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AminHP
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gym-anytrading
The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)
MIT License
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465
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Question on step reward
#104
condorman
opened
1 month ago
0
TypeError: Argument 'placement' has incorrect type (expected pandas._libs.internals.BlockPlacement, got slice)
#103
anashoussaini
opened
2 months ago
0
Some questions
#102
Xadlas
opened
2 months ago
0
NameNotFound: Environment forex doesn't exist. ,NameNotFound: Environment stocks doesn't exist.
#101
deDg0d
closed
5 months ago
2
Do the trading environments only allow for 1 share to be held at a time?
#100
ShinyOrbThing
opened
6 months ago
2
add requirements.txt file
#99
amirrezabasilica
closed
5 months ago
0
Unable to evaluate models
#98
ShinyOrbThing
closed
6 months ago
2
ModuleNotFoundError: No module named 'your_module'
#97
Mp9909
closed
9 months ago
2
Add render_mode='rgb_array'
#96
ipsec
opened
11 months ago
2
Tensor conversion error when trying to use TF-Agents with Anytrading
#95
jimdog99
closed
11 months ago
2
NOT A BUG - General Help: Observation Spaces do not match
#94
QuantumCrazy
closed
11 months ago
1
New version of gym ERROR: Environment stocks doesn't exist
#93
QuantumCrazy
closed
11 months ago
9
Does anybody understand this block of code from the MtEnv class in the env directory. Most especially the currency_profit.
#92
modibboalih
closed
1 year ago
0
Same model behaves differently when run on different machines
#91
QuantumCrazy
closed
1 year ago
4
Balance, order volume is not explained in the docs. Reward gaming behavior observed in some models.
#90
astrologos
opened
1 year ago
3
how to use multi time-frame to create custom environment
#89
Masoud1365
closed
1 year ago
1
Campatibility with TF-Agents
#88
fede72bari
closed
11 months ago
1
_calculate_reward modify
#87
panjule
closed
1 year ago
1
update from gym to gymnasium
#86
Alex2782
closed
1 year ago
19
Feature Request: update from gym to gymnasium
#85
elliottower
closed
1 year ago
3
On training how to set the frame_bound?
#84
talvasconcelos
closed
1 year ago
2
How to obtain a single prediction from trained model?
#83
Karlheinzniebuhr
closed
1 year ago
1
Module not found error when running ipynb files / jupyiter notebooks
#82
djarami
closed
1 year ago
6
How to create environment that uses multiple different episodes with 200 time steps each
#81
R470R
closed
1 year ago
9
only two actions short and long?
#80
JiangjiaoLu
closed
1 year ago
3
self.signal_features[0] and self.signal_features[-1] are never be used
#79
lbgitjp
closed
1 year ago
0
Where does the training actually happen?
#78
JohnAllen
closed
1 year ago
0
why the price is based on 'Low' but not 'Close'
#77
williamlifaith
closed
2 years ago
1
LICENSE Not updated in pypi.org
#76
shaktisd
closed
1 year ago
2
gym-anytrading + DI-engine
#75
PaParaZz1
closed
1 year ago
6
applying agent on live data
#74
krowxx
closed
2 years ago
1
[QUESTION] Is it possible to change callback to use profit as an evaluation metric instead of rewards?
#73
Olwar
closed
2 years ago
1
[QUESTION] StocksEnv not giving any reward when trading with crypto or index data
#72
Olwar
closed
2 years ago
2
KeyError: 'render_modes' while creating 'stock-v0' environment
#71
Olwar
closed
2 years ago
2
Step price
#70
Benjy96
closed
2 years ago
7
Run in win 10?
#69
johanbech
closed
2 years ago
1
Example seems to be broken
#68
aheagel
closed
2 years ago
4
State and total profit
#67
DaniilKardava
closed
2 years ago
0
trading_env step(action) returns previous observation
#66
henrydeclety
closed
2 years ago
1
end of training causes noise
#65
GXY2017
closed
2 years ago
2
Corrected custom_env information example
#64
spiovesan
closed
2 years ago
1
Agent can't learn on future data
#63
gendrelom
closed
2 years ago
7
How to maximize the sharpe ratio?
#62
GXY2017
closed
2 years ago
1
Target variable (1 day ahead) or contemporaneous?
#61
ChiragMirani
closed
2 years ago
2
minor improve in trading.env
#60
GXY2017
closed
2 years ago
1
SB3 check_env() Error
#59
0trade
closed
2 years ago
2
stocks env maximum frame_bound is 2335
#58
ArtemDubrovin
closed
2 years ago
1
Holding 0 position shall be encouraged when price is falling.
#57
GXY2017
closed
2 years ago
2
Forex env unit_side question
#56
dancydancy
closed
2 years ago
2
LSTM test
#55
feracero
closed
2 years ago
0
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