From c836cdb2a4cb175574c5fc0f3104db7b0c20607a Mon Sep 17 00:00:00 2001
From: cardosofede <federico.cardoso.e@gmail.com>
Date: Tue, 10 Oct 2023 17:17:02 -0300
Subject: [PATCH] (feat) add bollingrid

---
 quants_lab/controllers/bollingrid.py | 104 +++++++++++++++++++++++++++
 1 file changed, 104 insertions(+)
 create mode 100644 quants_lab/controllers/bollingrid.py

diff --git a/quants_lab/controllers/bollingrid.py b/quants_lab/controllers/bollingrid.py
new file mode 100644
index 0000000..04c1943
--- /dev/null
+++ b/quants_lab/controllers/bollingrid.py
@@ -0,0 +1,104 @@
+import time
+from decimal import Decimal
+
+import pandas_ta as ta  # noqa: F401
+
+from hummingbot.core.data_type.common import TradeType
+from hummingbot.smart_components.executors.position_executor.data_types import PositionConfig, TrailingStop
+from hummingbot.smart_components.executors.position_executor.position_executor import PositionExecutor
+from hummingbot.smart_components.strategy_frameworks.data_types import OrderLevel
+from hummingbot.smart_components.strategy_frameworks.market_making.market_making_controller_base import (
+    MarketMakingControllerBase,
+    MarketMakingControllerConfigBase,
+)
+
+
+class BollingGridConfig(MarketMakingControllerConfigBase):
+    strategy_name: str = "bollinger_grid"
+    bb_length: int = 12
+    bb_std: float = 2.0
+    natr_length: int = 14
+
+
+class BollingGrid(MarketMakingControllerBase):
+    """
+    Directional Market Making Strategy making use of NATR indicator to make spreads dynamic and shift the mid price.
+    """
+
+    def __init__(self, config: BollingGridConfig):
+        super().__init__(config)
+        self.config = config
+
+    def refresh_order_condition(self, executor: PositionExecutor, order_level: OrderLevel) -> bool:
+        """
+        Checks if the order needs to be refreshed.
+        You can reimplement this method to add more conditions.
+        """
+        if executor.position_config.timestamp + order_level.order_refresh_time > time.time():
+            return False
+        return True
+
+    def early_stop_condition(self, executor: PositionExecutor, order_level: OrderLevel) -> bool:
+        """
+        If an executor has an active position, should we close it based on a condition.
+        """
+        return False
+
+    def cooldown_condition(self, executor: PositionExecutor, order_level: OrderLevel) -> bool:
+        """
+        After finishing an order, the executor will be in cooldown for a certain amount of time.
+        This prevents the executor from creating a new order immediately after finishing one and execute a lot
+        of orders in a short period of time from the same side.
+        """
+        if executor.close_timestamp and executor.close_timestamp + order_level.cooldown_time > time.time():
+            return True
+        return False
+
+    def get_processed_data(self):
+        """
+        Gets the price and spread multiplier from the last candlestick.
+        """
+        candles_df = self.candles[0].candles_df
+        natr = ta.natr(candles_df["high"], candles_df["low"], candles_df["close"], length=self.config.natr_length) / 100
+        candles_df.ta.bbands(length=self.config.bb_length, std=self.config.bb_std, append=True)
+        bbp = candles_df[f"BBP_{self.config.bb_length}_{self.config.bb_std}"]
+
+        candles_df["spread_multiplier"] = natr
+        candles_df["price_multiplier"] = bbp
+        return candles_df
+
+    def get_position_config(self, order_level: OrderLevel) -> PositionConfig:
+        """
+        Creates a PositionConfig object from an OrderLevel object.
+        Here you can use technical indicators to determine the parameters of the position config.
+        """
+        close_price = self.get_close_price(self.config.exchange, self.config.trading_pair)
+        bbp, spread_multiplier = self.get_price_and_spread_multiplier()
+        side_multiplier = -1 if order_level.side == TradeType.BUY else 1
+
+        if (bbp > 0.7 and side_multiplier == 1) or (bbp < 0.3 and side_multiplier == -1):
+            order_price = close_price * (1 + order_level.spread_factor * spread_multiplier * side_multiplier)
+            amount = order_level.order_amount_usd / order_price
+            if order_level.triple_barrier_conf.trailing_stop_trailing_delta and order_level.triple_barrier_conf.trailing_stop_trailing_delta:
+                trailing_stop = TrailingStop(
+                    activation_price_delta=order_level.triple_barrier_conf.trailing_stop_activation_price_delta,
+                    trailing_delta=order_level.triple_barrier_conf.trailing_stop_trailing_delta,
+                )
+            else:
+                trailing_stop = None
+            position_config = PositionConfig(
+                timestamp=time.time(),
+                trading_pair=self.config.trading_pair,
+                exchange=self.config.exchange,
+                side=order_level.side,
+                amount=amount,
+                take_profit=order_level.triple_barrier_conf.take_profit,
+                stop_loss=order_level.triple_barrier_conf.stop_loss,
+                time_limit=order_level.triple_barrier_conf.time_limit,
+                entry_price=Decimal(order_price),
+                open_order_type=order_level.triple_barrier_conf.open_order_type,
+                take_profit_order_type=order_level.triple_barrier_conf.take_profit_order_type,
+                trailing_stop=trailing_stop,
+                leverage=self.config.leverage
+            )
+            return position_config