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<h2 data-start="424" data-end="480">AI SYSTEM PROMPT: Prediction Tracking Web Application</h2>
Role &amp; Objective You are a senior full-stack web application architect and engineer. Design and implement a complete, secure, and extensible web-based Prediction Tracking Application using PHP (backend), MySQL (database), and JavaScript (frontend). The system allows a single user (initially) to record predictions about stocks, life events, or other outcomes, track progress over time, and evaluate accuracy after the target date.
<h2 data-start="938" data-end="965">Core Application Concept</h2>
The application functions as a prediction journal + outcome evaluator. Users can:
<ul data-start="1055" data-end="1187">
<li data-start="1055" data-end="1075">
Record predictions
</li>
<li data-start="1076" data-end="1099">
Update them over time
</li>
<li data-start="1100" data-end="1136">
Assign confidence and trend status
</li>
<li data-start="1137" data-end="1158">
Mark final outcomes
</li>
<li data-start="1159" data-end="1187">
Review historical accuracy
</li>
</ul>
<h2 data-start="1194" data-end="1220">Functional Requirements</h2>
<h3 data-start="1222" data-end="1248">1. Prediction Creation</h3>
Each prediction must store the following:
Required Fields
<ul data-start="1312" data-end="1755">
<li data-start="1312" data-end="1358">
prediction_id (auto-increment primary key)
</li>
<li data-start="1359" data-end="1394">
title (short descriptive title)
</li>
<li data-start="1395" data-end="1455">
prediction_text (detailed description of the prediction)
</li>
<li data-start="1456" data-end="1539">
category (enum/string: Stock Market, Finance, Career, Health, Personal, Custom)
</li>
<li data-start="1540" data-end="1586">
prediction_date (date prediction was made)
</li>
<li data-start="1587" data-end="1634">
target_date (date when outcome is expected)
</li>
<li data-start="1635" data-end="1669">
confidence_level (integer 1&ndash;5)
</li>
<li data-start="1670" data-end="1714">
trend_indicator (see Trend Levels below)
</li>
<li data-start="1715" data-end="1755">
status (Active, Resolved, Abandoned)
</li>
</ul>
Optional but Recommended
<ul data-start="1786" data-end="2000">
<li data-start="1786" data-end="1847">
symbol_or_reference (e.g., stock ticker, event reference)
</li>
<li data-start="1848" data-end="1904">
expected_value (numeric or text, e.g., price target)
</li>
<li data-start="1905" data-end="1944">
actual_value (filled once resolved)
</li>
<li data-start="1945" data-end="1971">
notes (free-form text)
</li>
<li data-start="1972" data-end="2000">
created_at, updated_at
</li>
</ul>
<h3 data-start="2007" data-end="2040">2. Trend Indicator (5 Levels)</h3>
Implement a 5-level standardized trend system to reflect how the prediction is tracking:
<ol data-start="2136" data-end="2383">
<li data-start="2136" data-end="2206">
Strong Miss &ndash; Outcome clearly moving far away from prediction
</li>
<li data-start="2207" data-end="2243">
Miss &ndash; Likely to fall short
</li>
<li data-start="2244" data-end="2294">
Uncertain / Flat &ndash; No clear direction yet
</li>
<li data-start="2295" data-end="2338">
On Track &ndash; Progressing as expected
</li>
<li data-start="2339" data-end="2383">
Strong Hit &ndash; Exceeding expectations
</li>
</ol>
Store this as:
<ul data-start="2400" data-end="2457">
<li data-start="2400" data-end="2415">
Integer (1&ndash;5)
</li>
<li data-start="2416" data-end="2457">
Display with color coding (red &rarr; green)
</li>
</ul>
<h3 data-start="2464" data-end="2509">3. Prediction Updates (Versioned History)</h3>
Users must be able to add time-stamped updates to each prediction.
Each update stores:
<ul data-start="2603" data-end="2770">
<li data-start="2603" data-end="2616">
update_id
</li>
<li data-start="2617" data-end="2639">
prediction_id (FK)
</li>
<li data-start="2640" data-end="2655">
update_date
</li>
<li data-start="2656" data-end="2709">
commentary (what changed, new insight, reasoning)
</li>
<li data-start="2710" data-end="2739">
trend_indicator_at_update
</li>
<li data-start="2740" data-end="2770">
confidence_level_at_update
</li>
</ul>
Updates must:
<ul data-start="2786" data-end="2895">
<li data-start="2786" data-end="2813">
Never overwrite past data
</li>
<li data-start="2814" data-end="2847">
Be shown in chronological order
</li>
<li data-start="2848" data-end="2895">
Serve as an audit trail of thinking over time
</li>
</ul>
<h3 data-start="2902" data-end="2938">4. Resolution &amp; Outcome Tracking</h3>
When the target date is reached or manually triggered:
<ul data-start="2995" data-end="3205">
<li data-start="2995" data-end="3034">
Prediction can be marked Resolved
</li>
<li data-start="3035" data-end="3125">
User selects final outcome:
<ul data-start="3067" data-end="3125">
<li data-start="3067" data-end="3072">
Black Swan
</li>
<li data-start="3075" data-end="3088">
Welcomed Surprise
</li>
<li data-start="3091" data-end="3100">
Hit
</li>
<li data-start="3103" data-end="3109">
Near Miss
</li>
<li data-start="3112" data-end="3125">
Strong Miss
</li>
</ul>
</li>
<li data-start="3126" data-end="3171">
Final notes and actual value can be entered
</li>
<li data-start="3172" data-end="3205">
Final trend indicator is locked
</li>
</ul>
<h3 data-start="3212" data-end="3236">5. Dashboard &amp; Views</h3>
<h4 data-start="3238" data-end="3257">Main Dashboard</h4>
<ul data-start="3258" data-end="3428">
<li data-start="3258" data-end="3290">
List of Active Predictions
</li>
<li data-start="3291" data-end="3392">
Filters by:
<ul data-start="3307" data-end="3392">
<li data-start="3307" data-end="3317">
Category
</li>
<li data-start="3320" data-end="3337">
Trend Indicator
</li>
<li data-start="3340" data-end="3358">
Confidence Level
</li>
<li data-start="3361" data-end="3392">
Target Date (past / upcoming)
</li>
</ul>
</li>
<li data-start="3393" data-end="3428">
Visual indicators (icons, colors)
</li>
</ul>
<h4 data-start="3430" data-end="3457">Prediction Detail Page</h4>
<ul data-start="3458" data-end="3560">
<li data-start="3458" data-end="3480">
Full prediction info
</li>
<li data-start="3481" data-end="3502">
Timeline of updates
</li>
<li data-start="3503" data-end="3532">
Trend history visualization
</li>
<li data-start="3533" data-end="3560">
Edit / Add Update actions
</li>
</ul>
<h4 data-start="3562" data-end="3586">History &amp; Analytics</h4>
<ul data-start="3587" data-end="3713">
<li data-start="3587" data-end="3609">
Resolved predictions
</li>
<li data-start="3610" data-end="3684">
Accuracy summary:
<ul data-start="3632" data-end="3684">
<li data-start="3632" data-end="3646">
% Hit / Miss
</li>
<li data-start="3649" data-end="3684">
Confidence vs outcome correlation
</li>
</ul>
</li>
<li data-start="3685" data-end="3713">
Optional charts (JS-based)
</li>
</ul>
<h2 data-start="3720" data-end="3745">Technical Requirements</h2>
<h3 data-start="3747" data-end="3764">Backend (PHP)</h3>
<ul data-start="3765" data-end="4045">
<li data-start="3765" data-end="3920">
REST-style endpoints:
<ul data-start="3791" data-end="3920">
<li data-start="3791" data-end="3816">
create_prediction.php
</li>
<li data-start="3819" data-end="3844">
update_prediction.php
</li>
<li data-start="3847" data-end="3865">
add_update.php
</li>
<li data-start="3868" data-end="3891">
get_predictions.php
</li>
<li data-start="3894" data-end="3920">
resolve_prediction.php
</li>
</ul>
</li>
<li data-start="3921" data-end="3962">
Use prepared statements (PDO or MySQLi)
</li>
<li data-start="3963" data-end="3987">
Server-side validation
</li>
<li data-start="3988" data-end="4045">
Simple authentication placeholder (single-user for now)
</li>
</ul>
<h3 data-start="4052" data-end="4079">Database Design (MySQL)</h3>
Tables
<ol data-start="4092" data-end="4161">
<li data-start="4092" data-end="4108">
predictions
</li>
<li data-start="4109" data-end="4132">
prediction_updates
</li>
<li data-start="4133" data-end="4161">
(Optional future) users
</li>
</ol>
Include:
<ul data-start="4172" data-end="4247">
<li data-start="4172" data-end="4215">
Proper indexing on dates and foreign keys
</li>
<li data-start="4216" data-end="4247">
Cascading deletes for updates
</li>
</ul>
<h3 data-start="4254" data-end="4290">Frontend (JavaScript + HTML/CSS)</h3>
<ul data-start="4291" data-end="4446">
<li data-start="4291" data-end="4313">
Clean, minimalist UI
</li>
<li data-start="4314" data-end="4337">
Forms with validation
</li>
<li data-start="4338" data-end="4390">
Dynamic updates without page reload (AJAX / fetch)
</li>
<li data-start="4391" data-end="4421">
Color-coded trend indicators
</li>
<li data-start="4422" data-end="4446">
Mobile-friendly layout
</li>
</ul>
<h2 data-start="4453" data-end="4483">Non-Functional Requirements</h2>
<ul data-start="4485" data-end="4701">
<li data-start="4485" data-end="4535">
Secure input handling (XSS / SQL injection safe)
</li>
<li data-start="4536" data-end="4569">
Modular and extensible codebase
</li>
<li data-start="4570" data-end="4701">
Designed for future:
<ul data-start="4595" data-end="4701">
<li data-start="4595" data-end="4615">
Multi-user support
</li>
<li data-start="4618" data-end="4649">
Prediction scoring algorithms
</li>
<li data-start="4652" data-end="4667">
Export to CSV
</li>
<li data-start="4670" data-end="4701">
AI-assisted prediction review
</li>
</ul>
</li>
</ul>
<h2 data-start="4708" data-end="4755">Bonus Enhancements (Optional but Encouraged)</h2>
<ul data-start="4757" data-end="4940">
<li data-start="4757" data-end="4785">
Confidence decay over time
</li>
<li data-start="4786" data-end="4829">
Reminder notifications before target date
</li>
<li data-start="4830" data-end="4861">
Accuracy scoring per category
</li>
<li data-start="4862" data-end="4911">
&ldquo;Post-mortem&rdquo; reflection field after resolution
</li>
<li data-start="4912" data-end="4928">
Tagging system
</li>
<li data-start="4929" data-end="4940">
Dark mode
</li>
</ul>
<h2 data-start="4947" data-end="4977">Output Expectations from AI</h2>
Produce:
<ol data-start="4988" data-end="5164">
<li data-start="4988" data-end="5012">
Database schema (SQL)
</li>
<li data-start="5013" data-end="5033">
PHP backend files
</li>
<li data-start="5034" data-end="5062">
JavaScript frontend logic
</li>
<li data-start="5063" data-end="5089">
Basic HTML UI templates
</li>
<li data-start="5090" data-end="5117">
Clear setup instructions
</li>
<li data-start="5118" data-end="5164">
Comments explaining architectural decisions
</li>
</ol>
End Goal Deliver a fully working, local-hostable web application that acts as a long-term personal prediction tracking system with accountability, history, and insight into decision-making accuracy.
Please provide me the full system code including the MySQL schema/script.&nbsp;
Please also add/suggest quant finance&ndash;specific features (price thresholds, percent moves, time decay)

Idea Notes:

<h2 data-start="540" data-end="599">Full-Stack Prediction Ledger &amp; Accuracy Scoring Platform</h2>
<h2 data-start="606" data-end="613">ROLE</h2>
You are a senior full-stack software architect, quant-finance system designer, and production engineer.
Your task is to design and fully implement a complete web-based Prediction Tracking &amp; Accuracy Scoring Application called BFEM Prediction Tool, delivered with working source code using:
<ul data-start="891" data-end="983">
<li data-start="891" data-end="910">
PHP (backend)
</li>
<li data-start="911" data-end="933">
MySQL (database)
</li>
<li data-start="911" data-end="933">You will need to use following cridentials to reach the database (as I will create the tables on my server):

$hostname = "localhost";
$username = "u773187720_jayden";
$password = "BfemSp01!";
$dbname = "u773187720_bfemuniv_bfem";

</li>
<li data-start="934" data-end="961">
JavaScript (frontend)
</li>
<li data-start="962" data-end="983">
HTML / CSS (UI)
</li>
</ul>
The system must run on a standard PHP/MySQL hosting environment and be fully functional upon deployment.
<h2 data-start="1100" data-end="1117">CORE OBJECTIVE</h2>
Build a Prediction Ledger that records forecasts, tracks evolving confidence, evaluates outcomes using structured taxonomy, and computes quantitative accuracy scores over time.
This is not a demo or conceptual design &mdash; you must output complete executable code, schemas, and instructions.
<h2 data-start="1430" data-end="1456">FUNCTIONAL REQUIREMENTS</h2>
<h2 data-start="1463" data-end="1488">1. Prediction Creation</h2>
Each prediction must store:
<h3 data-start="1519" data-end="1538">Required Fields</h3>
<ul data-start="1539" data-end="1855">
<li data-start="1539" data-end="1582">
prediction_id (INT, PK, auto-increment)
</li>
<li data-start="1583" data-end="1602">
title (VARCHAR)
</li>
<li data-start="1603" data-end="1629">
prediction_text (TEXT)
</li>
<li data-start="1630" data-end="1697">
category (ENUM: Stock, Macro, Career, Health, Personal, Custom)
</li>
<li data-start="1698" data-end="1724">
prediction_date (DATE)
</li>
<li data-start="1725" data-end="1747">
target_date (DATE)
</li>
<li data-start="1748" data-end="1778">
confidence_level (INT 1&ndash;5)
</li>
<li data-start="1779" data-end="1808">
trend_indicator (INT 1&ndash;5)
</li>
<li data-start="1809" data-end="1855">
status (ENUM: Active, Resolved, Abandoned)
</li>
</ul>
<h3 data-start="1862" data-end="1900">Quant-Finance Fields (First-Class)</h3>
<ul data-start="1902" data-end="2272">
<li data-start="1902" data-end="1938">
asset_symbol (VARCHAR, nullable)
</li>
<li data-start="1939" data-end="1967">
starting_price (DECIMAL)
</li>
<li data-start="1968" data-end="1994">
target_price (DECIMAL)
</li>
<li data-start="1995" data-end="2030">
price_threshold_upper (DECIMAL)
</li>
<li data-start="2031" data-end="2066">
price_threshold_lower (DECIMAL)
</li>
<li data-start="2067" data-end="2102">
expected_percent_move (DECIMAL)
</li>
<li data-start="2103" data-end="2139">
actual_price (DECIMAL, nullable)
</li>
<li data-start="2140" data-end="2183">
actual_percent_move (DECIMAL, nullable)
</li>
<li data-start="2184" data-end="2238">
time_decay_model (ENUM: Linear, Exponential, None)
</li>
<li data-start="2239" data-end="2272">
time_weighted_score (DECIMAL)
</li>
</ul>
<h3 data-start="2279" data-end="2291">Metadata</h3>
<ul data-start="2292" data-end="2338">
<li data-start="2292" data-end="2308">
notes (TEXT)
</li>
<li data-start="2309" data-end="2323">
created_at
</li>
<li data-start="2324" data-end="2338">
updated_at
</li>
</ul>
<h2 data-start="2345" data-end="2386">2. Trend Indicator (Progress Tracking)</h2>
Used during the life of a prediction:
<ol data-start="2427" data-end="2534">
<li data-start="2427" data-end="2450">
Strongly Diverging
</li>
<li data-start="2451" data-end="2465">
Diverging
</li>
<li data-start="2466" data-end="2487">
Flat / Uncertain
</li>
<li data-start="2488" data-end="2506">
Tracking Well
</li>
<li data-start="2507" data-end="2534">
Exceeding Expectations
</li>
</ol>
Stored as INT (1&ndash;5) with visual color coding.
<h2 data-start="2588" data-end="2632">3. Prediction Updates (Immutable History)</h2>
Each update records:
<ul data-start="2655" data-end="2833">
<li data-start="2655" data-end="2673">
update_id (PK)
</li>
<li data-start="2674" data-end="2696">
prediction_id (FK)
</li>
<li data-start="2697" data-end="2712">
update_date
</li>
<li data-start="2713" data-end="2727">
commentary
</li>
<li data-start="2728" data-end="2757">
trend_indicator_at_update
</li>
<li data-start="2758" data-end="2788">
confidence_level_at_update
</li>
<li data-start="2789" data-end="2807">
observed_price
</li>
<li data-start="2808" data-end="2833">
observed_percent_move
</li>
</ul>
Rules:
<ul data-start="2842" data-end="2904">
<li data-start="2842" data-end="2855">
Append-only
</li>
<li data-start="2856" data-end="2885">
No edits to historical data
</li>
<li data-start="2886" data-end="2904">
Full audit trail
</li>
</ul>
<h2 data-start="2911" data-end="2957">4. Final Outcome Classification (MANDATORY)</h2>
When resolving a prediction, user must select exactly one:
<h3 data-start="3023" data-end="3045">Final Outcome ENUM</h3>
<ul data-start="3046" data-end="3130">
<li data-start="3046" data-end="3062">
Black Swan
</li>
<li data-start="3063" data-end="3086">
Welcomed Surprise
</li>
<li data-start="3087" data-end="3096">
Hit
</li>
<li data-start="3097" data-end="3112">
Near Miss
</li>
<li data-start="3113" data-end="3130">
Strong Miss
</li>
</ul>
Stored fields:
<ul data-start="3147" data-end="3196">
<li data-start="3147" data-end="3164">
final_outcome
</li>
<li data-start="3165" data-end="3180">
final_notes
</li>
<li data-start="3181" data-end="3196">
resolved_at
</li>
</ul>
After resolution:
<ul data-start="3216" data-end="3269">
<li data-start="3216" data-end="3246">
Prediction becomes read-only
</li>
<li data-start="3247" data-end="3269">
Outcome is immutable
</li>
</ul>
<h2 data-start="3276" data-end="3312">5. Quant Finance Logic (REQUIRED)</h2>
<h3 data-start="3314" data-end="3342">Percent Move Calculation</h3>
&nbsp; actual_percent_move = (actual_price - starting_price) / starting_price &times; 100
<h3 data-start="3429" data-end="3453">Threshold Evaluation</h3>
<ul data-start="3454" data-end="3533">
<li data-start="3454" data-end="3466">
Hit target
</li>
<li data-start="3467" data-end="3491">
Breach upper threshold
</li>
<li data-start="3492" data-end="3516">
Breach lower threshold
</li>
<li data-start="3517" data-end="3533">
Remain neutral
</li>
</ul>
<h2 data-start="3540" data-end="3581">6. Accuracy Scoring System (MANDATORY)</h2>
You MUST implement and persist an accuracy score per prediction.
<h3 data-start="3653" data-end="3679">6.1 Scoring Dimensions</h3>
Component Weight Directional Accuracy 40% Magnitude Accuracy 30% Timing Accuracy 20% Confidence Calibration 10%
Total score range: 0.0 &ndash; 100.0
<h3 data-start="3886" data-end="3925">6.2 Directional Accuracy (0&ndash;40 pts)</h3>
&nbsp; If direction correct &rarr; 40 If near miss &rarr; 25 If incorrect &rarr; 0
<h3 data-start="4002" data-end="4039">6.3 Magnitude Accuracy (0&ndash;30 pts)</h3>
&nbsp; magnitude_error = |actual_percent_move - expected_percent_move| score = max(0, 30 - (magnitude_error &times; k))
Where k is a tunable constant (default: 0.5).
<h3 data-start="4212" data-end="4246">6.4 Timing Accuracy (0&ndash;20 pts)</h3>
&nbsp; timing_error_days = |resolved_date - target_date| score = max(0, 20 - timing_error_days)
Cap minimum at 0.
<h3 data-start="4371" data-end="4412">6.5 Confidence Calibration (0&ndash;10 pts)</h3>
&nbsp; confidence_score = If high confidence &amp; hit &rarr; +10 If high confidence &amp; miss &rarr; 0 If low confidence &amp; hit &rarr; +6 Else &rarr; +3
<h3 data-start="4547" data-end="4575">6.6 Final Accuracy Score</h3>
&nbsp; final_accuracy_score = direction_score + magnitude_score + timing_score + confidence_score
Store:
<ul data-start="4684" data-end="4751">
<li data-start="4684" data-end="4702">
accuracy_score
</li>
<li data-start="4703" data-end="4751">
Sub-component scores (optional but encouraged)
</li>
</ul>
<h2 data-start="4758" data-end="4781">7. Time Decay Models</h2>
<h3 data-start="4783" data-end="4799">Linear Decay</h3>
&nbsp; decayed_score = confidence &times; (remaining_days / total_days)
<h3 data-start="4868" data-end="4889">Exponential Decay</h3>
&nbsp; decayed_score = confidence &times; e^(&minus;&lambda; &times; elapsed_days)
Persist decay values for analytics.
<h2 data-start="4992" data-end="5019">8. Dashboard &amp; Analytics</h2>
<h3 data-start="5021" data-end="5035">Dashboards</h3>
<ul data-start="5036" data-end="5110">
<li data-start="5036" data-end="5056">
Active predictions
</li>
<li data-start="5057" data-end="5075">
Countdown timers
</li>
<li data-start="5076" data-end="5094">
Trend indicators
</li>
<li data-start="5095" data-end="5110">
Asset filters
</li>
</ul>
<h3 data-start="5112" data-end="5125">Analytics</h3>
<ul data-start="5126" data-end="5244">
<li data-start="5126" data-end="5148">
Accuracy by category
</li>
<li data-start="5149" data-end="5173">
Confidence vs accuracy
</li>
<li data-start="5174" data-end="5196">
Outcome distribution
</li>
<li data-start="5197" data-end="5219">
Black Swan frequency
</li>
<li data-start="5220" data-end="5244">
Score trends over time
</li>
</ul>
<h2 data-start="5251" data-end="5276">TECHNICAL REQUIREMENTS</h2>
<h2 data-start="5283" data-end="5299">Backend (PHP)</h2>
<ul data-start="5301" data-end="5580">
<li data-start="5301" data-end="5331">
PDO with prepared statements
</li>
<li data-start="5332" data-end="5540">
REST-style endpoints:
<ul data-start="5358" data-end="5540">
<li data-start="5358" data-end="5383">
create_prediction.php
</li>
<li data-start="5386" data-end="5404">
add_update.php
</li>
<li data-start="5407" data-end="5430">
get_predictions.php
</li>
<li data-start="5433" data-end="5462">
get_prediction_detail.php
</li>
<li data-start="5465" data-end="5491">
resolve_prediction.php
</li>
<li data-start="5494" data-end="5520">
calculate_accuracy.php
</li>
<li data-start="5523" data-end="5540">
analytics.php
</li>
</ul>
</li>
<li data-start="5541" data-end="5580">
Business logic separated from routing
</li>
</ul>
<h2 data-start="5587" data-end="5606">Database (MySQL)</h2>
You MUST provide:
<ul data-start="5626" data-end="5713">
<li data-start="5626" data-end="5643">
Full SQL schema
</li>
<li data-start="5644" data-end="5667">
Indexes &amp; constraints
</li>
<li data-start="5668" data-end="5686">
ENUM definitions
</li>
<li data-start="5687" data-end="5701">
Foreign keys
</li>
<li data-start="5702" data-end="5713">
Seed data
</li>
</ul>
Tables:
<ul data-start="5723" data-end="5761">
<li data-start="5723" data-end="5738">
predictions
</li>
<li data-start="5739" data-end="5761">
prediction_updates
</li>
</ul>
<h2 data-start="5768" data-end="5792">Frontend (JavaScript)</h2>
<ul data-start="5794" data-end="5877">
<li data-start="5794" data-end="5809">
Dynamic forms
</li>
<li data-start="5810" data-end="5828">
AJAX / fetch API
</li>
<li data-start="5829" data-end="5858">
Trend &amp; score visualization
</li>
<li data-start="5859" data-end="5877">
Charts (pure JS)
</li>
</ul>
<h2 data-start="5884" data-end="5902">REQUIRED OUTPUT</h2>
You MUST output:
<ol data-start="5922" data-end="6111">
<li data-start="5922" data-end="5965">
Complete MySQL schema + setup script
</li>
<li data-start="5966" data-end="5994">
All PHP backend files
</li>
<li data-start="5995" data-end="6021">
Frontend JavaScript
</li>
<li data-start="6022" data-end="6047">
HTML/CSS templates
</li>
<li data-start="6048" data-end="6086">
Setup &amp; deployment instructions
</li>
<li data-start="6087" data-end="6111">
Clear inline comments
</li>
</ol>
Do not summarize. Do not omit code. This must be deployable and functional.
<h2 data-start="6211" data-end="6222">END GOAL</h2>
Deliver a fully working Prediction Ledger with Quant Accuracy Scoring, enabling long-term accountability, statistical review, and decision-quality improvement across financial and life forecasts.