When it comes to trading, we’ve all heard the saying, “the house always wins.” Big banks and large institutions often have the upper hand, using advanced algorithms and massive capital to move markets like futures, forex, and stocks. But what if I told you there’s a way to catch onto their moves and use that knowledge to your advantage?
Data mining is a powerful tool that can help retail traders identify patterns in the market that often signal institutional manipulation. Think of it as peeling back the curtain. By analyzing historical trading data, you can pinpoint those moments when the big players step in and start driving the price. These moments often follow predictable patterns—sudden spikes or drops in price, unusual trading volumes, or gaps in liquidity.
Once you’ve identified these signals, the key is timing. Markets tend to move in cycles, and manipulation by large institutions doesn’t happen randomly. By using data mining to track when these manipulations typically occur, it’s possible to project similar events in the future. Patterns in human behavior, especially in finance, often repeat themselves. With the right tools and a solid understanding of historical data, retail traders can potentially catch on to these opportunities before the rest of the market does.
Of course, it’s not foolproof—market conditions can change rapidly. But combining data mining techniques with smart trading strategies can give you an edge in spotting market manipulation and positioning yourself to profit from it. It’s about leveling the playing field, using the same data that the big guys do, but for your own gain.
In the ever-evolving landscape of financial markets, the role of artificial intelligence (AI) has become increasingly prominent, transforming the way day traders and investors approach their strategies. With the advent of advanced machine learning algorithms and predictive analytics, traders now have access to a wealth of data-driven insights, enabling them to make more informed decisions and gain a competitive edge in the market. One such company at the forefront of this revolution is BackToTheFutureTrading, pioneering the use of predictive times to empower traders with actionable intelligence.
Traditionally, day traders and investors relied heavily on technical analysis, fundamental analysis, and market sentiment to guide their trading decisions. While these methods have proven effective to some extent, they are often limited by human biases, emotions, and the inability to process vast amounts of data quickly. This is where AI steps in, offering unparalleled capabilities in data analysis, pattern recognition, and predictive modeling.
At BackToTheFutureTrading, AI algorithms sift through terabytes of historical market data, identifying patterns and trends that are invisible to the human eye. By leveraging sophisticated machine learning techniques, the platform generates predictive times that forecast future market movements with remarkable accuracy. These predictive times serve as invaluable tools for day traders and investors, providing them with precise entry and exit points to maximize profits and minimize risks.
One of the key advantages of AI-powered trading is its ability to adapt to changing market conditions in real-time. Unlike traditional trading strategies that rely on static rules and parameters, AI algorithms continuously learn and evolve based on new data and market dynamics. This dynamic approach allows traders to stay ahead of the curve and capitalize on emerging opportunities before they become apparent to the broader market.
Moreover, AI enables traders to automate their strategies, eliminating the need for manual intervention and emotional decision-making. BackToTheFutureTrading offers a seamless integration with popular trading platforms, allowing traders to execute trades automatically based on the predictive times generated by the AI algorithms. This not only saves time and effort but also minimizes human errors and biases, leading to more consistent and profitable outcomes.
Another significant impact of AI on day trading and investment strategies is its ability to uncover hidden correlations and causal relationships within the market. Through advanced data mining techniques, AI algorithms can identify complex patterns and interdependencies that traditional analysis methods may overlook. This deeper understanding of market dynamics allows traders to make more informed decisions and capitalize on opportunities that others may miss.
In conclusion, the rise of AI is revolutionizing the world of day trading and investing, offering traders unprecedented access to data-driven insights and predictive analytics. Companies like BackToTheFutureTrading are leading the charge, leveraging AI to empower traders with a competitive edge in the market. By harnessing the power of machine learning and predictive times, traders can navigate the complexities of the financial markets with confidence and achieve their investment goals more effectively than ever before.
As a middle-aged American who's witnessed the ebb and flow of economic tides most of my adult life, delving into the predictability of recessions becomes even more intriguing when you consider the historical data. Over the past century, on average, recessions have made their appearance approximately every eight to ten years. It's like a familiar dance – a rhythm that's been playing out in the background of our financial history. The kind of rhythm we see every day with our predictive signals using programs like Tacheon Warp to project where popular futures, forex, stocks, and crypto markets are headed in advance like WD Gann did 150+ years ago.
Picture it: a century's worth of economic ups and downs, each recession separated by this predictable timeframe. It's not just a coincidence; it's a pattern etched into the economic landscape. Economists, armed with data spanning decades, scrutinize various factors – interest rates, consumer spending, global trade dynamics, and government policies – to unravel the complexities of this cyclical phenomenon.
Understanding this historical context provides us with a valuable perspective. It turns out that recessions are not just random storms; there's a certain regularity to their occurrence. It's akin to an economic heartbeat, pulsating every eight to ten years, signaling the inevitable downturn.
Learning from the past becomes crucial in this context. By analyzing previous recessions and deciphering the contributing factors, we gain insights that empower us to prepare for the future. It's not about predicting the exact moment a recession will strike, but rather recognizing the signs and adjusting our financial sails before the economic winds turn turbulent.
So, here we stand, in the midst of a century-long cycle of economic rhythms. As a middle-aged observer who's weathered a few storms, there's a sense of awe in acknowledging this recurring pattern. Recessions may be an unavoidable part of our financial journey, but armed with historical knowledge, we can navigate these cycles with resilience and emerge stronger on the other side.
Interviewer: Good afternoon, Mr. Gann. Thank you for taking the time to speak with us today.
W.D. Gann: It's my pleasure. Thank you for having me. This is a nice change up for me, actually.
Interviewer: How's that?
W.D. Gann: There's no Wall St. in heaven, and I miss the markets a little, to be honest. I like talking about them to other people.
Interviewer: Happy to provide a change of pace for you. Can you tell us a little about your family and how they supported your interest in trading?
W.D. Gann: Certainly. My father was a farmer, but he also had an interest in the markets, and he encouraged me to pursue my own interest in trading. My mother was also very supportive and instilled in me a strong work ethic and determination to succeed.
Interviewer: Mr. Gann, can you tell us what life was like for you as a young boy?
W.D. Gann: Certainly. As I said, I grew up on a farm in Texas, and as a young boy, I was responsible for helping out with the chores and working in the fields. It was a hard life, but it taught me the value of hard work and perseverance. Despite our rural surroundings, my parents placed a high value on education, and they encouraged me to read and learn as much as possible. I spent many hours reading books on a variety of subjects, including science, mathematics, and history. These early experiences had a profound impact on my later life and career.
Interviewer: Mr. Gann, can you tell us what life was like in the town you grew up in?
W.D. Gann: Sure. I grew up in a small town in Texas - Lufkin - and life there was very different from what it is today. It was a close-knit community, and everyone knew each other. People worked hard to make a living, and there was a strong sense of self-reliance and independence. I remember spending many hours working on our family farm and helping out our neighbors. We didn't have many of the conveniences that we take for granted today, such as electricity or indoor plumbing, but we made do with what we had. Despite the challenges, it was a wonderful place to grow up, and I'm grateful for the lessons and values that I learned there.
Interviewer: That's interesting. How did you develop your interest in the markets?
W.D. Gann: I became interested in the markets after working as a telegraph operator for several years. I was fascinated by the fluctuations in market prices and the ways in which various factors could influence those prices. I spent countless hours studying and analyzing market trends, and eventually developed my own unique approach to trading.
Interviewer: Ever take time to settle down and start a family in-between all those books?
W.D. Gann: (laughs) Yes, I actually came out of the library into the sunshine from time to time. Long enough to get married in fact.
Interviewer: Yes, I was going to ask you about that. Can you tell us a little about your wife, Nora?
W.D. Gann: Yes, I married Nora in 1902, and she was a wonderful wife and mother to our six children. Nora was a strong and supportive partner in my work, and she played an important role in my success as a trader. She helped me with my research and analysis, and she encouraged me to continue pursuing my interest in the markets even when times were tough.
Interviewer: Can you tell us more about your children?
W.D. Gann: Certainly. We had four daughters and two sons. My children were a great source of joy and inspiration to me. I encouraged them to pursue their own interests and passions, just as my parents had encouraged me. While none of my children became traders like me, they all went on to successful careers in various fields.
Interviewer: It's wonderful to hear about the support of your family. Can you tell us how they influenced your work as a trader?
W.D. Gann: My family was a constant source of inspiration to me. They encouraged me to pursue my dreams and to never give up, even when things got tough. They also played an active role in my work as a trader. My wife, Nora, was a trusted partner who helped me with my research and analysis. My children were also interested in my work and often asked me questions about the markets. Their support and encouragement helped me to stay focused and motivated throughout my career.
Interviewer: Tell me a little about your siblings. Big family?
W.D. Gann: By your standards, absolutely. I had three brothers, and two sisters, who were quite a handful for my parents. One of my brothers - John - he left the farm and became a successful businessman and actually helped me with my trading career by providing financial support in my early days.
Interviewer: How important was the support from John?
W.D. Gann: It was tremendous - and a huge blessing. During my early days, John's backing allowed me to trade more capital than I could have otherwise, which allowed me to take bigger risks and build my working capital up exponentially faster. John believed in me, and was proud of my accomplishments later as I refined my techniques.
Interviewer: Can you tell us more about your trading strategies?
W.D. Gann: My approach to trading is based on a combination of fundamental and technical analysis. I studied market cycles, price movements, and other factors that can influence the market. I also relied heavily on astrology and numerology to predict future market movements. But it's important to note that I didn't rely on these methods alone. I combined them with rigorous analysis of market data and trends.
Interviewer: You mentioned using astrology and numerology to predict market movements. Can you tell us more about how you used time and vibration in your trading?
W.D. Gann: Yes, time and vibration were key elements of my approach to trading. I believed that everything in the universe, including the markets, followed certain natural cycles and patterns. By understanding these cycles and patterns, I could make more accurate predictions about future market movements. I used various techniques, such as calculating price and time targets based on geometric patterns, to identify these cycles and patterns.
Interviewer: That's fascinating. Can you give us an example of how you used these techniques in a trade?
W.D. Gann: Sure. In one trade, I used a technique known as the "Square of Nine" to calculate price and time targets for a particular market. Based on my analysis, I predicted that the market would reach a certain price level on a specific date. When that date arrived, the market did indeed reach that price level, and I was able to make a significant profit.
Interviewer: Mr. Gann, your trading techniques were quite unique and unconventional for your time. Astrology. Predictions. Geometric patterns. How did people react to them when you first introduced them?
W.D. Gann: Well, when I first began using my techniques, many people were skeptical. They thought that my approach was too complex and esoteric, and they didn't believe that it could produce consistent profits in the markets. However, over time, as I began to share my ideas and techniques with others, more and more people began to see the value in what I was doing. Eventually, I gained a reputation as one of the most successful traders of my time, and my methods became widely respected and imitated.
Even today, many traders continue to study and use my techniques in their own trading. Many still don't believe that time predictions can work though, something I've been observing from up here. It's disheartening.
Interviewer: Meaning?
W.D. Gann: I'm was always fascinated how complicated people made their trading decisions because they didn't believe the markets were predictive. After I was interviewed for the Ticker and Investment Digest - and they reported on my trades - people still didn't believe markets were predictive. Apparently that still holds true today. My friend Richard Wyckoff said that people don't like 'thought and research'...hated it, in fact. I can see how my techniques might intimidate them based on his assessment. It requires a little extra analysis. A leap of faith, if you will.
Interviewer: Interesting. What advice would you give to new traders today?
W.D. Gann: My advice would be to never stop learning. The markets are always changing, and it's important to stay up to date on the latest trends and developments. It's also crucial to develop a solid trading strategy and stick to it, even in the face of adversity. And to study Vibrational law, and the cycles of the markets. It's all based on Nature and Natural Law - which never changes.
Interviewer: Thank you for your time and insights, Mr. Gann. It's been a pleasure speaking with you.
I excute my positions in 1 minute chart and watch the 3 min chart as the Anchor chart. I also use this chart to filter “the noise”, when I see to much signals closer in the 1 minute chart.
The price in the Asian session has its explosion move, so for my morning New York session the price is in range. Buyers are taking profits and reloading again, that’s my mindset for today.
The first possible entry was the puncture technique (“Puncture1”), but its to early for me. The second possible entry was the “puncture2” but I let I go. So, at 8:53 i open the trade with 4 contracts, the stop loss is 1 tick under the price line of the 8:53 signal, and I hold it.
I must confess that I was nervous with the pullback, but my 1,2 ATR stop offset setup gave me the required “room” to let the trade breathe.
Tacheon WARP
I cover my first 2 contracts with 23,75 ticks. At that point I move my stop loss to breakeven point, and the pullback take out my position.
Then this.
The opening bell starts at 8:30, I let the price run, the movement is violent like always and i am aware of the 8:33 signal in the 3 min chart, so my initial bias can be correct. I left a buy limit order near the 120 EMA but the price in the pullback does not reach the order, so I let the price go.
I am over the 120 EMA. Where do I have the next bullish time signal?, at 8:53, so I have to wait until that time.
I have a daily routine in trading. 30 minutes before getting visual contact with my charts. I take my time to meditate with music, in my desktop chair and visualize my entry patterns. Remember that my trading is based on predictive signals, so y anticipates in my mind the Patterns 1 and 2 and the inverted patterns 3 and 4 specifically.
For the E-mini Nasdaq futures market, the price per tick specified by the CME Group is $20 per tick. Always you read my articles, you can find my routine before opening bell as follows:
1. Read my economic calendar.
2. Check the range before the opening bell. Accumulation zone
3. And identify possible range zones y the future. Closer signals in the Warp panel
4. Ready with my ATM of 3 or 4 contracts
5. 3 trades per day
This is my 3minute chart and determine the trend tendency from the Asian session as Bearish. After a big move trend there is always a “pause”; So for today for me I’m waiting before the opening bell, that the Price closes the gap to the 120 EMA, and validate a possible bearish entry.
Trading leading GANN times on the Emini Nasdaq
When the markets open, I wait for a candle that closes under the 120 EMA. My Stop Loss is 1 tick above that candle. At 8:36 that candle appears and I activate the trade. The size of the candle determines $300 of stop loss, that is ok for me and my actual capital...
Leading Predictive Times help guide my trades
Even if I have the 8:37 timestamp signal so closer. In my mind I ignore it. Why?
Because in my 3 minute chart I have enough time space between 8:39 through 8:51. That’s a personal way to reduce the noise, when I found to much closer signals in 1 minute. I can wait for leading predictive times which have more time between them, for longer trades to develop with potentially more profit.
Watch how the times setup perfectly for my trade
The next step is the manage the trade so in the last 1 min chart shown above I have a window between 8:42 and 8:51 so I hold the trade until that time. I alternate visually between the 2 charts. I also trail my stop in the big picture chart using one candle closed behind the active candle price.
Managing the trade
The next move was so hard that closes my trade in profit. I ended my day with 3x my personal daily profit. That is $1.640
Over the course of the last nine years we have been pioneering money and innovative ways to forecast the markets that people are researching and trading using predictive trading Indicators. The majority of that time we have focused intensely on shorter-term trade set ups, where most of the signals fall within a one minute to a 15 minute or even a 60 Minute time frame. However in the last several years we have begin to explore new ways to analyze the market on even higher time frames including daily bars and end of day bar analyses.
In the following tutorial video several different methods and techniques for projecting what the major Futures and Forex markets will do out into the future. This indicator focuses on 4 predictive phases, whose arrival dates are known out into the future. Using the 4 energy phases - we can anticipate which phase of the 4 is about to come next, and study what usually happens at that phase. In this sense, this Ninjatrader indicator (as well as Tradestation indicator) is unique in it's ability to tell us what should or might happen in the future.
We also explore the concept of "exertion" levels at these phases. That is to say, we study how far the market moves on average at each of the past phases when we arrive at them. This can give us some sense of knowing how far to expect a market to move when it eventually does move. We'll usually see 2-3 "groups" of exertion levels, as you'll see in the video. These exertion levels are measured at the dates of the past moves, using the predictive market indicators like the Daily Cycle Marker tool. We demonstrated this technique earlier in our analysis of the 6B, Great British Pound futures instrument.
Finally - we'll focus on the support and resistance network of the market. Time has 2 components - Time, and Price - that make up every one of these time events. We can focus on the purely horizontal support and resistance levels of these markets, predicting where a move is most likely to go. In addition - and perhaps more accurately - we can see what the "hybrid" angle resistance lines are doing - hybrid lines being a dominant angle that represents that market's unique combination of time and price. Each market has a unique angle it follows, and the video will describe how to find those lines, and how to project movements out into the future using those lines.
The markets in our opinion are not random - in the sense that we can apply these types of predictive analyses to them using predictive market indicators. See how the ES analysis this one morning allows the moderator to call the high and the low of the day before the move occurs - and then watch with him and the students what happens an hour after predicting the market movements.
Good morning and thank you for using this website in researching how to trade the pairs or instruments that you're trading. Every so often we come across customers are looking to make investments that last longer than a few minutes or a few hours. These customers can best be described as swing Traders, looking for positions that last anywhere from 3 to 7 days or longer.
We've been developing Ninjatrader indicators now for close to 10 years, and over the course of our development of indicators for people using ninjatrader or tradestation we've come across several tools that have the ability to predict knows that last this duration of time into the future. One such indicator for ninjatrader is the Flux Daily Cycle Markers indicator. Listen to cater is unique, because it tells you days into the future when one of four phases is going to arrive in the market that you're trading. There are four phases in total two of which implied buying pressure in the market two of which imply selling pressure in the market. A paragraph
This particular Ninjatrader indicator is exciting for customers like the one mentioned in this video I'm about to post below because it provides a platform for building a discretion free trading system that is entirely rules-based with stocks that are known ahead of time and target's that are based on times in the future as opposed to fixed targets. Having a time based target, as opposed to a fixed target, in many cases provides a profit that can exceed traditional lagging trail stops, or fixed targets based on platform trail stops like Tradestation, or Ninjatrader indicators.
Watch the video, and then leave comment or email me to understand more about how you can use predictive indicators as opposed to lagging indicators in the future when looking to place longer-term swing trades.
There has been a steady increase in the use of computing power to give the financial institutions an even stronger edge and strangle hold over how markets are traded, and dominated by the one percent of wealth controllers in the world. With regards to how computers and developments like artificial intelligence are affecting how these institutional edges are growing, we have no farther to look than which technologies are being funded by the largest wealth holders.
One of the most advanced trading technology companies was recently pushed on to the world stage, when whistleblower Eric Snowden mentioned a company called "Palantir" in regards to his revelations that US government agencies were leveraging techologies at the bleeding edge to collect metadata on Americans using their phones domestically. A closer look at Palantir however shows us that finance, technology - and governments are becoming increasingly strange bedfellows.
In this article, Forbes talks about Palantir - a mega powerful software package - and who is using it:"
"Well, for starters, one of the world’s largest hedge funds, with also one the most sophisticated quant teams, is an outspoken user of Metropolis - the new name for Palantir Finance....In financial analysis, Palantir Metropolis can provide the big-picture, collaborative structure, which allows sophisticated users to target their advanced quant deep dives more effectively."
The future of trading it seems, is no longer a mastery of technical indicators - the type of revolution we saw in the 90's and early 2000's. Now - it's about who controls the data.
Google - is now making it's global network of connected computer infrastructure available to financial institutions, in part because it has a unique and unparalleled ability to sync it's data around the world - to the same time - using GPS satellites. Listen to how important TIME is to that ability, in this article:
"No one else has ever built a system like this. No one else has taken hold of time in the same way. And now Google is offering this technology to the rest of the world as a cloud computing service.
Google believes this can provide some added leverage in its battle with Microsoft and Amazon for supremacy in the increasingly important cloud computing market, just because Spanner is unique. And some agree. “If they offer it, people will want it, and people will use it,” says Peter Bailis, an assistant professor of computer science at Stanford University who specializes in massively distributed software systems."
They go on to tell us:
"The volume of data—and velocity with which that data is coming at us—is amplifying significantly,” says JDA group vice president John Sarvari.
Spanner could also be useful in the financial markets, allowing big banks to more efficiently track and synchronize trades happening across the planet. And Google says it’s already in talks with large financial institutions about this kind of thing. Traditionally, many banks were wary of handling trades in the cloud for reasons of security and privacy. But those attitudes are softening. A few years ago, Spanner was something only Google needed. Now, Google is banking on change.
It seems traders who are relying on the same paradigm of lagging technical indicators - beholden to the traditional regime of "trading room gurus" have ever increasing competition with an ever dwindling edge pool. Once Google unleashes the power of it's "Spanner" infrastructure - traders who are not using leading data mining indicators like the FLUX system of Ninjatrader indicators will find themselves at a severe disadvantage.