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fix(notebooks,#20167): retire execution_count/outputs des cellules markdown (lot C) #20595

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de3ad4a
fix(notebooks,#20167): retire execution_count/outputs des cellules ma…
claude Oct 13, 2026
c493eaa
Fix(twin,#20167): re-attestation des 3 paires jumelles touchees par l…
claude Oct 14, 2026
a1b4181
Split(#20167): les carnets Sudoku du lot C partent dans une PR dédiée
claude Oct 15, 2026
c6e1afd
Merge branch 'main' into claude/20167-md-cell-schema-c
jsboige Oct 15, 2026
242fac3
Merge branch 'main' into claude/20167-md-cell-schema-c
jsboige Oct 17, 2026
e1e5923
Fix: retire l'attestation twin gametheory-14 perimee par #20951 (re-b…
jsboige Oct 17, 2026
fca4e6b
Fix: re-atteste la paire twin gametheory-14 a la tete fusionnee (apre…
jsboige Oct 17, 2026
c608d1a
Fix: retire la cle attachments en liste vide de la cellule de referen…
jsboige Oct 17, 2026
407cc24
Fix: re-atteste la paire twin gametheory-14 apres retrait de la cle a…
jsboige Oct 17, 2026
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188 changes: 47 additions & 141 deletions MyIA.AI.Notebooks/GameTheory/GameTheory-01-Setup-Python.ipynb
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1 change: 0 additions & 1 deletion MyIA.AI.Notebooks/GameTheory/GameTheory-03-Topology2x2-CSharp.ipynb
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},
"tags": []
},
"outputs": [],
"source": [
"## 10. Tranche 2 — Graphe des swaps via QuikGraph (moteur .NET natif)\n",
"\n",
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4 changes: 0 additions & 4 deletions MyIA.AI.Notebooks/GameTheory/GameTheory-06e-Open-Source-Game-Theory-Python.ipynb
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},
{
"cell_type": "markdown",
"execution_count": null,
"id": "interpret-correlated-eq-aumann",
"metadata": {
"papermill": {
Expand All @@ -139,7 +138,6 @@
},
"tags": []
},
"outputs": [],
"source": [
"### Lecture : equilibre correle et transparence comme mediator\n",
"\n",
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},
{
"cell_type": "markdown",
"execution_count": null,
"id": "exo-4-payoff-self-v2",
"metadata": {
"papermill": {
Expand All @@ -1234,7 +1231,6 @@
},
"tags": []
},
"outputs": [],
"source": [
"### Exercice 4 -- `payoff_self_v2` : heuristique non-triviale (follow-up REPAIR c.997)\n",
"\n",
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15 changes: 1 addition & 14 deletions MyIA.AI.Notebooks/GameTheory/GameTheory-14-DifferentialGames-Python.ipynb
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},
{
"cell_type": "markdown",
"execution_count": null,
"id": "4f666678",
"metadata": {
"papermill": {
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},
"tags": []
},
"outputs": [],
"source": [
"### Interpretation des gains feedback (corrige c.767)\n",
"\n",
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},
{
"cell_type": "markdown",
"execution_count": null,
"id": "62d23faf",
"metadata": {
"papermill": {
Expand All @@ -1102,7 +1099,6 @@
},
"tags": []
},
"outputs": [],
"source": [
"### Interpretation : Dynamique du jeu LQ et feedback Nash\n",
"\n",
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},
{
"cell_type": "markdown",
"execution_count": null,
"id": "960931b2",
"metadata": {
"papermill": {
Expand All @@ -1841,7 +1836,6 @@
},
"tags": []
},
"outputs": [],
"source": [
"## 5. Stackelberg Dynamique\n",
"\n",
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},
{
"cell_type": "markdown",
"execution_count": null,
"id": "6a573be0",
"metadata": {
"papermill": {
Expand All @@ -1870,7 +1863,6 @@
},
"tags": []
},
"outputs": [],
"source": [
"### 5.3 De l'equilibre statique au jeu dynamique\n",
"\n",
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},
{
"cell_type": "markdown",
"execution_count": null,
"id": "0e622384",
"metadata": {
"papermill": {
Expand All @@ -2084,7 +2075,6 @@
},
"tags": []
},
"outputs": [],
"source": [
"### Interpretation : pourquoi le \"dynamique\" etait degenere, et ce que le cout d'ajustement change\n",
"\n",
Expand Down Expand Up @@ -2205,7 +2195,6 @@
},
{
"cell_type": "markdown",
"execution_count": null,
"id": "d035d313",
"metadata": {
"papermill": {
Expand All @@ -2217,7 +2206,6 @@
},
"tags": []
},
"outputs": [],
"source": [
"### Interpretation visualisee : un vrai dynamique\n",
"\n",
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"- **Bardi, M. & Capuzzo-Dolcetta, I. (1997).** *Optimal Control and Viscosity Solutions of Hamilton-Jacobi-Bellman Equations.* Birkhauser. -- **référence historique sur la théorie de viscosité appliquée au contrôle optimal**, conditions aux limites, approximation par schéma numérique, conditions de Dirichlet. **Prérequis numérique** du carnet 14 (les résolutions reposent sur le schéma explicite de Bellman, valide en viscosité).\n",
"- **Fleming, W. H. & Rishel, R. W. (1975).** *Deterministic and Stochastic Optimal Control.* Springer. -- **référence fondatrice** sur les fonctions valeur en contrôle optimal, théorie de sélection mesurable, décomposition en problèmes local-globaux. **Prérequis épistémique** du carnet 14 (ce qu'Isaacs 1965 suppose implicitement sur la régularité des fonctions valeur).\n",
"\n"
],
"attachments": []
]
},
{
"cell_type": "markdown",
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2 changes: 0 additions & 2 deletions MyIA.AI.Notebooks/QuantConnect/projects/CSharp-BTC-MACD-ADX/research_robustness.ipynb
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},
{
"cell_type": "markdown",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"### 8.4 — Le tranchant : walk-forward multi-régimes sur le moteur cloud (2026-10-07)\n",
"\n",
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48 changes: 12 additions & 36 deletions MyIA.AI.Notebooks/QuantConnect/projects/ML-RandomForest/quantbook.ipynb
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"- Comprehension des arbres de decision et bagging\n",
"\n",
"## Duree estimee: 45 minutes"
],
"execution_count": null,
"outputs": []
]
},
{
"cell_type": "code",
Expand Down Expand Up @@ -64,9 +62,7 @@
"metadata": {},
"source": [
"## 1. Chargement des Données"
],
"execution_count": null,
"outputs": []
]
},
{
"cell_type": "code",
Expand Down Expand Up @@ -146,18 +142,14 @@
"**A ne pas faire** : re-fenetrer explicitement sur 2020-2024 tant que l'issue #8734 n'est pas resolue - les donnees equity locales s'arretent au 2021-03-31 et Lean les prolonge en constante via `fillDataForward=True`, ce qui produirait ~3 ans de plat (l'artefact a l'origine des 100 % de direction accuracy en #8719). La fenetre reculee est, par accident, la raison pour laquelle ce notebook a des donnees reelles.\n",
"\n",
"**Reste a faire** (garde par #6891, creds QC Cloud requises) : une re-execution via QC Cloud ajoutera la ligne `Fenetre effective:` imprimee par le code, sur le modele de ML-DeepLearning (#8770). En attendant, cette divulgation documentaire assure l'honnetete interimaire.\n"
],
"execution_count": null,
"outputs": []
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 2. Feature Engineering"
],
"execution_count": null,
"outputs": []
]
},
{
"cell_type": "code",
Expand Down Expand Up @@ -275,9 +267,7 @@
"metadata": {},
"source": [
"## 3. Preparation des Données d'Entrainement"
],
"execution_count": null,
"outputs": []
]
},
{
"cell_type": "code",
Expand Down Expand Up @@ -348,9 +338,7 @@
"metadata": {},
"source": [
"## 4. Entrainement Random Forest"
],
"execution_count": null,
"outputs": []
]
},
{
"cell_type": "code",
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"metadata": {},
"source": [
"## 5. Feature Importance"
],
"execution_count": null,
"outputs": []
]
},
{
"cell_type": "code",
Expand Down Expand Up @@ -484,9 +470,7 @@
"metadata": {},
"source": [
"## 6. Matrice de Confusion"
],
"execution_count": null,
"outputs": []
]
},
{
"cell_type": "code",
Expand Down Expand Up @@ -533,9 +517,7 @@
"metadata": {},
"source": [
"## 7. Hyperparameter Tuning"
],
"execution_count": null,
"outputs": []
]
},
{
"cell_type": "code",
Expand Down Expand Up @@ -589,9 +571,7 @@
"metadata": {},
"source": [
"## 8. Walk-Forward Validation"
],
"execution_count": null,
"outputs": []
]
},
{
"cell_type": "code",
Expand Down Expand Up @@ -667,9 +647,7 @@
"metadata": {},
"source": [
"## 9. Backtest de la Stratégie"
],
"execution_count": null,
"outputs": []
]
},
{
"cell_type": "code",
Expand Down Expand Up @@ -822,9 +800,7 @@
"- **Memoire**: Stocke tous les arbres\n",
"- **Extrapolation**: Mauvais sur données hors distribution d'entrainement\n",
"- **Lag**: Les decisions basees sur les features passees peuvent etre en retard"
],
"execution_count": null,
"outputs": []
]
}
],
"metadata": {
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