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"# Futures Positioning: CFTC Commitment of Traders Analysis\n",
"\n",
"**Chapter 4: Fundamental and Alternative Data**\n",
"**Docker image**: `ml4t`\n",
"**Section Reference**: See Section 4.3 for cross-asset fundamentals concepts\n",
"\n",
"## Purpose\n",
"\n",
"This notebook demonstrates how to access CFTC Commitment of Traders (COT) data\n",
"for tracking institutional positioning in futures markets. COT reports provide\n",
"weekly snapshots of trader positioning, offering valuable sentiment signals for\n",
"futures trading strategies and contrarian indicators.\n",
"\n",
"## Learning Objectives\n",
"\n",
"After completing this notebook, you will be able to:\n",
"- Understand COT report structure and trader categories\n",
"- Fetch COT data for futures products using ml4t-data\n",
"- Calculate net positioning and z-scores\n",
"- Identify extreme positioning for contrarian signals\n",
"- Combine COT with price data for strategy features\n",
"\n",
"## Cross-References\n",
"\n",
"- **Upstream**: `data/futures/positioning/cot_download.py` (CFTC COT reports, weekly, free)\n",
"- **Downstream**: Chapter 8 `futures_features.py`, Chapter 16 futures strategies\n",
"- **Related**: `macro_data_alignment.py` (macro timing signals)\n",
"\n",
"## Why COT Data Matters\n",
"\n",
"COT data is **free** and provides unique insight into:\n",
"- **Institutional positioning**: What are hedge funds/asset managers doing?\n",
"- **Commercial hedging**: Are producers/consumers unusual in their hedging?\n",
"- **Crowd behavior**: Are speculators too extreme (contrarian signal)?\n",
"\n",
"---"
]
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"\"\"\"Futures Positioning: CFTC Commitment of Traders Analysis — track institutional positioning for contrarian signals.\"\"\"\n",
"\n",
"import warnings\n",
"\n",
"warnings.filterwarnings(\"ignore\")\n",
"\n",
"\n",
"# Visualization\n",
"import plotly.graph_objects as go\n",
"import polars as pl\n",
"from plotly.subplots import make_subplots\n",
"\n",
"from utils.style import COLORS"
]
},
{
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"tags": [
"parameters"
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"source": [
"# Production defaults — Papermill injects overrides for CI"
]
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"def keep_largest_contract(df: pl.DataFrame) -> pl.DataFrame:\n",
" \"\"\"Drop duplicate (product, report_date) rows.\n",
"\n",
" The CFTC publishes both 'Futures Only' and 'Combined Futures+Options'\n",
" panels for each product; the bulk downloader writes both into the\n",
" same parquet, leaving two rows per report_date. The combined panel\n",
" has materially larger open interest and is the canonical series used\n",
" for positioning analysis — keep that one.\n",
" \"\"\"\n",
" return (\n",
" df.sort([\"product\", \"report_date\", \"open_interest\"], descending=[False, False, True])\n",
" .unique(subset=[\"product\", \"report_date\"], keep=\"first\")\n",
" .sort(\"report_date\")\n",
" )"
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"source": [
"---\n",
"\n",
"## Section 1: Understanding COT Reports\n",
"\n",
"The CFTC publishes weekly COT reports, showing positions as of Tuesday. Reports are\n",
"generally released Friday at **3:30 PM ET** (with holiday delays). For daily-bar\n",
"backtests, a conservative approach is to treat the information as usable from the\n",
"next trading day (+6 calendar days from Tuesday).\n",
"\n",
"There are two main report formats relevant for trading:\n",
"\n",
"### Report Types\n",
"\n",
"| Report | Coverage | Key Categories |\n",
"|--------|----------|----------------|\n",
"| **TFF** (Traders in Financial Futures) | Financial futures | Dealers, Asset Managers, Leveraged Money |\n",
"| **Disaggregated** | Commodity futures | Commercials, Managed Money, Swap Dealers |\n",
"\n",
"### Trader Categories\n",
"\n",
"**Financial Futures (TFF):**\n",
"- **Dealers/Intermediaries**: Banks, swap dealers (market makers)\n",
"- **Asset Managers**: Pension funds, mutual funds (institutional)\n",
"- **Leveraged Money**: Hedge funds, CTAs (speculators)\n",
"- **Other Reportables**: Other large traders\n",
"- **Non-Reportables**: Small traders (retail)\n",
"\n",
"**Commodity Futures (Disaggregated):**\n",
"- **Commercials (Producer/Merchant)**: Physical commodity hedgers\n",
"- **Swap Dealers**: Financial intermediaries\n",
"- **Managed Money**: Hedge funds, CTAs\n",
"- **Other Reportables**: Other large traders\n",
"\n",
"### Key Insight\n",
"\n",
"**Commercials** hedge their physical exposure (informed), while **Speculators**\n",
"(Leveraged Money, Managed Money) bet on direction. Extreme speculator positioning\n",
"often precedes reversals."
]
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"source": [
"---\n",
"\n",
"## Section 2: ml4t-data COT Module"
]
},
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"outputs": [
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"name": "stdout",
"output_type": "stream",
"text": [
"Supported products: 36\n"
]
}
],
"source": [
"from ml4t.data.cot import PRODUCT_MAPPINGS\n",
"\n",
"from data.futures.loader import load_cot\n",
"\n",
"print(f\"Supported products: {len(PRODUCT_MAPPINGS)}\")"
]
},
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"text": [
"Equity Index:\n",
" ES E-mini S&P 500 (trad)\n",
" NQ E-mini NASDAQ-100 (trad)\n",
" RTY E-mini Russell 2000 (trad)\n",
" YM E-mini Dow Jones (trad)\n",
"\n",
"Currency:\n",
" 6E Euro FX (trad)\n",
" 6J Japanese Yen (trad)\n",
" 6B British Pound (trad)\n",
" 6C Canadian Dollar (trad)\n",
" 6A Australian Dollar (trad)\n",
"\n",
"Interest Rate:\n",
" ZN 10-Year T-Note (trad)\n",
" ZB 30-Year T-Bond (trad)\n",
" ZF 5-Year T-Note (trad)\n",
" ZT 2-Year T-Note (trad)\n",
"\n",
"Energy:\n",
" CL WTI Crude Oil (disa)\n",
" NG Natural Gas (disa)\n",
" RB RBOB Gasoline (disa)\n",
" HO Heating Oil (disa)\n",
"\n",
"Metals:\n",
" GC Gold (disa)\n",
" SI Silver (disa)\n",
" HG Copper (disa)\n",
" PL Platinum (disa)\n",
"\n",
"Agricultural:\n",
" ZC Corn (disa)\n",
" ZW Wheat (SRW) (disa)\n",
" ZS Soybeans (disa)\n",
" ZM Soybean Meal (disa)\n",
" ZL Soybean Oil (disa)\n",
"\n",
"Crypto:\n",
" BTC Bitcoin (trad)\n",
" ETH Ether (trad)\n",
"\n",
"Volatility:\n",
" VX VIX Futures (trad)\n",
"\n"
]
}
],
"source": [
"categories = {\n",
" \"Equity Index\": [\"ES\", \"NQ\", \"RTY\", \"YM\"],\n",
" \"Currency\": [\"6E\", \"6J\", \"6B\", \"6C\", \"6A\"],\n",
" \"Interest Rate\": [\"ZN\", \"ZB\", \"ZF\", \"ZT\"],\n",
" \"Energy\": [\"CL\", \"NG\", \"RB\", \"HO\"],\n",
" \"Metals\": [\"GC\", \"SI\", \"HG\", \"PL\"],\n",
" \"Agricultural\": [\"ZC\", \"ZW\", \"ZS\", \"ZM\", \"ZL\"],\n",
" \"Crypto\": [\"BTC\", \"ETH\"],\n",
" \"Volatility\": [\"VX\"],\n",
"}\n",
"\n",
"for category, products in categories.items():\n",
" available = [p for p in products if p in PRODUCT_MAPPINGS]\n",
" print(f\"{category}:\")\n",
" for p in available:\n",
" info = PRODUCT_MAPPINGS[p]\n",
" print(f\" {p:5} {info.description} ({info.report_type[:4]})\")\n",
" print()"
]
},
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"source": [
"---\n",
"\n",
"## Section 3: Loading COT Data\n",
"\n",
"COT data is downloaded by ``data/futures/positioning/cot_download.py`` into\n",
"``$ML4T_DATA_PATH/futures/positioning/cot/{PRODUCT}.parquet`` and loaded here via\n",
"``load_cot()``."
]
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"Shape: (261, 29)\n",
"Date range: 2020-01-07 to 2024-12-31\n",
"Columns: ['report_date', 'open_interest', 'dealer_long', 'dealer_short', 'dealer_spread', 'asset_mgr_long', 'asset_mgr_short', 'asset_mgr_spread', 'lev_money_long', 'lev_money_short', 'lev_money_spread', 'other_rept_long', 'other_rept_short', 'other_rept_spread', 'nonrept_long', 'nonrept_short', 'oi_change', 'dealer_long_change', 'dealer_short_change', 'asset_mgr_long_change', 'asset_mgr_short_change', 'lev_money_long_change', 'lev_money_short_change', 'product', 'report_type', 'dealer_net', 'asset_mgr_net', 'lev_money_net', 'nonrept_net']\n"
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"│ 2020-02-0 ┆ 2697443 ┆ 164104 ┆ 948131 ┆ … ┆ -784027 ┆ 1057760 ┆ -219482 ┆ 34859 │\n",
"│ 4 ┆ ┆ ┆ ┆ ┆ ┆ ┆ ┆ │\n",
"└───────────┴───────────┴───────────┴───────────┴───┴───────────┴───────────┴───────────┴──────────┘"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"es_cot = keep_largest_contract(\n",
" load_cot(products=[\"ES\"], start_date=\"2020-01-01\", end_date=\"2024-12-31\")\n",
")\n",
"\n",
"print(f\"Shape: {es_cot.shape}\")\n",
"print(f\"Date range: {es_cot['report_date'].min()} to {es_cot['report_date'].max()}\")\n",
"print(f\"Columns: {es_cot.columns}\")\n",
"es_cot.head()"
]
},
{
"cell_type": "markdown",
"id": "3e60c01e",
"metadata": {
"papermill": {
"duration": 0.001629,
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"status": "completed"
}
},
"source": [
"### COT Data Columns\n",
"\n",
"| Column | Description | Signal |\n",
"|--------|-------------|--------|\n",
"| `open_interest` | Total contracts outstanding | Liquidity, conviction |\n",
"| `lev_money_long` | Hedge fund long positions | Speculator sentiment |\n",
"| `lev_money_short` | Hedge fund short positions | Speculator sentiment |\n",
"| `lev_money_net` | Long - Short | Net speculator positioning |\n",
"| `asset_mgr_net` | Asset manager net | Institutional positioning |\n",
"| `dealer_net` | Dealer net | Market maker flow |"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "b15af4d9",
"metadata": {
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},
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"status": "completed"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Shape: (261, 26)\n",
"Columns (note different categories): ['report_date', 'open_interest', 'commercial_long', 'commercial_short', 'swap_long', 'swap_short', 'swap_spread', 'managed_money_long', 'managed_money_short', 'managed_money_spread', 'other_rept_long', 'other_rept_short', 'other_rept_spread', 'nonrept_long', 'nonrept_short', 'oi_change', 'commercial_long_change', 'commercial_short_change', 'managed_money_long_change', 'managed_money_short_change', 'product', 'report_type', 'commercial_net', 'managed_money_net', 'nonrept_net', 'lev_money_net']\n"
]
},
{
"data": {
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".dataframe > thead > tr,\n",
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"</style>\n",
"<small>shape: (5, 26)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>report_date</th><th>open_interest</th><th>commercial_long</th><th>commercial_short</th><th>swap_long</th><th>swap_short</th><th>swap_spread</th><th>managed_money_long</th><th>managed_money_short</th><th>managed_money_spread</th><th>other_rept_long</th><th>other_rept_short</th><th>other_rept_spread</th><th>nonrept_long</th><th>nonrept_short</th><th>oi_change</th><th>commercial_long_change</th><th>commercial_short_change</th><th>managed_money_long_change</th><th>managed_money_short_change</th><th>product</th><th>report_type</th><th>commercial_net</th><th>managed_money_net</th><th>nonrept_net</th><th>lev_money_net</th></tr><tr><td>date</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>str</td><td>str</td><td>str</td><td>str</td><td>str</td><td>str</td><td>str</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td></tr></thead><tbody><tr><td>2020-01-07</td><td>2244930</td><td>427802</td><td>454860</td><td>138350</td><td>709217</td><td>163954</td><td>340235</td><td>29708</td><td>551407</td><td>298774</td><td>42029</td><td>225524</td><td>98884</td><td>68231</td><td>&quot;&nbsp;&nbsp;&nbsp;99363&quot;</td><td>&quot;&nbsp;&nbsp;&nbsp;19988&quot;</td><td>&quot;&nbsp;&nbsp;&nbsp;22602&quot;</td><td>&quot;&nbsp;&nbsp;&nbsp;&nbsp;8873&quot;</td><td>&quot;&nbsp;&nbsp;&nbsp;&nbsp;-876&quot;</td><td>&quot;CL&quot;</td><td>&quot;disaggregated_fut&quot;</td><td>-27058</td><td>310527</td><td>30653</td><td>310527</td></tr><tr><td>2020-01-14</td><td>2215893</td><td>394095</td><td>395926</td><td>138293</td><td>700794</td><td>155052</td><td>285931</td><td>48882</td><td>603210</td><td>324513</td><td>31250</td><td>222744</td><td>92055</td><td>58035</td><td>&quot;&nbsp;&nbsp;-29037&quot;</td><td>&quot;&nbsp;&nbsp;-33707&quot;</td><td>&quot;&nbsp;&nbsp;-58934&quot;</td><td>&quot;&nbsp;&nbsp;-54304&quot;</td><td>&quot;&nbsp;&nbsp;&nbsp;19174&quot;</td><td>&quot;CL&quot;</td><td>&quot;disaggregated_fut&quot;</td><td>-1831</td><td>237049</td><td>34020</td><td>237049</td></tr><tr><td>2020-01-21</td><td>2146832</td><td>372657</td><td>369076</td><td>137850</td><td>690907</td><td>149484</td><td>291872</td><td>48176</td><td>580595</td><td>307356</td><td>30484</td><td>224674</td><td>82344</td><td>53436</td><td>&quot;&nbsp;&nbsp;-69061&quot;</td><td>&quot;&nbsp;&nbsp;-21438&quot;</td><td>&quot;&nbsp;&nbsp;-26850&quot;</td><td>&quot;&nbsp;&nbsp;&nbsp;&nbsp;5941&quot;</td><td>&quot;&nbsp;&nbsp;&nbsp;&nbsp;-706&quot;</td><td>&quot;CL&quot;</td><td>&quot;disaggregated_fut&quot;</td><td>3581</td><td>243696</td><td>28908</td><td>243696</td></tr><tr><td>2020-01-28</td><td>2172019</td><td>363255</td><td>354371</td><td>139223</td><td>634242</td><td>174783</td><td>264171</td><td>85712</td><td>594978</td><td>324084</td><td>40781</td><td>225605</td><td>85920</td><td>61547</td><td>&quot;&nbsp;&nbsp;&nbsp;25187&quot;</td><td>&quot;&nbsp;&nbsp;&nbsp;-9402&quot;</td><td>&quot;&nbsp;&nbsp;-14705&quot;</td><td>&quot;&nbsp;&nbsp;-27701&quot;</td><td>&quot;&nbsp;&nbsp;&nbsp;37536&quot;</td><td>&quot;CL&quot;</td><td>&quot;disaggregated_fut&quot;</td><td>8884</td><td>178459</td><td>24373</td><td>178459</td></tr><tr><td>2020-02-04</td><td>2271741</td><td>445078</td><td>420616</td><td>141180</td><td>590768</td><td>198733</td><td>249960</td><td>123251</td><td>570742</td><td>326957</td><td>56292</td><td>247095</td><td>91996</td><td>64244</td><td>&quot;&nbsp;&nbsp;&nbsp;99722&quot;</td><td>&quot;&nbsp;&nbsp;&nbsp;81823&quot;</td><td>&quot;&nbsp;&nbsp;&nbsp;66245&quot;</td><td>&quot;&nbsp;&nbsp;-14211&quot;</td><td>&quot;&nbsp;&nbsp;&nbsp;37539&quot;</td><td>&quot;CL&quot;</td><td>&quot;disaggregated_fut&quot;</td><td>24462</td><td>126709</td><td>27752</td><td>126709</td></tr></tbody></table></div>"
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"shape: (5, 26)\n",
"┌───────────┬───────────┬───────────┬───────────┬───┬───────────┬───────────┬───────────┬──────────┐\n",
"│ report_da ┆ open_inte ┆ commercia ┆ commercia ┆ … ┆ commercia ┆ managed_m ┆ nonrept_n ┆ lev_mone │\n",
"│ te ┆ rest ┆ l_long ┆ l_short ┆ ┆ l_net ┆ oney_net ┆ et ┆ y_net │\n",
"│ --- ┆ --- ┆ --- ┆ --- ┆ ┆ --- ┆ --- ┆ --- ┆ --- │\n",
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"│ 4 ┆ ┆ ┆ ┆ ┆ ┆ ┆ ┆ │\n",
"│ 2020-01-2 ┆ 2146832 ┆ 372657 ┆ 369076 ┆ … ┆ 3581 ┆ 243696 ┆ 28908 ┆ 243696 │\n",
"│ 1 ┆ ┆ ┆ ┆ ┆ ┆ ┆ ┆ │\n",
"│ 2020-01-2 ┆ 2172019 ┆ 363255 ┆ 354371 ┆ … ┆ 8884 ┆ 178459 ┆ 24373 ┆ 178459 │\n",
"│ 8 ┆ ┆ ┆ ┆ ┆ ┆ ┆ ┆ │\n",
"│ 2020-02-0 ┆ 2271741 ┆ 445078 ┆ 420616 ┆ … ┆ 24462 ┆ 126709 ┆ 27752 ┆ 126709 │\n",
"│ 4 ┆ ┆ ┆ ┆ ┆ ┆ ┆ ┆ │\n",
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]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"cl_cot = keep_largest_contract(\n",
" load_cot(products=[\"CL\"], start_date=\"2020-01-01\", end_date=\"2024-12-31\")\n",
")\n",
"# Disaggregated reports use `managed_money_*` instead of `lev_money_*`;\n",
"# standardize for downstream analysis.\n",
"cl_cot = cl_cot.with_columns(pl.col(\"managed_money_net\").alias(\"lev_money_net\"))\n",
"\n",
"print(f\"Shape: {cl_cot.shape}\")\n",
"print(f\"Columns (note different categories): {cl_cot.columns}\")\n",
"cl_cot.head()"
]
},
{
"cell_type": "markdown",
"id": "8c6d486f",
"metadata": {
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"status": "completed"
}
},
"source": [
"---\n",
"\n",
"## Section 4: Positioning Analysis\n",
"\n",
"Calculate z-scores to identify extreme positioning."
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "e9eb5dd3",
"metadata": {
"execution": {
"iopub.execute_input": "2026-06-13T03:10:56.389140Z",
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},
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"status": "completed"
}
},
"outputs": [],
"source": [
"def calculate_positioning_zscore(\n",
" df: pl.DataFrame,\n",
" net_column: str,\n",
" window: int = 52, # 1 year of weekly data\n",
") -> pl.DataFrame:\n",
" \"\"\"\n",
" Calculate z-score of net positioning.\n",
"\n",
" Z-scores help identify when positioning is extreme relative to history:\n",
" - Z > 2: Very bullish (potentially overbought)\n",
" - Z < -2: Very bearish (potentially oversold)\n",
" \"\"\"\n",
" return df.with_columns(\n",
" [\n",
" pl.col(net_column).rolling_mean(window).alias(f\"{net_column}_mean\"),\n",
" pl.col(net_column).rolling_std(window).alias(f\"{net_column}_std\"),\n",
" ]\n",
" ).with_columns(\n",
" [\n",
" # Z-score with guard against zero std\n",
" pl.when(pl.col(f\"{net_column}_std\") > 0)\n",
" .then((pl.col(net_column) - pl.col(f\"{net_column}_mean\")) / pl.col(f\"{net_column}_std\"))\n",
" .otherwise(0.0)\n",
" .alias(f\"{net_column}_zscore\"),\n",
" ]\n",
" )"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "8cb01f87",
"metadata": {
"execution": {
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"status": "completed"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Extreme Long readings (z > 2): 11\n",
"Extreme Short readings (z < -2): 8\n"
]
},
{
"data": {
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"</style>\n",
"<small>shape: (10, 3)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>report_date</th><th>lev_money_net</th><th>lev_money_net_zscore</th></tr><tr><td>date</td><td>i64</td><td>f64</td></tr></thead><tbody><tr><td>2024-10-29</td><td>-289253</td><td>0.601611</td></tr><tr><td>2024-11-05</td><td>-189359</td><td>2.015941</td></tr><tr><td>2024-11-12</td><td>-274313</td><td>0.768468</td></tr><tr><td>2024-11-19</td><td>-251531</td><td>1.07149</td></tr><tr><td>2024-11-26</td><td>-304923</td><td>0.298866</td></tr><tr><td>2024-12-03</td><td>-359412</td><td>-0.482887</td></tr><tr><td>2024-12-10</td><td>-296652</td><td>0.400647</td></tr><tr><td>2024-12-17</td><td>-256167</td><td>0.96095</td></tr><tr><td>2024-12-24</td><td>-331703</td><td>-0.123874</td></tr><tr><td>2024-12-31</td><td>-324607</td><td>-0.040697</td></tr></tbody></table></div>"
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"text/plain": [
"shape: (10, 3)\n",
"┌─────────────┬───────────────┬──────────────────────┐\n",
"│ report_date ┆ lev_money_net ┆ lev_money_net_zscore │\n",
"│ --- ┆ --- ┆ --- │\n",
"│ date ┆ i64 ┆ f64 │\n",
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"│ 2024-10-29 ┆ -289253 ┆ 0.601611 │\n",
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"│ 2024-11-26 ┆ -304923 ┆ 0.298866 │\n",
"│ 2024-12-03 ┆ -359412 ┆ -0.482887 │\n",
"│ 2024-12-10 ┆ -296652 ┆ 0.400647 │\n",
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]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"es_with_zscore = calculate_positioning_zscore(es_cot, \"lev_money_net\")\n",
"\n",
"extreme_long = es_with_zscore.filter(pl.col(\"lev_money_net_zscore\") > 2)\n",
"extreme_short = es_with_zscore.filter(pl.col(\"lev_money_net_zscore\") < -2)\n",
"\n",
"print(f\"Extreme Long readings (z > 2): {len(extreme_long)}\")\n",
"print(f\"Extreme Short readings (z < -2): {len(extreme_short)}\")\n",
"es_with_zscore.select([\"report_date\", \"lev_money_net\", \"lev_money_net_zscore\"]).tail(10)"
]
},
{
"cell_type": "markdown",
"id": "5f4b5445",
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}
},
"source": [
"---\n",
"\n",
"## Section 5: Visualizing Positioning"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "671f3f90",
"metadata": {
"execution": {
"iopub.execute_input": "2026-06-13T03:10:56.406629Z",
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"status": "completed"
}
},
"outputs": [],
"source": [
"# Visualize leveraged money positioning\n",
"es_pd = es_with_zscore.to_pandas()"
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "6f15fb55",
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}
},
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{
"name": "stderr",
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".venv/lib/python3.14/site-packages/plotly/io/_base_renderers.py:123: DeprecationWarning: \n",
"Support for Kaleido versions less than 1.0.0 is deprecated and will be removed after September 2025.\n",
"Please upgrade Kaleido to version 1.0.0 or greater (`pip install 'kaleido>=1.0.0'` or `pip install 'plotly[kaleido]'`).\n",
"\n",
" image_bytes = to_image(\n",
".venv/lib/python3.14/site-packages/kaleido/scopes/base.py:188: DeprecationWarning: setDaemon() is deprecated, set the daemon attribute instead\n",
" self._std_error_thread.setDaemon(True)\n"
]
},
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"standoff": 15
},
"zerolinecolor": "#EBF0F8",
"zerolinewidth": 2
}
}
},
"title": {
"text": "ES Leveraged Money: Net Positioning and 52-Week Z-Score"
},
"xaxis": {
"anchor": "y",
"domain": [
0.0,
1.0
]
},
"xaxis2": {
"anchor": "y2",
"domain": [
0.0,
1.0
]
},
"yaxis": {
"anchor": "x",
"domain": [
0.47200000000000003,
1.0
],
"title": {
"text": "Net Contracts"
}
},
"yaxis2": {
"anchor": "x2",
"domain": [
0.0,
0.35200000000000004
],
"title": {
"text": "Z-Score"
}
}
}
},
"image/png": 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"
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Build both panels in a SINGLE cell (feedback_split_cell_figure_bug):\n",
"# splitting the figure across cells produced a top-panel-only intermediate.\n",
"fig = make_subplots(\n",
" rows=2,\n",
" cols=1,\n",
" subplot_titles=(\n",
" \"E-mini S&P 500: Leveraged Money Net Positioning\",\n",
" \"Positioning Z-Score (52-week rolling)\",\n",
" ),\n",
" row_heights=[0.6, 0.4],\n",
" vertical_spacing=0.12,\n",
")\n",
"\n",
"# Net positioning\n",
"fig.add_trace(\n",
" go.Scatter(\n",
" x=es_pd[\"report_date\"],\n",
" y=es_pd[\"lev_money_net\"],\n",
" mode=\"lines\",\n",
" name=\"Lev Money Net\",\n",
" line=dict(color=COLORS[\"blue\"], width=1.5),\n",
" fill=\"tozeroy\",\n",
" fillcolor=\"rgba(46, 64, 87, 0.3)\",\n",
" ),\n",
" row=1,\n",
" col=1,\n",
")\n",
"\n",
"# Zero line\n",
"fig.add_hline(y=0, line_dash=\"dash\", line_color=COLORS[\"neutral\"], row=1, col=1)\n",
"\n",
"# Z-score with color bands\n",
"fig.add_trace(\n",
" go.Scatter(\n",
" x=es_pd[\"report_date\"],\n",
" y=es_pd[\"lev_money_net_zscore\"],\n",
" mode=\"lines\",\n",
" name=\"Z-Score\",\n",
" line=dict(color=COLORS[\"slate\"], width=2),\n",
" ),\n",
" row=2,\n",
" col=1,\n",
")\n",
"\n",
"# Add shaded extreme zones\n",
"fig.add_hrect(y0=2, y1=4, fillcolor=COLORS[\"negative\"], opacity=0.1, row=2, col=1)\n",
"fig.add_hrect(y0=-4, y1=-2, fillcolor=COLORS[\"positive\"], opacity=0.1, row=2, col=1)\n",
"\n",
"# Extreme thresholds\n",
"fig.add_hline(y=2, line_dash=\"dot\", line_color=COLORS[\"negative\"], row=2, col=1)\n",
"fig.add_hline(y=-2, line_dash=\"dot\", line_color=COLORS[\"positive\"], row=2, col=1)\n",
"fig.add_hline(y=0, line_dash=\"dash\", line_color=COLORS[\"neutral\"], row=2, col=1)\n",
"\n",
"fig.update_layout(\n",
" height=600,\n",
" title=\"ES Leveraged Money: Net Positioning and 52-Week Z-Score\",\n",
" template=\"plotly_white\",\n",
" showlegend=True,\n",
" legend=dict(orientation=\"h\", yanchor=\"bottom\", y=1.02, xanchor=\"right\", x=1),\n",
")\n",
"fig.update_yaxes(title_text=\"Net Contracts\", row=1, col=1)\n",
"fig.update_yaxes(title_text=\"Z-Score\", row=2, col=1)\n",
"fig.show()"
]
},
{
"cell_type": "markdown",
"id": "563c7a35",
"metadata": {
"lines_to_next_cell": 2,
"papermill": {
"duration": 0.004197,
"end_time": "2026-06-13T03:10:57.303103+00:00",
"exception": false,
"start_time": "2026-06-13T03:10:57.298906+00:00",
"status": "completed"
}
},
"source": [
"---\n",
"\n",
"## Section 6: COT-Based Trading Signals\n",
"\n",
"COT data can generate several types of signals:\n",
"\n",
"### Signal Types\n",
"\n",
"| Signal | Description | Typical Use |\n",
"|--------|-------------|-------------|\n",
"| **Contrarian** | Fade extreme positioning | Z-score > 2 = sell signal |\n",
"| **Momentum** | Follow smart money | Commercials positioning |\n",
"| **Divergence** | Commercial vs Speculator | When they disagree |\n",
"| **Extreme Change** | Rapid positioning shift | Large weekly change |"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "6b355718",
"metadata": {
"execution": {
"iopub.execute_input": "2026-06-13T03:10:57.312748Z",
"iopub.status.busy": "2026-06-13T03:10:57.312578Z",
"iopub.status.idle": "2026-06-13T03:10:57.315833Z",
"shell.execute_reply": "2026-06-13T03:10:57.315248Z"
},
"lines_to_next_cell": 2,
"papermill": {
"duration": 0.008275,
"end_time": "2026-06-13T03:10:57.316250+00:00",
"exception": false,
"start_time": "2026-06-13T03:10:57.307975+00:00",
"status": "completed"
}
},
"outputs": [],
"source": [
"def add_pit_available_date(df: pl.DataFrame, report_date_col: str = \"report_date\") -> pl.DataFrame:\n",
" \"\"\"\n",
" Add a conservative point-in-time availability date for COT.\n",
"\n",
" COT positions are as of Tuesday and are generally released Friday at 3:30 PM ET,\n",
" with holiday delays. For daily-bar backtests, a conservative approximation is to\n",
" treat the data as available on the next business day after the release week.\n",
"\n",
" If you model intraday timestamps, store a datetime availability timestamp instead.\n",
"\n",
" Args:\n",
" df: DataFrame with report_date column\n",
" report_date_col: Name of the report date column\n",
"\n",
" Returns:\n",
" DataFrame with available_date column added\n",
" \"\"\"\n",
" return df.with_columns(\n",
" # Conservative: Tuesday -> next Monday (+6 days) ensures we never use Friday same-day.\n",
" # Adjust this policy based on your backtest timestamp resolution.\n",
" (pl.col(report_date_col) + pl.duration(days=6)).alias(\"available_date\")\n",
" )"
]
},
{
"cell_type": "markdown",
"id": "9ab3bf8a",
"metadata": {
"lines_to_next_cell": 2,
"papermill": {
"duration": 0.005386,
"end_time": "2026-06-13T03:10:57.326967+00:00",
"exception": false,
"start_time": "2026-06-13T03:10:57.321581+00:00",
"status": "completed"
}
},
"source": [
"### Generate COT-Based Signals\n",
"Compute contrarian and large-change signals from speculator positioning z-scores."
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "4e04d194",
"metadata": {
"execution": {
"iopub.execute_input": "2026-06-13T03:10:57.339075Z",
"iopub.status.busy": "2026-06-13T03:10:57.338839Z",
"iopub.status.idle": "2026-06-13T03:10:57.343870Z",
"shell.execute_reply": "2026-06-13T03:10:57.343305Z"
},
"papermill": {
"duration": 0.012177,
"end_time": "2026-06-13T03:10:57.344585+00:00",
"exception": false,
"start_time": "2026-06-13T03:10:57.332408+00:00",
"status": "completed"
}
},
"outputs": [],
"source": [
"def generate_cot_signals(df: pl.DataFrame, speculator_net: str = \"lev_money_net\") -> pl.DataFrame:\n",
" \"\"\"\n",
" Generate COT-based trading signals.\n",
"\n",
" Note: For backtesting, use available_date (not report_date) to avoid lookahead bias.\n",
" \"\"\"\n",
" # Add PIT-correct available_date\n",
" df = add_pit_available_date(df)\n",
"\n",
" # Calculate z-score\n",
" df = calculate_positioning_zscore(df, speculator_net)\n",
"\n",
" # Generate signals\n",
" return df.with_columns(\n",
" [\n",
" # Contrarian signal: extreme positioning suggests reversal\n",
" pl.when(pl.col(f\"{speculator_net}_zscore\") > 2)\n",
" .then(pl.lit(-1))\n",
" .when(pl.col(f\"{speculator_net}_zscore\") < -2)\n",
" .then(pl.lit(1))\n",
" .otherwise(pl.lit(0))\n",
" .alias(\"contrarian_signal\"),\n",
" # Week-over-week positioning change\n",
" pl.col(speculator_net).diff().alias(f\"{speculator_net}_change\"),\n",
" ]\n",
" ).with_columns(\n",
" [\n",
" # Large change signal (>1 std dev of changes)\n",
" pl.when(\n",
" pl.col(f\"{speculator_net}_change\")\n",
" > pl.col(f\"{speculator_net}_change\").rolling_std(26)\n",
" )\n",
" .then(pl.lit(1))\n",
" .when(\n",
" pl.col(f\"{speculator_net}_change\")\n",
" < -pl.col(f\"{speculator_net}_change\").rolling_std(26)\n",
" )\n",
" .then(pl.lit(-1))\n",
" .otherwise(pl.lit(0))\n",
" .alias(\"large_change_signal\"),\n",
" ]\n",
" )"
]
},
{
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{
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"<small>shape: (3, 2)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>contrarian_signal</th><th>len</th></tr><tr><td>i32</td><td>u32</td></tr></thead><tbody><tr><td>-1</td><td>11</td></tr><tr><td>0</td><td>242</td></tr><tr><td>1</td><td>8</td></tr></tbody></table></div>"
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"shape: (3, 2)\n",
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],
"source": [
"es_signals = generate_cot_signals(es_cot)\n",
"contrarian_counts = es_signals.group_by(\"contrarian_signal\").len().sort(\"contrarian_signal\")\n",
"contrarian_counts"
]
},
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"source": [
"Recent signals — for backtesting always join on `available_date` (+6 days), not the\n",
"Tuesday `report_date`, so signals never use information published after the bar."
]
},
{
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"</style>\n",
"<small>shape: (10, 6)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>report_date</th><th>available_date</th><th>lev_money_net</th><th>lev_money_net_zscore</th><th>contrarian_signal</th><th>large_change_signal</th></tr><tr><td>date</td><td>date</td><td>i64</td><td>f64</td><td>i32</td><td>i32</td></tr></thead><tbody><tr><td>2024-10-29</td><td>2024-11-04</td><td>-289253</td><td>0.601611</td><td>0</td><td>0</td></tr><tr><td>2024-11-05</td><td>2024-11-11</td><td>-189359</td><td>2.015941</td><td>-1</td><td>1</td></tr><tr><td>2024-11-12</td><td>2024-11-18</td><td>-274313</td><td>0.768468</td><td>0</td><td>-1</td></tr><tr><td>2024-11-19</td><td>2024-11-25</td><td>-251531</td><td>1.07149</td><td>0</td><td>0</td></tr><tr><td>2024-11-26</td><td>2024-12-02</td><td>-304923</td><td>0.298866</td><td>0</td><td>-1</td></tr><tr><td>2024-12-03</td><td>2024-12-09</td><td>-359412</td><td>-0.482887</td><td>0</td><td>-1</td></tr><tr><td>2024-12-10</td><td>2024-12-16</td><td>-296652</td><td>0.400647</td><td>0</td><td>1</td></tr><tr><td>2024-12-17</td><td>2024-12-23</td><td>-256167</td><td>0.96095</td><td>0</td><td>0</td></tr><tr><td>2024-12-24</td><td>2024-12-30</td><td>-331703</td><td>-0.123874</td><td>0</td><td>-1</td></tr><tr><td>2024-12-31</td><td>2025-01-06</td><td>-324607</td><td>-0.040697</td><td>0</td><td>0</td></tr></tbody></table></div>"
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"shape: (10, 6)\n",
"┌─────────────┬────────────────┬───────────────┬─────────────────┬────────────────┬────────────────┐\n",
"│ report_date ┆ available_date ┆ lev_money_net ┆ lev_money_net_z ┆ contrarian_sig ┆ large_change_s │\n",
"│ --- ┆ --- ┆ --- ┆ score ┆ nal ┆ ignal │\n",
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},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"es_signals.select(\n",
" [\n",
" \"report_date\",\n",
" \"available_date\",\n",
" \"lev_money_net\",\n",
" \"lev_money_net_zscore\",\n",
" \"contrarian_signal\",\n",
" \"large_change_signal\",\n",
" ]\n",
").tail(10)"
]
},
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},
"source": [
"---\n",
"\n",
"## Section 6.1: Multi-Product Positioning Comparison\n",
"\n",
"Comparing positioning across products reveals cross-asset sentiment."
]
},
{
"cell_type": "code",
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"id": "87e4f516",
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"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Shape: (261, 26)\n"
]
}
],
"source": [
"gc_cot = keep_largest_contract(\n",
" load_cot(products=[\"GC\"], start_date=\"2020-01-01\", end_date=\"2024-12-31\")\n",
")\n",
"gc_cot = gc_cot.with_columns(pl.col(\"managed_money_net\").alias(\"lev_money_net\"))\n",
"print(f\"Shape: {gc_cot.shape}\")\n",
"\n",
"# Calculate z-scores for all products\n",
"es_z = calculate_positioning_zscore(es_cot, \"lev_money_net\")\n",
"cl_z = calculate_positioning_zscore(cl_cot, \"lev_money_net\")\n",
"gc_z = calculate_positioning_zscore(gc_cot, \"lev_money_net\")"
]
},
{
"cell_type": "code",
"execution_count": 17,
"id": "16e06a08",
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},
"outputs": [],
"source": [
"# Create multi-product comparison\n",
"fig = make_subplots(\n",
" rows=3,\n",
" cols=1,\n",
" subplot_titles=(\n",
" \"E-mini S&P 500 (ES) - Equity Index\",\n",
" \"Crude Oil (CL) - Energy\",\n",
" \"Gold (GC) - Precious Metals\",\n",
" ),\n",
" vertical_spacing=0.08,\n",
" shared_xaxes=True,\n",
")\n",
"\n",
"for i, (df, name, color) in enumerate(\n",
" [\n",
" (es_z.to_pandas(), \"ES\", COLORS[\"blue\"]),\n",
" (cl_z.to_pandas(), \"CL\", COLORS[\"amber\"]),\n",
" (gc_z.to_pandas(), \"GC\", COLORS[\"slate\"]),\n",
" ],\n",
" 1,\n",
"):\n",
" # Z-score line\n",
" fig.add_trace(\n",
" go.Scatter(\n",
" x=df[\"report_date\"],\n",
" y=df[\"lev_money_net_zscore\"],\n",
" mode=\"lines\",\n",
" name=f\"{name} Z-Score\",\n",
" line=dict(color=color, width=1.5),\n",
" ),\n",
" row=i,\n",
" col=1,\n",
" )\n",
"\n",
" # Extreme bands\n",
" fig.add_hrect(y0=2, y1=4, fillcolor=COLORS[\"negative\"], opacity=0.1, row=i, col=1)\n",
" fig.add_hrect(y0=-4, y1=-2, fillcolor=COLORS[\"positive\"], opacity=0.1, row=i, col=1)\n",
" fig.add_hline(y=2, line_dash=\"dot\", line_color=COLORS[\"negative\"], opacity=0.5, row=i, col=1)\n",
" fig.add_hline(y=-2, line_dash=\"dot\", line_color=COLORS[\"positive\"], opacity=0.5, row=i, col=1)\n",
" fig.add_hline(y=0, line_dash=\"dash\", line_color=COLORS[\"neutral\"], opacity=0.5, row=i, col=1)"
]
},
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"name": "stderr",
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".venv/lib/python3.14/site-packages/plotly/io/_base_renderers.py:123: DeprecationWarning: \n",
"Support for Kaleido versions less than 1.0.0 is deprecated and will be removed after September 2025.\n",
"Please upgrade Kaleido to version 1.0.0 or greater (`pip install 'kaleido>=1.0.0'` or `pip install 'plotly[kaleido]'`).\n",
"\n",
" image_bytes = to_image(\n"
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"
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig.update_layout(\n",
" height=700,\n",
" title=\"Speculator Positioning Z-Scores Across Asset Classes\",\n",
" template=\"plotly_white\",\n",
" showlegend=True,\n",
" legend=dict(orientation=\"h\", yanchor=\"bottom\", y=1.02, xanchor=\"right\", x=1),\n",
")\n",
"fig.update_yaxes(title_text=\"Z-Score\", range=[-4, 4])\n",
"fig.show()"
]
},
{
"cell_type": "code",
"execution_count": 19,
"id": "5f94d702",
"metadata": {
"execution": {
"iopub.execute_input": "2026-06-13T03:10:57.696842Z",
"iopub.status.busy": "2026-06-13T03:10:57.696643Z",
"iopub.status.idle": "2026-06-13T03:10:57.700399Z",
"shell.execute_reply": "2026-06-13T03:10:57.699915Z"
},
"papermill": {
"duration": 0.011533,
"end_time": "2026-06-13T03:10:57.701073+00:00",
"exception": false,
"start_time": "2026-06-13T03:10:57.689540+00:00",
"status": "completed"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Latest Report: 2024-12-31\n",
"Net Positions by Trader Category:\n",
" Leveraged Money (Hedge Funds): -324,607\n",
" Asset Managers (Institutions): 984,063\n",
" Dealers (Market Makers): -810,986\n"
]
}
],
"source": [
"latest = es_cot.sort(\"report_date\").tail(1)\n",
"print(f\"Latest Report: {latest['report_date'][0]}\")\n",
"print(\"Net Positions by Trader Category:\")\n",
"print(f\" Leveraged Money (Hedge Funds): {latest['lev_money_net'][0]:>12,}\")\n",
"print(f\" Asset Managers (Institutions): {latest['asset_mgr_net'][0]:>12,}\")\n",
"print(f\" Dealers (Market Makers): {latest['dealer_net'][0]:>12,}\")"
]
},
{
"cell_type": "code",
"execution_count": 20,
"id": "7d8022ca",
"metadata": {
"execution": {
"iopub.execute_input": "2026-06-13T03:10:57.719317Z",
"iopub.status.busy": "2026-06-13T03:10:57.719148Z",
"iopub.status.idle": "2026-06-13T03:10:57.772492Z",
"shell.execute_reply": "2026-06-13T03:10:57.771905Z"
},
"papermill": {
"duration": 0.062907,
"end_time": "2026-06-13T03:10:57.773046+00:00",
"exception": false,
"start_time": "2026-06-13T03:10:57.710139+00:00",
"status": "completed"
}
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
".venv/lib/python3.14/site-packages/plotly/io/_base_renderers.py:123: DeprecationWarning: \n",
"Support for Kaleido versions less than 1.0.0 is deprecated and will be removed after September 2025.\n",
"Please upgrade Kaleido to version 1.0.0 or greater (`pip install 'kaleido>=1.0.0'` or `pip install 'plotly[kaleido]'`).\n",
"\n",
" image_bytes = to_image(\n"
]
},
{
"data": {
"application/vnd.plotly.v1+json": {
"config": {
"plotlyServerURL": "https://plot.ly"
},
"data": [
{
"line": {
"color": "#0a1628",
"width": 2
},
"mode": "lines",
"name": "Leveraged Money",
"type": "scatter",
"x": [
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"
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Visualize trader categories over time\n",
"es_pd = es_cot.to_pandas()\n",
"\n",
"fig = go.Figure()\n",
"\n",
"fig.add_trace(\n",
" go.Scatter(\n",
" x=es_pd[\"report_date\"],\n",
" y=es_pd[\"lev_money_net\"],\n",
" mode=\"lines\",\n",
" name=\"Leveraged Money\",\n",
" line=dict(color=COLORS[\"blue\"], width=2),\n",
" )\n",
")\n",
"fig.add_trace(\n",
" go.Scatter(\n",
" x=es_pd[\"report_date\"],\n",
" y=es_pd[\"asset_mgr_net\"],\n",
" mode=\"lines\",\n",
" name=\"Asset Managers\",\n",
" line=dict(color=COLORS[\"slate\"], width=2),\n",
" )\n",
")\n",
"fig.add_trace(\n",
" go.Scatter(\n",
" x=es_pd[\"report_date\"],\n",
" y=es_pd[\"dealer_net\"],\n",
" mode=\"lines\",\n",
" name=\"Dealers\",\n",
" line=dict(color=COLORS[\"amber\"], width=2),\n",
" )\n",
")\n",
"\n",
"fig.add_hline(y=0, line_dash=\"dash\", line_color=COLORS[\"neutral\"])\n",
"\n",
"fig.update_layout(\n",
" height=450,\n",
" title=\"ES Net Positioning by Trader Category\",\n",
" template=\"plotly_white\",\n",
" xaxis_title=\"Report Date\",\n",
" yaxis_title=\"Net Contracts\",\n",
" legend=dict(orientation=\"h\", yanchor=\"bottom\", y=1.02, xanchor=\"right\", x=1),\n",
")\n",
"fig.show()"
]
},
{
"cell_type": "markdown",
"id": "d7e6cc39",
"metadata": {
"papermill": {
"duration": 0.007787,
"end_time": "2026-06-13T03:10:57.787482+00:00",
"exception": false,
"start_time": "2026-06-13T03:10:57.779695+00:00",
"status": "completed"
}
},
"source": [
"**Key Observations:**\n",
"- **Leveraged Money** (hedge funds) shows the most volatility and tends to be trend-following\n",
"- **Asset Managers** are smoother, reflecting longer-term institutional allocations\n",
"- **Dealers** often take the opposite side (market making), providing liquidity\n",
"- When all categories align, it can signal crowded positioning"
]
},
{
"cell_type": "markdown",
"id": "e2346016",
"metadata": {
"papermill": {
"duration": 0.008517,
"end_time": "2026-06-13T03:10:57.804283+00:00",
"exception": false,
"start_time": "2026-06-13T03:10:57.795766+00:00",
"status": "completed"
}
},
"source": [
"---\n",
"\n",
"## Section 7: ml4t-data Feature Generation\n",
"\n",
"The ml4t-data library provides utilities to combine COT with price data."
]
},
{
"cell_type": "code",
"execution_count": 21,
"id": "af7acb40",
"metadata": {
"execution": {
"iopub.execute_input": "2026-06-13T03:10:57.820890Z",
"iopub.status.busy": "2026-06-13T03:10:57.820736Z",
"iopub.status.idle": "2026-06-13T03:10:57.825257Z",
"shell.execute_reply": "2026-06-13T03:10:57.824705Z"
},
"papermill": {
"duration": 0.013482,
"end_time": "2026-06-13T03:10:57.825561+00:00",
"exception": false,
"start_time": "2026-06-13T03:10:57.812079+00:00",
"status": "completed"
}
},
"outputs": [
{
"data": {
"text/html": [
"<div><style>\n",
".dataframe > thead > tr,\n",
".dataframe > tbody > tr {\n",
" text-align: right;\n",
" white-space: pre-wrap;\n",
"}\n",
"</style>\n",
"<small>shape: (10, 7)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>report_date</th><th>available_date</th><th>lev_money_net_zscore</th><th>contrarian_signal</th><th>large_change_signal</th><th>zscore_lag1</th><th>zscore_momentum</th></tr><tr><td>date</td><td>date</td><td>f64</td><td>i32</td><td>i32</td><td>f64</td><td>f64</td></tr></thead><tbody><tr><td>2024-10-29</td><td>2024-11-04</td><td>0.601611</td><td>0</td><td>0</td><td>0.470741</td><td>0.13087</td></tr><tr><td>2024-11-05</td><td>2024-11-11</td><td>2.015941</td><td>-1</td><td>1</td><td>0.601611</td><td>1.41433</td></tr><tr><td>2024-11-12</td><td>2024-11-18</td><td>0.768468</td><td>0</td><td>-1</td><td>2.015941</td><td>-1.247473</td></tr><tr><td>2024-11-19</td><td>2024-11-25</td><td>1.07149</td><td>0</td><td>0</td><td>0.768468</td><td>0.303022</td></tr><tr><td>2024-11-26</td><td>2024-12-02</td><td>0.298866</td><td>0</td><td>-1</td><td>1.07149</td><td>-0.772624</td></tr><tr><td>2024-12-03</td><td>2024-12-09</td><td>-0.482887</td><td>0</td><td>-1</td><td>0.298866</td><td>-0.781753</td></tr><tr><td>2024-12-10</td><td>2024-12-16</td><td>0.400647</td><td>0</td><td>1</td><td>-0.482887</td><td>0.883534</td></tr><tr><td>2024-12-17</td><td>2024-12-23</td><td>0.96095</td><td>0</td><td>0</td><td>0.400647</td><td>0.560303</td></tr><tr><td>2024-12-24</td><td>2024-12-30</td><td>-0.123874</td><td>0</td><td>-1</td><td>0.96095</td><td>-1.084824</td></tr><tr><td>2024-12-31</td><td>2025-01-06</td><td>-0.040697</td><td>0</td><td>0</td><td>-0.123874</td><td>0.083177</td></tr></tbody></table></div>"
],
"text/plain": [
"shape: (10, 7)\n",
"┌─────────────┬──────────────┬─────────────┬─────────────┬─────────────┬─────────────┬─────────────┐\n",
"│ report_date ┆ available_da ┆ lev_money_n ┆ contrarian_ ┆ large_chang ┆ zscore_lag1 ┆ zscore_mome │\n",
"│ --- ┆ te ┆ et_zscore ┆ signal ┆ e_signal ┆ --- ┆ ntum │\n",
"│ date ┆ --- ┆ --- ┆ --- ┆ --- ┆ f64 ┆ --- │\n",
"│ ┆ date ┆ f64 ┆ i32 ┆ i32 ┆ ┆ f64 │\n",
"╞═════════════╪══════════════╪═════════════╪═════════════╪═════════════╪═════════════╪═════════════╡\n",
"│ 2024-10-29 ┆ 2024-11-04 ┆ 0.601611 ┆ 0 ┆ 0 ┆ 0.470741 ┆ 0.13087 │\n",
"│ 2024-11-05 ┆ 2024-11-11 ┆ 2.015941 ┆ -1 ┆ 1 ┆ 0.601611 ┆ 1.41433 │\n",
"│ 2024-11-12 ┆ 2024-11-18 ┆ 0.768468 ┆ 0 ┆ -1 ┆ 2.015941 ┆ -1.247473 │\n",
"│ 2024-11-19 ┆ 2024-11-25 ┆ 1.07149 ┆ 0 ┆ 0 ┆ 0.768468 ┆ 0.303022 │\n",
"│ 2024-11-26 ┆ 2024-12-02 ┆ 0.298866 ┆ 0 ┆ -1 ┆ 1.07149 ┆ -0.772624 │\n",
"│ 2024-12-03 ┆ 2024-12-09 ┆ -0.482887 ┆ 0 ┆ -1 ┆ 0.298866 ┆ -0.781753 │\n",
"│ 2024-12-10 ┆ 2024-12-16 ┆ 0.400647 ┆ 0 ┆ 1 ┆ -0.482887 ┆ 0.883534 │\n",
"│ 2024-12-17 ┆ 2024-12-23 ┆ 0.96095 ┆ 0 ┆ 0 ┆ 0.400647 ┆ 0.560303 │\n",
"│ 2024-12-24 ┆ 2024-12-30 ┆ -0.123874 ┆ 0 ┆ -1 ┆ 0.96095 ┆ -1.084824 │\n",
"│ 2024-12-31 ┆ 2025-01-06 ┆ -0.040697 ┆ 0 ┆ 0 ┆ -0.123874 ┆ 0.083177 │\n",
"└─────────────┴──────────────┴─────────────┴─────────────┴─────────────┴─────────────┴─────────────┘"
]
},
"execution_count": 21,
"metadata": {},
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}
],
"source": [
"sample_features = es_signals.select(\n",
" [\n",
" \"report_date\",\n",
" \"available_date\",\n",
" \"lev_money_net_zscore\",\n",
" \"contrarian_signal\",\n",
" \"large_change_signal\",\n",
" ]\n",
").with_columns(\n",
" [\n",
" # Additional features\n",
" pl.col(\"lev_money_net_zscore\").shift(1).alias(\"zscore_lag1\"),\n",
" (pl.col(\"lev_money_net_zscore\") - pl.col(\"lev_money_net_zscore\").shift(1)).alias(\n",
" \"zscore_momentum\"\n",
" ),\n",
" ]\n",
")\n",
"sample_features.tail(10)"
]
},
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"source": [
"---\n",
"\n",
"## Section 8: Summary\n",
"\n",
"### Key Takeaways\n",
"\n",
"1. **COT data is free** and provides unique institutional positioning insight\n",
"2. **Two report types**: TFF (financial) and Disaggregated (commodities)\n",
"3. **Z-scores** identify extreme positioning for contrarian signals\n",
"4. **Commercials vs Speculators**: Track the \"smart money\"\n",
"5. **Release lag**: Report date is Tuesday, released Friday 3:30 PM - use +6 day lag for daily backtests!\n",
"\n",
"### Using CoT in the book\n",
"\n",
"Download (one-time, writes per-product parquets to ``$ML4T_DATA_PATH/futures/positioning/cot/``):\n",
"\n",
"```bash\n",
"python data/futures/positioning/cot_download.py # all products, 2020–current\n",
"python data/futures/positioning/cot_download.py --products ES,CL,GC,ZN # subset\n",
"python data/futures/positioning/cot_download.py --start-year 2010 # longer history\n",
"```\n",
"\n",
"Load in a notebook:\n",
"\n",
"```python\n",
"from data.futures.loader import load_cot\n",
"\n",
"es_cot = load_cot(products=[\"ES\"], start_date=\"2020-01-01\", end_date=\"2024-12-31\")\n",
"all_cot = load_cot() # everything available locally\n",
"```\n",
"\n",
"### Integration with Book\n",
"\n",
"- **Chapter 8**: COT as sentiment feature for financial feature engineering\n",
"- **Chapter 16**: Futures strategy using positioning signals\n",
"- **Chapter 19**: COT in portfolio risk monitoring"
]
}
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