Forex Trading: A Beginner's Guide

[FOREX Real Money Balance Update] After depositing $496 into my Forex Account at the beginning of this month, today I officially doubled my account balance and crossed over $1k due to $443 in Net Profits this month. I still have 1 more trade idea tomorrow, but I'm proud of my accomplishments so far!

[FOREX Real Money Balance Update] After depositing $496 into my Forex Account at the beginning of this month, today I officially doubled my account balance and crossed over $1k due to $443 in Net Profits this month. I still have 1 more trade idea tomorrow, but I'm proud of my accomplishments so far! submitted by Rebel-Wit-A-Bezel to u/Rebel-Wit-A-Bezel [link] [comments]

How to Begin Forex Trading in South Africa with just $10 | The African Exponent.

How to Begin Forex Trading in South Africa with just $10 | The African Exponent. submitted by moneyshouters to u/moneyshouters [link] [comments]

China's answer to Nasdaq set to begin trading - Forex Factory

China's answer to Nasdaq set to begin trading - Forex Factory submitted by przemkas to FreshNewsToday [link] [comments]

Win $3,000 Cash in a Forex Trading Account to Begin your Trading Career {WW} See Rules for Excluded States and Countries (07/20/2017)

Win $3,000 Cash in a Forex Trading Account to Begin your Trading Career {WW} See Rules for Excluded States and Countries (07/20/2017) submitted by Aiwayume to giveaways [link] [comments]

look for the Christmas Gold run to begin - Inside Futures: Relevant trading-focused information authored by key players in the futures, options and forex industries

look for the Christmas Gold run to begin - Inside Futures: Relevant trading-focused information authored by key players in the futures, options and forex industries submitted by badon_ to Investments [link] [comments]

As you begin to learn the Forex system, you will come across a variety of software systems for your consideration. While you can certainly manage your accounts and trades manually, most traders find a tremendous amount of benefit

submitted by lindamartin to reddit.com [link] [comments]

Here's some trading advice from a fellow trader

I currently manage around half a million dollars and have been trading for 6+ years with 3 years of consistent profitability. Paid for my trading lessons the hard way by losing a lot of money at first. Here's some advice that might help you.
1) Treat trading like a business. I know you probably heard this 100 times before but I feel like I should emphasize this point. Majority of traders overestimate their ability to make money and underestimate their risk exposure.
2) Think long term. The more complex your trading system is, the less freedom it has in terms of flexibility because of too many variables in your analysis. So, keep your trading system simple.
3) Do not rationalize or predict the market. Do not look for comfort in your strategy. In fact, do the reverse. Find comfort in the thought that markets are chaotic and there's always a good chance of you losing a lot of money. This should keep you up on your toes and controls your greed during a profitable streak (You are not a money printing machine, trust me. )
4) Every trade you open should be assumed as a loss. This is very important in terms of having a healthy mindset towards managing risk. I never open a position based on how much money I can make. I do it based on how much I can afford to lose in this particular trade.
5) Biggest mistake I have observed while working with other traders is not doing their homework. If you don't plan your trades before the day even began, then you will develop a mindset of chasing the market which will lead to your downfall. Which brings me to my next point
6) Maintain three things - a) your daily trading notes that you read before you begin trading b) market observation notes which includes particular strategies and observations in specific markets and c) a full fledged trading journal where you record everything you traded. Always remember that majority of your trading work is done when you're not trading.
7) Journaling is the most important and also most neglected part of trading and most traders, including some very good traders do it in a wrong way. How do I know that?
Let me ask you something : Tell me about what kind of trading setups were the most and least profitable in the last 100 trades. Explain them to me in detail including your analysis and opinion on what you think might have happened.
If you can answer this in detail and with specific examples from your last 100 trades then I know you have a good journaling habit. If you cannot , then it's time to improve on your record keeping. Remember that your journals are the only way you can guarantee that you will grow as a trader.
8) Remember this no matter what - Not having a position in the market is itself a position if you know what you are doing. There's no need for you to always trade all day everyday and try to make money. In fact, I can guarantee you that markets will not always behave according to your trading system and during those times trying to "find a needle in a haystack " type of behavior is reckless and will take an emotional toll on your mind. Just sit on the sidelines if the market isn't moving according to your system.
9) There's no thing as overbought or oversold scenarios especially in forex. Heaving a bearish bias because the market moved up by a lot is just ridiculous and most likely guarantee that you miss out on bullish scenarios. If you start developing a bearish bias after a huge bullish move then you better have a damn good reason for it instead of just saying " It moved up by a lot so I'm expecting a reversal".
10) This one is a personal opinion. Always remember to take breaks and relax during the weekends. Managing stress while maintaining performance is a huge part of the job and I don't want you to burn out after a few months of serious trading everyday. Maintain a decent social life outside of trading to keep your sanity intact. Get some hobbies. Your health and well being is very important to your long term performance as a trader so don't neglect it.
submitted by mechz21 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]

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submitted by ViralMedia007 to FREECoursesEveryday [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]

Need technical analysis content

Hi! Im from Brasil and i started to trade binary options on the beginning of the pandemic cuz of youtube scammers, i was tricked so i decided to study macroeconomics and trade Forex. But turns out that im really crappy at technical analysis, been focusing too much on fundamental that i totally forgot the only thing this fucking scammer teached me.
Now im having difficult times to learn technical analysis cuz the content around here ( Brazillian content ) makes me wanna puke. Somebody could give me some great content ( i like price action ), so that i can learn.
Thanks, i really appreciate it.
Edit1: i have one question. Do you guys think Al Brooks is trustable?
submitted by marciliwu to Forex [link] [comments]

Website listing probability of various indicators?

Hi everyone,
Hope you're having a good day.
I'm looking to tweak my trading strategy so that my trade execution becomes more dependant on a simple probability percentage which will ideally be a combination of different indicators.
Does anyone know if there is a website/post that has listed the probability of various 'common' indicators/buy signals? This would be on a very macro scale & include all major currency pairs, but I'm just curious to know if something like this exists before I begin my own research & back testing.
If there is no specific site with such data available, I would also love to be pointed in the direction of any sites that you consider useful that contains useful historical forex data.
Cheers!
submitted by Brickfieldpark to Forex [link] [comments]

Former investment bank FX trader: news trading and second order thinking

Former investment bank FX trader: news trading and second order thinking
Thanks to everyone who responded to the previous pieces on risk management. We ended up with nearly 2,000 upvotes and I'm delighted so many of you found it useful.
This time we're going to focus on a new area: reacting to and trading around news and fundamental developments.
A lot of people get this totally wrong and the main reason is that they trade the news at face value, without considering what the market had already priced in. If you've ever seen what you consider to be "good" or "better than forecast" news come out and yet been confused as the pair did nothing or moved in the opposite direction to expected, read on...
We are going to do this in two parts.
Part I
  • Introduction
  • Why use an economic calendar
  • How to read the calendar
  • Knowing what's priced in
  • Surveys
  • Rates decisions
  • First order thinking vs second order thinking

Introduction

Knowing how to use and benefit from the economic calendar is key for all traders - not just news traders.
In this chapter we are going to take a practical look at how to use the economic calendar. We are also going to look at how to interpret news using second order thinking.
The key concept is learning what has already been ‘priced in’ by the market so we can estimate how the market price might react to the new information.

Why use an economic calendar

The economic calendar contains all the scheduled economic releases for that day and week. Even if you purely trade based on technical analysis, you still must know what is in store.

https://preview.redd.it/20xdiq6gq4k51.png?width=1200&format=png&auto=webp&s=6cd47186db1039be7df4d7ad6782de36da48f1db
Why? Three main reasons.
Firstly, releases can help provide direction. They create trends. For example if GBPUSD has been fluctuating aimlessly within a range and suddenly the Bank of England starts raising rates you better believe the British Pound will start to move. Big news events often start long-term trends which you can trade around.
Secondly, a lot of the volatility occurs around these events. This is because these events give the market new information. Prior to a big scheduled release like the US Non Farm Payrolls you might find no one wants to take a big position. After it is released the market may move violently and potentially not just in a single direction - often prices may overshoot and come back down. Even without a trend this volatility provides lots of trading opportunities for the day trader.

https://preview.redd.it/u17iwbhiq4k51.png?width=1200&format=png&auto=webp&s=98ea8ed154c9468cb62037668c38e7387f2435af
Finally, these releases can change trends. Going into a huge release because of a technical indicator makes little sense. Everything could reverse and stop you out in a moment. You need to be aware of which events are likely to influence the positions you have on so you can decide whether to keep the positions or flatten exposure before the binary event for which you have no edge.
Most traders will therefore ‘scan’ the calendar for the week ahead, noting what the big events are and when they will occur. Then you can focus on each day at a time.

Reading the economic calendar


Most calendars show events cut by trading day. Helpfully they adjust the time of each release to your own timezone. For example we can see that the Bank of Japan Interest Rate decision is happening at 4am local time for this particular London-based trader.

https://preview.redd.it/lmx0q9qoq4k51.jpg?width=1200&format=pjpg&auto=webp&s=c6e9e1533b1ba236e51296de8db3be55dfa78ba1

Note that some events do not happen at a specific time. Think of a Central Banker’s speech for example - this can go on for an hour. It is not like an economic statistic that gets released at a precise time. Clicking the finger emoji will open up additional information on each event.

Event importance

How do you define importance? Well, some events are always unimportant. With the greatest of respect to Italian farmers, nobody cares about mundane releases like Italian farm productivity figures.
Other events always seem to be important. That means, markets consistently react to them and prices move. Interest rate decisions are an example of consistently high importance events.
So the Medium and High can be thought of as guides to how much each event typically affects markets. They are not perfect guides, however, as different events are more or less important depending on the circumstances.
For example, imagine the UK economy was undergoing a consumer-led recovery. The Central Bank has said it would raise interest rates (making GBPUSD move higher) if they feel the consumer is confident.
Consumer confidence data would suddenly become an extremely important event. At other times, when the Central Bank has not said it is focused on the consumer, this release might be near irrelevant.

Knowing what's priced in

Next to each piece of economic data you can normally see three figures. Actual, Forecast, and Previous.
  • Actual refers to the number as it is released.
  • Forecast refers to the consensus estimate from analysts.
  • Previous is what it was last time.
We are going to look at this in a bit more detail later but what you care about is when numbers are better or worse than expected. Whether a number is ‘good’ or ‘bad’ really does not matter much. Yes, really.

Once you understand that markets move based on the news vs expectations, you will be less confused by price action around events

This is a common misunderstanding. Say everyone is expecting ‘great’ economic data and it comes out as ‘good’. Does the price go up?
You might think it should. After all, the economic data was good. However, everyone expected it to be great and it was just … good. The great release was ‘priced in’ by the market already. Most likely the price will be disappointed and go down.
By priced in we simply mean that the market expected it and already bought or sold. The information was already in the price before the announcement.
Incidentally the official forecasts can be pretty stale and might not accurately capture what active traders in the market expect. See the following example.

An example of pricing in

For example, let’s say the market is focused on the number of Tesla deliveries. Analysts think it’ll be 100,000 this quarter. But Elon Musk tweets something that hints he’s really, really, really looking forward to the analyst call. Tesla’s price ticks higher after the tweet as traders put on positions, reflecting the sentiment that Tesla is likely to massively beat the 100,000. (This example is not a real one - it just serves to illustrate the concept.)

Tesla deliveries are up hugely vs last quarter ... but they are disappointing vs market expectations ... what do you think will happen to the stock?

On the day it turns out Tesla hit 101,000. A better than the officially forecasted result - sure - but only marginally. Way below what readers of Musk's twitter account might have thought. Disappointed traders may sell their longs and close out the positions. The stock might go down on ‘good’ results because the market had priced in something even better. (This example is not a real one - it just serves to illustrate the concept.)

Surveys

It can be a little hard to know what the market really expects. Often the published forecasts are stale and do not reflect what actual traders and investors are looking for.
One of the most effective ways is a simple survey of investors. Something like a Twitter poll like this one from CNBC is freely available and not a bad barometer.
CNBC, Bloomberg and other business TV stations often have polls on their Twitter accounts that let you know what others are expecting

Interest rates decisions

We know that interest rates heavily affect currency prices.
For major interest rate decisions there’s a great tool on the CME’s website that you can use.

See the link for a demo

This gives you a % probability of each interest rate level, implied by traded prices in the bond futures market. For example, in the case above the market thinks there’s a 20% chance the Fed will cut rates to 75-100bp.
Obviously this is far more accurate than analyst estimates because it uses actual bond prices where market participants are directly taking risk and placing bets. It basically looks at what interest rate traders are willing to lend at just before/after the date of the central bank meeting to imply the odds that the market ascribes to a change on that date.
Always try to estimate what the market has priced in. That way you have some context for whether the release really was better or worse than expected.

Second order thinking

You have to know what the market expects to try and guess how it’ll react. This is referred to by Howard Marks of Oaktree as second-level thinking. His explanation is so clear I am going to quote extensively.
It really is hard to improve on this clarity of thought:
First-level thinking is simplistic and superficial, and just about everyone can do it (a bad sign for anything involving an attempt at superiority). All the first-level thinker needs is an opinion about the future, as in “The outlook for the company is favorable, meaning the stock will go up.” Second-level thinking is deep, complex and convoluted.
Howard Marks
He explains first-level thinking:
The first-level thinker simply looks for the highest quality company, the best product, the fastest earnings growth or the lowest p/e ratio. He’s ignorant of the very existence of a second level at which to think, and of the need to pursue it.
Howard Marks
The above describes the guy who sees a 101,000 result and buys Tesla stock because - hey, this beat expectations. Marks goes on to describe second-level thinking:
The second-level thinker goes through a much more complex process when thinking about buying an asset. Is it good? Do others think it’s as good as I think it is? Is it really as good as I think it is? Is it as good as others think it is? Is it as good as others think others think it is? How will it change? How do others think it will change? How is it priced given: its current condition; how do I think its conditions will change; how others think it will change; and how others think others think it will change? And that’s just the beginning. No, this isn’t easy.
Howard Marks
In this version of events you are always thinking about the market’s response to Tesla results.
What do you think they’ll announce? What has the market priced in? Is Musk reliable? Are the people who bought because of his tweet likely to hold on if he disappoints or exit immediately? If it goes up at which price will they take profit? How big a number is now considered ‘wow’ by the market?
As Marks says: not easy. However, you need to start getting into the habit of thinking like this if you want to beat the market. You can make gameplans in advance for various scenarios.
Here are some examples from Marks to illustrate the difference between first order and second order thinking.

Some further examples
Trying to react fast to headlines is impossible in today’s market of ultra fast computers. You will never win on speed. Therefore you have to out-think the average participant.

Coming up in part II

Now that we have a basic understanding of concepts such as expectations and what the market has priced in, we can look at some interesting trading techniques and tools.
Part II
  • Preparing for quantitative and qualitative releases
  • Data surprise index
  • Using recent events to predict future reactions
  • Buy the rumour, sell the fact
  • The trimming position effect
  • Reversals
  • Some key FX releases
Hope you enjoyed this note. As always, please reply with any questions/feedback - it is fun to hear from you.
***
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]

Gambling has fucked my life up

I am 20 years old and have lost all of my savings on gambling through sportsbooks, and stupidly gambling on the forex market. I know some wont consider forex market gambling but the way i trade it sure as hell is gambling.
It always starts by me making a decent amount of profit the first couple days and then there comes one day where i will take a couple losses. i then begin to chase my losses which always ends up in me blowing my account. Then i convince myself that if i just put in more money i will make my losses back and it will all be fine. a couple days later and my account is blown once again. its a cycle that never stops.
So far i have lost about $7,000 which is alot of money for where i am in life. i have no job or no car and im constantly depressed since i am consistently losing my money.
It is so humiliating to see people around me thriving in life while im home losing my last dollar to a stupid addiction. I have to lie to my family and girlfriend about my financial situation all the time and it genuinely hurts me. Today i lost my last $700 that i had in my account betting on some stupid college football game. I have had enough. i want to get over this before it ruins my life.
submitted by sgjose21 to GamblingAddiction [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]

My girlfriend of 8 years admitted she cheated on me with a close friend (messy)

So, since I'm here I suppose I should give some backstory. This will probably get lengthy so ill put a tl;dr at the bottom.
I (M/23) started dating my (ex)girlfriend (We'll call her C; F/23) since sophomore year in high school. We were the textbook "high school sweethearts". Fast forward thru 6 years of good, bad and everything in between; having 2 two kids and dealing with a miscarriage, etc... we essentially were a married couple without the title, and we pretty much operated as such. (ironically enough i was planning on proposing to her the week after d-day..)
Now the last year or so me and C had been hanging out with one of my close friends (we'll call him J) and his girlfriend (S); who also have two kids together. Me and J had known each other for years, but hadn't talked much recently so it was cool to catch up; and S and my girlfriend C became friends quickly, as well as our children. At this point we are like family to each other, we went on vacations together, playdates, babysat for each other etc.
Now, the past few months before d-day, C started to show telltale signs of cheating (now that I look back).. but due to the fact that she has severe bipolar disorder which she is prescribed medication for (but she did not take it regularly), it was hard for me to fully gauge what was going on; because manic depressive episodes can exhibit wild symptoms that eerily align with cheating behavior (i know, i pick em great right). So I was concerned; but moreso for her mental well being, than for what I was about to discover in the near future.
Here's where things get hairy.
(D-Day) So I get ready leave the house to do uber eats. I do this part time to pay the bills, I've been learning to trade forex for the last few months so I needed something that could free up time. Anyway, before I leave C asks me for a kiss, I kiss her and the kids and then I head out... No less than 20 minutes after I left, I check my phone and see a string of messages from C, and then I get a call from her. When I answer the phone she's already crying. She tells me that about two months ago her and J fucked. She tells me that J told her I would run off and fuck other girls and meet up with them on some dating app on my phone. None of which is true, for the record. He essentially fed her a bunch of bullshit, and she blindly accepted it as truth. She claims she fucked him to get "revenge" at me for everything I ever "did" (even though as far as infidelity goes, I did nothing). C destroyed our relationship, family, and her friendship with S, all off of hearsay. J helped mastermind it all, and also destroyed our friendship, along with his relationship with S. Worst part is, I was hitting J up the 2 weeks before D-Day to chill, and he wouldn't even respond. Making me look like an even bigger clown. I reacted in pure rage, said some things I probably shouldn't have in the heat of the moment, and then told her to get her shit out of my house.
She of course at this point is hysterical and is screaming through tears for me to not leave her, that she wants to save our family, that it only happened once and there was no feelings involved beyond her trying to get back at me. At this point though I just don't know if I can believe it. both C and J disrespected me to the ABSOLUTE highest level, not only me but also S. They orchestrated a whole plan to make it happen and then hid it for 2 months. She did also come to me and admit it on her own. Not that that excuses it AT ALL, but my thinking is, in reality I could've found out in worse ways than her direct admission.
I'm so torn here reddit. I love this girl to death, and want nothing more than to save our family. I grew up in a split home and i saw and heard things I shouldn't have, and i remember the depression i went through during that time.. i dont want that for my kids..
BUT I also know that I've NEVER been betrayed like this before in my life, not only by an SO but a friend as well. I'm completely heartbroken, and I've had hurt in the past but I've never felt true heartbreak like I do right now. Im doing my best to avoid contacting her, but we have two kids so it makes it really hard at times.. ive been learning to focus on me, but I have to literally keep my mind preoccupied 110% of the time, or I start to go into the same thought loops about this whole situation :(.
Do I give the love of my life a second chance after something like this? For the sake of my family? I know I have zero trust for her, and i understand that if we EVER were to rekindle something in the future, it will be a long time, if ever before the pain goes away. it will not be the same as before, we will be starting from scratch. I just would like advice on if there's anything worth saving or not.
If so, what signs should I be looking for thats shes actually invested in making things right?
If not, how do i start this healing process and begin to move on from an 8 year investment and a now dysfunctional family? Because I'm so fucking lost right now guys.
Thanks for reading all the way to the end, I dropped tears writing this and any advice is appreciated.
**UPDATE 9/20
C is out out the house now. Ironically she's already moved into a new apartment. I'm not dumb and I know 9 times out of 10 you don't just find an new apartment in a single day.. maybe my paranoia but probably not honestly. Ive been avoiding contact with her beyond child related things.
I tried to contact S, but Ironically her phone was broken in the fight her and J had... she tried to message me on Facebook the night I found out to help her move her daughter dressed into a storage unit, but I was physically weak and couldn't even think of what to say in response at that time. Not that she did anything wrong at all. At this point S has removed herself from Facebook so I'm trying to figure out another way to get ahold of her to try to get extra insight. Will post another update if/when I get more details.
C tried to "shit test" me today, and since we're now apart i could see it blind as day. She FaceTimed me, I normally would've ignored but i can see my daughter on the preview so i answer. C claims the kids wanted to talk to me, but they seemed relatively uninterested when I tried. Which no big deal, but its what came next that was so weird. What im talking about is her making a comment on a new vape i just got. How it was "so cool" and she wanted to see me take a drag off it again. This is significant only because I KNOW from being with her for 8 years that it turns her on to see me do smoke tricks. That's just always been her. On top of that, she kept taking the camera off the kids, and trying to talk to me about things that happened in her day indirectly. I kept it brief and told her i was busy before she could drag it on.. WHY IS SHE DOING THIS? This is fucking with my head even more now..
ALSO today I was working on music and I went into my downloads folder and noticed something called "J's App". Its date modified is 8/11. This lines up with the timeline C gave me which made me sick to my stomach. I open it, fully prepared to find some type of cynical cheating app they were using to sneak around on me with...
Turns out its an application for some ged boot camp for high-school drop outs. This girl had the NERVE to let this fucking bum use my laptop to apply for this shit?! I now certainly question the length of their relationship and the details behind it. For now, im going to continue with space and avoiding contact but I will be sitting down with C next week to lay everything on the table. Full truths, full openness, adult discussion no kid games. At that point ill either have closure to know the truth (or as much as I can get of it), or know if there's any chance of redemption, which at this point has went from 25% to 5%.
Thank you all sooo much for your advice and support during this; Alot of hard pills to swallow right now but its what I need. You guys are foreal a family to me and I will be here to support anyone here, new or old thats ever had to feel the way i feel right now.
Tl;dr my girlfriend of 8 years and mother of my 2 kids had an ONS with my friend, who is(was) dating her best friend. Now she wants to work things out
submitted by iknowalotaboutdrugs to survivinginfidelity [link] [comments]

Former investment bank FX trader: Risk management part 3/3

Former investment bank FX trader: Risk management part 3/3
Welcome to the third and final part of this chapter.
Thank you all for the 100s of comments and upvotes - maybe this post will take us above 1,000 for this topic!
Keep any feedback or questions coming in the replies below.
Before you read this note, please start with Part I and then Part II so it hangs together and makes sense.
Part III
  • Squeezes and other risks
  • Market positioning
  • Bet correlation
  • Crap trades, timeouts and monthly limits

Squeezes and other risks

We are going to cover three common risks that traders face: events; squeezes, asymmetric bets.

Events

Economic releases can cause large short-term volatility. The most famous is Non Farm Payrolls, which is the most widely watched measure of US employment levels and affects the price of many instruments.On an NFP announcement currencies like EURUSD might jump (or drop) 100 pips no problem.
This is fine and there are trading strategies that one may employ around this but the key thing is to be aware of these releases.You can find economic calendars all over the internet - including on this site - and you need only check if there are any major releases each day or week.
For example, if you are trading off some intraday chart and scalping a few pips here and there it would be highly sensible to go into a known data release flat as it is pure coin-toss and not the reason for your trading. It only takes five minutes each day to plan for the day ahead so do not get caught out by this. Many retail traders get stopped out on such events when price volatility is at its peak.

Squeezes

Short squeezes bring a lot of danger and perhaps some opportunity.
The story of VW and Porsche is the best short squeeze ever. Throughout these articles we've used FX examples wherever possible but in this one instance the concept (which is also highly relevant in FX) is best illustrated with an historical lesson from a different asset class.
A short squeeze is when a participant ends up in a short position they are forced to cover. Especially when the rest of the market knows that this participant can be bullied into stopping out at terrible levels, provided the market can briefly drive the price into their pain zone.

There's a reason for the car, don't worry
Hedge funds had been shorting VW stock. However the amount of VW stock available to buy in the open market was actually quite limited. The local government owned a chunk and Porsche itself had bought and locked away around 30%. Neither of these would sell to the hedge-funds so a good amount of the stock was un-buyable at any price.
If you sell or short a stock you must be prepared to buy it back to go flat at some point.
To cut a long story short, Porsche bought a lot of call options on VW stock. These options gave them the right to purchase VW stock from banks at slightly above market price.
Eventually the banks who had sold these options realised there was no VW stock to go out and buy since the German government wouldn’t sell its allocation and Porsche wouldn’t either. If Porsche called in the options the banks were in trouble.
Porsche called in the options which forced the shorts to buy stock - at whatever price they could get it.
The price squeezed higher as those that were short got massively squeezed and stopped out. For one brief moment in 2008, VW was the world’s most valuable company. Shorts were burned hard.

Incredible event
Porsche apparently made $11.5 billion on the trade. The BBC described Porsche as “a hedge fund with a carmaker attached.”
If this all seems exotic then know that the same thing happens in FX all the time. If everyone in the market is talking about a key level in EURUSD being 1.2050 then you can bet the market will try to push through 1.2050 just to take out any short stops at that level. Whether it then rallies higher or fails and trades back lower is a different matter entirely.
This brings us on to the matter of crowded trades. We will look at positioning in more detail in the next section. Crowded trades are dangerous for PNL. If everyone believes EURUSD is going down and has already sold EURUSD then you run the risk of a short squeeze.
For additional selling to take place you need a very good reason for people to add to their position whereas a move in the other direction could force mass buying to cover their shorts.
A trading mentor when I worked at the investment bank once advised me:
Always think about which move would cause the maximum people the maximum pain. That move is precisely what you should be watching out for at all times.

Asymmetric losses

Also known as picking up pennies in front of a steamroller. This risk has caught out many a retail trader. Sometimes it is referred to as a "negative skew" strategy.
Ideally what you are looking for is asymmetric risk trade set-ups: that is where the downside is clearly defined and smaller than the upside. What you want to avoid is the opposite.
A famous example of this going wrong was the Swiss National Bank de-peg in 2012.
The Swiss National Bank had said they would defend the price of EURCHF so that it did not go below 1.2. Many people believed it could never go below 1.2 due to this. Many retail traders therefore opted for a strategy that some describe as ‘picking up pennies in front of a steam-roller’.
They would would buy EURCHF above the peg level and hope for a tiny rally of several pips before selling them back and keep doing this repeatedly. Often they were highly leveraged at 100:1 so that they could amplify the profit of the tiny 5-10 pip rally.
Then this happened.

Something that changed FX markets forever
The SNB suddenly did the unthinkable. They stopped defending the price. CHF jumped and so EURCHF (the number of CHF per 1 EUR) dropped to new lows very fast. Clearly, this trade had horrific risk : reward asymmetry: you risked 30% to make 0.05%.
Other strategies like naively selling options have the same result. You win a small amount of money each day and then spectacularly blow up at some point down the line.

Market positioning

We have talked about short squeezes. But how do you know what the market position is? And should you care?
Let’s start with the first. You should definitely care.
Let’s imagine the entire market is exceptionally long EURUSD and positioning reaches extreme levels. This makes EURUSD very vulnerable.
To keep the price going higher EURUSD needs to attract fresh buy orders. If everyone is already long and has no room to add, what can incentivise people to keep buying? The news flow might be good. They may believe EURUSD goes higher. But they have already bought and have their maximum position on.
On the flip side, if there’s an unexpected event and EURUSD gaps lower you will have the entire market trying to exit the position at the same time. Like a herd of cows running through a single doorway. Messy.
We are going to look at this in more detail in a later chapter, where we discuss ‘carry’ trades. For now this TRYJPY chart might provide some idea of what a rush to the exits of a crowded position looks like.

A carry trade position clear-out in action
Knowing if the market is currently at extreme levels of long or short can therefore be helpful.
The CFTC makes available a weekly report, which details the overall positions of speculative traders “Non Commercial Traders” in some of the major futures products. This includes futures tied to deliverable FX pairs such as EURUSD as well as products such as gold. The report is called “CFTC Commitments of Traders” ("COT").
This is a great benchmark. It is far more representative of the overall market than the proprietary ones offered by retail brokers as it covers a far larger cross-section of the institutional market.
Generally market participants will not pay a lot of attention to commercial hedgers, which are also detailed in the report. This data is worth tracking but these folks are simply hedging real-world transactions rather than speculating so their activity is far less revealing and far more noisy.
You can find the data online for free and download it directly here.

Raw format is kinda hard to work with

However, many websites will chart this for you free of charge and you may find it more convenient to look at it that way. Just google “CFTC positioning charts”.

But you can easily get visualisations
You can visually spot extreme positioning. It is extremely powerful.
Bear in mind the reports come out Friday afternoon US time and the report is a snapshot up to the prior Tuesday. That means it is a lagged report - by the time it is released it is a few days out of date. For longer term trades where you hold positions for weeks this is of course still pretty helpful information.
As well as the absolute level (is the speculative market net long or short) you can also use this to pick up on changes in positioning.
For example if bad news comes out how much does the net short increase? If good news comes out, the market may remain net short but how much did they buy back?
A lot of traders ask themselves “Does the market have this trade on?” The positioning data is a good method for answering this. It provides a good finger on the pulse of the wider market sentiment and activity.
For example you might say: “There was lots of noise about the good employment numbers in the US. However, there wasn’t actually a lot of position change on the back of it. Maybe everyone who wants to buy already has. What would happen now if bad news came out?”
In general traders will be wary of entering a crowded position because it will be hard to attract additional buyers or sellers and there could be an aggressive exit.
If you want to enter a trade that is showing extreme levels of positioning you must think carefully about this dynamic.

Bet correlation

Retail traders often drastically underestimate how correlated their bets are.
Through bitter experience, I have learned that a mistake in position correlation is the root of some of the most serious problems in trading. If you have eight highly correlated positions, then you are really trading one position that is eight times as large.
Bruce Kovner of hedge fund, Caxton Associates
For example, if you are trading a bunch of pairs against the USD you will end up with a simply huge USD exposure. A single USD-trigger can ruin all your bets. Your ideal scenario — and it isn’t always possible — would be to have a highly diversified portfolio of bets that do not move in tandem.
Look at this chart. Inverted USD index (DXY) is green. AUDUSD is orange. EURUSD is blue.

Chart from TradingView
So the whole thing is just one big USD trade! If you are long AUDUSD, long EURUSD, and short DXY you have three anti USD bets that are all likely to work or fail together.
The more diversified your portfolio of bets are, the more risk you can take on each.
There’s a really good video, explaining the benefits of diversification from Ray Dalio.
A systematic fund with access to an investable universe of 10,000 instruments has more opportunity to make a better risk-adjusted return than a trader who only focuses on three symbols. Diversification really is the closest thing to a free lunch in finance.
But let’s be pragmatic and realistic. Human retail traders don’t have capacity to run even one hundred bets at a time. More realistic would be an average of 2-3 trades on simultaneously. So what can be done?
For example:
  • You might diversify across time horizons by having a mix of short-term and long-term trades.
  • You might diversify across asset classes - trading some FX but also crypto and equities.
  • You might diversify your trade generation approach so you are not relying on the same indicators or drivers on each trade.
  • You might diversify your exposure to the market regime by having some trades that assume a trend will continue (momentum) and some that assume we will be range-bound (carry).
And so on. Basically you want to scan your portfolio of trades and make sure you are not putting all your eggs in one basket. If some trades underperform others will perform - assuming the bets are not correlated - and that way you can ensure your overall portfolio takes less risk per unit of return.
The key thing is to start thinking about a portfolio of bets and what each new trade offers to your existing portfolio of risk. Will it diversify or amplify a current exposure?

Crap trades, timeouts and monthly limits

One common mistake is to get bored and restless and put on crap trades. This just means trades in which you have low conviction.
It is perfectly fine not to trade. If you feel like you do not understand the market at a particular point, simply choose not to trade.
Flat is a position.
Do not waste your bullets on rubbish trades. Only enter a trade when you have carefully considered it from all angles and feel good about the risk. This will make it far easier to hold onto the trade if it moves against you at any point. You actually believe in it.
Equally, you need to set monthly limits. A standard limit might be a 10% account balance stop per month. At that point you close all your positions immediately and stop trading till next month.

Be strict with yourself and walk away
Let’s assume you started the year with $100k and made 5% in January so enter Feb with $105k balance. Your stop is therefore 10% of $105k or $10.5k . If your account balance dips to $94.5k ($105k-$10.5k) then you stop yourself out and don’t resume trading till March the first.
Having monthly calendar breaks is nice for another reason. Say you made a load of money in January. You don’t want to start February feeling you are up 5% or it is too tempting to avoid trading all month and protect the existing win. Each month and each year should feel like a clean slate and an independent period.
Everyone has trading slumps. It is perfectly normal. It will definitely happen to you at some stage. The trick is to take a break and refocus. Conserve your capital by not trading a lot whilst you are on a losing streak. This period will be much harder for you emotionally and you’ll end up making suboptimal decisions. An enforced break will help you see the bigger picture.
Put in place a process before you start trading and then it’ll be easy to follow and will feel much less emotional. Remember: the market doesn’t care if you win or lose, it is nothing personal.
When your head has cooled and you feel calm you return the next month and begin the task of building back your account balance.

That's a wrap on risk management

Thanks for taking time to read this three-part chapter on risk management. I hope you enjoyed it. Do comment in the replies if you have any questions or feedback.
Remember: the most important part of trading is not making money. It is not losing money. Always start with that principle. I hope these three notes have provided some food for thought on how you might approach risk management and are of practical use to you when trading. Avoiding mistakes is not a sexy tagline but it is an effective and reliable way to improve results.
Next up I will be writing about an exciting topic I think many traders should look at rather differently: news trading. Please follow on here to receive notifications and the broad outline is below.
News Trading Part I
  • Introduction
  • Why use the economic calendar
  • Reading the economic calendar
  • Knowing what's priced in
  • Surveys
  • Interest rates
  • First order thinking vs second order thinking
News Trading Part II
  • Preparing for quantitative and qualitative releases
  • Data surprise index
  • Using recent events to predict future reactions
  • Buy the rumour, sell the fact
  • The mysterious 'position trim' effect
  • Reversals
  • Some key FX releases
***

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]

Portfolio size.

Hi guys,
I have started studying forex trading for a week now spending 4+ hours a day to consume as much knowledge as possible and I already started with a demo account and have 4:2 win loss ratio.
I came really fast to the conclusion that portfolio size is the key to create an actual living out of forex and I see many youtube vids where traders claim that they double their portfolio every week and sell a course on that which seems to me logic wise close to impossible. ( I might be wrong)
My question is, what is reallisticly possible to achieve with a portfolio size of 5k to begin with? After many threads and forums I realized that gaing 10% on a trade is high. It feels for me very unclear what genuinely is achievable on the long run (6 months +) with a 5k portfolio assuming that I have 60-70% success rate of making profitable trades.
Thank you.
submitted by mentixetzio to Forex [link] [comments]

THROW YOUR FD's in FDS

Factset: How You can Invest in Hedge Funds’ Biggest Investment
Tl;dr FactSet is the most undervalued widespread SaaS/IT solution stock that exists
If any of you have relevant experience or are friends with people in Investment Banking/other high finance, you know that Factset is the lifeblood of their financial analysis toolkit if and when it’s not Bloomberg, which isn’t even publicly traded. Factset has been around since 1978 and it’s considered a staple like Bloomberg in many wealth management firms, and it offers some of the easiest to access and understandable financial data so many newer firms focused less on trading are switching to Factset because it has a lot of the same data Bloomberg offers for half the cost. When it comes to modern financial data, Factset outcompetes Reuters and arguably Bloomberg as well due to their API services which makes Factset much more preferable for quantitative divisions of banks/hedge funds as API integration with Python/R is the most important factor for vast data lakes of financial data, this suggests Factset will be much more prepared for programming making its way into traditional finance fields. According to Factset, their mission for data delivery is to: “Integrate the data you need with your applications, web portals, and statistical packages. Whether you need market, company, or alternative data, FactSet flexible data delivery services give you normalized data through APIs and a direct delivery of local copies of standard data feeds. Our unique symbology links and aggregates a variety of content sources to ensure consistency, transparency, and data integrity across your business. Build financial models and power customized applications with FactSet APIs in our developer portal”. Their technical focus for their data delivery system alone should make it stand out compared to Bloomberg, whose UI is far more outdated and complex on top of not being as technically developed as Factset’s. Factset is the key provider of buy-side portfolio analysis for IBs, Hedge funds, and Private Equity firms, and it’s making its way into non-quantitative hedge funds as well because quantitative portfolio management makes automation of risk management and the application of portfolio theory so much easier, and to top it off, Factset’s scenario analysis and simulation is unique in its class. Factset also is able to automate trades based on individual manager risk tolerance and ML optimization for Forex trading as well. Not only does Factset provide solutions for financial companies, they are branching out to all corporations now and providing quantitative analytics for them in the areas of “corporate development, M&A, strategy, treasury, financial planning and analysis, and investor relations workflows”. Factset will eventually in my opinion reach out to Insurance Risk Management a lot more in the future as that’s a huge industry which has yet to see much automation of risk management yet, and with the field wide open, Factset will be the first to take advantage without a shadow of a doubt. So let’s dig into the company’s financials now:
Their latest 8k filing reported the following:
Revenue increased 2.6%, or $9.6 million, to $374.1 million compared with $364.5 million for the same period in fiscal 2019. The increase is primarily due to higher sales of analytics, content and technology solutions (CTS) and wealth management solutions.
Annual Subscription Value (ASV) plus professional services was $1.52 billion at May 31, 2020, compared with $1.45 billion at May 31, 2019. The organic growth rate, which excludes the effects of acquisitions, dispositions, and foreign currency movements, was 5.0%. The primary contributors to this growth rate were higher sales in FactSet's wealth and research workflow solutions and a price increase in the Company's international region
Adjusted operating margin improved to 35.5% compared with 34.0% in the prior year period primarily as a result of reduced employee-related operating expenses due to the coronavirus pandemic.
Diluted earnings per share (EPS) increased 11.0% to $2.63 compared with $2.37 for the same period in fiscal 2019.
Adjusted diluted EPS rose 9.2% to $2.86 compared with $2.62 in the prior year period primarily driven by an improvement in operating results.
The Company’s effective tax rate for the third quarter decreased to 15.0% compared with 18.6% a year ago, primarily due to an income tax expense in the prior year related to finalizing the Company's tax returns with no similar event for the three months ended May 31, 2020.
FactSet increased its quarterly dividend by $0.05 per share or 7% to $0.77 marking the fifteenth consecutive year the Company has increased dividends, highlighting its continued commitment to returning value to shareholders.
As you can see, there’s not much of a negative sign in sight here.
It makes sense considering how FactSet’s FCF has never slowed down:
https://preview.redd.it/frmtdk8e9hk51.png?width=276&format=png&auto=webp&s=1c0ff12539e0b2f9dbfda13d0565c5ce2b6f8f1a

https://preview.redd.it/6axdb6lh9hk51.png?width=593&format=png&auto=webp&s=9af1673272a5a2d8df28f60f4707e948a00e5ff1
FactSet’s annual subscriptions and professional services have made its way to foreign and developing markets, and many of them are opting for FactSet’s cheaper services to reduce costs and still get copious amounts of data and models to work with.
Here’s what FactSet had to say regarding its competitive position within the market of providing financial data in its last 10k: “Despite competing products and services, we enjoy high barriers to entry and believe it would be difficult for another vendor to quickly replicate the extensive databases we currently offer. Through our in-depth analytics and client service, we believe we can offer clients a more comprehensive solution with one of the broadest sets of functionalities, through a desktop or mobile user interface or through a standardized or bespoke data feed.” And FactSet is confident that their ML services cannot be replaced by anybody else in the industry either: “In addition, our applications, including our client support and service offerings, are entrenched in the workflow of many financial professionals given the downloading functions and portfolio analysis/screening capabilities offered. We are entrusted with significant amounts of our clients' own proprietary data, including portfolio holdings. As a result, our products have become central to our clients’ investment analysis and decision-making.” (https://last10k.com/sec-filings/fds#link_fullReport), if you read the full report and compare it to the most recent 8K, you’ll find that the real expenses this quarter were far lower than expected by the last 10k as there was a lower than expected tax rate and a 3% increase in expected operating margin from the expected figure as well. The company also reports a 90% customer retention rate over 15 years, so you know that they’re not lying when they say the clients need them for all sorts of financial data whether it’s for M&A or wealth management and Equity analysis:
https://www.investopedia.com/terms/f/factset.asp
https://preview.redd.it/yo71y6qj9hk51.png?width=355&format=png&auto=webp&s=a9414bdaa03c06114ca052304a26fae2773c3e45

FactSet also has remarkably good cash conversion considering it’s a subscription based company, a company structure which usually takes on too much leverage. Speaking of leverage, FDS had taken on a lot of leverage in 2015:

https://preview.redd.it/oxaa1wel9hk51.png?width=443&format=png&auto=webp&s=13d60d2518980360c403364f7150392ab83d07d7
So what’s that about? Why were FactSet’s long term debts at 0 and all of a sudden why’d the spike up? Well usually for a company that’s non-cyclical and has a well-established product (like FactSet) leverage can actually be good at amplifying returns, so FDS used this to their advantage and this was able to help the share’s price during 2015. Also, as you can see debt/ebitda is beginning a rapid decline anyway. This only adds to my theory that FactSet is trying to expand into new playing fields. FactSet obviously didn’t need the leverage to cover their normal costs, because they have always had consistently growing margins and revenue so the debt financing was only for the sake of financing growth. And this debt can be considered covered and paid off, considering the net income growth of 32% between 2018 and 2019 alone and the EPS growth of 33%
https://preview.redd.it/e4trju3p9hk51.png?width=387&format=png&auto=webp&s=6f6bee15f836c47e73121054ec60459f147d353e

EBITDA has virtually been exponential for FactSet for a while because of the bang-for-buck for their well-known product, but now as FactSet ventures into algorithmic trading and corporate development the scope for growth is broadly expanded.
https://preview.redd.it/yl7f58tr9hk51.png?width=489&format=png&auto=webp&s=68906b9ecbcf6d886393c4ff40f81bdecab9e9fd

P/E has declined in the past 2 years, making it a great time to buy.

https://preview.redd.it/4mqw3t4t9hk51.png?width=445&format=png&auto=webp&s=e8d719f4913883b044c4150f11b8732e14797b6d
Increasing ROE despite lowering of leverage post 2016
https://preview.redd.it/lt34avzu9hk51.png?width=441&format=png&auto=webp&s=f3742ed87cd1c2ccb7a3d3ee71ae8c7007313b2b

Mountains of cash have been piling up in the coffers increasing chances of increased dividends for shareholders (imo dividend is too low right now, but increasing it will tempt more investors into it), and on top of that in the last 10k a large buyback expansion program was implemented for $210m worth of shares, which shows how confident they are in the company itself.
https://preview.redd.it/fliirmpx9hk51.png?width=370&format=png&auto=webp&s=1216eddeadb4f84c8f4f48692a2f962ba2f1e848

SGA expense/Gross profit has been declining despite expansion of offices
I’m a bit concerned about the skin in the game leadership has in this company, since very few executives/board members have significant holdings in the company, but the CEO himself is a FactSet veteran, and knows his way around the company. On top of that, Bloomberg remains king for trading and the fixed income security market, and Reuters beats out FactSet here as well. If FactSet really wants to increase cash flow sources, the expansion into insurance and corp dev has to be successful.
Summary: FactSet has a lot of growth still left in its industry which is already fast-growing in and of itself, and it only has more potential at its current valuation. Earnings September 24th should be a massive beat due to investment banking demand and growth plus Hedge fund requirements for data and portfolio management hasn’t gone anywhere and has likely increased due to more market opportunities to buy-in.
Calls have shitty greeks, but if you're ballsy October 450s LOL, I'm holding shares
I’d say it’s a great long term investment, and it should at least be on your watchlist.
submitted by WannabeStonks69 to wallstreetbets [link] [comments]

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