OctoBot Pro

Getting Started

Octobot-Pro Community

OctoBot Pro is the backtesting framework using the OctoBot Ecosystem

OctoBot Pro is in early alpha version
Documentation available at https://pro.octobot.info/

Install OctoBot Pro from pip

OctoBot pro requires Python 3.10
python3 -m pip install OctoBot wheel
python3 -m pip install octobot-pro

Example of a backtesting script


import asyncio
import tulipy # Can be any TA library.
import octobot_pro as op
async def rsi_test():
async def strategy(ctx):
# Will be called at each candle.
if run_data["entries"] is None:
# Compute entries only once per backtest.
closes = await op.Close(ctx, max_history=True)
times = await op.Time(ctx, max_history=True, use_close_time=True)
rsi_v = tulipy.rsi(closes, period=ctx.tentacle.trading_config["period"])
delta = len(closes) - len(rsi_v)
# Populate entries with timestamps of candles where RSI is
# bellow the "rsi_value_buy_threshold" configuration.
run_data["entries"] = {
times[index + delta]
for index, rsi_val in enumerate(rsi_v)
if rsi_val < ctx.tentacle.trading_config["rsi_value_buy_threshold"]
await op.plot_indicator(ctx, "RSI", times[delta:], rsi_v, run_data["entries"])
if op.current_live_time(ctx) in run_data["entries"]:
# Uses pre-computed entries times to enter positions when relevant.
# Also, instantly set take profits and stop losses.
# Position exists could also be set separately.
await op.market(ctx, "buy", amount="10%", stop_loss_offset="-15%", take_profit_offset="25%")
# Configuration that will be passed to each run.
# It will be accessible under "ctx.tentacle.trading_config".
config = {
"period": 10,
"rsi_value_buy_threshold": 28,
# Read and cache candle data to make subsequent backtesting runs faster.
data = await op.get_data("BTC/USDT", "1d", start_timestamp=1505606400)
run_data = {
"entries": None,
# Run a backtest using the above data, strategy and configuration.
res = await op.run(data, strategy, config)
# Generate and open report including indicators plots
await res.plot(show=True)
# Stop data to release local databases.
await data.stop()
# Call the execution of the script inside "asyncio.run" as
# OctoBot-Pro runs using the python asyncio framework.

Generated report


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