AminHP gym-anytrading issues

AminHP / gym-anytrading

The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)

MIT License

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issues

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TypeError: Argument 'placement' has incorrect type (expected pandas._libs.internals.BlockPlacement, got slice)

#103 anashoussaini opened 2 weeks ago
0
Some questions

#102 Xadlas opened 1 month ago
0
NameNotFound: Environment forex doesn't exist. ,NameNotFound: Environment stocks doesn't exist.

#101 deDg0d closed 3 months ago
2
Do the trading environments only allow for 1 share to be held at a time?

#100 ShinyOrbThing opened 4 months ago
2
add requirements.txt file

#99 amirrezabasilica closed 3 months ago
0
Unable to evaluate models

#98 ShinyOrbThing closed 4 months ago
2
ModuleNotFoundError: No module named 'your_module'

#97 Mp9909 closed 7 months ago
2
Add render_mode='rgb_array'

#96 ipsec opened 9 months ago
2
Tensor conversion error when trying to use TF-Agents with Anytrading

#95 jimdog99 closed 9 months ago
2
NOT A BUG - General Help: Observation Spaces do not match

#94 QuantumCrazy closed 9 months ago
1
New version of gym ERROR: Environment stocks doesn't exist

#93 QuantumCrazy closed 9 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 12 months ago
0
Same model behaves differently when run on different machines

#91 QuantumCrazy closed 10 months 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 10 months ago
1
Campatibility with TF-Agents

#88 fede72bari closed 9 months ago
1
_calculate_reward modify

#87 panjule closed 10 months ago
1
update from gym to gymnasium

#86 Alex2782 closed 11 months ago
19
Feature Request: update from gym to gymnasium

#85 elliottower closed 10 months 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 1 year 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 1 year ago
1
[QUESTION] Is it possible to change callback to use profit as an evaluation metric instead of rewards?

#73 Olwar closed 1 year ago
1
[QUESTION] StocksEnv not giving any reward when trading with crypto or index data

#72 Olwar closed 1 year ago
2
KeyError: 'render_modes' while creating 'stock-v0' environment

#71 Olwar closed 1 year ago
2
Step price

#70 Benjy96 closed 2 years ago
7
Run in win 10?

#69 johanbech closed 1 year 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
Leverage

#54 sadimoodi closed 2 years ago
5