Backtesting framework of the OctoBot Ecosystem

ai, backtesting, cryptocurrency, deep-learning, exchange, machine-learning, ml, octobot, python, quant, reinforcement-learning, technical-analysis
pip install OctoBot-Pro==0.0.11


OctoBot-Script 0.0.17

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OctoBot Script is the Quant framework by OctoBot

OctoBot Script is in alpha version

Documentation available at octobot.cloud/en/guides/octobot-script

Install OctoBot Script from pip

OctoBot Script requires Python 3.10

python3 -m pip install OctoBot wheel
python3 -m pip install octobot-script

Example of a backtesting script


import asyncio
import tulipy    # Can be any TA library.
import octobot_script as obs

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 obs.Close(ctx, max_history=True)
            times = await obs.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 obs.plot_indicator(ctx, "RSI", times[delta:], rsi_v, run_data["entries"])
        if obs.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 obs.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 obs.get_data("BTC/USDT", "1d", start_timestamp=1505606400)
    run_data = {
        "entries": None,
    # Run a backtest using the above data, strategy and configuration.
    res = await obs.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-Script runs using the python asyncio framework.

Generated report


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