dsyoon/DeepStock
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

init

Browse Source
This commit is contained in:
dosangyoon
2022-05-20 19:15:29 +09:00
parent 963dbd1944
commit 8da4ed920c
2 changed files with 9 additions and 19 deletions
Download Patch File Download Diff File Expand all files Collapse all files

22
hts/BuySellChecker.py
View File

@@ -207,20 +207,14 @@ class BuySellChecker:
##########################
if i < 40:
if data["low"][i] < data["lower"][i]+5:
if data["slow_k"][i-1] < 20 and data["slow_k"][i] < 25:
if data["slow_k"][i-1] < 40 and data["slow_k"][i] < 45:
if data["slow_k"][i-1] < data["slow_d"][i-1] and data["slow_d"][i] < data["slow_k"][i] and data["slow_k"][i-1] < data["slow_k"][i]:
if data["close"][i] < data["avg5"][i]:
buy = data["close"][i] - 5
else:
buy = data["low"][i] - 5
buy = data["low"][i]
else:
if data["low"][i] < data["lower"][i]+5:
if data["slow_k"][i-1] < 20 and data["slow_k"][i] < 25:
if data["slow_k"][i-1] < data["slow_d"][i-1] and data["slow_d"][i] < data["slow_k"][i] and data["slow_k"][i-1] < data["slow_k"][i]:
if data["close"][i] < data["avg5"][i]:
buy = data["close"][i] - 5
else:
buy = data["low"][i] - 5
if data["low"][i] < data["lower"][i]:
if data["slow_k"][i-1] < 50 and data["slow_k"][i] < 55:
if data["slow_k"][i-1] < data["slow_d"][i-1] and data["slow_k"][i] > data["slow_d"][i] and data["slow_k"][i-1] <= data["slow_k"][i]:
buy = data["low"][i]
#############################
### STOCHASTIC weight 분석 ###
@@ -427,12 +421,12 @@ class BuySellChecker:
rsi = rsi_df['rsi'].values.tolist()
rsis = rsi_df['rsis'].values.tolist()
temp = {"date": point_temp[:-window+1],
temp = {"date": point_temp[window-1:],
"open": open_list, "high": high_list, "low": low_list, "close": close_list, "volume": vol_list, "upper": upper, "lower": lower,
"avg5": avg5, "avg10": avg10, "avg30": avg30, "avg60": avg60,
"fast_k": fast_k, "slow_k": slow_k, "slow_d": slow_d, "rsi": rsi, "rsis": rsis}
data = pd.DataFrame(temp)
df_final_time = pd.DatetimeIndex(point_temp[:-window+1])
df_final_time = pd.DatetimeIndex(point_temp[window-1:])
data.index = df_final_time
return data