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.
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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.
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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 

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.

As PTI comes onto two years, I felt like making this post on account of seeing multiple people supporting PML-N for having an allegedly better economy for Pakistan, particularly with allegations present that PTI has done nothing for the economy. So here's a short list of some major achievements done by PTI in contrast to PML-N.

• Stopping Pakistan from defaulting: The move to devalue the rupee was one done despite knowing the backlash that would be faced. Under Nawaz Sharif the rupee was artificially overvalued through loans and forex reserves, this meant Pakistan had no sustainable way for repaying those massive loans. Imran Khan on the other hand had to approach the IMF due to these overlaying maturing debts, lack of growth in exports under PMLN, decline in Foreign Direct Investment and an ever higher import bill. This was done at the cost of letting the rupee massively devalue against the dollar, however paved the path for economic stability as noted by the IMF.
• Renewed focus on taxation: Easily the most controversial facet of the economic policy by PTI, but one that has shown merit and results. Overall, there has been a 40% increase in returns filers and a 17% revenue increase. This coupled with a massive austerity scheme, meant that the government has started an incline towards increasing it's revenues. While this hasn't been met with open arms, it presents a solution to the everpresent crisis that the Pakistan government has faced, in it's inability to increase it's revenues. Not only that, but the general taxation system was streamlined, making it easier for individuals to file taxes. Introductions of new apps and consolidating activities for the FBR were among the efforts as well. Moreover, businesses that were entitled to tax refunds are finally being granted them, under PMLN they were held onto so as to inflate collection numbers, however under PTI that has changed and it's not inflated. It is worth noting, that because of the covid-19 pandemic, the effect of the austerity schemes and feasibility have seriously dampened, and it's created a bigger problem for increasing revenue collection.
  • However it is one that can be solved. The government succeeded, quite commendably, in revising the tax collection revenue which had been set unrealistically high by the IMF. What can also be recognised, were the 60% cuts in the Presidential house. Alongside a 58% decrease in Presidential secretariat for allowances for officers and staff, not to forget the decision to not increase government salaries for this fiscal year nor introduce new taxes. A bold but needed decision.
• The account deficit: Arguably one of the biggest examples of progress has been in the reduction of the account deficit. Under PML-N the account deficit had carried forward, and increased to nearly $5 billion, but shrunk massively once PTI came into power. A total decrease of nearly 78% from the previous fiscal year. The lowest recorded from the previous 5 years. Even when looked at from the perspective of the account deficit in percentage of GDP; the general trend has been improving under PTI. Under PMLN the total account deficit as a % of GDP had grown to -5.4%, however under PTI it has shrunk to -1.1% of GDP in FY2020 and was -3.4% in 2019.
  • It is worth noting, that some may criticise the overall decrease in the account deficit to be a result of the decrease in imports, and the increase in worker remittances, however this was indeed a result of the overall economic impact from the covid-19 pandemic. And that general trends support the notion of exports increasing and the account deficit decreasing in the second quarter of 2019.
• Revitalisation of exports & balance of trade: The shift in policies towards increasing exports has been among the most vital, the growing negative balance of trade under PML-N finally stabilised under PTI. Although the recent spikes can be attributed to the global drop in imports because of covid-19, and the overall curtailing of imported goods. The export rates in Pakistan have shown a massive growth as well; going from negative growth to spontaneous positive growth. Nearly doubling in total export value, going from -5% growth in 2015 to +10% growth in 2019. Which are massive, and much-needed improvements. World bank data shows the rapid decline of Pakistani exports which occurred, as a % of GDP, which went from 13% in 2013 when PML-N came into power, to 8% in 2017 — a near 40% decrease in total exports from 2013-2017. To which we now once again notice the growth where the exports as % of GDP have increased to 10% in 2019 from 8% in 2017; recording an overall positive growth of 10%. These things all in all prove the export based benefits PTI has managed to bring in it's tenure, which sadly have seen a halt due to the effects of covid-19, yet the situation remains hopeful in the recovery. Especially given Pakistan is recording a trade surplus with Italy and other such examples.
• Ease of Business: One thing that cannot be sidelined is the massive improval in the ease of business. While under PMLN, Pakistan massively decreased in it's EoB Iease of business) ranking, going from 110 to 136 to so on. Once Imran Khan came into power, Pakistan climbed the Ease of Business ranking, with a massive improvement of upto 28 spots. A huge increase over PMLN, where it had fallen by a total of 36 positions. For perspective. Currently Pakistan stands at 108th, as a result of easing tax collection, reducing corporate tax, introducing online one-stop shops which made the process of starting businesses considerably easier, and the overall ease in paying taxes through online processes.
• Tourism: The reforms and measures taken to facilitate tourism in Pakistan were evidently among the most successful — Pakistan went from being sidelined to being amongst the worlds top destinations to visit. There were multiple reasons for this, the removal of the mandatory NOC, the initiative for online visas for upto 175 countries alongside visa-on-arrival for 50 countries were among the facilitating measures taken for tourism.
• Foreign Direct Investment: What can be appreciated is the general reception of Pakistan's economic outlook, where FDI climbed by upto 137% within this fiscal year, gathering upto nearly $2.1 billion. Yet, once again — the pandemic will undoubtedly cause most countries to rethink their economic policies for now, and the overall FDI might see a downward trend with regards to global decrease in FDI. Despite, the increases in FDI are welcomed, especially considering total foreign investment rose 380 percent to $2.375 billion in July-March FY2020. Yet the sustainability of this remains to be seen.
• Dealing with covid: Despite all odds, Pakistan has somehow managed to deal well with the pandemic. Coming out relatively alright, in perspective of countries such as India, Mexico, Italy, Brazil etc. The factor that plays out, is that despite being incredibly vulnerable, the country managed to pull through and has markedly reduced the impact of the virus. With regards to the economy, taking a bold risk of abating a complete lockdown, whilst met with criticism was once again a factor that showed competency. Keeping in mind that 51 million Pakistanis lived below the poverty line, and the adverse effect it would have on the economy. Pakistan managed to come through the economic contraction with only a -0.38% growth. Although the full effects are still not abated or understood, what's commendable is the fact that Pakistan under PTI has kept itself from an even worse situation. Whilst managing to keep covid under relative control. Especially given increases in exports despite the pandemic in countries such as Qatar, Saudi Arabia, and Italy.

This is by no means a highly comprehensive list, just my opinion on some of the bigger achievements; saving the economy from defaulting, adopting tax reforms, tourism reforms, export reforms among them whilst managing covid and economic stability with relative success.
There are of course a multitude of other factors, successfully avoiding a blacklist from the FATF, macroeconomic reforms, attempts to strengthen the working class; ehsaas programs, Naya Pakistan housing schemes alongside other relief efforts. These are measures in accordance with curtailing the effect of increasing taxation and attempts to abate the economic slowdown that came as a result of forcing an increase in government revenue. Alongside the focus on multiple new hydroelectric dams, industrial cities, reduction of the PM office staff from 552 to 298, 10 billion tree project and an overall renewed interest in renewable energy and green Pakistan. The list is comprehensive.
Pakistan remains on a rocky path, it is not out of the woods yet. Covid-19 has seriously hampered the overall projections, and caused a worldwide economic contraction. Not only that, but there are criticisms that can be attributed to the government as well, as they are not without fault. However, the overall achievements of the government with regards to the economy do present hope for the long-term fiscal policy and development of Pakistan.

When I first started trading, I used to add all indicators on my chart. MACD, RSI, super trend, ATR, ichimoku cloud, Bollinger Bands, everything!
My chart was pretty messy. I understood nothing and my analysis was pretty much just a gamble.
Nothing worked.
DISCLOSURE- I've written this article on another sub reddit, if you've already read it, you make skip this one and come back tomorrow.
Then I learned price action trading. And things started to change. It seemed difficult and unreliable at first.
There's a saying in my country. "Bhav Bhagwan Che" it means "Price Is GOD".
That holds true in the market.
Amos Every indicator you see is based on price. RSI uses open/close price and so does moving average. MACD uses price.
Price is what matters the most.
Everything depends on the price, and then the indicators send a signal.
Price Action trading is trading based on Candlestick patterns and support and resistance. You don't use any indicators (SMA sometimes), use plot trend lines and support and resistance zones, maybe Fibs or Pivot points.
It is not 100% successful, but the win rate is quite high if you know how to analyse it correctly.
How To Learn Price Action Trading?
YouTube channels- 1. Trading with Rayner Teo. 2. Adam Khoo. 3. The Chart Guys. 4. The Trading Channel (and some other channels including regional ones).
Books- 1. Technical Analysis Explained. 2. The trader's book of volume. 3. Trading price action trends. 4. Trading price action reversals. 5. Trading price actions ranges. 6. Naked forex. 7. Technical analysis of the financial markets.
I think this is enough information to help you get started.
Price Action trading includes a few parts.

1. Candlestick patterns You'll have to be able to spot a bullish engulfing or a bearish engulfing pattern. Or a doji or a morning star.
   
2. Chart Patterns. The flag, wedge, channels or triangles. These are often quite helpful in chart analysis without using indicators.
   
3. Support or Resistance. I've seen people draw 15 lines of support and resistance, this just makes your chart messy and you don't know where the price will take a support.
   

You can also you the demand and supply zone concept if you're more comfortable with that.

1. Volume. There's a quote "Boule precedes price". Volume analysis is a bit hard, but it's totally worth learning. Divergence is also a great concept.
   
2. Multiple time frames. To confirm a trend or find the long term support or resistance, you can use a higher time frame. Plus, it is more reliable and divergence is way stronger on it.
   

You can conclude everything to make a powerful system. Like if there's a divergence (price up volume down) and there's a major resistance on some upper level and a double top is formed,
That's a very reliable strategy to go short. Combinations of various systems work very good imo.
Does this mean that indicators are useless?
No, I use moving averages and RSI quite frequently. Using price action and confirming it through indicators gives me a higher win rate.
"Bhav Bhagwan Che".
-Vikrant C.

One of the good things about trading is that everybody can have their own unique style. albeit two different trading styles conflict, it doesn’t mean that one strategy is true and one is wrong.
With thousands upon thousands of stocks to settle on from, there’s always an abundance of effective ways to trade.
Technical analysis is usually lumped together into one specific style, but not all indicators point within the same direction.
We’re all conversant in commonly used technical concepts like support and resistance and moving averages, alongside more refined tools like MACD and RSI.
No single indicator may be a golden goose for trading profits, but when utilized in the right situations, you'll spot opportunities before the bulk of the gang .
One technical trading indicator that tends to fly under the radar is that the Fisher Transform Indicator.
Despite its lack of recognition , the Fisher Transform Indicator may be a useful gizmo to feature to your trading arsenal since it’s fairly easy to read and influence .
What is the Fisher Transform Indicator?
One of the best struggles in marketing research is the way to affect such a lot of random data.
The distribution of stock prices makes it difficult to locate trends and patterns, which is why technical analysis exists within the first place.
Hey, if the trends were easy to identify , everyone would get rich trading stocks and therefore the advantage provided by technical analysis would be whittled away.
But since technical trends are difficult to identify with an untrained eye, we believe trading tools just like the RSI and MACD to form informed decisions.
The Fisher Transform Indicator was developed by John F. Ehlers, who’s authored market books like Rocket Science For Traders.
Visit Equiti Forex
The Fisher Transform Indicator attempts to bring order to chaos by normalizing the distribution of stock prices over various timeframes.
Instead of messy, random prices, the Fisher Transform Indicators puts prices into a Gaussian Gaussian distribution . you would possibly know such a distribution by its more commonly used name – the bell curve.
Bell curves usually want to measure school grades, but during this instance, it’s wont to more neatly smooth prices along a selected timeline.
Think of stock prices like players on a five – if you organize everyone during a pattern by height, you’ll have a way better understanding of the makeup of the team.
So what does the Fisher Transform Indicator look for? Extreme market conditions.
Unlike other trading signals where many false positives are delivered on a day to day , this indicator is meant to pop only during rare market moments.
By utilizing a normal distribution , much of the noise made by stock prices is ironed away.
Despite the complex mathematics, Fisher Transform tends to offer clear overbought and oversold signals since the extremes of the indicator are rarely reached.
How Can Traders Utilize the Fisher Transform Indicator?
One of the advantages of the Fisher Transform Indicator is its role as a number one indicator, not a lagging indicator.
Lagging indicators tend to inform us of information we already know. a number one indicator is best at remarking potential trend reversals before they occur, not as they’re occurring or after the very fact .
There are two main ways to trade the Fisher Transform Indicator – a sign reversal or the reaching of a particular threshold.
For a sign reversal, you’re simply trying to find the indicator to vary course.
If the Fisher Transform indicator had been during a prolonged upswing but suddenly turned down, it might be foreshadowing a trend reversal within the stock price.
On the opposite hand, the Fisher Transform Indicator might be used as a “breach” indicator for identifying trade opportunities that support certain levels.
A signal line often accompanies the Fisher Transform Indicator, which may be wont to spot opportunities in not just stocks, but assets like commodities and forex also .
Examples
Alphabet (NASDAQ: GOOGL)
Google has been one among tech’s best stay-at-home plays during the coronavirus pandemic, but you wouldn’t have thought that back in late March when shares cratered down near the $1000 mark.
A bounce eventually came, but the stock didn’t rebound quickly.
However, the Fisher Transform Indicator provided a playbook for the stock beginning in February.
The extreme boundary was reached around the same time because the market was high, offering a sell signal before the top of the month. because the shares fell, the Fisher Transform Indicator moved right down to the boundary and bottomed before the stock.
Buying when the indicator eclipsed the signal line in mid-April would have allowed you to catch most of the rebound.
Nikola Corporation (NASDAQ: NKLA)
Before becoming marred in controversy, Nikola Corporation was the most well liked stock of summer 2020.
The obscure car maker was toiling within the $10-12 range before exploding higher in June.
And I don’t mean just a fast double or triple up – Nikola reached a high of $93 before the music stopped.
When a stock goes parabolic, one among the toughest things to work out is when to require profits and bail.
Nikola was a cautionary tale since the corporate seemed pretty shady from the beginning , but traders using the Fisher Transform Indicator got a sign that the highest was in before the stock began its quick descent backtrack .
The June high coincided with the Fisher Transform Indicator reaching its highest level since December of 2019, a sign that sounded the alarm for observant traders.

Disclaimer: None of this is financial advice. I have no idea what I'm doing. Please do your own research or you will certainly lose money. I'm not a statistician, data scientist, well-seasoned trader, or anything else that would qualify me to make statements such as the below with any weight behind them. Take them for the incoherent ramblings that they are.
TL;DR at the bottom for those not interested in the details.
This is a bit of a novel, sorry about that. It was mostly for getting my own thoughts organized, but if even one person reads the whole thing I will feel incredibly accomplished.

Background

For those of you not familiar, please see the various threads on this trading system here. I can't take credit for this system, all glory goes to ParallaxFX!
I wanted to see how effective this system was at H1 for a couple of reasons: 1) My current broker is TD Ameritrade - their Forex minimum is a mini lot, and I don't feel comfortable enough yet with the risk to trade mini lots on the higher timeframes(i.e. wider pip swings) that ParallaxFX's system uses, so I wanted to see if I could scale it down. 2) I'm fairly impatient, so I don't like to wait days and days with my capital tied up just to see if a trade is going to win or lose.
This does mean it requires more active attention since you are checking for setups once an hour instead of once a day or every 4-6 hours, but the upside is that you trade more often this way so you end up winning or losing faster and moving onto the next trade. Spread does eat more of the trade this way, but I'll cover this in my data below - it ends up not being a problem.
I looked at data from 6/11 to 7/3 on all pairs with a reasonable spread(pairs listed at bottom above the TL;DR). So this represents about 3-4 weeks' worth of trading. I used mark(mid) price charts. Spreadsheet link is below for anyone that's interested.

System Details

I'm pretty much using ParallaxFX's system textbook, but since there are a few options in his writeups, I'll include all the discretionary points here:

• I'm using the stop entry version - so I wait for the price to trade beyond the confirmation candle(in the direction of my trade) before entering. I don't have any data to support this decision, but I've always preferred this method over retracement-limit entries. Maybe I just like the feeling of a higher winrate even though there can be greater R:R using a limit entry. Variety is the spice of life.
• I put my stop loss right at the opposite edge of the confirmation candle. NOT at the edge of the 2-candle pattern that makes up the system. I'll get into this more below - not enough trades are saved to justify the wider stops. (Wider stop means less $ per pip won, assuming you still only risk 1%).
• All my profit/loss statistics are based on a 1% risk per trade. Because 1 is real easy to multiply.
• There are definitely some questionable trades in here, but I tried to make it as mechanical as possible for evaluation purposes. They do fit the definitions of the system, which is why I included them. You could probably improve the winrate by being more discretionary about your trades by looking at support/resistance or other techniques.
• I didn't use MBB much for either entering trades, or as support/resistance indicators. Again, trying to be pretty mechanical here just for data collection purposes. Plus, we all make bad trading decisions now and then, so let's call it even.
• As stated in the title, this is for H1 only. These results may very well not play out for other time frames - who knows, it may not even work on H1 starting this Monday. Forex is an unpredictable place.
• I collected data to show efficacy of taking profit at three different levels: -61.8%, -100% and -161.8% fib levels described in the system using the passive trade management method(set it and forget it). I'll have more below about moving up stops and taking off portions of a position.

And now for the fun. Results!

• Total Trades: 241
• Raw Winrates:
  • TP at -61.8%: 177 out of 241: 73.44%
  • TP at -100%: 156 out of 241: 64.73%
  • TP at -161.8%: 121 out of 241: 50.20%
• Adjusted Proft % (takes spread into account):
  • TP at -61.8%: 5.22%
  • TP at -100%: 23.55%
  • TP at -161.8%: 29.14%

As you can see, a higher target ended up with higher profit despite a much lower winrate. This is partially just how things work out with profit targets in general, but there's an additional point to consider in our case: the spread. Since we are trading on a lower timeframe, there is less overall price movement and thus the spread takes up a much larger percentage of the trade than it would if you were trading H4, Daily or Weekly charts. You can see exactly how much it accounts for each trade in my spreadsheet if you're interested. TDA does not have the best spreads, so you could probably improve these results with another broker.
EDIT: I grabbed typical spreads from other brokers, and turns out while TDA is pretty competitive on majors, their minors/crosses are awful! IG beats them by 20-40% and Oanda beats them 30-60%! Using IG spreads for calculations increased profits considerably (another 5% on top) and Oanda spreads increased profits massively (another 15%!). Definitely going to be considering another broker than TDA for this strategy. Plus that'll allow me to trade micro-lots, so I can be more granular(and thus accurate) with my position sizing and compounding.

A Note on Spread

As you can see in the data, there were scenarios where the spread was 80% of the overall size of the trade(the size of the confirmation candle that you draw your fibonacci retracements over), which would obviously cut heavily into your profits.
Removing any trades where the spread is more than 50% of the trade width improved profits slightly without removing many trades, but this is almost certainly just coincidence on a small sample size. Going below 40% and even down to 30% starts to cut out a lot of trades for the less-common pairs, but doesn't actually change overall profits at all(~1% either way).
However, digging all the way down to 25% starts to really make some movement. Profit at the -161.8% TP level jumps up to 37.94% if you filter out anything with a spread that is more than 25% of the trade width! And this even keeps the sample size fairly large at 187 total trades.
You can get your profits all the way up to 48.43% at the -161.8% TP level if you filter all the way down to only trades where spread is less than 15% of the trade width, however your sample size gets much smaller at that point(108 trades) so I'm not sure I would trust that as being accurate in the long term.
Overall based on this data, I'm going to only take trades where the spread is less than 25% of the trade width. This may bias my trades more towards the majors, which would mean a lot more correlated trades as well(more on correlation below), but I think it is a reasonable precaution regardless.

Time of Day

Time of day had an interesting effect on trades. In a totally predictable fashion, a vast majority of setups occurred during the London and New York sessions: 5am-12pm Eastern. However, there was one outlier where there were many setups on the 11PM bar - and the winrate was about the same as the big hours in the London session. No idea why this hour in particular - anyone have any insight? That's smack in the middle of the Tokyo/Sydney overlap, not at the open or close of either.
On many of the hour slices I have a feeling I'm just dealing with small number statistics here since I didn't have a lot of data when breaking it down by individual hours. But here it is anyway - for all TP levels, these three things showed up(all in Eastern time):

• 7pm-4am: Fewer setups, but winrate high.
• 5am-6am: Lots of setups, but but winrate low.
• 12pm-3pm Medium number of setups, but winrate low.

I don't have any reason to think these timeframes would maintain this behavior over the long term. They're almost certainly meaningless. EDIT: When you de-dup highly correlated trades, the number of trades in these timeframes really drops, so from this data there is no reason to think these timeframes would be any different than any others in terms of winrate.
That being said, these time frames work out for me pretty well because I typically sleep 12am-7am Eastern time. So I automatically avoid the 5am-6am timeframe, and I'm awake for the majority of this system's setups.

Moving stops up to breakeven

This section goes against everything I know and have ever heard about trade management. Please someone find something wrong with my data. I'd love for someone to check my formulas, but I realize that's a pretty insane time commitment to ask of a bunch of strangers.
Anyways. What I found was that for these trades moving stops up...basically at all...actually reduced the overall profitability.
One of the data points I collected while charting was where the price retraced back to after hitting a certain milestone. i.e. once the price hit the -61.8% profit level, how far back did it retrace before hitting the -100% profit level(if at all)? And same goes for the -100% profit level - how far back did it retrace before hitting the -161.8% profit level(if at all)?
Well, some complex excel formulas later and here's what the results appear to be. Emphasis on appears because I honestly don't believe it. I must have done something wrong here, but I've gone over it a hundred times and I can't find anything out of place.

• Moving SL up to 0% when the price hits -61.8%, TP at -100%
  • Winrate: 46.4%
  • Adjusted Proft % (takes spread into account): 5.36%
• Taking half position off at -61.8%, moving SL up to 0%, TP remaining half at -100%
  • Winrate: 65.97%
  • Adjusted Proft % (takes spread into account): -1.01% (yes, a net loss)

Now, you might think exactly what I did when looking at these numbers: oof, the spread killed us there right? Because even when you move your SL to 0%, you still end up paying the spread, so it's not truly "breakeven". And because we are trading on a lower timeframe, the spread can be pretty hefty right?
Well even when I manually modified the data so that the spread wasn't subtracted(i.e. "Breakeven" was truly +/- 0), things don't look a whole lot better, and still way worse than the passive trade management method of leaving your stops in place and letting it run. And that isn't even a realistic scenario because to adjust out the spread you'd have to move your stoploss inside the candle edge by at least the spread amount, meaning it would almost certainly be triggered more often than in the data I collected(which was purely based on the fib levels and mark price). Regardless, here are the numbers for that scenario:

• Moving SL up to 0% when the price hits -61.8%, TP at -100%
  • Winrate(breakeven doesn't count as a win): 46.4%
  • Adjusted Proft % (takes spread into account): 17.97%
• Taking half position off at -61.8%, moving SL up to 0%, TP remaining half at -100%
  • Winrate(breakeven doesn't count as a win): 65.97%
  • Adjusted Proft % (takes spread into account): 11.60%

From a literal standpoint, what I see behind this behavior is that 44 of the 69 breakeven trades(65%!) ended up being profitable to -100% after retracing deeply(but not to the original SL level), which greatly helped offset the purely losing trades better than the partial profit taken at -61.8%. And 36 went all the way back to -161.8% after a deep retracement without hitting the original SL. Anyone have any insight into this? Is this a problem with just not enough data? It seems like enough trades that a pattern should emerge, but again I'm no expert.
I also briefly looked at moving stops to other lower levels (78.6%, 61.8%, 50%, 38.2%, 23.6%), but that didn't improve things any. No hard data to share as I only took a quick look - and I still might have done something wrong overall.
The data is there to infer other strategies if anyone would like to dig in deep(more explanation on the spreadsheet below). I didn't do other combinations because the formulas got pretty complicated and I had already answered all the questions I was looking to answer.

2-Candle vs Confirmation Candle Stops

Another interesting point is that the original system has the SL level(for stop entries) just at the outer edge of the 2-candle pattern that makes up the system. Out of pure laziness, I set up my stops just based on the confirmation candle. And as it turns out, that is much a much better way to go about it.
Of the 60 purely losing trades, only 9 of them(15%) would go on to be winners with stops on the 2-candle formation. Certainly not enough to justify the extra loss and/or reduced profits you are exposing yourself to in every single other trade by setting a wider SL.
Oddly, in every single scenario where the wider stop did save the trade, it ended up going all the way to the -161.8% profit level. Still, not nearly worth it.

Correlated Trades

As I've said many times now, I'm really not qualified to be doing an analysis like this. This section in particular.
Looking at shared currency among the pairs traded, 74 of the trades are correlated. Quite a large group, but it makes sense considering the sort of moves we're looking for with this system.
This means you are opening yourself up to more risk if you were to trade on every signal since you are technically trading with the same underlying sentiment on each different pair. For example, GBP/USD and AUD/USD moving together almost certainly means it's due to USD moving both pairs, rather than GBP and AUD both moving the same size and direction coincidentally at the same time. So if you were to trade both signals, you would very likely win or lose both trades - meaning you are actually risking double what you'd normally risk(unless you halve both positions which can be a good option, and is discussed in ParallaxFX's posts and in various other places that go over pair correlation. I won't go into detail about those strategies here).
Interestingly though, 17 of those apparently correlated trades ended up with different wins/losses.
Also, looking only at trades that were correlated, winrate is 83%/70%/55% (for the three TP levels).
Does this give some indication that the same signal on multiple pairs means the signal is stronger? That there's some strong underlying sentiment driving it? Or is it just a matter of too small a sample size? The winrate isn't really much higher than the overall winrates, so that makes me doubt it is statistically significant.
One more funny tidbit: EUCAD netted the lowest overall winrate: 30% to even the -61.8% TP level on 10 trades. Seems like that is just a coincidence and not enough data, but dang that's a sucky losing streak.
EDIT: WOW I spent some time removing correlated trades manually and it changed the results quite a bit. Some thoughts on this below the results. These numbers also include the other "What I will trade" filters. I added a new worksheet to my data to show what I ended up picking.

• Total Trades: 75
• Raw Winrates:
  • TP at -61.8%: 84.00%
  • TP at -100%: 73.33%
  • TP at -161.8%: 60.00%
  • Moving SL up to 0% when the price hits -61.8%, TP at -100%: 53.33%
  • Taking half position off at -61.8%, moving SL up to 0%, TP remaining half at -100%: 53.33% (yes, oddly the exact same winrate. but different trades/profits)
• Adjusted Proft % (takes spread into account):
  • TP at -61.8%: 18.13%
  • TP at -100%: 26.20%
  • TP at -161.8%: 34.01%
  • Moving SL up to 0% when the price hits -61.8%, TP at -100%: 19.20%
  • Taking half position off at -61.8%, moving SL up to 0%, TP remaining half at -100%: 17.29%

To do this, I removed correlated trades - typically by choosing those whose spread had a lower % of the trade width since that's objective and something I can see ahead of time. Obviously I'd like to only keep the winning trades, but I won't know that during the trade. This did reduce the overall sample size down to a level that I wouldn't otherwise consider to be big enough, but since the results are generally consistent with the overall dataset, I'm not going to worry about it too much.
I may also use more discretionary methods(support/resistance, quality of indecision/confirmation candles, news/sentiment for the pairs involved, etc) to filter out correlated trades in the future. But as I've said before I'm going for a pretty mechanical system.
This brought the 3 TP levels and even the breakeven strategies much closer together in overall profit. It muted the profit from the high R:R strategies and boosted the profit from the low R:R strategies. This tells me pair correlation was skewing my data quite a bit, so I'm glad I dug in a little deeper. Fortunately my original conclusion to use the -161.8 TP level with static stops is still the winner by a good bit, so it doesn't end up changing my actions.
There were a few times where MANY (6-8) correlated pairs all came up at the same time, so it'd be a crapshoot to an extent. And the data showed this - often then won/lost together, but sometimes they did not. As an arbitrary rule, the more correlations, the more trades I did end up taking(and thus risking). For example if there were 3-5 correlations, I might take the 2 "best" trades given my criteria above. 5+ setups and I might take the best 3 trades, even if the pairs are somewhat correlated.
I have no true data to back this up, but to illustrate using one example: if AUD/JPY, AUD/USD, CAD/JPY, USD/CAD all set up at the same time (as they did, along with a few other pairs on 6/19/20 9:00 AM), can you really say that those are all the same underlying movement? There are correlations between the different correlations, and trying to filter for that seems rough. Although maybe this is a known thing, I'm still pretty green to Forex - someone please enlighten me if so! I might have to look into this more statistically, but it would be pretty complex to analyze quantitatively, so for now I'm going with my gut and just taking a few of the "best" trades out of the handful.
Overall, I'm really glad I went further on this. The boosting of the B/E strategies makes me trust my calculations on those more since they aren't so far from the passive management like they were with the raw data, and that really had me wondering what I did wrong.

What I will trade

Putting all this together, I am going to attempt to trade the following(demo for a bit to make sure I have the hang of it, then for keeps):

• "System Details" I described above.
• TP at -161.8%
• Static SL at opposite side of confirmation candle - I won't move stops up to breakeven.
• Trade only 7am-11am and 4pm-11pm signals.
• Nothing where spread is more than 25% of trade width.

Looking at the data for these rules, test results are:

• Winrate: 58.19%
• Adjusted Proft % (takes spread into account): 47.43%

I'll be sure to let everyone know how it goes!

Other Technical Details

• ATR is only slightly elevated in this date range from historical levels, so this should fairly closely represent reality even after the COVID volatility leaves the scalpers sad and alone.
• The sample size is much too small for anything really meaningful when you slice by hour or pair. I wasn't particularly looking to test a specific pair here - just the system overall as if you were going to trade it on all pairs with a reasonable spread.

Raw Data

Here's the spreadsheet for anyone that'd like it. (EDIT: Updated some of the setups from the last few days that have fully played out now. I also noticed a few typos, but nothing major that would change the overall outcomes. Regardless, I am currently reviewing every trade to ensure they are accurate.UPDATE: Finally all done. Very few corrections, no change to results.)
I have some explanatory notes below to help everyone else understand the spiraled labyrinth of a mind that put the spreadsheet together.

• I'm on the East Coast in the US, so the timestamps are Eastern time.
• Time stamp is from the confirmation candle, not the indecision candle. So 7am would mean the indecision candle was 6:00-6:59 and the confirmation candle is 7:00-7:59 and you'd put in your order at 8:00.
• I found a couple AM/PM typos as I was reviewing the data, so let me know if a trade doesn't make sense and I'll correct it.

Insanely detailed spreadsheet notes

For you real nerds out there. Here's an explanation of what each column means:

• Pair - duh
• Date/Time - Eastern time, confirmation candle as stated above
• Win to -61.8%? - whether the trade made it to the -61.8% TP level before it hit the original SL.
• Win to -100%? - whether the trade made it to the -100% TP level before it hit the original SL.
• Win to -161.8%? - whether the trade made it to the -161.8% TP level before it hit the original SL.
• Retracement level between -61.8% and -100% - how deep the price retraced after hitting -61.8%, but before hitting -100%. Be careful to look for the negative signs, it's easy to mix them up. Using the fib% levels defined in ParallaxFX's original thread. A plain hyphen "-" means it did not retrace, but rather went straight through -61.8% to -100%. Positive 100 means it hit the original SL.
• Retracement level between -100% and -161.8% - how deep the price retraced after hitting -100%, but before hitting -161.8%. Be careful to look for the negative signs, it's easy to mix them up. Using the fib% levels defined in ParallaxFX's original thread. A plain hyphen "-" means it did not retrace, but rather went straight through -100% to -161.8%. Positive 100 means it hit the original SL.
• Trade Width(Pips) - the size of the confirmation candle, and thus the "width" of your trade on which to determine position size, draw fib levels, etc.
• Loser saved by 2 candle stop? - for all losing trades, whether or not the 2-candle stop loss would have saved the trade and how far it ended up getting if so. "No" means it didn't save it, N/A means it wasn't a losing trade so it's not relevant.
• Spread(ThinkorSwim) - these are typical spreads for these pairs on ToS.
• Spread % of Width - How big is the spread compared to the trade width? Not used in any calculations, but interesting nonetheless.
• True Risk(Trade Width + Spread) - I set my SL at the opposite side of the confirmation candle knowing that I'm actually exposing myself to slightly more risk because of the spread(stop order = market order when submitted, so you pay the spread). So this tells you how many pips you are actually risking despite the Trade Width. I prefer this over setting the stop inside from the edge of the candle because some pairs have a wide spread that would mess with the system overall. But also many, many of these trades retraced very nearly to the edge of the confirmation candle, before ending up nicely profitable. If you keep your risk per trade at 1%, you're talking a true risk of, at most, 1.25% (in worst-case scenarios with the spread being 25% of the trade width as I am going with above).
• Win or Loss in %(1% risk) including spread TP -61.8% - not going to go into huge detail, see the spreadsheet for calculations if you want. But, in a nutshell, if the trade was a win to 61.8%, it returns a positive # based on 61.8% of the trade width, minus the spread. Otherwise, it returns the True Risk as a negative. Both normalized to the 1% risk you started with.
• Win or Loss in %(1% risk) including spread TP -100% - same as the last, but 100% of Trade Width.
• Win or Loss in %(1% risk) including spread TP -161.8% - same as the last, but 161.8% of Trade Width.
• Win or Loss in %(1% risk) including spread TP -100%, and move SL to breakeven at 61.8% - uses the retracement level columns to calculate profit/loss the same as the last few columns, but assuming you moved SL to 0% fib level after price hit -61.8%. Then full TP at 100%.
• Win or Loss in %(1% risk) including spread take off half of position at -61.8%, move SL to breakeven, TP 100% - uses the retracement level columns to calculate profit/loss the same as the last few columns, but assuming you took of half the position and moved SL to 0% fib level after price hit -61.8%. Then TP the remaining half at 100%.
• Overall Growth(-161.8% TP, 1% Risk) - pretty straightforward. Assuming you risked 1% on each trade, what the overall growth level would be chronologically(spreadsheet is sorted by date).

Pairs

1. AUD/CAD
2. AUD/CHF
3. AUD/JPY
4. AUD/NZD
5. AUD/USD
6. CAD/CHF
7. CAD/JPY
8. CHF/JPY
9. EUAUD
10. EUCAD
11. EUCHF
12. EUGBP
13. EUJPY
14. EUNZD
15. EUUSD
16. GBP/AUD
17. GBP/CAD
18. GBP/CHF
19. GBP/JPY
20. GBP/NZD
21. GBP/USD
22. NZD/CAD
23. NZD/CHF
24. NZD/JPY
25. NZD/USD
26. USD/CAD
27. USD/CHF
28. USD/JPY

TL;DR

Based on the reasonable rules I discovered in this backtest:

• Date range: 6/11-7/3
• Winrate: 58.19%
• Adjusted Proft % (takes spread into account): 47.43%

Demo Trading Results

Since this post, I started demo trading this system assuming a 5k capital base and risking ~1% per trade. I've added the details to my spreadsheet for anyone interested. The results are pretty similar to the backtest when you consider real-life conditions/timing are a bit different. I missed some trades due to life(work, out of the house, etc), so that brought my total # of trades and thus overall profit down, but the winrate is nearly identical. I also closed a few trades early due to various reasons(not liking the price action, seeing support/resistance emerge, etc).
A quick note is that TD's paper trade system fills at the mid price for both stop and limit orders, so I had to subtract the spread from the raw trade values to get the true profit/loss amount for each trade.
I'm heading out of town next week, then after that it'll be time to take this sucker live!

• 86 Trades
  • Date range: 7/9-7/30
  • Winrate: 52.32%
  • Adjusted Proft % (takes spread into account): 20.73%
    • Starting Balance: $5,000
    • Ending Balance: $6,036.51

Live Trading Results

I started live-trading this system on 8/10, and almost immediately had a string of losses much longer than either my backtest or demo period. Murphy's law huh? Anyways, that has me spooked so I'm doing a longer backtest before I start risking more real money. It's going to take me a little while due to the volume of trades, but I'll likely make a new post once I feel comfortable with that and start live trading again.

Yes, this is the day. My accountant made the calculations for 2019 income and corporate tax. It's 37580,39€ combined which i have to pay at the end of feb 2021.
I was shocked, to say the least. My business is doing well, so i will have no problem paying that, but that really got me thinking, i need to get frugal NOW!
So here are my expenses, which i never displayed like this before:
2020 expenses
This shit is not sustainable (it is, but i hate to pay taxes and wasting money like this) and i will cut back pretty hard this year.
 
....a little background...
I started selling stuff online mid 2014 and got to 1Mil gross/year in 2017 netting around 12-15%. I was young (31 lol) and stupid, so i bought 2 cars, expensive ones, 0% loans at least(wow i'm so smart)....
Fast forward, i now pay 7154,85€ every month to keep this useless bimbo lifestyle which ich absolutely HATE looking at these numbers...
I do prepay some incometax but it is not nearly enough, so i anticipate to pay 2k/month on top of this for the next year starting March 2021
 
As you can clearly see, i did and am doing all the mistakes a douchbag can do

• buying cars.
• pissing money away on Amazon.
• buying the most expensive gas for your car because it can only use that...
• Takeout at least 4-5 times a Month.
• Saving money where you should not save, on food.
• taking private loans for even more useless stuff.

 
I hate myself so much right now, seeing all the money drained which could have doubled my income when used the right way, i'm in tears...
I did trade a lot of forex in 2010 to 2012, of course loosing money on the way, one thing i learned tho was to use a stop loss, which will cancel any open trade when reaching a certain value. So i'm pulling the stop loss on my spending right now, as i can't take it anymore.

• I will be living in my office by the end of this year, bringing Rent, Internet and Netflix from around 1000€/month to ZERO.
• One car will be paid in full on feb 2021, will sell it immediately using the money to pay of the private loan, bringing the private loan from 1000€/month to ZERO.
• cutting back on Amazon, charging the amazon account with only 100€/Month, saving at least 500€/month.
• No more fucking MCD and BK! I'm fat as hell....saving 127€/month.
• Driving only when necessary. I hope to get it down to around 100€ / month. Gas is so expensive, i'm from germany, you know, it's expensive as hell....
• I will not be paying using cash money anymore, as i can't trace it later...

This measures will free up around 3500€/month at least, which will go to tax prepayment and the other car loan.
Oh boy, writing this down has done so much for me the last hour, i will go even further, cutting everything i can. Can you believe that the isurance for my car is 1000€/year? lol, hear's to having a 300 hp car. New tires are ~850€.
I'm fucking done with all this, the only thing i will spend more on is my body and mind, healthier food, sports. I can't wait.
Thank you for reading, if you did. Hope you don't make the same mistakes i do/did.
 
Cheers.

November 2030
Well, uh, this sucks. Just a few short months after the Arab States of the Gulf finally unified, the world economy decided to explode. This is what we in the business of economics call a very bad thing.
The effects across the FAS have been relatively disparate. The United Arab Emirates, easily the most diversified economy in the region, has been the least heavily impacted (though it's still bad). Diversification programs in Oman and Bahrain have also helped to stave off some of the worst impacts of the crisis, though they haven't been as successful in avoiding the effects as the UAE. Qatar and Kuwait, still almost entirely reliant on hydrocarbon exports, are not happy with this turn of events. Falling global oil prices, though propped up a little by a sudden increase in demand from China, have left their economies struggling much more than the rest of the country, and in desperate need of assistance from the better off parts of the country.
One major pain point in this crisis has been the FAS's economic ties to the United States. While most of the FAS's trade is with Asia, Africa, and Europe, the US financial system still plays a crucial role in the FAS. The stability of the US Dollar has long been used to protect the economies of the Gulf using their vast Forex reserves (earned from oil sales) to peg their currency to the US Dollar. With the US Dollar in complete collapse, the value of the Khaleeji is plummeting right along with it, causing a significant degree of harm to the FAS's economy.
To help offset this harm (and to decouple the FAS's economy from a country that the FAS is starting to view as maybe not the most reliable economic partner), the Central Bank in Dubai has announced that the Khaleeji will switch its peg from the US Dollar to a basket of foreign currencies (the Euro, the Pound Sterling, the Swiss Franc, the US Dollar, and the Japanese Yen). The FAS hopes that this will help to salvage the Khaleeji's value, better protecting the economy from the collapse of the dollar-based international financial system. Rumor has it that the Central Bank is discussing the idea of unpegging the Khaleeji entirely and allowing it to float freely, but so far, the Central Bank has made no moves towards floating the Khaleeji.
Crises suck. They shatter the status quo and throw established norms and procedures into chaos. No one really wins during a crisis.
But in another sense, they're a double-edged sword. The status quo is often a repressive entity, reinforcing existing hierarchies and preventing dramatic shifts in the order of things. Chaos breaks that apart, giving the ingenuitive and the entrepreneurial on opportunity to better their lot in ways they otherwise could not.
Put differently: chaos is a ladder, and the FAS intends to be the one climbing it. As the largest economy in the Arab World (and one of the world's 20 largest economies) by both nominal GDP and GDP per capita (by a significant margin--it's probably either Saudi Arabia or Egypt in second place in nominal GDP, and definitely Saudi Arabia in second place in GDP per capita, but the FAS more than doubles the country in second place in both categories, so it's sort of a moot point), the FAS hopes to cement its place as the regional economic power.
The FAS has announced a new slate of policies intended to attract rich investors, manufacturing firms, and financiers fleeing the new nationalization program of the United States. New free trade zones have been created throughout the country--especially in the struggling, undiversified regions of Kuwait and Qatar--with the goal of convincing fleeing American manufacturers to set up shop in these areas. Attractions include wildly low tax rates (as low as zero percent in some instances), a common law framework (as opposed to the Sharia-based legal system in most of the FAS), highly subsidized land prices (sometimes free), relaxed financial restrictions (making it easier to move money in and out of the FTZ), and, for large enough firms moving enough operations into the country, preferential visa treatment (making it easier for them to relocate foreign employees into the country). Sitting at one of the major crossroads of global trade, moving operations to the FAS offers easy access to both the world's established consumer markets (like the EU and East Asia) as well as to some of its largest growing markets (South and Southeast Asia, East Africa, and MENA). Pair this with wildly high standards of living (for people who aren't slaves Asian or African migrant workers) and established expatriate communities, and the FAS becomes an incredibly attractive option for American and other foreign firms looking to relocate.
In addition to manufacturing-oriented FTZs, special attention has been paid to attracting service-oriented firms to new and existing FTZs in the vein of Dubai Internet City, Dubai Design District, Dubai Knowledge Park, and Dubai Media City, with the goal of developing a robust service economy that can capture growing markets in the MENA, South Asia, and East African regions. In advertising these zones, the governments of the FAS have highlighted the success of previous ventures in Dubai, which have attracted the regional headquarters of giants like Facebook, Intel, LinkedIn, Google, Dell, Samsung, Microsoft, IBM, Tata Consultancy, and more.
Perhaps one of the most substantial pushes, though, is to attract American financial services and FinTech firms to base in the FAS (particularly Dubai, Kuwait City, Doha, and Abu Dhabi, the traditional centers of regional finance). New financial industry free trade zones have been set up in the four cities, structured in the vein of the Dubai International Financial Centre (DIFC). These financial FTZs boast an independent and internationally regulated regulatory and judicial system, a common law framework, and extremely low taxation rates. All government services in these regions are available in English (the lingua franca of international finance), and in events where ambiguity exists in the legal and regulatory systems, the systems are set to default to English Common Law (except for the Kuwait City International Financial Centre, which is hoping to better tailor itself towards American financial firms by defaulting to American Civil Law from pre-2020 rather than English Common Law). Much like in the DIFC, these new FTZs will also run their own courts, staffed in large part by top judicial talent from Common Law (or in the case of Kuwait City, American Civil Law) jurisdictions like Singapore, England, and (formerly) Hong Kong. Using these FTZ, the four cities hope to raise their profile as financial centers. Dubai in particular is hoping to break into the top ten global financial centers--and it stands a good chance of doing so, too, as it sits at number 12, just behind cities like LA, SF, and Shenzhen--while the other cities are just hoping to boost their profile into the 20s or 10s (according to Long Finance, Dubai is number 12 in the world and 1 in the region, Abu Dhabi is number 39 in the world and two in the region, Doha is number 48 in the world, and Kuwait City is number 91).

Day Trading & Technical Analysis System For Intraday Trading Stocks, Forex, Crypto, Options Trading & Financial Trading
What you'll learn

^{Learn All The Charting Tools, Trading Strategies And Profitable Hacks For Day Trading With Real World Examples!
Dedicated Support from the Course Instructors and the Learning Community. 100% Questions Answered Within 24 Hours!
How to Build a Solid Strong Foundation For Day Trading
How to Use TradingView For Chart Analysis & Paper Trading
How to Choose The Best Chart Time Frames For Day Trading
How to Use Different Day Trading Order Types
How to Short Sell & Deal With Short Squeezes
How to Avoid Blowing Up Your Account
How to Use Support & Resistance
How to Trade Profitable Technical Indicators & Overlays That Work Well For Day Trading
How to Identify Market Directions Using EMA
How to Identify Market Directions Using MACD
How to Identify Overbought and Oversold Conditions Using RSI
How to Use Bollinger Bands to Buy Low Sell High
How to Trade Profitable Chart Patterns That Work Well For Day Trading
How to Trade Broadening Tops and Bottoms
How to Trade Wedges and Triangles
How to Trade Flags and Pennants
How to Trade Gaps
How to Trade Double Tops and Bottoms
How to Trade Rounding Tops and Bottoms
How to Trade Diamond Tops and Bottoms
How to Trade Cup and Handle
How to Trade Head and Shoulders
How to Trade Dead-Cat Bounces
And a lot more...}

Videos
Introduction
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003 How to Use Trading View For Chart Analysis
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004 How to Choose The Best Chart Time Frames For Day Trading
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005 Day Trading Order Types
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006 Short Selling Short Squeeze
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007 How to Avoid Blowing Up Your Account
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008 How to Use Support Resistance
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009 How to Identify Market Directions Using EMAs
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010 How to Identify Market Directions Using MACD
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011 How to Identify Overbought and Oversold Conditions Using RSI
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012 How to Use Bollinger Bands to Buy Low Sell High
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013 How to Trade Broadening Tops and Bottoms
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014 How to Trade Wedges and Triangles
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015 How to Trade Flags and Pennants
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016 How to Trade Gaps
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017 How to Trade Double Tops and Bottoms
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018 How to Trade Rounding Tops and Bottoms
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019 How to Trade Diamond Tops and Bottoms
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020 How to Trade Cup and Handle
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021 How to Trade Head and Shoulder
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022 How to Trade Dead Cat Bounces