central-bank-analysis
Skill16 starsChanged 8 months agoMITView on GitHub
Decision Framework: - Dual mandate: maximum employment + price stability (2% PCE inflation target) - 8 scheduled meetings per year (roughly every 6 weeks) - Tools: federal funds rate, balance sheet (QE/QT), forward guidance, emergency facilities - Decision announced at 2:00 PM ET; press conference at 2:30 PM ET FOMC Communication Hierarchy: Dot Plot Analysis: SEP (Summary of Economic Projections): Framework: - Single mandate: price stability (2% HICP inflation, symmetric) - 6-week meeting cycle, decisions on Thursdays - Tools: main…
In this repository83 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- live-trading-monitoringSkill
- monte-carlo-simulationSkill
- overfitting-preventionSkill
- research-notebooksSkill
- strategy-evaluationSkill
- walk-forward-optimizationSkill
- cross-chain-arbitrageSkill
- crypto-derivativesSkill
- defi-protocolsSkill
- mev-strategiesSkill
- on-chain-analyticsSkill
- stablecoin-analysisSkill
- tokenomicsSkill
- yield-farmingSkill
- alternative-dataSkill
- data-qualitySkill
- data-vendorsSkill
- feature-engineeringSkill
- sentiment-analysisSkill
- web-scraping-financeSkill
- binomial-treesSkill
- black-scholesSkill
- credit-derivativesSkill
- exotic-optionsSkill
- hedging-strategiesSkill
- interest-rate-derivativesSkill
- monte-carlo-pricingSkill
- structured-productsSkill
- vol-surfacesSkill
- vol-tradingSkill
- execution-algosSkill
- latency-optimizationSkill
- market-microstructure-theorySkill
- order-flow-analysisSkill
- performance-metricsSkill
- smart-order-routingSkill
- tick-data-processingSkill
- transaction-cost-analysisSkill
- commodities-fundamentalsSkill
- economic-indicatorsSkill
- fx-fundamentalsSkill
- geopolitical-riskSkill
- yield-curve-analysisSkill
- alternative-allocationsSkill
- benchmark-trackingSkill
- black-littermanSkill
- factor-investingSkill
- markowitz-optimizationSkill
- portfolio-attributionSkill
- rebalancing-strategiesSkill
- risk-paritySkill
- alpha-researchSkill
- bayesian-methodsSkill
- deep-learning-tradingSkill
- factor-modelsSkill
- kalman-filtersSkill
- ml-for-financeSkill
- regime-detectionSkill
- The first 60 shown.
The file
We split this skill into the rules it gives an agent
1 rule. About 0 are common, 1 is distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 315
Before trading central bank events, verify:
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Central Bank Analysis
When to Activate
- Parsing central bank communications (statements, minutes, press conferences, speeches)
- Analyzing dot plots, SEP projections, and forward guidance
- Evaluating quantitative easing/tightening and balance sheet operations
- Comparing policy stances across central banks (Fed, ECB, BOJ, BOE, PBOC)
- Trading around central bank meetings and policy decisions
- Understanding Taylor Rule and policy rule frameworks
Core Concepts
Federal Reserve (FOMC)
Decision Framework:
- Dual mandate: maximum employment + price stability (2% PCE inflation target)
- 8 scheduled meetings per year (roughly every 6 weeks)
- Tools: federal funds rate, balance sheet (QE/QT), forward guidance, emergency facilities
- Decision announced at 2:00 PM ET; press conference at 2:30 PM ET
FOMC Communication Hierarchy:
1. FOMC Statement — official policy decision, key language changes tracked word-by-word
2. Press Conference — Chair's Q&A reveals nuance beyond statement
3. Summary of Economic Projections (SEP) — quarterly, includes dot plot
4. FOMC Minutes — released 3 weeks after meeting, shows debate depth
5. Fed speeches — individual members signal views between meetings
6. Beige Book — anecdotal economic conditions from 12 districtsDot Plot Analysis:
What it shows: Each FOMC participant's projection for year-end fed funds rate
Frequency: quarterly (March, June, September, December meetings)
Number of dots: 19 participants (12 voting, 7 non-voting)
Key metrics:
- Median dot: market-moving, represents "central tendency" of committee
- Distribution: tight cluster = consensus; wide spread = uncertainty
- Shift between meetings: direction of median shift signals policy trajectory
- Long-run dot: neutral rate estimate (~2.5-3.0% as of recent years)
Market reaction:
- Median dot above market pricing: hawkish surprise, yields rise
- Median dot below market pricing: dovish surprise, yields fall
- Dot plot has limited predictive accuracy (actual rates often deviate)
but moves markets because it represents committee's stated intentionsSEP (Summary of Economic Projections):
Variables projected:
- Real GDP growth
- Unemployment rate
- PCE inflation and core PCE inflation
- Federal funds rate (dot plot)
Reading the SEP:
- Compare current projections to previous SEP
- GDP revised up + unemployment revised down + inflation revised up = hawkish
- Watch for internal consistency: can inflation fall to target with projected growth?
- "Forecast error bands" show historical uncertainty around projectionsEuropean Central Bank (ECB)
Framework:
- Single mandate: price stability (2% HICP inflation, symmetric)
- 6-week meeting cycle, decisions on Thursdays
- Tools: main refinancing rate, deposit facility rate (key rate), APP, PEPP, TLTRO
- Governing Council: 6 Executive Board + 19 national CB governors (rotating voting)
ECB-Specific Tools:
TLTRO (Targeted Longer-Term Refinancing Operations):
- Long-term loans to banks at favorable rates
- Conditions tied to bank lending to real economy
- Unwinding TLTROs = tightening bank funding conditions
APP (Asset Purchase Programme) / PEPP (Pandemic Emergency Purchase Programme):
- Sovereign and corporate bond purchases
- Reinvestment policy: full reinvestment, partial, or runoff
- PEPP had flexible allocation across countries (helped periphery spreads)
TPI (Transmission Protection Instrument):
- Anti-fragmentation tool, can buy bonds of specific countries
- Conditionality: country must follow fiscal rules
- Backstop against peripheral spread blowout
- Untested — existence itself provides market reassuranceKey ECB Dynamics:
- Hawks vs doves: Northern vs Southern Europe divide
- Fragmentation risk: Italy/Spain spreads vs Germany (BTP-Bund spread)
- Fiscal rules: Stability and Growth Pact constrains fiscal policy
- Communication: Lagarde press conferences move markets less predictably than Fed
Bank of Japan (BOJ)
Framework:
- 2% inflation target (struggled to achieve for decades)
- Yield Curve Control (YCC): target 10Y JGB yield near a specified level
- Massive balance sheet: BOJ owns >50% of JGB market
- Negative Interest Rate Policy (NIRP): -0.1% on excess reserves (ended March 2024)
YCC Mechanics:
Original YCC (2016-2022): 10Y JGB target at 0%, ±0.25% band
Widened band (Dec 2022): ±0.50%
Further flexibility (Jul 2023): 0.5% as "reference," 1.0% hard cap
Ended YCC (Mar 2024): abandoned yield cap, normalized policy
Market impact:
- YCC exit was the most anticipated macro event for years
- JPY weakened massively during YCC (rate differential with US widened)
- YCC exit + rate hikes -> JPY appreciation (carry unwind)
- BOJ intervention: direct FX intervention when JPY weakness is "disorderly"BOJ Intervention:
FX intervention history:
- 2022: $60B+ in JPY buying intervention (Sep-Oct 2022, USD/JPY near 150)
- 2024: ~$62B intervention as USD/JPY hit 160
- Pattern: BOJ intervenes near round numbers (150, 155, 160)
- Effectiveness: buys time but cannot reverse fundamental FX trends
- "Rate check" calls to banks signal imminent intervention
Warning signs:
- Ministry of Finance verbal warnings escalate: "watching closely" -> "ready to act" -> "decisive action"
- BOJ checking rates with dealers
- Sudden $2-5 move in JPY within minutes during Asian sessionTaylor Rule
Standard Taylor Rule:
i = r* + pi + 0.5*(pi - pi*) + 0.5*(y - y*)
Where:
i = recommended federal funds rate
r* = neutral real rate (~0.5-1.0%)
pi = current inflation rate
pi* = target inflation rate (2%)
y - y* = output gap (actual GDP - potential GDP)
Example:
r* = 0.5%, pi = 3.5%, pi* = 2.0%, output gap = +1.0%
i = 0.5 + 3.5 + 0.5*(3.5-2.0) + 0.5*(1.0) = 5.25%
If actual fed funds = 5.25%: policy is "Taylor Rule neutral"
If actual < Taylor Rule: policy is accommodative
If actual > Taylor Rule: policy is restrictiveModified Taylor Rules:
- Inertia variant: adds smoothing parameter (central banks move gradually)
- Balanced approach: higher weight on output gap (more responsive to employment)
- First-difference rule: adjusts rate based on changes, not levels
- Different rules give different prescriptions — a range is more useful than a point estimate
Quantitative Easing / Tightening
QE (Quantitative Easing):
Mechanism:
1. Central bank creates reserves (digital money)
2. Purchases government bonds (and sometimes corporate bonds)
3. Reduces bond supply -> lowers yields -> eases financial conditions
4. Portfolio rebalancing: investors pushed into riskier assets
Channels of transmission:
- Duration extraction: removes long-duration assets from market
- Signaling: commitment to easy policy
- Portfolio balance: investors rebalance into equities, credit, EM
- Wealth effect: higher asset prices -> more spending
Estimated impact: $1T QE ≈ 25-50 bps lower 10Y yield (estimates vary widely)QT (Quantitative Tightening):
Mechanism:
1. Central bank allows bonds to mature without reinvestment
2. Reduces reserves in banking system
3. Increases bond supply -> raises yields -> tightens financial conditions
Fed QT (2022-present):
- Cap: $60B/month Treasuries + $35B/month MBS
- Actual pace: slower due to MBS prepayment dynamics
- Total balance sheet reduction: ~$2T from peak
Market impact:
- QT is "like watching paint dry" in normal conditions (Yellen)
- But can amplify volatility during stress (September 2019 repo crisis, March 2023 SVB)
- Reserve scarcity: when reserves fall below comfortable level, funding markets seizeMethodology
Pre-Meeting Analysis
- Compile market expectations — fed funds futures, OIS curves, options pricing
- Review recent data — has inflation/employment surprised since last meeting?
- Analyze member speeches — have members signaled direction during blackout-adjacent period?
- Map positioning — are markets already priced for the expected outcome?
- Define scenarios — rate decision + statement language + guidance changes
- Prepare trades — what to do in each scenario
Statement Parsing
Key phrases and their interpretation:
- "Data dependent": no preset path, each meeting is live
- "Further tightening may be appropriate": hawkish, more hikes expected
- "Prepared to adjust stance": pivot signal, cuts on the table
- "Patient": not rushing to change policy
- "Expeditiously": urgency to move rates
- "Some/several/many/most participants": graduated language for committee consensus level
Track word changes between statements:
- Additions/removals of qualifiers signal direction shifts
- Example: adding "slowing" before "inflation" = dovish shift
- Example: removing "transitory" = hawkish acknowledgmentCross-Central-Bank Divergence Analysis
Matrix:
Hiking | Holding | Cutting
Fed [ ] | [x] | [ ]
ECB [ ] | [ ] | [x]
BOJ [x] | [ ] | [ ]
BOE [ ] | [x] | [ ]
Divergence creates FX opportunities:
- Fed hold + ECB cut: EUR/USD downside
- Fed hold + BOJ hike: USD/JPY downside (carry unwind)
- Wide divergence = strong trend; convergence = range-boundExamples
Example 1: Dot Plot Shift Trade
Pre-meeting:
- Market pricing: 2 rate cuts for remainder of year
- Current median dot (from prior SEP): 3 cuts
- Recent CPI: 2 consecutive 0.4% core MoM prints
Outcome: Median dot revised to 1 cut (hawkish shift)
- Statement: "progress on inflation has stalled"
- Press conference: Powell says "need greater confidence" inflation is trending to 2%
Market reaction:
- 2Y yield: +18 bps
- S&P 500: -1.2%
- USD: +0.8% DXY
- Rate cut pricing: reduced to 1.5 cuts from 2.0
Trade: Pre-positioned short 2Y Treasury futures
Entry: before meeting (anticipated hawkish shift based on hot CPI)
Profit: 18 bps * $200 DV01 per contract = $3,600 per contract
Risk management: stop if dot plot showed 3+ cuts (would have been dovish surprise)Example 2: ECB Fragmentation Trade
Situation:
- ECB hiking aggressively to fight inflation
- Italy 10Y (BTP) - Germany 10Y (Bund) spread: 250 bps (widening)
- Italian political uncertainty (election, fiscal concerns)
- TPI announced but not activated
Trade: BTP-Bund spread compression
Thesis: ECB will activate TPI if spread exceeds 300 bps (implicit backstop)
Entry: buy 10Y BTP, sell 10Y Bund (duration-matched)
Entry spread: 250 bps
Target: 180 bps (compression as market prices in TPI backstop)
Stop: 320 bps (TPI activation threshold might be higher than expected)
Profit if spread compresses 70 bps:
70 bps * EUR 8.5 DV01 (10Y duration) per EUR 100K notional = EUR 5,950
Risk: Italian fiscal crisis escalates beyond ECB willingness to interveneExample 3: BOJ Policy Normalization
Setup (2024):
- BOJ ending NIRP and YCC
- USD/JPY at 155 (near intervention zone)
- Rate differential: US 5.25% vs Japan 0.1%
- Carry trade: massive speculative short JPY positions
Trade: Long JPY (short USD/JPY)
Thesis:
- BOJ normalization will gradually raise Japanese rates
- Rate differential will narrow (Fed expected to cut, BOJ to hike)
- Carry trade unwind will amplify JPY strength
- Intervention risk provides downside put on USD/JPY
Entry: short USD/JPY at 155
Target: 140 (carry unwind + rate convergence over 6 months)
Stop: 162 (new high, intervention failed thesis)
Negative carry: ~5% annualized (paying rate differential)
Risk management:
- Negative carry means time is the enemy — need directional move
- Size position conservatively (carry cost is material)
- Option alternative: buy 6-month USD/JPY put at 150 strike, defined riskQuality Gate
Before trading central bank events, verify:
- Market pricing is understood — what is already priced in via rates futures and OIS curves?
- Statement language changes are tracked systematically — use comparison tools
- Dot plot is interpreted correctly — median, not mean; voting vs non-voting members
- Balance sheet operations are factored in — QE/QT pace and composition affect curve segments differently
- Cross-central-bank divergence is mapped — FX is driven by relative policy, not absolute levels
- Positioning is assessed — crowded positioning amplifies surprise reactions
- Scenario analysis completed before the meeting — not during the press conference
- Risk/reward defined with stops — central bank surprises can cause >1% moves in minutes
- Post-meeting reaction window understood — initial move can reverse; full reaction takes hours/days
- Calendar for upcoming data releases reviewed — next data print may confirm or refute policy signal
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

