The Ease of Movement (EMV) indicator measures the degree to which prices can be moved by a lower volume of trading. It was developed by Richard Arms, inventor of the Arms Index, which also attempts to quantify the relationship between price movements and volume. High positive values indicate a present tendency for prices to increase on low volume, and larger negative values indicate that prices are slipping lower but with relatively low trade volume. Continue reading...
W.D. Gann developed a suite of technical analysis tools around the 1930s, with Gann Fans being among the most essential in his toolkit. Gann fans are a collection of lines placed on a price chart that, in theory, help traders gauge potential price changes. Gann theorized that prices were likely to be sequentially bound by markers; that is, if a price broke through one marker, it would be likely to use the next ones as its new support or resistance level. The range between the lines gets wider the further they extend from the origin, which makes Gann fans suitable for long-term charting in which the number of traders and the size of total market cap grows over time. Continue reading...
The Herrick Payoff Index is one of the only technical indicators to combine price, volume, and open interest data for the analysis of futures, commodities, and derivatives. The Herrick Payoff’s main function is to elucidate whether money is flowing into – or out of – the derivative instrument in question. It can be useful for spotting divergences that may occur before prices change direction, or for confirming price trends. Continue reading...
There have been many incidents where cryptocurrency has been stolen, but the Mt. Gox incident is the largest to date Mt. Gox was at one time the largest cryptocurrency exchange on the net, facilitating as much as 80% of global bitcoin trades, according to some sources. And then about 850,000 bitcoin suddenly went missing. At the exchange rate in 2014, when the problem came to light, that many bitcoin were worth about $450 USD. At the time of this writing, with Bitcoin at a high in 2017, that man... Continue reading...
The cryptocurrency community has opened up creative options for making money in the form of lending platforms. A few forms of lending exist for cryptocurrencies at the time of this writing. One way to do it is to make your funds available in a lending market facilitated by an exchange, such as Poloniex, where you can name your interest rate and allow other traders to use your funds for trading on margin. Continue reading...
Many examples of open-source software exist today, including the code for Bitcoin and other cryptocurrencies. “Open-source” describes software or code that is available for anyone to use, modify, study, or share without incurring any cost. In most cases, the open-source software has been created through unrestricted and collaborative community involvement, which is sometimes called “crowd-sourced.” The word “source” in this case refers to the source code that lays the foundation for software programs. In some cases, the same source code can be used as the foundation for many different software applications built on top of it. For example, the Valve Corporation’s game engine code, ironically named Source, has been used to create approximately 50 different games, many of them by independent developers using the open-source code. Continue reading...
Dive into the forex market's heartbeat with our in-depth analysis of the top 8 tradable currencies. From the dominance of the U.S. dollar to the allure of the South African rand, each currency tells a story shaped by its central bank, economic policies, and global standing. Whether you're a seasoned trader or new to the forex scene, our guide offers valuable insights into the currencies that make the financial world go round. Uncover the intricacies of the forex giants and the nuances that drive their value. Get ready to trade with knowledge as your currency. Continue reading...
AI-powered trading bots are transforming financial markets, enabling smarter, data-driven investment decisions. Discover the Top 10 AI Trading Bot Double Agents that leverage advanced pattern recognition and inverse strategies to maximize returns while managing risk. Learn how Financial Learning Models (FLMs) enhance market predictions and trading precision. 🚀📊 Continue reading...
In a volatile 2025 market, Tickeron’s AI-powered APH/SOXS Double Agent strategy delivers a +174% annualized return by pairing Amphenol's tech growth with SOXS’s inverse hedging. Learn how this 15-minute AI model balances precision, performance, and risk management. Continue reading...
Can AI trade smarter than humans? Discover how 2025’s top-performing AI Signal Agents combine long positions in tech giants like NVIDIA, TSM, and Broadcom with strategic hedges like NVDS and SOXS. Learn how these bots are reshaping the future of trading! Continue reading...
Tickeron introduces a powerful AI-driven Double Agent Trading Bot that pairs bullish trades on TSM with bearish positions in SOXS. Designed for both new and experienced traders, it blends real-time insights, automated execution, and swing trading precision for optimized performance. Continue reading...
AI trading bots are transforming the financial markets with advanced strategies that achieve a 75%+ win rate. The "Double Agent" model leverages long positions and inverse ETFs to maximize gains while minimizing risk. Learn how AI-driven trading can optimize your investment strategy! 🚀📊 Continue reading...
AI Trading Double Agents are transforming the financial markets by leveraging machine learning and real-time data analysis to execute smart long and short trades. Discover how these AI-driven bots optimize trading strategies, manage risks, and maximize returns in any market condition. 🚀📊 Continue reading...
Tickeron’s third-generation AI trading bots are redefining retail investing with real brokerage integration, advanced hedging strategies, and annualized returns up to 36%. Explore how these intelligent agents use real-time data and machine learning to outperform traditional methods. Continue reading...
Tickeron launches its innovative Double Agent Trading Bot, offering dual-strategy AI trading for CRS and SOXS. Designed with Financial Learning Models, the bot adapts to market trends, providing precision, automation, and risk-managed swing trading for all experience levels. Continue reading...
The Double Agent Trading Bot is revolutionizing AI-driven trading by combining price action strategies with hedging for MU & SOXS. Learn how Agentic AI enhances risk management, adapts in real time, and optimizes trade execution for a smarter, more resilient auto trading experience. Continue reading...
AI-powered trading bots are transforming financial markets, delivering superior returns by leveraging machine learning and real-time data analysis. Discover how these advanced systems outperform traditional strategies, optimize trade execution, and provide investors with a competitive edge in today’s fast-paced market. Continue reading...
AI trading bots are revolutionizing investing by outperforming traditional tickers. Learn how AI-driven strategies for QQQ, TSLA, NVDA, and AVGO use inverse ETFs like QID and SOXS to maximize profits, hedge risks, and navigate market volatility with precision. Continue reading...
What if you could profit in both bull and bear markets? Dive into Goldman Sachs' 10-year S&P 500 forecast and see how AI-powered Double Agent bots use TSM and SOXS to trade smarter. Discover how real-time data and inverse ETFs are reshaping the future of investing! Continue reading...
Tickeron’s AI Double Trading Agent delivers a +116% annualized return with over 90% win rate on NVDA and SOXS trades. Combining 15-minute machine learning with advanced trend filtering, it offers precise, adaptive strategies for both novice and experienced traders. Continue reading...