openenv/pr_842/en/_app/immutable/nodes/18.b96dfd2c.js

import{s as wU,n as CU,o as pU}from"../chunks/scheduler.2b22cead.js";import{S as IU,i as rU,e as w,s as T,c as s,h as oU,a as C,d as J,b as e,f as qt,g as n,j as p,k as yU,l as g,m as U,n as M,t as a,o as i,p as y}from"../chunks/index.1a0e8013.js";import{C as cU,H as I,E as gU}from"../chunks/MermaidChart.svelte_svelte_type_style_lang.7c22bb59.js";import{C as r}from"../chunks/CodeBlock.a4b5d9e8.js";function jU(FJ){let o,Pt,Xt,Kt,j,tl,m,ll,u,VJ='A wrapper around <a href="https://github.com/AI4Finance-Foundation/FinRL" rel="nofollow">FinRL</a> stock trading environments that conforms to the OpenEnv specification.',Jl,k,Ul,d,vJ="This environment enables reinforcement learning for stock trading tasks using FinRL’s powerful StockTradingEnv, exposed through OpenEnv’s simple HTTP API. It supports:",Tl,f,RJ="<li><strong>Stock Trading</strong>: Buy/sell actions across multiple stocks</li> <li><strong>Portfolio Management</strong>: Track balance, holdings, and portfolio value</li> <li><strong>Technical Indicators</strong>: MACD, RSI, CCI, DX, and more</li> <li><strong>Flexible Configuration</strong>: Custom data sources and trading parameters</li>",el,h,sl,$,nl,b,BJ="First, build the base image (from OpenEnv root):",Ml,A,al,N,QJ="Then build the FinRL environment image:",il,F,yl,V,wl,v,Cl,R,pl,B,ZJ="This starts the server with synthetic sample data for testing.",Il,Q,rl,Z,EJ="Create a configuration file <code>config.json</code>:",ol,E,cl,x,xJ="Run with configuration:",gl,G,jl,_,ml,S,ul,W,kl,Y,dl,L,fl,O,hl,D,GJ="Trading action for the environment.",$l,z,_J="<strong>Attributes:</strong>",bl,X,SJ=`<li><code>actions: list[float]</code> - Array of normalized action values (-1 to 1) for each stock
<ul><li>Positive values: Buy</li> <li>Negative values: Sell</li> <li>Magnitude: Relative trade size</li></ul></li>`,Al,H,WJ="<strong>Example:</strong>",Nl,q,Fl,P,Vl,K,YJ="Observation returned by the environment.",vl,tt,LJ="<strong>Attributes:</strong>",Rl,lt,OJ=`<li><code>state: list[float]</code> - Flattened state vector
<ul><li>Structure: <code>[balance, prices..., holdings..., indicators...]</code></li></ul></li> <li><code>portfolio_value: float</code> - Total portfolio value (cash + holdings)</li> <li><code>date: str</code> - Current trading date</li> <li><code>done: bool</code> - Whether episode has ended</li> <li><code>reward: float</code> - Reward for the last action</li> <li><code>metadata: dict</code> - Additional information</li>`,Bl,Jt,DJ="<strong>Example:</strong>",Ql,Ut,Zl,Tt,El,et,xl,st,zJ="Reset the environment to start a new episode.",Gl,nt,_l,Mt,Sl,at,XJ="Execute a trading action.",Wl,it,Yl,yt,Ll,wt,HJ="Get episode metadata (episode_id, step_count).",Ol,Ct,Dl,pt,zl,It,qJ="Get environment configuration.",Xl,rt,Hl,ot,ql,ct,PJ="The environment expects stock data in the following CSV format:",Pl,gt,KJ="<thead><tr><th>date</th> <th>tic</th> <th>close</th> <th>high</th> <th>low</th> <th>open</th> <th>volume</th> <th>macd</th> <th>rsi_30</th> <th>cci_30</th> <th>dx_30</th></tr></thead> <tbody><tr><td>2020-01-01</td> <td>AAPL</td> <td>100.0</td> <td>102.0</td> <td>98.0</td> <td>99.0</td> <td>1000000</td> <td>0.5</td> <td>55.0</td> <td>10.0</td> <td>15.0</td></tr> <tr><td>2020-01-01</td> <td>GOOGL</td> <td>1500.0</td> <td>1520.0</td> <td>1480.0</td> <td>1490.0</td> <td>500000</td> <td>-0.3</td> <td>48.0</td> <td>-5.0</td> <td>20.0</td></tr></tbody>",Kl,jt,tU="<strong>Required columns:</strong>",tJ,mt,lU="<li><code>date</code>: Trading date</li> <li><code>tic</code>: Stock ticker symbol</li> <li><code>close</code>, <code>high</code>, <code>low</code>, <code>open</code>: Price data</li> <li><code>volume</code>: Trading volume</li> <li>Technical indicators (as specified in <code>tech_indicator_list</code>)</li>",lJ,ut,JJ,kt,JU="<thead><tr><th>Parameter</th> <th>Type</th> <th>Description</th></tr></thead> <tbody><tr><td><code>data_path</code></td> <td>str</td> <td>Path to CSV file with stock data</td></tr> <tr><td><code>stock_dim</code></td> <td>int</td> <td>Number of stocks to trade</td></tr> <tr><td><code>hmax</code></td> <td>int</td> <td>Maximum shares per trade</td></tr> <tr><td><code>initial_amount</code></td> <td>int</td> <td>Starting cash balance</td></tr> <tr><td><code>num_stock_shares</code></td> <td>list[int]</td> <td>Initial holdings for each stock</td></tr> <tr><td><code>buy_cost_pct</code></td> <td>list[float]</td> <td>Transaction cost for buying (per stock)</td></tr> <tr><td><code>sell_cost_pct</code></td> <td>list[float]</td> <td>Transaction cost for selling (per stock)</td></tr> <tr><td><code>reward_scaling</code></td> <td>float</td> <td>Scaling factor for rewards</td></tr> <tr><td><code>state_space</code></td> <td>int</td> <td>Dimension of state vector</td></tr> <tr><td><code>action_space</code></td> <td>int</td> <td>Dimension of action space</td></tr> <tr><td><code>tech_indicator_list</code></td> <td>list[str]</td> <td>Technical indicators to include</td></tr></tbody>",UJ,dt,TJ,ft,eJ,ht,sJ,$t,nJ,bt,MJ,c,At,Dt,UU="Check if base image exists:",bJ,Nt,AJ,Ft,zt,TU="Build base image if missing:",NJ,Vt,aJ,vt,iJ,Rt,eU="Make sure you’re in the <code>src</code> directory:",yJ,Bt,wJ,Qt,CJ,Zt,sU="Verify your data file has all required columns:",pJ,Et,IJ,xt,rJ,Gt,nU="See the <code>examples/</code> directory for complete examples:",oJ,_t,MU="<li><code>examples/finrl_simple.py</code> - Basic usage</li> <li><code>examples/finrl_training.py</code> - Full training loop with PPO</li> <li><code>examples/finrl_backtesting.py</code> - Backtesting a trained agent</li>",cJ,St,gJ,Wt,aU="BSD 3-Clause License (see LICENSE file in repository root)",jJ,Yt,mJ,Lt,iU='<li><a href="https://arxiv.org/abs/2011.09607" rel="nofollow">FinRL Paper</a></li> <li><a href="https://github.com/AI4Finance-Foundation/FinRL" rel="nofollow">FinRL GitHub</a></li> <li><a href="README">OpenEnv Documentation</a></li>',uJ,Ot,kJ,Ht,dJ;return j=new cU({props:{containerStyle:"float: right; margin-left: 10px; display: inline-flex; position: relative; z-index: 10;"}}),m=new I({props:{title:"FinRL Environment",local:"finrl-environment",headingTag:"h1"}}),k=new I({props:{title:"Overview",local:"overview",headingTag:"h2"}}),h=new I({props:{title:"Quick Start",local:"quick-start",headingTag:"h2"}}),$=new I({props:{title:"1. Build the Docker Image",local:"1-build-the-docker-image",headingTag:"h3"}}),A=new r({props:{code:"Y2QlMjBPcGVuRW52JTBBZG9ja2VyJTIwYnVpbGQlMjAtdCUyMGVudnRvcmNoLWJhc2UlM0FsYXRlc3QlMjAtZiUyMHNyYyUyRm9wZW5lbnYlMkZjb3JlJTJGY29udGFpbmVycyUyRmltYWdlcyUyRkRvY2tlcmZpbGUlMjAu",highlighted:`<span class="hljs-built_in">cd</span> OpenEnv
docker build -t envtorch-base:latest -f src/openenv/core/containers/images/Dockerfile .`,lang:"bash",wrap:!1}}),F=new r({props:{code:"ZG9ja2VyJTIwYnVpbGQlMjAtdCUyMGZpbnJsLWVudiUzQWxhdGVzdCUyMC1mJTIwZW52cyUyRmZpbnJsX2VudiUyRnNlcnZlciUyRkRvY2tlcmZpbGUlMjAu",highlighted:"docker build -t finrl-env:latest -f envs/finrl_env/server/Dockerfile .",lang:"bash",wrap:!1}}),V=new I({props:{title:"2. Run the Server",local:"2-run-the-server",headingTag:"h3"}}),v=new I({props:{title:"Option A: With Default Sample Data",local:"option-a-with-default-sample-data",headingTag:"h4"}}),R=new r({props:{code:"ZG9ja2VyJTIwcnVuJTIwLXAlMjA4MDAwJTNBODAwMCUyMGZpbnJsLWVudiUzQWxhdGVzdA==",highlighted:"docker run -p 8000:8000 finrl-env:latest",lang:"bash",wrap:!1}}),Q=new I({props:{title:"Option B: With Custom Configuration",local:"option-b-with-custom-configuration",headingTag:"h4"}}),E=new r({props:{code:"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",highlighted:`<span class="hljs-punctuation">{</span>
  <span class="hljs-attr">&quot;data_path&quot;</span><span class="hljs-punctuation">:</span> <span class="hljs-string">&quot;/data/stock_data.csv&quot;</span><span class="hljs-punctuation">,</span>
  <span class="hljs-attr">&quot;stock_dim&quot;</span><span class="hljs-punctuation">:</span> <span class="hljs-number">3</span><span class="hljs-punctuation">,</span>
  <span class="hljs-attr">&quot;hmax&quot;</span><span class="hljs-punctuation">:</span> <span class="hljs-number">100</span><span class="hljs-punctuation">,</span>
  <span class="hljs-attr">&quot;initial_amount&quot;</span><span class="hljs-punctuation">:</span> <span class="hljs-number">100000</span><span class="hljs-punctuation">,</span>
  <span class="hljs-attr">&quot;num_stock_shares&quot;</span><span class="hljs-punctuation">:</span> <span class="hljs-punctuation">[</span><span class="hljs-number">0</span><span class="hljs-punctuation">,</span> <span class="hljs-number">0</span><span class="hljs-punctuation">,</span> <span class="hljs-number">0</span><span class="hljs-punctuation">]</span><span class="hljs-punctuation">,</span>
  <span class="hljs-attr">&quot;buy_cost_pct&quot;</span><span class="hljs-punctuation">:</span> <span class="hljs-punctuation">[</span><span class="hljs-number">0.001</span><span class="hljs-punctuation">,</span> <span class="hljs-number">0.001</span><span class="hljs-punctuation">,</span> <span class="hljs-number">0.001</span><span class="hljs-punctuation">]</span><span class="hljs-punctuation">,</span>
  <span class="hljs-attr">&quot;sell_cost_pct&quot;</span><span class="hljs-punctuation">:</span> <span class="hljs-punctuation">[</span><span class="hljs-number">0.001</span><span class="hljs-punctuation">,</span> <span class="hljs-number">0.001</span><span class="hljs-punctuation">,</span> <span class="hljs-number">0.001</span><span class="hljs-punctuation">]</span><span class="hljs-punctuation">,</span>
  <span class="hljs-attr">&quot;reward_scaling&quot;</span><span class="hljs-punctuation">:</span> <span class="hljs-number">0.0001</span><span class="hljs-punctuation">,</span>
  <span class="hljs-attr">&quot;state_space&quot;</span><span class="hljs-punctuation">:</span> <span class="hljs-number">25</span><span class="hljs-punctuation">,</span>
  <span class="hljs-attr">&quot;action_space&quot;</span><span class="hljs-punctuation">:</span> <span class="hljs-number">3</span><span class="hljs-punctuation">,</span>
  <span class="hljs-attr">&quot;tech_indicator_list&quot;</span><span class="hljs-punctuation">:</span> <span class="hljs-punctuation">[</span><span class="hljs-string">&quot;macd&quot;</span><span class="hljs-punctuation">,</span> <span class="hljs-string">&quot;rsi_30&quot;</span><span class="hljs-punctuation">,</span> <span class="hljs-string">&quot;cci_30&quot;</span><span class="hljs-punctuation">,</span> <span class="hljs-string">&quot;dx_30&quot;</span><span class="hljs-punctuation">]</span>
<span class="hljs-punctuation">}</span>`,lang:"json",wrap:!1}}),G=new r({props:{code:"ZG9ja2VyJTIwcnVuJTIwLXAlMjA4MDAwJTNBODAwMCUyMCU1QyUwQSUyMCUyMC12JTIwJTI0KHB3ZCklMkZjb25maWcuanNvbiUzQSUyRmNvbmZpZyUyRmNvbmZpZy5qc29uJTIwJTVDJTBBJTIwJTIwLXYlMjAlMjQocHdkKSUyRmRhdGElM0ElMkZkYXRhJTIwJTVDJTBBJTIwJTIwLWUlMjBGSU5STF9DT05GSUdfUEFUSCUzRCUyRmNvbmZpZyUyRmNvbmZpZy5qc29uJTIwJTVDJTBBJTIwJTIwZmlucmwtZW52JTNBbGF0ZXN0",highlighted:`docker run -p 8000:8000 \\
  -v $(<span class="hljs-built_in">pwd</span>)/config.json:/config/config.json \\
  -v $(<span class="hljs-built_in">pwd</span>)/data:/data \\
  -e FINRL_CONFIG_PATH=/config/config.json \\
  finrl-env:latest`,lang:"bash",wrap:!1}}),_=new I({props:{title:"3. Use the Client",local:"3-use-the-client",headingTag:"h3"}}),S=new r({props:{code:"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",highlighted:`<span class="hljs-keyword">from</span> envs.finrl_env <span class="hljs-keyword">import</span> FinRLEnv, FinRLAction
<span class="hljs-keyword">import</span> numpy <span class="hljs-keyword">as</span> np

<span class="hljs-comment"># Connect to server</span>
client = FinRLEnv(base_url=<span class="hljs-string">&quot;http://localhost:8000&quot;</span>)

<span class="hljs-comment"># Get configuration</span>
config = client.get_config()
<span class="hljs-built_in">print</span>(<span class="hljs-string">f&quot;Trading <span class="hljs-subst">{config[<span class="hljs-string">&#x27;stock_dim&#x27;</span>]}</span> stocks&quot;</span>)
<span class="hljs-built_in">print</span>(<span class="hljs-string">f&quot;Initial capital: $<span class="hljs-subst">{config[<span class="hljs-string">&#x27;initial_amount&#x27;</span>]:,<span class="hljs-number">.0</span>f}</span>&quot;</span>)

<span class="hljs-comment"># Reset environment</span>
result = client.reset()
<span class="hljs-built_in">print</span>(<span class="hljs-string">f&quot;Initial portfolio value: $<span class="hljs-subst">{result.observation.portfolio_value:,<span class="hljs-number">.2</span>f}</span>&quot;</span>)

<span class="hljs-comment"># Trading loop</span>
<span class="hljs-keyword">for</span> step <span class="hljs-keyword">in</span> <span class="hljs-built_in">range</span>(<span class="hljs-number">100</span>):
    <span class="hljs-comment"># Get current state</span>
    state = result.observation.state

    <span class="hljs-comment"># Your RL policy here (example: random actions)</span>
    num_stocks = config[<span class="hljs-string">&#x27;stock_dim&#x27;</span>]
    actions = np.random.uniform(-<span class="hljs-number">1</span>, <span class="hljs-number">1</span>, size=num_stocks).tolist()

    <span class="hljs-comment"># Execute action</span>
    result = client.step(FinRLAction(actions=actions))

    <span class="hljs-built_in">print</span>(<span class="hljs-string">f&quot;Step <span class="hljs-subst">{step}</span>: Portfolio=$<span class="hljs-subst">{result.observation.portfolio_value:,<span class="hljs-number">.2</span>f}</span>, &quot;</span>
          <span class="hljs-string">f&quot;Reward=<span class="hljs-subst">{result.reward:<span class="hljs-number">.2</span>f}</span>&quot;</span>)

    <span class="hljs-keyword">if</span> result.done:
        <span class="hljs-built_in">print</span>(<span class="hljs-string">&quot;Episode finished!&quot;</span>)
        <span class="hljs-keyword">break</span>

client.close()`,lang:"python",wrap:!1}}),W=new I({props:{title:"Architecture",local:"architecture",headingTag:"h2"}}),Y=new r({props:{code:"%E2%94%8C%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%90%0A%E2%94%82%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20RL%20Training%20Framework%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%E2%94%82%0A%E2%94%82%20%20%E2%94%8C%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%90%20%20%E2%94%8C%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%90%20%20%E2%94%8C%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%90%20%20%20%20%20%20%E2%94%82%0A%E2%94%82%20%20%E2%94%82%20Policy%20Net%20%20%20%E2%94%82%20%20%E2%94%82%20Value%20Net%20%20%20%20%E2%94%82%20%20%E2%94%82%20Replay%20%20%20%20%20%20%20%E2%94%82%20%20%20%20%20%20%E2%94%82%0A%E2%94%82%20%20%E2%94%82%20(PyTorch)%20%20%20%20%E2%94%82%20%20%E2%94%82%20(PyTorch)%20%20%20%20%E2%94%82%20%20%E2%94%82%20Buffer%20%20%20%20%20%20%20%E2%94%82%20%20%20%20%20%20%E2%94%82%0A%E2%94%82%20%20%E2%94%94%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%AC%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%98%20%20%E2%94%94%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%AC%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%98%20%20%E2%94%94%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%AC%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%98%20%20%20%20%20%20%E2%94%82%0A%E2%94%82%20%20%20%20%20%20%20%20%20%E2%94%94%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%B4%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%98%20%20%20%20%20%20%20%20%20%20%20%20%20%20%E2%94%82%0A%E2%94%82%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%E2%94%82%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%E2%94%82%0A%E2%94%82%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%E2%94%8C%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%96%BC%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%90%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%E2%94%82%0A%E2%94%82%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%E2%94%82%20FinRLEnv%20%20%20%20%20%20%20%20%E2%94%82%20%E2%86%90%20HTTP%20Client%20%20%20%20%20%20%20%20%20%20%E2%94%82%0A%E2%94%82%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%E2%94%82%20(HTTPEnvClient)%20%E2%94%82%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%E2%94%82%0A%E2%94%82%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%E2%94%94%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%AC%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%98%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%E2%94%82%0A%E2%94%94%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%BC%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%98%0A%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%E2%94%82%20HTTP%20(JSON)%0A%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%E2%94%8C%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%96%BC%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%90%0A%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%E2%94%82%20Docker%20Container%E2%94%82%0A%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%E2%94%82%20%20Port%3A%208000%20%20%20%20%20%E2%94%82%0A%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%E2%94%82%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%E2%94%82%0A%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%E2%94%82%20%E2%94%8C%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%90%20%E2%94%82%0A%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%E2%94%82%20%E2%94%82FastAPI%20%20%20%20%20%20%E2%94%82%20%E2%94%82%0A%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%E2%94%82%20%E2%94%82Server%20%20%20%20%20%20%20%E2%94%82%20%E2%94%82%0A%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%E2%94%82%20%E2%94%94%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%AC%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%98%20%E2%94%82%0A%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%E2%94%82%20%20%20%20%20%20%20%20%E2%94%82%20%20%20%20%20%20%20%20%E2%94%82%0A%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%E2%94%82%20%E2%94%8C%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%96%BC%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%90%20%E2%94%82%0A%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%E2%94%82%20%E2%94%82%20FinRL%20%20%20%20%20%20%20%E2%94%82%20%E2%94%82%0A%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%E2%94%82%20%E2%94%82%20Environment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inRL%20%20%20%20%20%20%20%E2%94%82%20%E2%94%82%0A%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%E2%94%82%20%E2%94%82%20StockTrading%E2%94%82%20%E2%94%82%0A%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%E2%94%82%20%E2%94%82%20Env%20%20%20%20%20%20%20%20%20%E2%94%82%20%E2%94%82%0A%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%E2%94%82%20%E2%94%94%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%98%20%E2%94%82%0A%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%E2%94%94%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%80%E2%94%98",highlighted:`┌─────────────────────────────────────────────────────────────┐
│                    RL Training Framework                    │
│  ┌──────────────┐  ┌──────────────┐  ┌──────────────┐      │
│  │ Policy Net   │  │ Value Net    │  │ Replay       │      │
│  │ (PyTorch)    │  │ (PyTorch)    │  │ Buffer       │      │
│  └──────┬───────┘  └──────┬───────┘  └──────┬───────┘      │
│         └──────────────────┴──────────────────┘              │
│                            │                                 │
│                   ┌────────▼────────┐                        │
│                   │ FinRLEnv        │ ← HTTP Client          │
│                   │ (HTTPEnvClient) │                        │
│                   └────────┬────────┘                        │
└────────────────────────────┼─────────────────────────────────┘
                             │ HTTP (JSON)
                    ┌────────▼────────┐
                    │ Docker Container│
                    │  Port: <span class="hljs-number">8000</span>     │
                    │                 │
                    │ ┌─────────────┐ │
                    │ │FastAPI      │ │
                    │ │Server       │ │
                    │ └──────┬──────┘ │
                    │        │        │
                    │ ┌──────▼──────┐ │
                    │ │ FinRL       │ │
                    │ │ Environment │ │
                    │ └──────┬──────┘ │
                    │        │        │
                    │ ┌──────▼──────┐ │
                    │ │ FinRL       │ │
                    │ │ StockTrading│ │
                    │ │ Env         │ │
                    │ └─────────────┘ │
                    └─────────────────┘`,lang:"",wrap:!1}}),L=new I({props:{title:"API Reference",local:"api-reference",headingTag:"h2"}}),O=new I({props:{title:"FinRLAction",local:"finrlaction",headingTag:"h3"}}),q=new r({props:{code:"JTIzJTIwQnV5JTIwc3RvY2slMjAwJTJDJTIwc2VsbCUyMHN0b2NrJTIwMSUyQyUyMGhvbGQlMjBzdG9jayUyMDIlMEFhY3Rpb24lMjAlM0QlMjBGaW5STEFjdGlvbihhY3Rpb25zJTNEJTVCMC41JTJDJTIwLTAuMyUyQyUyMDAuMCU1RCk=",highlighted:`<span class="hljs-comment"># Buy stock 0, sell stock 1, hold stock 2</span>
action = FinRLAction(actions=[<span class="hljs-number">0.5</span>, -<span class="hljs-number">0.3</span>, <span class="hljs-number">0.0</span>])`,lang:"python",wrap:!1}}),P=new I({props:{title:"FinRLObservation",local:"finrlobservation",headingTag:"h3"}}),Ut=new r({props:{code:"b2JzJTIwJTNEJTIwcmVzdWx0Lm9ic2VydmF0aW9uJTBBcHJpbnQoZiUyMlBvcnRmb2xpbyUzQSUyMCUyNCU3Qm9icy5wb3J0Zm9saW9fdmFsdWUlM0ElMkMuMmYlN0QlMjIpJTBBcHJpbnQoZiUyMkRhdGUlM0ElMjAlN0JvYnMuZGF0ZSU3RCUyMiklMEFwcmludChmJTIyU3RhdGUlMjBkaW1lbnNpb24lM0ElMjAlN0JsZW4ob2JzLnN0YXRlKSU3RCUyMik=",highlighted:`obs = result.observation
<span class="hljs-built_in">print</span>(<span class="hljs-string">f&quot;Portfolio: $<span class="hljs-subst">{obs.portfolio_value:,<span class="hljs-number">.2</span>f}</span>&quot;</span>)
<span class="hljs-built_in">print</span>(<span class="hljs-string">f&quot;Date: <span class="hljs-subst">{obs.date}</span>&quot;</span>)
<span class="hljs-built_in">print</span>(<span class="hljs-string">f&quot;State dimension: <span class="hljs-subst">{<span class="hljs-built_in">len</span>(obs.state)}</span>&quot;</span>)`,lang:"python",wrap:!1}}),Tt=new I({props:{title:"Client Methods",local:"client-methods",headingTag:"h3"}}),et=new I({props:{title:"reset() -> StepResult[FinRLObservation]",local:"reset--gt-stepresultfinrlobservation",headingTag:"h4"}}),nt=new r({props:{code:"cmVzdWx0JTIwJTNEJTIwY2xpZW50LnJlc2V0KCk=",highlighted:"result = client.reset()",lang:"python",wrap:!1}}),Mt=new I({props:{title:"step(action: FinRLAction) -> StepResult[FinRLObservation]",local:"stepaction-finrlaction--gt-stepresultfinrlobservation",headingTag:"h4"}}),it=new r({props:{code:"YWN0aW9uJTIwJTNEJTIwRmluUkxBY3Rpb24oYWN0aW9ucyUzRCU1QjAuNSUyQyUyMC0wLjMlNUQpJTBBcmVzdWx0JTIwJTNEJTIwY2xpZW50LnN0ZXAoYWN0aW9uKQ==",highlighted:`action = FinRLAction(actions=[<span class="hljs-number">0.5</span>, -<span class="hljs-number">0.3</span>])
result = client.step(action)`,lang:"python",wrap:!1}}),yt=new I({props:{title:"state() -> State",local:"state--gt-state",headingTag:"h4"}}),Ct=new r({props:{code:"c3RhdGUlMjAlM0QlMjBjbGllbnQuc3RhdGUoKSUwQXByaW50KGYlMjJFcGlzb2RlJTNBJTIwJTdCc3RhdGUuZXBpc29kZV9pZCU3RCUyQyUyMFN0ZXAlM0ElMjAlN0JzdGF0ZS5zdGVwX2NvdW50JTdEJTIyKQ==",highlighted:`state = client.state()
<span class="hljs-built_in">print</span>(<span class="hljs-string">f&quot;Episode: <span class="hljs-subst">{state.episode_id}</span>, Step: <span class="hljs-subst">{state.step_count}</span>&quot;</span>)`,lang:"python",wrap:!1}}),pt=new I({props:{title:"get_config() -> dict",local:"getconfig--gt-dict",headingTag:"h4"}}),rt=new r({props:{code:"Y29uZmlnJTIwJTNEJTIwY2xpZW50LmdldF9jb25maWcoKSUwQXByaW50KGNvbmZpZyU1QidzdG9ja19kaW0nJTVEKSUwQXByaW50KGNvbmZpZyU1Qidpbml0aWFsX2Ftb3VudCclNUQp",highlighted:`config = client.get_config()
<span class="hljs-built_in">print</span>(config[<span class="hljs-string">&#x27;stock_dim&#x27;</span>])
<span class="hljs-built_in">print</span>(config[<span class="hljs-string">&#x27;initial_amount&#x27;</span>])`,lang:"python",wrap:!1}}),ot=new I({props:{title:"Data Format",local:"data-format",headingTag:"h2"}}),ut=new I({props:{title:"Configuration Parameters",local:"configuration-parameters",headingTag:"h2"}}),dt=new I({props:{title:"Integration with RL Frameworks",local:"integration-with-rl-frameworks",headingTag:"h2"}}),ft=new I({props:{title:"Stable Baselines 3",local:"stable-baselines-3",headingTag:"h3"}}),ht=new r({props:{code:"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",highlighted:`<span class="hljs-keyword">from</span> stable_baselines3 <span class="hljs-keyword">import</span> PPO
<span class="hljs-keyword">from</span> envs.finrl_env <span class="hljs-keyword">import</span> FinRLEnv, FinRLAction
<span class="hljs-keyword">import</span> numpy <span class="hljs-keyword">as</span> np

<span class="hljs-comment"># Create custom wrapper for SB3</span>
<span class="hljs-keyword">class</span> <span class="hljs-title class_">SB3FinRLWrapper</span>:
    <span class="hljs-keyword">def</span> <span class="hljs-title function_">__init__</span>(<span class="hljs-params">self, base_url</span>):
        self.env = FinRLEnv(base_url=base_url)
        config = self.env.get_config()
        self.action_space = spaces.Box(
            low=-<span class="hljs-number">1</span>, high=<span class="hljs-number">1</span>,
            shape=(config[<span class="hljs-string">&#x27;action_space&#x27;</span>],),
            dtype=np.float32
        )
        self.observation_space = spaces.Box(
            low=-np.inf, high=np.inf,
            shape=(config[<span class="hljs-string">&#x27;state_space&#x27;</span>],),
            dtype=np.float32
        )

    <span class="hljs-keyword">def</span> <span class="hljs-title function_">reset</span>(<span class="hljs-params">self</span>):
        result = self.env.reset()
        <span class="hljs-keyword">return</span> np.array(result.observation.state, dtype=np.float32)

    <span class="hljs-keyword">def</span> <span class="hljs-title function_">step</span>(<span class="hljs-params">self, action</span>):
        result = self.env.step(FinRLAction(actions=action.tolist()))
        <span class="hljs-keyword">return</span> (
            np.array(result.observation.state, dtype=np.float32),
            result.reward <span class="hljs-keyword">or</span> <span class="hljs-number">0.0</span>,
            result.done,
            result.observation.metadata
        )

<span class="hljs-comment"># Train</span>
env = SB3FinRLWrapper(<span class="hljs-string">&quot;http://localhost:8000&quot;</span>)
model = PPO(<span class="hljs-string">&quot;MlpPolicy&quot;</span>, env, verbose=<span class="hljs-number">1</span>)
model.learn(total_timesteps=<span class="hljs-number">10000</span>)`,lang:"python",wrap:!1}}),$t=new I({props:{title:"Troubleshooting",local:"troubleshooting",headingTag:"h2"}}),bt=new I({props:{title:"Server won’t start",local:"server-wont-start",headingTag:"h3"}}),Nt=new r({props:{code:"ZG9ja2VyJTIwaW1hZ2VzJTIwJTdDJTIwZ3JlcCUyMGVudnRvcmNoLWJhc2U=",highlighted:"docker images | grep envtorch-base",lang:"bash",wrap:!1}}),Vt=new r({props:{code:"ZG9ja2VyJTIwYnVpbGQlMjAtdCUyMGVudnRvcmNoLWJhc2UlM0FsYXRlc3QlMjAtZiUyMHNyYyUyRm9wZW5lbnYlMkZjb3JlJTJGY29udGFpbmVycyUyRmltYWdlcyUyRkRvY2tlcmZpbGUlMjAu",highlighted:"docker build -t envtorch-base:latest -f src/openenv/core/containers/images/Dockerfile .",lang:"bash",wrap:!1}}),vt=new I({props:{title:"Import errors",local:"import-errors",headingTag:"h3"}}),Bt=new r({props:{code:"Y2QlMjBPcGVuRW52JTJGc3JjJTBBcHl0aG9uJTIwLWMlMjAlMjJmcm9tJTIwZW52cy5maW5ybF9lbnYlMjBpbXBvcnQlMjBGaW5STEVudiUyMg==",highlighted:`<span class="hljs-built_in">cd</span> OpenEnv/src
python -c <span class="hljs-string">&quot;from envs.finrl_env import FinRLEnv&quot;</span>`,lang:"bash",wrap:!1}}),Qt=new I({props:{title:"Configuration errors",local:"configuration-errors",headingTag:"h3"}}),Et=new r({props:{code:"aW1wb3J0JTIwcGFuZGFzJTIwYXMlMjBwZCUwQWRmJTIwJTNEJTIwcGQucmVhZF9jc3YoJ3lvdXJfZGF0YS5jc3YnKSUwQXByaW50KGRmLmNvbHVtbnMudG9saXN0KCkp",highlighted:`<span class="hljs-keyword">import</span> pandas <span class="hljs-keyword">as</span> pd
df = pd.read_csv(<span class="hljs-string">&#x27;your_data.csv&#x27;</span>)
<span class="hljs-built_in">print</span>(df.columns.tolist())`,lang:"python",wrap:!1}}),xt=new I({props:{title:"Examples",local:"examples",headingTag:"h2"}}),St=new I({props:{title:"License",local:"license",headingTag:"h2"}}),Yt=new I({props:{title:"References",local:"references",headingTag:"h2"}}),Ot=new gU({props:{source:"https://github.com/huggingface/openenv/blob/main/docs/source/environments/finrl.md"}}),{c(){o=w("meta"),Pt=T(),Xt=w("p"),Kt=T(),s(j.$$.fragment),tl=T(),s(m.$$.fragment),ll=T(),u=w("p"),u.innerHTML=VJ,Jl=T(),s(k.$$.fragment),Ul=T(),d=w("p"),d.textContent=vJ,Tl=T(),f=w("ul"),f.innerHTML=RJ,el=T(),s(h.$$.fragment),sl=T(),s($.$$.fragment),nl=T(),b=w("p"),b.textContent=BJ,Ml=T(),s(A.$$.fragment),al=T(),N=w("p"),N.textContent=QJ,il=T(),s(F.$$.fragment),yl=T(),s(V.$$.fragment),wl=T(),s(v.$$.fragment),Cl=T(),s(R.$$.fragment),pl=T(),B=w("p"),B.textContent=ZJ,Il=T(),s(Q.$$.fragment),rl=T(),Z=w("p"),Z.innerHTML=EJ,ol=T(),s(E.$$.fragment),cl=T(),x=w("p"),x.textContent=xJ,gl=T(),s(G.$$.fragment),jl=T(),s(_.$$.fragment),ml=T(),s(S.$$.fragment),ul=T(),s(W.$$.fragment),kl=T(),s(Y.$$.fragment),dl=T(),s(L.$$.fragment),fl=T(),s(O.$$.fragment),hl=T(),D=w("p"),D.textContent=GJ,$l=T(),z=w("p"),z.innerHTML=_J,bl=T(),X=w("ul"),X.innerHTML=SJ,Al=T(),H=w("p"),H.innerHTML=WJ,Nl=T(),s(q.$$.fragment),Fl=T(),s(P.$$.fragment),Vl=T(),K=w("p"),K.textContent=YJ,vl=T(),tt=w("p"),tt.innerHTML=LJ,Rl=T(),lt=w("ul"),lt.innerHTML=OJ,Bl=T(),Jt=w("p"),Jt.innerHTML=DJ,Ql=T(),s(Ut.$$.fragment),Zl=T(),s(Tt.$$.fragment),El=T(),s(et.$$.fragment),xl=T(),st=w("p"),st.textContent=zJ,Gl=T(),s(nt.$$.fragment),_l=T(),s(Mt.$$.fragment),Sl=T(),at=w("p"),at.textContent=XJ,Wl=T(),s(it.$$.fragment),Yl=T(),s(yt.$$.fragment),Ll=T(),wt=w("p"),wt.textContent=HJ,Ol=T(),s(Ct.$$.fragment),Dl=T(),s(pt.$$.fragment),zl=T(),It=w("p"),It.textContent=qJ,Xl=T(),s(rt.$$.fragment),Hl=T(),s(ot.$$.fragment),ql=T(),ct=w("p"),ct.textContent=PJ,Pl=T(),gt=w("table"),gt.innerHTML=KJ,Kl=T(),jt=w("p"),jt.innerHTML=tU,tJ=T(),mt=w("ul"),mt.innerHTML=lU,lJ=T(),s(ut.$$.fragment),JJ=T(),kt=w("table"),kt.innerHTML=JU,UJ=T(),s(dt.$$.fragment),TJ=T(),s(ft.$$.fragment),eJ=T(),s(ht.$$.fragment),sJ=T(),s($t.$$.fragment),nJ=T(),s(bt.$$.fragment),MJ=T(),c=w("ol"),At=w("li"),Dt=w("p"),Dt.textContent=UU,bJ=T(),s(Nt.$$.fragment),AJ=T(),Ft=w("li"),zt=w("p"),zt.textContent=TU,NJ=T(),s(Vt.$$.fragment),aJ=T(),s(vt.$$.fragment),iJ=T(),Rt=w("p"),Rt.innerHTML=eU,yJ=T(),s(Bt.$$.fragment),wJ=T(),s(Qt.$$.fragment),CJ=T(),Zt=w("p"),Zt.textContent=sU,pJ=T(),s(Et.$$.fragment),IJ=T(),s(xt.$$.fragment),rJ=T(),Gt=w("p"),Gt.innerHTML=nU,oJ=T(),_t=w("ul"),_t.innerHTML=MU,cJ=T(),s(St.$$.fragment),gJ=T(),Wt=w("p"),Wt.textContent=aU,jJ=T(),s(Yt.$$.fragment),mJ=T(),Lt=w("ul"),Lt.innerHTML=iU,uJ=T(),s(Ot.$$.fragment),kJ=T(),Ht=w("p"),this.h()},l(t){const 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