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Day Trading the E-mini Futures
By
TheNegotiator, in E-mini Futures
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By Quantower
The main goal of this thread is to show what Power Trades is and how it works in different markets. We will show some patterns on the ES and NQ futures, as well as discuss possible improvements to this functionality.
What is Power Trades?
Ok, first we will consider what the Power Trades is and how it finds zones.
Power Trades shows the zones with the execution of a large number of orders in a very short time, which will affect the price change with a high probability.
Here are a few examples of how it looks like
How it finds zones?
There is a continuous process of placing, changing and executing orders in the market. All this affects the price change and the expectations of traders regarding the future price.
When a large order appears at a certain level, the price is more likely to come to this order and it will be executed because the market is always looking for levels with liquidity. This already applies to the order flow and the mechanics of orders matching, so we will omit the principles on which the orders are matched.
It is only important to understand that "abnormal events" occur in the market at certain times. Execution of a significant volume of orders in a very short time is one of such events.
The Power Trades Scanner has several important settings that directly affect the results:
Total Volume — the minimum value of the volume that should be traded during the specified time interval
Time Interval, sec — the time over which the Total Volume should be traded
Basis Volume Interval, sec — this parameter shows how much % took the traded volume in the total volume for the specified time.
Zone Height, ticks — this parameter will show only those zones where the height is less than or equal to the specified value (in ticks).
Level2 level count — the number of levels that are involved in the calculation of Imbalance and the Level 2 Ratio column in the table of results.
Filter by Delta,% — the parameter will show zones that have a delta value greater than or equal to that specified in the setting. The value must be specified by the module, so the table will show both positive and negative delta values. We recommend paying attention to the zones with the delta above 50% (taking into account the specifics of each trading instrument).
For example, let's set the Total Volume of 2000 contracts and Time Interval in 3 seconds on the E-mini SP500 futures. This means that the scan will be based on the available history and will show on the chart only those zones that have such a volume for the specified time.
Additionally, it is worth to set a delta value to filter out the zones with one-side trades. The more delta value, the high probability that the price will reverse.
So, as a starting point about this scanner, I think this information will be enough
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By makuchaku
Hi everyone,
This is my maiden analysis using volume profile - so please don't hesitate to share your feedback.
As per the attached analysis, I think that SPY is primed for a short - for many reasons
- Multiple strong rejection of long positions exist at Resistance R1 and R2 : seems like sellers defending their positions
- Very strong short volume seen at R2 : further signifying sellers who are ready at that level
However, once the price reaches Support S1, there seems to be a strong buying sentiment which has rejected previous shorts. You can see trading ranges & pullbacks to S1 where buyers and sellers seem to agree on a price range, often leading to a buyer dominance.
What do you think?
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I'm pretty sure that a Russian resident would say that recessions are real today. Their prime interest rate is 21%, their corporate military contractors are threatening to file bankruptcy, and sticks of butter are kept under lock and key in their grocery stores because shoplifters are stealing it in bulk so they can resell it on the black market. A downturn is cyclical until it turns into a collapse. I really don't think anyone will be buying-into this mess.😬 -
Well said. This principle is highly analogous to trading. Any human can easily click buy or sell when they "feel" that price is about to go up or down. The problem with feeling, commonly referred to as "instinctive" trading, is that it cannot be quantified. And because it cannot be quantified, it cannot be empirically tested. Instinctive trading has the lowest barrier to entry and therefore returns the lowest reward. As this is true for most things in life, this comes as no surprise. Unfortunately, the lowest barrier to entry is attractive to new traders for obvious reasons. This actually applied to me decades ago.🤭 It's only human nature to seek the highest amount of reward in exchange for the lowest amount of work. In fact, I often say that there is massive gray area between efficiency and laziness. Fortunately, losing for a living inspired me to investigate the work of Wall Street quants who refer to us as "fishfood" or "cannonfodder." Although I knew that we as retail traders cannot exploit execution rebates or queues like quants do, I learned that we can engage in automated scalp, swing, and trend trading. The thermonuclear caveat here, is that I had no idea how to write code (or program) trading algorithms. So I gravitated toward interface-based algorithm builders that required no coding knowledge (see human nature, aforementioned). In retrospect, I should never have traded code written by builder software because it's buggy and inefficient. However, my paid subscription to the builder software allowed me to view the underlying source code of the generated trading algo--which was written in MQL language. Due to a lack of customization in the builder software, I inevitably found myself editing the code. This led me to coding research which, in turn, led me to abandoning the builder software and coding custom algo's from scratch. Fast forward to the present, I can now code several trading strategies per day across 2 different platforms. Considering how inefficient manual backtesting is, coding is a huge advantage. When a new trading concept hits me, I can write the algo, backtest it, and optimize it within an hour or so--across multiple exchanges and symbols, and cycle through hundreds of different settings for each input. And then I get pages upon pages of performance metrics with the best settings pre-highlighted. Having said all of this, I am by no means an advanced programmer. IMHO, advanced programmers write API gateways, construct their own custom trading platforms, use high end computers with field programmable gateway array chips, and set up shop in close proximity to the exchanges. In any event, a considerable amount of work is required just to get toward the top of the "fishfood"/"cannonfodder" pool. Another advantage of coding is that it forces me to write trade entry and exit conditions (triggers) in black & white, thereby causing me to think microscopically about my precise trade trigger conditions. For example, I have to decide whether the algo should track the slope, angle, and level of each bar price and indicator to be used. Typing a hard number like 50 degrees of angle into code is a lot different than merely looking at a chart myself and saying, that's close enough. Code doesn't acknowledge "maybe" nor "feelings." Either the math (code) works (is profitable) or doesn't work (is a loser). It doesn't get angry, sad, nor overly optimistic. And it can trade virtually 24 hours per day, 5 days per week. If you learn to code, you'll eventually reach a point where coding an algo that trades as you intended provides its own sense of accomplishment. Soon after, making money in the market merely becomes a side effect of your new job--coding. This is how I compete, at least for now, in this wide world of trading. I highly recommend it.
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MU Micron stock watch, pull back to 102.83 gap support area with high trade quality at https://stockconsultant.com/?MU -
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ACLX Arcellx stock watch, trending at 84.6 support area with bullish indicators at https://stockconsultant.com/?ACLX
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