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(Prompt at discount for a limited time till July) This prompt construct your own unique trading algorithms. This prompt is designed to help users build a trading bot for stocks, cryptocurrencies, or forex. It allows users to specify their preferred coding language, the number of tickers to trade, the ticker symbols and cash allocation, the dollar value or number of shares for each position, and the time intervals for trading.
Make it simple or make it complex, you can do it all with this prompt
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Updated: Over 1 month ago
Prompt Details
Model
Chat - GPT-3.5 (gpt-3.5-turbo)
Token size
638 ($0.00130 / call)
Example input
[Code language]: Python, [Bot type]: Forex [Time Frames]: 3min 5min 1hr, [Trading indicator]: RSI VWAP SMA , ect.
Example output
Okay, let's start coding your Forex trading bot in Python based on the given requirements:
First, we will import the necessary libraries:
python
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import pandas as pd
import numpy as np
import oandapyV20
import oandapyV20.endpoints.trades as trades
import oandapyV20.endpoints.orders as orders
import oandapyV20.endpoints.pricing as pricing
import time
Next, we will define some variables:
python
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tickers = ["GBP_USD", "USD_CAD", "USD_CHF", "USD_JPY"]
allocation = [0.25, 0.25, 0.25, 0.25] # Cash allocation for each ticker
total_cash = 10000 # Total available cash
position_size = 100 # Dollar value for each position opening
timeframes = ["M3", "M15", "H1", "H4", "D"] # Time intervals
indicators = ["EMA", "RSI", "BBANDS", "ICHIMOKU"] # Indicators to use
rsi_buy = 28 # RSI buy signal value
rsi_sell = 72 # RSI sell signal value
rsi_hold_low = 35 # RSI hold signal low range
rsi_hold_high = 65 # RSI hold signal high range
tenkan_period = 9 # Ichimoku Cloud Tenkan-sen period
kijun_period = 26 # Ichimoku Cloud Kijun-sen period
senkou_a_period = 52 # Ichimoku Cloud Senkou Span A period
senkou_b_period = 26 # Ichimoku Cloud Senkou Span B period
chikou_lag_period = 26 # Ichimoku Cloud Chikou Span lag period
trailing_stop = 2 # Trailing stop order percentage
We will also define some functions:
python
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def get_price(ticker):
"""
Get the current price for a given ticker
"""
params = {"instruments": ticker}
r = pricing.PricingInfo(accountID=account_id, params=params)
rv = api.request(r)
return float(rv["prices"][0]["bids"][0]["price"])
def get_position_size(price):
"""
Calculate the position size based on the given price
"""
return int(position_size / price)
def get_rsi(df):
"""
Calculate the RSI for a given dataframe
"""
delta = df["close"].diff()
gain = delta.where(delta > 0, 0)
loss = -delta.where(delta < 0, 0)
avg_gain = gain.rolling(14).mean()
avg_loss = loss.rolling(14).mean()
rs = avg_gain / avg_loss
rsi = 100 - (100 / (1 + rs))
return rsi[-1]
def get_bbands(df):
"""
Calculate the Bollinger Bands for a given dataframe
"""
ma = df["close"].rolling(20).mean()
std = df["close"].rolling(20).std()
upper_band = ma + 2 * std
lower_band = ma - 2 * std
return upper_band[-1], lower_band[-1]
def get_ichimoku(df):
"""
Calculate the Ichimoku Cloud for a given dataframe
"""
high = df["high"]
low = df["low"]
tenkan_sen_high = high.rolling(tenkan_period).max