Selling Earnings Volatility — Magnificent Seven
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Executive Summary
This report evaluates the profitability of selling at-the-money (ATM) short straddles on the Magnificent Seven stocks in the 30 minutes prior to market close on earnings announcement days, closing the position in the second half of the following trading session. The strategy exploits the well-documented tendency for options markets to systematically overprice the magnitude of earnings-driven moves — a phenomenon known as the implied volatility (IV) crush .
Across 168 earnings events from Q1 2019 through Q4 2024, the strategy produced a combined total P&L of $18,476 trading one contract per event. However, the aggregate result masks substantial cross-sectional dispersion: five of seven stocks generated positive total P&L, while AMZN and META were net destroyers of capital, with AMZN alone accounting for a $21,317 loss driven by a catastrophic 2022 drawdown.
The headline finding is that this strategy is stock-specific, not universally applicable . MSFT stands out as the cleanest expression of the edge — high win rate, favourable risk-adjusted returns, shallow drawdown, and consistent profitability across all six years. TSLA offers the highest nominal return but with extreme regime dependency and an 8-trade losing streak. AMZN and META should be avoided.
1. Strategy Overview
Entry: Sell an ATM straddle on the nearest weekly expiry covering the earnings date, approximately 15–30 minutes before market close on the earnings announcement day.
Exit: Close the position in the second half of the following trading day, after IV crush has taken effect.
Rationale: Once earnings are released, uncertainty resolves and implied volatility collapses regardless of direction. A short straddle profits when the actual stock move is smaller than the move priced into the straddle at entry.
Core P&L Identity Profit ≈ Straddle Price Received − |Realised Stock Move|. Edge % = Implied Move % − |Realised Move %|, where Implied Move % = Straddle Price / Spot × 100.
2. Data & Methodology
Options data was sourced from OptionMetrics IvyDB via WRDS (optionm.opprcd{year}). End-of-day closing bid/ask quotes were used to compute mid-price straddle costs as a proxy for 3:45–4:00pm entry prices. Earnings announcement dates were obtained from the IBES Actuals database (ibes.act_epsus), with ticker corrections applied for Alphabet (GOOG) and Meta (FBK).
P&L approximation: Exit value is estimated as intrinsic value — the absolute dollar move in the underlying. This slightly overstates profitability on winning trades and is appropriate for historical analysis.
Margin assumption: 20% of notional (spot × 100 shares), consistent with standard broker requirements for naked short options.
3. Cross-Ticker Results
AAPL
Moderate +$3,254
total P&L
MSFT
★ Strong +$8,749
total P&L
NVDA
★ Strong +$8,011
total P&L
AMZN
Avoid −$21,317
total P&L
GOOGL
Marginal +$107
total P&L
META
Avoid −$7,720
total P&L
TSLA
Selective +$27,394
total P&L
Figure 1 — Total P&L per Ticker
Figure 2 — Avg Implied Move vs Avg Realised Move (%)
Stocks where implied exceeds realised exhibit systematic IV overpricing. META is the only stock where realised moves consistently exceeded implied.
Figure 3 — Risk-Adjusted Return Metrics
Figure 4 — Win Rate vs Payoff Ratio
MSFT is the only stock with both a win rate above 70% and a payoff ratio above 1.0. TSLA’s 2.73x payoff comes with only a 50% win rate.
4. Regime Analysis — Year-by-Year Breakdown
AAPL
MSFT
NVDA
AMZN
GOOGL
META
TSLA
AAPL — Annual P&L
Key Regime Observations
2020 (COVID): TSLA exploded to +$23,467 (100% win rate). AMZN lost $9,439 on violent moves. MSFT and NVDA remained profitable.2022 (Rate shock): Most destructive year. AMZN lost $36,890. META lost $7,679. NVDA was the exception at 4/4.2021: Best year broadly — low realised vol, elevated premiums. TSLA went 4/4 for +$11,167.2023–2024: TSLA deteriorated to 0% win rate both years. MSFT and AAPL remained constructive.
5. Comprehensive Risk Metrics Table
Ticker Win% AvgEdge% Payoff Sharpe Sortino Calmar MaxDD Skew Kurt ROM%
AAPL 66.7% 0.87% 0.886 0.193 0.159 1.200 −$2,711 −2.735 10.294 3.53% MSFT 75.0% 1.40% 1.259 0.520 1.300 7.968 −$1,098 0.112 −0.385 6.96% NVDA 70.8% 1.61% 0.634 0.154 0.161 1.178 −$6,802 −0.980 2.043 4.91% AMZN 58.3% −0.03% 0.494 −0.112 −0.109 −0.436 −$48,942 −1.131 1.980 −2.74% GOOGL 50.0% 0.08% 1.003 0.001 0.002 0.007 −$14,277 0.306 1.015 0.02% META 50.0% −1.66% 0.619 −0.157 −0.159 −0.537 −$14,372 −1.586 3.109 −5.80% TSLA 50.0% 0.09% 2.733 0.315 1.189 2.917 −$9,392 1.827 4.470 11.26%
ROM = Return on Margin per trade. Sharpe, Sortino, Calmar on a per-trade basis. Skewness <−1 and kurtosis >3 indicate meaningful tail risk.
6. Individual Stock Verdicts
MSFT ★ Strong Edge — Best Risk-Adjusted Expression
A 75% win rate combined with a payoff ratio of 1.26x is rare in short volatility — MSFT wins more often and wins bigger than it loses. The Calmar ratio of 7.97 means total P&L is nearly 8× the max drawdown. MSFT generated positive annual P&L in all six years including 2022. At $5,241 margin per contract, the 6.96% return on margin per trade is the most capital-efficient result in the study.
NVDA ★ Strong Edge — High Reward, High Risk
Highest avg edge % (1.61%) and a 70.8% win rate. However, the payoff ratio of 0.63x means losing trades are 1.6× larger than winners on average. The 2024 deterioration is notable — 0% win rate as AI-driven earnings reactions became less predictable. Suitable for traders comfortable with concentrated tail risk, with strict position sizing.
AAPL Positive Edge — Modest but Reliable
Consistent 66.7% win rate and avg P&L of $136 per contract. The critical warning is AAPL’s extreme distribution: skewness of −2.74 and excess kurtosis of 10.29 are the most extreme in the sample. A single bad quarter can wipe out multiple years of gains. Suitable only with pre-defined stop rules.
TSLA Positive Total P&L — Highly Regime-Dependent
A 2.73x payoff ratio produced the highest total P&L ($27,394), driven almost entirely by 2020–2021 where TSLA went 8/8. Since 2022, TSLA has gone 2/8. A trader running this from 2023 onwards lost $7,242 over 8 trades. The edge has structurally deteriorated and cannot be relied upon going forward.
GOOGL Marginal — No Reliable Edge
$106.50 total P&L over 24 events, Sharpe of 0.001. The market appears to price GOOGL earnings moves fairly on average. With $22,312 of margin required per contract, there is no statistical basis for running this strategy on GOOGL.
META Avoid — Negative Edge
The avg realised move (9.30%) exceeded the avg implied move (7.64%) — options systematically underpriced earnings moves. Avg edge of −1.66%, the worst in the sample. Negative Sharpe, Sortino, and Calmar. Return on margin is −5.80% per trade.
AMZN Avoid — Catastrophic Tail Risk
Total loss of $21,317. Payoff ratio of 0.49x means losses are on average 2× larger than wins. Max drawdown of $48,942 would require 15 average winning trades to recover. With $32,466 in average margin per contract, do not run this strategy on AMZN.
7. Risk Considerations
Tail Risk & Short Vol Asymmetry Short straddles have theoretically unlimited loss potential. Five of seven tickers exhibit negative P&L skewness. AAPL’s kurtosis of 10.29 is an extremely fat-tailed distribution — a single severe earnings shock can negate years of small gains.
Transaction Costs All P&L figures use mid-prices. In practice, crossing the bid-ask spread on both legs at entry and exit could cost $40–$100 per contract round trip. The true edge, net of transaction costs, will be lower than reported.
Regime Dependency The strategy’s profitability is non-stationary. 2022 was destructive across multiple tickers. TSLA’s edge has reversed since 2022. Any live deployment must monitor whether the conditions for IV overpricing still hold before each event.
Margin & Liquidity Short naked straddles require significant margin. Size positions so that margin represents no more than 2–5% of total account equity per trade. Brokers can increase margin requirements intraday in volatile markets.
EOD Data Approximation This study uses end-of-day options prices as a proxy for 3:45pm entry. Results should be treated as directionally accurate rather than precisely replicable.
8. Conclusion & Trader Verdict
The empirical evidence from 2019–2024 supports the hypothesis that short straddles on earnings events can generate a systematic edge for selected Magnificent Seven stocks — but the strategy is stock-specific and the risk profile demands careful selection and rigorous position sizing.
TRADE
MSFT · NVDA · AAPL
Positive edge, manageable risk, consistent profitability
SELECTIVE
TSLA · GOOGL
Edge present historically but deteriorating or unreliable
AVOID
AMZN · META
Negative expected value, catastrophic drawdown potential
If forced to choose a single ticker, MSFT represents the most compelling expression of this strategy — the only stock combining a win rate above 70%, a payoff ratio above 1.0, positive P&L in every calendar year, and a Calmar ratio that would satisfy most institutional risk mandates.
For live deployment: trade MSFT and AAPL as core positions, add NVDA opportunistically when implied moves appear elevated relative to historical realisation rates, and run a pre-trade screen before every event. Skip any event where the current implied move falls below the 40th percentile of that stock’s historical realised earnings moves.
const imgs = {
AAPL: 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”,
MSFT: 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”,
NVDA: 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”,
AMZN: 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”,
GOOGL: 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7KWLl2qxx9/XB9//LFuuukmdevWTW3bttWff/6prVu36s8//1SLFi20du1atWrVqkD7++67TytWrFBYWJgmTJigV155Rd27d1fTpk119uxZHTt2TN9//71ycnLUvXt3+fr6FlrH7bffXuTnFBERoYiIiFJ8shUn93McOnRovqdnXs3Pz09dunTRt99+q3Xr1mnw4MGVVOFfnn/+eS1fvlwzZ85UQkKC2rVrp++//17Hjh1TZGSkZs+ene/4rl27ql+/ftq4caP8/PwUEBAg6a/Ld5s0aaIHHnhAq1atqtRzkCQ3NzetXLlS/fv318cff6wNGzaoa9eu8vb21s8//6xdu3bJ2dlZr776qubOnaspU6aoSZMmhb6zcd68edqwYUORY3311VcVeCYAUDkIiABQxfXq1UvJycmaN2+eVq9erR9++EE7duyQu7u7rr/+ej344IMaOnSo7r33Xrm4FPzav+WWW3TgwAHNnj1bn3zyib766iudP39eTZo00ZAhQxQeHp7vvsGr1apVS8uWLdOGDRv0wQcfaPv27dqzZ4/q1q2rTp06KTg4WM8884zq1q1bZB/BwcHq06eP3nvvPa1bt07fffed0tPTVadOHbVs2VIjR47UQw89pKCgoLx72q729ddfF9n/gAEDrvEJVp6cnBwtWbJEkvK9+7AoDz/8sL799lt9+OGHlR4Q/f39tXnzZk2cOFE7d+7U4cOH1bNnTy1btkyJiYmFtlm1apWmTJmiZcuWaf369WratKkeeughvfbaawUuT65MnTp10t69ezVz5kzFxsbmBblWrVpp9OjRGjNmjNq0aaNBgwapV69eeu6559SoUSM9/vjj+fpJSUlRSkqKPU4BACqNxdjqcWIAAAAAgCqNexABAAAAAJIIiAAAAAAAKwIiAAAAAEASAREAAAAAYEVABAAAAABIIiACAAAAAKwIiAAAAAAASQREAAAAAIAVAREAAAAAIImACAAAAACwIiACAAAAACQREAEAAAAAVgREAAAAAIAkAiIAAAAAwIqAWAr333+/7r//fnuXAQAAAAAVwsXeBVQlycnJ9i4BAAAAACqMXVYQLRZLqdv07dtXFotFFotFx48fL7A/LCxMFotFCQkJNqgQAAAAAGqeKnGJ6cKFC7Vp06YyBUsAAAAAQMlUSkA0xmju3Lnq0qWLateuLUny8PCQr6+vQkNDFR8fX2Tb3377TePGjVP//v3VsmXLyigXAAAAAGqkSgmIEydO1KhRo5SUlKSAgABJ0r333isPDw8tW7ZMsbGxRbYdO3asLly4oNmzZ1dGqQAAAABQY1V4QExPT9eMGTPk4eGhXbt2af369ZKkmJgYJSYm6sCBAxo8eHChbTds2KAlS5boX//6l9q1a1em8TMzMxUSEiKLxaIhQ4YoIyOjrKcCAAAAANVahT/FdN++fcrKytKgQYPUuXPnAvv9/Pzk5+dXYPv58+f19NNPq0OHDpowYUKZxj537pyCg4MVHx+vkSNH6v3335ezs3OZ+gIAAACA6q7CA6KHh4ckFfrk0Wt5+eWXdeTIESUkJMjNza3U46ampmrgwIHauXOnxo8fr6ioqBK39ff3L3R7cnJymVcyAQAAAMDRVfglpv7+/vLx8dHu3bs1bNgwbd++vdg23377rWbNmqXhw4erT58+pR4zJSVFvXv31s6dOzV16tRShUMAAAAAqKkqfAXRyclJK1asUHBwsBYvXqzFixdLkrp3766goCCFh4fLx8cn7/js7GxFRETI09NT06dPL/V4hw4dUlhYmI4dO6b3339fTzzxRKn7SEpKKnR7USuLAAAAAFAdVMpTTDt37qx9+/Zp2bJlCg8PlyTt2rVL06ZNU8eOHfM9oXTmzJlKTExUVFSUmjRpUuqxIiMjdfToUU2dOrVM4RAAAAAAaqpKCYiS5ObmppCQEM2bN0+SdPr0aU2bNk2SNHr0aO3fv1+StGbNGlksFi1atEgBAQH5fk6dOiVJCgkJUUBAgDZs2FBgnNDQUFksFkVHR+f1CQAAAAAoXoVfYloULy8vPf/88zp9+rSio6MVFxenDh06SJKMMdqyZUuRbb/66itJUlhYWIF9ERER6tmzpyIjIxUUFKSEhIRCn5IKAAAAAMjPbgExV8uWLSUp7/2ECQkJRR7bunVrHT16VMeOHVOLFi2KPO7pp59WTk6O/vGPfygwMFBffPFFvvscAQAAAAAFVfglpomJiZozZ06hL6hPS0vT/PnzJUldu3a16bjPPPOMZs2apRMnTigwMFDJyck27R8AAAAAqpsKD4hnzpxRZGSkWrRooUceeUSTJk2SJI0cOVK+vr764YcfNGDAAAUFBdl87DFjxig6OlrHjx9XYGCgfv75Z5uPAQAAAADVRYUHxB49eigmJkZ33XWX9uzZo+joaEnSkiVL1KxZM7366quKjY2tsPHHjh2r6dOn69ixYwoMDNSRI0cqbCwAAAAAqMosxhhT6YNaLLLDsOWW+x7Eot6TCDiKjOwsuTu72rsMh8ZnBAAAUJDdH1IDwPbcnV11y+qndDkn296lOCQXJ2ftuX+uvcsAAABwOAREoJq6nJOty4aAWKgcexcAAADgmCr8HsTCVMXLSwEAAACgurNLQAQAAAAAOB4CIgAAAABAEgERAAAAAGBFQAQAAAAASCIgAgAAAACsCIgAAAAAAEkERAAAAACAFQERAAAAACCJgAgAAAAAsCIgAgAAAAAkERABAAAAAFYERAAAAACAJAIiAAAAAMCKgAgAAAAAkERABAAAAABYERABAAAAAJIIiAAAAAAAKwIiAAAAAEASAREAAAAAYEVABAAAAABIIiACAAAAAKwIiAAAAAAASQREAAAAAIAVAREAAAAAIImACAAAAACwIiACAAAAACQREAEAAAAAVgREAAAAAIAkAiIAAAAAwIqACAAAAACQREAEAAAAAFgREAEAAAAAkgiIAAAAAAArAiIAAAAAQBIBEQAAAABgRUAEAAAAAEgiIAIAAAAArAiIAAAAAABJBEQAAAAAgBUBEQAAAAAgiYAIAECNlJGdZe8SqgQ+JwA1jYu9CwAAAJXP3dlVt6x+Spdzsu1disNycXLWnvvn2rsMAKhUBEQAAGqoyznZumwIiEXKsXcBAFD5uMQUAAAAACCJgAgAAAAAsCIgAgAAAAAkERABAAAAAFYERAAAAACAJAIiAAAAAMCKgAgAAAAAkERABAAAAABYERABAAAAAJIIiAAAAAAAKwIiAAAAAEASAREAAAAAYEVABAAAAABIIiACAAAAAKwIiAAAAAAASQREAAAAAIAVAREAAAAAIImACAAAAACwIiACAAAAACQREAEAAAAAVgREAAAAAIAkAiIAAAAAwMouAdFisRS5LycnR19++aUmTJigW2+9VfXq1ZO7u7vatWunUaNG6eeffy60XVhYmCwWixISEiqoagAAAACo3lzsXcDVDh8+rN69e0uSvL29FRQUJGdnZ+3cuVNz587VkiVLtG7dOvXq1cvOlQIAAABA9VIpK4jGGM2dO1ddunRR7dq1JUkeHh7y9fVVaGio4uPj8461WCzq16+fNm3apBMnTmjVqlX65JNPlJycrLCwMJ09e1aPPvqosrKyKqN0AAAAAKgxKiUgTpw4UaNGjVJSUpICAgIkSffee688PDy0bNkyxcbG5h3brl07ffbZZwoKCsp3Kaq7u7tmz56tBg0a6JdfftH27dsro3QAAAAAqDEqPCCmp6drxowZ8vDw0K5du7R+/XpJUkxMjBITE3XgwAENHjy4RH3Vrl1bfn5+kqQTJ06UqE1mZqZCQkJksVg0ZMgQZWRklOk8AAAAAKC6q/B7EPft26esrCwNGjRInTt3LrDfz88vL/QVJycnR0ePHpX01/2JxTl37pyCg4MVHx+vkSNH6v3335ezs3PpTgAAAAAAaogKD4geHh6SpOPHj5e7r6VLl+rXX3+Vl5eXevTocc1jU1NTNXDgQO3cuVPjx49XVFRUicfx9/cvdHtycrLatWtXqpoBAAAAoKqo8EtM/f395ePjo927d2vYsGFlvnfw2LFjGjt2rCTplVdekbu7e5HHpqSkqHfv3tq5c6emTp1aqnAIAAAAADVVha8gOjk5acWKFQoODtbixYu1ePFiSVL37t0VFBSk8PBw+fj4XLOP8+fPa8iQIfr99981ePBgjRo1qshjDx06pLCwMB07dkzvv/++nnjiiVLXnJSUVOj2olYWAQAAAKA6qJSnmHbu3Fn79u3TsmXLFB4eLknatWuXpk2bpo4dO2r27NlFts3KylJISIh2796tXr16acmSJdccKzIyUkePHtXUqVPLFA4BAAAAoKaqlIAoSW5ubgoJCdG8efMkSadPn9a0adMkSaNHj9b+/fsLtMnJydHw4cO1fv163XLLLVqzZk3eexSLEhoaKovFoujo6EL7BAAAAAAUrtIC4tW8vLz0/PPPa/To0crJyVFcXFyBY0aPHq2lS5fKz89PcXFx8vT0LLbfiIgIvfvuuzp16pSCgoJ08ODBCqgeAAAAAKofuwXEXC1btpSkAu8nfPHFFzV79my1bNlSGzduVNOmTUvc59NPP6133nlHJ0+eVGBgoH766Seb1gwAAAAA1VGFB8TExETNmTOn0BfUp6Wlaf78+ZKkrl275m2Pjo7WlClT5O3trfj4+LwQWRrPPPOMZs2apRMnTigwMFDJycllPwkAAAAAqAEq/CmmZ86cUWRkpF5++WX169dPvr6+kqSRI0dq9erVSk1N1YABAxQUFCRJ2rNnj8aNGydJatOmjaZMmVJovxEREerVq9c1xx4zZoxycnL0//7f/1NgYKC++OILtWnTxoZnBwAAAADVR4UHxB49eigmJkYrV67Unj17tHbtWknSkiVL1K5dO40dO1bjx4/POz49PV3GGEnSjh07tGPHjkL7DQgIKDYgStLYsWOVnZ2t//mf/1FgYKASEhLUunXr8p8YAAAAAFQzFpObxipzUItFdhi23HLfg1jUexIBR3JjbIQum2x7l+GQXCzO+mHwPHuXAdgd3xPXxncFgJrI7g+pAQAAAAA4BgIiAAAAAECSnQJiVby8FAAAAACqO1YQAQAAAACSCIgAAAAAACsCIgAAAABAEgERAAAAAGBFQAQAAAAASCIgAgAAAACsCIgAAAAAAEkERAAAAACAFQERAAAAACCJgAgAAAAAsCIgAgAAAAAkERABAAAAAFYERAAAAACAJAIiAAAAAMCKgAgAAAAAkERABAAAAABYERABAAAAAJIIiAAAAAAAKwIiAAAAAEASAREAAAAAYEVABAAAAABIIiACAAAAAKwIiAAAAAAASQREAAAAAIAVAREAAAAAIImACAAAAACwIiACAAAAACQREAEAAAAAVgREAAAAAIAkAiIAAAAAwIqACAAAAACQREAEAAAAAFgREAEAAAAAkgiIAAAAAAArAiIAAAAAQBIBEQAAAABgRUAEAAAAAEgiIAIAAAAArAiIAAAAAABJBEQAAAAAgBUBEQAAAAAgiYAIAAAAALAiIAIAAAAAJBEQAQAAAABWBEQAAAAAgCQCIgAAAADAioAIAAAAAJBEQAQAAAAAWBEQAQAAAACSCIgAAAAAACsCIgAAAABAEgERAAAAAGBFQAQAAIAkKSM7y94lODw+I1R3LvYuAAAAAI7B3dlVt6x+Spdzsu1dikNycXLWnvvn2rsMoEIREAEAAJDnck62LhsCYqFy7F0AUPG4xBQAAAAAIImACAAAAACwIiACAAAAACQREAEAAAAAVgREAAAAAIAkAiIAAAAAwIqACAAAAACQREAEAAAAAFgREAEAAAAAkgiIAAAAAAAruwREi8VSouMWLlyo2267TR4eHmrUqJEGDhyo7du3F3psWFiYLBaLEhISbFgpAAAAANQcDruCOHbsWI0YMUI//PCD+vbtq9tuu00bN25U7969FRsba+/yAAAAAKDaqZSAaIzR3Llz1aVLF9WuXVuS5OHhIV9fX4WGhio+Pj7f8fHx8Zo1a5YaN26s7777TrGxsdqwYYO2bNkiZ2dnjRgxQunp6ZVROgAAAADUGJUSECdOnKhRo0YpKSlJAQEBkqR7771XHh4eWrZsWYEVwRkzZkiSXnzxRfn6+uZtv+OOOzRq1Cilp6dr/vz5lVE6AAAAUGNlZGfZuwSHV90+I5eKHiA9PV0zZsyQh4eHtm3bps6dO8tisSgmJkaSdPDgQf3yyy95x1+8eFGbN2+WJA0dOrRAf0OHDtXbb7+tNWvWaNy4ccWOn5mZqUcffVTLly9XcHCwli5dKnd3dxudHQAAAFB9uTu76pbVT+lyTra9S3FILk7O2nP/XHuXYVMVHhD37dunrKwsDRo0SJ07dy6w38/PT35+fnm/P3DggDIyMuTl5aUWLVoUOL5Lly6SpL179xY79rlz5xQcHKz4+HiNHDlS77//vpydnctxNn9dLnvx4sVy9QFUisxsyeTYuwrHZBH/HQMS3xPFqanfFcyLotXQOXH5UqYuMycKZ8l2yDmRe1tfWVR4QPTw8JAkHT9+vETH564mFhYOJalu3bry9PRUWlqazp49q3r16hV6XGpqqgYOHKidO3dq/PjxioqKKnHN/v7+hW5PTk6WxWLRnXfeWeK+AHupZe8CHNydUfx3DPA9Ubya+F3BvLg25gSu5ohzYvfu3WVuW+H3IPr7+8vHx0e7d+/WsGHDinxNRa5z585JkurUqVPkMXXr1pUknT17ttD9KSkp6t27t3bu3KmpU6eWKhwCAAAAQE1V4SuITk5OWrFihYKDg7V48WItXrxYktS9e3cFBQUpPDxcPj4+Nhvv0KFDCgsL07Fjx/T+++/riSeeKHUfSUlJhW739/eXMUZffvllecu0udOP3itdvmzvMhyTi4uaLV5r7yoAu+N74hr4ngAAQFIlBERJ6ty5s/bt26dVq1YpLi5O8+fP165du7Rz505Nnz5ds2bNUmRkpKT/uyT1woULRfZ3/vx5SSr08tLIyEhdvnxZb7zxRpnCYXEsFku5rumtKLVyuF+gSDnZDvlnBlQ2vieuge8JAAAkVdJrLiTJzc1NISEhmjdvniTp9OnTmjZtmiRp9OjR2r9/vySpZcuWkoq+Z/H8+fNKT09Xw4YNCw2IoaGhslgsio6OzusTAAAAAFC8SguIV/Py8tLzzz+v0aNHKycnR3FxcZKk9u3by93dXb/99ptSUlIKtPv2228lqdAnokpSRESE3n33XZ06dUpBQUE6ePBgxZ0EAAAAAFQjdguIuXJXDDMyMiT99UjWoKAgSdLHH39c4Pjly5dLku67774i+3z66af1zjvv6OTJkwoMDNRPP/1k67IBAAAAoNqp8ICYmJioOXPm5AXAK6WlpWn+/PmSpK5du+Ztf+655yRJr732mg4dOpS3fceOHZo7d648PT0VHh5+zXGfeeYZzZo1SydOnFBgYKCSk5NtcToAAAAAUG1VeEA8c+aMIiMj1aJFCz3yyCOaNGmSJGnkyJHy9fXVDz/8oAEDBuStGkpS37599eyzzyo1NVW33HKLBg8erIEDB6p37966fPmyFixYIE9Pz2LHHjNmjKKjo3X8+HEFBgbq559/rqjTBAAAAIAqr8IDYo8ePRQTE6O77rpLe/bsUXR0tCRpyZIlatasmV599VXFxsYWaDdz5kwtWLBAHTt21MaNG7Vjxw717dtXW7Zs0eDBg0s8/tixYzV9+nQdO3ZMgYGBOnLkiG1ODAAAAACqGYsxxlT6oBaL7DBsufn7+0sq+j2J9nRqcICUnW3vMhyTs7O8YxPsXQVgd3xPXAPfEwAASHKAh9QAAAAAABwDAREAAAAAIMlOAbEqXl4KAAAAANUdK4gAAAAAAEkERAAAAACAFQERAAAAACCJgAgAAAAAsCIgAgAAAAAkERABAAAAAFYERAAAAACAJAIiAAAAAMCKgAgAAAAAkERABAAAAABYERABAAAAAJIIiAAAAAAAKwIiAAAAAEASAREAAAAAYEVABAAAAABIIiACAAAAAKwIiAAAAAAASQREAAAAAIAVAREAAAAAIImACAAAAACwIiACAAAAACQREAEAAAAAVgREAAAAAIAkAiIAAAAAwIqACAAAAACQREAEAAAAAFgREAEAAAAAkgiIAAAAAAArAiIAAAAAQBIBEQAAAABgRUAEAAAAAEgiIAIAAAAArAiIAAAAAABJBEQAAAAAgBUBEQAAAAAgiYAIAAAAALAiIAIAAAAAJBEQAQAAAABWBEQAAAAAgCQCIgAAAADAioAIAAAAAJBEQAQAAAAAWBEQAQAAAACSCIgAAAAAACsCIgAAAABAEgERAAAAAGBFQAQAAAAASCIgAgAAAACsCIgAAAAAAEkERAAAAACAFQERAAAAACCJgAgAAAAAsCIgAgAAAAAkERABAAAAAFYERAAAAACAJAIiAAAAAMCKgAgAAAAAkERABAAAAABYERABAAAAAJIIiAAAAAAAKwIiAAAAAEASAREAAAAAYEVABAAAAABIIiACAAAAAKwIiAAAAAAASRUYEC0WS5nbnj59WvPnz1dwcLBatGghNzc3eXp6qk+fPlq0aJGMMQXaHDlyRBaLRQEBAeWoGgAAAABqLhd7F1CYcePGafHixXJxcVHXrl3Vq1cvpaSkaOvWrdqyZYvWrl2rmJgYOTs727tUAAAAAKg2bLaCaIzR3Llz1aVLF9WuXVuS5OHhIV9fX4WGhio+Pr7EfTVu3FhTpkzRiRMntGPHDsXExOjLL7/UV199pfr162v58uWaP3++rUoHAAAAAMiGAXHixIkaNWqUkpKS8i7zvPfee+Xh4aFly5YpNja2xH3NmjVL//znP+Xl5ZVve7du3fTCCy9IkpYuXWqr0gEAAAAAslFATE9P14wZM+Th4aFdu3Zp/fr1kqSYmBglJibqwIEDGjx4sC2G0s033yxJOnHiRInbJCQkqEGDBqpXr542b95skzoAAAAAoLqxyT2I+/btU1ZWlgYNGqTOnTsX2O/n5yc/Pz9bDKXDhw9Lkry9vUt0/KpVq/TQQw/Jw8ND69atU7du3WxSBwAAAABUNzYJiB4eHpKk48eP26K7ImVlZWn27NmSpAceeKDY4xcuXKiIiAg1b95cn332mTp06FCicfz9/QvdnpycrHbt2pW8YAAAAACoQmxyiam/v798fHy0e/duDRs2TNu3b7dFtwW89NJL2rdvn9q0aaNRo0Zd89gZM2Zo5MiR8vHx0datW0scDgEAAACgprLJCqKTk5NWrFih4OBgLV68WIsXL5Ykde/eXUFBQQoPD5ePj0+5xoiJiVFUVJRq1aqlJUuWqE6dOkUe+69//Uuvv/66unTpog0bNhR42E1xkpKSCt1e1MoiAAAAAFQHFlPYW+fLKDMzU6tWrVJcXJzmz58vi8UiY4xcXFw0a9YsRUZGSpKmTZum/fv352vboUOHvCeUXm3z5s0aOHCgLl++rOXLlxf6wJsjR46oTZs2cnFx0eXLl+Xt7a0DBw6ofv36tjq9vIBYVIC0p1ODA6TsbHuX4ZicneUdm2DvKgC743viGvieAABAkg1fcyFJbm5uCgkJ0bx58yRJp0+f1rRp0yRJo0ePzguFGzZs0KJFi/L9bNiwodA+d+3apQceeECZmZn6z3/+U+zTUDt16qTOnTvr1KlTmjRpku1ODgAAAACqOZsGxKt5eXnp+eef1+jRo5WTk6O4uDhJf712whiT7ychIaFA+x9//FH33HOPzp07pxkzZmjEiBHFjtmwYUPFx8frxhtv1MyZMzVu3DhbnxYAAAAAVEsVGhBztWzZUpKUkZFR4jZHjhxR//79lZqaqsmTJ2vs2LElbuvl5aVNmzbJ399fM2bM0IQJE0pbMgAAAADUODYJiImJiZozZ06hATAtLU3z58+XJHXt2rVE/f3666/q37+/UlJSNG7cuDJdKtq0aVNt2rRJHTt21JtvvqmJEyeWug8AAAAAqEls8hTTM2fOKDIyUi+//LL69esnX19fSdLIkSO1evVqpaamasCAAQoKCipRf0899ZQOHTqkOnXq6Pfff1dYWFiBY5o0aaLp06dfs59mzZpp8+bNCggI0LRp0+Ts7KzXXnut1OcHAAAAADWBTQJijx49FBMTo5UrV2rPnj1au3atJGnJkiVq166dxo4dq/Hjx5e4v7S0NEnShQsXtGjRokKPadWqVbEBUZK8vb31+eefKyAgQFOmTJGzs7P+/e9/l7gWAAAAAKgpbPqai3wdW19xUZ3wmosqisfXA5L4nrgmvicAAJBUSQ+pAQAAAAA4PgIiAAAAAEBSBQbE6nZ5KQAAAABUd6wgAgAAAAAkERABAAAAAFYERAAAAACAJAIiAAAAAMCKgAgAAAAAkERABAAAAABYERABAAAAAJIIiAAAAAAAKwIiAAAAAEASAREAAAAAYEVABAAAAABIIiACAAAAAKwIiAAAAAAASQREAAAAAIAVAREAAAAAIImACAAAAACwIiACAAAAACQREAEAAAAAVgREAAAAAIAkAiIAAAAAwIqACAAAAACQREAEAAAAAFgREAEAAAAAkgiIAAAAAAArAiIAAAAAQJLkYu8CYCMu/FEWic8GAAAAKBH+5lwNmMxMeS+Pt3cZDs1kZsri5mbvMgAAAACHxiWm1QDBp3h8RgAAAEDxCIgAAAAAAEkERAAAAACAFQERAAAAACCJgAgAAAAAsCIgAgAAAAAkERABAAAAAFYERAAAAACAJAIiAAAAAMCKgAgAAAAAkERABAAAAABYERABAAAAAJIIiAAAAAAAKwIiAAAAAEASAREAAAAAYEVABAAAAABIIiACAAAAAKwIiAAAAAAASQREAAAAAIAVAREAAAAAIImACAAAAACwIiACAAAAACQREAEAAAAAVgREAAAAAIAkAiIAAAAAwIqACAAAAACQREAEAAAAAFgREAEAAAAAkgiIAAAAAAArAiIAAAAAQBIBEQAAAABgRUAEAAAAAEgiIAIAAAAArAiIAAAAAABJBEQAAAAAgBUBEQAAAAAgiYAIAAAAALAiIAIAAAAAJFVgQLRYLDbtb8uWLXJycpLFYlFERESB/UeOHJHFYlFAQIBNxwUAAACAmqJKrCBmZGToySeftHcZAAAAAFCt2SwgGmM0d+5cdenSRbVr15YkeXh4yNfXV6GhoYqPjy9z36+99poOHjyo8PBwW5ULAAAAALiKzQLixIkTNWrUKCUlJeVd5nnvvffKw8NDy5YtU2xsbJn6TUpKUlRUlMLDw9WzZ09blQsAAAAAuIpNAmJ6erpmzJghDw8P7dq1S+vXr5ckxcTEKDExUQcOHNDgwYNL3a8xRk8++aQaNGigN954o8z1JSQkqEGDBqpXr542b95c5n4AAAAAoDpzsUUn+/btU1ZWlgYNGqTOnTsX2O/n5yc/P79S9ztnzhxt375d//3vf9WoUaMy1bZq1So99NBD8vDw0Lp169StW7cy9QMAAAAA1Z1NAqKHh4ck6fjx47boTpKUkpKiiRMnKjAwUI899liZ+li4cKEiIiLUvHlzffbZZ+rQoUOJ2vn7+xe6PTk5We3atStTLQAAAADg6Gxyiam/v798fHy0e/duDRs2TNu3by93n//4xz906dIlzZkzp0ztZ8yYoZEjR8rHx0dbt24tcTgEAAAAgJrKJiuITk5OWrFihYKDg7V48WItXrxYktS9e3cFBQUpPDxcPj4+Je7vk08+UWxsrF5++WW1b9++1PX861//0uuvv64uXbpow4YN8vLyKlX7pKSkQrcXtbIIAAAAANWBTQKiJHXu3Fn79u3TqlWrFBcXp/nz52vXrl3auXOnpk+frlmzZikyMlKSNG3aNO3fvz9f+w4dOuiFF17Qn3/+qdGjR8vX11f//Oc/S13Htm3b9MUXX8jb21uff/656tevb5PzAwAAAIDqzmKMMRXSscWiX3/9VR988IFefPFF5eTkKCkpSR06dFBAQIC++OKLfMf36dNHCQkJSkhIUGBgoFq3bq1WrVrlO+bUqVM6cOCAvL291b59e3l7eysmJkaSdOTIEbVp0ybvITl79+7V2LFjFR0dbbNzyl1BLGqFEQAc2anBAVJ2tr3LcEzOzvKOTbB3FQAA2J3NVhAL4+Xlpeeff16nT59WdHS04uLi1KFDByUkJBTb9siRIzpy5Eih+06dOqVTp04VCJCS1LBhQ3388ccKCgrSzJkz5eTkpLfeequcZwIA1YBLhX7lV218NgAASKrggJirZcuWkqSMjIxijw0ICFBRi5oLFy7UiBEjFB4ernnz5hXZh5eXlzZt2qSgoCDNmDFDzs7OioqKKlvxAFANmMxMeS+Pt3cZDs1kZsri5mbvMgAAsCubPMU0MTFRc+bMKTQApqWlaf78+ZKkrl272mK4EmnatKk2bdqkjh076s0339TEiRMrbWwAcDQEn+LxGQEAYKOAeObMGUVGRqpFixZ65JFHNGnSJEnSyJEj5evrqx9++EEDBgxQUFCQLYYrsWbNmmnz5s1q3769pk2bphdffLFSxwcAAACAqsQmAbFHjx6KiYnRXXfdpT179uQ9GGbJkiVq1qyZXn31VcXGxtpiqFLLfZqpn5+fpkyZkhdeAQAAAAD5VehTTCuoa7vhKaYAAAAAqjObrCACAAAAAKo+AiIAAAAAQFIFBsTqdnkpAAAAAFR3rCACAAAAACQREAEAAAAAVgREAAAAAIAkAiIAAAAAwIqACAAAAACQREAEAAAAAFgREAEAAAAAkiSL4YWFJVavXj1lZWWpXbt29i4FAAAAAArVrl07rV69ukxtWUEshbp168rV1dXeZTi05ORkJScn27sMOBjmBa7GnMDVmBO4GnMChWFeVDxWEGFT/v7+kqSkpCQ7VwJHwrzA1ZgTuBpzAldjTqAwzIuKxwoiAAAAAEASAREAAAAAYEVABAAAAABIIiACAAAAAKwIiAAAAAAASTzFFAAAAABgxQoiAAAAAEASAREAAAAAYEVABAAAAABIIiACAAAAAKwIiAAAAAAASQREAAAAAIAVAREAAAAAIImACAAAAACwIiDWMBcuXFBsbKzCw8PVvn171apVS3Xr1tXNN9+sV155RefOnSuy7cKFC3XbbbfJw8NDjRo10sCBA7V9+/ZCjz1//rw+/PBDjR49Wt27d5e7u7ssFosmT55cbI3r169Xv3795OnpqTp16uimm25SVFSUsrKyynraKEZlzYv9+/frjTfeUGBgoJo0aSJXV1d5e3tryJAh+vLLL69Z4/HjxzVixAg1b95ctWrVkp+fnyZNmqRLly6V69xROEefE59++qn+9a9/qW/fvvL09JTFYlFAQEB5TxvX4Mhz4vTp05o/f76Cg4PVokULubm5ydPTU3369NGiRYtkjLHJZ4D8HHlOpKWlaeLEierbt69atWqlOnXqqE6dOvL399eECRP0+++/2+QzQEGOPC8Ks2XLFjk5OclisSgiIqLU51stGdQo//nPf4wkI8l07NjRhISEmLvvvtvUq1fPSDIdOnQwp0+fLtDu2WefNZJM7dq1zQMPPGDuvvtu4+LiYpydnc3KlSsLHJ+YmJg3zpU/kyZNumZ906ZNM5KMk5OTueOOO8wDDzxgmjZtaiSZvn37mszMTBt9ErhSZc2L66+/3kgyHh4epm/fvubBBx80N954o5FkLBaLiY6OLrS+Q4cOmSZNmhhJ5sYbbzQPPvigadu2rZFkevbsaS5dumTjTwSOPicaNGhQ4PulT58+tv0QkI8jz4lHH33USDIuLi7m9ttvN6GhoaZXr17GycnJSDJDhw41ly9froBPpWZz5Dnx/fffG0mmUaNG5s477zShoaFm4MCBeX+naN68uTl8+HAFfCpw5HlxtUuXLpn27dsbi8ViJJnw8HAbfAJVHwGxhlm4cKF58sknzY8//phv+4kTJ8zf/vY3I8k8/PDD+fZt3LjRSDKNGzc2Bw8ezNu+fft24+bmZjw9PU1aWlq+Nj/99JMJDw837733nvnmm2/MK6+8UmxA3Llzp7FYLMbV1dVs2LAhb/uZM2dMYGCgkWRef/31sp88ilRZ8+Kuu+4y//3vf83FixfzbX/vvfeMJOPs7GySkpIK1NezZ08jyYwZMyZvW1ZWlgkODi7RPzyg9Bx9TowcOdK8+eab5vPPPzefffYZAbESOPKcGDNmjJkyZYr59ddf823fuXOnqV+/vpFk5s6dW9ZTRxEceU6kp6eb3bt3m+zs7HzbL168aB577DEjyfz9738v66njGhx5XlztxRdfNBaLxURERBAQr0BARJ7t27cbScbd3d1kZGTkbb/nnnuMpEL/JWbMmDFGkpk+ffo1+546dWqxf5EPDw83kswTTzxRYN+BAweMxWIxTZo04V+BK1lFzosr9e/f30gykydPzrf966+/NpJM06ZNC6wUnjp1yri6upqGDRuarKys0p0Yyszec+JqO3bsICDamaPNiSu9/vrrRpIJCAgocRuUnyPPiWPHjhlJpmHDhiVuA9twpHnxww8/GDc3NxMREWEWLFhAQLwC9yAiz8033yxJysjIUGpqqiTp4sWL2rx5syRp6NChBdrkbluzZk25x//mm28kqdD7iPz8/NS8eXP9/vvv2rZtW7nHQslV1rzIHefEiRP5tn/66aeSpPvuu0/u7u759jVr1kx33nmn0tLStHXr1hKPhfKx95yA43HkOcE8sg9HnhOurq6SJDc3txK3gW04yrwwxujJJ59UgwYN9MYbb5T8BGoIAiLyHD58WNJfX5yNGjWSJB04cEAZGRny8vJSixYtCrTp0qWLJGnv3r3lHv/8+fOSpIYNGxa6v3HjxpKk7777rtxjoeQqa17kjuPt7Z1ve+6fd26fthgL5WPvOQHH48hzgnlkH446J7KysvIemDdo0KASjwPbcJR5MWfOHG3fvl1vvfVWXh34Py72LgCOY9asWZKkAQMG5K3U/PLLL5JU6H+wklS3bl15enoqLS1NZ8+eVb169co8vpeXlw4dOqSjR48W2GeMydte2H5UnMqYF8nJyVq7dq0k6f7778+3r7ixcrczLyqPvecEHI+jzomsrCzNnj1bkvTAAw+UqA1sw5HmRHh4uLKzs5WWlqZvvvlGKSkp6tmzp6Kiokp9XigfR5gXKSkpmjhxogIDA/XYY4+V+VyqM1YQIUlat26d5s+fL1dXV7366qt523MfRVynTp0i29atW1eSdPbs2XLV0Lt3b0nSokWLCuxbsWKFzpw5Y5NxUHKVMS8uX76ssLAwZWRkKDQ0VLfeemu+/cWNZav5h5JxhDkBx+LIc+Kll17Svn371KZNG40aNapEbVB+jjYnFi1apEWLFmn16tVKSUlRQECAPvroo7wrk1A5HGVe/OMf/9ClS5c0Z86cspxGjUBAhPbv369hw4bJGKM333wz77rtyhYZGal69erpq6++0uOPP65Dhw4pPT1dy5Yt01NPPSUXl78WvJ2cmLaVobLmxZgxY7R161a1bds271/64ZiYE7iaI8+JmJgYRUVFqVatWlqyZMk1//IJ23HEOXH58mUZY3TixAl9/PHHOn78uG666SbFxcVVSG0oyFHmxSeffKLY2Fi98MILat++fYXUUB3wN+0aLiUlRQMGDFBaWpqee+45Pfvss/n2e3h4SPrrpadFyb13sDyXl0rSDTfcoE8++USenp768MMP5efnp4YNGyo0NFTt2rXTyJEjJRV9jyJsp7LmxZQpUzRnzhw1a9ZMcXFxhd4HUNxYtpp/uDZHmhNwDI48JzZv3qywsDA5OTlp6dKluv3220tySignR54TknTddddp6NChio+Pl8ViUVhYWN54qDiOMi/+/PNPjR49Wr6+vvrnP/9Z1tOpGez2/FTYXWpqqunUqZORZEaMGGFycnIKHJP7wnsvL69C+zh37lyJHhVdktdc5Prjjz/M7NmzTWRkpBk9erRZunSpyczMzHsR8kcffVSi80PZVNa8mDNnjpFkGjRoYBITE4s87oEHHjCSzLvvvlvo/v/5n/8xksysWbOufWIoM0ebE1fjNReVz5HnxM6dO42Hh4exWCzmgw8+KFEblJ8jz4nCDBw40EgymzZtKnMfKJ4jzYvPP//cSDKtW7c2ffr0yffTvn17I8l4e3ubPn36mNDQ0DKdb3VBQKyhzp49a2677TYjyQwZMqTIdwteuHDBuLu7G0nm+PHjBfZv2bKlRH8xK01ALErbtm2Nk5OT+eWXX8rcB66tsubF0qVLjZOTk6lTp47ZunXrNWt6+eWXr/luoqCgICPJfP7559fsB2XjiHPiagTEyuXIcyIpKck0bty4yPepoWI48pwoyuOPP24kmZiYmHL1g6I52rzIDYgl+WnVqlVZTrnaICDWQJcuXcr7S/Xdd9+d70WlhbHFy0vLGxDXrl1rJJmBAweWqT2KV1nz4tNPPzWurq7Gzc3NxMXFFVvX119/bSSZpk2bmkuXLuXbd+rUKePq6moaNmxoMjMzi+0LpeOoc+JqBMTK48hz4ueffzbXX399qV+ajvJx5DlRlMuXL5u2bdsaSWbXrl3l6guFq2rzYsGCBdf8x+iahoBYw1y+fNkEBwcbSebOO+8058+fL7bNxo0bjSTTuHFjc/Dgwbzt27dvN+7u7sbT09OkpaVds4+SBsTdu3cXuPxg27ZtxsvLy9SqVcvs37+/2HpRepU1L7Zu3Wpq165tXFxczMqVK0tcX8+ePY0k8+yzz+Zty8rKMkOGDCn3yjQK5+hz4koExMrhyHPi9OnTxtfX10gy48aNK81poRwceU4sXbrU7N27t8D21NRUM3LkSCPJ3HTTTYVe8ojyceR5URQCYn4WY4wp9OZEVEuzZs3S2LFjJUnBwcGqX79+ocdNnz5dTZo0yfv92LFjNWvWLNWpU0f9+vVTZmamNm7cKGOMli9frsGDBxfoIzg4WCdPnpQknThxQseOHdP111+f956b6667TitXrszXpnXr1srOztaNN96ohg0b6tChQ/rmm29Uq1Ytffzxx7zUtoJU1rxo2LCh0tPT1aZNm7zXmlytV69eioiIyLft0KFDuuOOO5SamqqbbrpJnTp10q5du3T48GH16NFDmzdvznufEmzD0efEq6++qk8//VTSX49IT0pKUr169dSpU6e8Y1auXKnrrruutKeOIjjynAgODlZsbKzq1KmjkJCQQts0adJE06dPL8UZoziOPCfCwsK0aNEitW3bVjfddJPq1KmjlJQUffvttzp37pyuv/56bdy4UR07dizfh4ACHHleFGXhwoUaMWKEwsPDNW/evJKdaHVmv2wKe5g0aVKJrr3++eefC7RdsGCBufXWW02dOnWMp6enGTBggNm2bVuRY7Vq1arU13dPnTrVdO/e3TRq1Mi4ubmZVq1amSeffNIkJyfb8FPA1SprXpRkjOHDhxfa9pdffjFhYWHG29vbuLm5GR8fH/PSSy+Zixcv2vCTQC5HnxPDhw8vU20oO0eeE3369Cm2TU2/p6giOPKc+PLLL01kZKS5+eabTZMmTYyLi4vx9PQ0t99+u5kyZYpJT0+vgE8Exjj2vCgKK4j5sYIIAAAAAJDEexABAAAAAFYERAAAAACAJAIiAAAAAMCKgAgAAAAAkERABAAAAABYERABAAAAAJIIiAAAAAAAKwIiAAAAAEASAREAAAAAYEVABAAAAABIIiACAAAAAKwIiAAAAAAASQREAAAAAIAVAREAAAAAIImACAAAAACwIiACAAAAACQREAEAAAAAVv8fHB0/k3eU7N0AAAAASUVORK5CYII=”,
META: 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EQAqCJy8y4p1xAQi5RX0QUAAFDxuMUUAAAAACCJgAgAAAAAsCEgAgAAAAAkERABAAAAADYERAAAAACAJAIiAAAAAMCGgAgAAAAAkERArBSyLuVUdAluj+8IAAAAuDqvii4ApefjWU23LntCuXksgO2Il4en9tw/s6LLAAAAANweAbGSyM27pFxDQHQor6ILAAAAAP4YuMUUAAAAACCJgAgAAAAAsCEgAgAAAAAkERABAAAAADYERAAAAACAJAIiAAAAAMCGgAgAAAAAkERABAAAAADYEBABAAAAAJIIiAAAAAAAGwIiAAAAAEASAREAAAAAYENABAAAAABIIiACAAAAAGwIiAAAAAAASQREAAAAAIANAREAAAAAIImACAAAAACwISACAAAAACQREAEAAAAANgREAAAAAIAkAiIAAAAAwIaACAAAAACQREAEAAAAANgQEAEAAAAAkgiIAAAAAAAbAiIAAAAAQBIBEQAAAABgQ0AEAAAAAEgiIAIAAAAAbAiIAAAAAABJBEQAAAAAgA0BEQAAAAAgiYAIAAAAALAhIAIAAAAAJFVQQLRYLE4dN3v2bHXo0EFWq1V169ZV7969tXXrVofHRkVFyWKxKCUlxYWVAgAAAEDV4bZXEEePHq1hw4Zp37596tGjhzp06KA1a9bo7rvvVmJiYkWXBwAAAACVTrkERGOMZs6cqXbt2qlGjRqSJKvVquDgYEVGRmrt2rUFjl+7dq2mT5+uevXq6auvvlJiYqJWr16tjRs3ytPTU8OGDVNmZmZ5lA4AAAAAVUa5BMSxY8dq5MiRSk1NVXh4uCSpb9++slqtSkhIKHRFcMqUKZKkF198UcHBwfbtHTt21MiRI5WZmam4uLjyKB0AAAAAqowyD4iZmZmaMmWKrFarduzYoVWrVkmS4uPjtXv3bh08eFD9+/e3H3/hwgUlJydLkgYOHFiov/xt//nPf5waPzs7W4MGDZLFYtEDDzygrKysUp4RAAAAAFROXmU9wP79+5WTk6M+ffqobdu2hfaHhIQoJCTE/t8HDx5UVlaWAgIC1LRp00LHt2vXTpK0d+/eq4599uxZDRgwQGvXrtXw4cP13nvvydPTsxRnc/l22QsXLpSqjzKRfUkyeRVdhXuyyD3/zIDyxs+J4vGzAgBQSeQ/1lcSZR4QrVarJCk9Pd2p448ePSpJDsOhJNWsWVN+fn7KyMjQmTNnVKtWLYfHnTp1Sr1799b27dv1f//3f5o8ebLTNYeGhjrcnpaWJovFoq5duzrdV3mpXtEFuLmuk93vzwwob/ycuDp+VgAAKoOdO3eWuG2Z32IaGhqqoKAg7dy5U0OGDClymYp8Z8+elST5+voWeUzNmjUlSWfOnHG4/9ixY7r77ru1fft2/etf/7qmcAgAAAAAVVWZX0H08PDQp59+qgEDBmjevHmaN2+eJOnOO+9URESEoqOjFRQU5LLxDh06pKioKP34449677339Nhjj11zH6mpqQ63h4aGyhijTZs2lbZMoMydfKSvlJtb0WW4Jy8vNZy3vKKrANwCPyuKUUV/VjAnisGcwJUq4Zwo84AoSW3bttX+/fu1dOlSJSUlKS4uTjt27ND27dv15ptvavr06YqJiZH0v1tSz58/X2R/586dkySHt5fGxMQoNzdXkyZNKlE4vBqLxVKqe3qB8lI9j+fNipR3ib/HgA0/K4pRRX9WMCeKwZzAlSrhnCiXZS4kydvbW4MGDdIHH3wgSTp58qQmTpwoSYqNjdWBAwckSddff72kop9ZPHfunDIzM+Xv7+8wIEZGRspisWjq1Kn2PgEAAAAAV1duAfFKAQEBev755xUbG6u8vDwlJSVJklq2bCkfHx/98ssvOnbsWKF2X375pSQ5fCOqJI0YMULvvPOOTpw4oYiICH377bdldxIAAAAAUIlUWEDMl3/FMH99who1aigiIkKS9MknnxQ6ftGiRZKk++67r8g+n3zySb399tv66aef1K1bN3333XeuLhsAAAAAKp0yD4i7d+/WjBkzHC5Qn5GRobi4OElS+/bt7dufeeYZSdJrr72mQ4cO2bdv27ZNM2fOlJ+fn6Kjo4sd969//aumT5+u48ePq1u3bkpLS3PF6QAAAABApVXmAfH06dOKiYlR06ZNNXjwYL388suSpOHDhys4OFj79u1Tr1697FcNJalHjx56+umnderUKd16663q37+/evfurbvvvlu5ubmaNWuW/Pz8rjr2qFGjNHXqVKWnp6tbt276/vvvy+o0AQAAAOAPr8wDYqdOnRQfH6/u3btrz549mjp1qiRp/vz5atiwocaPH6/ExMRC7aZNm6ZZs2apdevWWrNmjbZt26YePXpo48aN6t+/v9Pjjx49Wm+++aZ+/PFHdevWTUeOHHHNiQEAAABAJWMxxphyH9RiUQUMW2qhoaGSil4nEXAnJ/qHS5cuVXQZ7snTU4GJKRVdBeAW+FlRjCr6s+LEwB6seVcULy8FLlpb0VWUO35OFKMS/pwol3UQAQAA4P5MdnaVDEDXwmRny+LtXdFlAGWmwt9iCgAAAPdA8Lk6viNUdhUSEP+It5cCAAAAQGXHFUQAAAAAgCQCIgAAAADAhoAIAAAAAJBEQAQAAAAA2BAQAQAAAACSCIgAAAAAABsCIgAAAABAEgERAAAAAGBDQAQAAAAASCIgAgAAAABsvCq6AABlxIu/3kXiuwEAAHCI35KASshkZytw0dqKLsOtmexsWby9K7oMAAAAt8ItpkAlRPC5Or4jAACAwgiIAAAAAABJBEQAAAAAgA0BEQAAAAAgiYAIAAAAALAhIAIAAAAAJBEQAQAAAAA2BEQAAAAAgCQCIgAAAADAhoAIAAAAAJBEQAQAAAAA2BAQAQAAAACSCIgAAAAAABsCIgAAAABAEgERAAAAAGBDQAQAAAAASCIgAgAAAABsCIgAAAAAAEkERAAAAACADQERAAAAACCJgAgAAAAAsCEgAgAAAAAkERABAAAAADYERAAAAACAJAIiAAAAAMCGgAgAAAAAkERABAAAAADYEBABAAAAAJIIiAAAAAAAGwIiAAAAAEASAREAAAAAYENABAAAAABIIiACAAAAAGwIiAAAAAAASQREAAAAAIANAREAAAAAIImACAAAAACwISACAAAAACQREAEAAAAANgREAAAAAIAkAiIAAAAAwKbMAqLFYilx25MnTyouLk4DBgxQ06ZN5e3tLT8/P4WFhWnOnDkyxhRqc+TIEVksFoWHh5eiagAAAACourwqugBHnn32Wc2bN09eXl5q3769unTpomPHjmnz5s3auHGjli9frvj4eHl6elZ0qQAAAABQabjsCqIxRjNnzlS7du1Uo0YNSZLValVwcLAiIyO1du1ap/uqV6+eJkyYoOPHj2vbtm2Kj4/Xpk2b9Pnnn6t27dpatGiR4uLiXFU6AAAAAEAuDIhjx47VyJEjlZqaar/Ns2/fvrJarUpISFBiYqLTfU2fPl0vvPCCAgICCmy/4447NGbMGEnSggULXFU6AAAAgKJ4eUmennwcfbzc8obMUnHJGWVmZmrKlCmyWq3asmWL2rZtK4vFovj4eEnSt99+q6NHj7piKN1yyy2SpOPHjzvdJiUlRf369VNeXp6WLl2qiIgIl9QCAAAAVGYmO1uBi5y/E7AqMtnZsnh7V3QZLuOSgLh//37l5OSoT58+atu2baH9ISEhCgkJccVQOnz4sCQpMDDQqeOXLl2qhx56SFarVStXrtQdd9zhkjoAAACAyq4yBZ+yUtm+I5cERKvVKklKT093RXdFysnJ0bvvvitJ6tev31WPnz17tkaMGKHGjRvrs88+U6tWrZwaJzQ01OH2tLQ0tWjRwvmCAQAAAOAPxCXPIIaGhiooKEg7d+7UkCFDtHXrVld0W8hLL72k/fv364YbbtDIkSOLPXbKlCkaPny4goKCtHnzZqfDIQAAAABUVRbjaFHBEti7d68GDBhgvwVUkjp06KCIiAhFR0crKCioVP3Hx8dr8ODB8vHx0fr163XXXXcV2H/kyBHdcMMNCgsLU+fOnfX666+rXbt2Wr16daGX3ZRU/pXF1NRUl/QHAEBFO9E/XLp0qaLLcE+engpMTKnoKgCgXLksIEpSdna2li5dqqSkJMXFxcliscgYIy8vL02fPl0xMTGSpIkTJ+rAgQMF2rZq1cr+htIrJScnq3fv3srNzdWiRYvUv3//QsfkB0QvLy/l5uYqMDBQBw8eVO3atV11egREAEClQ0AsBgERQBXk0oBYoGOLRT///LM+/PBDvfjii8rLy1NqaqpatWql8PBwbdiwocDxYWFhSklJKdTPjh07FBERoXPnzikuLk7Dhg1zOF5+QMx/Sc7evXs1evRoTZ061WXnREAEAFQ2BMRiEBABVEEuWwfRkYCAAD3//POKjY1VXl6ekpKSJF1edsIYU+DjKBx+8803+tOf/qSzZ89qypQpRYbD3/P399fatWt18803a9q0aXr22WddfVoAAAAAUCmVaUDMd/3110uSsrKynG5z5MgR3XvvvTp16pReeeUVjR492um2AQEBWrdunUJDQzVlyhT9/e9/v9aSAQAAAKDKcUlA3L17t2bMmOEwAGZkZCguLk6S1L59e6f6+/nnn3Xvvffq2LFjevbZZ/Xyyy9fc00NGjTQunXr1Lp1a73xxhsaO3bsNfcBAAAAAFWJS9ZBPH36tGJiYjRu3Djdc889Cg4OliQNHz5cy5Yt06lTp9SrVy9FREQ41d8TTzyhQ4cOydfXV7/++quioqIKHVO/fn29+eabxfbTsGFDJScnKzw8XBMnTpSnp6dee+21az4/AAAAAKgKXBIQO3XqpPj4eC1ZskR79uzR8uXLJUnz589XixYtNHr0aP3f//2f0/1lZGRIks6fP685c+Y4PKZZs2ZXDYiSFBgYqPXr1ys8PFwTJkyQp6enXn31VadrAQAAAICqokzfYlpGXVcY3mIKAKhseItpMXiLKYAqqFxeUgMAAAAAcH8ERAAAAACApDIMiJXt9lIAAAAAqOy4gggAAAAAkERABAAAAADYEBABAAAAAJIIiAAAAAAAGwIiAAAAAEASAREAAAAAYENABAAAAABIIiACAAAAAGwIiAAAAAAASQREAAAAAIANAREAAAAAIImACAAAAACwISACAAAAACQREAEAAAAANgREAAAAAIAkAiIAAAAAwIaACAAAAACQREAEAAAAANgQEAEAAAAAkgiIAAAAAAAbAiIAAAAAQBIBEQAAAABgQ0AEAAAAAEgiIAIAAAAAbAiIAAAAAABJBEQAAAAAgA0BEQAAAAAgiYAIAAAAALAhIAIAAAAAJBEQAQAAAAA2BEQAAAAAgCQCIgAAAADAhoAIAAAAAJBEQAQAAAAA2BAQAQAAAACSCIgAAAAAABsCIgAAAABAEgERAAAAAGBDQAQAAAAASCIgAgAAAABsCIgAAAAAAEkERAAAAACADQERAAAAACCJgAgAAAAAsCEgAgAAAAAkERABAAAAADYERAAAAACAJAIiAAAAAMCGgAgAAAAAkERABAAAAADYEBABAAAAAJIIiAAAAAAAGwIiAAAAAEBSGQZEi8Xi0v42btwoDw8PWSwWjRgxotD+I0eOyGKxKDw83KXjAgAAAEBV8Ye4gpiVlaXHH3+8ossAAAAAgErNZQHRGKOZM2eqXbt2qlGjhiTJarUqODhYkZGRWrt2bYn7fu211/Ttt98qOjraVeUCAAAAAK7gsoA4duxYjRw5UqmpqfbbPPv27Sur1aqEhAQlJiaWqN/U1FRNnjxZ0dHR6ty5s6vKBQAAAABcwSUBMTMzU1OmTJHVatWOHTu0atUqSVJ8fLx2796tgwcPqn///tfcrzFGjz/+uOrUqaNJkyaVuL6UlBTVqVNHtWrVUnJycon7AQAAAIDKzMsVnezfv185OTnq06eP2rZtW2h/SEiIQkJCrrnfGTNmaOvWrfroo49Ut27dEtW2dOlSPfTQQ7JarVq5cqXuuOOOEvUDAAAAAJWdSwKi1WqVJKWnp7uiO0nSsWPHNHbsWHXr1k1Dhw4tUR+zZ8/WiBEj1LhxY3322Wdq1aqVU+1CQ0Mdbk9LS1OLFi1KVAsAAAAAuDuX3GIaGhqqoKAg7dy5U0OGDNHWrVtL3edTTz2lixcvasaMGSVqP2XKFA0fPlxBQUHavHmz0+EQAAAAAKoql1xB9PDw0KeffqoBAwZo3rx5mjdvniTpzjvvVEREhKKjoxUUFOR0f4sXL1ZiYqLGjRunli1bXnM9//jHP/T666+rXbt2Wr16tQICAq6pfWpqqsPtRV1ZBAAAAIDKwCUBUZLatm2r/fv3a+nSpUpKSlJcXJx27Nih7du3680339T06dMVExMjSZo4caIOHDhQoH2rVq00ZswY/fe//1VsbKyCg4P1wgsvXHMdW7Zs0YYNGxQYGKj169erdu3aLjk/AAAAAKjsLMYYUyYdWyz6+eef9eGHH+rFF19UXl6eUlNT1apVK4WHh2vDhg0Fjg8LC1NKSopSUlLUrVs3NW/eXM2aNStwzIkTJ3Tw4EEFBgaqZcuWCgwMVHx8vCTpyJEjuuGGG+wvydm7d69Gjx6tqVOnuuyc8q8gFnWFEQCAP5oT/cOlS5cqugz35OmpwMSUiq4CAMqVy64gOhIQEKDnn39eJ0+e1NSpU5WUlKRWrVopJSXlqm2PHDmiI0eOONx34sQJnThxolCAlCR/f3998sknioiI0LRp0+Th4aG33nqrlGcCAAAAAJWfS15SczXXX3+9JCkrK+uqx4aHh8sY4/Aza9YsSVJ0dLSMMUUGyICAAK1bt06hoaGaMmWK/v73v7vsXAAAAACgsnJJQNy9e7dmzJjhMABmZGQoLi5OktS+fXtXDOeUBg0aaN26dWrdurXeeOMNjR07ttzGBgAAAIA/IpcExNOnTysmJkZNmzbV4MGD9fLLL0uShg8fruDgYO3bt0+9evVSRESEK4ZzWsOGDZWcnKyWLVtq4sSJevHFF8t1fAAAAAD4I3FJQOzUqZPi4+PVvXt37dmzx/5imPnz56thw4YaP368EhMTXTHUNct/m2lISIgmTJhgD68AAAAAgILK9C2mZdR1heEtpgCAyoa3mBaDt5gCqILK5SU1AAAAAAD3R0AEAAAAAEgqw4BY2W4vBQAAAIDKjiuIAAAAAABJBEQAAAAAgA0BEQAAAAAgiYAIAAAAALAhIAIAAAAAJBEQAQAAAAA2BEQAAAAAgCQCIgAAAADAhoAIAAAAAJBEQAQAAAAA2BAQAQAAAACSCIgAAAAAABsCIgAAAABAEgERAAAAAGBDQAQAAAAASCIgAgAAAABsCIgAAAAAAEkERAAAAACADQERAAAAACCJgAgAAAAAsCEgAgAAAAAkERABAAAAADYERAAAAACAJAIiAAAAAMCGgAgAAAAAkERABAAAAADYEBABAAAAAJIIiAAAAAAAGwIiAAAAAEASAREAAAAAYENABAAAAABIIiACAAAAAGwIiAAAAAAASQREAAAAAIANAREAAAAAIImACAAAAACwISACAAAAACQREAEAAAAANgREAAAAAIAkAiIAAAAAwIaACAAAAACQREAEAAAAANgQEAEAAAAAkgiIAAAAAAAbAiIAAAAAQBIBEQAAAABgQ0AEAAAAAEgiIAIAAAAAbAiIAAAAAABJBEQAAAAAgA0BEQAAAAAgiYAIAAAAALAhIAIAAAAAJJVhQLRYLC7p56uvvtLQoUPVtGlT+fj4qGHDhgoPD9esWbMcjtm8eXOXjAsAAAAAVY1bX0H84IMP1L59ey1YsEDNmzfXAw88oNDQUO3du1fz5s2r6PIAAAAAoFLxclVHxhi99957mjlzpvbv3y9JslqtatSokdq1a6fHHntMPXr0cLq/5ORkPf7442rRooWWLVum1q1b2/dlZ2crNTXVVaUDAAAAAOTCK4hjx47VyJEjlZqaqvDwcElS3759ZbValZCQoMTExGvqLzY2VhaLRYsXLy4QDiXJ29tbt912m4sqBwAAAABILgqImZmZmjJliqxWq3bs2KFVq1ZJkuLj47V7924dPHhQ/fv3d7q/LVu26JtvvlF4eLjatGlT6vr27dunJk2aqFq1atyaCgAAAABFcMktpvv371dOTo769Omjtm3bFtofEhKikJAQp/tLTk6WJHXq1EkXLlxQfHy8du3aJU9PT91+++0aNGiQatSo4VRf27ZtU58+fXTx4kUtXbpUvXv3droOAAAAAKhKXBIQrVarJCk9Pd0V3embb76RJOXl5em2227TwYMHC+x/6aWXtHz58qteXUxKStKf//xnVatWTZ999pm6dOni1PihoaEOt6elpalFixZO9QEAAAAAfzQuucU0NDRUQUFB2rlzp4YMGaKtW7eWqr+MjAxJ0uTJk3Xu3DmtXLlSp0+f1tdff6177rlHR48e1X333afz588X2cfChQt13333yWq1KiUlxelwCAAAAABVlcUYY1zR0d69ezVgwAAdPnzYvq1Dhw6KiIhQdHS0goKCnO7r3nvv1Zo1ayRJX3zxhTp06GDfl5WVpaCgIKWnp+u9997TY489Zt9nsVjUrFkzjRkzRn/961/VrFkzffbZZ9c0dnHyryzyBlUAQGVxon+4dOlSRZfhnjw9FZiYUtFVAEC5ctlbTNu2bav9+/crISFB0dHRkqQdO3Zo4sSJat26td599137sRMnTlRUVFSBz8SJE+37829ZvemmmwqEQ0ny8fHR4MGDJUkbNmwoVEd6erqefPJJeXt7a/369S4LhwAAAABQ2bksIEqXl58YNGiQPvjgA0nSyZMn7cEvNjZWBw4ckCStXr1ac+bMKfBZvXq1vZ9mzZpJkpo3b+5wnPztP//8c6F9DRo0UPfu3XXx4kU999xzys3NddXpAQAAAECl5tKAeKWAgAA9//zzio2NVV5enpKSkiRJKSkpMsYU+KSkpNjb5a9xmP8s4pV+++03Sf+70vh73t7e+s9//qNu3bpp0aJFeuSRR3SJW2cAAAAA4KrKNCDmu/766yVdfn7QGb1795aXl5e+/vprexj8vfxbS/OD5JVq1Kih5cuXKywsTAkJCRo6dCghEQAAAACuwiUBcffu3ZoxY4bDAJiRkaG4uDhJUvv27Z3qr379+ho2bJjOnj2rUaNGKTs7275vzpw5WrNmjapXr66oqKgi+/D19dWKFSvUtWtXLViwQI8++qjy8vKu7cQAAAAAoApxyTqIp0+fVkxMjMaNG6d77rlHwcHBkqThw4dr2bJlOnXqlHr16qWIiAin+3zjjTf0+eefa968edq0aZPat2+vo0ePaufOnfL09NR7772n6667rtg+atasqZUrV6pXr16aN2+ePD09NWvWLHl4lMuFUwAAAAD4Q3FJUurUqZPi4+PVvXt37dmzR1OnTpUkzZ8/Xw0bNtT48eOVmJh4TX3WqVNH27Zt0wsvvCBvb28tX75chw8fVt++fbVhwwYNHTrUqX6sVqtWrVqlTp066aOPPlJ0dDRXEgEAAADAAZetg1ioY4tFZdR1hWEdRABAZcM6iMVgHUQAVRD3WgIAAAAAJBEQAQAAAAA2ZRYQK9vtpQAAAABQ2XEFEQAAAAAgiYAIAAAAALAhIAIAAAAAJBEQAQAAAAA2BEQAAAAAgCQCIgAAAADAhoAIAAAAAJBEQAQAAAAA2BAQAQAAAACSCIgAAAAAABsCIgAAAABAEgERAAAAAGBDQAQAAAAASCIgAgAAAABsCIgAAAAAAEkERAAAAACADQERAAAAACCJgAgAAAAAsCEgAgAAAAAkERABAAAAADYERAAAAACAJAIiAAAAAMCGgAgAAAAAkERABAAAAADYEBABAAAAAJIIiAAAAAAAGwIiAAAAAEASAREAAAAAYENABAAAAABIIiACAAAAAGwIiAAAAAAASQREAAAAAIANAREAAAAAIImACAAAAACwISACAAAAACQREAEAAAAANgREAAAAAIAkAiIAAAAAwIaACAAAAACQREAEAAAAANgQEAEAAAAAkgiIAAAAAAAbAiIAAAAAQBIBEQAAAABgQ0AEAAAAAEgiIAIAAAAAbAiIAAAAAABJBEQAAAAAgI1XRRcAAAAqkBe/ChSJ7wZAFcRPPgAAqiiTna3ARWsrugy3ZrKzZfH2rugyAKDccIspAABVFMHn6viOAFQ1BEQAAAAAgCQCIgAAAADApswCosViKXUfCQkJioiIkL+/v6pVq6aGDRuqX79+SklJKXRsSkqKLBaLoqKiSj0uAAAAAFRFbnsF8W9/+5siIyO1adMm3XbbbXrggQfUtGlTLVu2TN26ddN7771X0SUCAAAAQKXisoBojNHMmTPVrl071ahRQ5JktVoVHBysyMhIrV3r/FvS9u7dq2nTpsnPz09fffWVkpOTtXDhQu3atUsLFiyQxWLRM888o7Nnz7qqfAAAAACo8lwWEMeOHauRI0cqNTVV4eHhkqS+ffvKarUqISFBiYmJTve1ceNGSVJkZKRuuummAvseeughtWnTRufOndM333zjqvIBAAAAoMpzSUDMzMzUlClTZLVatWPHDq1atUqSFB8fr927d+vgwYPq37+/0/35+Pg4dVy9evWcOi4+Pl7e3t5q1KiR9u7d63QdAAAAAFCVuCQg7t+/Xzk5OerRo4fatm1baH9ISIh69OjhdH/dunWTl5eXFi5cWOgqYXx8vL7++muFhYWpRYsWV+1rxowZeuSRR3Tddddp8+bNDusDAAAAAEherujEarVKktLT013RnYKCgjR16lQ9/fTTuuWWW9S1a1c1aNBAhw4d0u7du3Xffffpww8/vGo/r732ml566SW1adNGSUlJatSokVPjh4aGOtyelpbmVCgFAAAAgD8ilwTE0NBQBQUFaefOnRoyZIhiYmJK3edTTz2lgIAADR8+XOvXr7dvb9Soke655x7VrVu3yLbGGD3zzDOaNm2aOnXqpOXLl8vf37/UNQEAAABAZeaSW0w9PDz06aef6sYbb9S8efPUuXNnSdKdd96psWPH6rvvvrum/owxGj16tB566CH95S9/0bfffquzZ8/qiy++UFBQkGJjY/XUU085bJubm6tHH31U06ZNU8+ePbVmzZprDoepqakOP1w9BAAAAFCZWYwxxlWdZWdna+nSpUpKSlJcXJwsFouMMfLy8tL06dPtVxYnTpyoAwcOFGjbqlUrjRkzRpI0e/ZsDRs2TP369Sv09tMzZ86oVatW+umnn/T111/bbwdNSUmxP7uYm5urW265RTt27FC1atVcdXr2sVJTU13WJwAAAAC4C5ctcyFJ3t7eGjRokD744ANJ0smTJzVx4kRJUmxsrD0Url69WnPmzCnwWb16tb2fuXPnSpIGDhxYaIxatWqpV69eMsZo8+bNhfZ36dJFTZs21VdffaV33nnHlacHAAAAAJWaS55BLEpAQICef/55nTx5UlOnTlVSUpJatWqllJSUYtvlv+ymTp06Dvfnb8/IyCi0r1mzZnr//fcVHh6uv/3tb/L09FRsbGzpTsTm6NGjysnJKfIlNgAAAABQ0Vq0aKFly5aVqK1LryAW5frrr5ckZWVlOXV8YGCgJGnnzp0O9+dvb968ucP9QUFBWr9+vRo3bqxRo0bp3XffvcaKHatZs6ZLb1mtjNLS0pSWllbRZcDNMC9wJeYErsScgCPMC1yJOVH2XHIFcffu3fr88881fPjwQovcZ2RkKC4uTpLUvn17p/rr37+/Nm7cqClTpqhPnz7q0KGDfd/bb7+tTZs2qVatWrr33nuL7CM4OFjr169XeHi4nnrqKXl4eGjkyJElOLv/OXHiRKnaVwU8pwlHmBe4EnMCV2JOwBHmBa7EnCh7LgmIp0+fVkxMjMaNG6d77rlHwcHBkqThw4dr2bJlOnXqlHr16qWIiAin+nvyySe1ePFibd68WR07dlTHjh3VuHFjpaam6ptvvpGnp6feeeedYpe6kKSQkBAlJycrPDxcMTEx8vT01GOPPVbq8wUAAACAysglt5h26tRJ8fHx6t69u/bs2aOpU6dKkubPn6+GDRtq/Pjxhd5GWpzq1atr3bp1euutt9S+fXvt3btXS5YsUUZGhgYOHKjNmzdr6NChTvXVqlUrJScnKyAgQE888YQ+/PDDkpwiAAAAAFR6Ll3mokDHtiUuULVw2R+OMC9wJeYErsScgCPMC1yJOVH2yuUlNQAAAAAA90dABAAAAABIKsNbTAEAAAAAfyxcQQQAAAAASCIgAgAAAABsCIgAAAAAAEkERAAAAACADQERAAAAACCJgAgAAAAAsCEgAgAAAAAkERABAAAAADYExCrm/PnzSkxMVHR0tFq2bKnq1aurZs2auuWWW/TPf/5TZ8+eLbLt7Nmz1aFDB1mtVtWtW1e9e/fW1q1bHR577tw5zZ07V7Gxsbrzzjvl4+Mji8WiV1555ao1rlq1Svfcc4/8/Pzk6+urNm3aaPLkycrJySnpaeMqymteHDhwQJMmTVK3bt1Uv359VatWTYGBgXrggQe0adOmYmtMT0/XsGHD1LhxY1WvXl0hISF6+eWXdfHixVKdOxxz9zmxYsUK/eMf/1CPHj3k5+cni8Wi8PDw0p42iuHOc+LkyZOKi4vTgAED1LRpU3l7e8vPz09hYWGaM2eOjDEu+Q5QmDvPi4yMDI0dO1Y9evRQs2bN5OvrK19fX4WGhurvf/+7fv31V5d8ByjIneeEIxs3bpSHh4csFotGjBhxzedbKRlUKe+//76RZCSZ1q1bm0GDBpmePXuaWrVqGUmmVatW5uTJk4XaPf3000aSqVGjhunXr5/p2bOn8fLyMp6enmbJkiWFjt+9e7d9nN9/Xn755WLrmzhxopFkPDw8TMeOHU2/fv1MgwYNjCTTo0cPk52d7aJvAr9XXvOiSZMmRpKxWq2mR48e5sEHHzQ333yzkWQsFouZOnWqw/oOHTpk6tevbySZm2++2Tz44IPmxhtvNJJM586dzcWLF138jcDd50SdOnUK/XwJCwtz7ZeAAtx5TjzyyCNGkvHy8jJ33XWXiYyMNF26dDEeHh5Gkhk4cKDJzc0tg28F7jwvvv76ayPJ1K1b13Tt2tVERkaa3r1723+vaNy4sTl8+HAZfCtVmzvPiStdvHjRtGzZ0lgsFiPJREdHu+Ab+OMjIFYxs2fPNo8//rj55ptvCmw/fvy4ue2224wk8/DDDxfYt2bNGiPJ1KtXz3z77bf27Vu3bjXe3t7Gz8/PZGRkFGjz3XffmejoaPPvf//b7Nq1y/zzn/+8akDcvn27sVgsplq1amb16tX27adPnzbdunUzkszrr79e8pNHkcprXnTv3t189NFH5sKFCwW2//vf/zaSjKenp0lNTS1UX+fOnY0kM2rUKPu2nJwcM2DAAKf+4QHXzt3nxPDhw80bb7xh1q9fbz777DMCYjlw5zkxatQoM2HCBPPzzz8X2L59+3ZTu3ZtI8nMnDmzpKeOYrjzvMjMzDQ7d+40ly5dKrD9woULZujQoUaS+fOf/1zSU0cR3HlOXOnFF180FovFjBgxgoD4OwRE2G3dutVIMj4+PiYrK8u+/U9/+pOR5PBfYkaNGmUkmTfffLPYvv/1r39d9Rf56OhoI8k89thjhfYdPHjQWCwWU79+ff4VuJyV5bz4vXvvvddIMq+88kqB7V988YWRZBo0aFDoSuGJEydMtWrVjL+/v8nJybm2E0OJVfScuNK2bdsIiBXM3ebE773++utGkgkPD3e6DVzDnefFjz/+aCQZf39/p9ug9NxpTuzbt894e3ubESNGmFmzZhEQf4dnEGF3yy23SJKysrJ06tQpSdKFCxeUnJwsSRo4cGChNvnb/vOf/5R6/F27dkmSw+eIQkJC1LhxY/3666/asmVLqceC88prXuSPc/z48QLbV6xYIUm677775OPjU2Bfw4YN1bVrV2VkZGjz5s1Oj4XSqeg5AffjznOCeVRx3HleVKtWTZLk7e3tdBuUnrvMCWOMHn/8cdWpU0eTJk1y/gSqCAIi7A4fPizp8g/NunXrSpIOHjyorKwsBQQEqGnTpoXatGvXTpK0d+/eUo9/7tw5SZK/v7/D/fXq1ZMkffXVV6UeC84rr3mRP05gYGCB7fl/3vl9umIslE5Fzwm4H3eeE8yjiuOu8yInJ8f+0rw+ffo4PQ5Kz13mxIwZM7R161a99dZb9jrwP14VXQDcx/Tp0yVJvXr1sl+pOXr0qCQ5/AsrSTVr1pSfn58yMjJ05swZ1apVq8TjBwQE6NChQ/rhhx8K7TPG2Lc72o+yUx7zIi0tTcuXL5ck3X///QX2XW2s/O3Mi/JT0XMC7sdd50ROTo7effddSVK/fv2cagPXcad5ER0drUuXLikjI0O7du3SsWPH1LlzZ02ePPmazwsl5w5z4tixYxo7dqy6deumoUOHlvhcKjOuIEKStHLlSsXFxalatWoaP368fXv+q4h9fX2LbFuzZk1J0pkzZ0pVw9133y1JmjNnTqF9n376qU6fPu2SceC88pgXubm5ioqKUlZWliIjI3X77bcX2H+1sVw1/+Acd5gTcC/uPCdeeukl7d+/XzfccINGjhzpVBu4hrvNizlz5mjOnDlatmyZjh07pvDwcH388cf2u5NQ9txlTjz11FO6ePGiZsyYUZLTqBIIiNCBAwc0ZMgQGWP0xhtv2O/bLm8xMTGqVauWPv/8c/3lL3/RoUOHlJmZqYSEBD3xxBPy8rp8wdvDg2lbHsprXowaNUqbN2/WjTfeaP+Xfrgn5gSu5M5zIj4+XpMnT1b16tU1f/78Yn/5hGu547zIzc2VMUbHjx/XJ598ovT0dLVp00ZJSUllUhsKcpc5sXjxYiUmJmrMmDFq2bJlmdRQGfCbdhV37Ngx9erVSxkZGXrmmWf09NNPF9hvtVolXV70tCj5zw6W5vZSSbruuuu0ePFi+fn5ae7cuQoJCZG/v78iIyPVokULDR8+XFLRzyjCdcprXkyYMEEzZsxQw4YNlZSU5PA5gKuN5ar5h+K505yAe3DnOZGcnKyoqCh5eHhowYIFuuuuu5w5JbiAO88LSWrUqJEGDhyotWvXymKxKCoqyj4eyoa7zIn//ve/io2NVXBwsF544YWSnk7VUGHvT0WFO3XqlLnpppuMJDNs2DCTl5dX6Jj8Be8DAgIc9nH27FmnXhPtzDIX+X777Tfz7rvvmpiYGBMbG2sWLFhgsrOz7Qshf/zxx06dH0qmvObFjBkzjCRTp04ds3v37iKP69evn5Fk3nnnHYf7n3vuOSPJTJ8+vfgTQ4m525y4EstclD93nhPbt283VqvVWCwW8+GHHzrVBq7hzvPCkd69extJZt26dSXuA8Vzpzmxfv16I8k0b97chIWFFfi0bNnSSDKBgYEmLCzMREZGluh8KwsCYhV15swZ06FDByPJPPDAA0WuLXj+/Hnj4+NjJJn09PRC+zdu3OjUL2bXEhCLcuONNxoPDw9z9OjREveB4pXXvFiwYIHx8PAwvr6+ZvPmzcXWNG7cuGLXJoqIiDCSzPr164vtByXjjnPiSgTE8uXOcyI1NdXUq1evyPXUUHbceV4U5S9/+YuRZOLj40vVDxxztzmRHxCd+TRr1qwkp1xpEBCroIsXL9p/qe7Zs2eBhUodccXipaUNiMuXLzeSTO/evUvUHldXXvNixYoVplq1asbb29skJSVdta4vvvjCSDINGjQwFy9eLLDvxIkTplq1asbf399kZ2dftS9cG3edE1ciIJYfd54T33//vWnSpMk1L5iO0nPneVGU3Nxcc+ONNxpJZseOHaXqC4X90ebErFmziv3H6KqGgFjF5ObmmgEDBhhJpmvXrubcuXNXbbNmzRojydSrV898++239u1bt241Pj4+xs/Pz2RkZBTbh7MBcefOnYVuP9iyZYsJCAgw1atXNwcOHLhqvbh25TUvNm/ebGrUqGG8vLzMkiVLnK6vc+fORpJ5+umn7dtycnLMAw88UOor03DM3efE7xEQy4c7z4mTJ0+a4OBgI8k8++yz13JaKCV3nhcLFiwwe/fuLbT91KlTZvjw4UaSadOmjcPbHlFy7jwnikJALMhijDEOH05EpTR9+nSNHj1akjRgwADVrl3b4XFvvvmm6tevb//v0aNHa/r06fL19dU999yj7OxsrVmzRsYYLVq0SP379y/Ux4ABA/TTTz9Jko4fP64ff/xRTZo0sa9z06hRIy1ZsqRAm+bNm+vSpUu6+eab5e/vr0OHDmnXrl2qXr26PvnkExa0LSPlNS/8/f2VmZmpG264wb6syZW6dOmiESNGFNh26NAhdezYUadOnVKbNm100003aceOHTp8+LA6deqk5ORk+3pKcA13nxPjx4/XihUrJF1+RXpqaqpq1aqlm266yX7MkiVL1KhRo2s9dRTBnefEgAEDlJiYKF9fXw0aNMhhm/r16+vNN9+8hjOGM9x5XkRFRWnOnDm68cYb1aZNG/n6+urYsWP68ssvdfbsWTVp0kRr1qxR69atS/cloAB3nhNFmT17toYNG6bo6Gh98MEHzp1oZVZx2RQV4eWXX3bq3uvvv/++UNtZs2aZ22+/3fj6+ho/Pz/Tq1cvs2XLliLHatas2TXf3/2vf/3L3HnnnaZu3brG29vbNGvWzDz++OMmLS3Nhd8CrlRe88KZMR599FGHbY8ePWqioqJMYGCg8fb2NkFBQeall14yFy5ccOE3gXzuPiceffTREtWGknPnOREWFnbVNlX9maKy4s7zYtOmTSYmJsbccsstpn79+sbLy8v4+fmZu+66y0yYMMFkZmaWwTcCd54TReEKYkFcQQQAAAAASGIdRAAAAACADQERAAAAACCJgAgAAAAAsCEgAgAAAAAkERABAAAAADYERAAAAACAJAIiAAAAAMCGgAgAAAAAkERABAAAAADYEBABAAAAAJIIiAAAAAAAGwIiAAAAAEASAREAAAAAYENABAAAAABIIiACAAAAAGwIiAAAAAAASQREAAAAAIDN/wOKfBhEyBJYcgAAAABJRU5ErkJggg==”,
TSLA: 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”
};
function showYearly(ticker, btn) {
document.getElementById(‘yearly-img’).src = imgs[ticker];
document.getElementById(‘yearly-title’).textContent = ticker + ‘ — Annual P&L’;
document.querySelectorAll(‘.tab’).forEach(b => b.classList.remove(‘active’));
btn.classList.add(‘active’);
}
The Intrinsic Investor 