⚡ FRANTOLINI // v2.8
[F1] PULPIT [F2] REALNE [F3] PAPIEROWE [F4] ANALITYKA [F5] WIADOMOŚCI [F6] MAKRO [F7] KORELACJE [F8] LABORATORIUM [F9] RAPORTY [F10] MENTORZY [B] BRIEFING [C] KRYTYKA [F11] STAN
UŻYTKOWNIK: BARTOSZ // 00:00:00 UTC
▲ Ładowanie danych...
📖 BIBLIOTEKA WIEDZY — Investopedia + arXiv + Gutenberg klasyki
ŁĄCZNIE ARTYKUŁÓW
246
SKLASYFIKOWANYCH
246
ŹRÓDŁA
investopedia: 131
arxiv_qfin: 40
gutenberg_classic: 5
wikipedia: 69
damodaran_nyu: 1
CYKL
Investopedia: codziennie 08:00 UTC
arXiv q-fin: pon. 07:00 UTC
Gutenberg: one-shot
ŹRÓDŁO TYTUŁ KAT. FIT KONCEPTY CYTAT
📄 arX The effect of investor-driven information diffusion on exces TECHNICAL LOW excess comovementinformation diffusionlead-lag relationshipretail vs institutional investor behavior "Stocks with faster retail-driven information diffusion exhibit comovement that precedes those with slower diffusion."
📄 arX A Market-Rule-Informed Neural Network for Efficient Imbalanc TECHNICAL LOW imbalance price forecastingmarket-rule priorsneural networkbalancing markets "Market-rule priors and expressive neural networks should be jointly used for accurate and computationally sustainable fo"
📄 arX The Engineering of Skew: A Path-Dependent Framework for Asym RISK_MGMT HIGH path-dependent volatilityasymmetric volatility managementskew engineeringdrawdown depth "The relevant design problem is not volatility reduction in isolation; it is conditional exposure shaping."
📄 arX Beyond ESG Scores: Learning Dynamic Constraints for Sequenti RISK_MGMT LOW ESG constraintsportfolio optimizationsequential controlreinforcement learning "ESG is better treated as a portfolio preference, risk-exposure, or hedge dimension than as a robust alpha factor."
📄 arX Quantifying the Risk-Return Tradeoff in Forecasting RISK_MGMT MED Sharpe ratioSortino ratioOmega ratiodrawdown metrics "It is often feasible to beat professional forecasters in accuracy, but much harder to beat them on a risk-adjusted basis"
📄 arX On the modeling assumptions of Historical Simulation for Val RISK_MGMT HIGH Value-at-RiskHistorical SimulationFiltered Historical Simulationinnovation process "These methods need more underlying assumptions than what is often alluded to."
📄 arX Resolution-Aware Perpetual Futures on Binary Prediction Mark RISK_MGMT LOW perpetual futuresfunding ratemargin sizingleverage compression "halt addresses execution-channel risk; terminal-jump bad-debt remains margin-side"
📄 arX A Taxonomy of Event-Linked Perpetual Futures: Variant Design DEFINITION LOW perpetual futuresevent-linked derivativesbinary prediction marketsconditional probability "basket variant requires multi-period jump-aware margin whose aggregation is correlation-dependent"
📄 arX Statistical Model Checking of the Keynes+Schumpeter Model: A MACRO LOW agent-based modelsMonte Carlo simulationsensitivity analysisGDP growth "Macro-financial and structural sweeps produce the strongest transient effects, whereas heuristic-rule sweeps remain much"
📄 arX Manipulation, Insider Information, and Regulation in Leverag RISK_MGMT LOW leveragemanipulation taxonomyinformed tradingevent-linked markets "Leverage scales market-price manipulation linearly but shifts the cost-benefit threshold for outcome manipulation."
🌐 WIKI Bollinger Bands TECHNICAL HIGH Bollinger Bandsmoving averagestandard deviationmean reversion "When the bands lie close together, a period of low volatility is indicated — conversely, as the bands expand, an increas"
🌐 WIKI Relative strength index TECHNICAL MED momentumRSIoverboughtoversold "RSI computes momentum as the ratio of higher closes to overall closes; RSI slope is directly proportional to velocity of"
🌐 WIKI Stochastic oscillator TECHNICAL HIGH momentumstochastic oscillatorsupport and resistanceoverbought/oversold "Prices tend to close near the extremes of the recent range just before turning points."
🌐 WIKI Pivot point (technical analysis) TECHNICAL HIGH pivot pointsupportresistanceprice levels "The support and resistance levels calculated from the pivot point may be used as exit points of trades, but are rarely u"
🌐 WIKI Trend line (technical analysis) TECHNICAL MED trend linesupportresistancepivot points "When price returns to an existing principal trend line it may be an opportunity to open new positions in the direction o"
📚 MENTOR RESEARCH LAB — autonomous learning input 14 mentors registered
TOTAL MENTORS
14
HIGH PRIORITY
8
CHANNELS FETCHED
12
AI INSIGHTS
11
ACTION
~$0.30/run · weekly recommended
🧩 CROSS-MENTOR THEME CONSENSUS — what they agree on 6 themes
THEMEMENTORSSTRENGTHFROM
volume_profile 3 ●●● STRONG ATAS Platform (EN) · Dylan Stox · Forrest Knight
orderflow 2 ●● MEDIUM ATAS Platform (EN) · Okala
liquidity_smc 2 ●● MEDIUM ATAS Platform (EN) · Okala
psychology 1 ● single Jared Tendler
low_latency 1 ● single The Traveling Trader
session_timing 1 ● single Anthony Crudele
🎯 TESTABLE HYPOTHESIS BACKLOG 4 todo / 12 total
P1 Andrea Cimi ◐ TESTING
orderflowvolume_profileliquidity_smcsession_timing
Test orderflow-based entry filters (Volume Profile nodes, liquidity gaps) on gold/silver futures scalps; validate whether 1-4h rapid scalp mechanics outperform our current swing-based approach on metals.
P1 ATAS Platform (EN) ◐ TESTING
orderflowvolume_profileliquidity_smc
Test ATAS-style volume profile and order flow integration into our metals trading system to identify high-probability entry/exit zones around historical volume nodes and footprint patterns.
P1 Okala ◐ TESTING
orderflowliquidity_smc
Implement SMC liquidity sweep identification on gold/silver futures to detect institutional entries and test ICT supply/demand zone confirmation before metals trade entries.
P1 ATAS Platform (EN) ○ TODO
orderflowvolume_profileliquidity_smc
Test ATAS volume profile and order flow indicators on gold/silver futures to identify high-probability entry zones at support/resistance levels defined by volume clusters rather than price alone.
P1 Okala ○ TODO
orderflowliquidity_smc
Test SMC supply/demand block identification combined with order flow analysis on gold/silver micro-structures to filter entries; implement 80/20 position sizing hierarchy to reduce drawdowns.
P1 Forrest Knight ○ TODO
volume_profile
Integrate volume profile POC and value area as dynamic support/resistance levels in our metals trading system, particularly for identifying breakout validity and mean-reversion entry points in gold/silver futures.
P2 The Traveling Trader ◐ TESTING
volume_profilemacro_overlaysession_timing
Test contrarian pullback entries in metals during major macro events (Fed decisions, geopolitical shocks, equity drawdowns) using volatility resets as confirmation signals for high R:R setups.
P2 Jay Awtani ◐ TESTING
liquidity_smcpsychologysession_timinglow_latency
Test a selective pre-market metals swing setup with AI filtering for high-conviction entries only, paired with a checklist-based flow state routine before execution, measuring conviction-adjusted win rate vs. volume-based metrics.
P2 Forrest Knight ◐ TESTING
volume_profileprop_firmlow_latency
Test volume profile confluences on GC/SI 1-5min charts combined with low-latency VPS execution to replicate his NQ scalping model's daily payout consistency on metals.
P2 Faber Vaale (ENG) ◐ TESTING
orderflowliquidity_smcpsychologyprop_firm
Test liquidity zone identification + orderflow confirmation on metal futures entries; implement his session psychology framework (managing drawdowns, risk per trade) to improve metals scalping consistency.
P2 Forrest Knight ◐ TESTING
volume_profile
Extract Forrest Knight's full video catalog to identify specific volume profile applications; test POC (Point of Control) and VAL/VAH levels on gold/silver futures for entry/exit confirmation.
P2 Jay Awtani ○ TODO
Require actual video transcripts or detailed title lists to extract specific swing option setups applicable to metals; current titles are placeholder/navigation elements without strategic content.
🚀 SYSTEM DEVELOPMENT REPORT — analyze · incorporate · develop 
# 🧠 Mentor Development Report
_Generated 2026-05-11T06:00:43.393407+00:00_

## 📊 PRZEANALIZOWANO

- Insightów ogółem: **11**
- HIGH applicability: **3** | MEDIUM: **4** | LOW (skip): **3**

### 🔥 HIGH applicability mentors
- **ATAS Platform (EN)** — Test ATAS volume profile and order flow indicators on gold/silver futures to identify high-probability entry zones at support/resistance levels defined by volume clusters rather than price alone.
- **Okala** — Test SMC supply/demand block identification combined with order flow analysis on gold/silver micro-structures to filter entries; implement 80/20 position sizing hierarchy to reduce drawdowns.
- **Forrest Knight** — Integrate volume profile POC and value area as dynamic support/resistance levels in our metals trading system, particularly for identifying breakout validity and mean-reversion entry points in gold/silver futures.

## 🧩 WZORCE KONSENSUSOWE

| Temat | Mentorów | Siła | Mentorzy |
|-------|----------|------|----------|
| `volume_profile` | 3 | STRONG | ATAS Platform (EN), Dylan Stox, Forrest Knight |
| `orderflow` | 2 | MEDIUM | ATAS Platform (EN), Okala |
| `liquidity_smc` | 2 | MEDIUM | ATAS Platform (EN), Okala |

## 🎯 PRZYSWOJONO — Backlog testowych hipotez

- Nowych pozycji w backlog: **4**
- Nowych kandydatów strategii w library: **10**

### Top hipotezy P1/P2 (do testów)
- `[P1]` **ATAS Platform (EN)** (orderflow, volume_profile, liquidity_smc)
  - Test ATAS volume profile and order flow indicators on gold/silver futures to identify high-probability entry zones at support/resistance levels defined by volume clusters rather than price alone.
- `[P1]` **Okala** (orderflow, liquidity_smc)
  - Test SMC supply/demand block identification combined with order flow analysis on gold/silver micro-structures to filter entries; implement 80/20 position sizing hierarchy to reduce drawdowns.
- `[P2]` **Jay Awtani** (no theme)
  - Require actual video transcripts or detailed title lists to extract specific swing option setups applicable to metals; current titles are placeholder/navigation elements without strategic content.
- `[P1]` **Forrest Knight** (volume_profile)
  - Integrate volume profile POC and value area as dynamic support/resistance levels in our metals trading system, particularly for identifying breakout validity and mean-reversion entry points in gold/silver futures.

## 🚀 ROZWIJAJ — Następne kroki systemowe

- **Volume Profile module** — implementacja POC/VAH/VAL detection w Pine v2.7 (consensus z Forrest Knight + Andrea Cimi)
- **Orderflow filter** — dodać delta divergence + absorption detection do Quality Score (Faber Vaale + Andrea Cimi confirm)
- **Validate v2.6 sweep logic** vs Okala SMC/ICT teaching — porównać confluence i FVG mitigation rules

---
_Auto-generated by mentor_analyzer.py · weekly cadence_
🔥 HIGH PRIORITY MENTORS — primary research input curated by user
NAME HANDLE CATEGORY FOCUS KEY CONCEPTS EXTRACTABLE WEIGHT AI INSIGHT
Faber Vaale (ENG) @fabervaaleEng futures_scalping Order flow + intraday futures scalping (NQ/ES/CL) order flowdeltaabsorptionscalping 3 strategies 0.9 MEDIUM
Forrest Knight CF @forrestforce volume_profile Volume Profile + Auction Market Theory + Futures volume profilePOCvalue areabalance/imbalance 4 strategies 1.0 HIGH
Anthony Crudele @AnthonyCrudele futures_macro Futures (ES/NQ/CL/Gold) + macro context + technical analysis macro overlayfutures positioningVIX correlationsession-based 3 strategies 0.95 MEDIUM
Marci Silfrain CF marci_silfrain_search futures_top_trader World #2 Futures Trader - simple prop firm strategy 65% WR ($5M+ payouts) prop firm psychology65% win rate setupdrawdown managementrisk per trade 2 strategies 1.0 unfetched
↳ Featured in Chart Fanatics 'STEAL This SIMPLE Trading Strategy' video
Jared Tendler @JaredTendler psychology Trading psychology + tilt management + mental game (book: 'The Mental Game of Trading') tilt controlemotional disciplineprocess orientationfear management — 1.0 UNKNOWN
↳ Psychology mentor — apply to system as guardrails (max trades/day, daily loss limit, post-loss cooldown)
Okala @Okala8020 smc_ict Smart Money Concepts + ICT methodology + liquidity sweeps liquidity sweepFVGOBPO3 4 strategies 0.95 HIGH
↳ Strong overlap with our existing v2.5 SMC/ICT logic — validate our setups against his teachings
ATAS Platform (EN) @ATAS_EN orderflow_platform ATAS official channel — footprint charts, cluster analysis, delta analysis, volume profile, market profile, DOM analysis. Institutional orderflow detection. footprint chartcluster analysisdelta divergencecumulative delta 6 strategies 1.0 HIGH
↳ Industry-standard orderflow platform — wszystkie ich materiały bezpośrednio mappują na nasze v2.7 OF divergence + absorption + VP signals
DeepCharts @deepcharts-official ai_analytics DeepChart AI — automated pattern recognition, backtest engine, ML-based signal detection. Modern data-driven approach. AI pattern recognitionbacktestML signalsauto-screening 3 strategies 0.85 LOW
↳ AI/ML approach — pasuje do naszej autonomous learning architecture. Sprawdzić jak ich screener zidentyfikuje co my powinniśmy
🟡 MEDIUM PRIORITY
NAMECATEGORYFOCUSWEIGHT
Jay Awtani swing_options Swing trading + options + technical analysis 0.7
Dylan Stox stocks_swing Stock swing trading + technical setups + momentum 0.75
The Traveling Trader futures_lifestyle Futures + trader lifestyle + funded accounts 0.7
Andrea Cimi futures_int Futures trading + price action + European market timing 0.8
⚪ LOW PRIORITYlimited metals applicability
NAMECATEGORY
Carmine Rosato options_swing
JadeCap stocks_growth
🤖 RECENT AI INSIGHTSlatest research analyses
WHEN MENTOR STRATEGIES MENTIONED METALS FIT ACTIONABLE FOR US
2026-05-11T06:00 DeepCharts ● LOW Request actual video transcripts, descriptions, or a broader sample of video titles to extract trading patterns applicable to metals markets.
2026-05-11T06:00 ATAS Platform (EN) Volume profile analysis Order flow reading Level identification via volume clusters ●●● HIGH Test ATAS volume profile and order flow indicators on gold/silver futures to identify high-probability entry zones at support/resistance levels defined by volume clusters rather than price alone.
2026-05-11T06:00 Okala SMC (Smart Money Concepts) ICT (Inner Circle Trader) methodology 80/20 Trading Pit approach ●●● HIGH Test SMC supply/demand block identification combined with order flow analysis on gold/silver micro-structures to filter entries; implement 80/20 position sizing hierarchy to reduce drawdowns.
2026-05-11T06:00 Andrea Cimi Unable to extract - insufficient content Unable to extract - insufficient content Unable to extract - insufficient content ●● MED Request detailed video summaries, timestamps, or channel playlist structure to extract meaningful trading setups applicable to metals futures (gold, silver, copper).
2026-05-11T06:00 Jared Tendler Not determinable from titles ● UNKNOWN Request actual video titles or transcript snippets from Jared Tendler's psychology-focused trading content to enable meaningful pattern extraction.
2026-05-11T06:00 The Traveling Trader ● LOW Request actual strategy-focused video titles or transcript summaries, as current titles contain no extractable trading patterns applicable to metals systems.
2026-05-11T06:00 Dylan Stox ● LOW Request actual trading video titles with specific strategy names (e.g., 'Support/Resistance Breakout', 'Moving Average Crossover', 'Volume Profile Trading') to enable meaningful analysis for metals trading application.
2026-05-11T06:00 Anthony Crudele Unable to extract - titles are generic/non-descriptive ●● MED Request actual video title samples or transcript excerpts to extract concrete patterns applicable to metals trading strategy development.
2026-05-11T06:00 Jay Awtani Unable to determine - insufficient content ●● MED Require actual video transcripts or detailed title lists to extract specific swing option setups applicable to metals; current titles are placeholder/navigation elements without strategic content.
2026-05-11T06:00 Forrest Knight Volume Profile Analysis Market Profile Trading Price Level Identification ●●● HIGH Integrate volume profile POC and value area as dynamic support/resistance levels in our metals trading system, particularly for identifying breakout validity and mean-reversion entry points in gold/silver futures.
2026-05-11T06:00 Faber Vaale (ENG) Unable to determine - titles insufficient ●● MED Request access to actual video content or detailed channel description to extract specific scalping setups, entry/exit rules, and position management techniques for metals futures.
CATEGORY LEGEND
futures_scalping — Intraday futures focused — high frequency, tight risk
volume_profile — Volume Profile / Auction Market Theory school
swing_options — Multi-day swing + options structure
futures_macro — Futures with macro overlay (DXY, VIX, yields)
futures_top_trader — Verified top performers (Marci Silfrain etc.)
stocks_swing — Stock swing trading
futures_lifestyle — Funded account focus + lifestyle
options_swing — Options structure + premium
psychology — Mental game (Tendler etc.)
futures_int — International futures (European angle)
smc_ict — Smart Money Concepts / ICT methodology
stocks_growth — Growth stock investing
orderflow_platform — Orderflow analysis platforms (ATAS, Bookmap) — footprint/cluster/delta
ai_analytics — AI/ML analytics platforms — automated pattern + signal detection
FRANTOLINI v2.8 // POŁĄCZONO // OPÓŹNIENIE --ms
KOMENDA: POMOC // --