added leverage slider

docs/requirements.md

@@ -54,16 +54,23 @@ run cnn training fron the dashboard as well - on each pivot point we inference a
 
 well, we have sell signals. don't we sell at the exact moment when we have long position and execute a sell signal? I see now we're totaly invested. change the model  outputs too include cash signal (or learn to make decision to not enter position when we're not certain about where the market will go.  this way we will only enter when the price move is clearly visible and most probable) learn to not be so certain when we made a bad trade (replay both entering and exiting position) we can do that by storing the models input data when we make a decision and then train with the known output. This is why we wanted to have a central data probider class which will be preparing the data for all the models er inference and train.
 
-I see we're always invested. adjust the training, reward functions and possibly model outputs to include CASH signal where we sell our positions but we keep off the market. or use the orchestrator to learn to make that decison when gets uncertain signals from the expert models.mods hould learn to effectively spot setups in the market which are with high risk/reward level and act on theese
+I see we're always invested. adjust the training, reward functions use the orchestrator to learn to make that decison when gets uncertain signals from the expert models.mods hould learn to effectively spot setups in the market which are with high risk/reward level and act on theese
 
 
-also, implement risk management (stop loss)
-make all dashboard processes run on the server without need of dashboard page to be open in a browser. add Start/Stop toggle on the dash to control it, but all processes should hapen on the server and the dash is just a way to display and contrl them. auto start when we start the web server. 
 
+
+I see we're always invested. adjust the training, reward functions use the orchestrator to learn to make that decison when gets uncertain signals from the expert models.mods hould learn to effectively spot setups in the market which are with high risk/reward level and act on theese
 if that does not work I think we can make it simpler and easier to train if we have just 2 model actions buy/sell. we don't need hold signal, as until we have action we hold. And when we are long and we get a sell signal - we close. and enter short on consequtive sell signal. also, we will have different thresholds for entering and exiting. learning to enter when we are more certain
 this will also help us simplify the training and our codebase to keep it easy to develop.
 as our models are chained, it does not make sense anymore to train them separately. so remove all modes from main_clean and all referenced code. we use only web mode wherehe flow is: we collect data, calculate indicators and pivot points -> CNN -> RL => orchestrator -> broker/web 
 
+orchestrator model also should be an appropriate MoE model that will be able to learn to make decisions based on the signals from the expert models. it should be able to include more models in the future.
+
 
 # DASH
+also, implement risk management (stop loss)
+make all dashboard processes run on the server without need of dashboard page to be open in a browser. add Start/Stop toggle on the dash to control it, but all processes should hapen on the server and the dash is just a way to display and contrl them. auto start when we start the web server. 
+
+all models/training/inference should be run on the server. dashboard should be used only for displaying the data and controlling the processes. let's add a start/stop button to the dashboard to control the processes. also add slider to adjust the buy/sell thresholds for the orchestrator model  and therefore bias the agressiveness of the model actions.
+
 add a row with small charts showing all the data we feed to the models: the 1m 1h 1d and reference (btc) ohlcv on the dashboard