Best Forex Backtesting Software for 2020 - Admiral Markets

Former investment bank FX trader: Risk management part II

Former investment bank FX trader: Risk management part II
Firstly, thanks for the overwhelming comments and feedback. Genuinely really appreciated. I am pleased 500+ of you find it useful.
If you didn't read the first post you can do so here: risk management part I. You'll need to do so in order to make sense of the topic.
As ever please comment/reply below with questions or feedback and I'll do my best to get back to you.
Part II
  • Letting stops breathe
  • When to change a stop
  • Entering and exiting winning positions
  • Risk:reward ratios
  • Risk-adjusted returns

Letting stops breathe

We talked earlier about giving a position enough room to breathe so it is not stopped out in day-to-day noise.
Let’s consider the chart below and imagine you had a trailing stop. It would be super painful to miss out on the wider move just because you left a stop that was too tight.

Imagine being long and stopped out on a meaningless retracement ... ouch!
One simple technique is simply to look at your chosen chart - let’s say daily bars. And then look at previous trends and use the measuring tool. Those generally look something like this and then you just click and drag to measure.
For example if we wanted to bet on a downtrend on the chart above we might look at the biggest retracement on the previous uptrend. That max drawdown was about 100 pips or just under 1%. So you’d want your stop to be able to withstand at least that.
If market conditions have changed - for example if CVIX has risen - and daily ranges are now higher you should incorporate that. If you know a big event is coming up you might think about that, too. The human brain is a remarkable tool and the power of the eye-ball method is not to be dismissed. This is how most discretionary traders do it.
There are also more analytical approaches.
Some look at the Average True Range (ATR). This attempts to capture the volatility of a pair, typically averaged over a number of sessions. It looks at three separate measures and takes the largest reading. Think of this as a moving average of how much a pair moves.
For example, below shows the daily move in EURUSD was around 60 pips before spiking to 140 pips in March. Conditions were clearly far more volatile in March. Accordingly, you would need to leave your stop further away in March and take a correspondingly smaller position size.

ATR is available on pretty much all charting systems
Professional traders tend to use standard deviation as a measure of volatility instead of ATR. There are advantages and disadvantages to both. Averages are useful but can be misleading when regimes switch (see above chart).
Once you have chosen a measure of volatility, stop distance can then be back-tested and optimised. For example does 2x ATR work best or 5x ATR for a given style and time horizon?
Discretionary traders may still eye-ball the ATR or standard deviation to get a feeling for how it has changed over time and what ‘normal’ feels like for a chosen study period - daily, weekly, monthly etc.

Reasons to change a stop

As a general rule you should be disciplined and not change your stops. Remember - losers average losers. This is really hard at first and we’re going to look at that in more detail later.
There are some good reasons to modify stops but they are rare.
One reason is if another risk management process demands you stop trading and close positions. We’ll look at this later. In that case just close out your positions at market and take the loss/gains as they are.
Another is event risk. If you have some big upcoming data like Non Farm Payrolls that you know can move the market +/- 150 pips and you have no edge going into the release then many traders will take off or scale down their positions. They’ll go back into the positions when the data is out and the market has quietened down after fifteen minutes or so. This is a matter of some debate - many traders consider it a coin toss and argue you win some and lose some and it all averages out.
Trailing stops can also be used to ‘lock in’ profits. We looked at those before. As the trade moves in your favour (say up if you are long) the stop loss ratchets with it. This means you may well end up ‘stopping out’ at a profit - as per the below example.

The mighty trailing stop loss order
It is perfectly reasonable to have your stop loss move in the direction of PNL. This is not exposing you to more risk than you originally were comfortable with. It is taking less and less risk as the trade moves in your favour. Trend-followers in particular love trailing stops.
One final question traders ask is what they should do if they get stopped out but still like the trade. Should they try the same trade again a day later for the same reasons? Nope. Look for a different trade rather than getting emotionally wed to the original idea.
Let’s say a particular stock looked cheap based on valuation metrics yesterday, you bought, it went down and you got stopped out. Well, it is going to look even better on those same metrics today. Maybe the market just doesn’t respect value at the moment and is driven by momentum. Wait it out.
Otherwise, why even have a stop in the first place?

Entering and exiting winning positions

Take profits are the opposite of stop losses. They are also resting orders, left with the broker, to automatically close your position if it reaches a certain price.
Imagine I’m long EURUSD at 1.1250. If it hits a previous high of 1.1400 (150 pips higher) I will leave a sell order to take profit and close the position.
The rookie mistake on take profits is to take profit too early. One should start from the assumption that you will win on no more than half of your trades. Therefore you will need to ensure that you win more on the ones that work than you lose on those that don’t.

Sad to say but incredibly common: retail traders often take profits way too early
This is going to be the exact opposite of what your emotions want you to do. We are going to look at that in the Psychology of Trading chapter.
Remember: let winners run. Just like stops you need to know in advance the level where you will close out at a profit. Then let the trade happen. Don’t override yourself and let emotions force you to take a small profit. A classic mistake to avoid.
The trader puts on a trade and it almost stops out before rebounding. As soon as it is slightly in the money they spook and cut out, instead of letting it run to their original take profit. Do not do this.

Entering positions with limit orders

That covers exiting a position but how about getting into one?
Take profits can also be left speculatively to enter a position. Sometimes referred to as “bids” (buy orders) or “offers” (sell orders). Imagine the price is 1.1250 and the recent low is 1.1205.
You might wish to leave a bid around 1.2010 to enter a long position, if the market reaches that price. This way you don’t need to sit at the computer and wait.
Again, typically traders will use tech analysis to identify attractive levels. Again - other traders will cluster with your orders. Just like the stop loss we need to bake that in.
So this time if we know everyone is going to buy around the recent low of 1.1205 we might leave the take profit bit a little bit above there at 1.1210 to ensure it gets done. Sure it costs 5 more pips but how mad would you be if the low was 1.1207 and then it rallied a hundred points and you didn’t have the trade on?!
There are two more methods that traders often use for entering a position.
Scaling in is one such technique. Let’s imagine that you think we are in a long-term bulltrend for AUDUSD but experiencing a brief retracement. You want to take a total position of 500,000 AUD and don’t have a strong view on the current price action.
You might therefore leave a series of five bids of 100,000. As the price moves lower each one gets hit. The nice thing about scaling in is it reduces pressure on you to pick the perfect level. Of course the risk is that not all your orders get hit before the price moves higher and you have to trade at-market.
Pyramiding is the second technique. Pyramiding is for take profits what a trailing stop loss is to regular stops. It is especially common for momentum traders.

Pyramiding into a position means buying more as it goes in your favour
Again let’s imagine we’re bullish AUDUSD and want to take a position of 500,000 AUD.
Here we add 100,000 when our first signal is reached. Then we add subsequent clips of 100,000 when the trade moves in our favour. We are waiting for confirmation that the move is correct.
Obviously this is quite nice as we humans love trading when it goes in our direction. However, the drawback is obvious: we haven’t had the full amount of risk on from the start of the trend.
You can see the attractions and drawbacks of both approaches. It is best to experiment and choose techniques that work for your own personal psychology as these will be the easiest for you to stick with and build a disciplined process around.

Risk:reward and win ratios

Be extremely skeptical of people who claim to win on 80% of trades. Most traders will win on roughly 50% of trades and lose on 50% of trades. This is why risk management is so important!
Once you start keeping a trading journal you’ll be able to see how the win/loss ratio looks for you. Until then, assume you’re typical and that every other trade will lose money.
If that is the case then you need to be sure you make more on the wins than you lose on the losses. You can see the effect of this below.

A combination of win % and risk:reward ratio determine if you are profitable
A typical rule of thumb is that a ratio of 1:3 works well for most traders.
That is, if you are prepared to risk 100 pips on your stop you should be setting a take profit at a level that would return you 300 pips.
One needn’t be religious about these numbers - 11 pips and 28 pips would be perfectly fine - but they are a guideline.
Again - you should still use technical analysis to find meaningful chart levels for both the stop and take profit. Don’t just blindly take your stop distance and do 3x the pips on the other side as your take profit. Use the ratio to set approximate targets and then look for a relevant resistance or support level in that kind of region.

Risk-adjusted returns

Not all returns are equal. Suppose you are examining the track record of two traders. Now, both have produced a return of 14% over the year. Not bad!
The first trader, however, made hundreds of small bets throughout the year and his cumulative PNL looked like the left image below.
The second trader made just one bet — he sold CADJPY at the start of the year — and his PNL looked like the right image below with lots of large drawdowns and volatility.
Would you rather have the first trading record or the second?
If you were investing money and betting on who would do well next year which would you choose? Of course all sensible people would choose the first trader. Yet if you look only at returns one cannot distinguish between the two. Both are up 14% at that point in time. This is where the Sharpe ratio helps .
A high Sharpe ratio indicates that a portfolio has better risk-adjusted performance. One cannot sensibly compare returns without considering the risk taken to earn that return.
If I can earn 80% of the return of another investor at only 50% of the risk then a rational investor should simply leverage me at 2x and enjoy 160% of the return at the same level of risk.
This is very important in the context of Execution Advisor algorithms (EAs) that are popular in the retail community. You must evaluate historic performance by its risk-adjusted return — not just the nominal return. Incidentally look at the Sharpe ratio of ones that have been live for a year or more ...
Otherwise an EA developer could produce two EAs: the first simply buys at 1000:1 leverage on January 1st ; and the second sells in the same manner. At the end of the year, one of them will be discarded and the other will look incredible. Its risk-adjusted return, however, would be abysmal and the odds of repeated success are similarly poor.

Sharpe ratio

The Sharpe ratio works like this:
  • It takes the average returns of your strategy;
  • It deducts from these the risk-free rate of return i.e. the rate anyone could have got by investing in US government bonds with very little risk;
  • It then divides this total return by its own volatility - the more smooth the return the higher and better the Sharpe, the more volatile the lower and worse the Sharpe.
For example, say the return last year was 15% with a volatility of 10% and US bonds are trading at 2%. That gives (15-2)/10 or a Sharpe ratio of 1.3. As a rule of thumb a Sharpe ratio of above 0.5 would be considered decent for a discretionary retail trader. Above 1 is excellent.
You don’t really need to know how to calculate Sharpe ratios. Good trading software will do this for you. It will either be available in the system by default or you can add a plug-in.

VAR

VAR is another useful measure to help with drawdowns. It stands for Value at Risk. Normally people will use 99% VAR (conservative) or 95% VAR (aggressive). Let’s say you’re long EURUSD and using 95% VAR. The system will look at the historic movement of EURUSD. It might spit out a number of -1.2%.

A 5% VAR of -1.2% tells you you should expect to lose 1.2% on 5% of days, whilst 95% of days should be better than that
This means it is expected that on 5 days out of 100 (hence the 95%) the portfolio will lose 1.2% or more. This can help you manage your capital by taking appropriately sized positions. Typically you would look at VAR across your portfolio of trades rather than trade by trade.
Sharpe ratios and VAR don’t give you the whole picture, though. Legendary fund manager, Howard Marks of Oaktree, notes that, while tools like VAR and Sharpe ratios are helpful and absolutely necessary, the best investors will also overlay their own judgment.
Investors can calculate risk metrics like VaR and Sharpe ratios (we use them at Oaktree; they’re the best tools we have), but they shouldn’t put too much faith in them. The bottom line for me is that risk management should be the responsibility of every participant in the investment process, applying experience, judgment and knowledge of the underlying investments.Howard Marks of Oaktree Capital
What he’s saying is don’t misplace your common sense. Do use these tools as they are helpful. However, you cannot fully rely on them. Both assume a normal distribution of returns. Whereas in real life you get “black swans” - events that should supposedly happen only once every thousand years but which actually seem to happen fairly often.
These outlier events are often referred to as “tail risk”. Don’t make the mistake of saying “well, the model said…” - overlay what the model is telling you with your own common sense and good judgment.

Coming up in part III

Available here
Squeezes and other risks
Market positioning
Bet correlation
Crap trades, timeouts and monthly limits

***
Disclaimer:This content is not investment advice and you should not place any reliance on it. The views expressed are the author's own and should not be attributed to any other person, including their employer.
submitted by getmrmarket to Forex [link] [comments]

When will we bottom out?

PART 2 : https://www.reddit.com/wallstreetbets/comments/g0sd44/what_is_the_bottom/
PART 3: https://www.reddit.com/wallstreetbets/comments/g2enz2/why_the_printer_must_continue/
Edit: By popular demand, the too long didn't read is now at the top
TL;DR
SPY 220p 11/20
This will likely be a multi-part series. It should be noted that I am no expert by any means, I'm actually quite new to this, it is just an elementary analysis of patterns in price and time. I am not a financial advisor, and this is not advice for a person to enter trades upon.
The fundamental divide in trading revolves around the question of market structure. Many feel that the market operates totally randomly and its’ behavior cannot be predicted. For the purposes of this DD, we will assume that the market has a structure, but that that structure is not perfect. That market structure naturally generates chart patterns as the market records prices in time. We will analyze an instrument, an exchange traded fund, which represents an index, as opposed to a particular stock. The price patterns of the various stocks in an index are effectively smoothed out. In doing so, a more technical picture arises. Perhaps the most popular of these is the SPDR S&P Standard and Poor 500 Exchange Traded Fund ($SPY).
In trading, little to no concern is given about value of underlying asset. We concerned primarily about liquidity and trading ranges, which are the amount of value fluctuating on a short-term basis, as measured by volatility-implied trading ranges. Fundamental analysis plays a role, however markets often do not react to real-world factors in a logical fashion. Therefore, fundamental analysis is more appropriate for long-term investing.
The fundamental derivatives of a chart are time (x-axis) and price (y-axis). The primary technical indicator is price, as everything else is lagging in the past. Price represents current asking price and incorrectly implementing positions based on price is one of the biggest trading errors.
Markets ordinarily have noise, their tendency to back-and-fill, which must be filtered out for true pattern recognition. That noise does have a utility, however, in allowing traders second chances to enter favorable positions at slightly less favorable entry points. When you have any market with enough liquidity for historical data to record a pattern, then a structure can be divined. The market probes prices as part of an ongoing price-discovery process. Market technicians must sometimes look outside of the technical realm and use visual inspection to ascertain the relevance of certain patterns, using a qualitative eye that recognizes the underlying quantitative nature
Markets rise slower than they correct, however they rise much more than they fall. In the same vein, instruments can only fall to having no worth, whereas they could theoretically grow infinitely and have continued to grow over time. Money in a fiat system is illusory. It is a fundamentally synthetic instrument which has no intrinsic value. Hence, the recent seemingly illogical fluctuations in the market.
According to trade theory, the unending purpose of a market is to create and break price ranges according to the laws of supply and demand. We must determine when to trade based on each market inflection point as defined in price and in time as opposed to abandoning the trend (as the contrarian trading in this sub often does). Time and Price symmetry must be used to be in accordance with the trend. When coupled with a favorable risk to reward ratio, the ability to stay in the market for most of the defined time period, and adherence to risk management rules; the trader has a solid methodology for achieving considerable gains.
We will engage in a longer term market-oriented analysis to avoid any time-focused pressure. The market is technically open 24-hours a day, so trading may be done when the individual is ready, without any pressing need to be constantly alert. Let alone, we can safely project months in advance with relatively high accuracy.
Some important terms to keep in mind:
§ Discrete – terminal points at the extremes of ranges
§ Secondary Discrete – quantified retracement or correction between two discrete
§ Longs (asset appreciation) and shorts (asset depreciation)
- Technical indicators are often considered self-fulfilling prophecies due to mass-market psychology gravitating towards certain common numbers yielded from them. That means a trader must be especially aware of these numbers as they can prognosticate market movements. Often, they are meaningless in the larger picture of things.
§ Volume – derived from the market itself, it is mostly irrelevant. The major problem with volume is that the US market open causes tremendous volume surges eradicating any intrinsic volume analysis. At major highs and lows, the market is typically anemic. Most traders are not active at terminal discretes because of levels of fear. Allows us confidence in time and price symmetry market inflection points, if we observe low volume at a foretold range of values. We can rationalize that an absolute discrete is usually only discovered and anticipated by very few traders. As the general market realizes it, a herd mentality will push the market in the direction favorable to defending it. Volume is also useful for swing trading, as chances for swing’s validity increases if an increase in volume is seen on and after the swing’s activation.
Therefore, due to the relatively high volume on the 23rd of March, we can safely determine that a low WAS NOT reached.
§ VIX – Volatility Index, this technical indicator indicates level of fear by the amount of options-based “insurance” in portfolios. A low VIX environment, less than 20 for the S&P index, indicates a stable market with a possible uptrend. A high VIX, over 20, indicates a possible downtrend. However, it is equally important to see how VIX is changing over time, if it is decreasing or increasing, as that indicates increasing or decreasing fear. Low volatility allows high leverage without risk or rest. Occasionally, markets do rise with high VIX.
As VIX is unusually high, in the forties, we can be confident that a downtrend is imminent.
– Trend definition is highly powerful, cannot be understated. Knowledge of trend logic is enough to be a profitable trader, yet defining a trend is an arduous process. Multiple trends coexist across multiple time frames and across multiple market sectors. Like time structure, it makes the underlying price of the instrument irrelevant. Trend definitions cannot determine the validity of newly formed discretes. Trend becomes apparent when trades based in counter-trend inflection points continue to fail.
Downtrends are defined as an instrument making lower lows and lower highs that are recurrent, additive, qualified swing setups. Downtrends for all instruments are similar, except forex. They are fast and complete much quicker than uptrends. An average downtrend is 18 months, something which we will return to. An uptrend inception occurs when an instrument reaches a point where it fails to make a new low, then that low will be tested. After that, the instrument will either have a deep range retracement or it may take out the low slightly, resulting in a double-bottom. A swing must eventually form.
A simple way to roughly determine trend is to attempt to draw a line from three tops going upwards (uptrend) or a line from three bottoms going downwards (downtrend). It is not possible to correctly draw an uptrend line on the SPY chart, but it is possible to correctly draw a downtrend – indicating that the overall trend is downwards.
Now that we have determined that the overall trend is downwards, the next issue is the question of when SPY will bottom out.
Time is the movement from the past through the present into the future. It is a measurement in quantified intervals. In many ways, our perception of it is a human construct. It is more powerful than price as time may be utilized for a trade regardless of the market inflection point’s price. Were it possible to perfectly understand time, price would be totally irrelevant due to the predictive certainty time affords. Time structure is easier to learn than price, but much more difficult to apply with any accuracy. It is the hardest aspect of trading to learn, but also the most rewarding.
Humans do not have the ability to recognize every time window, however the ability to define market inflection points in terms of time is the single most powerful trading edge. Regardless, price should not be abandoned for time alone. Time structure analysis It is inherently flawed, as such the markets have a fail-safe, which is Price Structure. Even though Time is much more powerful, Price Structure should never be completely ignored. Time is the qualifier for Price and vice versa. Time can fail by tricking traders into counter-trend trading.
Time is a predestined trade quantifier, a filter to slow trades down, as it allows a trader to specifically focus on specific time windows and rest at others. It allows for quantitative measurements to reach deterministic values and is the primary qualifier for trends. Time structure should be utilized before price structure, and it is the primary trade criterion which requires support from price. We can see price structure on a chart, as areas of mathematical support or resistance, but we cannot see time structure.
Time may be used to tell us an exact point in the future where the market will inflect, after Price Theory has been fulfilled. In the present, price objectives based on price theory added to possible future times for market inflection points give us the exact time of market inflection points and price.
Time Structure is repetitions of time or inherent cycles of time, occurring in a methodical way to provide time windows which may be utilized for inflection points. They are not easily recognized and not easily defined by a price chart as measuring and observing time is very exact. Time structure is not a science, yet it does require precise measurements. Nothing is certain or definite. The critical question must be if a particular approach to time structure is currently lucrative or not.
We will complete our analysis of time by measuring it in intervals of 180 bars. Our goal is to determine time windows, when the market will react and when we should pay the most attention. By using time repetitions, the fact that market inflection points occurred at some point in the past and should, therefore, reoccur at some point in the future, we should obtain confidence as to when SPY will reach a market inflection point. Time repetitions are essentially the market’s memory. However, simply measuring the time between two points then trying to extrapolate into the future does not work. Measuring time is not the same as defining time repetitions. We will evaluate past sessions for market inflection points, whether discretes, qualified swings, or intra-range. Then records the times that the market has made highs or lows in a comparable time period to the future one seeks to trade in.
What follows is a time Histogram – A grouping of times which appear close together, then segregated based on that closeness. Time is aligned into combined histogram of repetitions and cycles, however cycles are irrelevant on a daily basis. If trading on an hourly basis, do not use hours.
Yearly Lows: 12/31/2000, 9/21/2001, 10/9/2002, 3/11/2003, 8/2/2004, 4/15/2005, 6/12/2006, 3/5/2007, 11/17/2008, 3/9/2009, 7/2/10, 10/3/11, 1/1/12, 1/1/13, 2/3/14, 9/28/15, 2/8/16, 1/3/17, 12/24/18, 6/3/19
Months: 1, 1, 1, 2, 2, 3, 3, 3, 4, 6, 6, 7, 8, 9, 9, 10, 10, 11, 12, 12
Days: 1, 1, 2, 2, 3, 3, 3, 3, 5, 8, 9, 9, 11, 12, 15, 17, 21, 24, 28, 31
Monthly Lows: 3/23, 2/28, 1/27, 12/3, 11/1, 10/2, 9/3, 8/5, 7/1, 6/3, 5/31, 4/1
Days: 1, 1, 1, 2, 3, 3, 3, 5, 23, 27, 27, 31
Weighted Times are repetitions which appears multiple times within the same list, observed and accentuated once divided into relevant sections of the histogram. They are important in the presently defined trading time period and are similar to a mathematical mode with respect to a series. Phased times are essentially periodical patterns in histograms, though they do not guarantee inflection points*.*
We see that SPY tends to have its lows between three major month clusters: 1-4, primarily March (which has actually occurred already this year), 6-9, averaged out to July, and 10-12, averaged out to November. Following the same methodology, we get the third and tenth days of the month as the likeliest days. However, evaluating the monthly lows for the past year, the end of the month has replaced the average of the tenth. Therefore, we have four primary dates for our histogram.
7/3/20, 7/27/20, and 11/3/20, 11/27/20 .
How do we narrow this group down with any accuracy? Let us average the days together to work with two dates - 7/15/20 and 11/15/20.
The 8.6-Year Armstrong-Princeton Global Economic Confidence model – states that 2.15 year intervals occur between corrections, relevant highs and lows. 2.15 years from the all-time peak discrete is April 14th of 2022. However, we can time-shift to other peaks and troughs to determine a date for this year. If we consider 1/28/2018 as a localized high and apply this model, we get 3/23/20 as a low - strikingly accurate. I have chosen the next localized high, 9/21/2018 to apply the model to. We achieve a date of 11/14/2020.
The average bear market is eighteen months long, giving us a date of August 19th, 2021 for the end of the bear market - roughly speaking.
Therefore, our timeline looks like:
As we move forward in time, our predictions may be less accurate. It is important to keep in mind that this analysis will likely change and become more accurate as we factor in Terry Laundry’s T-Theory, the Bradley Cycle, a more sophisticated analysis of Bull and Bear Market Cycles, the Fundamental Investor Cyclic Approach, and Seasons and Half-Seasons.
I have also assumed that the audience believes in these models, which is not necessary. Anyone with free time may construct histograms and view these time models, determining for themselves what is accurate and what is not. Take a look at 1/28/2008, that localized high, and 2.15 years (1/4th of the sinusoidal wave of the model) later.
The question now is, what prices will SPY reach on 11/14? Where will we be at 7/28? What will happen on 4/14/22?
submitted by aibnsamin1 to wallstreetbets [link] [comments]

Swing trading the dailies

Hey everyone! New to the subreddit, I've been lurking for a couple of weeks and picking up some good stuff, so thank you all for your contributions.
A little background on me. I've been trading on and off for over 20 years. Made and lost several hundred thousand dollars while trading futures and equity options. I've never really gotten into forex before other than to do a little research and testing. I personally don't like to take pure directional bets so with futures I traded spreads and with options I was a premium seller.
But I'm giving it a try now and my first month (January) I'm up 6% on my demo account. So I thought I'd start a fresh account for February and share how things go. I've set up a myfxbook too if you're interested. If things go well I'll probably go live in March or April with a small account.
As indicated in the title I'm swing trading the daily charts, mostly holding trades for a few days although backtesting there are multi-week trends that I may have caught too, although I put much stock in backtesting.
For trade entries I keep things very simple with just Support/Resistance and using Heikin Ashi to identify strength or weakness. I'll then check IG and Oanda open positions to confirm I'm taking a position opposite most retail traders.
For TP I'm experimenting with multiples of ATR to take up to 2/3's off and allowing the remainder to ride with a trailing stop.
For initial SL I've been using the high/low of the previous bar but I'm also experimenting with ATR there too since I've noticed that my trades tend to either go quickly right or quickly wrong and when they go wrong they don't come back and when they go right they don't retrace back to entry, so a tighter SL may be wise.
Finally, I'm risking 1% of my account per trade.
Tomorrow I'll post the pairs that I'll be looking to get into Monday.
I think that's about it. If you have any questions or suggestions please feel free!
submitted by IndustrialFX to Forex [link] [comments]

So you wanna trade Forex? - tips and tricks inside

Let me just sum some stuff up for you newbies out there. Ive been trading for years, last couple of years more seriously and i turned my strategies into algorithms and i am currently up to 18 algorithms thats trading for me 24/7. Ive learned alot, listened to hundreds of podcasts and read tons of books + research papers and heres some tips and tricks for any newbie out there.

  1. Strategy - How to... When people say "you need a trading strategy!!" Its because trading is very hard and emotional. You need to stick to your rules at all times. Dont panic and move your stop loss or target unless your rules tell you to. Now how do you make these rules? Well this is the part that takes alot of time. If your rules are very simple (for example: "Buy if Last candles low was the lowest low of the past 10 candles." Lets make this a rule. You can backtest it manually by looking at a chart and going back in time and check every candle. or you can code it using super simple software like prorealtime, MT4 ++ Alot of software is basicly "click and drag" and press a button and it gives you backtest from 10-20-30 years ago in 5 seconds. This is the absolute easiest way to backtest rules and systems. If your trading "pure price action" with your drawn lines and shit, the only way to truly backtest that kind of trading is going in a random forex pair to a random point in time, could be 1 year ago, 1 month ago, 5 years ago.. and then you just trade! Move chart 1 candle at a time, draw your lines and do some "actual trading" and look at your results after moving forward in the chart. If you do not test your strategy your just going in blind, which could be disaster.. Maybe someone told u "this is the correct way to trade" or "this strategy is 90% sure to win every trade!!!" If you think you can do trading without a strategy, then your most likely going to look back at an empty account and wonder why you moved that stop loss or why you didnt take profit etc.. and then your gonna give up. People on youtube, forums, interwebz are not going to give you/sell you a working strategy thats gonna make you rich. If they had a working strategy, they would not give it away/sell it to you.
  2. Money management - How to.... Gonna keep this one short. Risk a small % of your capital on each trade. Dont risk 10%, dont risk 20%. You are going to see loosing trades, your probably gonna see 5-10 loss in a row!! If your trading a 1000$ account and your risking 100$ on each trade (10%) and you loose 5 in a row, your down -50% and probably you cant even trade cus of margin req. Game over.. Now how does one get super rich, super fast, from risking 1-3% of your account on each trade?? Well heres the shocking message: YOU CANT GET RICH FAST FROM TRADING UNLESS YOUR WILLING TO GO ALL IN! You can of course go all in on each trade and if you get em all right, you might get 1000%, then you go all in 1 more time and loose it all... The whole point of trading is NOT going bust. Not loosing everything, cus if you loose it all its game over and no more trading for you.
  3. Find your own trading style.... Everyone is different. You can have an average holding period of 1 month or you could be looking at a 1 min chart and average holding time = 10 minutes. For some, less volatility helps them sleep at night. For others, more volatility gives them a rush and some people crave this. There is no "correct" timeframes, or holding periods, or how much to profit or how much to loose. We are all individuals with different taste in risk. Some dont like risk, others wanna go all in to get rich over night. The smart approach is somewhere in the middle. If you dont risk anything, your not gonna get anything. If you risk everything, your most likely going to loose everything. When people are talking about trading style, this is kinda what that means.
  4. There are mainly 2 ways to trade: Divergence and Convergence. Or in other words: Mean reversion or trend following. Lets talk about them both: Trend following is trying to find a trend and stay with the trend until its over. Mean reversion is the belief that price is too far away from the average XX of price, and sooner or later, price will have to return to its average/mean (hence the name: MEAN reversion). Trend following systems usually see a lower winrate (30-40% winrate with no money management is not uncommon to see when backtesting trend following systems.. You can add good money management to get the winrate % higher. Why is the % winrate so low? Well a market, whatever that market is, tend to get real choppy and nasty right after a huge trend. So your gonna see alot of choppy fake signals that might kill 5-6 trades in a row, until the next huge trend starts which is going to cover all the losses from the small losses before the trend took off. Then you gotta hold that trade until trade is done. How do you define "when trend starts and stops"? Well thats back to point 1, find a strategy. Try defining rules for an entry and exit and see how it goes when you backtest it. For mean reversion the win % is usually high, like 70-90% winrate, but the average winning trade is alot smaller than the average loosing trade. this happens because you are basicly trying to catch a falling knife, or catch a booming rocket. Usually when trading mean reversion, waiting for price to actually reverse can very often leave you with being "too late", so you kinda have to find "the bottom" or "the top" before it actually has bottomed/ topped out and reversed. How can you do this you ask? Well your never going to hit every top or every bottom, but you can find ways to find "the bottom-ish" or "the top-ish", thens ell as soon as price reverts back to the mean. Sometimes your gonna wish you held on to the trade for longer, but again, back to point 1: Backtest your rules and figure that shit out.

Read these 4 points and try to follow them and you are at least 4 steps closer to being a profitable trader. Some might disagree with me on some points but i think for the majority, people are going to agree that these 4 points are pretty much universal. Most traders have done or are doing these things every day, in every trade.
Here is some GREAT material to read: Kevin Davey has won trading championship multiple times and he has written multiple great books, from beginner to advanced level. Recommend these books 100%, for example: Building winning algorithmic trading systems" will give you alot to work with when it comes to all 4 of the above points. Market wizards, Reminiscences of a stock operator are 2 books that are a great read but wont give you much "trading knowledge" that you can directly use for your trading. Books on "The turtles" are great reading. Then you have podcasts and youtube. I would stay away from youtube as much as possible when it comes to "Heres how to use the rsi!!!" or "this strategy will make you rich!!". Most youtube videoes are made by people who wanna sell you a course or a book. Most of this is just pure bullshit. Youtube can very harmfull and i would honestly advice about going there for "strategy adivce" and such. Podcasts tho are amazing, i highly recommend: Better systems trader, Chat with traders, Top traders unplugged, We study billionairs, to name a few :)
Also, on a less funny note.. Please realize that you are, and i am, real fucking stupid and lazy compared to the actual pro's out there. This is why you should not go "all in" on some blind stupid strategy youve heard about. This is why this is indeed VERY FUCKING HARD and most, if not everyone has busted an account or two before realizing just this. Your dumb.. your not going to be super rich within 1 year.. You can not start with 500$ account and make millions! (some might have been able to do this, but know that for every winner, theres 999 loosers behind him that failed... Might work fine first 5 trades, then 1 fuckup tho and ur gone..
And lastly: Try using a backtesting software. Its often FREE!!! (on a demo account) and often so simple a baby could use it. If your trading lines and such there exists web broweser "games" and softwares that lets you go "1 and 1 candle ahead" in random forex pairs and that lets you trade as if its "real" as it goes.
A big backtesting trap however is backtesting "losely" by just drawing lines and looking at chart going "oh i would have taken this trade FOR SURE!! I would have made so much money!!" however this is not actually backtesting, its cherry picking and its biased beyond the grave, and its going to hurt you. Try going 1 candle at a time doing "real and live" trades and see how it goes.

Bonus point!!
many people misunderstands what indicators like the RSI is telling you. Indeed something is "overbought" or "oversold" but only compared to the last average of xx amounts of bars/candles.
It doesn't tell you that RIGHT NOW is a great time to sell or buy. It only tells you that the math formula that is RSI, gives you a number between 1-100, and when its above 70 its telling you that momentum is up compared to the last average 14 candles. This is not a complete buy/sell signal. Its more like a filter if anything. This is true for MOST indicators. They INDICATE stuff. Dont use them as pure buy/sell signals.. At least backtest that shit first! Your probably gonna be shocked at the shitty results if you "buy wehn rsi is undeer 30 and sell when RSI is above 70".

Editedit: Huge post already, why not copy paste my comment with an example showing the difference in trend following vs mean reversion:
The thing about trend following is that we never know when a trade starts and when it ends. So what often happens is that you have to buy every breakout going up, but not every breakout is a new trend. Lets do an example. Check out the photo i included here: https://imageshost.eu/image/image.RcC

THE PHOTO IS JUST AN EXAMPLE THAT SHOWS WHY A TYPICAL TREND FOLLOWING STRATEGY HAVE A "LOW" WINRATE.
THE PHOTO IS NOT SHOWING AN EXAMPLE OF MY STRATEGIES OR TRADING.

  1. We identify the big orange trend up.
  2. We see the big break down (marked with the vertical red line) this is telling us we are not going higher just yet. Our upwards trend is broken. However we might continue going up in a new trend, but when will that trend come?
  3. We can draw the blue trend very earyly using highs and lows, lines up and down. Then we begin to look for breakouts of the upper blue line. So every time price breaks upper blue line we have to buy (cus how else are we going to "catch the next trend going up?)
As you can see we get 5 false breakouts before the real breakout happens!
Now if you could tell fake breakouts from real breakouts, your gonna be rich hehe. For everyone else: Take every signal you can get, put a "tight" stop loss so in case its a fake signal you only loose a little bit. Then when breakout happens as you can clearly see in chart, your going to make back all the small losses.
So in this example we fail 5 times, but get 1 HUGE new trend going further up. This 1 huge trade, unless we fuck it up and take profits too early or shit like that, is going to win back all those small losses + more.
This is why trend following has a low winrate. You get 5 small loss and 1 big win.

Now lets flip this! Imagine if your trading Mean reversion on all the same red arrows! So every time price hits the blue line, we go short back to the bottom (or middle) again! You would have won 5 trades with small profits, but on that last one you would get stopped out so hard. Meaning 5 small wins, 1 big loss (as some have pointed out in comments, if you where trading mean reverting you would wanna buy the lows as well as short the tops - photo was suppose to show why trend following strategies have a lower % winrate.)

Final edit: sorry this looks like a wall of text on ur phones.
submitted by RipRepRop to Forex [link] [comments]

Strategy - Why you should backtest your systems

Hello world. Long time lurker here. Wanna give a huge tip to all newbies out there thats thinking about strategies. (like "Buy when price crosses above moving average 10" or whatever)

If you think you have a strategy (a set of rules) then theres no excuse not to backtest the rules!
Lets say you wanna "Buy when moving average[10] crosses over moving average[20]" or whatever numbers or indicators or rules youre thinking about.
All you gotta do is sign up with a broker (demo account!! free) that provides you with a software that allows you to backtest! The coding is 9/10 times super duper easy to learn and use. Just google for it and you should find multiple brokers that can provide different types of software to run backtests.

"Cant you just backtest manually looking at chart?" - Well, you can! But this takes a long long time and you will not see exact results. Using a software you can test your strategy on all the different timeframes, multiple years back in time, on all the currency pairs you want to test it on.
Heres an example, its my own algorithm (algorithm just means "set of rules") that i have created for USD/JPY, backtested from 2004 -> 2019 thats 15 years of backtesting! My system seemed profitable and robust so i decided to run this system live and its actually in a trade right now. So far its been profitable and good to me.

For all you traders that do not rely on fixed systems/set of rules: Backtesting is very hard because if you rely on your own drawings and support/resistance lines, then backtesting is biased before you even begin.. unless your testing in "real time" which of course is much more valid. Non the less you should just scroll "back in time" on chart and start "trading" with "paper money" and just move 1 and 1 candle forward until you either see that your system is working or not.

https://imgur.com/a/p8aVdIT

Edit: Guess i never answered "Why" you should backtest. I started out trading stocks, then i realized "patterns" was a thing in every chart on all timeframes and i started to look at forex cus markets are plentiful and open 24/5. After a few hit and missed and busted tiny accounts i realized i needed to test my theories and strategies. Thats when i discovered that coming up with a strategy that actually works, year after year on multiple pairs, is not only hard, its realy fucking hard! And thats also when i realized how flawed my "plans to get rich in trading" really was.. When your just charting and drawing lines and trading on them, you dont really have a plan, and without a firm strict plan (at least for me) the pitfalls are many, and devastating. So i started looking at how to actually make profitable strategies, reading books and listening to podcasts, and today im running multiple strategies in multiple markets on multiple timeframes. So far ive been profitable. definitly not gonna quit my dayjob tomorrow, just so thats clear.. trading is risky and having a dayjob and monthly income is definitly something im gonna continue with lol.
submitted by RipRepRop to Forex [link] [comments]

How to get started in Forex - A comprehensive guide for newbies

Almost every day people come to this subreddit asking the same basic questions over and over again. I've put this guide together to point you in the right direction and help you get started on your forex journey.

A quick background on me before you ask: My name is Bob, I'm based out of western Canada. I started my forex journey back in January 2018 and am still learning. However I am trading live, not on demo accounts. I also code my own EA's. I not certified, licensed, insured, or even remotely qualified as a professional in the finance industry. Nothing I say constitutes financial advice. Take what I'm saying with a grain of salt, but everything I've outlined below is a synopsis of some tough lessons I've learned over the last year of being in this business.

LET'S GET SOME UNPLEASANTNESS OUT OF THE WAY

I'm going to call you stupid. I'm also going to call you dumb. I'm going to call you many other things. I do this because odds are, you are stupid, foolish,and just asking to have your money taken away. Welcome to the 95% of retail traders. Perhaps uneducated or uninformed are better phrases, but I've never been a big proponent of being politically correct.

Want to get out of the 95% and join the 5% of us who actually make money doing this? Put your grown up pants on, buck up, and don't give me any of this pc "This is hurting my feelings so I'm not going to listen to you" bullshit that the world has been moving towards.

Let's rip the bandage off quickly on this point - the world does not give a fuck about you. At one point maybe it did, it was this amazing vision nicknamed the American Dream. It died an agonizing, horrible death at the hand of capitalists and entrepreneurs. The world today revolves around money. Your money, my money, everybody's money. People want to take your money to add it to theirs. They don't give a fuck if it forces you out on the street and your family has to live in cardboard box. The world just stopped caring in general. It sucks, but it's the way the world works now. Welcome to the new world order. It's called Capitalism.

And here comes the next hard truth that you will need to accept - Forex is a cruel bitch of a mistress. She will hurt you. She will torment you. She will give you nightmares. She will keep you awake at night. And then she will tease you with a glimmer of hope to lure you into a false sense of security before she then guts you like a fish and shows you what your insides look like. This statement applies to all trading markets - they are cruel, ruthless, and not for the weak minded.

The sooner you accept these truths, the sooner you will become profitable. Don't accept it? That's fine. Don't bother reading any further. If I've offended you I don't give a fuck. You can run back home and hide under your bed. The world doesn't care and neither do I.

For what it's worth - I am not normally an major condescending asshole like the above paragraphs would suggest. In fact, if you look through my posts on this subreddit you will see I am actually quite helpful most of the time to many people who come here. But I need you to really understand that Forex is not for most people. It will make you cry. And if the markets themselves don't do it, the people in the markets will.

LESSON 1 - LEARN THE BASICS

Save yourself and everybody here a bunch of time - learn the basics of forex. You can learn the basics for free - BabyPips has one of the best free courses online which explains what exactly forex is, how it works, different strategies and methods of how to approach trading, and many other amazing topics.

You can access the BabyPips course by clicking this link: https://www.babypips.com/learn/forex

Do EVERY course in the School of Pipsology. It's free, it's comprehensive, and it will save you from a lot of trouble. It also has the added benefit of preventing you from looking foolish and uneducated when you come here asking for help if you already know this stuff.

If you still have questions about how forex works, please see the FREE RESOURCES links on the /Forex FAQ which can be found here: https://www.reddit.com/Forex/wiki/index

Quiz Time
Answer these questions truthfully to yourself:

-What is the difference between a market order, a stop order, and a limit order?
-How do you draw a support/resistance line? (Demonstrate it to yourself)
-What is the difference between MACD, RSI, and Stochastic indicators?
-What is fundamental analysis and how does it differ from technical analysis and price action trading?
-True or False: It's better to have a broker who gives you 500:1 margin instead of 50:1 margin. Be able to justify your reasoning.

If you don't know to answer to any of these questions, then you aren't ready to move on. Go back to the School of Pipsology linked above and do it all again.

If you can answer these questions without having to refer to any kind of reference then congratulations, you are ready to move past being a forex newbie and are ready to dive into the wonderful world of currency trading! Move onto Lesson 2 below.

LESSON 2 - RANDOM STRANGERS ARE NOT GOING TO HELP YOU GET RICH IN FOREX

This may come as a bit of a shock to you, but that random stranger on instagram who is posting about how he is killing it on forex is not trying to insprire you to greatness. He's also not trying to help you. He's also not trying to teach you how to attain financial freedom.

99.99999% of people posting about wanting to help you become rich in forex are LYING TO YOU.

Why would such nice, polite people do such a thing? Because THEY ARE TRYING TO PROFIT FROM YOUR STUPIDITY.

Plain and simple. Here's just a few ways these "experts" and "gurus" profit from you:


These are just a few examples. The reality is that very few people make it big in forex or any kind of trading. If somebody is trying to sell you the dream, they are essentially a magician - making you look the other way while they snatch your wallet and clean you out.

Additionally, on the topic of fund managers - legitimate fund managers will be certified, licensed, and insured. Ask them for proof of those 3 things. What they typically look like are:

If you are talking to a fund manager and they are insisting they have all of these, get a copy of their verification documents and lookup their licenses on the directories of the issuers to verify they are valid. If they are, then at least you are talking to somebody who seems to have their shit together and is doing investment management and trading as a professional and you are at least partially protected when the shit hits the fan.


LESSON 3 - UNDERSTAND YOUR RISK

Many people jump into Forex, drop $2000 into a broker account and start trading 1 lot orders because they signed up with a broker thinking they will get rich because they were given 500:1 margin and can risk it all on each trade. Worst-case scenario you lose your account, best case scenario you become a millionaire very quickly. Seems like a pretty good gamble right? You are dead wrong.

As a new trader, you should never risk more than 1% of your account balance on a trade. If you have some experience and are confident and doing well, then it's perfectly natural to risk 2-3% of your account per trade. Anybody who risks more than 4-5% of their account on a single trade deserves to blow their account. At that point you aren't trading, you are gambling. Don't pretend you are a trader when really you are just putting everything on red and hoping the roulette ball lands in the right spot. It's stupid and reckless and going to screw you very quickly.

Let's do some math here:

You put $2,000 into your trading account.
Risking 1% means you are willing to lose $20 per trade. That means you are going to be trading micro lots, or 0.01 lots most likely ($0.10/pip). At that level you can have a trade stop loss at -200 pips and only lose $20. It's the best starting point for anybody. Additionally, if you SL 20 trades in a row you are only down $200 (or 10% of your account) which isn't that difficult to recover from.
Risking 3% means you are willing to lose $60 per trade. You could do mini lots at this point, which is 0.1 lots (or $1/pip). Let's say you SL on 20 trades in a row. You've just lost $1,200 or 60% of your account. Even veteran traders will go through periods of repeat SL'ing, you are not a special snowflake and are not immune to periods of major drawdown.
Risking 5% means you are willing to lose $100 per trade. SL 20 trades in a row, your account is blown. As Red Foreman would call it - Good job dumbass.

Never risk more than 1% of your account on any trade until you can show that you are either consistently breaking even or making a profit. By consistently, I mean 200 trades minimum. You do 200 trades over a period of time and either break-even or make a profit, then you should be alright to increase your risk.

Unfortunately, this is where many retail traders get greedy and blow it. They will do 10 trades and hit their profit target on 9 of them. They will start seeing huge piles of money in their future and get greedy. They will start taking more risk on their trades than their account can handle.

200 trades of break-even or profitable performance risking 1% per trade. Don't even think about increasing your risk tolerance until you do it. When you get to this point, increase you risk to 2%. Do 1,000 trades at this level and show break-even or profit. If you blow your account, go back down to 1% until you can figure out what the hell you did differently or wrong, fix your strategy, and try again.

Once you clear 1,000 trades at 2%, it's really up to you if you want to increase your risk. I don't recommend it. Even 2% is bordering on gambling to be honest.


LESSON 4 - THE 500 PIP DRAWDOWN RULE

This is a rule I created for myself and it's a great way to help protect your account from blowing.

Sometimes the market goes insane. Like really insane. Insane to the point that your broker can't keep up and they can't hold your orders to the SL and TP levels you specified. They will try, but during a flash crash like we had at the start of January 2019 the rules can sometimes go flying out the window on account of the trading servers being unable to keep up with all the shit that's hitting the fan.

Because of this I live by a rule I call the 500 Pip Drawdown Rule and it's really quite simple - Have enough funds in your account to cover a 500 pip drawdown on your largest open trade. I don't care if you set a SL of -50 pips. During a flash crash that shit sometimes just breaks.

So let's use an example - you open a 0.1 lot short order on USDCAD and set the SL to 50 pips (so you'd only lose $50 if you hit stoploss). An hour later Trump makes some absurd announcement which causes a massive fundamental event on the market. A flash crash happens and over the course of the next few minutes USDCAD spikes up 500 pips, your broker is struggling to keep shit under control and your order slips through the cracks. By the time your broker is able to clear the backlog of orders and activity, your order closes out at 500 pips in the red. You just lost $500 when you intended initially to only risk $50.

It gets kinda scary if you are dealing with whole lot orders. A single order with a 500 pip drawdown is $5,000 gone in an instant. That will decimate many trader accounts.

Remember my statements above about Forex being a cruel bitch of a mistress? I wasn't kidding.

Granted - the above scenario is very rare to actually happen. But glitches to happen from time to time. Broker servers go offline. Weird shit happens which sets off a fundamental shift. Lots of stuff can break your account very quickly if you aren't using proper risk management.


LESSON 5 - UNDERSTAND DIFFERENT TRADING METHODOLOGIES

Generally speaking, there are 3 trading methodologies that traders employ. It's important to figure out what method you intend to use before asking for help. Each has their pros and cons, and you can combine them in a somewhat hybrid methodology but that introduces challenges as well.

In a nutshell:

Now you may be thinking that you want to be a a price action trader - you should still learn the principles and concepts behind TA and FA. Same if you are planning to be a technical trader - you should learn about price action and fundamental analysis. More knowledge is better, always.

With regards to technical analysis, you need to really understand what the different indicators are tell you. It's very easy to misinterpret what an indicator is telling you, which causes you to make a bad trade and lose money. It's also important to understand that every indicator can be tuned to your personal preferences.

You might find, for example, that using Bollinger Bands with the normal 20 period SMA close, 2 standard deviation is not effective for how you look at the chart, but changing that to say a 20 period EMA average price, 1 standard deviation bollinger band indicator could give you significantly more insight.


LESSON 6 - TIMEFRAMES MATTER

Understanding the differences in which timeframes you trade on will make or break your chosen strategy. Some strategies work really well on Daily timeframes (i.e. Ichimoku) but they fall flat on their face if you use them on 1H timeframes, for example.

There is no right or wrong answer on what timeframe is best to trade on. Generally speaking however, there are 2 things to consider:


If you are a total newbie to forex, I suggest you don't trade on anything shorter than the 1H timeframe when you are first learning. Trading on higher timeframes tends to be much more forgiving and profitable per trade. Scalping is a delicate art and requires finesse and can be very challenging when you are first starting out.


LESSON 7 - AUTOBOTS...ROLL OUT!

Yeah...I'm a geek and grew up with the Transformers franchise decades before Michael Bay came along. Deal with it.

Forex bots are called EA's (Expert Advisors). They can be wonderous and devastating at the same time. /Forex is not really the best place to get help with them. That is what /algotrading is useful for. However some of us that lurk on /Forex code EA's and will try to assist when we can.

Anybody can learn to code an EA. But just like how 95% of retail traders fail, I would estimate the same is true for forex bots. Either the strategy doesn't work, the code is buggy, or many other reasons can cause EA's to fail. Because EA's can often times run up hundreds of orders in a very quick period of time, it's critical that you test them repeatedly before letting them lose on a live trading account so they don't blow your account to pieces. You have been warned.

If you want to learn how to code an EA, I suggest you start with MQL. It's a programming language which can be directly interpretted by Meta Trader. The Meta Trader terminal client even gives you a built in IDE for coding EA's in MQL. The downside is it can be buggy and glitchy and caused many frustrating hours of work to figure out what is wrong.

If you don't want to learn MQL, you can code an EA up in just about any programming language. Python is really popular for forex bots for some reason. But that doesn't mean you couldn't do it in something like C++ or Java or hell even something more unusual like JQuery if you really wanted.

I'm not going to get into the finer details of how to code EA's, there are some amazing guides out there. Just be careful with them. They can be your best friend and at the same time also your worst enemy when it comes to forex.

One final note on EA's - don't buy them. Ever. Let me put this into perspective - I create an EA which is literally producing money for me automatically 24/5. If it really is a good EA which is profitable, there is no way in hell I'm selling it. I'm keeping it to myself to make a fortune off of. EA's that are for sale will not work, will blow your account, and the developer who coded it will tell you that's too darn bad but no refunds. Don't ever buy an EA from anybody.

LESSON 8 - BRING ON THE HATERS

You are going to find that this subreddit is frequented by trolls. Some of them will get really nasty. Some of them will threaten you. Some of them will just make you miserable. It's the price you pay for admission to the /Forex club.

If you can't handle it, then I suggest you don't post here. Find a more newbie-friendly site. It sucks, but it's reality.

We often refer to trolls on this subreddit as shitcunts. That's your word of the day. Learn it, love it. Shitcunts.


YOU MADE IT, WELCOME TO FOREX!

If you've made it through all of the above and aren't cringing or getting scared, then welcome aboard the forex train! You will fit in nicely here. Ask your questions and the non-shitcunts of our little corner of reddit will try to help you.

Assuming this post doesn't get nuked and I don't get banned for it, I'll add more lessons to this post over time. Lessons I intend to add in the future:
If there is something else you feel should be included please drop a comment and I'll add it to the above list of pending topics.

Cheers,

Bob



submitted by wafflestation to Forex [link] [comments]

https://www.m1finance.com/articles-2/best-financial-websites/

What are the best financial websites?
The best financial sites offer a wealth of resources to people ranging from beginning investors to seasoned professionals. Some of these websites come from recognized leading financial media sources while others offer personal and investment financial advice from bloggers who have been successful. We have compiled a list of the best financial sites and finance blogs that you should include in your list of reading.
Why should I read the top financial websites?
In the past, people had to rely on financial advisors to gain information and education about finance. That notion has changed with the availability of the internet. There is a variety of top financial websites with more coming online each day. Since not everyone has a background in finance, reading some of the best websites is a great way for you to become more educated and confident about finance.
When did financial advice websites begin?
Financial websites started in the late 1990s with many more coming online in the 2000s. Some, such as Bankrate, started out in print decades ago before transforming into one of the best financial websites. Financial planning websites can help you to learn how to manage your money and to build wealth in a more effective way.
Learn about the best financial websites and financial blogs from M1 Finance Users of the best financial websites today
According to data from Statista, the top three leading finance websites by visitors include Yahoo! Finance with 70 million visitors per month, MSN Money Central with 65 million monthly visitors, and CNN Money with 50 million monthly visitors. The need for financial education and literacy is clear. According to the Financial Educators Council, the average test result for financial literacy across all age groups was a low 63%.
According to the Next Web, more than one million new users of the internet are coming online every day. There are reportedly over 4.3 billion internet users who are now online around the world. The global reach of the internet makes it an ideal vehicle for helping people around the world to become financially literate.
What are some of the best general financial websites?
These best financial websites are leaders in the provision of general financial information. Investors of all levels can benefit by making it a habit to read these top financial websites on a regular basis.
Yahoo!Finance
Yahoo! Finance aggregates finance news from around the internet. It also allows you to purchase company reports. You can find charts, price quotes, information about competitor companies, earnings reports and key ratios for free.
CNBC Markets
CNBC Markets provides up-to-date news about the global markets. In the news section, you can find listings of developments in the U.S. stock markets as well as for developments across Europe and Asia.
Forbes Money
Forbes Money is a leader in the finance and business world. Readers who are invested in topics such as investing, business and leadership can all find something that appeals to them in Forbes. In addition to finance topics, Forbes also covers related financial areas.
Investing.com
Investing.com is one of the best financial sites for people who are interested in active trading. On the home page, you can view forex prices, ETFs, commodities prices and futures contracts. The news section offers in-depth articles. Investors check this site daily to see current quotes for a variety of different investments.
Bloomberg
Bloomberg is one of the best financial websites for market data. On its news section, you can choose from different categories by region, general financial information, industry and asset class. You can see the historical information for a queried stock, which is helpful in identifying how different types of news reports impact the performance of the stock.
Reuters
Reuters is another website for obtaining market data. It offers broad coverage of stock news, sector news and market news. You can also find historical information, as well as an auto-complete stock name feature that is helpful search tool.
GoogleFinance
GoogleFinance is one of the best financial sites because of its search functionality. You can find an abundance of information about price quotes, news, competitor companies, earnings reports and key ratios. Keep in mind that some news items are not in real-time.
Read about the best financial websites and financial blogs from M1 Finance The Wall Street Journal
The Wall Street Journal has been released in print format since 1989. Online, it is reviewed as one of the top financial websites around the world. Readers from across the globe subscribe to the Wall Street Journal for its business news. The WSJ also offers its readers email alerts about news and stock information.
Investopedia
Investopedia is one of the best financial websites because of its emphasis on financial education. You are able to start a watchlist to track your stocks and can take courses on investing through its Investopedia Academy. The many articles offered by Investopedia is a rich resource for people who want to learn more about the stock market and financial principles.
Financial Times
The Financial Times is another leading publication that is read around the world. It offers comprehensive international coverage of financial news. However, you are only able to read the headlines for free. With a paid subscription, you can read the detailed news reports and gain access to diversified content.
NerdWallet
NerdWallet is one of the best financial websites for comparisons. The site allows you to compare investment accounts, high-yield savings accounts, CDs, debit cards, mortgages and credit cards. The site releases a best list for every category annually.
The Economist
The Economist is another go-to source for the latest in international news. It is authoritative and offers in-depth coverage of politics, finance, business, technology and science.
BankRate
BankRate was launched in 1976 as a newsletter and is highly respected. It has become one of the best financial websites available on the internet. You can find a wealth of data on mortgages, bank rates and credit cards. It also offers online financial advice about financial planning, investing and saving for retirement.
Barron’s
Barron’s is a weekly newspaper that has been published since 1921. On its website, it provides news about market developments in the U.S., financial information and related statistics. The website contains interest sections with in-depth coverage contained within each. Latest financial news can be found on its home page, while interest sections include technology, retirement, options and funds.
SEC
The SEC offers primary source material such as the quarterly and annual financial reports that have been filed with the SEC. These include publicly-traded companies’ filings. All of this data can be accessed through EDGAR on the SEC’s website by searching for a stock ticker symbol or the name of a company.
Kiplinger
Kiplinger ranks as one of the top financial advice websites. It is a sound resource for financial advice with coverage on how to save money and avoid fees. Kiplinger has a section that covers the basics of personal finance and has quizzes on a variety of finance topics.
Motley Fool
The Motley Fool offers investors in-depth analysis on general financial information. It also has stock market analyses and insights. While the name might be odd, the financial services company encourages its readers to become financially independent through information and research. Access to advice from experts is offered for an additional charge.
Money Morning
Money Morning boasts a free daily newsletter on information that can help you to become financially independent. The site’s layout is divided into major categories as well as hot topics sections. You can find advice on different stocks with in-depth analyses.
What are some of the best financial websites for stocks and trading?
If you are wanting to focus on the best financial websites for stocks, you can cut down your search time by including in your reading these best financial sites that we have listed for you. Each of these sites allows you to get the information that you need about different stocks and companies so that you can make informed investment decisions.
Investigate the best financial websites and financial blogs from M1 Finance CNN Markets
CNN is among the top news networks in the world. It has a markets section that simplifies browsing of economic news. The markets section contains current financial news, commodities changes, trending stocks and much more. Each of these topics has its own dedicated page for more in-depth information. If you want a fast update about the market news, CNN is a great source.
MarketWatch
MarketWatch has a news viewer section that gives you access to stories that have timestamps. News items are automatically updated, and its coverage includes global stock markets, forex, commodities and other classes of assets. It also offers data about macroeconomics and fundamental analysis information.
Seeking Alpha
Seeking Alpha aggregates data from other financial sites. You can find trending finance articles from across the internet together with the top-performing stocks and recent news. Seeking Alpha articles range from types of investment to investment strategies.
NASDAQ
NASDAQ offers the latest analysis and stock market news. You can find information on companies and their competitors, the latest news and see how the markets are performing. The site also provides quote updates and financial tools to aid in your investing endeavors.
Morningstar
Morningstar allows you to view annual returns of ETFs and mutual funds for the past 10 years. Quarterly and monthly returns for the past five years are also available on this site. You can review the after-tax returns of different funds so that you can gain a better idea of investor earnings.
The Street
The Street is one of the best financial sites for news about investing. When you read The Street, you can find opinions, recommendations, current events and how to get started in the market. There are also paid services that are available to investors, including market analyses and advanced strategies.
Zacks Investment Research
Zacks Investment Research requires you to sign up for a free membership to gain access to its data on funds and stocks. You are able to use this site to conduct comprehensive research. Zacks gives you access to independent reports that can help you when you are trying to build a well-diversified portfolio.
Review the best financial websites and financial blogs from M1 Finance NYSE
If you are invested in the stock market, the NYSE should be included on your list of best financial sites to read. The NYSE access includes listings information, markets, historical and real-time market data. All investors should make a habit of checking the NYSE’s site on a regular basis to stay informed.
What are some of the best financial blog sites?
Our list of best financial websites contains multiple finance blogs. These blogs offer online financial advice and financial planning tools while also providing answers to common investing questions. A list of the best financial sites would not be complete without including these top financial websites.
The Balance
The Balance offers articles that are divided into categories such as retirement, investing, debt management and banking. The articles give advice about many areas of finance and aim to increase your financial literacy.
Wise Bread
Wise Bread is a community of personal finance bloggers and finance experts. The goal is to help people to live well financially and to derive more enjoyment out of life. It includes multiple sections, including personal finance, frugal living, life hacks, credit cards and career advice.
Financial Post
The Financial Post offers a mix of financial news and analysis together with personal finance advice. The site targets a range of people from young investors to high net worth investors.
Money Crashers
Money Crashers is a comprehensive site that covers nearly all things related to finance. You can find information about debt, credit, investments, living frugally, small business and family. The goal is to educate those who are looking to make sound financial decisions.
The Simple Dollar
The Simple Dollar, written by the author of “365 Ways to Live Cheap!”, provides numerous tips for frugal living. It is one of the best financial planning websites for people who are wanting to gain control of their finances. Reading this blog can give you answers to your financial questions about how to reduce your expenses so that you can live within your means.
Good Financial Cents
Good Financial Cents is one of the best financial sites for people who want to learn about personal finance. It is written by Jeff Rose, who also has a YouTube Channel featuring many of his blog topics. The focus of this certified financial advisor’s blog is to educate people on how to become financially independent.
Financial Samurai
The Financial Samurai was established in 2009 by Sam Dogen. He was able to leave his job in corporate America after 13 years by saving at least 50% of his after-tax income from the time that he began his professional job. He invested his savings in real estate, bonds, stocks and CDs in order to have enough passive income to be able to quit his job and focus on his blog. He offers information about wealth management, financial products, real estate and more.
Dave Ramsey
Dave Ramsey is a well-known expert in the finance field who offers financial planning tools and personal finance education. His blog is recognized as one of the top financial planning websites and is used by millions of people to learn how to build wealth, reduce debt and increase their savings.
Mint Life
Mint Life is among the best financial sites for people who are looking for a broad personal finance resource. The blog contains a large list of money management categories with a range of articles available in each. The categories include everything from student finances, housing finances, food budgets, to much more.
Mr. Money Mustache
Mr. Money Mustache is a credible finance site with a quirky name. The author, who was able to retire at age 30, started his blog in 2005 when he was 36 years old. The blog’s mission is to allow you to learn how to live below your means and to build your savings quickly so that you can retire early, too.
Incorporating some of the best financial websites into your daily life can help you to learn more about how you can attain financial freedom by budgeting, living frugally and making saving a habit. You can take the information that you learn from these sites and apply it when you invest with M1 Finance.
Learn how M1 can empower you to manage your money and earn more
You can use your acquired knowledge from top financial websites to manage your own portfolio with M1. Instead of paying someone else to build a portfolio, you are able to build one yourself with M1. You have the control to customize your portfolio in order to meet your needs or you the option to choose from 80 prebuilt expert portfolios that were created to meet different goals, timeframes and risk levels. The sleek and intuitive design of the M1 Finance platform makes managing and building your portfolio simple.
M1 Finance is an online brokerage firm that blends key financial principles with digital technology to provide investors with a straightforward and seamless investing experience. M1 Finance helps you to manage your money in a more effective way so that you can earn more. The platform uses automated reinvestments and dynamic portfolio rebalancing to save you time. These features help to keep your portfolio in line to meet your financial goals.
When you choose M1 Finance, you are able to invest for free. M1 does not charge management fees or commissions, and you will be able to access the powerful automation from anywhere with its mobile investing capabilities. Get started today by signing up online or call us to learn more about investing at 312-600-2883. DISCLAIMER: Please consult your finance and tax professionals to learn more about investing and taxes.
Back to top
submitted by luis3445 to M1Finance [link] [comments]

[educational] Technical analysis, patterns, and charts analysis for the day trader

[educational] Technical analysis, patterns, and charts analysis for the day trader
Chart patterns form a key part of day trading. Candlestick and other charts produce frequent signals that cut through price action “noise”.
The best patterns will be those that can form the backbone of a profitable day trading strategy, whether trading stocks, cryptocurrency of forex pairs.
Every day you have to choose between hundreds of trading opportunities. This is a result of a wide range of factors influencing the market. Day trading patterns enable you to decipher the multitude of options and motivations – from hope of gain and fear of loss, to short-covering, stop-loss triggers, hedging, tax consequences and plenty more.
Candlestick patterns help by painting a clear picture, and flagging up trading signals and signs of future price movements. Whilst it’s said you’ll need to use technical analysis to succeed day trading with candlestick and other patterns, it’s important to note utilizing them to your advantage is more of an art form than a rigid science.
You have to learn the power of chart patterns and the theory that governs them in order to identify the best patterns to supplement your trading style and strategies.

Use In Day Trading

Used correctly trading patterns can add a powerful tool to your arsenal. This is because history has a habit of repeating itself and the financial markets are no exception. This repetition can help you identify opportunities and anticipate potential pitfalls.
RSI, volume, plus support and resistance levels all aide your technical analysis when you’re trading. But crypto chart patterns play a crucial role in identifying breakouts and trend reversals. Mastering the art of reading these patterns will help you make smarter trades and bolster your profits, as highlighted in the highly regarded, ‘stock patterns for day trading’, by Barry Rudd.

Breakouts & Reversals

In the patterns and charts below you’ll see two recurring themes, breakouts and reversals.
  • Breakout – A breakout is simply when the price clears a specified critical level on your chart. This level could by any number of things, from a Fibonacci level, to support, resistance or trend lines.
  • Reversal – A reversal is simply a change in direction of a price trend. That change could be either positive or negative against the prevailing trend. You may also hear it called a ‘rally’, ‘correction’, or ‘trend reversal’.

Candlestick Charts

Candlestick charts are a technical tool at your disposal. They consolidate data within given time frames into single bars. Not only are the patterns relatively straightforward to interpret, but trading with candle patterns can help you attain that competitive edge over the rest of the market.
They first originated in the 18th century where they were used by Japanese rice traders. Since Steve Nison introduced them to the West with his 1991 book ‘Japanese Candlestick Charting Techniques’, their popularity has surged.
Below is a break down of three of the most popular candlestick patterns used for day trading.

Shooting Star Candlestick

This is often one of the first you see when you open a chart with candlestick patterns. This bearish reversal candlestick suggests a peak. It is precisely the opposite of a hammer candle. It won’t form until at least three subsequent green candles have materialized. This will indicate an increase in price and demand. Usually, buyers lose their cool and clamber for the price to increasing highs before they realize they’ve overpaid.
The upper shadow is usually twice the size of the body. This tells you the last frantic buyers have entered trading just as those that have turned a profit have off-loaded their positions. Short-sellers then usually force the price down to the close of the candle either near or below the open. This traps the late arrivals who pushed the price high. Panic often kicks in at this point as those late arrivals swiftly exit their positions.

https://preview.redd.it/gf5dwjhbrdh31.png?width=300&format=png&auto=webp&s=437ff856bfd6ebc95da34528462ba224d964f01f

Doji Candlestick

One of the most popular candlestick patterns for trading forex is the doji candlestick (doji signifies indecision). This reversal pattern is either bearish or bullish depending on the previous candles. It will have nearly, or the same open and closing price with long shadows. It may look like a cross, but it can have an extremely small body. You will often get an indicator as to which way the reversal will head from the previous candles.
If you see previous candles are bullish, you can anticipate the next one near the underneath of the body low will trigger a short/sell signal when the doji lows break. You’ll then see trail stops above the doji highs.
Alternatively, if the previous candles are bearish then the doji will probably form a bullish reversal. Above the candlestick high, long triggers usually form with a trail stop directly under the doji low.
These candlestick patterns could be used for intraday trading with forex, stocks, cryptocurrencies and any number of other assets. But using candlestick patterns for trading interpretations requires experience, so practice on a demo account before you put real money on the line.

https://preview.redd.it/4yo650lcrdh31.png?width=300&format=png&auto=webp&s=b2aa3cdeef23e44e1e3e3047bbe2604fce0a4768

Hammer Candlestick

This is a bullish reversal candlestick. You can use this candlestick to establish capitulation bottoms. These are then normally followed by a price bump, allowing you to enter a long position.
The hammer candlestick forms at the end of a downtrend and suggests a near-term price bottom. The lower shadow is made by a new low in the downtrend pattern that then closes back near the open. The tail (lower shadow), must be a minimum of twice the size of the actual body.
The tails are those that stopped out as shorts started to cover their positions and those looking for a bargain decided to feast. Volume can also help hammer home the candle. To be certain it is a hammer candle, check where the next candle closes. It must close above the hammer candle low.
Trading with Japanese candlestick patterns has become increasingly popular in recent decades, as a result of the easy to glean and detailed information they provide. This makes them ideal for charts for beginners to get familiar with.

https://preview.redd.it/7snzz8qdrdh31.png?width=300&format=png&auto=webp&s=f83ff82f0980dd30c33bc6886ae7e7ed3a98b72f

More Popular Day Trading Patterns

Using Price Action

Many strategies using simple price action patterns are mistakenly thought to be too basic to yield significant profits. Yet price action strategies are often straightforward to employ and effective, making them ideal for both beginners and experienced traders.
Put simply, price action is how the price is likely to respond at certain levels of resistance or support. Using price action patterns from pdfs and charts will help you identify both swings and trendlines.
Whether you’re day trading stocks or forex or crypto with price patterns, these easy to follow strategies can be applied across the board.

Zone Strategy

So, how do you start day trading with short-term price patterns? you will likely employ a ‘zone strategy’. One obvious bonus to this system is it creates straightforward charts, free from complex indicators and distractions.

https://preview.redd.it/7e5x37zerdh31.png?width=300&format=png&auto=webp&s=2098a4c9df4a4556c3024cec1c176ce50c9806c0

Dead Zone

This empty zone tells you that the price action isn’t headed anywhere. There is no clear up or down trend, the market is at a standoff. If you want big profits, avoid the dead zone completely. No indicator will help you makes thousands of pips here.

The Red Zone

This is where things start to get a little interesting. Once you’re in the red zone the end goal is in sight, and that one hundred pip winner within reach. For example, if the price hits the red zone and continues to the upside, you might want to make a buy trade. It could be giving you higher highs and an indication that it will become an uptrend.
This will be likely when the sellers take hold. If the price hits the red zone and continues to the downside, a sell trade may be on the cards. You’d have new lower lows and a suggestion that it will become a downtrend.

The End Zone

This is where the magic happens. With this strategy, you want to consistently get from the red zone to the end zone. Draw rectangles on your charts like the ones found in the example. Then only trade the zones. If you draw the red zones anywhere from 10-20 pips wide, you’ll have room for the price action to do its usual retracement before heading to the downside or upside.

Outside Bar At Resistance Or Support

You’ll see a bullish outside bar if today’s low exceeded yesterdays, but the stock still rallies and closes above yesterday’s high. If the complete opposite price action took place, you’d have yourself the perfect bearish example.
Unfortunately, it isn’t as straightforward as identifying an outside candlestick and then just placing a trade. It’s prudent to find an outside day after a major break of a trend.

https://preview.redd.it/egb0lp6grdh31.png?width=300&format=png&auto=webp&s=b0170eceea5006464e5832bc3a9083c72ee677ad

Spring At Support

The spring is when the stock tests the low of a range, but then swiftly comes back into trading zone and sets off a new trend. One common mistake traders make is waiting for the last swing low to be reached. However, as you’ve probably realized already, trading setups don’t usually meet your precise requirements so don’t stress about a few pennies.

https://preview.redd.it/q82lap2hrdh31.png?width=300&format=png&auto=webp&s=9e40f0bc25c2df06a1d93edb68b293c858a32592

Little To No Price Retracement

Put simply, less retracement is proof the primary trend is robust and probably going to continue. Forget about coughing up on the numerous Fibonacci retracement levels. The main thing to remember is that you want the retracement to be less than 38.2%. This means even when today’s asset tests the previous swing, you’ll have a greater chance that the breakout will either hold or continue towards the direction of the primary trend.

https://preview.redd.it/ey997b2irdh31.png?width=300&format=png&auto=webp&s=c938aac51e3b3bbf1f45a11c46f4ae3dfd1b6dd4
Trading with price patterns to hand enables you to try any of these strategies. Find the one that fits in with your individual trading style. Remember, you’ll often find the best trading chart patterns aren’t overly complex, instead they paint a clear picture using minimal indicators, reducing the likelihood of mistakes and distraction.

Consider Time Frames

When you start trading with your short term price patterns pdf to hand, it’s essential you also consider time frames in your calculations. In your market, you’ll find a number of time frames simultaneously co-existing. This means you can find conflicting trends within the particular asset your trading. Your stock could be in a primary downtrend whilst also being in an intermediate short-term uptrend.
Many traders make the mistake of focusing on a specific time frame and ignoring the underlying influential primary trend. Usually, the longer the time frame the more reliable the signals. When you reduce your time frames you’ll be distracted by false moves and noise.
Many traders download examples of short-term price patterns but overlook the underlying primary trend, do not make this mistake. You should trade-off 15-minute charts, but utilize 60-minute charts to define the primary trend and 5-minute charts to establish the short-term trend.

Wrapping Up

Our understanding of chart patterns has come along way since the initial 1932 work of Richard Schabacker in ‘Technical Analysis and Stock Market Profits’. Schabacker asserted then, ‘any general stock chart is a combination of countless different patterns and its accurate analysis depends upon constant study, long experience and knowledge of all the fine points, both technical and fundamental…’ So whilst there is an abundance of patterns out there, remember accurate analysis and sustained practice is required to fully reap their benefits.

The source : https://www.daytrading.com/patterns
submitted by JalelTounsi to ethfinance [link] [comments]

90 Day Update / Beginner's Post

Hey all, First time poster, long time lurker. Just learning until I think of useful/interesting post. I just finished Babypips school. No this isn’t another, “What do I do next?!” eager to consume posts. More just introducing myself and share methods as I progress and chat more in this sub. It’s been a super helpful research tool with just the sidebar alone, but the interactions are also generally positive and research engaged. Forex was on my list of active/sidehobby/internet ideas to try. (Along with selling on Ebay and learning/teaching languages) I’ve always been into stocks/finance and I’m open still open to continuing learning past forex into futures and/or cryptocurrency. Forex to me is kind of an intro to price action and charts for me. Also the physics of it all that I’m hoping to apply more as time goes on. Anyways , started forex 2 years ago. Saw I needed disposable income you could lose (which I didnt have at the time) and put it off. Now I’m about 3 months in with my rediscovery of it with a lot more financial cushion/discipline.I finished the babypips school and try to practice 25-45 mins a day of something forex related the last 90 days or so. Here is my routine and some things I”ve learned since starting.
Demo Trading is overrated. And then it becomes the best thing ever. I’m gunna just go out and say it. IF you’re trading for 9 months on demo you should’ve stopped 8 months ago. I mean don’t get me wrong 9 months, that shows alot of persistence in your habits, but you’re spending time on a variable that doesn’t exchange certainty in the real system. I only even say this because you could be like me. Trade demo all this time then find out the leverage you wanted isn’t even available in your country. (U.S here) So I felt like a dummy from the jump, but that’s part of the learning curve you should be doing sooner rather than later. This does not mean fund your account fully. No, put just $200. I trade with my initial capitol @ $200 and I won’t add a penny more until I’ve developed a profitable system with what’s already in there. A good investment is a good investment and throwing more money doesn’t actually add value to the growth return on your investment.(In most cases) So what’s the big deal with Demo? Well for one you want to work with a system that’s tangible in your country. U.S is capped at 1:50 leverage. I don’t know other countries regulations but it’s something I wish someone told me to look out for before I started testing financial strategies. Another thing is the spreads are often very different from what you find in demo (attention scalpers out there) sometimes dramatically. (After NY close of the day /Weekends ) You have to implement all of these factors to your strategy. Now what is demo good for? Starting out! Learning how to set indicators, trades, stop losses and so on. I’d say 60 days max if you can’t donate much time. Even less than 60 days if you have more free time but then after that it’s time to get your feet wet. One other good thing about demo accounts is that it allows you to practice fundamentally different trading ideas out before trying them out on your actual account. An example would be a scalper trying a new position strategy he learned in demo to set some long term positions next year. I enjoy trading because it’s a discipline on your anxiety. When you deposit your first amount, any amount that's more than a new video game or dvd collection, your brain is going to fire off “Hey you bought something new that can make money let’s test it out! It could be making you money” You have to calm this voice first. IF you even can. This voice makes you check the charts 3x more than you did in demo and caused at least me to trade just so the money’s not going to waste. I lost 40% of my account the first week. I would’ve called myself mentally stable before this too. But that voice broke me and you have to confront it because it’s the impatience in all of us and causes you to force your view of the markets to fit your system. Demo is a great tool but shouldnt be held on longer than it’s purpose.
Immersion This is going to be a little shorter than my last topic because this is more something everyone has to find and listen to. Don’t just study the same website or forum for forex everyday. Try to get a wide view of the financial markets as a whole and various media input. Subscribe to a couple good youtube channels maybe a visual representation of what you’ve been learning could help solidify it. Maybe a podcasts personality makes your brain react differently to topics where a bland textbook reading didnt excite you the same. Watch a documentary on trading one week and hell maybe even Wolf of Wall Street another week, whatever it is that gets your whole body involved in the feeling of trading so 1) you don’t get burned out on the topic and 2) you find more ways to connect with the information you find. Whether emotional or visually. Here are two recommendations of channels that help me break the norm of my study routine:
“Two Blokes Trading” Podcast I discovered these guys a while back in a comment thread. I would recommend this podcast to beginners because you can start from the very beginning of their series and learn with them. They’re young, enthusiastic and open to exploring alot of areas to trading and different philosophies. So sometimes you can find gems in subjects you didn’t expect to encounter. They also bring in advisors and brokerage managers to feature on their subjects. And it’s not all forex focused. Check them out: http://twoblokestrading.com/podcast-episodes/
Barry Burns “Top Dog Trading” Barry Burns I like because you have him walking you through the charts on youtube. One of the few videos I watched on Price action were by him where the lightbulb went off. He offers a great free resource and sometimes I even feel guilty getting it on youtube for free before sharing it because it feels like the things he touches on and how he explains them, even paid classes probably couldn’t get right. He has so many videos on different markets and how to read them just apply them to the type of trader you are. https://www.youtube.com/channel/UCcjyImdSWDTCGCa7G24faIQ
Routine ( final topic on this post) So every week I try to keep a basic routine of forex and ways to practice. I try to wake up early as I’m on the Pacific Coast so I get up 2 hours early before I have to head to work. 20-30 mins of this time I do something related to forex education. The rest of the time I gather my foundation for the week and arrange goals / meditate/ journal. I’ll look at the charts, when I still had Babypips to finish I’d set a time and study through what I could of the course through that time. Now that I’m finished I’ll either check this sub, watch a video/podcast or try to read something related fundamentally to trading or finance. (I’d like to get some more book ideas about trading and it’s psychology) So that’s one habit. You’ve got to be able to at least schedule 20-45 minutes a day to consistent study + practice time to acquire new skills. 20 minutes uninterrupted is enough. Wake up early if you have to. Then throughout the day you’ll find time to reflect or research more and soon the time will start to add up. This also works on the other extreme too. If you have alot of free time I’d say starting out 1 hour to 2 hours max is what you should dedicate to studying. Forex is a very mentally fatiguing process skill. You’ve got to let your brain recharge (need those MP potions it seems) the whole currency system is heavy and complex enough that starting from scratch you couldn’t learn everything in 24 hours straight. I’d say even a week straight wouldn’t work. It takes time and a habitual familiarity. It’s not dissimilar to learning a language. Where concepts become stacked on a foundation of understanding to be acted upon through your day to day. Even if you can name all the working parts, experience build with how much time you think in that language per day. There’s a reason I chose the word “Immersion” for my second topic. Moving along. Another part of my routine is backtesting 40-50 trades a week of my strongest system. This equates to a little under 10 trades a day. I completely journal and track profits like they were live. Some suggest using a simulator, while that is a great practice for timing entries, I’ve found just using the Metatrader 4 Desktop and using the F12 key to progress forward one tick at a time has been sufficient for my backtesting needs. Backtesting gives you an opportunity to practice way more trades in a week than live session will be able to provide. I’m using M15 - H1 intraday strategies and maybe pull off 5-6 trades a week. BUT I practice 10x that amount per week. Soon you’ll find your live performance is really only a display of how your last week backtesting went. It’s like football practice for the gameday. Now which system I test varies, like I said I’ll try my strongest, but that changes. Just grab any system you think you can pull off and backtest it. Babypips gave me my first few, then I created some ridiculous ones, but over time your experience of a system and how to get them to work for you grows by running test trades. Systems I’ve found and backtested that are online are: the “So Easy It’s Ridiculous” system and the Cowabunga System, both found on babypips and a simple google search. Easy. I know, and really a system is just supposed to make having trading decisions easier for you. But your participation and exit are equally important. Can you follow easy rules you or others make? No questions asked?
So that concludes my post. I hope in the future when I’ve backtested 1,000 trades I can post some of my personal systems I’ve followed, right now they feel to amateur to even share. I am the humble fool, so any ideas on my style or feedback on where I should head are greatly appreciated. I’m open to questions and dialogue so feel free to send a PM or comment. Hearing from other traders is the reason I even started this account to post and interact. This post and future ones I have planned are kind of a new element I wanted to try of journaling that allows me some social accountability and feedback from a community rather than all my entries being hoarded in my notebooks, so my apologies if it’s more wordy than usual on here. Thanks everyone and have fun!
-AP
TL:DR Just browse over the bold sections
submitted by AzathothsPips to Forex [link] [comments]

free forex Trading signals and High Tight Flag Trading Tips

free forex Trading signals and Trading Tips
Prices should climb at least 90% in two months or less.
After the rise, find a place where prices pause—a congestion or consolidation area.
the rules for buying after High, Tight Flag
Wait for price to close above the upper trendline or above the pattern high if the pattern has no top trendline
Buy the stock. Place a stop below the prior valley, below the pattern itself, or use a volatility stop. With this pattern, the most important rule is to wait for an upward breakout.
In a test of 78 High, Tight Flag , I found 13 patterns that broke out downward. That might not sound like much until a failure happens to you. Save your bucks and wait for the upward breakout. The hardest thing to do when trading High, Tight Flag is to buy the stock. Chances are the forex is near the yearly high after doubling in price. How much higher can it possibly go? Buy in and find out! Remember, High, Tight Flag have the lowest failure rate and highest average gain of any chart pattern. Your selection may prove the exception and fail, so place a stop loss
order below the valley nearest the breakout. This may be below the High, Tight Flag itself. Check to make sure the stop is not too close. You don’t want volatility to stop you out. Later in the book, I review two High, Tight Flag trades, one where I stole two grand from someone and another in which they stole it back . . . with interest.
When identifying or forex trading signals High, Tight Flag , what should you look for or avoid? Here is a list:
Avoid overhead resistance that may cause a throwback. High, Tight Flag with throwbacks rise just 49%, but the rise averages 100% for patterns without throwbacks.
www.freeforex-signals.com
free forex signals presents forex trading signals via SMS , Email and WhatsApp for Free

submitted by frees2020 to u/frees2020 [link] [comments]

Subreddit Stats: cs7646_fall2017 top posts from 2017-08-23 to 2017-12-10 22:43 PDT

Period: 108.98 days
Submissions Comments
Total 999 10425
Rate (per day) 9.17 95.73
Unique Redditors 361 695
Combined Score 4162 17424

Top Submitters' Top Submissions

  1. 296 points, 24 submissions: tuckerbalch
    1. Project 2 Megathread (optimize_something) (33 points, 475 comments)
    2. project 3 megathread (assess_learners) (27 points, 1130 comments)
    3. For online students: Participation check #2 (23 points, 47 comments)
    4. ML / Data Scientist internship and full time job opportunities (20 points, 36 comments)
    5. Advance information on Project 3 (19 points, 22 comments)
    6. participation check #3 (19 points, 29 comments)
    7. manual_strategy project megathread (17 points, 825 comments)
    8. project 4 megathread (defeat_learners) (15 points, 209 comments)
    9. project 5 megathread (marketsim) (15 points, 484 comments)
    10. QLearning Robot project megathread (12 points, 691 comments)
  2. 278 points, 17 submissions: davebyrd
    1. A little more on Pandas indexing/slicing ([] vs ix vs iloc vs loc) and numpy shapes (37 points, 10 comments)
    2. Project 1 Megathread (assess_portfolio) (34 points, 466 comments)
    3. marketsim grades are up (25 points, 28 comments)
    4. Midterm stats (24 points, 32 comments)
    5. Welcome to CS 7646 MLT! (23 points, 132 comments)
    6. How to interact with TAs, discuss grades, performance, request exceptions... (18 points, 31 comments)
    7. assess_portfolio grades have been released (18 points, 34 comments)
    8. Midterm grades posted to T-Square (15 points, 30 comments)
    9. Removed posts (15 points, 2 comments)
    10. assess_portfolio IMPORTANT README: about sample frequency (13 points, 26 comments)
  3. 118 points, 17 submissions: yokh_cs7646
    1. Exam 2 Information (39 points, 40 comments)
    2. Reformat Assignment Pages? (14 points, 2 comments)
    3. What did the real-life Michael Burry have to say? (13 points, 2 comments)
    4. PSA: Read the Rubric carefully and ahead-of-time (8 points, 15 comments)
    5. How do I know that I'm correct and not just lucky? (7 points, 31 comments)
    6. ML Papers and News (7 points, 5 comments)
    7. What are "question pools"? (6 points, 4 comments)
    8. Explanation of "Regression" (5 points, 5 comments)
    9. GT Github taking FOREVER to push to..? (4 points, 14 comments)
    10. Dead links on the course wiki (3 points, 2 comments)
  4. 67 points, 13 submissions: harshsikka123
    1. To all those struggling, some words of courage! (20 points, 18 comments)
    2. Just got locked out of my apartment, am submitting from a stairwell (19 points, 12 comments)
    3. Thoroughly enjoying the lectures, some of the best I've seen! (13 points, 13 comments)
    4. Just for reference, how long did Assignment 1 take you all to implement? (3 points, 31 comments)
    5. Grade_Learners Taking about 7 seconds on Buffet vs 5 on Local, is this acceptable if all tests are passing? (2 points, 2 comments)
    6. Is anyone running into the Runtime Error, Invalid DISPLAY variable when trying to save the figures as pdfs to the Buffet servers? (2 points, 9 comments)
    7. Still not seeing an ML4T onboarding test on ProctorTrack (2 points, 10 comments)
    8. Any news on when Optimize_Something grades will be released? (1 point, 1 comment)
    9. Baglearner RMSE and leaf size? (1 point, 2 comments)
    10. My results are oh so slightly off, any thoughts? (1 point, 11 comments)
  5. 63 points, 10 submissions: htrajan
    1. Sample test case: missing data (22 points, 36 comments)
    2. Optimize_something test cases (13 points, 22 comments)
    3. Met Burt Malkiel today (6 points, 1 comment)
    4. Heads up: Dataframe.std != np.std (5 points, 5 comments)
    5. optimize_something: graph (5 points, 29 comments)
    6. Schedule still reflecting shortened summer timeframe? (4 points, 3 comments)
    7. Quick clarification about InsaneLearner (3 points, 8 comments)
    8. Test cases using rfr? (3 points, 5 comments)
    9. Input format of rfr (2 points, 1 comment)
    10. [Shameless recruiting post] Wealthfront is hiring! (0 points, 9 comments)
  6. 62 points, 7 submissions: swamijay
    1. defeat_learner test case (34 points, 38 comments)
    2. Project 3 test cases (15 points, 27 comments)
    3. Defeat_Learner - related questions (6 points, 9 comments)
    4. Options risk/reward (2 points, 0 comments)
    5. manual strategy - you must remain in the position for 21 trading days. (2 points, 9 comments)
    6. standardizing values (2 points, 0 comments)
    7. technical indicators - period for moving averages, or anything that looks past n days (1 point, 3 comments)
  7. 61 points, 9 submissions: gatech-raleighite
    1. Protip: Better reddit search (22 points, 9 comments)
    2. Helpful numpy array cheat sheet (16 points, 10 comments)
    3. In your experience Professor, Mr. Byrd, which strategy is "best" for trading ? (12 points, 10 comments)
    4. Industrial strength or mature versions of the assignments ? (4 points, 2 comments)
    5. What is the correct (faster) way of doing this bit of pandas code (updating multiple slice values) (2 points, 10 comments)
    6. What is the correct (pythonesque?) way to select 60% of rows ? (2 points, 11 comments)
    7. How to get adjusted close price for funds not publicly traded (TSP) ? (1 point, 2 comments)
    8. Is there a way to only test one or 2 of the learners using grade_learners.py ? (1 point, 10 comments)
    9. OMS CS Digital Career Seminar Series - Scott Leitstein recording available online? (1 point, 4 comments)
  8. 60 points, 2 submissions: reyallan
    1. [Project Questions] Unit Tests for assess_portfolio assignment (58 points, 52 comments)
    2. Financial data, technical indicators and live trading (2 points, 8 comments)
  9. 59 points, 12 submissions: dyllll
    1. Please upvote helpful posts and other advice. (26 points, 1 comment)
    2. Books to further study in trading with machine learning? (14 points, 9 comments)
    3. Is Q-Learning the best reinforcement learning method for stock trading? (4 points, 4 comments)
    4. Any way to download the lessons? (3 points, 4 comments)
    5. Can a TA please contact me? (2 points, 7 comments)
    6. Is the vectorization code from the youtube video available to us? (2 points, 2 comments)
    7. Position of webcam (2 points, 15 comments)
    8. Question about assignment one (2 points, 5 comments)
    9. Are udacity quizzes recorded? (1 point, 2 comments)
    10. Does normalization of indicators matter in a Q-Learner? (1 point, 7 comments)
  10. 56 points, 2 submissions: jan-laszlo
    1. Proper git workflow (43 points, 19 comments)
    2. Adding you SSH key for password-less access to remote hosts (13 points, 7 comments)
  11. 53 points, 1 submission: agifft3_omscs
    1. [Project Questions] Unit Tests for optimize_something assignment (53 points, 94 comments)
  12. 50 points, 16 submissions: BNielson
    1. Regression Trees (7 points, 9 comments)
    2. Two Interpretations of RFR are leading to two different possible Sharpe Ratios -- Need Instructor clarification ASAP (5 points, 3 comments)
    3. PYTHONPATH=../:. python grade_analysis.py (4 points, 7 comments)
    4. Running on Windows and PyCharm (4 points, 4 comments)
    5. Studying for the midterm: python questions (4 points, 0 comments)
    6. Assess Learners Grader (3 points, 2 comments)
    7. Manual Strategy Grade (3 points, 2 comments)
    8. Rewards in Q Learning (3 points, 3 comments)
    9. SSH/Putty on Windows (3 points, 4 comments)
    10. Slight contradiction on ProctorTrack Exam (3 points, 4 comments)
  13. 49 points, 7 submissions: j0shj0nes
    1. QLearning Robot - Finalized and Released Soon? (18 points, 4 comments)
    2. Flash Boys, HFT, frontrunning... (10 points, 3 comments)
    3. Deprecations / errata (7 points, 5 comments)
    4. Udacity lectures via GT account, versus personal account (6 points, 2 comments)
    5. Python: console-driven development (5 points, 5 comments)
    6. Buffet pandas / numpy versions (2 points, 2 comments)
    7. Quant research on earnings calls (1 point, 0 comments)
  14. 45 points, 11 submissions: Zapurza
    1. Suggestion for Strategy learner mega thread. (14 points, 1 comment)
    2. Which lectures to watch for upcoming project q learning robot? (7 points, 5 comments)
    3. In schedule file, there is no link against 'voting ensemble strategy'? Scheduled for Nov 13-20 week (6 points, 3 comments)
    4. How to add questions to the question bank? I can see there is 2% credit for that. (4 points, 5 comments)
    5. Scratch paper use (3 points, 6 comments)
    6. The big short movie link on you tube says the video is not available in your country. (3 points, 9 comments)
    7. Distance between training data date and future forecast date (2 points, 2 comments)
    8. News affecting stock market and machine learning algorithms (2 points, 4 comments)
    9. pandas import in pydev (2 points, 0 comments)
    10. Assess learner server error (1 point, 2 comments)
  15. 43 points, 23 submissions: chvbs2000
    1. Is the Strategy Learner finalized? (10 points, 3 comments)
    2. Test extra 15 test cases for marketsim (3 points, 12 comments)
    3. Confusion between the term computing "back-in time" and "going forward" (2 points, 1 comment)
    4. How to define "each transaction"? (2 points, 4 comments)
    5. How to filling the assignment into Jupyter Notebook? (2 points, 4 comments)
    6. IOError: File ../data/SPY.csv does not exist (2 points, 4 comments)
    7. Issue in Access to machines at Georgia Tech via MacOS terminal (2 points, 5 comments)
    8. Reading data from Jupyter Notebook (2 points, 3 comments)
    9. benchmark vs manual strategy vs best possible strategy (2 points, 2 comments)
    10. global name 'pd' is not defined (2 points, 4 comments)
  16. 43 points, 15 submissions: shuang379
    1. How to test my code on buffet machine? (10 points, 15 comments)
    2. Can we get the ppt for "Decision Trees"? (8 points, 2 comments)
    3. python question pool question (5 points, 6 comments)
    4. set up problems (3 points, 4 comments)
    5. Do I need another camera for scanning? (2 points, 9 comments)
    6. Is chapter 9 covered by the midterm? (2 points, 2 comments)
    7. Why grade_analysis.py could run even if I rm analysis.py? (2 points, 5 comments)
    8. python question pool No.48 (2 points, 6 comments)
    9. where could we find old versions of the rest projects? (2 points, 2 comments)
    10. where to put ml4t-libraries to install those libraries? (2 points, 1 comment)
  17. 42 points, 14 submissions: larrva
    1. is there a mistake in How-to-learn-a-decision-tree.pdf (7 points, 7 comments)
    2. maximum recursion depth problem (6 points, 10 comments)
    3. [Urgent]Unable to use proctortrack in China (4 points, 21 comments)
    4. manual_strategynumber of indicators to use (3 points, 10 comments)
    5. Assignment 2: Got 63 points. (3 points, 3 comments)
    6. Software installation workshop (3 points, 7 comments)
    7. question regarding functools32 version (3 points, 3 comments)
    8. workshop on Aug 31 (3 points, 8 comments)
    9. Mount remote server to local machine (2 points, 2 comments)
    10. any suggestion on objective function (2 points, 3 comments)
  18. 41 points, 8 submissions: Ran__Ran
    1. Any resource will be available for final exam? (19 points, 6 comments)
    2. Need clarification on size of X, Y in defeat_learners (7 points, 10 comments)
    3. Get the same date format as in example chart (4 points, 3 comments)
    4. Cannot log in GitHub Desktop using GT account? (3 points, 3 comments)
    5. Do we have notes or ppt for Time Series Data? (3 points, 5 comments)
    6. Can we know the commission & market impact for short example? (2 points, 7 comments)
    7. Course schedule export issue (2 points, 15 comments)
    8. Buying/seeking beta v.s. buying/seeking alpha (1 point, 6 comments)
  19. 38 points, 4 submissions: ProudRamblinWreck
    1. Exam 2 Study topics (21 points, 5 comments)
    2. Reddit participation as part of grade? (13 points, 32 comments)
    3. Will birds chirping in the background flag me on Proctortrack? (3 points, 5 comments)
    4. Midterm Study Guide question pools (1 point, 2 comments)
  20. 37 points, 6 submissions: gatechben
    1. Submission page for strategy learner? (14 points, 10 comments)
    2. PSA: The grading script for strategy_learner changed on the 26th (10 points, 9 comments)
    3. Where is util.py supposed to be located? (8 points, 8 comments)
    4. PSA:. The default dates in the assignment 1 template are not the same as the examples on the assignment page. (2 points, 1 comment)
    5. Schedule: Discussion of upcoming trading projects? (2 points, 3 comments)
    6. [defeat_learners] More than one column for X? (1 point, 1 comment)
  21. 37 points, 3 submissions: jgeiger
    1. Please send/announce when changes are made to the project code (23 points, 7 comments)
    2. The Big Short on Netflix for OMSCS students (week of 10/16) (11 points, 6 comments)
    3. Typo(?) for Assess_portfolio wiki page (3 points, 2 comments)
  22. 35 points, 10 submissions: ltian35
    1. selecting row using .ix (8 points, 9 comments)
    2. Will the following 2 topics be included in the final exam(online student)? (7 points, 4 comments)
    3. udacity quiz (7 points, 4 comments)
    4. pdf of lecture (3 points, 4 comments)
    5. print friendly version of the course schedule (3 points, 9 comments)
    6. about learner regression vs classificaiton (2 points, 2 comments)
    7. is there a simple way to verify the correctness of our decision tree (2 points, 4 comments)
    8. about Building an ML-based forex strategy (1 point, 2 comments)
    9. about technical analysis (1 point, 6 comments)
    10. final exam online time period (1 point, 2 comments)
  23. 33 points, 2 submissions: bhrolenok
    1. Assess learners template and grading script is now available in the public repository (24 points, 0 comments)
    2. Tutorial for software setup on Windows (9 points, 35 comments)
  24. 31 points, 4 submissions: johannes_92
    1. Deadline extension? (26 points, 40 comments)
    2. Pandas date indexing issues (2 points, 5 comments)
    3. Why do we subtract 1 from SMA calculation? (2 points, 3 comments)
    4. Unexpected number of calls to query, sum=20 (should be 20), max=20 (should be 1), min=20 (should be 1) -bash: syntax error near unexpected token `(' (1 point, 3 comments)
  25. 30 points, 5 submissions: log_base_pi
    1. The Massive Hedge Fund Betting on AI [Article] (9 points, 1 comment)
    2. Useful Python tips and tricks (8 points, 10 comments)
    3. Video of overview of remaining projects with Tucker Balch (7 points, 1 comment)
    4. Will any material from the lecture by Goldman Sachs be covered on the exam? (5 points, 1 comment)
    5. What will the 2nd half of the course be like? (1 point, 8 comments)
  26. 30 points, 4 submissions: acschwabe
    1. Assignment and Exam Calendar (ICS File) (17 points, 6 comments)
    2. Please OMG give us any options for extra credit (8 points, 12 comments)
    3. Strategy learner question (3 points, 1 comment)
    4. Proctortrack: Do we need to schedule our test time? (2 points, 10 comments)
  27. 29 points, 9 submissions: _ant0n_
    1. Next assignment? (9 points, 6 comments)
    2. Proctortrack Onboarding test? (6 points, 11 comments)
    3. Manual strategy: Allowable positions (3 points, 7 comments)
    4. Anyone watched Black Scholes documentary? (2 points, 16 comments)
    5. Buffet machines hardware (2 points, 6 comments)
    6. Defeat learners: clarification (2 points, 4 comments)
    7. Is 'optimize_something' on the way to class GitHub repo? (2 points, 6 comments)
    8. assess_portfolio(... gen_plot=True) (2 points, 8 comments)
    9. remote job != remote + international? (1 point, 15 comments)
  28. 26 points, 10 submissions: umersaalis
    1. comments.txt (7 points, 6 comments)
    2. Assignment 2: report.pdf (6 points, 30 comments)
    3. Assignment 2: report.pdf sharing & plagiarism (3 points, 12 comments)
    4. Max Recursion Limit (3 points, 10 comments)
    5. Parametric vs Non-Parametric Model (3 points, 13 comments)
    6. Bag Learner Training (1 point, 2 comments)
    7. Decision Tree Issue: (1 point, 2 comments)
    8. Error in Running DTLearner and RTLearner (1 point, 12 comments)
    9. My Results for the four learners. Please check if you guys are getting values somewhat near to these. Exact match may not be there due to randomization. (1 point, 4 comments)
    10. Can we add the assignments and solutions to our public github profile? (0 points, 7 comments)
  29. 26 points, 6 submissions: abiele
    1. Recommended Reading? (13 points, 1 comment)
    2. Number of Indicators Used by Actual Trading Systems (7 points, 6 comments)
    3. Software Install Instructions From TA's Video Not Working (2 points, 2 comments)
    4. Suggest that TA/Instructor Contact Info Should be Added to the Syllabus (2 points, 2 comments)
    5. ML4T Software Setup (1 point, 3 comments)
    6. Where can I find the grading folder? (1 point, 4 comments)
  30. 26 points, 6 submissions: tomatonight
    1. Do we have all the information needed to finish the last project Strategy learner? (15 points, 3 comments)
    2. Does anyone interested in cryptocurrency trading/investing/others? (3 points, 6 comments)
    3. length of portfolio daily return (3 points, 2 comments)
    4. Did Michael Burry, Jamie&Charlie enter the short position too early? (2 points, 4 comments)
    5. where to check participation score (2 points, 1 comment)
    6. Where to collect the midterm exam? (forgot to take it last week) (1 point, 3 comments)
  31. 26 points, 3 submissions: hilo260
    1. Is there a template for optimize_something on GitHub? (14 points, 3 comments)
    2. Marketism project? (8 points, 6 comments)
    3. "Do not change the API" (4 points, 7 comments)
  32. 26 points, 3 submissions: niufen
    1. Windows Server Setup Guide (23 points, 16 comments)
    2. Strategy Learner Adding UserID as Comment (2 points, 2 comments)
    3. Connect to server via Python Error (1 point, 6 comments)
  33. 26 points, 3 submissions: whoyoung99
    1. How much time you spend on Assess Learner? (13 points, 47 comments)
    2. Git clone repository without fork (8 points, 2 comments)
    3. Just for fun (5 points, 1 comment)
  34. 25 points, 8 submissions: SharjeelHanif
    1. When can we discuss defeat learners methods? (10 points, 1 comment)
    2. Are the buffet servers really down? (3 points, 2 comments)
    3. Are the midterm results in proctortrack gone? (3 points, 3 comments)
    4. Will these finance topics be covered on the final? (3 points, 9 comments)
    5. Anyone get set up with Proctortrack? (2 points, 10 comments)
    6. Incentives Quiz Discussion (2-01, Lesson 11.8) (2 points, 3 comments)
    7. Anyone from Houston, TX (1 point, 1 comment)
    8. How can I trace my error back to a line of code? (assess learners) (1 point, 3 comments)
  35. 25 points, 5 submissions: jlamberts3
    1. Conda vs VirtualEnv (7 points, 8 comments)
    2. Cool Portfolio Backtesting Tool (6 points, 6 comments)
    3. Warren Buffett wins $1M bet made a decade ago that the S&P 500 stock index would outperform hedge funds (6 points, 12 comments)
    4. Windows Ubuntu Subsystem Putty Alternative (4 points, 0 comments)
    5. Algorithmic Trading Of Digital Assets (2 points, 0 comments)
  36. 25 points, 4 submissions: suman_paul
    1. Grade statistics (9 points, 3 comments)
    2. Machine Learning book by Mitchell (6 points, 11 comments)
    3. Thank You (6 points, 6 comments)
    4. Assignment1 ready to be cloned? (4 points, 4 comments)
  37. 25 points, 3 submissions: Spareo
    1. Submit Assignments Function (OS X/Linux) (15 points, 6 comments)
    2. Quantsoftware Site down? (8 points, 38 comments)
    3. ML4T_2017Spring folder on Buffet server?? (2 points, 5 comments)
  38. 24 points, 14 submissions: nelsongcg
    1. Is it realistic for us to try to build our own trading bot and profit? (6 points, 21 comments)
    2. Is the risk free rate zero for any country? (3 points, 7 comments)
    3. Models and black swans - discussion (3 points, 0 comments)
    4. Normal distribution assumption for options pricing (2 points, 3 comments)
    5. Technical analysis for cryptocurrency market? (2 points, 4 comments)
    6. A counter argument to models by Nassim Taleb (1 point, 0 comments)
    7. Are we demandas to use the sample for part 1? (1 point, 1 comment)
    8. Benchmark for "trusting" your trading algorithm (1 point, 5 comments)
    9. Don't these two statements on the project description contradict each other? (1 point, 2 comments)
    10. Forgot my TA (1 point, 6 comments)
  39. 24 points, 11 submissions: nurobezede
    1. Best way to obtain survivor bias free stock data (8 points, 1 comment)
    2. Please confirm Midterm is from October 13-16 online with proctortrack. (5 points, 2 comments)
    3. Are these DTlearner Corr values good? (2 points, 6 comments)
    4. Testing gen_data.py (2 points, 3 comments)
    5. BagLearner of Baglearners says 'Object is not callable' (1 point, 8 comments)
    6. DTlearner training RMSE none zero but almost there (1 point, 2 comments)
    7. How to submit analysis using git and confirm it? (1 point, 2 comments)
    8. Passing kwargs to learners in a BagLearner (1 point, 5 comments)
    9. Sampling for bagging tree (1 point, 8 comments)
    10. code failing the 18th test with grade_learners.py (1 point, 6 comments)
  40. 24 points, 4 submissions: AeroZach
    1. questions about how to build a machine learning system that's going to work well in a real market (12 points, 6 comments)
    2. Survivor Bias Free Data (7 points, 5 comments)
    3. Genetic Algorithms for Feature selection (3 points, 5 comments)
    4. How far back can you train? (2 points, 2 comments)
  41. 23 points, 9 submissions: vsrinath6
    1. Participation check #3 - Haven't seen it yet (5 points, 5 comments)
    2. What are the tasks for this week? (5 points, 12 comments)
    3. No projects until after the mid-term? (4 points, 5 comments)
    4. Format / Syllabus for the exams (2 points, 3 comments)
    5. Has there been a Participation check #4? (2 points, 8 comments)
    6. Project 3 not visible on T-Square (2 points, 3 comments)
    7. Assess learners - do we need to check is method implemented for BagLearner? (1 point, 4 comments)
    8. Correct number of days reported in the dataframe (should be the number of trading days between the start date and end date, inclusive). (1 point, 0 comments)
    9. RuntimeError: Invalid DISPLAY variable (1 point, 2 comments)
  42. 23 points, 8 submissions: nick_algorithm
    1. Help with getting Average Daily Return Right (6 points, 7 comments)
    2. Hint for args argument in scipy minimize (5 points, 2 comments)
    3. How do you make money off of highly volatile (high SDDR) stocks? (4 points, 5 comments)
    4. Can We Use Code Obtained from Class To Make Money without Fear of Being Sued (3 points, 6 comments)
    5. Is the Std for Bollinger Bands calculated over the same timespan of the Moving Average? (2 points, 2 comments)
    6. Can't run grade_learners.py but I'm not doing anything different from the last assignment (?) (1 point, 5 comments)
    7. How to determine value at terminal node of tree? (1 point, 1 comment)
    8. Is there a way to get Reddit announcements piped to email (or have a subsequent T-Square announcement published simultaneously) (1 point, 2 comments)
  43. 23 points, 1 submission: gong6
    1. Is manual strategy ready? (23 points, 6 comments)
  44. 21 points, 6 submissions: amchang87
    1. Reason for public reddit? (6 points, 4 comments)
    2. Manual Strategy - 21 day holding Period (4 points, 12 comments)
    3. Sharpe Ratio (4 points, 6 comments)
    4. Manual Strategy - No Position? (3 points, 3 comments)
    5. ML / Manual Trader Performance (2 points, 0 comments)
    6. T-Square Submission Missing? (2 points, 3 comments)
  45. 21 points, 6 submissions: fall2017_ml4t_cs_god
    1. PSA: When typing in code, please use 'formatting help' to see how to make the code read cleaner. (8 points, 2 comments)
    2. Why do Bollinger Bands use 2 standard deviations? (5 points, 20 comments)
    3. How do I log into the [email protected]? (3 points, 1 comment)
    4. Is midterm 2 cumulative? (2 points, 3 comments)
    5. Where can we learn about options? (2 points, 2 comments)
    6. How do you calculate the analysis statistics for bps and manual strategy? (1 point, 1 comment)
  46. 21 points, 5 submissions: Jmitchell83
    1. Manual Strategy Grades (12 points, 9 comments)
    2. two-factor (3 points, 6 comments)
    3. Free to use volume? (2 points, 1 comment)
    4. Is MC1-Project-1 different than assess_portfolio? (2 points, 2 comments)
    5. Online Participation Checks (2 points, 4 comments)
  47. 21 points, 5 submissions: Sergei_B
    1. Do we need to worry about missing data for Asset Portfolio? (14 points, 13 comments)
    2. How do you get data from yahoo in panda? the sample old code is below: (2 points, 3 comments)
    3. How to fix import pandas as pd ImportError: No module named pandas? (2 points, 4 comments)
    4. Python Practice exam Question 48 (2 points, 2 comments)
    5. Mac: "virtualenv : command not found" (1 point, 2 comments)
  48. 21 points, 3 submissions: mharrow3
    1. First time reddit user .. (17 points, 37 comments)
    2. Course errors/types (2 points, 2 comments)
    3. Install course software on macOS using Vagrant .. (2 points, 0 comments)
  49. 20 points, 9 submissions: iceguyvn
    1. Manual strategy implementation for future projects (4 points, 15 comments)
    2. Help with correlation calculation (3 points, 15 comments)
    3. Help! maximum recursion depth exceeded (3 points, 10 comments)
    4. Help: how to index by date? (2 points, 4 comments)
    5. How to attach a 1D array to a 2D array? (2 points, 2 comments)
    6. How to set a single cell in a 2D DataFrame? (2 points, 4 comments)
    7. Next assignment after marketsim? (2 points, 4 comments)
    8. Pythonic way to detect the first row? (1 point, 6 comments)
    9. Questions regarding seed (1 point, 1 comment)
  50. 20 points, 3 submissions: JetsonDavis
    1. Push back assignment 3? (10 points, 14 comments)
    2. Final project (9 points, 3 comments)
    3. Numpy versions (1 point, 2 comments)
  51. 20 points, 2 submissions: pharmerino
    1. assess_portfolio test cases (16 points, 88 comments)
    2. ML4T Assignments (4 points, 6 comments)

Top Commenters

  1. tuckerbalch (2296 points, 1185 comments)
  2. davebyrd (1033 points, 466 comments)
  3. yokh_cs7646 (320 points, 177 comments)
  4. rgraziano3 (266 points, 147 comments)
  5. j0shj0nes (264 points, 148 comments)
  6. i__want__piazza (236 points, 127 comments)
  7. swamijay (227 points, 116 comments)
  8. _ant0n_ (205 points, 149 comments)
  9. ml4tstudent (204 points, 117 comments)
  10. gatechben (179 points, 107 comments)
  11. BNielson (176 points, 108 comments)
  12. jameschanx (176 points, 94 comments)
  13. Artmageddon (167 points, 83 comments)
  14. htrajan (162 points, 81 comments)
  15. boyko11 (154 points, 99 comments)
  16. alyssa_p_hacker (146 points, 80 comments)
  17. log_base_pi (141 points, 80 comments)
  18. Ran__Ran (139 points, 99 comments)
  19. johnsmarion (136 points, 86 comments)
  20. jgorman30_gatech (135 points, 102 comments)
  21. dyllll (125 points, 91 comments)
  22. MikeLachmayr (123 points, 95 comments)
  23. awhoof (113 points, 72 comments)
  24. SharjeelHanif (106 points, 59 comments)
  25. larrva (101 points, 69 comments)
  26. augustinius (100 points, 52 comments)
  27. oimesbcs (99 points, 67 comments)
  28. vansh21k (98 points, 62 comments)
  29. W1redgh0st (97 points, 70 comments)
  30. ybai67 (96 points, 41 comments)
  31. JuanCarlosKuriPinto (95 points, 54 comments)
  32. acschwabe (93 points, 58 comments)
  33. pharmerino (92 points, 47 comments)
  34. jgeiger (91 points, 28 comments)
  35. Zapurza (88 points, 70 comments)
  36. jyoms (87 points, 55 comments)
  37. omscs_zenan (87 points, 44 comments)
  38. nurobezede (85 points, 64 comments)
  39. BelaZhu (83 points, 50 comments)
  40. jason_gt (82 points, 36 comments)
  41. shuang379 (81 points, 64 comments)
  42. ggatech (81 points, 51 comments)
  43. nitinkodial_gatech (78 points, 59 comments)
  44. harshsikka123 (77 points, 55 comments)
  45. bkeenan7 (76 points, 49 comments)
  46. moxyll (76 points, 32 comments)
  47. nelsongcg (75 points, 53 comments)
  48. nickzelei (75 points, 41 comments)
  49. hunter2omscs (74 points, 29 comments)
  50. pointblank41 (73 points, 36 comments)
  51. zheweisun (66 points, 48 comments)
  52. bs_123 (66 points, 36 comments)
  53. storytimeuva (66 points, 36 comments)
  54. sva6 (66 points, 31 comments)
  55. bhrolenok (66 points, 27 comments)
  56. lingkaizuo (63 points, 46 comments)
  57. Marvel_this (62 points, 36 comments)
  58. agifft3_omscs (62 points, 35 comments)
  59. ssung40 (61 points, 47 comments)
  60. amchang87 (61 points, 32 comments)
  61. joshuak_gatech (61 points, 30 comments)
  62. fall2017_ml4t_cs_god (60 points, 50 comments)
  63. ccrouch8 (60 points, 45 comments)
  64. nick_algorithm (60 points, 29 comments)
  65. JetsonDavis (59 points, 35 comments)
  66. yjacket103 (58 points, 36 comments)
  67. hilo260 (58 points, 29 comments)
  68. coolwhip1234 (58 points, 15 comments)
  69. chvbs2000 (57 points, 49 comments)
  70. suman_paul (57 points, 29 comments)
  71. masterm (57 points, 23 comments)
  72. RolfKwakkelaar (55 points, 32 comments)
  73. rpb3 (55 points, 23 comments)
  74. venkatesh8 (54 points, 30 comments)
  75. omscs_avik (53 points, 37 comments)
  76. bman8810 (52 points, 31 comments)
  77. snladak (51 points, 31 comments)
  78. dfihn3 (50 points, 43 comments)
  79. mlcrypto (50 points, 32 comments)
  80. omscs-student (49 points, 26 comments)
  81. NellVega (48 points, 32 comments)
  82. booglespace (48 points, 23 comments)
  83. ccortner3 (48 points, 23 comments)
  84. caa5042 (47 points, 34 comments)
  85. gcalma3 (47 points, 25 comments)
  86. krushnatmore (44 points, 32 comments)
  87. sn_48 (43 points, 22 comments)
  88. thenewprofessional (43 points, 16 comments)
  89. urider (42 points, 33 comments)
  90. gatech-raleighite (42 points, 30 comments)
  91. chrisong2017 (41 points, 26 comments)
  92. ProudRamblinWreck (41 points, 24 comments)
  93. kramey8 (41 points, 24 comments)
  94. coderafk (40 points, 28 comments)
  95. niufen (40 points, 23 comments)
  96. tholladay3 (40 points, 23 comments)
  97. SaberCrunch (40 points, 22 comments)
  98. gnr11 (40 points, 21 comments)
  99. nadav3 (40 points, 18 comments)
  100. gt7431a (40 points, 16 comments)

Top Submissions

  1. [Project Questions] Unit Tests for assess_portfolio assignment by reyallan (58 points, 52 comments)
  2. [Project Questions] Unit Tests for optimize_something assignment by agifft3_omscs (53 points, 94 comments)
  3. Proper git workflow by jan-laszlo (43 points, 19 comments)
  4. Exam 2 Information by yokh_cs7646 (39 points, 40 comments)
  5. A little more on Pandas indexing/slicing ([] vs ix vs iloc vs loc) and numpy shapes by davebyrd (37 points, 10 comments)
  6. Project 1 Megathread (assess_portfolio) by davebyrd (34 points, 466 comments)
  7. defeat_learner test case by swamijay (34 points, 38 comments)
  8. Project 2 Megathread (optimize_something) by tuckerbalch (33 points, 475 comments)
  9. project 3 megathread (assess_learners) by tuckerbalch (27 points, 1130 comments)
  10. Deadline extension? by johannes_92 (26 points, 40 comments)

Top Comments

  1. 34 points: jgeiger's comment in QLearning Robot project megathread
  2. 31 points: coolwhip1234's comment in QLearning Robot project megathread
  3. 30 points: tuckerbalch's comment in Why Professor is usually late for class?
  4. 23 points: davebyrd's comment in Deadline extension?
  5. 20 points: jason_gt's comment in What would be a good quiz question regarding The Big Short?
  6. 19 points: yokh_cs7646's comment in For online students: Participation check #2
  7. 17 points: i__want__piazza's comment in project 3 megathread (assess_learners)
  8. 17 points: nathakhanh2's comment in Project 2 Megathread (optimize_something)
  9. 17 points: pharmerino's comment in Midterm study Megathread
  10. 17 points: tuckerbalch's comment in Midterm grades posted to T-Square
Generated with BBoe's Subreddit Stats (Donate)
submitted by subreddit_stats to subreddit_stats [link] [comments]

Best FREE Forex, Stocks, and Crypto Scanner! - YouTube How to Get Started with Free Forex Backtesting Software ... Soft4Fx: The Forex Best Backtesting Software Thus Far ... Review of MarketInOut: A Forex and Stocks Backtesting and Screening Tool Forex trading - How to use a spreadsheet for backtesting ... How To Backtest Forex Trading Strategies Python Charting Stocks/Forex for Technical Analysis Part 1 ...

Web-Based Backtesting Forex Simulator Trading Strategy Analytics Try it Free Backtesting Watch Intro Forex Simulator. Develop profitable trading strategies. Whether you want to learn forex trading or to improve a trading strategy. You need the right tools to succeed. We see demo-trading provided by most brokerage firms as a trap. Our team is determined to reveal and resolve the problems with ... Free Backtesting Tools for the Programmer . For quick backtests of custom strategies, I recommend just downloading some historical data and testing it in Excel or another spreadsheet first. More sophisticated trading strategies will call for GNU R or GNU Octave, both of which have specialized packages for backtesting. If these still don’t cut ... Four Free Backtesting Sites. Posted By: Steve Burns on: March 28, 2017. Click here to get a PDF of this post Many new traders wonder how to develop their own entry and exit signals and build their own trading systems. I wanted to share a few sites that provide basic backtesting functionality on a web based platform. These provide enough parameters to begin to get an idea of how different ... Forex Backtester free download - BackTester, Robot Forex 2014 Profesional, Forex All-In-One-Widget, and many more programs Free vs. Paid Stock Charts. There are some great free stock chart platforms out there but most have limitations, often encouraging users to upgrade for additional features or functionality. In ... Launched in 2011, the TradingView platform is a good option for free Forex backtesting software. This Forex trader software is best known for its advanced charting tools. Real-time data and browser-based charts make research from anywhere possible, since there is nothing to install, and no complex setups to be taken care of. It is a social platform, where you can even share, watch or ... Some software is free to use but does not provide adequate capacity for backtesting. On the other hand, some software is paid and very useful. Tradingview was launched in 2011. It is a secure and web-based platform for stock and forex backtesting. The real-time data and mostly accurate price charts make it possible to research the market from anywhere. They have implemented backtesting ...

[index] [13506] [17482] [7716] [21397] [9659] [25064] [26531] [2538] [17372] [22223]

Best FREE Forex, Stocks, and Crypto Scanner! - YouTube

#forex #forexlifestyle #forextrader Want to join my VIP group? Get my signals, education, and live chat! Link to join: https://tradernickfx.com/ // SOCIAL FR... MarketInOut is an online screener and backtesting tool for stock and forex traders. The review here is mixed; the screener has some positive elements -- mainly its breadth of markets (stocks ... FREE Advanced Pattern Tutorial - https://www.thetradingchannel.net/optinpage EAP training program - https://goo.gl/5cP1Z5 Trading view link: https://www.trad... Best Indicators For Forex: ... Trading 201: How To Read Stock Charts Properly & Develop a Market Bias - Duration: 54:18. Live Traders 52,832 views. 54:18. Moving Average Trading Secrets (This is ... Charting Stocks in Python playlist: http://www.youtube.com/watch?v=u6Xd3kRHhJI&feature=share&list=PLQVvvaa0QuDcR-u9O8LyLR7URiKuW-XZq Sample code: http://pyth... Learn how to get free Forex backtesting software. ★ SUBSCRIBE: http://tradr.cc/mu8d Some traders don't get started with backtesting because they don't want t... The Forex Best Backtesting Software Thus Far! Heikin Ashi Backtest Part 1 Soft4Fx Forex Simulator: https://d2t.link/soft4fx In this video, I share what I c...

http://binaryoptiontrade.matchmo.gq