trading with real money. This can help you get familiar with the bot and make sure it is performing as expected.

Finally, it is important to diversify your trading portfolio. This can be done by programming the bot to trade on multiple currency markets simultaneously.

What Do the Most Profitable Forex Trading Bots Have in Common?

The most profitable forex trading bots have several things in common.

First, they are based on a sound trading strategy. A good trading strategy should be based on technical analysis and identify profitable trading opportunities.

Second, they have good risk management systems. A good risk management system should be designed to minimize risk and maximize profits.

Third, they have good money management systems. A good money management system should be designed to maximize profits while keeping risk to a minimum.

Fourth, they have been tested and proven to be profitable. This can be done by backtesting the bot on historical data to see how it would have performed in the past.

Finally, they are regularly updated with the latest market news. This can help them stay ahead of the markets and make sure the bot is trading with the latest information.

Risk Management Strategies for Forex Trading Bots

Risk management is an important part of forex trading. It is important to use a good risk management system to minimize risk and maximize profits. Here are some risk management strategies for forex trading bots.

First, it is important to diversify your trading portfolio. This can be done by programming the bot to trade on multiple currency markets simultaneously.

Second, it is important to use stop-loss and take-profit orders. This can help you minimize your losses and maximize your profits.

Third, it is important to use a backtesting tool to test the bot’s performance on historical data. This can help you identify any potential issues and improve the bot’s performance.

Fourth, it is important to use a demo account before trading with real money. This can help you get familiar with the bot and make sure it is performing as expected.

Finally, it is important to use a good money management system. A good money management system should be designed to maximize profits while keeping risk to a minimum.

Conclusion

In conclusion, forex trading bots can be a great way to maximize profits and minimize risk. They can take the emotion out of trading and make decisions based on predetermined criteria rather than on intuition or emotion. They can also work 24/7 and take advantage of opportunities that a human trader might miss due to fatigue or lack of focus.

When choosing a forex trading bot, it is important to do your research and select a bot that is based on a sound trading strategy, has a good risk management system, and has a good money management system. It is also important to use strategies to optimize your forex trading bot and risk management strategies to minimize risk and maximize profits.

Finally, the most profitable forex trading bots have several things in common. They are based on a sound trading strategy, have good risk management systems, have good money management systems, have been tested and proven to be profitable, and are regularly updated with the latest market news.

So what are you waiting for? Click here to sign up for our free trial today and learn how to create your own trading robot using python! With the right forex trading bot, you can unlock the potential of your robot and maximize your profits!

Are you curious about how algorithmic trading can help you take your options trading to the next level? If so, you’re in the right place! In this blog article, we’ll be providing an overview of options trading, the benefits of algorithmic trading strategies, and how to create an algorithm-based options trading strategy. So let’s get started!

What is Options Trading?

Options trading is a type of investing that allows investors to buy and sell contracts that represent the right, but not the obligation, to buy or sell an asset at a predetermined price within a certain time period. Options trading is a great way to make money in the stock market. By using options trading, you can potentially make a profit whether the market is going up or down.

Options trading has become increasingly popular in recent years due to its potential for high returns and flexibility. With options trading, you can buy and sell stock options, commodities, currencies, and more. When used strategically, options trading can be an effective way to diversify your portfolio and increase your profits.

Benefits of Options Trading

Options trading has several benefits that make it appealing to investors. First, options trading can be used to hedge against losses in other investments. This means that if your other investments are not performing well, you can use options trading to help offset those losses.

Second, options trading is typically a low-cost way to invest. It can be much cheaper than buying stocks, mutual funds, and other types of investments. Third, options trading provides investors with more flexibility than other types of investments. For example, with options trading, you can choose when to enter and exit a position, as well as the size of your position.

Finally, options trading can help you diversify your portfolio. You can use options trading to gain exposure to different sectors and markets that you may not have access to with other types of investments.

What is Algorithmic Trading?

Algorithmic trading, also known as algo trading or automated trading, is the use of computer programs to make trading decisions. Algorithmic trading is widely used in the financial industry, from stock exchanges to hedge funds. Algorithmic trading strategies are based on mathematical models that generate trading signals and execute trades automatically.

Algorithmic trading strategies can be used to trade stocks, options, currencies, and other financial instruments. By using algorithmic trading strategies, traders can reduce their risk and increase their profits.

Types of Algorithmic Trading Strategies

There are several types of algorithmic trading strategies. Some of the most popular strategies include day trading algorithms, swing trading algorithms, and trend-following algorithms.

Day trading algorithms are designed to generate short-term profits. These algorithms look for price patterns in the market and execute trades when certain conditions are met. Swing trading algorithms are designed to capture longer-term gains. These algorithms look for trends in the market and execute trades when those trends are identified.

Trend following algorithms are designed to take advantage of long-term trends in the market. These algorithms look for and react to changes in the trend in order to generate profits.

An Overview of Options Trading Algorithms

Options trading algorithms are computer programs that analyze the market and generate trading signals. These algorithms can be used to trade options, such as calls and puts. Options trading algorithms can help traders identify potential opportunities in the market and execute trades automatically.

Options trading algorithms can be tailored to the individual trader’s needs and preferences. For example, some traders may want to use an algorithm that focuses on short-term profits while others may prefer one that takes a longer-term approach.

Options trading algorithms can also be used to generate signals for trading other financial instruments, such as stocks and futures.

Advantages of Using Algorithmic Trading Strategies in Options Trading

Using algorithmic trading strategies in options trading offers several advantages. First, algorithmic trading strategies can help traders identify potential opportunities in the market more quickly and accurately than manual trading. This can help traders make more informed decisions and increase their chances of success.

Second, algorithmic trading strategies can help traders reduce their risk. By using algorithms to analyze the market, traders can better understand the risks associated with certain trades and adjust their strategy accordingly.

Finally, algorithmic trading strategies can help traders execute trades more quickly. By using algorithms, traders can buy and sell options more quickly, which can help them take advantage of market opportunities before they disappear.

Steps to Creating a Successful Options Trading Algorithm

Creating a successful options trading algorithm requires a lot of planning and research. Here are some of the steps you should take when creating an options trading algorithm:

1. Define your trading goals and objectives. Determine what kind of returns you’re looking for and what type of trading style you prefer.
2. Develop a trading strategy. Decide which markets you want to trade and which trading strategies you’ll use.
3. Research and identify potential trading opportunities. Use technical analysis and other methods to identify potential trading opportunities.
4. Design and implement your algorithm. Use computer programming languages such as Python to create your algorithm.
5. Test and optimize your algorithm. Backtest your algorithm on historical data to identify any potential issues.
6. Monitor your algorithm. Monitor your algorithm’s performance over time and make adjustments as necessary.

How to Choose the Right Algorithmic Trading Strategy for Your Needs

When choosing an algorithmic trading strategy for your needs, there are a few things you should consider. First, determine what type of trading style you prefer. Do you prefer short-term trading or long-term trading? Second, decide which markets you want to trade. Different markets may require different strategies.

Third, decide how much risk you’re comfortable with. Different strategies involve different levels of risk, so be sure to choose a strategy that you’re comfortable with. Finally, decide which algorithm is best for your trading goals. Different algorithms have different advantages and disadvantages, so be sure to choose one that meets your needs.

Developing an Algorithm-Based Options Trading Strategy

Once you’ve chosen the right algorithmic trading strategy for your needs, you can start developing an algorithm-based options trading strategy. Here are some tips for developing a successful strategy:

1. Define your entry and exit points. Decide when you want to enter and exit trades and create rules to help you do so.
2. Test your strategy. Backtest your strategy on historical data to make sure it performs as expected.
3. Monitor your strategy. Monitor your strategy over time and make adjustments as necessary.
4. Use risk management. Use risk management techniques to help you minimize losses and maximize profits.
5. Use stop losses. Set stop losses to help you limit your losses if the market moves against you.

Best Practices for Algorithmic Options Trading

When using algorithmic trading strategies in options trading, it’s important to follow best practices. Here are some tips for algorithmic options trading:

1. Develop a trading plan. Develop a trading plan that outlines your entry and exit points, risk management techniques, and other trading rules.
2. Test your algorithm. Backtest your algorithm on historical data to make sure it performs as expected.
3. Monitor your algorithm. Monitor your algorithm’s performance over time and make adjustments as necessary.
4. Manage your risk. Use risk management techniques to help you minimize losses and maximize profits.
5. Diversify your investments. Diversify your investments across different markets and asset classes to reduce your risk.
6. Use stop losses. Set stop losses to help you limit your losses if the market moves against you.

Conclusion

In conclusion, algorithmic trading strategies can be a great way to take your options trading to the next level. Algorithmic trading strategies can help you identify potential trading opportunities, reduce your risk, and execute trades more quickly.

By following the steps outlined in this article, you can create your own successful options trading algorithm. Remember to define your trading goals, develop a trading strategy, research potential trading opportunities, design and implement your algorithm, test and optimize your algorithm, and monitor your algorithm’s performance over time.

If you’re interested in learning more about algorithmic trading strategies, click here to sign up for one of our free classes today and start learning how to create your own profitable trading robots!

Are you an investor or trader looking to maximize your profits? If so, you’ve likely heard of algorithmic trading. Algorithmic trading is a process of using computers to automate trading decisions. By using algorithms, investors and traders can quickly analyze market data and make decisions in a fraction of the time it would take a human trader. In this article, we’ll explore the world of algorithmic trading and how you can use it to make maximum profit.

What is Algorithmic Trading?

Algorithmic trading is a form of trading that uses computer algorithms to determine trades automatically. It works by analyzing market data, such as stocks, currencies, and commodities, and making decisions based on pre-defined parameters. Algorithmic trading can be used by both institutional investors and retail traders to buy and sell securities.

Algorithmic trading is one of the most popular forms of trading because it is fast, efficient, and reliable. With algorithmic trading, traders can quickly analyze market data and make decisions within seconds. This is possible because algorithms can analyze large amounts of data at once and make decisions faster than a human can.

The most popular form of algorithmic trading is high-frequency trading. High-frequency trading involves buying and selling securities in rapid succession, often within milliseconds. High-frequency trading is used by large institutional investors, such as hedge funds and investment banks, to take advantage of small price movements in the markets.

Benefits of Algorithmic Trading

Algorithmic trading offers several benefits for investors and traders. First, algorithms can quickly analyze large amounts of data and make decisions faster than a human trader. This can help traders and investors make decisions quickly and accurately.

Second, algorithms can be programmed to take into account a variety of factors when making trading decisions. This includes factors such as market trends, economic indicators, and news reports. Algorithms can also be programmed to take into account a trader’s risk tolerance, allowing them to make decisions based on their individual risk profile.

Finally, algorithmic trading can reduce the emotional bias that can often cloud a trader’s judgment. By taking the emotion out of trading decisions, traders can make decisions based on facts, not feelings.

Algorithmic Trading Strategies

Algorithmic trading strategies can vary greatly depending on the type of trading being done. For example, a trader may use a momentum trading strategy, which involves buying and selling stocks based on the strength of their recent performance. Alternatively, a trader may use a mean reversion strategy, which involves buying and selling stocks when they are trading at extreme highs or lows.

Traders can also use trend-following strategies, which involve buying and selling stocks based on the direction of the overall market. Finally, traders can use arbitrage strategies, which involve taking advantage of price discrepancies in different markets.

How to Choose the Right Algorithmic Trading Software

Once a trader has determined which algorithmic trading strategies they want to use, they need to choose the right software. There are many different types of algorithmic trading software available, so it can be difficult to know which one to choose.

When choosing an algorithmic trading software, traders should consider the features, such as automated order entry, backtesting, and real-time data analysis. The software should also be able to integrate with other trading platforms, such as Robinhood and TD Ameritrade. Finally, traders should consider the cost of the software, as some software can be quite expensive.

Algorithmic Trading Strategies with AI, Python, and Other Software

Algorithmic trading strategies can be further enhanced with the use of artificial intelligence (AI) and advanced programming languages, such as Python. AI can be used to identify patterns in the markets and make decisions based on those patterns. Python can be used to develop custom algorithms and automated trading strategies.

AI and Python can also be used to develop automated trading bots, which can be programmed to make trades based on pre-defined parameters. These bots can be used to trade a variety of markets, including stocks, crypto, options, futures, and forex.

Algorithmic Trading Strategies for Stocks, Crypto, Options, Futures, and Forex

Algorithmic trading strategies can be used to trade a variety of markets, including stocks, crypto, options, futures, and forex. Each market requires a different approach, so traders should do their research to determine which strategies are best suited for their needs.

For example, stocks are typically traded using strategies such as momentum and mean reversion. Crypto is typically traded using strategies such as trend-following and arbitrage. Options, futures, and forex are typically traded using strategies such as trend-following and mean reversion.

Algorithmic Trading Strategies for Quant Trading

Quant trading is a form of algorithmic trading that uses quantitative analysis to make decisions. This type of trading involves analyzing large amounts of data, such as market trends, economic indicators, and news reports, to identify patterns in the markets.

Quant trading strategies can be used to trade a variety of markets, including stocks, crypto, options, futures, and forex. Traders can use quant trading strategies to identify opportunities in the markets and make profitable trades.

Tips for Making the Most Profit with Algorithmic Trading

Algorithmic trading can be a lucrative way to make money, but it is important to understand the risks and rewards associated with it. Here are some tips for making the most profit with algorithmic trading:

1. Research the markets you plan to trade. It is important to have an understanding of the markets and how they work before you start trading.
2. Develop a trading plan. A trading plan should include your investment goals, risk tolerance, and strategies for entering and exiting trades.
3. Test your strategies. It is important to test your strategies before trading with real money.
4. Use risk management tools. Risk management tools can help you minimize risk and maximize profits.
5. Take profits when they come. It is important to take profits when they come, as markets can be unpredictable.

Courses for Algorithmic Trading

If you are interested in learning more about algorithmic trading, there are several courses available. These courses can help you understand the basics of algorithmic trading and how to develop strategies that can be used to make money in the markets.

Sign up for one of our free classes today and start learning how to create your own profitable trading robots!

Conclusion

Algorithmic trading is a powerful tool for investors and traders. By using algorithms, traders can quickly analyze market data and make decisions within seconds. Algorithmic trading can be used to trade a variety of markets, including stocks, crypto, options, futures, and forex.

In order to make the most profit with algorithmic trading, it is important to understand the markets, develop a trading plan, test your strategies, and use risk management tools. Additionally, it is important to take profits when they come as markets can be unpredictable.

If you are interested in learning more about algorithmic trading, there are several courses available.

Click here to sign up for one of our free classes today and start learning how to create your own profitable trading robots!

The Future of Money – A Fiat of Fiats

Traditionally money is just currency; proof of some agreed value, symbolized and made real by paper, plastic or coin, with any number of appointed stewards and middlemen. Whether the dollar or rupee, traditional currency is the output of creative, widely adopted agreements between parties that are in essence just enacted fiat systems. With the invention of blockchain, smart contracts, and tokenized digital currency, fiat agreements are still nearly the whole idea behind currency, except for now, they are off-paper, controlled by a ‘fiat of fiats,’ oracle data inputs, and popular work and will, rather than by middlemen, governments, or Libor Scandal-laden Wall Street. In this way, we are moving to a fairer monetary ‘oracle fiat reality,’ and away from a middleman gatekeeper arrangement, away from being controlled by false Robinhoods and real Madoffs. We are moving to a monetary reality that engenders much greater equality, transparency and democracy.

Blockchain can expand into spaces where physical money and gold standards cannot. Resource-based economies are looking like things of the past, or are soon to be. Resources are limited, agreements and imaginations are not. These economic ideas are all interrelated, but blockchain systems of finance allow the spender to further escape a resource-based economy and enter into the oracle agreement-based economy. The fiat of the fiats, if you will. 

It is for this reason that many in power based on their resource control, are made nervous by this ‘new money’ tech. To them and their traditional, sensitive hierarchical ways, with their hunger for power over others, resources, and systems of things, it seems adversarial to create options that provide another way, especially one based on consensus. But it’s already been done, and so we now see the scramble for power by those who don’t know or want this. The current ways of competition and modes of control come to claim ground, but they are out of their depth, and their ideologies that speak to dominance and control, to exclusively, are outdated. Ethics, fairness, and equality play much larger roles in money’s future, and also call to account those lacking these traits. Blockchain algorithms necessitate agreements be honored, their inputs be precise, and their histories be transparent. If those ways make you want to have a tantrum, maybe it’s you lacking something, not them. 

Decentralized versus centralized power, especially in the form of oracle control, will be big parts of the ethical and philosophical economic considerations going forward. Given these realities, it seems clear that the future of money is populist. 

Oracle Accounting 

In new tech fiat systems, solving oracle accounting and data problems is not left to one company, group, or government. This smart contract accounting is likely to evolve a first iteration of quantum accounting, or accounting for the ‘known unknowns.’ They provide great training ground to confront the ‘real reality’ we face around modern currency. The, “Who says?” of it all. Using Byzantine Fault Tolerance (BFT) ideas to screen aggregates of oracle data before input determination for smart contracts, is one route toward securing an untainted plurality preference and verified, factual information. In this way, probabilistic off-chain world events can be represented algorithmically. Other ways of screening are being explored, putting preference for Proof of Work algorithms over Proof of Stake. These dynamics are constantly being improved upon and are definitely spaces to watch. The questions regard a flow between what is and what could be, and how to quantify that flow. 

We have to recognize that the deterministic nature of blockchains, given oracle and data variability, is not absolute. Probabilistic frameworks must be employed by deterministic blockchains in order to account for the persistent, omnipresent ‘known unknowns’ of reality. Without this level of abstraction, even and especially within the blockchain smart contract, one cannot claim to be relating-to, or representative-of, ontological reality, or “real” reality. And this is a philosophical problem that even the Ancient Greeks were dealing with. Philosophers have long debated the questions of ‘what is what,’ and the ‘who says-ness’ of it all. With this expansive new era of money, we see these oldest dilemmas resurface with new urgency and expansiveness. 

Blockchain and smart contract evolution are not unlike the evolution of physics either. When quantum realities confused Newtonian-biased thinkers, the verifiably correct viewpoint was not one of exclusion and denial. The answer was not to mute the new quantum theories, though many physicists famously protested not doing so, including Einstein who said, “God doesn’t play dice.” There was and still is a desperation to replace the floor of certainty that was disappeared from classical physics when quantum theories arrived. The same can be said for those solely pitching determinism as a means to an accurate end in cryptographic transactions. It’s a sweet notion, determinism, a modernist nostalgia, but it is only part of the picture, and we live in a postmodern world now. It is up to us to realize determinism’s flaws in relation to the ontological reality scientists and programmers are tasked with facing. Probabilistic functions will necessarily be embedded into deterministic frameworks. These frameworks will likely use the probabilistic outputs as ethical data to represent expected variance. The ‘smartest contract’ considerations emerging will involve ‘0 or 1,’ and they will involve ‘0 and 1,’ and ‘everything in between.’ In this way, we see a viable use for quantum computing and veiled (unmeasured, unobserved) algorithms that preclude outcome and replace it with infinite maybes. The qubit modifier (theorized as a Bloch sphere) is one way to think of these possible contract additions physically.

Blockchain and smart contracts, along with the currency they flow, will not be optimal until these infinitely-obscure truths are grappled with and represented. If lack of oracle integrity exists, then it exists. If words like ‘trust’ and ‘fairness’ have different meanings to different people, or if someone isn’t tech savvy enough to understand blockchain lingo, then contract communication barriers exist. Where human contracts are involved, informed consent is involved, and that means there is a requirement for open discussion, verifiable data, repeatable scientific processes, and logic that encourages collaboration, not dominance. Dialogue, not dictatorship. 

Programmers have good reason to: 

• Create clear expectations and agreements in code that reflect Reality and are accessible to all
• Look to verify data and oracle information channels scientifically, transparently, with particular sensitivity toward exclusionary philosophies 
• Learn to include probability considerations in deterministic code 
• Know the smart contract situation is evolving, and that you can shape this entire conversation! 

It can also be argued that simply setting in place a desired control mechanism or two, and claiming it is faultless, is very analogous to what those Newtonian physicists felt compelled to do to replace the floor under them, to stay controlled, certain, and as ‘powerful’ as they perceived themselves to be before quantum theories arrived. It is understandable that chaos and probabilistic uncertainty are much more unsettling realities to deal with, but ignoring them is far worse for science, for Humanity, and for the evolution and functionality of blockchain programming algorithms. Ignoring ‘known unknowns’ is far from scientific or mathematically savvy. The denial of such dynamics is a serious weak point in any system.

The same holds true for blockchain mechanics. Talking about the unknowns earnestly and with transparency is the way forward. We all may want to make claims of invincibility and impenetrability in our tech and contracts, but broader reality doesn’t support these claims. Chaos exists. Force Majeure clauses exist in contracts for a number of reasons. The honest and scientific way forward is to address these questions, not to ignore them. We have to work through the toughest puzzles, not around them. The aim should be Copernican, to, ‘know you know what you know, and know you do not know what you do not know.’ That that is ‘true knowledge.’

“To know that we know what we know, and to know that we do not know what we do not know, that is true knowledge.”

― Nicolaus Copernicus

It is somewhat predictable that future fiat systems will employ both probabilistic and deterministic functions, one feeding the other, and iterating expansively this way. The known unknowns, just like in math, must be solved for or at least acknowledged and given their place in these equations. Some symbol must represent them in the accounting. 

Open source data and education around these topics is vital, and that is one reason why many programming professionals, including Lumiwealth, create so much free educational content. Along with other tech education platforms, Lumiwealth wants to stay relevant in its offerings, and part of that relevance is maintained by open communication and the sharing of ideas – an open source approach, as the scientific method requires, and as prior tech booms blossomed within. Just as webs 1.0 and 2.0 were built by open source collaboration, so will be web 3.0, future fiats, oracles, etc. One sure way to relegate yourself into irrelevance and obscurity is to close communication channels, and to treat the immutable as mutable, the unknown as irrelevant, or the determined declaration as Law. There is no ‘there’ there, not in a world filled with so much variance. 

The same is true for money, and for the future of money. Want to know how to invest? Look for the collaborative developers, and especially look for where they are creating quantifiable gains from ideas that only cost the amount of honest intellectual work put into them. Find those who can create something from nothing, and who can and want to verifiably explain how to do so to others. Gimmicks are everywhere, and they are nothing more than distractions, paywalls for your attention. These ‘snake oil salesmen’ still exist, but these days they may be selling security systems, ways to make you feel beyond chaos’ reach, or ways to make you feel there is a floor of certainty under you, when in fact there is not.

To sum it up, the future of money, physics, and blockchain tech are very similar. In a world where you could legally hoard and exclude, to shut-out and shutdown creative voices, it’s up to you to know why that exclusionary lockdown of information and proprietary conversation is disadvantageous. It’s up to you to know why collaboration, open communication, and open verifiability of viable solutions, are the real value-adders to any project. Focus on how they will push growth of all kinds forward, and team-up with people like those at Lumiwealth who encourage these ways forward. The short term bigness of the wealthy and well-staked will never compete with the long term yields of the intellectually honest, diligent, and truly equitable. Proof of Work is inherently more credible a buy-in than Proof of Stake, because it is more egalitarian in nature and comes from some true effort. This is the trend so many in power hate to admit the power of. 

Oracle data variability and oracle control, ethical smart contracts, and fair fiat currency frameworks, all presuppose a level of transparency that is simply unpalatable to the power hungry and greedy at present. This new era of money heralds, or perhaps is proof, that an evolution of Humanity is occurring – an honest collective acknowledgement that there are huge advantages to investing in the health, equitable treatment, and inclusion of the masses. This truth is seen in the open sharing of technical power, the nature of consensus algorithms, and the value of them being based on ethical, fair and transparent agreements. What a new day, indeed.