The TA_Collector_v1 strategy is a trading strategy that involves collecting technical indicators and making buy/sell decisions based on those indicators. Here's a breakdown of what the strategy does:
The populate_indicators function is responsible for collecting various indicators from different timeframes (1-hour and 5-minute) and merging them with the main dataframe. The resulting dataframe is then sent as JSON data to a specified URL.
The populate_buy_trend function sets the "buy" column of the dataframe to zero, indicating no buy signals for the strategy.
The populate_sell_trend function sets the "sell" column of the dataframe to zero, indicating no sell signals for the strategy.
The strategy involves calculating moving averages (MA) based on different types (EMA, DEMA, T3, SMA, etc.) and lengths specified by the input parameters. ATR (Average True Range) is also calculated. Upper and lower bands are calculated based on the MA values and a multiplier. These bands serve as thresholds for buy/sell signals. Buy and sell signals are determined based on various conditions, such as crossing below/above certain bands, momentum values, and rolling maximum/minimum values. Finally, a new dataframe is constructed with the calculated indicators, buy/sell signals, and other related columns. Note: The code snippet provided seems incomplete and contains some undefined variables or functions. It's advisable to review and ensure the necessary dependencies are imported, variables are properly defined, and missing parts are completed for the strategy to work correctly.
The populate_buy_trend function sets the "buy" column of the dataframe to zero, indicating no buy signals for the strategy.
The populate_sell_trend function sets the "sell" column of the dataframe to zero, indicating no sell signals for the strategy.
The strategy involves calculating moving averages (MA) based on different types (EMA, DEMA, T3, SMA, etc.) and lengths specified by the input parameters. ATR (Average True Range) is also calculated. Upper and lower bands are calculated based on the MA values and a multiplier. These bands serve as thresholds for buy/sell signals. Buy and sell signals are determined based on various conditions, such as crossing below/above certain bands, momentum values, and rolling maximum/minimum values. Finally, a new dataframe is constructed with the calculated indicators, buy/sell signals, and other related columns. Note: The code snippet provided seems incomplete and contains some undefined variables or functions. It's advisable to review and ensure the necessary dependencies are imported, variables are properly defined, and missing parts are completed for the strategy to work correctly.
Traceback (most recent call last): File "/home/ftuser/.local/lib/python3.11/site-packages/urllib3/connection.py", line 198, in _new_conn sock = connection.create_connection( ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/ftuser/.local/lib/python3.11/site-packages/urllib3/util/connection.py", line 85, in create_connection raise err File "/home/ftuser/.local/lib/python3.11/site-packages/urllib3/util/connection.py", line 73, in create_connection sock.connect(sa) OSError: [Errno 113] No route to host The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/home/ftuser/.local/lib/python3.11/site-packages/urllib3/connectionpool.py", line 793, in urlopen response = self._make_request( ^^^^^^^^^^^^^^^^^^^ File "/home/ftuser/.local/lib/python3.11/site-packages/urllib3/connectionpool.py", line 496, in _make_request conn.request( File "/home/ftuser/.local/lib/python3.11/site-packages/urllib3/connection.py", line 400, in request self.endheaders() File "/usr/local/lib/python3.11/http/client.py", line 1293, in endheaders self._send_output(message_body, encode_chunked=encode_chunked) File "/usr/local/lib/python3.11/http/client.py", line 1052, in _send_output self.send(msg) File "/usr/local/lib/python3.11/http/client.py", line 990, in send self.connect() File "/home/ftuser/.local/lib/python3.11/site-packages/urllib3/connection.py", line 238, in connect self.sock = self._new_conn() ^^^^^^^^^^^^^^^^ File "/home/ftuser/.local/lib/python3.11/site-packages/urllib3/connection.py", line 213, in _new_conn raise NewConnectionError( urllib3.exceptions.NewConnectionError:: Failed to establish a new connection: [Errno 113] No route to host The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/home/ftuser/.local/lib/python3.11/site-packages/requests/adapters.py", line 486, in send resp = conn.urlopen( ^^^^^^^^^^^^^ File "/home/ftuser/.local/lib/python3.11/site-packages/urllib3/connectionpool.py", line 847, in urlopen retries = retries.increment( ^^^^^^^^^^^^^^^^^^ File "/home/ftuser/.local/lib/python3.11/site-packages/urllib3/util/retry.py", line 515, in increment raise MaxRetryError(_pool, url, reason) from reason # type: ignore[arg-type] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ urllib3.exceptions.MaxRetryError: HTTPConnectionPool(host='192.168.1.7', port=9000): Max retries exceeded with url: /data-gateway/submit-data (Caused by NewConnectionError(' : Failed to establish a new connection: [Errno 113] No route to host')) During handling of the above exception, another exception occurred: Traceback (most recent call last): File "/freqtrade/freqtrade/main.py", line 42, in main return_code = args['func'](args) ^^^^^^^^^^^^^^^^^^ File "/freqtrade/freqtrade/commands/optimize_commands.py", line 58, in start_backtesting backtesting.start() File "/freqtrade/freqtrade/optimize/backtesting.py", line 1401, in start min_date, max_date = self.backtest_one_strategy(strat, data, timerange) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/freqtrade/freqtrade/optimize/backtesting.py", line 1318, in backtest_one_strategy preprocessed = self.strategy.advise_all_indicators(data) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/freqtrade/freqtrade/strategy/interface.py", line 1378, in advise_all_indicators return {pair: self.advise_indicators(pair_data.copy(), {'pair': pair}).copy() ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/freqtrade/freqtrade/strategy/interface.py", line 1378, in return {pair: self.advise_indicators(pair_data.copy(), {'pair': pair}).copy() ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/freqtrade/freqtrade/strategy/interface.py", line 1410, in advise_indicators return self.populate_indicators(dataframe, metadata) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/freqtrade/user_data/strategies/TA_Collector_v1_2.py", line 762, in populate_indicators requests.post('http://192.168.1.7:9000/data-gateway/submit-data', json=postData) File "/home/ftuser/.local/lib/python3.11/site-packages/requests/api.py", line 115, in post return request("post", url, data=data, json=json, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/ftuser/.local/lib/python3.11/site-packages/requests/api.py", line 59, in request return session.request(method=method, url=url, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/ftuser/.local/lib/python3.11/site-packages/requests/sessions.py", line 589, in request resp = self.send(prep, **send_kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/ftuser/.local/lib/python3.11/site-packages/requests/sessions.py", line 703, in send r = adapter.send(request, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/ftuser/.local/lib/python3.11/site-packages/requests/adapters.py", line 519, in send raise ConnectionError(e, request=request) requests.exceptions.ConnectionError: HTTPConnectionPool(host='192.168.1.7', port=9000): Max retries exceeded with url: /data-gateway/submit-data (Caused by NewConnectionError(' : Failed to establish a new connection: [Errno 113] No route to host'))
stoploss: -0.99 timeframe: 1m hash(sha256): 93ae4491bbdc3acd990eefa3da3c9f7f036f804104caac00bb8a834698ea2e9a indicators: upper close stoch_slowd_1m cmf_1m ha_obv bb_upperband3_1m volume xe1 sma_100_osc rsi_14 bb_upperband2 high sma_6_osc_1m sma_9_osc_1m sma_6 stoch_slow_osc sma_60_1m bb_lowerband3 xe6 macd_histogram_1m vma_20 final_ub ha_high ha_low_1m T3Average sma_60_osc_1m stoch_fastd_1m sma_6_1m basic_ub obv stoch_slowd bb_middleband2 sma_6_osc macd_signal vwap_osc_1m rsi_14_1m ha_close_1m stoch_slow_osc_1m ha_open macd_1m rsi_osc_1m macdsignal slowk bb_lowerband3_1m vol_osc_1m mobv_3 obv_1m vwap macd_osc clos
Similar Strategies: (based on used indicators)
Strategy: TA_Collector_v1_221, Similarity Score: 96.08%
last change: 2024-04-28 08:39:58