Trading Charts: Live Forex Charts

Forex Trading Lessons: A Must For Forex Beginners

Forex Trading Lessons: A Must For Forex Beginners
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Algorithmic Trading

A place for redditors to discuss quantitative trading, statistical methods, econometrics, programming, implementation, automated strategies, and bounce ideas off each other for constructive criticism. Feel free to submit papers/links of things you find interesting.
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ETH discussion board with a focus on ETH and ETH tokens. Alt-talk only if it is highly relevant for the current price. No FUD, No Hype, No Spamming. Thank you!
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What S.M.A periods is mostly used on a 240 min and 60 min chart in forex?

submitted by JoJoPack0314 to Forex [link] [comments]

FOREX COMPLICATIONS

I've been trading since march of this year. I am still searching for consistent profitability, but that all comes down to my mentality. Nothing to do with my skill.
Anyways, after finding myself here, 7 months since i started. I notice how many beginners over complicate forex. Writing down tons of notes , looking for the small and precise information and mostly overthinking. I fell victim to this too. But I've come to learn that a lot of that is irrelevant.
Honestly, what people don't talk about is chart hours and focusing on 1 pair. Wicksdontlie has a livestream I recommend everyone watch, I was in a separate discord group and learned all the basics, but from just watching his streams and watching the charts constantly (whilst making food , playing playstation etc) I got a proper understanding for what forex is and what I have to do to make it.
But the fact people don't talk enough about focusing on 1 pair makes me wonder? If you sit in front of your laptop for hours watching 1 pair move you will get an unbelievable understanding for how the market moves and how YOUR pair moves. You notice the same things over and over again.
I never studied imbalances, waiting for price to develop on higher time frames, lower lows and higher highs, patience, discipline, the different trading sessions (NY,LDN etc). All of that came to me naturally, from hours and hours on the charts, from backtesting and listening to Raja Banks and Uncle Ted's stream.
Don't fall out of love with forex because of confusion etc. It's all due to your mind overcomplicating things. Think of hours on the charts like hours playing football. You get up and kick the ball from a young age, not thinking of the complications on how to hit an outside the boot pass or knuckle ball etc. The more hours you spend doing it the better you will become and the better of an understanding you'll form. Not only on the charts, but an understanding for YOU. What YOU need to do mentally to achieve success. 10% skill and 90% psychology is most certainly true.
Enjoy your journey and prepare for a long ride full of losses and mental battles. That's what your signing up for.
GL.
submitted by Summervbz to Forex [link] [comments]

Charts confusing? Here's how I trade without ever looking at a chart.

Charts confusing? Here's how I trade without ever looking at a chart.
Been getting PM's about how I trade without looking at charts. So here it is guys.
Say EUUSD is down -0.20% and -20 pips on D1 and -0.15% and -15 pips on H8. I now have a trade opportunity because I know two things. The price is low and the price is starting to go back up. I can buy.
TP/SL is simple. I'm aiming for zero and I take a long position. 15 pips for TP & SL and size my lot according to my risk management tolerance. Since Forex ranges more than it trends I know odds are I made the right trade. I don't touch the trade and it'll close with a profit or loss. When that happens I repeat the process having never looked at a chart.
To demonstrate here are a few charts as I get most are thinking I'm crazy. But this is what you're doing when you follow the trend. Hoping for uncharted territory to make a profit.

https://preview.redd.it/8ryw5lvqkjy51.jpg?width=2337&format=pjpg&auto=webp&s=456efdeeb838fe0f5c5aa8aac405f7c776f08e62
Here's what you're doing when you aim for zero. Buying low, selling high & selling high, buying low. Price almost always will go back to the middle which takes all the guess work out of trading.

https://preview.redd.it/z79symlskjy51.jpg?width=2209&format=pjpg&auto=webp&s=fb945390f2f3c031ae81680689eb7c30730ad9a7
If your profits depend on prices flying off into the vast unknown you're not going to make money because that's not going to happen often enough. If your profits depend on prices that happened just hours ago there's a much better chance people will want to make a deal at that price again.
Try it out. Trading really is as simple as buy low sell high. But you're not buying low and selling high when you follow a trend. Then you're buying high and hoping it goes into uncharted territory.
submitted by EvidenceRemote to Forex [link] [comments]

New to Trading? Here's some tips

So there seems to be a lot of new people on this sub. And makes sense if you have questions a lot of time you'll turn to reddit for the answers (I know I do). Well here are some tips that I think would benefit new traders.
  1. Don't trade ANY Euro pairs. Look I know it's the most traded pair it goes up and down really fast and there's so much potential for you to make money. Turns out there's even more for you to lose money. It's way too volatile specially if you don't know what you're doing. EUUSD is the worst offender.
  2. Trade the Daily. Might think you're cool looking at charts every x amount of times during the day. You get to tell your friends and family that you trade all day and they might be impressed at what you're doing but unless you have some years under you stick to the daily. There's less noise. You can see clearer trends and when you don't stare at the screen all day you're less emotional therefore a more effective trader. I only look at the chart 15 minutes a day to either enter close or manage my trades. Whatever happens when I'm gone is what happens.
  3. There is no holy grail indicator Look for it all you want. It doesn't exist. There are good indicators. There are bad indicators. There are some indicators that are so broken if you do the opposite of what they're intended for you'll actually make a profit. But the fact remains that there's no perfect one. Stop looking. What you should be looking for is an indicator that fits with your strategy.
  4. What currencies to pick. I actually never see this brought up. The notion in forex is that all pairs can be traded equally. To a certain extent that's not false. But until you get the hang of it stick to a strict trading diet. Look for pairs that trend a lot. Duh look for the trend I can hear you say. When I say trend I don't mean a couple of days or weeks. I mean a couple of months. Half a year. Pairs that do that have a higher tendency to stick with one direction for a while. That's where you make your money. An easy way to identify those pairs as well is putting together a volatile currency (USD) with a less volatile one(JPY).
  5. USE YOUR SL Trust me even if not putting a SL has netted you all kinds of gains eventually the market will turn around and bite you. With no safety net you'll lose most if not all your profit. The best offense is a good defense.
  6. How to pick your TP and SL level. Most new traders care so much about that. I put it near the bottom because in my opinion you should know everything listed first. This is my opinion and I use it for my strategy I use the ATR(average true range) indicator. It's a really helpful tool that helps you identify the range at which the candles will either rise or fall. Obviously you want to set your TP inside of that range and your SL slightly outside of it.
  7. Lot sizes. Everyone has a different story about how they pick their lot size. The general consensus is don't risk over 2% of your account. But I'm a simple man and I can't be bothered to figure out what my risk is every single time. So what I do is I put $0.10 for every $100 I have on the account. I then assign $300(minimum) to each pair. That's $0.30 per pair. It's easy to remember. 10 cent for every $100. If you're able to blow $100 with $0.10 then you probably shouldn't trade.
  8. How to avoid reversals. Tbh you can't. There's no way to predict the future so eventually you'll get hit by one. What you can do however is minimize the blow. How I do it is for every pair I take two trades. If you remember in the previous tip is said I do about$0.30 per pair well I divide it 2:1. I take one trade with a TP(2) and one without (1). If my TP is hit I pocket that amount and if the trend keeps going in my direction I make even more. If the trend decides to end or reverses my losses are minimal because at least I kept half.
  9. There is NO right way to trade. Stop listening to people telling the best way to trade is fundamentals or naked charts of to use some specific indicator. There are no right way to do this. It's as flexible and unlimited as your imagination. I personally use indicators but if that's not your thing do YOU! Just remember to manage your trades properly and be level headed when trading. Hell if your trading strategy is flipping a coin with proper trade management you'd probably make some money (don't quote me on that).
  10. Trade money you're willing to lose Don't trade your rent money.
That's all I have for now. If anyone sees this and wants to add more feel free. Hope this helps someone.
submitted by MannyTrade to Forex [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]

Forex trader switching to futures - please help me wrap my head around pricing/fees

I'm a somewhat experienced forex trader but I feel like the advantages of a more tangible/centralized market and volume information are too significant to pass up, so I'm trying to make the switch to trading futures. I have experience charting with Tradingview, so I'm particularly interested in opening an account with AMP and trading through TV, but there seem to be a lot of different fees in futures to consider versus forex, so I'm having a hard time figuring out exactly what it would cost me to trade that way.
It's my understanding that if I want to just stick to E-minis, I'd be looking at the $10+1 per month fee for the CME data feed and the commission (plus CQG route fee and exchange fees) per contract per side. Are there any other fees or considerations I'm missing? Is this an adequate setup for trading ES?
submitted by Sirspen to FuturesTrading [link] [comments]

Am I doing something wrong?

I was practicing trading forex on a demo account, testing out this MA crossover strategy. I used a 10 SMA and 20 SMA on a 15 minute chart.
The rule of thumb is if the 10 SMA crosses above the 20 SMA, buy. If the 10 SMA crosses below the 20 SMA, sell.
At first, it worked for a buy trade. The 10 SMA crossed above the 20 SMA.
But then it began to reverse, the 10 SMA crossed below the 20 SMA. I sold my previous order and opened a new sell order.
Suddenly, instead of going down, the price starts going up and up with long green candles. Yet, the 10 SMA is STILL falling below the 20 SMA while the 20 SMA is going up.
What does it mean when this happens? Am I overlooking something? Should I just give it more time to play out?
submitted by SpecialistBlend85 to Daytrading [link] [comments]

Some has to lose for someone else to win?

I heard someone say before that in forex you don't want to follow the "mainstream" aka most popular trend predictions, because someone has to lose for another to win. Everyone can't be winners. And fact is that most traders are losers.
Is that really right though? Can someone explain more? I mean the popular predictions are popular for a good reason, and that is because all the indicators show that it's far more likely for the trend to go in a specific direction than the other way.
Also, if it that was true, then it wouldn't be in the expert's interest to make posts and videos to show their trend predictions and charts, unless they are deceiving us by showing us the opposite of what they think will happen? But in that case they wouldn't have many followers for long.
But if it is true that you want as many people to make the same trade as you, then why are people saying that it's against the interest of the real pros who have actually winning strategies and winning expert AI to publicly release their strategies?
submitted by justkilledsomeone to Forex [link] [comments]

Wall Street Week Ahead for the trading week beginning September 14th, 2020

Good Saturday morning to all of you here on wallstreetbets. I hope everyone on this sub made out pretty nicely in the market this past week, and is ready for the new trading week ahead.
Here is everything you need to know to get you ready for the trading week beginning September 14th, 2020.

Investors will look to the Fed to soothe the market next week, but that may be a tall order - (Source)

Markets are looking to the Federal Reserve to be a soothing force when it meets in the week ahead, but stocks could remain choppy if the central bank disappoints and as investors focus on the election and the economic recovery.
The Fed’s two-day meeting is expected to end Wednesday with minor tweaks to its statement and some clarity on how it plans to use forward guidance. The Fed also updates its economic and interest rate outlook, including forecasts for 2023 for the first time.
But Quincy Krosby, chief investment strategist at Prudential Financial, said the stock market could easily be disappointed because the Fed is unlikely to offer more clarity on monetary policy, such as plans for bond buying.
“The market is concerned the Fed is not going to give us explicit readings on their plans for monetary policy,″ she said. The Fed’s extraordinary policies have been an important factor behind the stock market’s 50% surge from the March 23 low, and it’s also seen as a major factor limiting the depth of the market’s sell-off.
Peter Boockvar, chief investment officer at Bleakley Advisory Group, said the Fed is not likely to tweak much and it continues to buy $80 billion a month in Treasurys. “I don’t think they’ll do anything to the markets either way,” he said.
Stocks were volatile in the past week, falling hard, rallying, falling and rallying again. That left the S&P 500 with a weekly decline of about 2.5%, its worst week since June. The harder hit Nasdaq was down about 4.1% for the week, its worst weekly decline since March. The quadruple expiration of options and futures at the end of the coming week could add to the volatility.
Bank of America strategists said the bond market is watching the Fed for any balance sheet adjustments and the changes to its forward guidance, which includes the Fed’s recent tweak in its inflation policy. The Fed changed its policy of focusing on a target inflation rate to an average rate, meaning it may not tighten policy if inflation overshoots its 2% target.
“We see risk the rates market is underwhelmed by the guidance provided by the Fed, which would support higher back-end rates and a steeper curve,” the Bank of America strategists noted. The benchmark 10-year Treasury yield slid in the past week, touching 0.67% Friday, and it could move higher, meaning bonds may sell-off, if the Fed does not clarify policy around its bond buying program.
Krosby said the stock market is hoping for a dovish Fed. “The market needs that now because fiscal policy is going nowhere,” she said.
BTIG strategist Julian Emanuel said the market could focus on the fact that Congress failed to make headway on fiscal stimulus, if the economic data begins to disappoint.
Retail sales for August are expected Wednesday morning, as the Fed meets. They are expected to rise by 1%, and that should be an important look at whether the lack of enhanced unemployment benefits, which expired July 31, impacted consumer spending. Among other things, Republicans and Democrats could not agree how to replace the $600 weekly payment to the unemployed.
“Depending on the polls and the economic data, the probability of stimulus rises and falls,” said Emanuel, head of equity and derivatives strategy.
“Our view is that next week is just going to be lots of back and forth with the potential for a further extension of the range for the downside, if the political narrative gets more inflamed,” said Emanuel. Emanuel expects the market to remain choppy and fall further into the month of October, as investors worry about the uncertainty around the presidential election.
The Fed’s meeting this week is its last before the election, and analysts expect Fed Chairman Jerome Powell to sound reassuring that the Fed will do whatever it takes to support the economy. Powell holds a briefing after the meeting Wednesday, and he is expected to also be asked about the potential for higher inflation. The Fed has said it is more concerned about disinflation, but recent inflation data has been hotter than expected, though still well below 2%.
“There is a tug of war between those who say buy chips now because inflation is moving higher, versus those why are saying deflationary forces are still weaving their way into the economy,” said Krosby.
Marc Chandler, chief market strategist at Bannockburn Global Forex, said he expects the Fed to sound reassuring but it’s not likely to discuss a target for bond purchases or the yield curve controls some investors were hoping for. Yield curve control would mean the Fed would try to manage interest rates by targeting its purchases of specific Treasurys. For instance, it may focus on trying to keep longer duration yields lower, and buy the 10-year.
Chandler also noted the Fed’s $7 trillion balance sheet has recently declined by about $100 billion from its peak, and its bond purchases are falling behind the European Central Bank.
“My sense is the Fed is going to keep saying it’s not worried about inflation. Its bigger worry is downside risks. They’ll repeat their call for fiscal stimulus which after this week seems less likely,” he said.
Chandler said the stock market could remain choppy in the coming week, but he does not expect a sharp selloff. The dollar could decline, if the Fed sounds dovish, and that is a positive for stocks.
“I don’t think a 10% pullback [in Nasdaq] has caused enough pain to have people capitulate. This is just an ordinary correction, and we’re going to make new highs,” he said.

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!)

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 THE CHART LINK #1!)
(CLICK HERE FOR THE CHART LINK #2!)
(CLICK HERE FOR THE CHART LINK #3!)

Election Charts You Need To See: Part 1

First off, our thoughts go out to everyone who was impacted by the tragic events of September 11, 2001—19 years ago today. It is a day to reflect and remember those who were lost.
One of the top requests we’ve had here at LPL Research is for more charts on the election. Over the next week, we will share some of our favorite charts on this very important subject.
Here’s how the S&P 500 Index performs under various presidents and congressional makeups. The best scenario has historically been a Democratic president and Republican Congress, while a Republican president and Democratic Congress has been the weakest.
(CLICK HERE FOR THE CHART!)
Building on this, a split Congress historically has been one of the best scenarios for investors.
(CLICK HERE FOR THE CHART!)
The best scenario under a Republican president is a split Congress, a potential positive for 2020 that has played out after the massive reversal in the stock market since March.
(CLICK HERE FOR THE CHART!)
Looking at the four-year presidential cycle shows that stocks haven’t been down during a year the president was up for a re-election since FDR in the 1940s, another bullish tailwind for 2020.
(CLICK HERE FOR THE CHART!)
Here’s another look at this, as stocks historically have done much better when there isn’t a lame duck president.
(CLICK HERE FOR THE CHART!)

Active Managers Do an About Face

The National Association of Active Investment Managers (NAAIM) has an index which tracks the exposure of its members to US equity markets. Each week, members are asked to provide a number that represents their exposure to markets. A reading of -200 means they are leveraged short, -100 indicates fully short, 0 is neutral, 100% is fully invested, and 200% indicates leveraged long. Two weeks ago, in our Bespoke Report, we highlighted the fact that the exposure index had moved to one of the highest levels in its 15-year history. Now, just two weeks later, these same active managers have reigned in their exposure considerably as this week's reading dropped from just under 100 to 53.1.
This week's drop was the second-largest one week decline in the index's history and just the 10th time that the index lost more than a third (33 points) in a single week. The most recent occurrence was back in early March in the middle of the Covid crash, and every other prior period where the index saw a similar drop, the S&P 500 was also down every time by an average of 2.3%. Therefore, it's not much of a surprise to see the big drop this week given the big declines in the market. But what about going forward? Do big drops in the NAAIM Index mean a bounce back for markets or further declines?
(CLICK HERE FOR THE CHART!)

The Most and Least Heavily Shorted Stocks in the Russell 1,000

Below is an updated look at the most heavily shorted stocks in the Russell 1,000. Each of these 30 stocks has at least 15% of its equity float sold short.
At the top of the list is Nordstrom (JWN) with 38.66% of its float sold short. With a YTD decline of 61.86%, the shorts have crushed it with JWN this year.
With its huge portfolio of office and retail real estate, Brookfield Property REIT(BPYU) has the second highest short interest in the Russell 1,000 at 33.7%. BPYU is down 35.7% YTD.
There are plenty of other well-known companies on the list of the most heavily shorted stocks. Examples include American Airlines (AAL), Virgin Galactic (SPCE), LendingTree (TREE), Wayfair (W), Dick's Sporting Goods (DKS), ADT, TripAdvisor (TRIP), Beyond Meat (BYND), and Kohl's (KSS).
One name that is no longer on the list of most shorted stocks is Tesla (TSLA). When we provided an update on short interest back in February (a pre-COVID world), Tesla (TSLA) had more than 17% of its float sold short, but that number is all the way down to 8.3% as of the most recent filing.
These 30 stocks with the highest short interest are down an average of 3.01% since last Wednesday (9/2) when the S&P 500 made its last closing high. That's actually a little bit better than the 3.55% average decline for the rest of the stocks in the Russell 1,000. And year-to-date, these 30 stocks are up an average of 0.60% versus an average gain of 0.81% for the rest of the index. That's not much of a difference!
(CLICK HERE FOR THE CHART!)
Below is a list of the 30 least shorted stocks in the Russell 1,000 as a percentage of equity float. None of these stocks have more than 0.71% of their float sold short, and they're mostly made up of more conservative names in the Health Care and Consumer Staples sectors.
Johnson & Johnson (JNJ) has the lowest short interest as a percentage of float in the Russell 1,000 at just 0.36%. Microsoft (MSFT) -- one of the key mega-cap Tech names -- has the second lowest short interest, followed by Merck (MRK), Eli Lilly (LLY), and Medtronic (MDT).
Somewhat surprisingly, Amazon (AMZN) is the sixth least shorted stock in the entire Russell 1,000. While AMZN is still thought of as a high-flying momentum name by many investors, its short interest levels tell a much different story, painting it as more of a non-cyclical stock like Pepsi (PEP), Procter & Gamble (PG), or Coca- Cola (KO).
While the 30 most heavily shorted stocks in the Russell 1,000 are up 0.60% YTD, the 30 least shorted stocks in the index are up much more at +8%. This group has MSFT, AMZN, HD, and AAPL to thank for that strong performance!
(CLICK HERE FOR THE CHART!)

5 Lessons Learned About Rising Rates

While the direction of the 10-year Treasury yield over the last cycle was decidedly lower, as shown in LPL’s Chart of the Day, there were still six extended periods where it rose at least 0.75%, and in two of those it rose almost 2%. Looking ahead, economic growth below potential, slack in the labor market, and an extremely supportive Federal Reserve (Fed) may limit rate pressure in the near term, but with interest rates already low and massive stimulus in place, we believe the overall direction is likely to be higher.
“Even in a falling rate period there are lessons from the last cycle about rising rates,” said LPL Financial Chief Investment Officer Burt White. “Among them: Careful when the Fed stops buying and sometimes the best defense is a good offense.”
(CLICK HERE FOR THE CHART!)
While every economic cycle is unique, the last cycle highlighted these key takeaways about periods of rising rates:
  • Careful when the Fed stops buying. The two drivers of rising rates last cycle were economic growth and Fed bond purchases, also known as quantitative easing (QE). The Fed buys bonds to keep rates down, but the start of Fed buying has actually been the time when rates rise—likely on expectations that the purchases would help strengthen the economy. These periods also often followed large rate declines either because markets anticipated the start of Fed buying or the economy was faltering. The takeaway: unless the economy is really taking off, any rising-rate period may pause for an extended period, or even reverse, when the Fed backs off bond purchases.
  • Sometime the best defense is a good offense. Lower-quality, more economically sensitive bond sectors actually performed well during periods of rising rates during the last cycle. Rate gains were largely driven by economic improvement rather than a large pick-up in inflation, and that’s typically a good environment for sectors like high-yield bonds and bank loans. The downside is that these are much riskier bond sectors and don’t provide the potential diversification benefits of higher-quality bonds during periods of stock declines.
  • Don’t expect TIPS to provide much resilience because of their inflation adjustment. Treasury Inflation-Protected Securities (TIPS) are high-quality bonds that have provided a little extra insulation against rising rates compared to similarly dated Treasuries when inflation expectations increased. TIPS prices are adjusted for inflation, but even with the adjustment, they are still very sensitive to rates.
  • Investment-grade corporates can both hurt and help. If credit spreads narrow when rates are rising, investment-grade corporates can post some solid gains in a rising-rate environment, but if spreads are holding steady or even widening, they can be very sensitive to changes in Treasury yields, potentially (although not often) even more sensitive than Treasuries.
  • Mortgage-backed securities (MBS) have not provided as much insulation as corporates, but they also have had less downside. While MBS have certainly outperformed Treasuries during periods of rising rates, they have not performed as well as investment-grade corporates. But they also have come with less downside, losing only 1.4% in their worst performing period compared to a 4% loss during the worst period for corporates. With the Fed still providing strong stimulus and economic growth potentially poised to accelerate, we currently see an increased risk of rates moving higher. We are playing some offense with our equity exposure, which allows us to emphasize a focus on higher-quality bonds. Among bond sectors, we are emphasizing MBS and still prefer investment-grade corporates over Treasuries. History may not repeat, but if it rhymes, this positioning may help add resilience to a fixed income portfolio if rates extend their move off recent lows.
With the Fed still providing strong stimulus and economic growth potentially poised to accelerate, we currently see an increased risk of rates moving higher. We are playing some offense with our equity exposure, which allows us to emphasize a focus on higher-quality bonds. Among bond sectors, we are emphasizing MBS and still prefer investment-grade corporates over Treasuries. History may not repeat, but if it rhymes, this positioning may help add resilience to a fixed income portfolio if rates extend their move off recent lows.

Best and Worst Performing Stocks Since the 9/2 High

Since the S&P 500 and Nasdaq peaked on September 2nd, we've seen rotation out of the post-COVID winners and rotation into laggards in the value space. Below we take a look at the best and worst performing stocks in the Russell 1,000 since the 9/2 high for the S&P. For each stock, we also include its YTD total return and its percentage change from the 3/23 COVID Crash low through 9/2.
Capri Holdings (CPRI) is up more than any other stock in the Russell 1,000 since 9/2 with a gain of 17.43%. Even after the recent gains, however, Capri -- the holding company for brands like Michael Kors, Jimmy Choo, and Versace -- is still down 52.9% year-to-date.
Only four other stocks are up more than 10% since 9/2 -- Beyond Meat (BYND), PVH, Virtu Financial (VIRT), and Reinsurance Group (RGA). Interestingly, BYND and VIRT are also up big (~80%) year-to-date, while PVH and RGA are both down more than 35% year-to-date.
What stands out the most about the list of winners is that only one Technology stock made the cut -- Sabre (SABR). Most names come from the two consumer sectors including cruise-liners like Carnival (CCL), Royal Caribbean (RCL) and Norwegian Cruise (NCLH), Kohl's (KSS), Williams-Sonoma (WSM), Six Flags (SIX), Foot Locker (FL), and Ralph Lauren (RL). Both UBER and LYFT also made the cut with gains of 6% since 9/2. The 30 biggest winners since 9/2 are still down an average of 20% year-to-date, while the rest of the stocks in the Russell 1,000 are up an average of 1.46% YTD.
(CLICK HERE FOR THE CHART!)
While only one Technology stock made the list of biggest winners since 9/2, the sector accounts for two-thirds of the 30 biggest losers over the same time frame. As shown below, since 9/2, the six worst performing stocks in the Russell 1,000 and ten of the worst twelve all come from Tech. Notably, though, these 30 stocks that have all fallen more than 12% since 9/2 are still up an average of 5.6% YTD. Were it not for the horrid YTD performance of the Energy stocks that made the list, the average YTD gain would be even higher.
(CLICK HERE FOR THE CHART!)

Typical Early September Weakness Recovers Mid-Month Sells Off Month-End

As of yesterday’s close the market was down more than the historical average performance in September. DJIA was down nearly -3.3%, S&P 500 was down -4.8%, NASDAQ was off 7.9%, Russell 1000 was down -5.2% and Russell 2000 lost 3.7%. Today’s rally looks like the beginning of a textbook mid-month recovery rally However, the second half of September has historically been weaker than the first half. The week after options expiration week can be treacherous with S&P 500 logging 23 weekly losses in 30 years since 1990. End-of-quarter portfolio restructuring, and window dressing can amplify the impacts of any negative headlines.
(CLICK HERE FOR THE CHART!)
(CLICK HERE FOR NEXT WEEK'S MOST NOTABLE EARNINGS RELEASES!)
(CLICK HERE FOR NEXT WEEK'S HIGHEST VOLATILITY EARNINGS RELEASES!)
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 9.14.20 Before Market Open:

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

Monday 9.14.20 After Market Close:

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

Tuesday 9.15.20 Before Market Open:

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

Tuesday 9.15.20 After Market Close:

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

Wednesday 9.16.20 Before Market Open:

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

Wednesday 9.16.20 After Market Close:

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

Thursday 9.17.20 Before Market Open:

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

Thursday 9.17.20 After Market Close:

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

Friday 9.18.20 Before Market Open:

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

Friday 9.18.20 After Market Close:

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

FedEx Corp. $232.79

FedEx Corp. (FDX) is confirmed to report earnings at approximately 4:00 PM ET on Tuesday, September 15, 2020. The consensus earnings estimate is $2.54 per share on revenue of $17.46 billion and the Earnings Whisper ® number is $2.78 per share. Investor sentiment going into the company's earnings release has 78% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 16.72% with revenue increasing by 2.42%. Short interest has decreased by 15.4% since the company's last earnings release while the stock has drifted higher by 46.5% from its open following the earnings release to be 54.3% above its 200 day moving average of $150.90. Overall earnings estimates have been revised higher since the company's last earnings release. On Friday, August 28, 2020 there was some notable buying of 3,504 contracts of the $250.00 call expiring on Friday, September 18, 2020. Option traders are pricing in a 10.7% move on earnings and the stock has averaged a 7.6% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Adobe Inc. $471.35

Adobe Inc. (ADBE) is confirmed to report earnings at approximately 4:05 PM ET on Tuesday, September 15, 2020. The consensus earnings estimate is $2.41 per share on revenue of $3.15 billion and the Earnings Whisper ® number is $2.47 per share. Investor sentiment going into the company's earnings release has 76% expecting an earnings beat The company's guidance was for earnings of approximately $2.40 per share. Consensus estimates are for year-over-year earnings growth of 12.62% with revenue increasing by 11.15%. Short interest has decreased by 14.1% since the company's last earnings release while the stock has drifted higher by 15.2% from its open following the earnings release to be 25.2% above its 200 day moving average of $376.45. Overall earnings estimates have been revised higher since the company's last earnings release. On Thursday, August 27, 2020 there was some notable buying of 18,006 contracts of the $455.00 put expiring on Friday, September 25, 2020. Option traders are pricing in a 12.5% move on earnings and the stock has averaged a 6.2% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Cracker Barrel Old Country Store, Inc. $136.79

Cracker Barrel Old Country Store, Inc. (CBRL) is confirmed to report earnings at approximately 8:00 AM ET on Tuesday, September 15, 2020. The consensus estimate is for a loss of $0.55 per share on revenue of $483.68 million and the Earnings Whisper ® number is ($0.49) per share. Investor sentiment going into the company's earnings release has 28% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 120.37% with revenue decreasing by 38.55%. Short interest has decreased by 2.1% since the company's last earnings release while the stock has drifted higher by 30.0% from its open following the earnings release to be 12.5% above its 200 day moving average of $121.64. Overall earnings estimates have been revised higher since the company's last earnings release. On Thursday, August 27, 2020 there was some notable buying of 1,012 contracts of the $190.00 call expiring on Friday, January 15, 2021. Option traders are pricing in a 10.6% move on earnings and the stock has averaged a 2.9% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Aspen Group, Inc. $11.54

Aspen Group, Inc. (ASPU) is confirmed to report earnings at approximately 4:00 PM ET on Monday, September 14, 2020. The consensus estimate is for a loss of $0.04 per share on revenue of $14.26 million and the Earnings Whisper ® number is ($0.03) per share. Investor sentiment going into the company's earnings release has 49% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 63.64% with revenue increasing by 37.67%. Short interest has increased by 56.8% since the company's last earnings release while the stock has drifted higher by 16.0% from its open following the earnings release to be 32.3% above its 200 day moving average of $8.72. The stock has averaged a 11.1% move on earnings in recent quarters.

(CLICK HERE FOR THE CHART!)

Lennar Corp. $77.48

Lennar Corp. (LEN) is confirmed to report earnings at approximately 4:35 PM ET on Monday, September 14, 2020. The consensus earnings estimate is $1.51 per share on revenue of $5.33 billion and the Earnings Whisper ® number is $1.67 per share. Investor sentiment going into the company's earnings release has 65% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 5.03% with revenue decreasing by 9.00%. Short interest has decreased by 16.5% since the company's last earnings release while the stock has drifted higher by 20.2% from its open following the earnings release to be 29.6% above its 200 day moving average of $59.78. Overall earnings estimates have been revised higher since the company's last earnings release. Option traders are pricing in a 8.4% move on earnings and the stock has averaged a 2.9% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Endava $53.03

Endava (DAVA) is confirmed to report earnings at approximately 7:20 AM ET on Tuesday, September 15, 2020. The consensus earnings estimate is $0.19 per share on revenue of $107.96 million and the Earnings Whisper ® number is $0.22 per share. Investor sentiment going into the company's earnings release has 33% expecting an earnings beat The company's guidance was for earnings of $0.18 to $0.20 per share on revenue of $105.00 million to $106.00 million. Consensus estimates are for earnings to decline year-over-year by 26.92% with revenue increasing by 9.61%. Short interest has increased by 56.2% since the company's last earnings release while the stock has drifted higher by 11.1% from its open following the earnings release to be 12.7% above its 200 day moving average of $47.06. Overall earnings estimates have been revised lower since the company's last earnings release. The stock has averaged a 6.7% move on earnings in recent quarters.

(CLICK HERE FOR THE CHART!)

Brady Corp. $45.34

Brady Corp. (BRC) is confirmed to report earnings at approximately 7:00 AM ET on Wednesday, September 16, 2020. The consensus earnings estimate is $0.55 per share on revenue of $260.00 million and the Earnings Whisper ® number is $0.56 per share. Investor sentiment going into the company's earnings release has 31% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 19.12% with revenue decreasing by 11.95%. Short interest has decreased by 37.3% since the company's last earnings release while the stock has drifted higher by 0.6% from its open following the earnings release to be 7.5% below its 200 day moving average of $49.01. Overall earnings estimates have been revised lower since the company's last earnings release. Option traders are pricing in a 5.3% move on earnings and the stock has averaged a 2.6% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Cantel Medical Corp. $49.12

Cantel Medical Corp. (CMD) is confirmed to report earnings at approximately 7:00 AM ET on Thursday, September 17, 2020. The consensus earnings estimate is $0.08 per share on revenue of $232.80 million and the Earnings Whisper ® number is $0.09 per share. Investor sentiment going into the company's earnings release has 39% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 87.30% with revenue decreasing by 2.79%. Short interest has decreased by 19.9% since the company's last earnings release while the stock has drifted higher by 4.5% from its open following the earnings release to be 3.7% below its 200 day moving average of $51.02. Overall earnings estimates have been revised lower since the company's last earnings release. Option traders are pricing in a 17.8% move on earnings and the stock has averaged a 7.9% move in recent quarters.

(CLICK HERE FOR THE CHART!)

IsoRay Inc $0.63

IsoRay Inc (ISR) is confirmed to report earnings at approximately 4:15 PM ET on Thursday, September 17, 2020. The consensus estimate is for a loss of $0.01 per share on revenue of $2.77 million. Investor sentiment going into the company's earnings release has 25% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 50.00% with revenue increasing by 43.97%. Short interest has decreased by 26.8% since the company's last earnings release while the stock has drifted lower by 33.7% from its open following the earnings release to be 6.7% below its 200 day moving average of $0.68. Overall earnings estimates have been unchanged since the company's last earnings release. The stock has averaged a 8.2% move on earnings in recent quarters.

(CLICK HERE FOR THE CHART!)

Apogee Enterprises, Inc. $19.49

Apogee Enterprises, Inc. (APOG) is confirmed to report earnings at approximately 6:30 AM ET on Thursday, September 17, 2020. The consensus earnings estimate is $0.34 per share. Investor sentiment going into the company's earnings release has 19% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 52.78% with revenue increasing by 179.79%. Short interest has decreased by 4.7% since the company's last earnings release while the stock has drifted lower by 7.2% from its open following the earnings release to be 23.9% below its 200 day moving average of $25.63. Option traders are pricing in a 10.1% move on earnings and the stock has averaged a 10.4% move in recent quarters.

(CLICK HERE FOR THE CHART!)

DISCUSS!

What are you all watching for in this upcoming trading week?
I hope you all have a wonderful weekend and a great trading week ahead wallstreetbets.
submitted by bigbear0083 to wallstreetbets [link] [comments]

Former investment bank FX trader: some thoughts

Former investment bank FX trader: some thoughts
Hi guys,
I have been using reddit for years in my personal life (not trading!) and wanted to give something back in an area where i am an expert.
I worked at an investment bank for seven years and joined them as a graduate FX trader so have lots of professional experience, by which i mean I was trained and paid by a big institution to trade on their behalf. This is very different to being a full-time home trader, although that is not to discredit those guys, who can accumulate a good amount of experience/wisdom through self learning.
When I get time I'm going to write a mid-length posts on each topic for you guys along the lines of how i was trained. I guess there would be 15-20 topics in total so about 50-60 posts. Feel free to comment or ask questions.
The first topic is Risk Management and we'll cover it in three parts
Part I
  • Why it matters
  • Position sizing
  • Kelly
  • Using stops sensibly
  • Picking a clear level

Why it matters

The first rule of making money through trading is to ensure you do not lose money. Look at any serious hedge fund’s website and they’ll talk about their first priority being “preservation of investor capital.”
You have to keep it before you grow it.
Strangely, if you look at retail trading websites, for every one article on risk management there are probably fifty on trade selection. This is completely the wrong way around.
The great news is that this stuff is pretty simple and process-driven. Anyone can learn and follow best practices.
Seriously, avoiding mistakes is one of the most important things: there's not some holy grail system for finding winning trades, rather a routine and fairly boring set of processes that ensure that you are profitable, despite having plenty of losing trades alongside the winners.

Capital and position sizing

The first thing you have to know is how much capital you are working with. Let’s say you have $100,000 deposited. This is your maximum trading capital. Your trading capital is not the leveraged amount. It is the amount of money you have deposited and can withdraw or lose.
Position sizing is what ensures that a losing streak does not take you out of the market.
A rule of thumb is that one should risk no more than 2% of one’s account balance on an individual trade and no more than 8% of one’s account balance on a specific theme. We’ll look at why that’s a rule of thumb later. For now let’s just accept those numbers and look at examples.
So we have $100,000 in our account. And we wish to buy EURUSD. We should therefore not be risking more than 2% which $2,000.
We look at a technical chart and decide to leave a stop below the monthly low, which is 55 pips below market. We’ll come back to this in a bit. So what should our position size be?
We go to the calculator page, select Position Size and enter our details. There are many such calculators online - just google "Pip calculator".

https://preview.redd.it/y38zb666e5h51.jpg?width=1200&format=pjpg&auto=webp&s=26e4fe569dc5c1f43ce4c746230c49b138691d14
So the appropriate size is a buy position of 363,636 EURUSD. If it reaches our stop level we know we’ll lose precisely $2,000 or 2% of our capital.
You should be using this calculator (or something similar) on every single trade so that you know your risk.
Now imagine that we have similar bets on EURJPY and EURGBP, which have also broken above moving averages. Clearly this EUR-momentum is a theme. If it works all three bets are likely to pay off. But if it goes wrong we are likely to lose on all three at once. We are going to look at this concept of correlation in more detail later.
The total amount of risk in our portfolio - if all of the trades on this EUR-momentum theme were to hit their stops - should not exceed $8,000 or 8% of total capital. This allows us to go big on themes we like without going bust when the theme does not work.
As we’ll see later, many traders only win on 40-60% of trades. So you have to accept losing trades will be common and ensure you size trades so they cannot ruin you.
Similarly, like poker players, we should risk more on trades we feel confident about and less on trades that seem less compelling. However, this should always be subject to overall position sizing constraints.
For example before you put on each trade you might rate the strength of your conviction in the trade and allocate a position size accordingly:

https://preview.redd.it/q2ea6rgae5h51.png?width=1200&format=png&auto=webp&s=4332cb8d0bbbc3d8db972c1f28e8189105393e5b
To keep yourself disciplined you should try to ensure that no more than one in twenty trades are graded exceptional and allocated 5% of account balance risk. It really should be a rare moment when all the stars align for you.
Notice that the nice thing about dealing in percentages is that it scales. Say you start out with $100,000 but end the year up 50% at $150,000. Now a 1% bet will risk $1,500 rather than $1,000. That makes sense as your capital has grown.
It is extremely common for retail accounts to blow-up by making only 4-5 losing trades because they are leveraged at 50:1 and have taken on far too large a position, relative to their account balance.
Consider that GBPUSD tends to move 1% each day. If you have an account balance of $10k then it would be crazy to take a position of $500k (50:1 leveraged). A 1% move on $500k is $5k.
Two perfectly regular down days in a row — or a single day’s move of 2% — and you will receive a margin call from the broker, have the account closed out, and have lost all your money.
Do not let this happen to you. Use position sizing discipline to protect yourself.

Kelly Criterion

If you’re wondering - why “about 2%” per trade? - that’s a fair question. Why not 0.5% or 10% or any other number?
The Kelly Criterion is a formula that was adapted for use in casinos. If you know the odds of winning and the expected pay-off, it tells you how much you should bet in each round.
This is harder than it sounds. Let’s say you could bet on a weighted coin flip, where it lands on heads 60% of the time and tails 40% of the time. The payout is $2 per $1 bet.
Well, absolutely you should bet. The odds are in your favour. But if you have, say, $100 it is less obvious how much you should bet to avoid ruin.
Say you bet $50, the odds that it could land on tails twice in a row are 16%. You could easily be out after the first two flips.
Equally, betting $1 is not going to maximise your advantage. The odds are 60/40 in your favour so only betting $1 is likely too conservative. The Kelly Criterion is a formula that produces the long-run optimal bet size, given the odds.
Applying the formula to forex trading looks like this:
Position size % = Winning trade % - ( (1- Winning trade %) / Risk-reward ratio
If you have recorded hundreds of trades in your journal - see next chapter - you can calculate what this outputs for you specifically.
If you don't have hundreds of trades then let’s assume some realistic defaults of Winning trade % being 30% and Risk-reward ratio being 3. The 3 implies your TP is 3x the distance of your stop from entry e.g. 300 pips take profit and 100 pips stop loss.
So that’s 0.3 - (1 - 0.3) / 3 = 6.6%.
Hold on a second. 6.6% of your account probably feels like a LOT to risk per trade.This is the main observation people have on Kelly: whilst it may optimise the long-run results it doesn’t take into account the pain of drawdowns. It is better thought of as the rational maximum limit. You needn’t go right up to the limit!
With a 30% winning trade ratio, the odds of you losing on four trades in a row is nearly one in four. That would result in a drawdown of nearly a quarter of your starting account balance. Could you really stomach that and put on the fifth trade, cool as ice? Most of us could not.
Accordingly people tend to reduce the bet size. For example, let’s say you know you would feel emotionally affected by losing 25% of your account.
Well, the simplest way is to divide the Kelly output by four. You have effectively hidden 75% of your account balance from Kelly and it is now optimised to avoid a total wipeout of just the 25% it can see.
This gives 6.6% / 4 = 1.65%. Of course different trading approaches and different risk appetites will provide different optimal bet sizes but as a rule of thumb something between 1-2% is appropriate for the style and risk appetite of most retail traders.
Incidentally be very wary of systems or traders who claim high winning trade % like 80%. Invariably these don’t pass a basic sense-check:
  • How many live trades have you done? Often they’ll have done only a handful of real trades and the rest are simulated backtests, which are overfitted. The model will soon die.
  • What is your risk-reward ratio on each trade? If you have a take profit $3 away and a stop loss $100 away, of course most trades will be winners. You will not be making money, however! In general most traders should trade smaller position sizes and less frequently than they do. If you are going to bias one way or the other, far better to start off too small.

How to use stop losses sensibly

Stop losses have a bad reputation amongst the retail community but are absolutely essential to risk management. No serious discretionary trader can operate without them.
A stop loss is a resting order, left with the broker, to automatically close your position if it reaches a certain price. For a recap on the various order types visit this chapter.
The valid concern with stop losses is that disreputable brokers look for a concentration of stops and then, when the market is close, whipsaw the price through the stop levels so that the clients ‘stop out’ and sell to the broker at a low rate before the market naturally comes back higher. This is referred to as ‘stop hunting’.
This would be extremely immoral behaviour and the way to guard against it is to use a highly reputable top-tier broker in a well regulated region such as the UK.
Why are stop losses so important? Well, there is no other way to manage risk with certainty.
You should always have a pre-determined stop loss before you put on a trade. Not having one is a recipe for disaster: you will find yourself emotionally attached to the trade as it goes against you and it will be extremely hard to cut the loss. This is a well known behavioural bias that we’ll explore in a later chapter.
Learning to take a loss and move on rationally is a key lesson for new traders.
A common mistake is to think of the market as a personal nemesis. The market, of course, is totally impersonal; it doesn’t care whether you make money or not.
Bruce Kovner, founder of the hedge fund Caxton Associates
There is an old saying amongst bank traders which is “losers average losers”.
It is tempting, having bought EURUSD and seeing it go lower, to buy more. Your average price will improve if you keep buying as it goes lower. If it was cheap before it must be a bargain now, right? Wrong.
Where does that end? Always have a pre-determined cut-off point which limits your risk. A level where you know the reason for the trade was proved ‘wrong’ ... and stick to it strictly. If you trade using discretion, use stops.

Picking a clear level

Where you leave your stop loss is key.
Typically traders will leave them at big technical levels such as recent highs or lows. For example if EURUSD is trading at 1.1250 and the recent month’s low is 1.1205 then leaving it just below at 1.1200 seems sensible.

If you were going long, just below the double bottom support zone seems like a sensible area to leave a stop
You want to give it a bit of breathing room as we know support zones often get challenged before the price rallies. This is because lots of traders identify the same zones. You won’t be the only one selling around 1.1200.
The “weak hands” who leave their sell stop order at exactly the level are likely to get taken out as the market tests the support. Those who leave it ten or fifteen pips below the level have more breathing room and will survive a quick test of the level before a resumed run-up.
Your timeframe and trading style clearly play a part. Here’s a candlestick chart (one candle is one day) for GBPUSD.

https://preview.redd.it/moyngdy4f5h51.png?width=1200&format=png&auto=webp&s=91af88da00dd3a09e202880d8029b0ddf04fb802
If you are putting on a trend-following trade you expect to hold for weeks then you need to have a stop loss that can withstand the daily noise. Look at the downtrend on the chart. There were plenty of days in which the price rallied 60 pips or more during the wider downtrend.
So having a really tight stop of, say, 25 pips that gets chopped up in noisy short-term moves is not going to work for this kind of trade. You need to use a wider stop and take a smaller position size, determined by the stop level.
There are several tools you can use to help you estimate what is a safe distance and we’ll look at those in the next section.
There are of course exceptions. For example, if you are doing range-break style trading you might have a really tight stop, set just below the previous range high.

https://preview.redd.it/ygy0tko7f5h51.png?width=1200&format=png&auto=webp&s=34af49da61c911befdc0db26af66f6c313556c81
Clearly then where you set stops will depend on your trading style as well as your holding horizons and the volatility of each instrument.
Here are some guidelines that can help:
  1. Use technical analysis to pick important levels (support, resistance, previous high/lows, moving averages etc.) as these provide clear exit and entry points on a trade.
  2. Ensure that the stop gives your trade enough room to breathe and reflects your timeframe and typical volatility of each pair. See next section.
  3. Always pick your stop level first. Then use a calculator to determine the appropriate lot size for the position, based on the % of your account balance you wish to risk on the trade.
So far we have talked about price-based stops. There is another sort which is more of a fundamental stop, used alongside - not instead of - price stops. If either breaks you’re out.
For example if you stop understanding why a product is going up or down and your fundamental thesis has been confirmed wrong, get out. For example, if you are long because you think the central bank is turning hawkish and AUDUSD is going to play catch up with rates … then you hear dovish noises from the central bank and the bond yields retrace lower and back in line with the currency - close your AUDUSD position. You already know your thesis was wrong. No need to give away more money to the market.

Coming up in part II

EDIT: part II here
Letting stops breathe
When to change a stop
Entering and exiting winning positions
Risk:reward ratios
Risk-adjusted returns

Coming up in part III

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]

Read Carefully Experts!

This may appear to be a noob question, but read on carefully and please try and understand the point I'm trying to make! I'm hoping your answers might be helpful to people both learning Forex and looking to get into it, so please don't hate on me for this post.
I am relatively new to FX and have learned about break and retest strategies, MACD crossovers and stop losses below structure and risk to reward ratios (usually going for 1:1 or 2/3:1) and so on. I say this only so you know I've a general (very basic) understanding of charts, price action etc.
I definitely do NOT expect to step into the markets and instantly win a majority of my trades, however, to illustrate my thoughts please note the example below.
If I am winning 2% on a winning trade and losing 1% on a losing trade (2:1 reward risk per trade), a strategy that wins just 50% of the time trading once per trading day would be +10% each month. (10 days of -1%, 10 days of +2%). +10% is a HUGE increase in accounts and if a $1000 account was +10% per month for 12 months the end of year balance would be over $3138.43 or a 213.84% return!
This leads me to a theory that almost NO system can be returning 50% on a 2:1 reward risk, even with careful trade selection (let's say I monitor the 7 major pairs, gold and GBP/JPY as I do and pick one entry a day) Am I wrong? I appreciate it is a hypothetical example designed to make a point, but my thoughts are if you monitored lots of pairs and took only ONE entry a day, we might expect to win 50% of the time.
Let's expand this further. I have seen numerous algos (can't name them but looking like they win at LEAST 50% of the time) which tempt me because they appear to indicate moves I could jump on and where I could pull a bunch of pips out of the market. However, there surely cannot be a holy grail or are people making this type of insane return? It cannot be as easy as buying an algo, signing up to $300,000 worth of FTMO funding and earning 10% per month for an easy $21,000 per month income with profit share. Or maybe it is and I'm just cynical?! I end up getting tempted by courses etc. in the hope that if I spent £400 on a good course it would open the door to what I need to do, but I'm nervous this is just another huge mistake.
I genuinely would love to trade Forex for a living. Really I would. I hope it's possible and I hope to learn a strategy I can wash, rinse and repeat. I love watching videos and live streamers who seem to have a great understanding of what's going on but I wonder if it's really possible. It seems a million miles away but I'm determined to keep learning and trading.
Reading your considered thoughts to this post would be helpful for me and I'm sure others and thank you for reading it.
submitted by mal4291 to Forex [link] [comments]

Undefeated roulette tricks vs forex?

i'm new in this forex stuff (not even starting yet) & first time visiting Forex. But i've read that forex basically gambling (guessing either it goes up or down, and you got previous data as reference). I'm also read about foolproof gambling tricks that works in real life roulette. Basically it goes like this :
  1. bet $1 on red - if you win, repeat step 1.
  2. if you lose, bet $3. if you win, repeat step 1.
  3. if you lose again, bet $6. if you win, repeat step 1.
  4. if you lose again, bet $14. if you win repeat step 1.
  5. if you lose again, bet $31. if you win, repeat step 1
so, can this be apply on forex trading? (there's lot ads about forex trading apps, thinking to try it) can't profit big, but seem cant lose either. might be a good strategy. any thought?
edit 1 : what i mean in this forex is binary options, which some forex trading apps operates.
edit 2 : it takes 5 unlucky trading before $55 account blown off. is that really common to get 5 unlucky trading in a row?
edit 3 : here's the math (cnp from reply)
some forex apps (like expert option or olymp trade) operate on binary option (this is unregulated securities?) where usually they give 80% return on trade. the math goes like this :
  1. $1 trade and win = $0.80 profit
  2. lose then $3 trade and win = $2.4 - $1 (lose) = $1.4 profit
  3. lose then $6 trade and win = $4.8 - $4 (lose) = $0.8 profit
  4. lose then $14 trade and win = $11.2 - $10 (lose) = $1.2 profit
  5. lose then $31 trade and win = $24.8 - $24 (lose) = $0.8 profit
edit 4 : some reply said **binary options type forex trading apps** are scam & fraud. bummer. maybe trading via smartphone isnt easy as i thought.
edit 5 : still, add some ability to reading indicator & chart could help avoiding 5 unlucky trading in a row. damn, if i'm a programmer, i'll make a trading bots based on this idea xD

submitted by Nam3AlreadyTaken to Forex [link] [comments]

[Strategies] Here is My Trading Approach, Thought Process and Execution

Hello everyone. I've noticed a lot of us here are quite secretive about how we trade, especially when we comment on a fellow trader's post. We're quick to tell them what they're doing isn't the "right way" and they should go to babypips or YouTube. There's plenty of strategies we say but never really tell them what is working for us. There's a few others that are open to share their experience and thought processes when considering a valid trade. I have been quite open myself. But I'm always met with the same "well I see what you did is quite solid but what lead you to deem this trade valid for you? "
The answer is quite simple, I have a few things that I consider which are easy rules to follow. I realized that the simpler you make it, the easier it is for you to trade and move on with your day.
I highlight a few "valid" zones and go about my day. I've got an app that alerts me when price enters the zone on my watchlist. This is because I don't just rely on forex trading money, I doubt it would be wise to unless you're trading a 80% win rate strategy. Sometimes opportunities are there and we exploit them accordingly but sometimes we are either distracted by life issues and decide to not go into the markets stressed out or opportunities just aren't there or they are but your golden rules aren't quite met.
My rules are pretty simple, one of the prime golden rules is, "the risk is supposed to be very minimal to the reward I want to yield from that specific trade". i.e I can risk -50 pips for a +150 and more pips gain. My usual target starts at 1:2 but my most satisfying trade would be a 1:3 and above. This way I can lose 6/10 trades and still be profitable.
I make sure to keep my charts clean and simple so to understand what price does without the interference of indicators all over my charts. Not to say if you use indicators for confluence is a complete no-no. Each trader has their own style and I would be a narcissistic asshole if I assumed my way is superior than anybody else's.
NB: I'm doing this for anybody who has a vague or no idea of supply and demand. Everything here has made me profitable or at least break even but doesn't guarantee the same for you. This is just a scratch on the surface so do all you can for due diligence when it comes to understanding this topic with more depth and clear comprehension.
Supply and Demand valid zones properties; what to me makes me think "oh this zone has the potential to make me money, let me put it on my watchlist"? Mind when I say watchlist, not trade it. These are different in this sense.
👉With any zone, you're supposed to watch how price enters the zone, if there's a strong push in the opposite direction or whatever price action you're observing...only then does the zone becomes valid. YOU TRADE THE REACTION, NOT THE EXPECTATION Some setups just fail and that's okay because you didn't gamble. ✍
!!!IMPORTANT SUBJECT TO LEARN BEFORE YOU START SUPPLY AND DEMAND!!!
FTR. Failure to Return.(Please read on these if you haven't. They are extremely important in SnD). Mostly occur after an impulse move from a turning point. See attached examples: RBR(rally base rally)/DBD(drop base drop). They comprise of an initial move to a certain direction, a single candle in the opposite direction and followed by 2 or more strong candles in the initial direction. The opposite candle is your FTR(This is your zone) The first time price comes back(FTB) to a zone with an FTR has high possibilities to be a strong zone.
How to identify high quality zones according to my approach:
  1. Engulfing zones; This is a personal favorite. For less errors I identify the best opportunities using the daily and 4H chart.
On the example given, I chose the GBPNZD trade idea I shared here a month ago I believe. A double bottom is easily identified, with the final push well defined Bullish Engulfing candle. To further solidify it are the strong wicks to show strong rejection and failure to close lower than the left shoulder. How we draw our zone is highlight the whole candle just before the Engulfing Candle. That's your zone. After drawing it, you also pay attention to the price that is right where the engulfing starts. You then set a price alert on your preferred app because usually price won't get there immediately. This is the second most important part of trading, PATIENCE. If you can be disciplined enough to not leave a limit order, or place a market order just because you trust your analysis...you've won half the battle because we're not market predictors, we're students. And we trade the reaction.
On the given example, price had already reached the zone of interest. Price action observed was, there was a rejection that drove it out of the zone, this is the reaction we want. Soon as price returns(retests)...this is your time to fill or kill moment, going to a 4H or 1H to make minimum risk trades. (See GBPNZD Example 1&2)
  1. Liquidity Run; This approach looks very similar to the Engulfing zones. The difference is, price makes a few rejections on a higher timeframe level(Resistance or support). This gives the novice trader an idea that we've established a strong support or resistance, leading to them either selling or buying given the opportunity. Price then breaks that level trapping the support and resistance trader. At this point, breakout traders have stop orders below or above these levels to anticipate a breakout at major levels with stops just below the levels. Now that the market has enough traders trapped, it goes for the stop losses above or below support and resistance levels after taking them out, price comes back into the level to take out breakout traders' stop losses. This is where it has gathered enough liquidity to move it's desired direction.
The given example on the NZDJPY shows a strong level established twice. With the Bearish Engulfing movement, price leaves a supply zone...that's where we come in. We go to smaller timeframes for a well defined entry with our stops above the recent High targeting the next demand zone.
The second screenshot illustrates how high the reward of this approach is as well. Due diligence is required for this kind of approach because it's not uncommon but usually easily misinterpreted, which is why it's important it's on higher timeframes.
You can back test and establish your own rules on this but the RSI in this case was used for confluence. It showed a strong divergence which made it an even easier trade to take.
...and last but definitely not least,
  1. Double Bottom/Top. (I've used double bottoms on examples because these are the only trades I shared here so we'll talk about double bottoms. Same but opposite rules apply on double tops).
The first most important rule here is when you look to your left, price should have made a Low, High and a Lower Low. This way, the last leg(shoulder) should be lower than the first. Some call this "Hidden Zones". When drawing the zones, the top border of the zone is supposed to be on the tip of the Low and covering the Lower Low. **The top border is usually the entry point.
On the first given example I shared this week, NZDCAD. After identifying the structure, you start to look for zones that could further verify the structure for confluence. Since this was identified on the 4H, when you zoom out to the daily chart...there's a very well defined demand zone (RBR). By now you should know how strong these kind of zones are especially if found on higher timeframes. That will now be your kill zone. You'll draw another zone within the bigger zone, if price doesn't close below it...you've got a trade. You'll put your stop losses outside the initial zone to avoid wicks(liquidity runs/stop hunts)
On the second image you'll see how price closed within the zone and rallied upwards towards your targets.
The second example is CHFJPY; although looking lower, there isn't a rally base rally that further solidifies our bias...price still respected the zone. Sometimes we just aren't going to get perfect setups but it is up to us to make calculated risks. In this case, risk is very minimal considering the potential profit.
The third example (EURNZD) was featured because sometimes you just can't always get perfect price action within your desired zone. Which is why it's important to wait for price to close before actually taking a trade. Even if you entered prematurely and were taken out of the trade, the rules are still respected hence a re entry would still yield you more than what you would have lost although revenge trading is wrong.
I hope you guys learnt something new and understand the thought process that leads to deciding which setups to trade from prepared supply and demand trade ideas. It's important to do your own research and back testing that matches your own trading style. I'm more of a swing trader hence I find my zones using the Daily and 4H chart. Keeping it simple and trading the reaction to your watched zone is the most important part about trading any strategy.
Important Note: The trade ideas on this post are trades shared on this sub ever since my being active only because I don't want to share ideas that I may have carefully picked to make my trading approach a blind pick from the millions on the internet. All these were shared here.
Here's a link to the trade ideas analyzed for this post specifically
Questions are welcome on the comments section. Thank you for reading till here.
submitted by SupplyAndDemandGuy to Forex [link] [comments]

I’m an Equities trader and Forex trading seems impossible to me

This is an admittedly strange post, but the sentiment in the subject has been bugging me for a very long time. I’m an equities trader and I rely heavily on momentum, L2, and volume for my trading in addition to typical TA tools like levels, indicators, and patterns.
I’m struggling to understand how people trade Forex effectively. My understanding is that Forex markets have no reliable volume and no real indication of order flow. When I look at a Forex chart or examples of Forex setups/trades, I just see what looks like unpredictable chop. I also don’t see much structure by way of different setups or trade types, just longer term (hours or days) support/resistance levels that seem to more arbitrarily break or hold compared to in play equities.
My question is: what am I missing such that people are able to trade Forex successfully without order or volume information?
submitted by avabisque to Forex [link] [comments]

2k starting balance

Although i have been trading forex for quite some time, i never was happy with it, i love looking at charts and all, but forex compared to stock market is to me alot more boring and bland.
So I just recently made a switch to trading options.
I have researched quite a few strategies, but Iam still not sure what should i start with. I only deposited around 2k to my IBKR account to see how it goes, but Iam still not sure where to start.
Buying naked calls/puts doesnt seem like a great idea for someone with small account.
So Iam thinking about sticking with spreads, and maybe iron condors as those seem least risky from the bunch. I know i cant make huge profits with those, but i hope they will be most consistent out of all the others.
My question is what would you reccomend for someone like me?
Where did you guys start? And how profitable can one be playing spreads and iron condors?
Iam hoping to get around 10% a month return....
submitted by tinmarFF to options [link] [comments]

Wall Street Week Ahead for the trading week beginning September 14th, 2020

Good Friday evening to all of you here on StockMarket. I hope everyone on this sub made out pretty nicely in the market this past week, and is ready for the new trading week ahead.
Here is everything you need to know to get you ready for the trading week beginning September 14th, 2020.

Investors will look to the Fed to soothe the market next week, but that may be a tall order - (Source)

Markets are looking to the Federal Reserve to be a soothing force when it meets in the week ahead, but stocks could remain choppy if the central bank disappoints and as investors focus on the election and the economic recovery.
The Fed’s two-day meeting is expected to end Wednesday with minor tweaks to its statement and some clarity on how it plans to use forward guidance. The Fed also updates its economic and interest rate outlook, including forecasts for 2023 for the first time.
But Quincy Krosby, chief investment strategist at Prudential Financial, said the stock market could easily be disappointed because the Fed is unlikely to offer more clarity on monetary policy, such as plans for bond buying.
“The market is concerned the Fed is not going to give us explicit readings on their plans for monetary policy,″ she said. The Fed’s extraordinary policies have been an important factor behind the stock market’s 50% surge from the March 23 low, and it’s also seen as a major factor limiting the depth of the market’s sell-off.
Peter Boockvar, chief investment officer at Bleakley Advisory Group, said the Fed is not likely to tweak much and it continues to buy $80 billion a month in Treasurys. “I don’t think they’ll do anything to the markets either way,” he said.
Stocks were volatile in the past week, falling hard, rallying, falling and rallying again. That left the S&P 500 with a weekly decline of about 2.5%, its worst week since June. The harder hit Nasdaq was down about 4.1% for the week, its worst weekly decline since March. The quadruple expiration of options and futures at the end of the coming week could add to the volatility.
Bank of America strategists said the bond market is watching the Fed for any balance sheet adjustments and the changes to its forward guidance, which includes the Fed’s recent tweak in its inflation policy. The Fed changed its policy of focusing on a target inflation rate to an average rate, meaning it may not tighten policy if inflation overshoots its 2% target.
“We see risk the rates market is underwhelmed by the guidance provided by the Fed, which would support higher back-end rates and a steeper curve,” the Bank of America strategists noted. The benchmark 10-year Treasury yield slid in the past week, touching 0.67% Friday, and it could move higher, meaning bonds may sell-off, if the Fed does not clarify policy around its bond buying program.
Krosby said the stock market is hoping for a dovish Fed. “The market needs that now because fiscal policy is going nowhere,” she said.
BTIG strategist Julian Emanuel said the market could focus on the fact that Congress failed to make headway on fiscal stimulus, if the economic data begins to disappoint.
Retail sales for August are expected Wednesday morning, as the Fed meets. They are expected to rise by 1%, and that should be an important look at whether the lack of enhanced unemployment benefits, which expired July 31, impacted consumer spending. Among other things, Republicans and Democrats could not agree how to replace the $600 weekly payment to the unemployed.
“Depending on the polls and the economic data, the probability of stimulus rises and falls,” said Emanuel, head of equity and derivatives strategy.
“Our view is that next week is just going to be lots of back and forth with the potential for a further extension of the range for the downside, if the political narrative gets more inflamed,” said Emanuel. Emanuel expects the market to remain choppy and fall further into the month of October, as investors worry about the uncertainty around the presidential election.
The Fed’s meeting this week is its last before the election, and analysts expect Fed Chairman Jerome Powell to sound reassuring that the Fed will do whatever it takes to support the economy. Powell holds a briefing after the meeting Wednesday, and he is expected to also be asked about the potential for higher inflation. The Fed has said it is more concerned about disinflation, but recent inflation data has been hotter than expected, though still well below 2%.
“There is a tug of war between those who say buy chips now because inflation is moving higher, versus those why are saying deflationary forces are still weaving their way into the economy,” said Krosby.
Marc Chandler, chief market strategist at Bannockburn Global Forex, said he expects the Fed to sound reassuring but it’s not likely to discuss a target for bond purchases or the yield curve controls some investors were hoping for. Yield curve control would mean the Fed would try to manage interest rates by targeting its purchases of specific Treasurys. For instance, it may focus on trying to keep longer duration yields lower, and buy the 10-year.
Chandler also noted the Fed’s $7 trillion balance sheet has recently declined by about $100 billion from its peak, and its bond purchases are falling behind the European Central Bank.
“My sense is the Fed is going to keep saying it’s not worried about inflation. Its bigger worry is downside risks. They’ll repeat their call for fiscal stimulus which after this week seems less likely,” he said.
Chandler said the stock market could remain choppy in the coming week, but he does not expect a sharp selloff. The dollar could decline, if the Fed sounds dovish, and that is a positive for stocks.
“I don’t think a 10% pullback [in Nasdaq] has caused enough pain to have people capitulate. This is just an ordinary correction, and we’re going to make new highs,” he said.

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!)

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 THE CHART LINK #1!)
(CLICK HERE FOR THE CHART LINK #2!)
(CLICK HERE FOR THE CHART LINK #3!)

Election Charts You Need To See: Part 1

First off, our thoughts go out to everyone who was impacted by the tragic events of September 11, 2001—19 years ago today. It is a day to reflect and remember those who were lost.
One of the top requests we’ve had here at LPL Research is for more charts on the election. Over the next week, we will share some of our favorite charts on this very important subject.
Here’s how the S&P 500 Index performs under various presidents and congressional makeups. The best scenario has historically been a Democratic president and Republican Congress, while a Republican president and Democratic Congress has been the weakest.
(CLICK HERE FOR THE CHART!)
Building on this, a split Congress historically has been one of the best scenarios for investors.
(CLICK HERE FOR THE CHART!)
The best scenario under a Republican president is a split Congress, a potential positive for 2020 that has played out after the massive reversal in the stock market since March.
(CLICK HERE FOR THE CHART!)
Looking at the four-year presidential cycle shows that stocks haven’t been down during a year the president was up for a re-election since FDR in the 1940s, another bullish tailwind for 2020.
(CLICK HERE FOR THE CHART!)
Here’s another look at this, as stocks historically have done much better when there isn’t a lame duck president.
(CLICK HERE FOR THE CHART!)

Active Managers Do an About Face

The National Association of Active Investment Managers (NAAIM) has an index which tracks the exposure of its members to US equity markets. Each week, members are asked to provide a number that represents their exposure to markets. A reading of -200 means they are leveraged short, -100 indicates fully short, 0 is neutral, 100% is fully invested, and 200% indicates leveraged long. Two weeks ago, in our Bespoke Report, we highlighted the fact that the exposure index had moved to one of the highest levels in its 15-year history. Now, just two weeks later, these same active managers have reigned in their exposure considerably as this week's reading dropped from just under 100 to 53.1.
This week's drop was the second-largest one week decline in the index's history and just the 10th time that the index lost more than a third (33 points) in a single week. The most recent occurrence was back in early March in the middle of the Covid crash, and every other prior period where the index saw a similar drop, the S&P 500 was also down every time by an average of 2.3%. Therefore, it's not much of a surprise to see the big drop this week given the big declines in the market. But what about going forward? Do big drops in the NAAIM Index mean a bounce back for markets or further declines?
(CLICK HERE FOR THE CHART!)

The Most and Least Heavily Shorted Stocks in the Russell 1,000

Below is an updated look at the most heavily shorted stocks in the Russell 1,000. Each of these 30 stocks has at least 15% of its equity float sold short.
At the top of the list is Nordstrom (JWN) with 38.66% of its float sold short. With a YTD decline of 61.86%, the shorts have crushed it with JWN this year.
With its huge portfolio of office and retail real estate, Brookfield Property REIT(BPYU) has the second highest short interest in the Russell 1,000 at 33.7%. BPYU is down 35.7% YTD.
There are plenty of other well-known companies on the list of the most heavily shorted stocks. Examples include American Airlines (AAL), Virgin Galactic (SPCE), LendingTree (TREE), Wayfair (W), Dick's Sporting Goods (DKS), ADT, TripAdvisor (TRIP), Beyond Meat (BYND), and Kohl's (KSS).
One name that is no longer on the list of most shorted stocks is Tesla (TSLA). When we provided an update on short interest back in February (a pre-COVID world), Tesla (TSLA) had more than 17% of its float sold short, but that number is all the way down to 8.3% as of the most recent filing.
These 30 stocks with the highest short interest are down an average of 3.01% since last Wednesday (9/2) when the S&P 500 made its last closing high. That's actually a little bit better than the 3.55% average decline for the rest of the stocks in the Russell 1,000. And year-to-date, these 30 stocks are up an average of 0.60% versus an average gain of 0.81% for the rest of the index. That's not much of a difference!
(CLICK HERE FOR THE CHART!)
Below is a list of the 30 least shorted stocks in the Russell 1,000 as a percentage of equity float. None of these stocks have more than 0.71% of their float sold short, and they're mostly made up of more conservative names in the Health Care and Consumer Staples sectors.
Johnson & Johnson (JNJ) has the lowest short interest as a percentage of float in the Russell 1,000 at just 0.36%. Microsoft (MSFT) -- one of the key mega-cap Tech names -- has the second lowest short interest, followed by Merck (MRK), Eli Lilly (LLY), and Medtronic (MDT).
Somewhat surprisingly, Amazon (AMZN) is the sixth least shorted stock in the entire Russell 1,000. While AMZN is still thought of as a high-flying momentum name by many investors, its short interest levels tell a much different story, painting it as more of a non-cyclical stock like Pepsi (PEP), Procter & Gamble (PG), or Coca- Cola (KO).
While the 30 most heavily shorted stocks in the Russell 1,000 are up 0.60% YTD, the 30 least shorted stocks in the index are up much more at +8%. This group has MSFT, AMZN, HD, and AAPL to thank for that strong performance!
(CLICK HERE FOR THE CHART!)

5 Lessons Learned About Rising Rates

While the direction of the 10-year Treasury yield over the last cycle was decidedly lower, as shown in LPL’s Chart of the Day, there were still six extended periods where it rose at least 0.75%, and in two of those it rose almost 2%. Looking ahead, economic growth below potential, slack in the labor market, and an extremely supportive Federal Reserve (Fed) may limit rate pressure in the near term, but with interest rates already low and massive stimulus in place, we believe the overall direction is likely to be higher.
“Even in a falling rate period there are lessons from the last cycle about rising rates,” said LPL Financial Chief Investment Officer Burt White. “Among them: Careful when the Fed stops buying and sometimes the best defense is a good offense.”
(CLICK HERE FOR THE CHART!)
While every economic cycle is unique, the last cycle highlighted these key takeaways about periods of rising rates:
  • Careful when the Fed stops buying. The two drivers of rising rates last cycle were economic growth and Fed bond purchases, also known as quantitative easing (QE). The Fed buys bonds to keep rates down, but the start of Fed buying has actually been the time when rates rise—likely on expectations that the purchases would help strengthen the economy. These periods also often followed large rate declines either because markets anticipated the start of Fed buying or the economy was faltering. The takeaway: unless the economy is really taking off, any rising-rate period may pause for an extended period, or even reverse, when the Fed backs off bond purchases.
  • Sometime the best defense is a good offense. Lower-quality, more economically sensitive bond sectors actually performed well during periods of rising rates during the last cycle. Rate gains were largely driven by economic improvement rather than a large pick-up in inflation, and that’s typically a good environment for sectors like high-yield bonds and bank loans. The downside is that these are much riskier bond sectors and don’t provide the potential diversification benefits of higher-quality bonds during periods of stock declines.
  • Don’t expect TIPS to provide much resilience because of their inflation adjustment. Treasury Inflation-Protected Securities (TIPS) are high-quality bonds that have provided a little extra insulation against rising rates compared to similarly dated Treasuries when inflation expectations increased. TIPS prices are adjusted for inflation, but even with the adjustment, they are still very sensitive to rates.
  • Investment-grade corporates can both hurt and help. If credit spreads narrow when rates are rising, investment-grade corporates can post some solid gains in a rising-rate environment, but if spreads are holding steady or even widening, they can be very sensitive to changes in Treasury yields, potentially (although not often) even more sensitive than Treasuries.
  • Mortgage-backed securities (MBS) have not provided as much insulation as corporates, but they also have had less downside. While MBS have certainly outperformed Treasuries during periods of rising rates, they have not performed as well as investment-grade corporates. But they also have come with less downside, losing only 1.4% in their worst performing period compared to a 4% loss during the worst period for corporates. With the Fed still providing strong stimulus and economic growth potentially poised to accelerate, we currently see an increased risk of rates moving higher. We are playing some offense with our equity exposure, which allows us to emphasize a focus on higher-quality bonds. Among bond sectors, we are emphasizing MBS and still prefer investment-grade corporates over Treasuries. History may not repeat, but if it rhymes, this positioning may help add resilience to a fixed income portfolio if rates extend their move off recent lows.
With the Fed still providing strong stimulus and economic growth potentially poised to accelerate, we currently see an increased risk of rates moving higher. We are playing some offense with our equity exposure, which allows us to emphasize a focus on higher-quality bonds. Among bond sectors, we are emphasizing MBS and still prefer investment-grade corporates over Treasuries. History may not repeat, but if it rhymes, this positioning may help add resilience to a fixed income portfolio if rates extend their move off recent lows.

Best and Worst Performing Stocks Since the 9/2 High

Since the S&P 500 and Nasdaq peaked on September 2nd, we've seen rotation out of the post-COVID winners and rotation into laggards in the value space. Below we take a look at the best and worst performing stocks in the Russell 1,000 since the 9/2 high for the S&P. For each stock, we also include its YTD total return and its percentage change from the 3/23 COVID Crash low through 9/2.
Capri Holdings (CPRI) is up more than any other stock in the Russell 1,000 since 9/2 with a gain of 17.43%. Even after the recent gains, however, Capri -- the holding company for brands like Michael Kors, Jimmy Choo, and Versace -- is still down 52.9% year-to-date.
Only four other stocks are up more than 10% since 9/2 -- Beyond Meat (BYND), PVH, Virtu Financial (VIRT), and Reinsurance Group (RGA). Interestingly, BYND and VIRT are also up big (~80%) year-to-date, while PVH and RGA are both down more than 35% year-to-date.
What stands out the most about the list of winners is that only one Technology stock made the cut -- Sabre (SABR). Most names come from the two consumer sectors including cruise-liners like Carnival (CCL), Royal Caribbean (RCL) and Norwegian Cruise (NCLH), Kohl's (KSS), Williams-Sonoma (WSM), Six Flags (SIX), Foot Locker (FL), and Ralph Lauren (RL). Both UBER and LYFT also made the cut with gains of 6% since 9/2. The 30 biggest winners since 9/2 are still down an average of 20% year-to-date, while the rest of the stocks in the Russell 1,000 are up an average of 1.46% YTD.
(CLICK HERE FOR THE CHART!)
While only one Technology stock made the list of biggest winners since 9/2, the sector accounts for two-thirds of the 30 biggest losers over the same time frame. As shown below, since 9/2, the six worst performing stocks in the Russell 1,000 and ten of the worst twelve all come from Tech. Notably, though, these 30 stocks that have all fallen more than 12% since 9/2 are still up an average of 5.6% YTD. Were it not for the horrid YTD performance of the Energy stocks that made the list, the average YTD gain would be even higher.
(CLICK HERE FOR THE CHART!)

Typical Early September Weakness Recovers Mid-Month Sells Off Month-End

As of yesterday’s close the market was down more than the historical average performance in September. DJIA was down nearly -3.3%, S&P 500 was down -4.8%, NASDAQ was off 7.9%, Russell 1000 was down -5.2% and Russell 2000 lost 3.7%. Today’s rally looks like the beginning of a textbook mid-month recovery rally However, the second half of September has historically been weaker than the first half. The week after options expiration week can be treacherous with S&P 500 logging 23 weekly losses in 30 years since 1990. End-of-quarter portfolio restructuring, and window dressing can amplify the impacts of any negative headlines.
(CLICK HERE FOR THE CHART!)

STOCK MARKET VIDEO: Stock Market Analysis Video for Week Ending September 11th, 2020

(CLICK HERE FOR THE YOUTUBE VIDEO!)

STOCK MARKET VIDEO: ShadowTrader Video Weekly 9.13.20

([CLICK HERE FOR THE YOUTUBE VIDEO!]())
(VIDEO NOT YET POSTED!)
Here are the most notable companies (tickers) reporting earnings in this upcoming trading week ahead-
  • $FDX
  • $ADBE
  • $CBRL
  • $ASPU
  • $LEN
  • $DAVA
  • $BRC
  • $CMD
  • $ISR
  • $APOG
  • $ICMB
  • $HMY
  • $VNCE
  • $CSBR
  • $EARS
  • $AFIB
  • $OSH
(CLICK HERE FOR NEXT WEEK'S MOST NOTABLE EARNINGS RELEASES!)
(CLICK HERE FOR NEXT WEEK'S HIGHEST VOLATILITY EARNINGS RELEASES!)
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 9.14.20 Before Market Open:

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

Monday 9.14.20 After Market Close:

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

Tuesday 9.15.20 Before Market Open:

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

Tuesday 9.15.20 After Market Close:

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

Wednesday 9.16.20 Before Market Open:

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

Wednesday 9.16.20 After Market Close:

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

Thursday 9.17.20 Before Market Open:

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

Thursday 9.17.20 After Market Close:

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

Friday 9.18.20 Before Market Open:

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

Friday 9.18.20 After Market Close:

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

FedEx Corp. $232.79

FedEx Corp. (FDX) is confirmed to report earnings at approximately 4:00 PM ET on Tuesday, September 15, 2020. The consensus earnings estimate is $2.54 per share on revenue of $17.46 billion and the Earnings Whisper ® number is $2.78 per share. Investor sentiment going into the company's earnings release has 78% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 16.72% with revenue increasing by 2.42%. Short interest has decreased by 15.4% since the company's last earnings release while the stock has drifted higher by 46.5% from its open following the earnings release to be 54.3% above its 200 day moving average of $150.90. Overall earnings estimates have been revised higher since the company's last earnings release. On Friday, August 28, 2020 there was some notable buying of 3,504 contracts of the $250.00 call expiring on Friday, September 18, 2020. Option traders are pricing in a 10.7% move on earnings and the stock has averaged a 7.6% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Adobe Inc. $471.35

Adobe Inc. (ADBE) is confirmed to report earnings at approximately 4:05 PM ET on Tuesday, September 15, 2020. The consensus earnings estimate is $2.41 per share on revenue of $3.15 billion and the Earnings Whisper ® number is $2.47 per share. Investor sentiment going into the company's earnings release has 76% expecting an earnings beat The company's guidance was for earnings of approximately $2.40 per share. Consensus estimates are for year-over-year earnings growth of 12.62% with revenue increasing by 11.15%. Short interest has decreased by 14.1% since the company's last earnings release while the stock has drifted higher by 15.2% from its open following the earnings release to be 25.2% above its 200 day moving average of $376.45. Overall earnings estimates have been revised higher since the company's last earnings release. On Thursday, August 27, 2020 there was some notable buying of 18,006 contracts of the $455.00 put expiring on Friday, September 25, 2020. Option traders are pricing in a 12.5% move on earnings and the stock has averaged a 6.2% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Cracker Barrel Old Country Store, Inc. $136.79

Cracker Barrel Old Country Store, Inc. (CBRL) is confirmed to report earnings at approximately 8:00 AM ET on Tuesday, September 15, 2020. The consensus estimate is for a loss of $0.55 per share on revenue of $483.68 million and the Earnings Whisper ® number is ($0.49) per share. Investor sentiment going into the company's earnings release has 28% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 120.37% with revenue decreasing by 38.55%. Short interest has decreased by 2.1% since the company's last earnings release while the stock has drifted higher by 30.0% from its open following the earnings release to be 12.5% above its 200 day moving average of $121.64. Overall earnings estimates have been revised higher since the company's last earnings release. On Thursday, August 27, 2020 there was some notable buying of 1,012 contracts of the $190.00 call expiring on Friday, January 15, 2021. Option traders are pricing in a 10.6% move on earnings and the stock has averaged a 2.9% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Aspen Group, Inc. $11.54

Aspen Group, Inc. (ASPU) is confirmed to report earnings at approximately 4:00 PM ET on Monday, September 14, 2020. The consensus estimate is for a loss of $0.04 per share on revenue of $14.26 million and the Earnings Whisper ® number is ($0.03) per share. Investor sentiment going into the company's earnings release has 49% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 63.64% with revenue increasing by 37.67%. Short interest has increased by 56.8% since the company's last earnings release while the stock has drifted higher by 16.0% from its open following the earnings release to be 32.3% above its 200 day moving average of $8.72. The stock has averaged a 11.1% move on earnings in recent quarters.

(CLICK HERE FOR THE CHART!)

Lennar Corp. $77.48

Lennar Corp. (LEN) is confirmed to report earnings at approximately 4:35 PM ET on Monday, September 14, 2020. The consensus earnings estimate is $1.51 per share on revenue of $5.33 billion and the Earnings Whisper ® number is $1.67 per share. Investor sentiment going into the company's earnings release has 65% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 5.03% with revenue decreasing by 9.00%. Short interest has decreased by 16.5% since the company's last earnings release while the stock has drifted higher by 20.2% from its open following the earnings release to be 29.6% above its 200 day moving average of $59.78. Overall earnings estimates have been revised higher since the company's last earnings release. Option traders are pricing in a 8.4% move on earnings and the stock has averaged a 2.9% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Endava $53.03

Endava (DAVA) is confirmed to report earnings at approximately 7:20 AM ET on Tuesday, September 15, 2020. The consensus earnings estimate is $0.19 per share on revenue of $107.96 million and the Earnings Whisper ® number is $0.22 per share. Investor sentiment going into the company's earnings release has 33% expecting an earnings beat The company's guidance was for earnings of $0.18 to $0.20 per share on revenue of $105.00 million to $106.00 million. Consensus estimates are for earnings to decline year-over-year by 26.92% with revenue increasing by 9.61%. Short interest has increased by 56.2% since the company's last earnings release while the stock has drifted higher by 11.1% from its open following the earnings release to be 12.7% above its 200 day moving average of $47.06. Overall earnings estimates have been revised lower since the company's last earnings release. The stock has averaged a 6.7% move on earnings in recent quarters.

(CLICK HERE FOR THE CHART!)

Brady Corp. $45.34

Brady Corp. (BRC) is confirmed to report earnings at approximately 7:00 AM ET on Wednesday, September 16, 2020. The consensus earnings estimate is $0.55 per share on revenue of $260.00 million and the Earnings Whisper ® number is $0.56 per share. Investor sentiment going into the company's earnings release has 31% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 19.12% with revenue decreasing by 11.95%. Short interest has decreased by 37.3% since the company's last earnings release while the stock has drifted higher by 0.6% from its open following the earnings release to be 7.5% below its 200 day moving average of $49.01. Overall earnings estimates have been revised lower since the company's last earnings release. Option traders are pricing in a 5.3% move on earnings and the stock has averaged a 2.6% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Cantel Medical Corp. $49.12

Cantel Medical Corp. (CMD) is confirmed to report earnings at approximately 7:00 AM ET on Thursday, September 17, 2020. The consensus earnings estimate is $0.08 per share on revenue of $232.80 million and the Earnings Whisper ® number is $0.09 per share. Investor sentiment going into the company's earnings release has 39% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 87.30% with revenue decreasing by 2.79%. Short interest has decreased by 19.9% since the company's last earnings release while the stock has drifted higher by 4.5% from its open following the earnings release to be 3.7% below its 200 day moving average of $51.02. Overall earnings estimates have been revised lower since the company's last earnings release. Option traders are pricing in a 17.8% move on earnings and the stock has averaged a 7.9% move in recent quarters.

(CLICK HERE FOR THE CHART!)

IsoRay Inc $0.63

IsoRay Inc (ISR) is confirmed to report earnings at approximately 4:15 PM ET on Thursday, September 17, 2020. The consensus estimate is for a loss of $0.01 per share on revenue of $2.77 million. Investor sentiment going into the company's earnings release has 25% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 50.00% with revenue increasing by 43.97%. Short interest has decreased by 26.8% since the company's last earnings release while the stock has drifted lower by 33.7% from its open following the earnings release to be 6.7% below its 200 day moving average of $0.68. Overall earnings estimates have been unchanged since the company's last earnings release. The stock has averaged a 8.2% move on earnings in recent quarters.

(CLICK HERE FOR THE CHART!)

Apogee Enterprises, Inc. $19.49

Apogee Enterprises, Inc. (APOG) is confirmed to report earnings at approximately 6:30 AM ET on Thursday, September 17, 2020. The consensus earnings estimate is $0.34 per share. Investor sentiment going into the company's earnings release has 19% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 52.78% with revenue increasing by 179.79%. Short interest has decreased by 4.7% since the company's last earnings release while the stock has drifted lower by 7.2% from its open following the earnings release to be 23.9% below its 200 day moving average of $25.63. Option traders are pricing in a 10.1% move on earnings and the stock has averaged a 10.4% move in recent quarters.

(CLICK HERE FOR THE CHART!)

DISCUSS!

What are you all watching for in this upcoming trading week?
I hope you all have a wonderful weekend and a great trading week ahead StockMarket.
submitted by bigbear0083 to StockMarket [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.
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