How To Trade The ‘Higher High Failure ... - Forex Academy

PaperTrading

Subreddit under new ownership. Paper Trading Bot in Development. Expect updates soon.
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@AlphaexCapital : GBPUSD extends higher but runs into recent highs on hourly chart https://t.co/kbafPeg5IS #forex #investing #bitcoin #crypto #xrp #btc #eth #forexsignals

submitted by AlphaexCapital to AlphaexCapital [link] [comments]

@AlphaexCapital : The USDCHF is higher this week. New highs reached for the week. It's a "W" https://t.co/m6rPYft2AK #forex #investing #bitcoin #crypto #xrp #btc #eth #forexsignals

submitted by AlphaexCapital to AlphaexCapital [link] [comments]

@AlphaexCapital : And they're off.... US stocks higher but off pre-market highs https://t.co/8KQGmWO7Fx #forex #investing #bitcoin #crypto #xrp #btc #eth #forexsignals

submitted by AlphaexCapital to AlphaexCapital [link] [comments]

@AlphaexCapital : EURUSD trades to a new sesson low after the run higher stalls ahead of Oct. high. https://t.co/z3ubPdUdXc #forex #investing #bitcoin #crypto #xrp #btc #eth #forexsignals

submitted by AlphaexCapital to AlphaexCapital [link] [comments]

@AlphaexCapital : USD moving higher. New day highs for the greenback being made https://t.co/LjPUfdTMoR #forex #investing #bitcoin #crypto #xrp #btc #eth #forexsignals

submitted by AlphaexCapital to AlphaexCapital [link] [comments]

@AlphaexCapital : The NZDUSD backs off after run higher slows ahead of September swing highs https://t.co/QYPds84Cc7 #forex #forextrading #investing

submitted by AlphaexCapital to AlphaexCapital [link] [comments]

@AlphaexCapital : US stocks close higher but off session highs https://t.co/puTq585ElJ #forex #forextrading #investing

submitted by AlphaexCapital to AlphaexCapital [link] [comments]

@AlphaexCapital : EUR/USD hits fresh two-week high as push higher continues https://t.co/lT8xnEwyBl #forex #forextrading #investing

submitted by AlphaexCapital to AlphaexCapital [link] [comments]

Forex - Dollar Hovering Near 2-Week Highs, Sterling Edges Higher

Forex - Dollar Hovering Near 2-Week Highs, Sterling Edges Higher submitted by Gdog1243 to aboutForex [link] [comments]

@AlphaexCapital : USD/JPY climbs to session highs alongside move higher in bond yields https://t.co/EmyPLde0HV #forex #forextrading #investing

submitted by AlphaexCapital to AlphaexCapital [link] [comments]

@AlphaexCapital : US dollar is moving higher. Trades at new day highs vs most major currencies https://t.co/b9KGo7KNFH #forex #forextrading #investing

submitted by AlphaexCapital to AlphaexCapital [link] [comments]

[LiveSquawk] RT @ForexLive: GBPUSD trades to day highs. Continues run higher, but tests trend line #GBPUSD #forex https://t.co/pikPyUoYTu https://t.co/j…

[LiveSquawk] RT @ForexLive: GBPUSD trades to day highs. Continues run higher, but tests trend line #GBPUSD #forex https://t.co/pikPyUoYTu https://t.co/j… submitted by jeff98379 to newstweetfeed [link] [comments]

Spread in Gold vs Spread in Forex pairs...

So, let's say the spread was 50 pips for Gold and 1.2 pips for EURUSD. Doesn't this make it much easier to "win" consistently long-term on Forex than on Gold since the spread is so much lower?
If I'm not wrong, on Gold it means that if I wanted to enter at a price of say 1850.750, after spread the real entry would be 1850.250, can someone correct me if I'm wrong?
submitted by jakhsit to Forex [link] [comments]

How reliable are currency exchange rate forecasts? ie. from Big 4 or random websites? Specifically for AUD/USD for next 12-18 months? Newbie so any advice, suggestions would be nice

Would these forecasts by NAB be reliable at all?
I know a decent amount about stocks, investing and finance but just needed to educate myself or learn about currency exchange at all, so any suggestions would be awesome about good forecasting websites, if forecasts are bullshit, how reliable forecasts are etc.
submitted by hughemi to AusFinance [link] [comments]

FOREX COMPLICATIONS

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

Finally making progress

Finally making progress submitted by FritzMurphy to Forex [link] [comments]

Good percent trailing stop?

Hey all, I’m new to forex trading, developed a nice method in trying with a paper account, using thinkorswim because I enjoy all the indicators. Anyways the question is simple. What’s a good percent trailstop? I can place an order that tracks trailstop based on percent, which seems to make more sense since every pair will have different “sizes” so it makes sense that finding an ideal trailing stop for my method should be useable in % right? Anyways any ideas for more of a swing trading strategy? I typically am trading on the 1h to 4h range. If I get into a good position I’ll just let it run overnight etc. my strat is a trend strat so it works out quite well, just trying to focus in on the ideal numbers now, and setting an ideal trail stop. Anyone have a similar strat and what percent trail stop do you use?
submitted by explodingwombat 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]

Am I barking up the wrong tree again?

Long story short, I've been learning forex for the past 6 years on and off, searching for the holy grail of indicator combinations and only just realised they don't work. Mostly because of a youtube video I stumbled on by accident.
So is this a method of trading with higher probability of success?
Only focusing on 2 pairs I like for now....
I go to the D1 charts and plot lines around areas where price has reversed in the long run repeatedly back in time. Then I draw some boxes around these lines as areas of interest. Then as price reaches those boxes I scan down the timeframes to the H1 charts to see if price is slowing in momentum. If it is, I'll check a M15 chart to see if price is about to reverse or continue using candle stick patterns and wait for a retest of the area before taking a trade accordingly with a 1:3 RR minimum, trailing SL behind swings high or low.
Here's an example of my D1 chart - https://www.tradingview.com/x/Ei8jT88G
Would anyone be willing to be a mentor to me? I'm determined to get this right this time.
submitted by I_BA1LEY_I to Forex [link] [comments]

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

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

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

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

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

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

Major Indices for this past week:

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

Major Futures Markets as of Friday's close:

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

Economic Calendar for the Week Ahead:

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

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

(CLICK HERE FOR THE CHART!)

S&P Sectors for the Past Week:

(CLICK HERE FOR THE CHART!)

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

(CLICK HERE FOR THE CHART!

Major Indices Rally Levels as of Friday's close:

(CLICK HERE FOR THE CHART!)

Most Anticipated Earnings Releases for this week:

(CLICK HERE FOR THE CHART!)

Here are the upcoming IPO's for this week:

(CLICK HERE FOR THE CHART!)

Friday's Stock Analyst Upgrades & Downgrades:

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

Election Charts You Need To See: Part 1

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

Active Managers Do an About Face

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

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

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

5 Lessons Learned About Rising Rates

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

Best and Worst Performing Stocks Since the 9/2 High

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

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

As of yesterday’s close the market was down more than the historical average performance in September. DJIA was down nearly -3.3%, S&P 500 was down -4.8%, NASDAQ was off 7.9%, Russell 1000 was down -5.2% and Russell 2000 lost 3.7%. Today’s rally looks like the beginning of a textbook mid-month recovery rally However, the second half of September has historically been weaker than the first half. The week after options expiration week can be treacherous with S&P 500 logging 23 weekly losses in 30 years since 1990. End-of-quarter portfolio restructuring, and window dressing can amplify the impacts of any negative headlines.
(CLICK HERE FOR THE CHART!)
(CLICK HERE FOR NEXT WEEK'S MOST NOTABLE EARNINGS RELEASES!)
(CLICK HERE FOR NEXT WEEK'S HIGHEST VOLATILITY EARNINGS RELEASES!)
Below are some of the notable companies coming out with earnings releases this upcoming trading week ahead which includes the date/time of release & consensus estimates courtesy of Earnings Whispers:

Monday 9.14.20 Before Market Open:

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

Monday 9.14.20 After Market Close:

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

Tuesday 9.15.20 Before Market Open:

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

Tuesday 9.15.20 After Market Close:

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

Wednesday 9.16.20 Before Market Open:

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

Wednesday 9.16.20 After Market Close:

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

Thursday 9.17.20 Before Market Open:

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

Thursday 9.17.20 After Market Close:

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

Friday 9.18.20 Before Market Open:

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

Friday 9.18.20 After Market Close:

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

FedEx Corp. $232.79

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

(CLICK HERE FOR THE CHART!)

Adobe Inc. $471.35

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

(CLICK HERE FOR THE CHART!)

Cracker Barrel Old Country Store, Inc. $136.79

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

(CLICK HERE FOR THE CHART!)

Aspen Group, Inc. $11.54

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

(CLICK HERE FOR THE CHART!)

Lennar Corp. $77.48

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

(CLICK HERE FOR THE CHART!)

Endava $53.03

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

(CLICK HERE FOR THE CHART!)

Brady Corp. $45.34

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

(CLICK HERE FOR THE CHART!)

Cantel Medical Corp. $49.12

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

(CLICK HERE FOR THE CHART!)

IsoRay Inc $0.63

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

(CLICK HERE FOR THE CHART!)

Apogee Enterprises, Inc. $19.49

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

(CLICK HERE FOR THE CHART!)

DISCUSS!

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

Former investment bank FX trader: some thoughts

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

Why it matters

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

Capital and position sizing

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

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

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

Kelly Criterion

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

How to use stop losses sensibly

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

Picking a clear level

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

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

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

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

Coming up in part II

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

Coming up in part III

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

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

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

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

Higher Low Lower High Trading Strategy Part 1 - YouTube What is High Frequency Forex ( HFX ) - YouTube Basics - Module 5: Higher Highs and Lower Lows - YouTube Basics of Trading High Frequency Forex - YouTube HIGHER HIGH LOWER LOW TEKNIK What are Higher Highs and Higher Lows - YouTube Swing Highs and Lows Forex - YouTube Identifying Lower High and Higher low trading patterns ...

The forex high and low strategy is based on the concept that if the price of a currency pair moves past the previous day’s high or low, then the market will continue in that direction of breakout. Note that with this strategy, the time period of consideration is one day. Therefore, this strategy can do well for day traders who close out all their positions in the forex market before the end ... Even with the best of strategies, Lower High and Higher Low almost always translate to your High Risk retail order, very rarely will you hit the ding, while the computer is programmed to always move away from your order to a rock bottom Lower Low or climactic peak Higher High some 10 to even 100 plus points from your order line using an enormous wholesale hedge cushion where the insiders feast ... The Higher Highs & Lower Lows is a momentum indicator–based system that helps determine the direction of a trend. This HHLLS indicator can be used to spot emerging trends, define correction periods and anticipate reversals. Signals can also be generated by looking for divergences and crossovers. Because the HHS & LLS indicator is range-bound, it can also be used to identify overbought and ... Trading the Higher High Failure Strategy. Consider the below chart of Euro / US Dollar on the 1H time frame. We can see that the market is in an uptrend making higher highs and higher lows. The most recent higher high made by the market was 1.11834. The market then retraced to 1.1098, tried to make a new high from the previous one, but failed ... Instead of slicing the chart into sections, use something like Tom Demark supply and demand points, i.e. a high that’s higher than all of the highs X bars either side of it is a local high; vice versa for a low. One problem with using TD supply/demand points is that it’s possible to get two or more local highs without an intervening low, or vice versa; so you would need to compare them and ... FOREX-Higher-risk currencies soar on Biden win, successful COVID19 vaccine . By Olga Cotaga. 4 Min Read * Nokkie, Japanese yen fall by 1.6% vs US dollar * Aussie dollar skyrockets 2.4% vs Japanese ... Benefits of Using the Higher High and Lower Low Indicator MT4. Forex traders have an avalanche of trading tools to choose from. Hence, you may be wondering why you should use this particular trading tool. Well, as a unique indicator for MT4 platform users, the Higher High and Lower Low Indicator MT4 offer the following trading benefits: 1. Flexibility: The indicator wasn’t designed for a ...

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Higher Low Lower High Trading Strategy Part 1 - YouTube

http://iwanttoberichtoday.com. Part 1 of a very simple trading strategy that works. Higher Low Lower High Strategy Part 1 Have new customers and struggling to Help them understand what trading is and how it works? Want something SIMPLE? ‍⚕️ Watch what Dr. Lee and I put togethe... Higher Highs and Lower Lows http://www.financial-spread-betting.com/academy/higher-highs-and-lower-lows.html This is really easy to grasp. When there is a hi... Hey, it's your boy Money Matt and I'm going to be going over what is High-Frequency Forex also known as Binary options. Binary options are financial options ... Identifying lower high and higher low trading patterns, qualify after changes in trend momentum on the MT4 platform. MASTER The High And Low For DAY TRADING The Forex Markets - Duration: 11:40. Stacey Burke Trading 24,082 views Trends are a core concept in the world of technical analysis and can lead to many profitable trading opportunities. Higher highs and higher lows are one way ... Swing highs and lows Forex trading can be very subjective. This video demonstrates a tool that can identify swings automatically. http://www.topdogtrading.ne...

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