Best Forex Backtesting Software for 2020 - Admiral Markets

Forex Robot Auditor Software That Tests the FX Robot and Optimizes it Saving You From Junk EAs

Forex Robot Auditor Software That Tests the FX Robot and Optimizes it Saving You From Junk EAs submitted by ososru to Bitcoin4free [link] [comments]

Forex Robot Auditor Software That Tests the FX Robot and Optimizes it Saving You From Junk EAs

Forex Robot Auditor Software That Tests the FX Robot and Optimizes it Saving You From Junk EAs submitted by Rufflenator to 3bitcoins [link] [comments]

Forex Robot Auditor Software That Tests the FX Robot and Optimizes it Saving You From Junk EAs

Forex Robot Auditor Software That Tests the FX Robot and Optimizes it Saving You From Junk EAs submitted by ososru to Bitcoin4free [link] [comments]

Forex Robot Auditor Software That Tests the FX Robot and Optimizes it Saving You From Junk EAs

Forex Robot Auditor Software That Tests the FX Robot and Optimizes it Saving You From Junk EAs submitted by Rufflenator to 3bitcoins [link] [comments]

My home-made bar replay for MT4

I made a home-made bar replay for MT4 as an alternative to the tradingview bar replay. You can change timeframes and use objects easily. It just uses vertical lines to block the future candles. Then it adjusts the vertical lines when you change zoom or time frames to keep the "future" bars hidden.
I am not a professional coder so this is not as robust as something like Soft4fx or Forex Tester. But for me it gets the job done and is very convenient. Maybe you will find some benefit from it.

Here are the steps to use it:
1) copy the text from the code block
2) go to MT4 terminal and open Meta Editor (click icon or press F4)
3) go to File -> New -> Expert Advisor
4) put in a title and click Next, Next, Finish
5) Delete all text from new file and paste in text from code block
6) go back to MT4
7) Bring up Navigator (Ctrl+N if it's not already up)
8) go to expert advisors section and find what you titled it
9) open up a chart of the symbol you want to test
10) add the EA to this chart
11) specify colors and start time in inputs then press OK
12) use "S" key on your keyboard to advance 1 bar of current time frame
13) use tool bar buttons to change zoom and time frames, do objects, etc.
14) don't turn on auto scroll. if you do by accident, press "S" to return to simulation time.
15) click "buy" and "sell" buttons (white text, top center) to generate entry, TP and SL lines to track your trade
16) to cancel or close a trade, press "close order" then click the white entry line
17) drag and drop TP/SL lines to modify RR
18) click "End" to delete all objects and remove simulation from chart
19) to change simulation time, click "End", then add the simulator EA to your chart with a new start time
20) When you click "End", your own objects will be deleted too, so make sure you are done with them
21) keep track of your own trade results manually
22) use Tools-> History center to download new data if you need it. the simulator won't work on time frames if you don't have historical data going back that far, but it will work on time frames that you have the data for. If you have data but its not appearing, you might also need to increase max bars in chart in Tools->Options->Charts.
23) don't look at status bar if you are moused over hidden candles, or to avoid this you can hide the status bar.


Here is the code block.
//+------------------------------------------------------------------+ //| Bar Replay V2.mq4 | //| Copyright 2020, MetaQuotes Software Corp. | //| https://www.mql5.com | //+------------------------------------------------------------------+ #property copyright "Copyright 2020, MetaQuotes Software Corp." #property link "https://www.mql5.com" #property version "1.00" #property strict #define VK_A 0x41 #define VK_S 0x53 #define VK_X 0x58 #define VK_Z 0x5A #define VK_V 0x56 #define VK_C 0x43 #define VK_W 0x57 #define VK_E 0x45 double balance; string balance_as_string; int filehandle; int trade_ticket = 1; string objectname; string entry_line_name; string tp_line_name; string sl_line_name; string one_R_line_name; double distance; double entry_price; double tp_price; double sl_price; double one_R; double TP_distance; double gain_in_R; string direction; bool balance_file_exist; double new_balance; double sl_distance; string trade_number; double risk; double reward; string RR_string; int is_tp_or_sl_line=0; int click_to_cancel=0; input color foreground_color = clrWhite; input color background_color = clrBlack; input color bear_candle_color = clrRed; input color bull_candle_color = clrSpringGreen; input color current_price_line_color = clrGray; input string start_time = "2020.10.27 12:00"; input int vertical_margin = 100; //+------------------------------------------------------------------+ //| Expert initialization function | //+------------------------------------------------------------------+ int OnInit() { Comment(""); ChartNavigate(0,CHART_BEGIN,0); BlankChart(); ChartSetInteger(0,CHART_SHIFT,true); ChartSetInteger(0,CHART_FOREGROUND,false); ChartSetInteger(0,CHART_AUTOSCROLL,false); ChartSetInteger(0,CHART_SCALEFIX,false); ChartSetInteger(0,CHART_SHOW_OBJECT_DESCR,true); if (ObjectFind(0,"First OnInit")<0){ CreateStorageHLine("First OnInit",1);} if (ObjectFind(0,"Simulation Time")<0){ CreateTestVLine("Simulation Time",StringToTime(start_time));} string vlinename; for (int i=0; i<=1000000; i++){ vlinename="VLine"+IntegerToString(i); ObjectDelete(vlinename); } HideBars(SimulationBarTime(),0); //HideBar(SimulationBarTime()); UnBlankChart(); LabelCreate("New Buy Button","Buy",0,38,foreground_color); LabelCreate("New Sell Button","Sell",0,41,foreground_color); LabelCreate("Cancel Order","Close Order",0,44,foreground_color); LabelCreate("Risk To Reward","RR",0,52,foreground_color); LabelCreate("End","End",0,35,foreground_color); ObjectMove(0,"First OnInit",0,0,0); //--- create timer EventSetTimer(60); return(INIT_SUCCEEDED); } //+------------------------------------------------------------------+ //| Expert deinitialization function | //+------------------------------------------------------------------+ void OnDeinit(const int reason) { //--- destroy timer EventKillTimer(); } //+------------------------------------------------------------------+ //| Expert tick function | //+------------------------------------------------------------------+ void OnTick() { //--- } //+------------------------------------------------------------------+ //| ChartEvent function | //+------------------------------------------------------------------+ void OnChartEvent(const int id, const long &lparam, const double &dparam, const string &sparam) { if (id==CHARTEVENT_CHART_CHANGE){ int chartscale = ChartGetInteger(0,CHART_SCALE,0); int lastchartscale = ObjectGetDouble(0,"Last Chart Scale",OBJPROP_PRICE,0); if (chartscale!=lastchartscale){ int chartscale = ChartGetInteger(0,CHART_SCALE,0); ObjectMove(0,"Last Chart Scale",0,0,chartscale); OnInit(); }} if (id==CHARTEVENT_KEYDOWN){ if (lparam==VK_S){ IncreaseSimulationTime(); UnHideBar(SimulationPosition()); NavigateToSimulationPosition(); CreateHLine(0,"Current Price",Close[SimulationPosition()+1],current_price_line_color,1,0,true,false,false,"price"); SetChartMinMax(); }} if(id==CHARTEVENT_OBJECT_CLICK) { if(sparam=="New Sell Button") { distance = iATR(_Symbol,_Period,20,SimulationPosition()+1)/2; objectname = "Trade # "+IntegerToString(trade_ticket); CreateHLine(0,objectname,Close[SimulationPosition()+1],foreground_color,2,5,false,true,true,"Sell"); objectname = "TP for Trade # "+IntegerToString(trade_ticket); CreateHLine(0,objectname,Close[SimulationPosition()+1]-distance*2,clrAqua,2,5,false,true,true,"TP"); objectname = "SL for Trade # "+IntegerToString(trade_ticket); CreateHLine(0,objectname,Close[SimulationPosition()+1]+distance,clrRed,2,5,false,true,true,"SL"); trade_ticket+=1; } } if(id==CHARTEVENT_OBJECT_CLICK) { if(sparam=="New Buy Button") { distance = iATR(_Symbol,_Period,20,SimulationPosition()+1)/2; objectname = "Trade # "+IntegerToString(trade_ticket); CreateHLine(0,objectname,Close[SimulationPosition()+1],foreground_color,2,5,false,true,true,"Buy"); objectname = "TP for Trade # "+IntegerToString(trade_ticket); CreateHLine(0,objectname,Close[SimulationPosition()+1]+distance*2,clrAqua,2,5,false,true,true,"TP"); objectname = "SL for Trade # "+IntegerToString(trade_ticket); CreateHLine(0,objectname,Close[SimulationPosition()+1]-distance,clrRed,2,5,false,true,true,"SL"); trade_ticket+=1; } } if(id==CHARTEVENT_OBJECT_DRAG) { if(StringFind(sparam,"TP",0)==0) { is_tp_or_sl_line=1; } if(StringFind(sparam,"SL",0)==0) { is_tp_or_sl_line=1; } Comment(is_tp_or_sl_line); if(is_tp_or_sl_line==1) { trade_number = StringSubstr(sparam,7,9); entry_line_name = trade_number; tp_line_name = "TP for "+entry_line_name; sl_line_name = "SL for "+entry_line_name; entry_price = ObjectGetDouble(0,entry_line_name,OBJPROP_PRICE,0); tp_price = ObjectGetDouble(0,tp_line_name,OBJPROP_PRICE,0); sl_price = ObjectGetDouble(0,sl_line_name,OBJPROP_PRICE,0); sl_distance = MathAbs(entry_price-sl_price); TP_distance = MathAbs(entry_price-tp_price); reward = TP_distance/sl_distance; RR_string = "RR = 1 : "+DoubleToString(reward,2); ObjectSetString(0,"Risk To Reward",OBJPROP_TEXT,RR_string); is_tp_or_sl_line=0; } } if(id==CHARTEVENT_OBJECT_CLICK) { if(sparam=="Cancel Order") { click_to_cancel=1; Comment("please click the entry line of the order you wish to cancel."); } } if(id==CHARTEVENT_OBJECT_CLICK) { if(sparam!="Cancel Order") { if(click_to_cancel==1) { if(ObjectGetInteger(0,sparam,OBJPROP_TYPE,0)==OBJ_HLINE) { entry_line_name = sparam; tp_line_name = "TP for "+sparam; sl_line_name = "SL for "+sparam; ObjectDelete(0,entry_line_name); ObjectDelete(0,tp_line_name); ObjectDelete(0,sl_line_name); click_to_cancel=0; ObjectSetString(0,"Risk To Reward",OBJPROP_TEXT,"RR"); } } } } if (id==CHARTEVENT_OBJECT_CLICK){ if (sparam=="End"){ ObjectsDeleteAll(0,-1,-1); ExpertRemove(); }} } //+------------------------------------------------------------------+ void CreateStorageHLine(string name, double value){ ObjectDelete(name); ObjectCreate(0,name,OBJ_HLINE,0,0,value); ObjectSetInteger(0,name,OBJPROP_SELECTED,false); ObjectSetInteger(0,name,OBJPROP_SELECTABLE,false); ObjectSetInteger(0,name,OBJPROP_COLOR,clrNONE); ObjectSetInteger(0,name,OBJPROP_BACK,true); ObjectSetInteger(0,name,OBJPROP_ZORDER,0); } void CreateTestHLine(string name, double value){ ObjectDelete(name); ObjectCreate(0,name,OBJ_HLINE,0,0,value); ObjectSetInteger(0,name,OBJPROP_SELECTED,false); ObjectSetInteger(0,name,OBJPROP_SELECTABLE,false); ObjectSetInteger(0,name,OBJPROP_COLOR,clrWhite); ObjectSetInteger(0,name,OBJPROP_BACK,true); ObjectSetInteger(0,name,OBJPROP_ZORDER,0); } bool IsFirstOnInit(){ bool bbb=false; if (ObjectGetDouble(0,"First OnInit",OBJPROP_PRICE,0)==1){return true;} return bbb; } void CreateTestVLine(string name, datetime timevalue){ ObjectDelete(name); ObjectCreate(0,name,OBJ_VLINE,0,timevalue,0); ObjectSetInteger(0,name,OBJPROP_SELECTED,false); ObjectSetInteger(0,name,OBJPROP_SELECTABLE,false); ObjectSetInteger(0,name,OBJPROP_COLOR,clrNONE); ObjectSetInteger(0,name,OBJPROP_BACK,false); ObjectSetInteger(0,name,OBJPROP_ZORDER,3); } datetime SimulationTime(){ return ObjectGetInteger(0,"Simulation Time",OBJPROP_TIME,0); } int SimulationPosition(){ return iBarShift(_Symbol,_Period,SimulationTime(),false); } datetime SimulationBarTime(){ return Time[SimulationPosition()]; } void IncreaseSimulationTime(){ ObjectMove(0,"Simulation Time",0,Time[SimulationPosition()-1],0); } void NavigateToSimulationPosition(){ ChartNavigate(0,CHART_END,-1*SimulationPosition()+15); } void NotifyNotEnoughHistoricalData(){ BlankChart(); Comment("Sorry, but there is not enough historical data to load this time frame."+"\n"+ "Please load more historical data or use a higher time frame. Thank you :)");} void UnHideBar(int barindex){ ObjectDelete(0,"VLine"+IntegerToString(barindex+1)); } void BlankChart(){ ChartSetInteger(0,CHART_COLOR_FOREGROUND,clrNONE); ChartSetInteger(0,CHART_COLOR_CANDLE_BEAR,clrNONE); ChartSetInteger(0,CHART_COLOR_CANDLE_BULL,clrNONE); ChartSetInteger(0,CHART_COLOR_CHART_DOWN,clrNONE); ChartSetInteger(0,CHART_COLOR_CHART_UP,clrNONE); ChartSetInteger(0,CHART_COLOR_CHART_LINE,clrNONE); ChartSetInteger(0,CHART_COLOR_GRID,clrNONE); ChartSetInteger(0,CHART_COLOR_ASK,clrNONE); ChartSetInteger(0,CHART_COLOR_BID,clrNONE);} void UnBlankChart(){ ChartSetInteger(0,CHART_COLOR_FOREGROUND,foreground_color); ChartSetInteger(0,CHART_COLOR_CANDLE_BEAR,bear_candle_color); ChartSetInteger(0,CHART_COLOR_CANDLE_BULL,bull_candle_color); ChartSetInteger(0,CHART_COLOR_BACKGROUND,background_color); ChartSetInteger(0,CHART_COLOR_CHART_DOWN,foreground_color); ChartSetInteger(0,CHART_COLOR_CHART_UP,foreground_color); ChartSetInteger(0,CHART_COLOR_CHART_LINE,foreground_color); ChartSetInteger(0,CHART_COLOR_GRID,clrNONE); ChartSetInteger(0,CHART_COLOR_ASK,clrNONE); ChartSetInteger(0,CHART_COLOR_BID,clrNONE);} void HideBars(datetime starttime, int shift){ int startbarindex = iBarShift(_Symbol,_Period,starttime,false); ChartNavigate(0,CHART_BEGIN,0); if (Time[WindowFirstVisibleBar()]>SimulationTime()){NotifyNotEnoughHistoricalData();} if (Time[WindowFirstVisibleBar()]=0; i--){ vlinename="VLine"+IntegerToString(i); ObjectCreate(0,vlinename,OBJ_VLINE,0,Time[i],0); ObjectSetInteger(0,vlinename,OBJPROP_COLOR,background_color); ObjectSetInteger(0,vlinename,OBJPROP_BACK,false); ObjectSetInteger(0,vlinename,OBJPROP_WIDTH,vlinewidth); ObjectSetInteger(0,vlinename,OBJPROP_ZORDER,10); ObjectSetInteger(0,vlinename,OBJPROP_FILL,true); ObjectSetInteger(0,vlinename,OBJPROP_STYLE,STYLE_SOLID); ObjectSetInteger(0,vlinename,OBJPROP_SELECTED,false); ObjectSetInteger(0,vlinename,OBJPROP_SELECTABLE,false); } NavigateToSimulationPosition(); SetChartMinMax();} }//end of HideBars function void SetChartMinMax(){ int firstbar = WindowFirstVisibleBar(); int lastbar = SimulationPosition(); int lastbarwhenscrolled = WindowFirstVisibleBar()-WindowBarsPerChart(); if (lastbarwhenscrolled>lastbar){lastbar=lastbarwhenscrolled;} double highest = High[iHighest(_Symbol,_Period,MODE_HIGH,firstbar-lastbar,lastbar)]; double lowest = Low[iLowest(_Symbol,_Period,MODE_LOW,firstbar-lastbar,lastbar)]; ChartSetInteger(0,CHART_SCALEFIX,true); ChartSetDouble(0,CHART_FIXED_MAX,highest+vertical_margin*_Point); ChartSetDouble(0,CHART_FIXED_MIN,lowest-vertical_margin*_Point); } void LabelCreate(string labelname, string labeltext, int row, int column, color labelcolor){ int ylocation = row*18; int xlocation = column*10; ObjectCreate(0,labelname,OBJ_LABEL,0,0,0); ObjectSetString(0,labelname,OBJPROP_TEXT,labeltext); ObjectSetInteger(0,labelname,OBJPROP_COLOR,labelcolor); ObjectSetInteger(0,labelname,OBJPROP_FONTSIZE,10); ObjectSetInteger(0,labelname,OBJPROP_ZORDER,10); ObjectSetInteger(0,labelname,OBJPROP_BACK,false); ObjectSetInteger(0,labelname,OBJPROP_CORNER,CORNER_LEFT_UPPER); ObjectSetInteger(0,labelname,OBJPROP_ANCHOR,ANCHOR_LEFT_UPPER); ObjectSetInteger(0,labelname,OBJPROP_XDISTANCE,xlocation); ObjectSetInteger(0,labelname,OBJPROP_YDISTANCE,ylocation);} double GetHLinePrice(string name){ return ObjectGetDouble(0,name,OBJPROP_PRICE,0); } void CreateHLine(int chartid, string objectnamey, double objectprice, color linecolor, int width, int zorder, bool back, bool selected, bool selectable, string descriptionn) { ObjectDelete(chartid,objectnamey); ObjectCreate(chartid,objectnamey,OBJ_HLINE,0,0,objectprice); ObjectSetString(chartid,objectnamey,OBJPROP_TEXT,objectprice); ObjectSetInteger(chartid,objectnamey,OBJPROP_COLOR,linecolor); ObjectSetInteger(chartid,objectnamey,OBJPROP_WIDTH,width); ObjectSetInteger(chartid,objectnamey,OBJPROP_ZORDER,zorder); ObjectSetInteger(chartid,objectnamey,OBJPROP_BACK,back); ObjectSetInteger(chartid,objectnamey,OBJPROP_SELECTED,selected); ObjectSetInteger(chartid,objectnamey,OBJPROP_SELECTABLE,selectable); ObjectSetString(0,objectnamey,OBJPROP_TEXT,descriptionn); } //end of code 
submitted by Learning_2 to Forex [link] [comments]

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]

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Has anyone tried Forex robot trading?

What Is a Forex Robot?
These days, it is becoming more and more common for traders to utilize modern methods of technology in their trading and there are many advantages to doing so.
Traders are increasingly likely to use trading systems or software that allows them to automate the trading process — thus reducing the problems of emotional attachment to a trade or a lack of trading discipline. A Forex robot does exactly that and one of the most popular ways to use one is via the MetaTrader 4 platform.
The MetaTrader 4 platform offers a complete solution to a trader’s needs, consisting of charts, news feeds, and more. And, by coding in the native MQL4 programming language, it is also possible to write custom built indicators or even trading strategies — also known as expert advisors.
Free Ex4 to Mq4 decompiler!! Top EA List: https://best-forex-trading-robots.com/
Expert Advisors
An expert advisor (EA) is another name for a Forex robot, one that has been developed to be used on the MetaTrader 4 platform. Since it can be custom built, an expert advisor can be designed to implement any trading strategy or risk management system so long as the designer knows how to code it into the program.
For example, a trader may design an EA to open positions in the market at a certain size after a moving average crossover.
Has anyone tried Forex robot trading? Best-forex-robots
Benefits
The main advantage of using a Forex robot is that it takes the emotion out of trading, which if not addressed, can be a big barrier to many traders. Fear, greed, and stress can build up in manual trading all too easily, leading a trader to lose money and get frustrated with the game.
A robot on the other hand, will implement the chosen strategy flawlessly every time and with a high degree of accuracy. It will also make difficult risk management calculations in the blink of an eye, much faster than a human trader. Not only that, but robots can be designed to trade around the clock and on different markets at once, meaning that you need not have to sit in front of your screen all day and all night.
In short, a Forex robot can take much of the hard work out of trading — that hard work is done beforehand — developing and testing the trading idea.
Limitations
Of course, there are no shortcuts to making money on the Forex markets and working with a Forex robot brings with it its own inherent limitations.
For one thing, Forex markets are fiercely competitive and coming up with a robot that is able to beat the market is a notoriously difficult thing to do.
Indeed, it is not enough to design a robot that works over a couple of weeks data, the robot must work over several months, if not years, of historical data and undergo rigorous statistical testing to prove that it works. Because if a trader cannot be confident that the robot works, they will more than likely abandon it when times get tough.
submitted by Rongpure1 to u/Rongpure1 [link] [comments]

Kin Swap FAQ + Video Tutorials + Guides (Multiple Languages)

FAQs:

1) Do I need to swap?
Yes. Kin is migrating to its own Blockchain which will be the only system connected to their SDKs.
If you do not transfer your Kin you will be left with the ERC-20 tokens. The Kin Foundation claims there will be an on-going one way swap method manually via Kin's support staff in the future if you miss the swap window. We have no further details on how this process will work, how long it will take or if it will always be available. Kin ERC20 tokens will not be used in the main Kin blockchain, SDK or apps.
2) Can't I swap back?
No. The original plan was to have a programmatic 1:1 swap always available. This was abandoned.
This is a one-time swap. It is only available through exchange partners.
3) Do I need to swap my Kin if it is in an app like Kik, Kinit, Kinny, Swelly or MadLipz?
No. This Kin is being migrated for you.
4) Do I need to swap my Kin if I have it in an exchange?
Yes. If your exchange is not:
Or you were not previously holding Kin on:
Then you MUST move your Kin in order to swap it. It will not swap automatically.
5) Will other exchanges support the swap?
We don't know. The Kin documentation is unclear, and it seems unlikely based on the time constraints set. If they do, there is no guarantee that there will not be a fee.
6) Are their fees for the transaction?
Kin's documentation has said partners are not charging fees. There still may be network fees. You should talk to the customer support of each service before swapping if you are worried about fees.
7) If my Kin is in a wallet like Jaxx, MEW, Coinimi, etc do I have to swap?
Yes. You must manually swap.
8) Is there any way to swap that is not an exchange?
Yes. CoinSwitch and Changelly are technically not exchanges but also support the swap.
9) Is there anyway to swap that is not a third-party service?
No.
10) How much time do I have?
For the current exchanges you have until April 10th. (EST)
For CoinSwitch and Changelly you have until June 12th.
11) What happens after June 12th?
We have no idea. We are told there will be a manual swap method available for individuals who were unable to swap prior to that time. What this looks like is still unclear.
12) How do I swap?
Right now we are in Phase 2 of the swap, there are less options for swapping currently. You can see the Phase 2 guide here: http://nufi.io/how-to-swap-your-kin-with-p2pb2b/
13) Should I use FreeWallet, AtomicWallet or TrustWallet?
Both of those services come with risks. FreeWallet is centralized and is owned by HitBTC a controversial exchange commonly accused of scamming.
AtomicWallet requires running third-party software on your system.
Neither are ideal or recommended. If you are using a wallet you should consider buying a Ledger device, or Creating a Paper Wallet?. If neither of those are an option then you can use TrustWallet by Binance.
14) Which exchange is the safest?
That is a matter of personal opinion. Right now your only option is P2PB2B
15) Should I use CoinSwitch?
CoinSwitch is an unknown and fairly new team from India. The process of switching has been smooth for some people so far, but, it is worth proceeding with caution. Multiple virus scanners such as F-Secure and McAffee also suggest it is an unsafe site.
The main problem is that to use Changelly or CoinSwitch you must either manually set up your Ledger to support Kin, or use AtomicWallet or FreeWallet - which is not advisable.
16) When will I get my Kin?
If you use the instant switching from CoinSwitch or Changelly you should get the Kin3 within a few minutes.
If you use Lykke or LAToken you will get your Kin3 March 26th.
If you use any of the other exchanges you will get your Kin3 on March 21st.
For Phase 2 using P2PB2B you will get your coins on April 12th or 13th.
17) Is Trezor supported?
No.
18) If my Kin are in HitBTC do I need to do anything?
Technically no. But, HitBTC has very expensive withdraw fees and a pretty bad reputation. You should check out the guide below for other options.
19) If I am out of the country and away from my hardware wallet for 3-6+ months how will I deal with the swap?
This has been discussed with Kin support, they claim they will have a manual email service for people who are in this situation. No further information has been given at this time. It is unclear if any proof is required or what the process involves. It is unclear if the process is only for ICO holders.
20) What if I have Kin on Stellar from Stellarport etc?
Stellar assets like that are issued as "IOUs" from the Stellar Anchor you bought them at. They are not tokens. In theory, who ever sold you the IOU should have Kin1 tokens that they are holding in balance when issued. They should swap these tokens to Kin3 and provide you with a Kin3 IOU or the Kin3 itself. You will need to contact the support at your Stellar Anchor to confirm more.
21) Are more exchanges coming?
Yes. We know more exchanges are coming, but we have no idea when, or which exchanges.
22) I'm doing your tutorial on How to Build Manual Ledger Transactions but getting the error code op_no_destination?
This means the wallet you are trying to send to isn't activated yet. Wallets on Stellar don't get created when the keypair is generated, they get created by another wallet activating and funding them. You must use the operation "CreateAccount" rather than "Payment" when building the transaction.
23) I'm doing your tutorial on How to Build Manual Ledger Transactions but getting the error code Unsupported Media Type?
Most likely you are on the Kin test network and not the main network. Check the upper right hand corner of the lab and switch to the public network.
24) How do I transfer from MEW?
Simply follow either the How to Swap Kin with Exchanges (Beginners) or How to Swap Kin with Ledger (Advanced Users Only) but instead of sending from a Ledger send the tokens from your MEW wallet. If you choose to do the instant swap you'll need to have a Kin3 compatible wallet such as a paper wallet (How to create a Kin Paper Wallet/What is a Paper Wallet?)
24) I have other questions not answered here?
I've set up a specific Question Thread to better keep track of issues.
25) Where can I stay up to date on this stuff?
Since there hasn't been much official guidance, I've been tweeting about important updates as they develop. You can follow the account I set up here: @crypto_adamsc1

Guides:

International Guides:

Videos:

Kin FAQ in other languages:

submitted by AdamSC1 to KinFoundation [link] [comments]

BEST FOREX TRADING ROBOT of 2019.

At Forex Robot Review, we test all robots to ensure that traders can find the best, most optimized and versatile robots to facilitate traders in the Forex trading market. Over the years, we have thoroughly analyzed thousands of different Forex software products and have compiled a list of the most functional categories, grouped by their functionality and popularity among traders. We want you to use profitable Forex assistants for your operations and, of course, earn more with minimal effort!
Our specialists have compiled a list of 5 Expert Advisors that give traders the highest opportunities to find the best robots that are available to work on Forex, a list of 5 best Expert Advisors that the most experienced traders use and receive solid financial resources. The list of 5 robots, to facilitate the work of traders in the Forex market has been drawn up for a long time, during all this period the principles of functioning of the ten most versatile, optimal robots for comfortable trading on Forex were carefully studied, and here our experienced specialists made and showed the traders a list of 5 the most popular, most effective, functional robots –
which are presented on our site at- https://forexrobotreview.trade/
submitted by fxroboreview to u/fxroboreview [link] [comments]

Stock Market Week Ahead for the trading week beginning February 4th, 2019 (News, Earnings, etc.)

Hey what's up stocks! Good morning and happy Sunday to all of you on this subreddit. I hope everyone made out pretty decent last week in the market, and are ready for the new trading week ahead! :)
Here is everything you need to know to get you ready for the trading week beginning February 4th, 2019.

Jobs report removes some fear, but market still in 'tug of war' over how much growth is slowing - (Source)

After January's strong jobs report calmed some recession fears, investors will be picking through the next wave of earnings reports and economic data for clues on just how much the U.S. economy could be slowing.
Dozens of earnings, from companies like Alphabet, Disney and Eli Lily, report in the week ahead, and there are just a few economic reports like trade data and ISM services on Tuesday. Investors will also be watching the outcome of Treasury auctions for $84 billion in Treasury notes and bonds Tuesday through Thursday, after the Fed's dovish tone helped put a lid on interest rates in the past week.
Nearly half the S&P 500 companies had reported for the fourth quarter by Friday morning, and 71 percent beat earnings estimates, while 62 percent have beaten revenue estimates. But earnings growth forecasts for the first quarter continue to decline as more companies report, and they are currently barely breaking even at under 1 percent growth, versus the 15 percent growth in the fourth quarter, according to Refinitiv.
"Granted the more we hear from companies, and particularly in terms of their guidance and projections on revenues, things can slowly change. The first thing companies do is they stop spending money. Cap spending slows down, and if revenue growth does not pick up, they let people go. This is still wait and see," said Quincy Krosby, chief market strategist at Prudential Financial.
Krosby said the 304,000 jobs added in January did ease some concerns about a slowing economy, as did a stronger than expected ISM manufacturing report Friday. But the view of the first quarter is still unclear, as many economic reports were missed during the government shutdown. Economists expect growth in the first quarter of just above 2 percent, after growth of about 2.9 percent in the fourth quarter.
Stocks closed out January with a sharp gain on Thursday, and started February on Friday on a flattish note. The S&P 500 has rebounded about 15 percent from its Dec. 24 closing low. Last month's 7.9 percent gain was the best performance for January in more than 30 years. The old Wall Street adage says 'so goes January, so goes the year.' If that holds, stocks could finish 2019 higher. But February is another story, and on average, it is a flat month for the S&P 500.
"The tug of war that you saw in the market, that was going on in the last half of last year is playing out in the data. Some of the data is a bit lower, but some of the economic surprises are picking up to the upside rather than downside," said Krosby.
Peter Boockvar, chief investment strategist at Bleakley Advisory Group, said the ISM may have improved but it reflected very low exports and flat backlogs, even though there was a snap back in new orders.
"I would fade the jobs report," said Boockvar, noting the level of growth may have been inflated by government workers taking on part-time jobs during the government shutdown.
Boocvkar said the jobs report also looked strong on the surface, but he's concerned the unemployment rate ticked up to 4 percent from 3.9 percent.
"The question of whether we go into a recession or not is how does the stock market affect confidence?" Boockvar said. Confidence readings in the past week were low, and consumer sentiment Friday was its lowest since before President Donald Trump took office.
Krosby said stocks could test recent lows or put in a higher low. If there's a big selloff, "That would not necessarily mean it was a clue a recession is coming. It's just a normal testing mechanism," she said.
The Fed removed a big concern from the markets in the past week, when its post-meeting statement and Fed Chairman Jerome Powell's briefing tilted dovish, assuring markets the Fed would pause in its interest rate hiking. Investors had feared the Fed would hurt the softening economy with its rate hikes. Now, the biggest fears are about the trade war between the U.S. and China and slowing Chinese growth.
The jobs report, and the ISM manufacturing data were also important because the lack of data during the government's 35 day shutdown has left gaps in the economic picture.
"This is really a sign the Fed stole the thunder from the economic data. By saying they're patient plasters over any kind of economic data in the near term, and I suspect the near term lasts through the first quarter because of the government shutdown, the weather, weak GDP," said Marc Chandler, chief market strategist at Bannockburn Global Forex.
Chandler said the markets will be hanging on any news on the trade talks with China. "Even if it's not the all encompassing trade deal we were promised, it's a return to where we were before with China promising to buy energy and farm products. We'll continue to have some kind of talks with the China, like we had under Obama and Bush," said Chandler.

This past week saw the following moves in the S&P:

(CLICK HERE FOR THE FULL S&P TREE MAP FOR THE PAST WEEK!)

Major Indices for this past week:

(CLICK HERE FOR THE MAJOR INDICES FOR THE PAST WEEK!)

Major Futures Markets as of Friday's close:

(CLICK HERE FOR THE MAJOR FUTURES INDICES AS OF FRIDAY!)

Economic Calendar for the Week Ahead:

(CLICK HERE FOR THE FULL ECONOMIC CALENDAR FOR THE WEEK AHEAD!)

Sector Performance WTD, MTD, YTD:

(CLICK HERE FOR FRIDAY'S PERFORMANCE!)
(CLICK HERE FOR THE WEEK-TO-DATE PERFORMANCE!)
(CLICK HERE FOR THE MONTH-TO-DATE PERFORMANCE!)
(CLICK HERE FOR THE 3-MONTH PERFORMANCE!)
(CLICK HERE FOR THE YEAR-TO-DATE PERFORMANCE!)
(CLICK HERE FOR THE 52-WEEK PERFORMANCE!)

Percentage Changes for the Major Indices, WTD, MTD, QTD, YTD as of Friday's close:

(CLICK HERE FOR THE CHART!)

S&P Sectors for the Past Week:

(CLICK HERE FOR THE CHART!)

Major Indices Pullback/Correction Levels as of Friday's close:

(CLICK HERE FOR THE CHART!)

Major Indices Rally Levels as of Friday's close:

(CLICK HERE FOR THE CHART!)

Most Anticipated Earnings Releases for this week:

(CLICK HERE FOR THE CHART!)

Here are the upcoming IPO's for this week:

(CLICK HERE FOR THE CHART!)

Friday's Stock Analyst Upgrades & Downgrades:

(CLICK HERE FOR CHART LINK #1!)
(CLICK HERE FOR CHART LINK #2!)

Now What?

What a year it has been. After the worst December for stocks in 87 years that contributed to the worst fourth quarter since the 2008–09 financial crisis, stocks have bounced back in spectacular fashion. In fact, with a day to go, stocks are looking at their best first month of the year in 30 years.
What could happen next? “We like to say that the easy 10% has been made off the lows and the next 10% will be much tougher,” explained LPL Senior Market Strategist Ryan Detrick. “Things like Fed policy, China uncertainty, and overall global growth concerns all will play a part in where equity markets go from here.”
With the S&P 500 Index about 10% away from new highs, we do think new highs are quite possible at some point this year. Positive news from the Federal Reserve (Fed) and China trade talks, as well as the realization by investors that the odds of a recession in 2019 are quite low could spark potential new highs. Remember, fiscal spending as a percentage of overall gross domestic product (GDP) is higher this year than it was last year. Many think the tax cut and fiscal policies in play last year were a one-time sugar high. We don’t see it that way and expect the benefits from fiscal policy to help extend this economic cycle at least another year—likely more.
As we head into February, note that it hasn’t been one of the best months for stocks. In fact, as our LPL Chart of the Day shows, since 1950, February has been virtually flat, and over the past 20 years only June and September have shown worse returns. Overall, the market gains have been quite impressive since the December 24 lows, but we wouldn’t be surprised at all to see a near-term consolidation or pullback.
(CLICK HERE FOR THE CHART!)

A Fed Pause and the Flattening Yield Curve

Investors have increasingly positioned for a Federal Reserve (Fed) pause, which could portend a shift in fixed income markets. Fed fund futures are pricing in about a 70% probability that the Fed will keep rates unchanged for the rest of 2019, and the market’s dovish tilt has weighed on short-term rates.
As shown in the LPL Chart of the Day, the 2-year yield has typically followed the fed funds rate since policymakers began raising rates in December 2015. While we expect one or two more hikes this cycle, there is a possibility that the Fed’s December hike was its last, which will likely cap short-term rates.
(CLICK HERE FOR THE CHART!)
Short-term yields have outpaced longer-term yields over the past few years, flattening the yield curve and raising concerns that U.S. economic progress may not be able to keep up with the Fed’s tightening. The spread between the 2-year and 10-year yield has fallen negative before every single U.S. recession since 1970.
If the Fed pauses, the curve will likely reverse course and steepen as solid economic growth and quickening (but manageable) inflation drives longer-term yields higher. As mentioned in our Outlook 2019, FUNDAMENTAL: How to Focus on What Really Matters in the Markets, we’re forecasting the 10-year Treasury yield will increase significantly from current levels and trade within a range of 3.25–3.75% in 2019.
“We remain optimistic about U.S. economic growth prospects, and recent data show inflation remains at manageable levels,” said LPL Research Chief Investment Strategist John Lynch. “Because of this, we expect the data-dependent Fed to be less aggressive than initially feared, as policymakers juggle these factors with the impacts of trade tensions and tepid global growth.”
To be clear, investors shouldn’t fear a flattening yield curve given the backdrop of solid economic growth and modest inflation. Historically, the yield curve has remained relatively flat or inverted for years before some recessions started. Since 1970, the United States has entered a recession an average of 21 months after the yield curve inverted.

Jobless Claims’ Historic Significance

Jobless claims have dropped to a 49-year low. Based on historical trends, this could signal that a U.S. economic recession is further off than many expect.
Data released January 24 showed jobless claims fell to 199K in the week ending January 18, the lowest number since 1969 and far below consensus estimates of 218K. As shown in the LPL Chart of the Day, current jobless claims have been significantly lower than those in the 12-month periods preceding each recession since the early 1970s.
(CLICK HERE FOR THE CHART!)
Jobless claims have fallen out of the spotlight as the economic cycle has matured, but they could prove important again as investors’ recessionary fears increase. While most labor-market data serve as lagging indicators of U.S. economic health, jobless claims are a leading indicator. Historically, a 75–100K increase in claims over a 26-week period has been associated with a recession.
“Last week’s jobless claims print was particularly impressive given the partial government shutdown and weakening corporate sentiment,” said LPL Research Chief Investment Strategist John Lynch. “The U.S. labor market remains strong and will help buoy consumer health and output growth this year.”
Other predictive data sets have signaled U.S. recessionary odds are low. Data last week showed the Conference Board’s Leading Economic Index (LEI), based on 10 leading economic indicators (like jobless claims, manufacturers’ new orders, and stock prices), grew 4.3% year over year in December. In contrast, the LEI has turned negative year over year before all economic recessions since 1970. Because of its solid predictive ability, the LEI is a component of our Recession Watch Dashboard.

Best S&P January Since 1987

Most major U.S. stock indexes rallied to new recovery and year-to-date highs today shrugging off some misses and weakness from Microsoft, DuPont and Visa. S&P 500 finished the month strong with a 7.9% gain. This is the best S&P January since 1987. This is also the third January Trifecta in a row.
Last year the S&P 500 crumbled in the fourth quarter under the weight of triple threats from a hawkish and confusing Fed, a newly divided Congress and the U.S. trade battle with China, finishing in the red. 2017’s Trifecta was followed by a full-year gain of 19.4%, including a February-December gain of 17.3%. As you can see in the table below, the long term track record of the Trifecta is rather impressive, posting full-year gains in 27 of the 30 prior years with an average gain for the S&P 500 of 17.1%.
Devised by Yale Hirsch in 1972, the January Barometer has registered ten major errors since 1950 for an 85.5% accuracy ratio. This indicator adheres to propensity that as the S&P 500 goes in January, so goes the year. Of the ten major errors Vietnam affected 1966 and 1968. 1982 saw the start of a major bull market in August. Two January rate cuts and 9/11 affected 2001.The market in January 2003 was held down by the anticipation of military action in Iraq. The second worst bear market since 1900 ended in March of 2009 and Federal Reserve intervention influenced 2010 and 2014. In 2016, DJIA slipped into an official Ned Davis bear market in January. Including the eight flat years yields a .739 batting average.
Our January Indicator Trifecta combines the Santa Claus Rally, the First Five Days Early Warning System and our full-month January Barometer. The predicative power of the three is considerably greater than any of them alone; we have been rather impressed by its forecasting prowess. This is the 31st time since 1949 that all three January Indicators have been positive and the twelfth time (previous eleven times highlighted in grey in table below) this has occurred in a pre-election year.
(CLICK HERE FOR THE CHART!)
With the Fed turning more dovish and President Trump tacking to the center and meeting with China and market internals improving along with the gains, the market is tracking Base Case and Best Case scenarios outlined in our 2019 Annual Forecast. Next eleven month and full-year 2019 performance is expected to be more in line with typical Pre-Election returns.

February Almanac: Small-Caps Tend to Outperform

Even though February is right in the middle of the Best Six Months, its long-term track record, since 1950, is not all that stellar. February ranks no better than seventh and has posted paltry average gains except for the Russell 2000. Small cap stocks, benefiting from “January Effect” carry over; tend to outpace large cap stocks in February. The Russell 2000 index of small cap stocks turns in an average gain of 1.1% in February since 1979—just the seventh best month for that benchmark.
In pre-election years, February’s performance generally improves with average returns all positive. NASDAQ performs best, gaining an average 2.8% in pre-election-year Februarys since 1971. Russell 2000 is second best, averaging gains of 2.5% since 1979. DJIA, S&P 500 and Russell 1000, the large-cap indices, tend to lag with average advances of around 1.0%.
(CLICK HERE FOR THE CHART!)

5% Months

7%? Bulls will take it! After an abysmal December, the S&P 500 is currently set to finish the month with its best January return since 1987. This month’s gain will mark the 16th time since the lows of the Financial Crisis in March 2009 that the S&P 500 has rallied more than 5% in a given month. The table below highlights each of the 15 prior months where the S&P 500 rallied more than 5% and shows how much the S&P 500 gained on the month as well as its performance on the last trading day of the month and the first trading day of the subsequent month.
When looking at the table, a few things stand out. First, the first trading day of a month that follows a month where the S&P 500 rallied more than 5% has been extremely positive as the S&P 500 averages a gain of 0.84% (median: 1.01%) with positive returns 13 out of 15 times! In addition to the positive tendency of markets on the first day of the new month, there has also been a clear tendency for the S&P 500 to decline on the last trading day of the strong month. The average decline on the last trading day of a strong month has been 0.09% with positive returns less than half of the time. This is no doubt related to the fact that funds are forced to rebalance out of equities to get back inline with their benchmark weights. However, on those five prior months where the S&P 500 bucked the trend and was positive on the last trading day of a 5%+ month, the average gain on the first trading day of the next month was even stronger at 1.52% with gains five out of six times.
(CLICK HERE FOR THE CHART!)

STOCK MARKET VIDEO: Stock Market Analysis Video for February 1st, 2019

([CLICK HERE FOR THE YOUTUBE VIDEO!]())
(VIDEO NOT YET UP!)

STOCK MARKET VIDEO: ShadowTrader Video Weekly 2.3.19

([CLICK HERE FOR THE YOUTUBE VIDEO!]())
(VIDEO NOT YET UP!)
Here are the most notable companies reporting earnings in this upcoming trading month ahead-
  • $GOOGL
  • $TWTR
  • $SNAP
  • $CLF
  • $TTWO
  • $ALXN
  • $DIS
  • $BP
  • $CLX
  • $SYY
  • $GM
  • $GILD
  • $CMG
  • $GRUB
  • $EA
  • $STX
  • $SPOT
  • $AMG
  • $SAIA
  • $RL
  • $CNC
  • $EL
  • $UFI
  • $GLUU
  • $MTSC
  • $JOUT
  • $PM
  • $GPRO
  • $LITE
  • $FEYE
  • $SWKS
  • $LLY
  • $MPC
  • $BDX
  • $REGN
  • $VIAB
  • $ONVO
  • $HUM
  • $ARRY
  • $PBI
  • $ADM
  • $BSAC
(CLICK HERE FOR NEXT WEEK'S MOST NOTABLE EARNINGS RELEASES!)
(CLICK HERE FOR NEXT WEEK'S HIGHEST VOLATILITY EARNINGS RELEASES!)
(CLICK HERE FOR NEXT WEEK'S BIGGEST DECLINE IN EARNINGS EXPECTATIONS!)
(CLICK HERE FOR NEXT WEEK'S HIGHEST INCREASE IN EARNINGS EXPECTATIONS!)
Below are some of the notable companies coming out with earnings releases this upcoming trading week ahead which includes the date/time of release & consensus estimates courtesy of Earnings Whispers:

Monday 2.4.19 Before Market Open:

(CLICK HERE FOR MONDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!)

Monday 2.4.19 After Market Close:

(CLICK HERE FOR MONDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!)

Tuesday 2.5.19 Before Market Open:

(CLICK HERE FOR TUESDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES LINK #1!)
(CLICK HERE FOR TUESDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES LINK #2!)

Tuesday 2.5.19 After Market Close:

(CLICK HERE FOR TUESDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES LINK #1!)
(CLICK HERE FOR TUESDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES LINK #2!)

Wednesday 2.6.19 Before Market Open:

(CLICK HERE FOR WEDNESDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!)

Wednesday 2.6.19 After Market Close:

(CLICK HERE FOR WEDNESDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES LINK #1!)
(CLICK HERE FOR WEDNESDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES LINK #2!)

Thursday 2.7.19 Before Market Open:

(CLICK HERE FOR THURSDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES LINK #1!)
(CLICK HERE FOR THURSDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES LINK #1!)

Thursday 2.7.19 After Market Close:

(CLICK HERE FOR THURSDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES LINK #1!)
(CLICK HERE FOR THURSDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES LINK #2!)

Friday 2.8.19 Before Market Open:

(CLICK HERE FOR FRIDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!)

Friday 2.8.19 After Market Close:

([CLICK HERE FOR FRIDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!]())
NONE.

Alphabet, Inc. -

Alphabet, Inc. (GOOGL) is confirmed to report earnings at approximately 4:05 PM ET on Monday, February 4, 2019. The consensus earnings estimate is $11.08 per share on revenue of $31.28 billion and the Earnings Whisper ® number is $11.03 per share. Investor sentiment going into the company's earnings release has 71% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 14.23% with revenue decreasing by 3.23%. Short interest has decreased by 6.6% since the company's last earnings release while the stock has drifted higher by 6.7% from its open following the earnings release to be 0.7% below its 200 day moving average of $1,127.05. Overall earnings estimates have been revised lower since the company's last earnings release. On Thursday, January 24, 2019 there was some notable buying of 1,493 contracts of the $1,200.00 call expiring on Friday, February 15, 2019. Option traders are pricing in a 5.2% move on earnings and the stock has averaged a 3.8% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Twitter, Inc. $33.19

Twitter, Inc. (TWTR) is confirmed to report earnings at approximately 7:00 AM ET on Thursday, February 7, 2019. The consensus earnings estimate is $0.25 per share on revenue of $871.59 million and the Earnings Whisper ® number is $0.29 per share. Investor sentiment going into the company's earnings release has 73% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 38.89% with revenue increasing by 19.14%. Short interest has decreased by 54.7% since the company's last earnings release while the stock has drifted higher by 6.0% from its open following the earnings release to be 3.1% below its 200 day moving average of $34.24. Overall earnings estimates have been revised higher since the company's last earnings release. On Monday, December 31, 2018 there was some notable buying of 45,575 contracts of the $34.00 call expiring on Friday, March 15, 2019. Option traders are pricing in a 13.4% move on earnings and the stock has averaged a 13.9% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Snap Inc. $6.91

Snap Inc. (SNAP) is confirmed to report earnings at approximately 4:10 PM ET on Tuesday, February 5, 2019. The consensus estimate is for a loss of $0.08 per share on revenue of $376.64 million and the Earnings Whisper ® number is ($0.04) per share. Investor sentiment going into the company's earnings release has 31% expecting an earnings beat The company's guidance was for revenue of $355.00 million to $380.00 million. Consensus estimates are for year-over-year earnings growth of 27.27% with revenue increasing by 31.83%. Short interest has decreased by 1.8% since the company's last earnings release while the stock has drifted higher by 12.7% from its open following the earnings release to be 33.6% below its 200 day moving average of $10.40. Overall earnings estimates have been revised higher since the company's last earnings release. On Thursday, January 3, 2019 there was some notable buying of 29,739 contracts of the $7.00 call expiring on Friday, February 15, 2019. Option traders are pricing in a 15.7% move on earnings and the stock has averaged a 19.2% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Cleveland-Cliffs Inc $10.53

Cleveland-Cliffs Inc (CLF) is confirmed to report earnings at approximately 8:00 AM ET on Friday, February 8, 2019. The consensus earnings estimate is $0.57 per share on revenue of $713.61 million and the Earnings Whisper ® number is $0.63 per share. Investor sentiment going into the company's earnings release has 87% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 119.23% with revenue increasing by 18.76%. Short interest has increased by 4.6% since the company's last earnings release while the stock has drifted lower by 9.8% from its open following the earnings release to be 11.2% above its 200 day moving average of $9.47. Overall earnings estimates have been revised lower since the company's last earnings release. On Monday, January 7, 2019 there was some notable buying of 10,030 contracts of the $8.00 call expiring on Thursday, April 18, 2019. Option traders are pricing in a 9.4% move on earnings and the stock has averaged a 7.0% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Take-Two Interactive Software, Inc. $104.95

Take-Two Interactive Software, Inc. (TTWO) is confirmed to report earnings at approximately 7:00 AM ET on Wednesday, February 6, 2019. The consensus earnings estimate is $2.72 per share on revenue of $1.46 billion and the Earnings Whisper ® number is $2.82 per share. Investor sentiment going into the company's earnings release has 84% expecting an earnings beat The company's guidance was for earnings of $0.31 to $0.41 per share. Consensus estimates are for year-over-year earnings growth of 106.06% with revenue increasing by 203.64%. Short interest has increased by 37.1% since the company's last earnings release while the stock has drifted lower by 18.7% from its open following the earnings release to be 9.9% below its 200 day moving average of $116.52. Overall earnings estimates have been revised higher since the company's last earnings release. On Wednesday, January 23, 2019 there was some notable buying of 2,067 contracts of the $120.00 call expiring on Friday, February 15, 2019. Option traders are pricing in a 9.2% move on earnings and the stock has averaged a 8.3% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Alexion Pharmaceuticals, Inc. $126.28

Alexion Pharmaceuticals, Inc. (ALXN) is confirmed to report earnings at approximately 6:35 AM ET on Monday, February 4, 2019. The consensus earnings estimate is $1.82 per share on revenue of $1.06 billion and the Earnings Whisper ® number is $1.95 per share. Investor sentiment going into the company's earnings release has 67% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 23.81% with revenue increasing by 16.52%. Short interest has decreased by 16.7% since the company's last earnings release while the stock has drifted higher by 0.4% from its open following the earnings release to be 5.8% above its 200 day moving average of $119.40. On Friday, February 1, 2019 there was some notable buying of 1,235 contracts of the $130.00 call expiring on Friday, February 15, 2019. Option traders are pricing in a 7.8% move on earnings and the stock has averaged a 6.5% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Walt Disney Co $111.30

Walt Disney Co (DIS) is confirmed to report earnings at approximately 4:05 PM ET on Tuesday, February 5, 2019. The consensus earnings estimate is $1.57 per share on revenue of $15.18 billion and the Earnings Whisper ® number is $1.62 per share. Investor sentiment going into the company's earnings release has 71% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 16.93% with revenue decreasing by 1.11%. Short interest has increased by 7.2% since the company's last earnings release while the stock has drifted lower by 5.8% from its open following the earnings release to be 1.9% above its 200 day moving average of $109.22. Overall earnings estimates have been revised lower since the company's last earnings release. On Friday, February 1, 2019 there was some notable buying of 8,822 contracts of the $110.00 put expiring on Friday, February 8, 2019. Option traders are pricing in a 3.1% move on earnings and the stock has averaged a 2.2% move in recent quarters.

(CLICK HERE FOR THE CHART!)

BP p.l.c $41.34

BP p.l.c (BP) is confirmed to report earnings at approximately 5:25 AM ET on Tuesday, February 5, 2019. The consensus earnings estimate is $0.77 per share on revenue of $60.72 billion and the Earnings Whisper ® number is $0.75 per share. Investor sentiment going into the company's earnings release has 65% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 20.31% with revenue decreasing by 13.28%. Short interest has increased by 6.5% since the company's last earnings release while the stock has drifted lower by 1.6% from its open following the earnings release to be 3.9% below its 200 day moving average of $43.01. Overall earnings estimates have been revised lower since the company's last earnings release. On Thursday, January 17, 2019 there was some notable buying of 2,010 contracts of the $33.00 put expiring on Friday, January 17, 2020. Option traders are pricing in a 3.3% move on earnings and the stock has averaged a 2.1% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Clorox Co. $149.86

Clorox Co. (CLX) is confirmed to report earnings at approximately 6:30 AM ET on Monday, February 4, 2019. The consensus earnings estimate is $1.32 per share on revenue of $1.48 billion and the Earnings Whisper ® number is $1.34 per share. Investor sentiment going into the company's earnings release has 63% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 7.32% with revenue increasing by 4.52%. Short interest has decreased by 9.8% since the company's last earnings release while the stock has drifted higher by 3.5% from its open following the earnings release to be 5.9% above its 200 day moving average of $141.57. Overall earnings estimates have been revised lower since the company's last earnings release. On Friday, January 18, 2019 there was some notable buying of 1,025 contracts of the $152.50 put expiring on Friday, February 8, 2019. Option traders are pricing in a 4.7% move on earnings and the stock has averaged a 3.3% move in recent quarters.

(CLICK HERE FOR THE CHART!)

SYSCO Corp. $63.57

SYSCO Corp. (SYY) is confirmed to report earnings at approximately 8:00 AM ET on Monday, February 4, 2019. The consensus earnings estimate is $0.72 per share on revenue of $14.85 billion and the Earnings Whisper ® number is $0.73 per share. Investor sentiment going into the company's earnings release has 63% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 9.09% with revenue increasing by 3.04%. Short interest has decreased by 1.0% since the company's last earnings release while the stock has drifted lower by 2.0% from its open following the earnings release to be 5.6% below its 200 day moving average of $67.34. Overall earnings estimates have been revised lower since the company's last earnings release. On Friday, February 1, 2019 there was some notable buying of 1,691 contracts of the $66.00 call expiring on Friday, February 8, 2019. Option traders are pricing in a 4.5% move on earnings and the stock has averaged a 4.8% move in recent quarters.

(CLICK HERE FOR THE CHART!)

DISCUSS!

What are you all watching for in this upcoming trading week ahead?
Have a fantastic Sunday and a great trading week ahead to all here on stocks! ;)
submitted by bigbear0083 to stocks [link] [comments]

IB Commissions.

I wanted to talk a bit more about IB commissions, and how it can be used for the benefit of everyone here.
First, I want to reiterate, I am evangelical about IC Markets because they are so much better than the broker most of your currently will use. I’ve traded with these other brokers, I know how much they suck. A lot of you do not. You think they are good because they are so much better than your last one … but that broker may have been one of your first and be abominal.
For reference, the first broker I used would pay me $500 - $700 per head to sign people up there (a hell of a lot more than I get at IC). I would not sign anyone up there, because it sucks. I could probably make $50,000 a year doing this and the brokers a lot of you use are so bad I actively turn that down.
Let’s talk about what IB commissions can be used for. See, money is just a means to an end. The end for most people is some sort of enjoyment, experience or achievement. The purpose of this sub is to help people find their feet then find their profits in the Forex markets, and this end can be far better met with money to push it along.
Let’s say hypothetically there were 10,000 people here and each of them made me $1 a month. $10,000 a month income. I honestly do not need this much money. I am just not that greedy, and I just do not have that expensive taste. So I would be willing to put in a big chunk of this to improving the sub.
Things I could do would include buying trading tools/softwares/indicators/EAs that I could then give away to you for free. Buying educational resources with re-seller rights, so I could then give it away to you for free.
I can hire in people with professional understanding of the industry, and pay them to be here helping you (and to expect professionals not to be paid to teach you a high value skill, is selfish and greedy). So there are people here all the time that know how to help you and are rewarded for doing so. This is such a win/win/win. I buy free time, someone gets steady income and you guys get free quality education. It is a great scenario to aspire towards.
Another thing I can do is fund investment accounts for those of you who show good promise to be able to advance into asset management. I can set you up with seed capital, set up managed account structures where I contract a fee with you and let you trade funds I invest. If you do well, the track record from this can be used to get you into more serious asset management when you’re ready for that.
If we have homegrown money managers, this can serve towards those looking for that service but unsure who can be trusted. The asset managers here you will be able to track their progression from testing funds to increased funds. Those of you who become proficient in helping new people with their questions can perhaps be paid for contributions.
Let’s be real about this, we are in Forex to make money. Making money is about being pragmatic and ensuring you take opportunities. Through IB commissions, I can create far more opportunities for people here than I could otherwise. It makes sense to do it. It is the difference between being able to do something pretty good, and something really great.
Those of you sho stick around long enough will come to see I am a very fair person. Anything I gain from this I will share with you to further improve things for everyone.
submitted by inweedwetrust to Forexnoobs [link] [comments]

Differences between MetaTrader4 and MetaTrader5

MetaTrader4 (MT4) and MetaTrader5 (MT5) are the industry's two most popular and leading trading platforms for forex trading transactions. MT4 and MT5 both excel in providing automated trading systems with expert advisors. MT4 and MT5 being the platforms for same transactions though are different in their functions and workings. It's just a myth that MT5 is an upgrade of MT4.
MT4 was specifically developed for forex traders and MT5 was developed to provide traders with access to CFDs, stocks and futures. MT4 uses a programming language called MQL4 whereas MT5 uses MQL5. MT5 with MQL5 is considered to be easier to program as it allows 'Blackbox" programming which provides a better framework for users and developers of trading robots and another EA's. However, MetaQuotes have led to initiate this capability in MQL4 too leaving no difference between these two platforms. MQL4 is basically used for developing trading programmed whereas MQL5 is used to add a positional system. MQL4 requires multiple functions at one time to perform a trading transaction whereas MQL5 are faster and more efficient to execute a trading transaction as it requires only one function to work for sending trade requests.
Programs written and framed to function in MT4 cannot run in MT5. Though MT5 retains two of the basic programming advantages over MT4. Firstly, being its back-testing functions where you can test your programmed trading strategies and execute them at higher speed. This would save a lot of time and assist to run large number of back tests. Secondly, it allows multi-currency pair back testing which being together can speed up your back-testing procedures.
MT4 provides convenience to its users to customize the interface according to their trading needs. It also provides a simple and easy interface to operate. Whereas, Mt5 comes up with more additional features with providing the option to trade futures and stocks. Though MT5 has a similar layout but it offers more timeframes, services and advantages.
There are also some technical differences between MT4 and MT5 :-
· MT4 has 3 order execution types whereas MT5 has 4 order execution types.
· MT5 poses an advantage with providing partial order filing which is not in the features of MT4.
· MT5 can be netted whereas MT4 cannot.
· MT5 depicts reports in a proper format of a chart (HTML5) and tables whereas MT4 uses just the tables.
· MT5 promotes automated Log file Zip compression whereas MT4 do not.
Well after coming across various differences between MT4 and MT5 , we can ascertain that MT5 poses a better picture with added features and improved technological upgradations. Though it depends upon your usage i.e. for instance if you are new to trading and are looking to trade forex than MT4 is probable to use for the beginners whereas if you are aiming to have more versatile technology and software with extra added professional features than MT5 is the ideal option.
We here at Tradingstacks provide you option to trade from both MT4 and MT5 to give you wide varieties of platforms to trade and earn you benefits with our fast trading servers. So, what are you waiting for, get your Forex trading plan now from Tradingstacks and earn in milliseconds.
submitted by tradingstacksindia to u/tradingstacksindia [link] [comments]

COMPREHENSIVE Forex Trading SOLUTION/ANSWER; FEEDBACK NEEDED

The following is a comprehensive response outlining a viable, reasonable, scalable, and sustainable solution for achieving financial independence/prosperity. Please let me know what you think as I would appreciate your feedback.
Trade the financial markets, specifically Forex trading. It's a fkin trillion dollar industry! There are a plethora of businesses online that sell software to meet the trading/investment needs of various demanding clients.
Just look up online EAs (Expert Advisor, which is automated/algorithmic trading, for Meta Trader 4), verify results using the myfxbook website (i.e. a reputable independent third-party website that certifies and tracks the record/performance of various trading strategies/systems, including commercial EAs), purchase the EA, verify results again by running/performing both a backtest and a forward test (i.e. paper trading on a demo account), and then, and only then can/should you use the EA with real money trading on a live/real account.
You can verify the EA's reliability by performing a backtest for a "significant" time period (for example 5-10 years; or depending on the "frequency" of trades placed from the EA) coupled with 2-3 months of forward testing (i.e. paper trading on a demo account) and if the results are "consistently" profitable (i.e. "overall consistent" "monthly" profits from both backtesting and forward testing) with drawdowns being not "too much/high/extreme" AND not "too frequent", then you can go live and trade using real money.
It's okay to expect a particular trading strategy/system to expire (i.e. lose its edge, or for profits to weaken/deteriorate/diminish). When that time comes, simply go onto the next “hot/trendy” EA or if you were fortunate enough to accumulate significant profits, you can store those profits in an interest-savings account and receive periodic income that way.
The purpose of backtesting and forward testing is to ensure drawdowns are not "too much/high/extreme" AND not "too frequent", AND that there is proper risk management "embedded within the EA", thus minimizing/avoiding the risk of "extreme" drawdown or "extreme" losses when using real money.
Note: The switch to "another" hot/trendy EA should be made when the profits earned from the "current" EA have reached a point/level where it no longer appeals to the individual's interest/preference. However, if there is an "unusual/unexpected/unanticipated" "significant" drawdown (according to the performed backtest and forward test), then that would unfortunately represent an actual/real risk/loss incurred by the individual (and would still require a switch to another hot/trendy EA). This risk can be "mitigated/minimized" by performing a backtest "AND" a forward test (both for a "significant" time period, i.e. depending on the "frequency" of trades placed from the EA), AND by conducting a proper psychological evaluation of the EA seller (as an "individual" entity), i.e. evaluating their reliability, logic, and confidence when it comes to addressing/answering relevant/crucial questions pertaining to Forex/Finance/Trading/Investing (rather than asking for or needing specific details regarding their intellectual property or proprietary strategy/system/software, i.e. their source code or trading methodology).
Ultimately, it comes down to “risk tolerance” while taking into account the results obtained from backtesting and forward testing, as well as the level of confidence and trust you impart/place on the person/group selling/distributing the EA.
Note: refer to the Investopedia website for definitions on the following terminology/vocabulary: backtesting, forward testing (i.e. paper trading on a demo account), drawdown (DD), maximum drawdown (MDD or MaxDD), and monthly/annual ROI (return on investment, as a percentage).
Also, note: "focus" on testing for maximum drawdown (MDD or MaxDD) (making sure drawdowns are not "too much/high/extreme" AND not "too frequent"; for example, not greater than 30%-50%, depending on your risk tolerance or preference) and looking for a "track-record" of "overall consistent" "monthly" profits from both backtesting and forward testing, i.e. paper trading on a demo account (both for a "significant" time period, depending on the "frequency" of trades placed from the EA). This "track-record" can be "verified" either through the "myfxbook" website or through the combined use of backtesting and forward testing.
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Each and every year, students graduate from college and university. How is it "economically feasible" to provide jobs for all or most of these people? My understanding is that people need to display a good understanding of the psychology of first impression, which includes genuine/authentic personality, trustworthiness, and competency (reflected in education); in other words, honest, reliable, and competent in relevant matters, or integrity, energy, and intelligence.
Problem: The individual's attainment of their “desired dream/career job", which is their ultimate purpose for pursuing "rigorous" higher education (i.e. college or university) or "rigorous" professional education (i.e. apprenticeship or trades).
I believe that a lot of people attend college and university with the hope that they will obtain a job after they graduate, a job that will support them financially. If money is the primary reason for their pursuing higheprofessional education, shouldn't they be "informed" (as part of a global/collective civic/social responsibility) that there are alternative ways of making money (personally, namely, trading the financial markets), ones that will actually lead them to, or at least have a higher probability of leading them to, financial independence/prosperity, since the chances of them achieving such goal upon graduation from college/university is realistically slim – if not the problem of difficulty finding employment related to their “desired careedream job”, then the problem of a dead-end mediocre job with a “fixed” “small” salary?
Should we, as a society, steer people away from college/university, often temporarily, since, let's be honest, our society is currently producing "a lot" of "mediocre" individuals with no real chance of obtaining a job that they were initially in pursuit of? Can we, as a society, do a better job of "realizing" and "maximizing" the talents/skills of these "mediocre" individuals, i.e. individuals who have no real chance of obtaining a job which they had been (or currently are) pursuing/studying rigorously for?
After going through a proper evaluation of current circumstances and current options, I've realized that people need to get certain things in their life straight "before" working on pursuing higheprofessional education – i.e. Health > Wealth > Education/”Prestige”.
The mass of people who pursue college and university because their program is in high demand are ones that are studying the program not for its unique intricacies, but rather only for graduation with the expectation that they "deserve" to be rewarded a job. As opposed to, respect and appreciation to the language their subject takes on (whether that be Accounting language or Computer Programming language, etc.). Respect and appreciation for a subject or field is displayed when the person engages with the subject or field with a “critical thinking” mindset, with the main purpose/goal of analyzing and critiquing thoroughly the accuracy of any statement presented to them that is related to their chosen subject or field, i.e. effectively utilizing journaling and documentation (see relevant section below, point #1 of 2 under “ESSENTIAL/CRUCIAL” for more details); this main purpose/goal is often rooted from a genuine desire/interest/passion for pursuing/studying their chosen subject or field.
The simple fact remains that it is simply not economically feasible to provide jobs to meet the constant influx of supply being produced by colleges and universities, "each" and "every" year. As a result, why are people making the foolish decision to incur immense amount of “DEBT” (keyword) while pursuing higheprofessional education when the economic reality simply does not provide enough jobs for society, i.e. jobs that are specifically expected of from college and university graduates?
Quoted from someone else: "Our societies have for so long told us that education can and should equate to professional success, which should equate to economic success, yet we are entering a period where that simply can't occur. The foundation that those notions were created upon doesn't exist any longer, given how we have evolved and grown as a species, and we have yet to make the transition to a new set of notions."
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Some ESSENTIAL/CRUCIAL characteristics of an individual who exhibits genuine desire/interest/passion for pursuing/studying their chosen subject/field (especially at the higher education or professional education level) are as follows:
1) Effective "Information Management" strategy (utilizing journaling and documentation). The individual had made it a priority to create and compile personal notes or online documents for the purpose of future-reference and documentation – for potential revision, self-reflection, self-correction, or discovery, as this is crucial for knowledge retrieval, knowledge retention, as well as knowledge synthesis and creating/generating new knowledge. Note: information becomes knowledge when you regard the information as valuable and when you make the conscious decision to keep it as part of your notes with the expectation/option of using it in the future; knowledge is information in action, so actually using the information, instead of dismissing it as irrelevant.
Response from another individual/writer:
  • I don't mean that all information has to be kept as notes, nor that other strategies/tactics of finding/retrieving information aren't valuable. I don't even mean that it's impossible for someone to exist/operate without ever taking any notes. Most saliently, I'm more saying that to categorically omit note-taking from one's information management capabilities/strategy is to invite unnecessary trouble, likely to the point of dysfunction, unless one happens to never be doing anything that involves any significantly elusive information to begin with.
  • My bias toward this assessment is reinforced by 25+ years of highly-technical work that has resulted in literally thousands (or tens-of-thousands) of pieces of information, extremely valuable to me, that can't be readily found anywhere but in my notes.
  • Some of it is information specifically originating with myself – there's no one or nowhere else from which it can be gotten. Some of it is information that took me immense amounts of time, thought, and effort to find/acquire, and I would never want to have to try to find it again. Most of these things are in my notes because they have either already disappeared, or are likely to disappear, off of the internet, or don't lend themselves well to simple bookmark-able reference.
  • Another way of saying this is that personally-kept notes are a reflection of the time/effort/insight one has had to put into acquiring the information, combined with the value of retrieval efficiency (organized for one's own retrieval needs). To subject yourself to relying on reproduction of that time/effort and self-organization is to either admit that the time/effort isn't significant (i.e. the information is rather trivial or ubiquitous in nature), or that your own time/effort spent isn't worth much (if you're willing to repeat it).
  • Also, if one assumes that the information is always going to be right where you can easily find it, or even right where you found it before, that's actually just naive.
  • While its true you still need to expend time/effort into locating the info, it has been organized specifically how YOU determine it should be, and thus truncates any actual "overhead" involved in the typical "location" process, not to mention the guarantee that it's actually there to find. Note: overhead expense refers to an ongoing expense of operating a business; it is also known as an "operating expense".
  • As a simple/clear example: if you've never spent hours sifting through the deluge from the Google sewer pipe flooding into your browser, just to find anything remotely relevant to the fairly elusive technical scenario you're trying to resolve, then you're probably not acquainted with really anything I'm talking about, and your dismissal would then represent simply being unaware.
2) The individual is ASSERTIVE and NOT PASSIVE towards the subject they are studying. They are WILLING to articulate and share important ideas and concepts from the subject they are studying. The individual is not seen as someone who is under the spell/act (i.e. false and disingenuous impression of superior intelligence) of mindless regurgitation but rather, the individual is able to offer their OWN UNIQUE interpretation on the subject they are studying, while also citing important concepts or ideas where citation is necessary. In other words, the individual demonstrates "individual competency" THROUGH the subject they are studying and are ultimately/inherently passionate about. The individual's competency (i.e. his/her opinion or interpretation of what is relevant or accurate information) is demonstrated through the individual's pattern of logical and coherent thinking, as well as through the individual's writing style (which displays "CONFIDENCE" in what the individual is presenting as relevant or accurate information).
~~~~~~~~~~~~~~~~~~~~
Relevant response from another individual:
Decide where you fall on the self-directed spectrum.
Highly self-directed: technical books and MOOCs (Massive Open Online Courses)
Average: an online community + curriculum like Free Code Camp or theodinproject.com
Not very self-directed: An in-person coding boot camp like Hack Reactor or App Academy; similar to “subpamediocre” college/university “classroom” learning.
~~~~~~~~~~~~~~~~~~~~
There are only so many ways of acquiring wealth (with only some methods actually leading to long-term/sustainable financial independence/prosperity):
1) Real Estate
2) Owning a business; being an entrepreneur
3) Career Job requiring higher education (i.e. college or university) or professional education (i.e. apprenticeship or trades)
4) Minimum Wage Jobs
5) Trading the financial markets; making financial “investments” (stocks, forex, futures, options, equities, commodities, etc.)
~~~~~~~~~~~~~~~~~~~~
Pseudo-Intellectual versus Intellectual (the following is a response from another individual/writer):
An intellectual follows the values and attitudes of Critical Thinking, and exercises good thinking habits. Their interest lies in discovery and self-correction.
The traits of a true intellectual are as follows:
  • intellectual humility – recognizing the limits and sensitivities of one's experience.
  • intellectual courage – ability to examine things and/or state results or potentialities, even if it may be costly/risky to your personal beliefs, or social acceptance, established norms or theories. The ability to put things at risk. Even if they are your own cherished ideas or beliefs that you are putting at risk.
  • intellectual empathy – knowing that you have to imaginatively put yourself in the place of others in order to understand them.
  • intellectual autonomy – being able to think independently, to carry through without constant guidance from others, and sometimes even to come to different conclusions.
  • intellectual integrity – holding yourself to the same standards you hold others, and holding all beliefs to the same standards.
  • intellectual honesty – being willing to admit discrepancies and avoid overlooking exceptions, even to oneself.
  • intellectual perseverance – having the patience to struggle through difficult or complex problems.
  • confidence in reason – willingness to follow the logic where-ever it leads.
  • fair-mindedness – avoiding making unjustified special exceptions or privileges. Holding all viewpoints to the same standards. This does not mean that all views are equal; it means they all are held to the same universal standards. They might end up meeting those standards very unequally. For instance: the theory of evolution vs the fable of creation, or climate change vs science denialism.
A pseudo-intellectual does not do these things. Their interest lies not in discovery and self-correction, but in confirmation of what is already believed. Confirmation Bias. Their "thinking" style is characterized by cognitive biases, a lack of self-reflection/self-correction, a lack of rigor and completeness, and applying woefully different standards to beliefs/ideas that they cherish, and any information that calls them into question.
~~~~~~~~~~~~~~~~~~~~
submitted by gentlestream to Forex [link] [comments]

Feedback Needed

The following is a comprehensive response outlining a viable, reasonable, scalable, and sustainable solution for achieving financial independence/prosperity. Please let me know what you think as I would appreciate your feedback.
Trade the financial markets, specifically Forex trading. It's a fkin trillion dollar industry! There are a plethora of businesses online that sell software to meet the trading/investment needs of various demanding clients.
Just look up online EAs (Expert Advisor, which is automated/algorithmic trading, for Meta Trader 4), verify results using the myfxbook website (i.e. a reputable independent third-party website that certifies and tracks the record/performance of various trading strategies/systems, including commercial EAs), purchase the EA, verify results again by running/performing both a backtest and a forward test (i.e. paper trading on a demo account), and then, and only then can/should you use the EA with real money trading on a live/real account.
You can verify the EA's reliability by performing a backtest for a "significant" time period (for example 5-10 years; or depending on the "frequency" of trades placed from the EA) coupled with 2-3 months of forward testing (i.e. paper trading on a demo account) and if the results are "consistently" profitable (i.e. "overall consistent" "monthly" profits from both backtesting and forward testing) with drawdowns being not "too much/high/extreme" AND not "too frequent", then you can go live and trade using real money.
It's okay to expect a particular trading strategy/system to expire (i.e. lose its edge, or for profits to weaken/deteriorate/diminish). When that time comes, simply go onto the next “hot/trendy” EA or if you were fortunate enough to accumulate significant profits, you can store those profits in an interest-savings account and receive periodic income that way.
The purpose of backtesting and forward testing is to ensure drawdowns are not "too much/high/extreme" AND not "too frequent", AND that there is proper risk management "embedded within the EA", thus minimizing/avoiding the risk of "extreme" drawdown or "extreme" losses when using real money.
Note: The switch to "another" hot/trendy EA should be made when the profits earned from the "current" EA have reached a point/level where it no longer appeals to the individual's interest/preference. However, if there is an "unusual/unexpected/unanticipated" "significant" drawdown (according to the performed backtest and forward test), then that would unfortunately represent an actual/real risk/loss incurred by the individual (and would still require a switch to another hot/trendy EA). This risk can be "mitigated/minimized" by performing a backtest "AND" a forward test (both for a "significant" time period, i.e. depending on the "frequency" of trades placed from the EA), AND by conducting a proper psychological evaluation of the EA seller (as an "individual" entity), i.e. evaluating their reliability, logic, and confidence when it comes to addressing/answering relevant/crucial questions pertaining to Forex/Finance/Trading/Investing (rather than asking for or needing specific details regarding their intellectual property or proprietary strategy/system/software, i.e. their source code or trading methodology).
Ultimately, it comes down to “risk tolerance” while taking into account the results obtained from backtesting and forward testing, as well as the level of confidence and trust you impart/place on the person/group selling/distributing the EA.
Note: refer to the Investopedia website for definitions on the following terminology/vocabulary: backtesting, forward testing (i.e. paper trading on a demo account), drawdown (DD), maximum drawdown (MDD or MaxDD), and monthly/annual ROI (return on investment, as a percentage).
Also, note: "focus" on testing for maximum drawdown (MDD or MaxDD) (making sure drawdowns are not "too much/high/extreme" AND not "too frequent"; for example, not greater than 30%-50%, depending on your risk tolerance or preference) and looking for a "track-record" of "overall consistent" "monthly" profits from both backtesting and forward testing, i.e. paper trading on a demo account (both for a "significant" time period, depending on the "frequency" of trades placed from the EA). This "track-record" can be "verified" either through the "myfxbook" website or through the combined use of backtesting and forward testing.
~~~~~~~~~~~~~~~~~~~~
~~~~~~~~~~~~~~~~~~~~
Each and every year, students graduate from college and university. How is it "economically feasible" to provide jobs for all or most of these people? My understanding is that people need to display a good understanding of the psychology of first impression, which includes genuine/authentic personality, trustworthiness, and competency (reflected in education); in other words, honest, reliable, and competent in relevant matters, or integrity, energy, and intelligence.
Problem: The individual's attainment of their “desired dream/career job", which is their ultimate purpose for pursuing "rigorous" higher education (i.e. college or university) or "rigorous" professional education (i.e. apprenticeship or trades).
I believe that a lot of people attend college and university with the hope that they will obtain a job after they graduate, a job that will support them financially. If money is the primary reason for their pursuing higheprofessional education, shouldn't they be "informed" (as part of a global/collective civic/social responsibility) that there are alternative ways of making money (personally, namely, trading the financial markets), ones that will actually lead them to, or at least have a higher probability of leading them to, financial independence/prosperity, since the chances of them achieving such goal upon graduation from college/university is realistically slim – if not the problem of difficulty finding employment related to their “desired careedream job”, then the problem of a dead-end mediocre job with a “fixed” “small” salary?
Should we, as a society, steer people away from college/university, often temporarily, since, let's be honest, our society is currently producing "a lot" of "mediocre" individuals with no real chance of obtaining a job that they were initially in pursuit of? Can we, as a society, do a better job of "realizing" and "maximizing" the talents/skills of these "mediocre" individuals, i.e. individuals who have no real chance of obtaining a job which they had been (or currently are) pursuing/studying rigorously for?
After going through a proper evaluation of current circumstances and current options, I've realized that people need to get certain things in their life straight "before" working on pursuing higheprofessional education – i.e. Health > Wealth > Education/”Prestige”.
The mass of people who pursue college and university because their program is in high demand are ones that are studying the program not for its unique intricacies, but rather only for graduation with the expectation that they "deserve" to be rewarded a job. As opposed to, respect and appreciation to the language their subject takes on (whether that be Accounting language or Computer Programming language, etc.). Respect and appreciation for a subject or field is displayed when the person engages with the subject or field with a “critical thinking” mindset, with the main purpose/goal of analyzing and critiquing thoroughly the accuracy of any statement presented to them that is related to their chosen subject or field, i.e. effectively utilizing journaling and documentation (see relevant section below, point #1 of 2 under “ESSENTIAL/CRUCIAL” for more details); this main purpose/goal is often rooted from a genuine desire/interest/passion for pursuing/studying their chosen subject or field.
The simple fact remains that it is simply not economically feasible to provide jobs to meet the constant influx of supply being produced by colleges and universities, "each" and "every" year. As a result, why are people making the foolish decision to incur immense amount of “DEBT” (keyword) while pursuing higheprofessional education when the economic reality simply does not provide enough jobs for society, i.e. jobs that are specifically expected of from college and university graduates?
Quoted from someone else: "Our societies have for so long told us that education can and should equate to professional success, which should equate to economic success, yet we are entering a period where that simply can't occur. The foundation that those notions were created upon doesn't exist any longer, given how we have evolved and grown as a species, and we have yet to make the transition to a new set of notions."
~~~~~~~~~~~~~~~~~~~~
Some ESSENTIAL/CRUCIAL characteristics of an individual who exhibits genuine desire/interest/passion for pursuing/studying their chosen subject/field (especially at the higher education or professional education level) are as follows:
1) Effective "Information Management" strategy (utilizing journaling and documentation). The individual had made it a priority to create and compile personal notes or online documents for the purpose of future-reference and documentation – for potential revision, self-reflection, self-correction, or discovery, as this is crucial for knowledge retrieval, knowledge retention, as well as knowledge synthesis and creating/generating new knowledge. Note: information becomes knowledge when you regard the information as valuable and when you make the conscious decision to keep it as part of your notes with the expectation/option of using it in the future; knowledge is information in action, so actually using the information, instead of dismissing it as irrelevant.
Response from another individual/writer:
  • I don't mean that all information has to be kept as notes, nor that other strategies/tactics of finding/retrieving information aren't valuable. I don't even mean that it's impossible for someone to exist/operate without ever taking any notes. Most saliently, I'm more saying that to categorically omit note-taking from one's information management capabilities/strategy is to invite unnecessary trouble, likely to the point of dysfunction, unless one happens to never be doing anything that involves any significantly elusive information to begin with.
  • My bias toward this assessment is reinforced by 25+ years of highly-technical work that has resulted in literally thousands (or tens-of-thousands) of pieces of information, extremely valuable to me, that can't be readily found anywhere but in my notes.
  • Some of it is information specifically originating with myself – there's no one or nowhere else from which it can be gotten. Some of it is information that took me immense amounts of time, thought, and effort to find/acquire, and I would never want to have to try to find it again. Most of these things are in my notes because they have either already disappeared, or are likely to disappear, off of the internet, or don't lend themselves well to simple bookmark-able reference.
  • Another way of saying this is that personally-kept notes are a reflection of the time/effort/insight one has had to put into acquiring the information, combined with the value of retrieval efficiency (organized for one's own retrieval needs). To subject yourself to relying on reproduction of that time/effort and self-organization is to either admit that the time/effort isn't significant (i.e. the information is rather trivial or ubiquitous in nature), or that your own time/effort spent isn't worth much (if you're willing to repeat it).
  • Also, if one assumes that the information is always going to be right where you can easily find it, or even right where you found it before, that's actually just naive.
  • While its true you still need to expend time/effort into locating the info, it has been organized specifically how YOU determine it should be, and thus truncates any actual "overhead" involved in the typical "location" process, not to mention the guarantee that it's actually there to find. Note: overhead expense refers to an ongoing expense of operating a business; it is also known as an "operating expense".
  • As a simple/clear example: if you've never spent hours sifting through the deluge from the Google sewer pipe flooding into your browser, just to find anything remotely relevant to the fairly elusive technical scenario you're trying to resolve, then you're probably not acquainted with really anything I'm talking about, and your dismissal would then represent simply being unaware.
2) The individual is ASSERTIVE and NOT PASSIVE towards the subject they are studying. They are WILLING to articulate and share important ideas and concepts from the subject they are studying. The individual is not seen as someone who is under the spell/act (i.e. false and disingenuous impression of superior intelligence) of mindless regurgitation but rather, the individual is able to offer their OWN UNIQUE interpretation on the subject they are studying, while also citing important concepts or ideas where citation is necessary. In other words, the individual demonstrates "individual competency" THROUGH the subject they are studying and are ultimately/inherently passionate about. The individual's competency (i.e. his/her opinion or interpretation of what is relevant or accurate information) is demonstrated through the individual's pattern of logical and coherent thinking, as well as through the individual's writing style (which displays "CONFIDENCE" in what the individual is presenting as relevant or accurate information).
~~~~~~~~~~~~~~~~~~~~
Relevant response from another individual:
Decide where you fall on the self-directed spectrum.
Highly self-directed: technical books and MOOCs (Massive Open Online Courses)
Average: an online community + curriculum like Free Code Camp or theodinproject.com
Not very self-directed: An in-person coding boot camp like Hack Reactor or App Academy; similar to “subpamediocre” college/university “classroom” learning.
~~~~~~~~~~~~~~~~~~~~
There are only so many ways of acquiring wealth (with only some methods actually leading to long-term/sustainable financial independence/prosperity):
1) Real Estate
2) Owning a business; being an entrepreneur
3) Career Job requiring higher education (i.e. college or university) or professional education (i.e. apprenticeship or trades)
4) Minimum Wage Jobs
5) Trading the financial markets; making financial “investments” (stocks, forex, futures, options, equities, commodities, etc.)
~~~~~~~~~~~~~~~~~~~~
Pseudo-Intellectual versus Intellectual (the following is a response from another individual/writer):
An intellectual follows the values and attitudes of Critical Thinking, and exercises good thinking habits. Their interest lies in discovery and self-correction.
The traits of a true intellectual are as follows:
  • intellectual humility – recognizing the limits and sensitivities of one's experience.
  • intellectual courage – ability to examine things and/or state results or potentialities, even if it may be costly/risky to your personal beliefs, or social acceptance, established norms or theories. The ability to put things at risk. Even if they are your own cherished ideas or beliefs that you are putting at risk.
  • intellectual empathy – knowing that you have to imaginatively put yourself in the place of others in order to understand them.
  • intellectual autonomy – being able to think independently, to carry through without constant guidance from others, and sometimes even to come to different conclusions.
  • intellectual integrity – holding yourself to the same standards you hold others, and holding all beliefs to the same standards.
  • intellectual honesty – being willing to admit discrepancies and avoid overlooking exceptions, even to oneself.
  • intellectual perseverance – having the patience to struggle through difficult or complex problems.
  • confidence in reason – willingness to follow the logic where-ever it leads.
  • fair-mindedness – avoiding making unjustified special exceptions or privileges. Holding all viewpoints to the same standards. This does not mean that all views are equal; it means they all are held to the same universal standards. They might end up meeting those standards very unequally. For instance: the theory of evolution vs the fable of creation, or climate change vs science denialism.
A pseudo-intellectual does not do these things. Their interest lies not in discovery and self-correction, but in confirmation of what is already believed. Confirmation Bias. Their "thinking" style is characterized by cognitive biases, a lack of self-reflection/self-correction, a lack of rigor and completeness, and applying woefully different standards to beliefs/ideas that they cherish, and any information that calls them into question.
~~~~~~~~~~~~~~~~~~~~
submitted by gentlestream to algotrading [link] [comments]

Feedback Needed

The following is a comprehensive response outlining a viable, reasonable, scalable, and sustainable solution for achieving financial independence/prosperity. Please let me know what you think as I would appreciate your feedback.
Trade the financial markets, specifically Forex trading. It's a fkin trillion dollar industry! There are a plethora of businesses online that sell software to meet the trading/investment needs of various demanding clients.
Just look up online EAs (Expert Advisor, which is automated/algorithmic trading, for Meta Trader 4), verify results using the myfxbook website (i.e. a reputable independent third-party website that certifies and tracks the record/performance of various trading strategies/systems, including commercial EAs), purchase the EA, verify results again by running/performing both a backtest and a forward test (i.e. paper trading on a demo account), and then, and only then can/should you use the EA with real money trading on a live/real account.
You can verify the EA's reliability by performing a backtest for a "significant" time period (for example 5-10 years; or depending on the "frequency" of trades placed from the EA) coupled with 2-3 months of forward testing (i.e. paper trading on a demo account) and if the results are "consistently" profitable (i.e. "overall consistent" "monthly" profits from both backtesting and forward testing) with drawdowns being not "too much/high/extreme" AND not "too frequent", then you can go live and trade using real money.
It's okay to expect a particular trading strategy/system to expire (i.e. lose its edge, or for profits to weaken/deteriorate/diminish). When that time comes, simply go onto the next “hot/trendy” EA or if you were fortunate enough to accumulate significant profits, you can store those profits in an interest-savings account and receive periodic income that way.
The purpose of backtesting and forward testing is to ensure drawdowns are not "too much/high/extreme" AND not "too frequent", AND that there is proper risk management "embedded within the EA", thus minimizing/avoiding the risk of "extreme" drawdown or "extreme" losses when using real money.
Note: The switch to "another" hot/trendy EA should be made when the profits earned from the "current" EA have reached a point/level where it no longer appeals to the individual's interest/preference. However, if there is an "unusual/unexpected/unanticipated" "significant" drawdown (according to the performed backtest and forward test), then that would unfortunately represent an actual/real risk/loss incurred by the individual (and would still require a switch to another hot/trendy EA). This risk can be "mitigated/minimized" by performing a backtest "AND" a forward test (both for a "significant" time period, i.e. depending on the "frequency" of trades placed from the EA), AND by conducting a proper psychological evaluation of the EA seller (as an "individual" entity), i.e. evaluating their reliability, logic, and confidence when it comes to addressing/answering relevant/crucial questions pertaining to Forex/Finance/Trading/Investing (rather than asking for or needing specific details regarding their intellectual property or proprietary strategy/system/software, i.e. their source code or trading methodology).
Ultimately, it comes down to “risk tolerance” while taking into account the results obtained from backtesting and forward testing, as well as the level of confidence and trust you impart/place on the person/group selling/distributing the EA.
Note: refer to the Investopedia website for definitions on the following terminology/vocabulary: backtesting, forward testing (i.e. paper trading on a demo account), drawdown (DD), maximum drawdown (MDD or MaxDD), and monthly/annual ROI (return on investment, as a percentage).
Also, note: "focus" on testing for maximum drawdown (MDD or MaxDD) (making sure drawdowns are not "too much/high/extreme" AND not "too frequent"; for example, not greater than 30%-50%, depending on your risk tolerance or preference) and looking for a "track-record" of "overall consistent" "monthly" profits from both backtesting and forward testing, i.e. paper trading on a demo account (both for a "significant" time period, depending on the "frequency" of trades placed from the EA). This "track-record" can be "verified" either through the "myfxbook" website or through the combined use of backtesting and forward testing.
~~~~~~~~~~~~~~~~~~~~
~~~~~~~~~~~~~~~~~~~~
Each and every year, students graduate from college and university. How is it "economically feasible" to provide jobs for all or most of these people? My understanding is that people need to display a good understanding of the psychology of first impression, which includes genuine/authentic personality, trustworthiness, and competency (reflected in education); in other words, honest, reliable, and competent in relevant matters, or integrity, energy, and intelligence.
Problem: The individual's attainment of their “desired dream/career job", which is their ultimate purpose for pursuing "rigorous" higher education (i.e. college or university) or "rigorous" professional education (i.e. apprenticeship or trades).
I believe that a lot of people attend college and university with the hope that they will obtain a job after they graduate, a job that will support them financially. If money is the primary reason for their pursuing higheprofessional education, shouldn't they be "informed" (as part of a global/collective civic/social responsibility) that there are alternative ways of making money (personally, namely, trading the financial markets), ones that will actually lead them to, or at least have a higher probability of leading them to, financial independence/prosperity, since the chances of them achieving such goal upon graduation from college/university is realistically slim – if not the problem of difficulty finding employment related to their “desired careedream job”, then the problem of a dead-end mediocre job with a “fixed” “small” salary?
Should we, as a society, steer people away from college/university, often temporarily, since, let's be honest, our society is currently producing "a lot" of "mediocre" individuals with no real chance of obtaining a job that they were initially in pursuit of? Can we, as a society, do a better job of "realizing" and "maximizing" the talents/skills of these "mediocre" individuals, i.e. individuals who have no real chance of obtaining a job which they had been (or currently are) pursuing/studying rigorously for?
After going through a proper evaluation of current circumstances and current options, I've realized that people need to get certain things in their life straight "before" working on pursuing higheprofessional education – i.e. Health > Wealth > Education/”Prestige”.
The mass of people who pursue college and university because their program is in high demand are ones that are studying the program not for its unique intricacies, but rather only for graduation with the expectation that they "deserve" to be rewarded a job. As opposed to, respect and appreciation to the language their subject takes on (whether that be Accounting language or Computer Programming language, etc.). Respect and appreciation for a subject or field is displayed when the person engages with the subject or field with a “critical thinking” mindset, with the main purpose/goal of analyzing and critiquing thoroughly the accuracy of any statement presented to them that is related to their chosen subject or field, i.e. effectively utilizing journaling and documentation (see relevant section below, point #1 of 2 under “ESSENTIAL/CRUCIAL” for more details); this main purpose/goal is often rooted from a genuine desire/interest/passion for pursuing/studying their chosen subject or field.
The simple fact remains that it is simply not economically feasible to provide jobs to meet the constant influx of supply being produced by colleges and universities, "each" and "every" year. As a result, why are people making the foolish decision to incur immense amount of “DEBT” (keyword) while pursuing higheprofessional education when the economic reality simply does not provide enough jobs for society, i.e. jobs that are specifically expected of from college and university graduates?
Quoted from someone else: "Our societies have for so long told us that education can and should equate to professional success, which should equate to economic success, yet we are entering a period where that simply can't occur. The foundation that those notions were created upon doesn't exist any longer, given how we have evolved and grown as a species, and we have yet to make the transition to a new set of notions."
~~~~~~~~~~~~~~~~~~~~
Some ESSENTIAL/CRUCIAL characteristics of an individual who exhibits genuine desire/interest/passion for pursuing/studying their chosen subject/field (especially at the higher education or professional education level) are as follows:
1) Effective "Information Management" strategy (utilizing journaling and documentation). The individual had made it a priority to create and compile personal notes or online documents for the purpose of future-reference and documentation – for potential revision, self-reflection, self-correction, or discovery, as this is crucial for knowledge retrieval, knowledge retention, as well as knowledge synthesis and creating/generating new knowledge. Note: information becomes knowledge when you regard the information as valuable and when you make the conscious decision to keep it as part of your notes with the expectation/option of using it in the future; knowledge is information in action, so actually using the information, instead of dismissing it as irrelevant.
Response from another individual/writer:
  • I don't mean that all information has to be kept as notes, nor that other strategies/tactics of finding/retrieving information aren't valuable. I don't even mean that it's impossible for someone to exist/operate without ever taking any notes. Most saliently, I'm more saying that to categorically omit note-taking from one's information management capabilities/strategy is to invite unnecessary trouble, likely to the point of dysfunction, unless one happens to never be doing anything that involves any significantly elusive information to begin with.
  • My bias toward this assessment is reinforced by 25+ years of highly-technical work that has resulted in literally thousands (or tens-of-thousands) of pieces of information, extremely valuable to me, that can't be readily found anywhere but in my notes.
  • Some of it is information specifically originating with myself – there's no one or nowhere else from which it can be gotten. Some of it is information that took me immense amounts of time, thought, and effort to find/acquire, and I would never want to have to try to find it again. Most of these things are in my notes because they have either already disappeared, or are likely to disappear, off of the internet, or don't lend themselves well to simple bookmark-able reference.
  • Another way of saying this is that personally-kept notes are a reflection of the time/effort/insight one has had to put into acquiring the information, combined with the value of retrieval efficiency (organized for one's own retrieval needs). To subject yourself to relying on reproduction of that time/effort and self-organization is to either admit that the time/effort isn't significant (i.e. the information is rather trivial or ubiquitous in nature), or that your own time/effort spent isn't worth much (if you're willing to repeat it).
  • Also, if one assumes that the information is always going to be right where you can easily find it, or even right where you found it before, that's actually just naive.
  • While its true you still need to expend time/effort into locating the info, it has been organized specifically how YOU determine it should be, and thus truncates any actual "overhead" involved in the typical "location" process, not to mention the guarantee that it's actually there to find. Note: overhead expense refers to an ongoing expense of operating a business; it is also known as an "operating expense".
  • As a simple/clear example: if you've never spent hours sifting through the deluge from the Google sewer pipe flooding into your browser, just to find anything remotely relevant to the fairly elusive technical scenario you're trying to resolve, then you're probably not acquainted with really anything I'm talking about, and your dismissal would then represent simply being unaware.
2) The individual is ASSERTIVE and NOT PASSIVE towards the subject they are studying. They are WILLING to articulate and share important ideas and concepts from the subject they are studying. The individual is not seen as someone who is under the spell/act (i.e. false and disingenuous impression of superior intelligence) of mindless regurgitation but rather, the individual is able to offer their OWN UNIQUE interpretation on the subject they are studying, while also citing important concepts or ideas where citation is necessary. In other words, the individual demonstrates "individual competency" THROUGH the subject they are studying and are ultimately/inherently passionate about. The individual's competency (i.e. his/her opinion or interpretation of what is relevant or accurate information) is demonstrated through the individual's pattern of logical and coherent thinking, as well as through the individual's writing style (which displays "CONFIDENCE" in what the individual is presenting as relevant or accurate information).
~~~~~~~~~~~~~~~~~~~~
Relevant response from another individual:
Decide where you fall on the self-directed spectrum.
Highly self-directed: technical books and MOOCs (Massive Open Online Courses)
Average: an online community + curriculum like Free Code Camp or theodinproject.com
Not very self-directed: An in-person coding boot camp like Hack Reactor or App Academy; similar to “subpamediocre” college/university “classroom” learning.
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There are only so many ways of acquiring wealth (with only some methods actually leading to long-term/sustainable financial independence/prosperity):
1) Real Estate
2) Owning a business; being an entrepreneur
3) Career Job requiring higher education (i.e. college or university) or professional education (i.e. apprenticeship or trades)
4) Minimum Wage Jobs
5) Trading the financial markets; making financial “investments” (stocks, forex, futures, options, equities, commodities, etc.)
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Pseudo-Intellectual versus Intellectual (the following is a response from another individual/writer):
An intellectual follows the values and attitudes of Critical Thinking, and exercises good thinking habits. Their interest lies in discovery and self-correction.
The traits of a true intellectual are as follows:
  • intellectual humility – recognizing the limits and sensitivities of one's experience.
  • intellectual courage – ability to examine things and/or state results or potentialities, even if it may be costly/risky to your personal beliefs, or social acceptance, established norms or theories. The ability to put things at risk. Even if they are your own cherished ideas or beliefs that you are putting at risk.
  • intellectual empathy – knowing that you have to imaginatively put yourself in the place of others in order to understand them.
  • intellectual autonomy – being able to think independently, to carry through without constant guidance from others, and sometimes even to come to different conclusions.
  • intellectual integrity – holding yourself to the same standards you hold others, and holding all beliefs to the same standards.
  • intellectual honesty – being willing to admit discrepancies and avoid overlooking exceptions, even to oneself.
  • intellectual perseverance – having the patience to struggle through difficult or complex problems.
  • confidence in reason – willingness to follow the logic where-ever it leads.
  • fair-mindedness – avoiding making unjustified special exceptions or privileges. Holding all viewpoints to the same standards. This does not mean that all views are equal; it means they all are held to the same universal standards. They might end up meeting those standards very unequally. For instance: the theory of evolution vs the fable of creation, or climate change vs science denialism.
A pseudo-intellectual does not do these things. Their interest lies not in discovery and self-correction, but in confirmation of what is already believed. Confirmation Bias. Their "thinking" style is characterized by cognitive biases, a lack of self-reflection/self-correction, a lack of rigor and completeness, and applying woefully different standards to beliefs/ideas that they cherish, and any information that calls them into question.
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EA Testing and Optimisation - YouTube

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