remove all mongodb related code

docs/bot-usage.md

@@ -165,7 +165,7 @@ to find optimal parameter values for your stategy.
 
 ```
 usage: main.py hyperopt [-h] [-i TICKER_INTERVAL] [--realistic-simulation]
-                        [--timerange TIMERANGE] [-e INT] [--use-mongodb]
+                        [--timerange TIMERANGE] [-e INT]
                         [-s {all,buy,roi,stoploss} [{all,buy,roi,stoploss} ...]]
 
 optional arguments:
@@ -175,11 +175,8 @@ optional arguments:
   --realistic-simulation
                         uses max_open_trades from config to simulate real
                         world limitations
-  --timerange TIMERANGE
-                        specify what timerange of data to use.
+  --timerange TIMERANGE specify what timerange of data to use.
   -e INT, --epochs INT  specify number of epochs (default: 100)
-  --use-mongodb         parallelize evaluations with mongodb (requires mongod
-                        in PATH)
   -s {all,buy,roi,stoploss} [{all,buy,roi,stoploss} ...], --spaces {all,buy,roi,stoploss} [{all,buy,roi,stoploss} ...]
                         Specify which parameters to hyperopt. Space separate
                         list. Default: all

docs/hyperopt.md

@@ -9,7 +9,6 @@ parameters with Hyperopt.
 - [Advanced Hyperopt notions](#advanced-notions)
     - [Understand the Guards and Triggers](#understand-the-guards-and-triggers)
 - [Execute Hyperopt](#execute-hyperopt)
-    - [Hyperopt with MongoDB](#hyperopt-with-mongoDB)
 - [Understand the hyperopts result](#understand-the-backtesting-result)
 
 ## Prepare Hyperopt
@@ -194,41 +193,6 @@ Legal values are:
 - `stoploss`: search for the best stoploss value
 - space-separated list of any of the above values for example `--spaces roi stoploss`
 
-### Hyperopt with MongoDB
-Hyperopt with MongoDB, is like Hyperopt under steroids. As you saw by
-executing the previous command is the execution takes a long time. 
-To accelerate it you can use hyperopt with MongoDB.
-
-To run hyperopt with MongoDb you will need 3 terminals.
-
-**Terminal 1: Start MongoDB**
-```bash
-cd <freqtrade> 
-source .env/bin/activate
-python3 scripts/start-mongodb.py
-```
-
-**Terminal 2: Start Hyperopt worker**
-```bash
-cd <freqtrade> 
-source .env/bin/activate
-python3 scripts/start-hyperopt-worker.py
-```
-
-**Terminal 3: Start Hyperopt with MongoDB**
-```bash
-cd <freqtrade> 
-source .env/bin/activate
-python3 ./freqtrade/main.py -c config.json hyperopt --use-mongodb
-```
-
-**Re-run an Hyperopt**
-To re-run Hyperopt you have to delete the existing MongoDB table.
-```bash
-cd <freqtrade> 
-rm -rf .hyperopt/mongodb/
-```
-
 ## Understand the hyperopts result 
 Once Hyperopt is completed you can use the result to adding new buy 
 signal. Given following result from hyperopt:

docs/installation.md

@@ -225,17 +225,7 @@ cd ..
 rm -rf ./ta-lib*
 ```
 
-#### 3. [Optional] Install MongoDB
-
-Install MongoDB if you plan to optimize your strategy with Hyperopt.
-
-```bash
-sudo apt-get install mongodb-org
-```
-
-> Complete tutorial from Digital Ocean: [How to Install MongoDB on Ubuntu 16.04](https://www.digitalocean.com/community/tutorials/how-to-install-mongodb-on-ubuntu-16-04).
-
-#### 4. Install FreqTrade
+#### 3. Install FreqTrade
 
 Clone the git repository:
 
@@ -243,7 +233,7 @@ Clone the git repository:
 git clone https://github.com/freqtrade/freqtrade.git
 ```
 
-#### 5. Configure `freqtrade` as a `systemd` service
+#### 4. Configure `freqtrade` as a `systemd` service
 
 From the freqtrade repo... copy `freqtrade.service` to your systemd user directory (usually `~/.config/systemd/user`) and update `WorkingDirectory` and `ExecStart` to match your setup.
 
@@ -267,19 +257,7 @@ sudo loginctl enable-linger "$USER"
 brew install python3 git wget ta-lib
 ```
 
-#### 2. [Optional] Install MongoDB
-
-Install MongoDB if you plan to optimize your strategy with Hyperopt.
-
-```bash
-curl -O https://fastdl.mongodb.org/osx/mongodb-osx-ssl-x86_64-3.4.10.tgz
-tar -zxvf mongodb-osx-ssl-x86_64-3.4.10.tgz
-mkdir -p <path_freqtrade>/env/mongodb
-cp -R -n mongodb-osx-x86_64-3.4.10/ <path_freqtrade>/env/mongodb
-export PATH=<path_freqtrade>/env/mongodb/bin:$PATH
-```
-
-#### 3. Install FreqTrade
+#### 2. Install FreqTrade
 
 Clone the git repository: