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Description

CI

Entry indicator detection library and strategies for FreqTrade trade bot, see user_data/strategies directory.

freqtrade trade --config config.5m.json --strategy TaSearchLevelG15m --db-url sqlite:///TaSearchLevelG15m.5m.sqlite
freqtrade trade --config config.15m.json --strategy TaSearchLevelH15m --db-url sqlite:///TaSearchLevelH15m.15m.sqlite
freqtrade trade --config config.30m.json --strategy TaSearchLevelL30m --db-url sqlite:///TaSearchLevelL15m.30m.sqlite

model predict

Installation

For development copy the repository using git clone and install package requirements with commands below.

python -m venv .env
source .env/bin/activate

pip install -r requirements.txt
pip install --force-reinstall -r requirements.txt

Testing

The command to download time series data for an interval

python download.py LDO 5m 1666310400 1667210709
python download.py LDO 30m 1666310400 1667210709

Run tests

python -m pytest test
or 
python -m pytest -s test/user_data/strategies/test_TaSearchLevelG15m.py
python -m pytest -s test/user_data/strategies/test_TaSearchLevelH15m.py
python -m pytest -s test/user_data/strategies/test_TaSearchLevelJ15m.py

ta-search's People

Contributors

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ta-search's Issues

strategy meaning

hi, i see you have 3 strategies TaSearchLevelG15m/H/J
may i know what different between them

No signals generated on kucoin and bybit exchanges

I like your idea of finding extremes, my issue is, signals are getting generated on binance, but when configured with bybit and kucoin exchange it is not generating any signals. It generates only when startup_candle_count is set to above 600.

Also on Binance after few hours of running it is only generating long signal it rarely finds short signals.

-Joe

Look ahead bias ?

Hello,
I am currenty learning the mechanics of freqtrade and its strategies and was interrested by your approach to find extrems.
I am not an expert and the process of learning is seamly a long road but, stil, I try my best to understand how strats and signals work at best.
Thus, I wondered if your strat doesn't suffer a so-called look-ahead bias ?
The gap between backtesting and dry-run is simply too enormous. On one side, the backtesting results are simply fantastic but, on another side, running a dry-run is totally another history. Poor results and bad extrems detection.

TaSearchLevelG15m has_bias

024-02-04 16:38:29,973 - freqtrade.optimize.analysis.lookahead_helpers - INFO - Checking look ahead bias via backtests of TaSearchLevelG15m.py took 789 seconds.
| filename | strategy | has_bias | total_signals | biased_entry_signals | biased_exit_signals | biased_indicators |
|----------------------+-------------------+------------+-----------------+------------------------+-----------------------+--------------------------------------------|
| TaSearchLevelG15m.py | TaSearchLevelG15m | True | 20 | 1 | 0 | buy_short2, i_close, i_open, i_low, i_high |

cannot import name 'LocalTrade'

Hey, i want to test this but i have following error:

ImportError: cannot import name 'LocalTrade' from 'freqtrade.persistence.trade_model' (/root/freqtrade/freqtrade/persistence/trade_model.py)

maybe miss some requierements?

thanks a lot

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