How Running Alpha is Changing the Way Equity and Option Traders Can Profit from Super-Outlier Momentum Trends and Momentum Crashes

Meet Efrem Hoffman — he is the “Visionary” behind the Running Alpha Story.

Efrem’s insights are rooted in the philosophy that not all things in the world can be rendered with immediate visibility. This is especially relevant to human-driven financial enterprise.

His passion is focused on waking up our capacity to see more, and reveal the dynamics of the whole manifesting in the system parts. Only then can we start to comprehend the big picture and make informed decisions that can deliberately paint the canvas.

Efrem hopes to play an inspirational role in helping investors and business executives have pain-free experiences on their journey toward better decision-making.

His vision is to see RunningAlpha.com as a leading part of a story for rethinking the way mankind can start collaborating with nature for better exploiting complexity and uncertainty; and compensating for the human condition and machine biases that get in our way of both perceiving world events in high-definition and making bold decisions with attention to detail.

Applying this philosophy to his daily life, Efrem is able to identify hidden Support and Resistance Boundaries?for all major markets for impressive results when investors overlay?these levels with their own trading tools. When combined with the critical times identified on his inhouse proprietary?Time Maps of Momentum Perception Biases and Future Sentiment Jet-Stream Behavior, traders and investors?of all skill levels are expected to discover a unique edge they never had before in their trading experience!

To make this experience seamless, Efrem does all the heavy-lifting by embedding?this?time-relevant decision-making into Running Alpha’s Actionable Intelligence and Trading Idea Commentary.

To best protect yourself and thrive in today’s?markets of peak uncertainty, take a “walk into the future” with Efrem, and join him on his?journey for opening new avenues of trading and investing clarity, empowering you with original and stimulating insights that are?complimentary and refreshingly unique from anything you will find in the global trading research and educational investing arena!

Efrem Hoffman is the CEO, Founding Architect, and Thought-Leader of RunningAlpha.com Investments Inc., an independent client-focused Canadian Innovation Think-Tank, headquarted in Toronto;

Employing patented and proprietary insights at the intersection of physics and finance for exploiting market uncertainty and market complexity for competitive advantage --

Rendering visibility of ultra-slow and hyper-changing states of complex non-linear financial market systems for:

Exposing hidden and anomalous imbalances between uninformed and smart real-money market players in dark and lit dark and lit markets; and

Scrutinizing subtle and not so subtle cross-market action-reaction feedback chains of emergent sentiment, momentum, and trade positioning biases, thereby:

Putting boundaries around future events, both in price and time; and

Revealing Alpha Panic Boxes? and Alpha Opportunity Windows?, that are powering disruptive shifts in social mood -- underlying emergent mega trends in global financial markets --

telling you precisely when to schedule your trading activities, so that you can start:

avoiding market noise; and capturing these most profitable moments of transformational change.

This will give you the confidence and comfort in building, trimming, and closing out positions at the right moments -- either by replacing assets with cash, alternative equity and/or a combination of ETF and commodity, and option trading instruments, that are in the earlier innings of an extreme trend reversal.

Here is why you should listen to Efrem Hoffman.

As premium members should expect, not only is Efrem laser focused on delivering these objectives each and every trading day; he is also:

Consistently Ranked on Thinkers360’s Leader-Board of the World’s top 50 Fintech, Quantum Computing, and Cryptocurrency thought-leaders, and has been:

Featured and Quoted in Best Selling Amazon Book Releases in the categories of pption and derivative trading, and [ B2B Business Technology Innovation ], including:

The Nuclear Option: Trading to Win with Options Momentum Strategies; and The Remarkable Effect.

Efrem has been an invited keynote speaker and rountable moderator at international financial trading technology and machine intelligence conferences, including, but not limited to panel discussions on the state of the economy and markets with Technical Trading Market Hall of Fame luminarie(s) on Bloomberg Charts day.

He also offers professional key-note speaking and private fire-side chats and breakout trading innovation and discussion groups -- both on live digital and in-person events -- to educational and research institutions and public and private corporations, including a special key-note invitation for a Semi-Annual Addresses to University of Toronto Risk Lab – an NSERC sponsored organization;

Appearing internationally in PhD theses, and Fortune 500 AI patents and those granted to Ivey League Institutions and Federal Government Agencies,

Efrem has also broke stories with Eamon Javers on MSNBC, Bloomberg, BNN Bloomberg, which were syndicated across world-wide mediate networks and leading digital magazines. ??

Efrem started out in the StormTech space figuring out ways of mitigating catastrophic outcomes – collaborating with a research consortium, including Environment Canada’s Prairie Storm Prediction Center, Info-Magnetic Technologies Corporation, and TR Labs, the Electrical and Computer Engineering research arm of the University of Manitoba, for developing Fault-Tolerant Early-Warning Tornado Alert Systems for safeguarding human life and property from extreme weather events.

With over 300 worldwide citations to Efrem’s work, research frameworks, and patents ( covering 27 systems and process claims -- U.S. Patent #s: 6,035,057; 6,278,799 ),

from many world-class financial and academic institutions, national research labs, tech power houses, and fortune 500 companies,

including, but not limited to:

Avionics and Military Instrumentation (Rockwell Collins, Lockheed Martin Corporation), Atmospheric Weather Agencies, Enterprise Software & Hardware Management firms, including IBM, Microsoft, & Sony; Mobile Communications Operators -- Nokia, as well as Government and Private Think-Tanks, including MIT, the U.S. Department of Energy alliance partner -- Pacific North-West Labs Battelle Institute, and the U.S. Navy. ( Full list can be found in the links above ),

Efrem is continuously expanding the frontier for building and maintaining Running Alpha’s investment strategy infrastructure and expanding the use cases of alternative data pipelines; and

actively collaborating and partnering with a global network of thought-leadership thinktanks and industry-leading research scientists, economists, quants, professional on-and-off-the-floor traders, institutional investors, and FinTech industry veterans, many of whom are Data Science powerhouses.

Ranked Global Top 100 Fintech Influencer in 2022 by Growth Gorilla --

a UK based world leader in comprehensive rankings and go-to-market strategy for global FinTech enterprises; and

Short-listed by Efi Pylarinou, the Visionary of Daily Fintech,

a seasoned Ph.D. Wall Street financial professional and independent Blockchain advisor,

who ranks as No.3 influencer in the finance sector and No.1 woman influencer, by Refinitiv Global Social-Media 2019; where Running Alpha was featured in Daily Fintech publication among the Top 10 Emerging Financial Technology Platform Leaders and Sentiment Fin-Techs in the U.S.,

focusing on "the AI business of “sniffing out” [signals] in digital wealth management, and changing the value proposition of financial analysts and asset managers."

Running Alpha's financial technology solutions have also been:

Nominated in 2016 for the Benzinga ( BZ ) Fintech Awards, (aka, Global Fintech Awards), where Running Alpha placed as a Finding Alpha Finalist, where Benzinga News interviewed Efrem about Running Alpha’s technology innovation, Live and in-person, at a New York Gala event;

Scouted out and vetted by the Founder of Toronto, based Street Contxt Exchange in 2018, hailed as the “Netflix of [Market] Research,” to be among the first 35 independent investment market research intelligence contributors on their global marketplace;

bringing the buy and sell sides of Wall Street and Bay Street closer together than ever before; with client coverage of over 300,000 individuals across 47,000 firms in 153 countries.

Efrem has been privileged to:

establishing many ongoing relationships with world-class giants in the field of real-money trading and investing, innovation thought-leadership, including practitioners, and academics;

who made life-changing contributions to both science and society –

people at the intersection of curiosity and genius, that he thought were interesting and incredible citizens, who were pioneers in their respective disciplines:

asset pricing, economics, game theory, floor trading, artificial intelligence, swarm intelligence, quantum mechanics, predictive and prescriptive analytics, data science, field-programmable logic, fractional calculus;

zero-knowledge proofs, multi-dimensional Visual Decision Support Systems (VDSS) and digital information murals, real-life tornado simulations, atmospheric and climate physics, and space weather forecasting.

Efrem’s thought-leadership insights have been numerously quoted in the international press:

CFA Magazine, NASDAQ news, Huffington Post, Vanity Fair / Hive Magazine, Hamburg News, Bloomberg View, Thompson Reuters / WSJ, CNBC breaking news article by Eamon Javers, CNBC Anchor and Senior White House Correspondent, relating to Presidential Market Factor.

Efrem was short-listed among industry peers, to share his unique expert insights on trading market strategy in a chapter of “Learning the Secrets of Successful Investing,” which became a #1 Best-Selling Amazon Kindle Book in the category of Investing & Commodities –

edited by Larry Jacobs, the 2001 World Cup Trading Championships? Winner for stocks, and founder of TradersWorld, now operated by Halliker’s Inc.; and

has also appeared on Live on-air Business Innovation and Investing Education Interviews and Expert Knowledge Sessions on North American business market intelligence podcasts and radio broadcasts, including:

In-person show(s) in Chicago on Benzinga PreMarket PREP, where, on one of several digital episodes, Efrem shared his market intelligence live on-line from Toronto, Canada on a special morning lineup;

featuring prominent Wall Street financial and economic experts, who independently kicked off the morning broadcast, including: Ron Insana, former CNBC anchor and author of Insana Market Intelligence; Michael Corcelli of Alexander Alternative Capital; and Mohamed El-Erian, Chief Economic Advisor at Allianz;

frequent guest invites on Benzinga PreMarket Prep News and Radio Network, where on live-air he is known for making winning bets with the host on extremely bold, contrarian, and timely market calls on outlier events, right before watershed market extremes, where history has proven out that those on the other side of the trade were overly pessimistic or optimistic; and

Global Industry Events in North America and Geneva, Switzerland, including moderating roundtable discussions on “Innovative Trends in Multi-Factor Investing and Alternative Data Augmentation – Smart-Beta 3.0,” alongside founders and C-suite hedge funds and ETF industry innovation specialists from boutique and big investment banks at Trading Show Chicago 2017,

where Efrem was as an invited keynote seminar speaker on " How to think Differently about Financial Market Trends using Running Alpha’s “Bottom-Down Intelligence?;" also

serving on live in-person expert discussion panels at:

Terrapin’s QuantWorld Canada 2017, moderated by Ernest Chan, adjunct faculty at Northwestern University, Master's in Data Science program on best practices in finance and machine learning; and

Trading Show Chicago 2017, and Toronto-based Hedge Fund Hotel (where, WSJ-Dow Jones Reporter & Columnist, Evelyn Juan interviewed Efrem for a Dow Jones Newswire article [ Portfolio Stress-Testing in Financial Market Hurricanes ]),

on topics ranging from trading on social sentiment trends, to unique machine intelligence and alternative data strategies, with luminaries of finance, including:

a market data specialist from one of the most respected hedge fund trading firms;

a world-leading quant commodity pool operator and trading advisor, who is an influential data science teacher and prolific author of machine learning principles for democratizing access to algorithmic trading strategies.

Featured by Value Inspiration Network,

hosted by Ton Dobbe, a 30-year veteran and globally recognized business strategy and B2B software innovation thought-leader in Spain,

Efrem’s lively podcast exchange on "How Human and Machine Combos Can-Be Used To Avert Financial Tornados,"

captivated and inspired Ton so much, that he not only featured Running Alpha’s competitive edge and Efrem’s educational quotes on risk and innovation, alongside 100 global industry influencers and leading tech-entrepreneurs-on-a-mission,

in his Best-Selling paperback / hard-cover/ and Kindle formatted Digital Business Software Innovation Book – The The Remarkable Effect; but also,

included Efrem’s profile and blurb on the back-cover.

John Rubino, a former Wall Street Star Analyst and featured columnist with TheStreet and prolific author of several books, including The Money Bubble, interviewed Efrem for a feature article in the Chartered Financial Analysts (CFA) Magazine, Volume 27, Issue 3 on Sept. 16th 2016, called "My Favorite Robot."

Here is a portion of the Efrem’s dialogue with John Rubino:

“Two-way transparency will also become increasingly important. “Right now, money managers are judged based on performance relative to target indices. That obscures a lot of important [nuances],” says Hoffman. Next-generation AI, [Running Alpha has developed] “will be able to not only compare fund performance with peers but track the underlying reasons for the performance so it’s more aligned with the [investor].”

The same technologies will offer better insight into exactly who customers are and what they need. “Every new client defines their risk tolerance and other preferences upfront, but that information has a short shelf life and is potentially inaccurate,” says Hoffman. “Most people don’t know what their risk tolerance is. And a [ Portfolio Manager ( PM ) ] managing [over] 400 accounts can’t track their subsequent behavior in response to volatility episodes.”

Consider an imaginary scenario: Two clients both claim moderate risk tolerance, but a sharp market correction elicits a “sell everything” call from one and a “buy the dip” from the other.

Future AIs will be able to track these responses and “put clients with managers who align with their behavior,” says Hoffman, who proposes a new performance metric called “anxiety-adjusted return[s]” to gauge this relationship.”

Efrem has also been recently interviewed by a prominent London-based buy-side Alternative Financial Market Big-Data Vendor with international operations,

for showcasing Running Alpha’s augmented data intelligence services to their premium platform subscribers – including large institutional investment banks, hedge funds and data science thinktanks in the fintech vertical,

who are looking for new sources of data that will be amplifying the alpha-signal strength and extending the shelf-life and reliability of their existing data sources.

With exclusive invitation, Efrem proudly serves as:

Industry Survey Alliance Partner, to ChangeWave Research, a division of 451 Research -- providing time-relevant Insights on current consumer and business Trends impacting the financial community, with a focus on IT and Networking Technology; and

Corporate Research Member to Tactical Rabbit Inc, an elite closed intelligence network offering break-through military intelligence gathering methodologies to ascertain the relevant information so that the right mission-critical business, economic, and social decisions can be made under conditions of extreme and apparent uncertainty; and has been actively engaged as a:

Canadian Research Member to the late Barydyne Traders Group Project; a breakthrough global think-tank, whose mandate is reinventing the future of trading in a live trading lab. The mission there was to contribute valuable insights for promoting the science of prediction to trading.

As a member of this trading group, Efrem actively participated in group decisions with the director to select buy, sell, entry and exit strategies, and was instrumental in helping members reorient their views on time-relevant opportunities for investing in emerging semiconductor megatrends, right near a pivotal point in history in the 2010s, proved prescient.

Efrem also received formal instruction on Professional Real-Time Trading Floor Technologies and Data-Provider Architectures/Configurations, and Multi-Dimensional Visualization and Data-Mining of Real-Time Financial Data – in New York (Waters Corporation) and Toronto (Visible Decisions, Inc.), alongside senior executives of Fortune 500 companies, including some of the world's largest investment banks and software development firms [1997]; and

actively shares his insights on Strategy Development and the Future States of Markets, which include:

frequent trend-pieces, published and accessible to his over 27,600 direct LinkedIn Connections and Followers, and over 2680 subscribers, that joined in the first few weeks after launching his LinkedIn Newsletter: Hoffman Financial Storm Chaser?.

With a strong practical understanding of financial innovation use cases,

Efrem brings a broad-scale practical perspective to making sense of capital market and economic movements, for advancing the science of precision wealth-intelligence;

Founded on a unified framework, of three innovations:

Multi-Valued Computing Logic, Bottom-Down Analytics?, and Crowd-Physics?,

Efrem is opening new ground in levering Quantum Machine Intelligence strategies,

for giving precision insight into international capital and domestic liquidity movements in both publicly listed and dark markets -- off-exchange venues, where market dealers work on behalf of big institutions to mask their order-flow intentions.

Efrem started out at a time when few in the business community were aware of our framework's universal potential in other industries -- over 15 years before it became a buzzword on Wall Street and Main Street.

Although the initial focus was Tornado Prediction from high dimensional radar imagery, which unlike a picture of a car, as seen with a camera, 3D weather-radar reflectivity echoes of wind patterns, and signatures of whirling cloud droplets, colliding and bouncing off each other in the sky, are only abstractions of reality.

His scientific approach was so unconventional and promising that, not only did Efrem receive special recognition by a lead research scientist at the Atmospheric Environment Service (AES) Prairie Storm Prediction Center,

for making significant contributions to StormTech science and transforming the way experts can start thinking about making better sense of hierarchical patterns in just about any unstructured multi-dimensional big data sets ( including financial markets ),

while teasing out, at remarkable speeds ( up to 1000 times faster than conventional AI and more accurately than classical algorithms on a supercomputer ), the salient predictive features at local and global scale,

but the technology innovation use case also played a role in pilot-test studies, and later featured by Braindex, as among the top 250 most fascinating weather radar inventions.

Efrem has an unwavering fascination for bringing the common ground, unique challenges, and bleeding edge solutions he discovered across multiple disciplines to building solutions for observing the collective human perception and behavioral traits and biases that make markets tick; and give rise to sudden outbursts of extreme bullish and bearish activity.

These interactions have humbled Efrem to appreciate the importance of knowing when to start applying and investing in a technology; and of equal relevance, avoiding situations when the underlying assumptions of a technology's function and utility create unacceptable trade-offs that are incompatible with the current and upcoming market environment.

By augmenting the benefits of industry knowledge and human judgement with non-discretionary strategic insights from academia and industry, Efrem has acquired a respect for how the human condition, trying to make sense of the unknown, both interacts and interferes with mathematical modelling.

That’s why Efrem Hoffman's strategies and research frameworks are challenging the fundamental limits of conventional logic for which almost every life and death, career-changing flight or fight, decisions we make, are based on.

So, Efrem's message is clear -- we better be prepared to see outliers, irregularities, and uncertainty for what they really are -- the most persistent windows of opportunity that should be embraced for converting strategy into action inside the World's Thinnest Risk Horizons?.

What really catches Efrem's attention is when the underlying premise of the consensus view, particularly of the market’s collective behavior and expectations, not only diverges wildly from reality, but is founded on a rigid monochromatic belief system and theory, that is not verifiable in the real world.

He especially derives pleasure from assisting investors with making sense of current conditions, and then levering this dynamic knowledge for generating high levels of anxiety-adjusted returns.

To this end, Efrem is delivering insights into what’s not only new,

but also, how his new innovation in investing technology and prescriptive analytics has the power to inspire audiences to innovate at a new level, and transform specific industry and organizations forever.

Through Efrem's close observations of his dynamic market maps, he noticed that there is a “constant pressure, pushing toward patterned structure –

a tendency in matter and belief systems, to evolve into ever more complex and emergent forms;

those elemental properties nature has employed for billions of years, to create rich diversity, including us and the biosphere we live in today.

It's a kind of pattern gravity; a latent energy and driving force in the cosmos, markets, business, and life gives rise to internal behavior of financial market players,

that are spontaneously giving rise to energetic market action, in the absence of both external shocks and financial, monetary, and social stimuli,

much like the self-organizing pattern that you may have seen emerge when a swarm of bees or a flocks of birds interact.

With a mindset bent on exploring the most profitable motifs -- alternative future system states inside the world’s thinnest risk windows,

Efrem, with the aid of Running Alpha’s proprietary Quantum AI-Powered Momentum Perception Maps?, is periodically running

Simulations of what would happen to the mindsets of broad-scale market players ( and their field effect on forward sentiment changes),

when both active market agents in the present and diverse pools of available investors from the future begin dialing up or dialing down the extent to which their momentum biases,

traveling along future strips of time,

are in agreement or disagreement with each other.

Knowledge of these timing windows breaths fresh insight and life-changing foresight into pivotal changes in the Sentiment Jetstream, driving tomorrow’s most powerful asset price actions and alpha opportunities.

These quantum effects that we observe behind the scenes for you on our maps, are revealing the location and time coordinates of market player momentum perceptions ( objects ), from data ( the light ) that has yet to actually touch these market participants, let alone register on their market monitoring instruments.

In other words, no longer does an object ( market player biases ) have to be in the field of view of the camera ( market measurement device ) in order to take a picture.

It’s Like Seeing Things Without Looking At Them.

By unlocking access to special entangled states and market structures, that were previously invisible,

Efrem has built the foundation at Running Alpha for Reverse Engineering What Competing Market Players at Broad-Scope Scale Will Be Observing and Acting on in The Future;

Enabling investors to gain early insights into when market biases are not in a coordinated configuration, thereby, indicating when investors should simply stay away from making new capital allocation decisions,

given that markets in this state, strongly tend to offer fewer meaningful arbitrage opportunities, after risk and reward is factored into the equation.

You now have a choice of being the statistic or making it work for you, before the light ( the data ) that gets collected from the next event becomes the next future touch point, that is used by most market practitioners and risk managers in hindsight, for updating their playbook.

Momentum Perception Maps? gives our founder, Efrem Hoffman,

a springboard for stepping up your game and elevating your edge at better anticipating which catalysts will have the highest potential for disrupting the status quo of crowded trades and turning them into your alpha gain.

What would have normally taken a team of 20 upwards to 100 or more market analyst’s days or weeks to analyze at lower fidelity, a single individual can start using these actionable buy and insights,

systematically derived from Efrem’s Momentum Perception Mapping technology; thereby

singlehandedly completing the task intraday, ahead of critical market events, and doing so, not only emotionally free, but with much higher confidence, fidelity, clarity, and precision;

enabling you to start:

boldly expressing best-in-class bullish or bearish trading and investing ideas in the face of unprecedented uncertainty, with a simple stock buy and sell order,

all without the use of leverage or any kind of complex trade positioning strategy.

With a 360-degree view of global markets, Efrem is now captivating an audience of professional traders, retail investors, and portfolio money managers of all skill levels, with engaging market intelligence and education that is uncovering actionable outlier trend opportunities in uncrowded liquid markets, while positioning for capital defense and profiting from momentum crashes and trading around Chaotic Momentum Crush.

Efrem built Running Alpha from the ground up to ensure the adoption of a Risk-First Culture; laser focused on raising the trader’s capacity for understanding how and when the underlying sources of risk are changing, specifically:

how the risk matrix can be quickly transformed from one regime to the next with just a single changing variable as subtle as the passing of time itself, spontaneously shifting the correlation among the momentum perception biases of broad-scale groups of interacting market players.

This intelligence is of high-value to every trader and investor that is looking to profit from momentum trends, short-squeezes, and violent extreme reversion events, because it is designed for shrinking their time-exposure to risk in all market environments and avoiding Momentum Traps, Negative Gamma Squeezes, and Value Traps.?

Our leading indicators and Momentum Perception Maps render visibility into the Future Sentiment Jet Stream – specifically correlations the marketplace cannot see –

previously unseen connections among market-players and cross-market perspectives of momentum change and sentiment bias that give foresight into sudden and often surprising market swings and broad-scale changes in both trend and capital information flows in Dark and Lit Markets.

This intelligence gives traders the opportunity for:

Homing in on the opposite side of crowded trading markets, inside focused trading windows, where there are: many sources of perceived risk coming from all directions; and few traders and investors have the courage to step into markets that are least travelled, thereby amplifying the inefficiencies we are extracting; and

Shrinking the Time-Lines for:

Catching Falling Knife Markets; and

Profiting from Emergent Outlier Trends and Momentum Crashes.

This intelligence is helping investors fearlessly trade inside market windows that are dominated by emotional trading behavior – including panic-markets that are in freefall, just before high-momentum trends begin spectacular turnaround events that both crushes the prevailing momentum, and seeds new rounds of super-outlier growth – both in magnitude and duration.

Instead of creating flashy dashboards presenting the kitchen sink of rear-view conventional indicators, our focus is on observing leading indicator of change for understanding when you need actionable information, and for making critical decisions that will either lower your risk, and increase your anxiety-adjusted return after inflation.

Running Alpha does this by Elevating Your Capacity For Re-Imagining a Different Future and Capturing Alpha Momentum Outlier Trends and Chaotic Momentum Crush, a special class of Extreme Reversion Events,

Never Experienced Before in Equity and Option Markets.

At Running Alpha, we give you a new window into the future, where:

Every moment in history is really like no other – not just in our time, but every time -- because the decision-makers that create the perceptions of our current conditions are not the same ones who are observing them.

As history expands and the number of potential connections and interactions among market players gets more complex, the variety and magnitude of future outlier growth expands relative to outlier events we have experienced in the past.

By putting the effects of observer interaction and market system complexity of decision-makers back into the trading equation, Running Alpha is helping traders’ profit from future market paths yet travelled; and get ahead of market players that are still fitting their models to rhyme with yesterday.

What sets us apart is that we are levering principles at the intersection of deep physics and finance, including quantum-inspired computing and computational circuit complexity, for quantifying windows of maximum market inefficiency, when the sum of these expanding numbers of globally interacting market system parts –

the non-linear action-reaction feedback chains among market players for a given asset --

will be growing exponentially larger than the effect produced by the individual parts acting locally within the expanding whole.

**From a position of curiosity, we scrutinize …

Inside these windows, where market reaction times to emerging events take longer, Running Alpha is boosting the productivity of traders by:

Amplifying what makes decision-making most productive – telling you when your data assets and trading methods will offer the highest reward and value at the lowest risk points.

In other words, we tell traders and investors when to show up in the trading room, thereby reserving emotional and trading capital for those moments that matter most –

when markets are least efficient at reflecting current events and future expectations.

Running Alpha is providing actionable intelligence for capturing live real-money and high-conviction trading and investing opportunities, flying below the radar, at the most change-making moments, Inside the "World's Thinnest Uncertainty Windows,"

where we can be most confident of market action -- producing the longest and most sustainable outlier trends. runways to growth and earnings price expansion, from our entry prices.

Running Alpha is not simply focusing on Finding Alpha based on the prevailing market structure in lit ( on-exchange ) public markets, but is

opening new ground in revealing market imbalances and predicting super-anomalies and otherwise invisible outlier opportunities,

that arise when Dark-Liquidity Pools ( off-exchange unlisted venues ) interact with lit markets.

Instead of betting on known outcomes of future asset price or news events that cannot be predicted in principle, Running Alpha brings a new level of transparency into the investment analytics equation; capturing the broad-scale momentum perception biases, governing the sum-non-linear observer interactions and action-reaction feedback chains, within and across markets, and in all directions.

Whether you are a stock market wizard or a first-time investor, you can count on Running Alpha’s game-changing insights.

We put high priority in letting you know in plain English when our Alpha Windows of high-impact market activity become active. That is when trading opportunities should be taken very seriously.

Our Trading Windows span from 50 to 95 days, and at times can extend beyond 3 months, upwards to 6 months, given that this is a typical cycle duration of individual sources of risk in the post-crisis era.

Within these intervals, we trade around core positions, by dynamically assessing risk exposure per unit of time, and identifying whether reward-to-risk parameters, still available in an existing core position, has sufficient potential to match up with fresh opportunity candidates of at least equal conviction.

This keeps us agile to changing market conditions, while still keeping our portfolio turnover manageable, regardless of the size of our portfolio, be it concentrated with 3 to 4 positions, or diversified with 12-to-14, 21-to-30, or even 40-to-50+ high-impact opportunities.

We are not tethering our decision-making to historical relationships in price or any other factor;

instead of following the trend directly on the time horizon of interest, we are trading inside narrow time windows when the current market trend is in agreement with the latent market energy stored in the self-organizing inner momentum structure of longer-range market-player connections, that are:

driving the market physics of outlier asset price formation in the order-book, particularly

when human emotions will be disproportionally amplified in the direction of the trend, and prevailing over common sense and reason surrounding the fundamentals or news events.

By analyzing the collective dynamics of financial systems, comprised of many interacting parts and economic agents, especially when facing unusual or emergency situations that have limited or no historical analogs; we are essentially:

working out the sum non-linear behavior, that results when many different types of market participants, with competing preferences, are colliding at different speeds.

Efrem has discovered that when these preferences are placed in a competitive environment, sometimes they can self-generate unique forms of motion.

This new class of "unsupervised" market intelligence, which Running Alpha’s founder coined as Bottom-Down Intelligence? ( BDI ) is exciting for investors, because it offers a new wrinkle into understanding and predicting the behavior and piece-wise chaotic momentum trends in complex systems with many interacting parts .

Likened to the moments when phase transitions are triggered in physical systems, so too there exists special moments, when the spontaneous motion of market actor biases become manifested in future price.

These special types of regime change are known as exceptional points.

[When many disagreeing agents are put together, this creates a constant collective movement, generated by the “frustration” in their competing tendencies.]

It’s unusual because there’s no external force or stressors causing them to change their spin (upside or downside bias).

The rotation of the momentum flow simply comes from the spontaneous field effect created by how the agents are continuously communicating their interactions through acting or in-acting on their perception biases and expectations of the surrounding market environment.”

Understanding momentum-based strategies of this new type for capturing the forward sentiment bias across asset classes, are especially useful in high inflation environments, like we are experiencing today.

The underlying logic is that momentum in consumer prices leads to persistent reactions in both central bank and private investment decision-making, which in turn drives asset price action.

A combination of unexpected and sharp spikes in inflation and/or inflation expectations, cloud cover surrounding the duration and extent of supply-chain disruptions, and export restrictions and protectionist trade policies, give rise to situations,

where emotional reactions to these highly uncertain outcomes can get elevated to such untenable levels for economic capital allocators to reliably manage business expectations and purchasing decisions. Such situations lead to exaggerated momentum movements in asset values.

When asset prices get pushed too far in one direction too quickly and/or over a prolonged period, they can quickly start reverting from an extreme, when investors in the prevailing trend begin unwinding their concentrated bets; thereby sending asset prices moving at an even faster rate in the opposite direction.

Our research intelligence framework and Momentum Perception Map technology, is designed precisely for this task, namely,

telling us when these extreme reversion events are knowable, and in those special time windows when we can see them before they happen,

we alert our premium subscribers of these critical transition price points, which have high potential for triggering the onset of:

Momentum Crashes – when the relative performance of the stronger and weaker assets flip direction, momentum strategies that were working before the transition begin failing ( which is distinct from the notion of a stock market crash, which, we have a remarkable record of seeing before they happen ).

Efrem built mechanisms into the strategy for performing this task unlike any other advanced AI model in existence today –

by uniting the super-exponential power of special quantum entanglement states in complex dynamic systems –

with early insights into the evolving underlying instantaneous and spontaneous network connection structure and interaction effects among financial market agents – and their sentiment perception biases, driving emergent trend changes.

This allows us to deliver our premium subscribers with the highest probability investment and trading signal confirmations inside the World’s Thinnest Risk Windows?, just before a falling knife begins a spectacular reversal.

We do not need to wait for breakouts to confirm our best signals – in fact those who wait for such events are lowering both their risk-adjusted and anxiety-adjusted returns.

To render visibility of the broad-scale interacting momentum rotations that are giving rise to these exceptional points, Running Alpha has developed an inhouse tool, called Momentum Perception Maps? ( MPMs ) –

forward curves overlaid on price charts across future time points, that correspond to asset price levels in the future where market players with different holding periods ( making decisions on different time lines ) will be observing pivotal changes in trend around the zero-point momentum levels.

We scrutinize these momentum flight paths of market players, across the complete scale of trader and investor time-horizons, for seeing a birds-eye view of how momentum perceptions of different market players will be combining in just right combination at the right moments, for: generating the dominant Sentiment Jet Stream; and driving both directional asset price and forward volatility behavior over the specified trading window.

Instead of adding assets blindly to create a diversified portfolio based on correlation matrices or functions of risk and return, that are anchored to past multi-variate relationships, we calibrate forward by combining assets with Sentiment Momentum Jet-Streams that are not only varied in shape and scale, and staggard in the phase of their component momentum term-structures.

This gives us the confidence for constructing portfolios that can respond uniquely, yet beneficially to different news sentiments and risk/return factors; thereby elevating our sentiment factors to a form that is significantly more stable than factors of return or even risk.

We have found that risks of high consequence to portfolios usually resides in a few momentum perception factors -- price, volatility of price, and variance of volatility of price -- that you can count on your finger.

This makes our momentum perception filters superior for:

compressing the dimension of the portfolio “factor zoo,” thereby, reducing the chance that some set of assets are unknowingly taking on an unreasonably dominant or concentrated role; and

uncovering a blind spot in conventional measurement of market momentum, that gets in the way of accurately seeing how over 100 years of modern stock market history shows that we can exploit the false assumption that the “madness of crowds” and “irrational exuberance” are the underlying mechanisms behind buying or selling panics.

Running Alpha has observed that when people are clustered into certain pockets of arrangement, with just the right time delay and sequencing of movement, the toppling effect and compression from crowd turbulence do not occur in the presence of any one or combination of individuals orchestrating the movement, and

cannot be revealed by simply assuming that humans behave as sets of repulsive particles, that tend to move out of the way with increasing momentum when the distribution of their cross-market trading ideas, momentum perceptions, and positioning histories get overcrowded and “too close for comfort,”

but rather are predisposed by the way people and machines are hard-wired to avoid collisions, particularly by anticipating when the velocity and trajectory patterns of neighboring bodies pose a clear and present danger.

In other wards, it is not how close price gets to violating a trend that sparks people into emotionally-charged action, but the perception that the speed of change of an asset’s price is threatening to break trend and set off wild fluctuations in market-wide correlations, at a speed and magnitude that is not yet reflected in future expectations ( implied volatility ).

This is why we do not need to wait for breakouts to confirm our best signals – in fact those who wait for such events are lowering both their risk-adjusted and anxiety-adjusted returns.

To help traders and investors get positioned early with less risk exposure and confusion, we observe Negative Gamma positioning of Market Dealers on Public Exchanges, and identify situations when Dark Pool activity on unlisted venues (off-exchange) is showing large institutional buying, while public markets are diverging with heavy selling pressure.

By combing this extra layer of transparency into dark and lit markets with insights gleaned from our Momentum Perception Maps?, we are not only:

exposing extreme reversion event risk from the perspectives of individual and cross-market volatility, and variance of volatility, before trends change direction, but

we are also revealing the hard lines and state transitions, separating “falling-knife” markets with "dead-cat bounces" from true market capitulation events, that lead to V-bottoms/W-formations and sustainable anti-fragile market recoveries with intermittent square wave price behavior, followed by high price persistence and asymmetric volatility expansions, within longer-term secular trends.

To better address how Running Alpha’s intelligence is especially useful for augmenting Momentum Trading, Macro Momentum Following, and Trend Following, let’s first define what makes these strategies different and similar.

Trend-Following differs from Macro-Momentum Following by positioning based on time series momentum of recent price trends that news-flow, macro-factors, market structure, or fund flows may engender – by going long assets with price appreciation and shorting assets with price depreciation;

instead of strictly positioning based on contrived macro-market sources directly, by going long assets ?with macro-tail winds and short assets with macro head-winds;

whereas Momentum Trading ( aka Cross-Sectional Momentum or Relative Value / Strength Trading ) refers to the momentum of assets relative to each other in a somewhat market neutral versus the opportunistic outlier-return capture setting of trend following, by looking at a cross-sectional view of price momentum performance trends of a single asset class or narrow set of assets with similar characteristics, such as equities and equity index futures --

going long the top tier of performers and going short the bottom tier of underperformers over a specified interval.

The rationale for why Trend-Following consistently produces persistent positive excess returns, on average, is rooted in the tendency of asset prices to systematically underreact to new information and gradually incorporate impactful market or economic news;

leading to persistent trends that can be exploited by going long securities ( from among any deeply liquid and preferably non-correlated asset categories or assets that have lagged correlations ) that have recently appreciated in price and shorting assets that have recently depreciated in price by a specified threshold that is anchored to some pre-specified function of price.

Another big difference between Trend Following and Momentum is that the latter is seeking out assets that are non-correlated ( or have lagged correlations ) relative to each other.

Although history and documented literature shows that when Macro-Momentum Following and Classical Price Trend Following are combined, they have been complimentary during historical periods, when either of the strategies have experienced their largest drawdowns, in our estimation, combing the two strategies as a trend-following overlay is not compatible with the underlying philosophy of capturing true return-generating outliers,

which tend to occur when emotions of traders are divergent with macro-momentum trends, for longer than most traders can remain solvent. By anchoring the risk mitigation to price in trend-following methods, volatility and exposure to risk is bounded, albeit at times quite large, instead of being open-ended, at the left-tail in macro-momentum strategies.

So, for that reason alone, trend following based on pure price is still much more suitable for most traders, who are trying to let profits run wild, without risking financial ruin.

But there are anomalous situations when all three of these strategies breakdown; and that is where Running Alpha’s proprietary market maps are designed for capturing super-anomalies and giving insights for transforming them into outlier profit centers.

The most devastating type are momentum crashes, which happen when prices start gapping dramatically or reversing trend so sharply on a one-way path in reaction to news events; frequently occurring when there is no sign of macro fundamentals turning before price action, which makes them infamous in the trend-following and momentum trading community.

Running Alpha has uncovered a market mechanism that can both:

render visibility of these stealth market aberrations before they happen; and

either amplify or suppress the price reaction to new information, serving as a valuable filter for sensing when trend-following and momentum trading strategies would work best, and when they have the highest potential for underperforming during such market anomalies.

Although traditional old-school trend following approaches uses raw price data from liquid public markets to inform their strategies, they do not account for lots of valuable information about the effects that actions and interactions of different groups of deeply liquid market players, in dark and lit markets, can have on the price formation process in public markets.

Through analyzing the market physics ( action-reaction sequence of buying and selling feedback chains, that get displayed on our inhouse market maps ) of interacting market players, with different momentum perception biases, of each asset individually and relative to each other, across a broad-scale of time horizons,

we can sense and telegraph special market regimes changes:

not only the time and price coordinates of inflection points in convexity ( price sensitivity and non-linear market reaction ) of asset prices to new information ( aka information convexity ) – when they will be increasing or decreasing -- creating a tendency for markets to either overreact when news will be processed more quickly, or react more slowly than even trend-followers would expect on average), but

also, when:

historical correlations within asset classes and across asset classes will be breaking down;

persistent capital flows are likely to be enhanced across different sets of assets; and

movements of specific collections of assets will be diverging with respect to unfolding trends in both idiosyncratic and macro-risk sentiment – “climbing a wall of worry” or “descending a slope of hope.”

By identifying these different market states, Running Alpha is helping trend-followers, relative-value momentum traders, value-investors, and macro-momentum-followers more confidently position boldly into assets with starting positions that are most favorable for amplifying alpha opportunities at the individual asset and portfolio-wide level,

while avoiding intervals of trend-following and macro-momentum underperformance, when large drawdowns from prolonged periods of choppy markets or momentum crashes would otherwise adversely impact anxiety-adjusted and volatility-adjusted portfolio returns.

The Running Alpha Trading Box takes a unique path by utilizing an asymmetric form of trend-following and momentum trading that blends the best properties of both with Running Alpha’s Crowd-Physics Intelligence:

We call it Asymmetric Trend Following: going long/short deeply liquid low-correlation and lagged high-correlation assets in the top tier of favorable/unfavorable information convexity market regimes – meaning those with longer/shorter directional action-reaction feedback echoes of price, that are increasing/decreasing the price-impact shelf-life of news reactions; and disproportionally slowing down/speeding up how quickly directionally favorable/unfavorable news and macro-risk sentiment will be getting processed by an individual asset and across a set of assets relative to each other;

making it more likely for up/down trends to persist for longer, and for price retracements within evolving trends to dissipate more quickly over shorter intervals, relative to what is typically expected by trend-followers, and relative to the available set of current opportunities.

Given that we have observed that the duration, amplitude, and number of feedback connections of the buying and selling echoes are super-linearly related via a multi-fractal power-law function, to the persistence of the autocorrelation of volatility ( aka positive volatility feedback – when volatility feeds on itself and generates more volatility ) within a trend, we monitor these values to provide insight into which assets, within a given interval, will have a tendency for producing:

the biggest and longest, and smallest and shortest price reactions to new information; and

the highest and lowest forward beta’s relative to a benchmark.

These foresights enable trend-followers to better rebalance or adjust position-size based on risk-parity; with the purpose of lowering risk-adjusted return and raising anxiety-adjusted performance.

Moreover, by observing time-series momentum perception biases of trading markets and benchmarks that are proxies for macro-momentum sources and asset-rotation trends; and capturing the underlying market player physics, that is giving rise to trend formation and information convexity from our analysis of their corresponding ratio charts,

we can identify not only when such macro trends will be least sensitive to new information, but also when classical trend-following strategies will be getting a boost during market regimes where such directionally favorable macro-fundamentals will be absorbed more slowly by the market.

Conversely, position-sizing can be reduced when the regime is less favorable or unfavorable for producing persistent trends?in?price.

With these capabilities in hand, Trend-Followers of all types can now mobilize Running Alpha’s insights into the Crowd-Physics of action-reaction feedback chains of broad-scale interacting market-player momentum perception biases of price action, for staying ahead of your competitors in knowing when certain assets will start experiencing both amplified trend persistence and autocorrelation of favorable volatility, through a behavioral mechanism,

that tends to create the sum-non-linear effect of:

amplifying the evolving trend in the presence of new information that is trend-supporting; and

filtering out information that is counter-productive to trend formation and sustainability;

while at the same time gaining from uncertainty, by making the trend more antifragile and less dependent on bucketing incoming positive and negative information into a single category, that does not appropriately account for asymmetry of price impact to news events, under different market structure regimes.

These foresights into asymmetric information convexity regime change are now augmenting trend-following strategies for profiting from these special situations, when many different assets start reversing trend suddenly by surprise –

Specifically, when market participants and dealers, that have crowded trade positioning histories and asymmetric perception biases -- start overreacting to new information in highly convex market states, and especially when smart real-money flows in dark pool liquidity venues also start making their presence felt on lit markets through gamma squeezes, short covering, and follow-through momentum trends. [ the market mechanisms underlying these anomalous market interactions are discussed further in our more detailed product description ]

This not only increasing the potential for consistent excess returns in all market environments and economic settings, but is also elevating the mathematical edge of trend followers, by not only capturing outlier gains, but getting away from binning the markets into a single regime, where assets, on average, spend most of their time reacting slowly to new information. Instead, Running Alpha is expanding the range of focus from not only exploiting outliers in price, but also levering our knowledge of outlier regimes in market information convexity for enabling more agile and precise position-sizing when it matters most at the left-tail;

thereby raising anxiety-adjusted returns and lowering peak-to-trough drawdown and recovery times, which have been some of the perennial challenges of trend-following asset managers, despite its over 135-year documented record of success in a wide range of economic and market regimes, across all major asset categories – from equities/ index futures, Foreign Exchange, Commodity Futures, and Interest Rate and Fixed Income markets.

So, In a nutshell, what makes Running Alpha’s Crowd-Physics Framework unique is that instead of looking strictly at the momentum of an output -- the price, we dig deeper and look at how the momentum of the inputs ( price momentum perceptions of interacting market players that generates price ) can help inform trend-following strategies when to scale-up specific sets of opportunities, based on how “good” and “bad” news gets processed by the market at different rates – aka Asymmetry Information Convexity.

To this end, Running Alpha’s Market Maps are scrutinized inhouse for alerting investors of actionable time-relevant windows for: buying and selling assets; and dialing up or down risk exposure, when the underlying market physics ( broad-scale interactions of market-player momentum perception biases of price ) of network inter-connections among market players and market dealers, create action-reaction feedback chains that are supporting trend formation and price persistence,

even when in the absence of new information -- where the passage of time itself can serve to spontaneously bend perceptions of price trend momentum, non-linearly, across a broad band of market participant?investment horizons.

By observing our inhouse proprietary market maps across a broad range of assets, we are uncovering new avenues for improving the portfolio diversification of trend followers, with higher levels of anxiety-adjusted returns and lower levels of tail-risk, without compromising their absolute return.

We do this by selecting either:

Uniquely shaped Sentiment Jet-Streams of action-reaction feedback chains of buying and selling price action, that is being driven by interactions of different market-player profiles of forward momentum perception biases – corresponding to low or non-correlated assets; or

Similarly Shaped Sentiment Jet Streams that are staggard in time -- correspond to lagged asset correlations.

This gives Running Alpha an edge at helping traders and investors get ahead of 99% of market players, for: previewing changes in market mood well before they are reflected in price action,?uncovering emergent?narratives and the most convenient ways for expressing actionable opportunities that will benefit from the next big transformational changes in both Developed and Emerging Markets, including selected single stock equities and General Market ETFs and Index Factors ETF Instruments, covering:

Exponential Technologies, Digital Communications and Semiconductors, Infrastructure, Manufacturing, Industrial / Commodity Producers, Mobility Logistics and Electrification, Renewable Energy, Agriculture, Timberland, Dividend Kings, Covered Calls, Royalty Streaming Companies, Precious Metals, and Battery Minerals, and specialty chemicals –

Companies and Industries that are Making the World Tick.

If you are looking for a new angle or mathematical edge that lies outside of classical AI; levering quantum-inspired machine unlearning and computing principles and the science of computational circuit complexity for making sense of natural system expansion and contraction, especially during wickedly uncertain times, the Running Alpha Trading Box? is for You.

For immediate access to these actionable market insights and foresights on how you can capture Outlier Trends for boosting your alpha performance in your momentum trading and trend-following strategies,

SUBSCRIBE NOW to our Premium Market Intelligence Channel: Running Alpha Trading Box?

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