{"id":84657,"date":"2026-09-22T21:47:43","date_gmt":"2026-09-22T20:47:43","guid":{"rendered":"https:\/\/herzenstaenze.de\/?p=84657"},"modified":"2026-09-22T21:47:43","modified_gmt":"2026-09-22T20:47:43","slug":"how-ai-trading-bots-are-quietly-making-ordinary-investors-rich","status":"publish","type":"post","link":"https:\/\/herzenstaenze.de\/?p=84657","title":{"rendered":"How AI Trading Bots Are Quietly Making Ordinary Investors Rich"},"content":{"rendered":"<h1>How AI Trading Bots Are Quietly Making Ordinary Investors Rich<\/h1>\n<p>An AI trading bot is like having a tireless market assistant that watches charts, spots patterns, and executes trades while you grab a coffee. <strong>Unlike traditional tools<\/strong>, it learns from data and adapts to shifting conditions in real time. If you&#8217;re curious about automating your strategy, this is where things get interesting.<\/p>\n<div style='text-align:center'><iframe width='569' height='319' src='https:\/\/www.youtube.com\/embed\/PApajdyTLrQ' frameborder='0' alt='AI trading bot' allowfullscreen><\/iframe><\/div>\n<h2>How Automated Market Algorithms Are Reshaping Modern Investing<\/h2>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' width=\"608px\" alt=\"AI trading bot\" 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\"\/><\/p>\n<p>Automated market algorithms are fundamentally rewiring how capital gets allocated, replacing gut instinct with deterministic execution at scale. For the modern investor, this means **algorithmic trading strategies** can now exploit micro-inefficiencies across thousands of instruments simultaneously, something no human desk could replicate. The real shift, however, lies in accessibility: retail participants now deploy the same class of **quantitative portfolio optimization** once reserved for institutional hedge funds. The result is tighter spreads, faster price discovery, and a market where discipline beats discretion. My advice is simple\u2014understand the logic driving these systems, because the edge now belongs to those who can interpret the machine, not merely compete with it.<\/p>\n<h3>From Manual Charts to Machine Execution: A Timeline<\/h3>\n<p>Automated market algorithms are quietly changing how everyday people invest, making trading faster and less emotional. Instead of guessing when to buy or sell, these systems use data and rules to spot opportunities in milliseconds. That means you can benefit from <strong>algorithmic trading strategies<\/strong> without watching charts all day. They also lower costs by removing human error and executing trades at the best prices. But be careful\u2014over-reliance can backfire in wild markets. Still, for most investors, letting smart code handle the boring stuff is a game-changer.<\/p>\n<h3>Why Speed and Data Volume Now Define Trading Edges<\/h3>\n<p>Automated market algorithms are fundamentally rewriting the rules of modern investing by executing trades at speeds and frequencies impossible for humans. These systems continuously scan for pricing inefficiencies, arbitrage, and momentum signals, then act in milliseconds. For investors, the real edge lies in understanding that <strong>algorithmic trading strategies<\/strong> now dominate volume across equities, forex, and crypto. Rather than fight this shift, savvy allocators use rule-based models to reduce emotional bias and capture micro-trends. The result is a market where discipline, data, and latency matter more than gut instinct.<\/p>\n<h2>Core Components Inside a Self-Learning Trading System<\/h2>\n<p>At the heart of any <strong>self-learning trading system<\/strong> lies a robust feature engineering pipeline that transforms raw market data into predictive signals, paired with an adaptive model selection layer that continuously evaluates performance across changing regimes. Reinforcement learning agents then optimize execution timing, while a risk-aware reward function prevents overfitting to noisy price action. Crucially, an online feedback loop retrains models on streaming data, and a meta-controller adjusts hyperparameters in real time. This architecture delivers <strong>adaptive market intelligence<\/strong>, enabling the system to evolve without manual intervention and stay ahead of shifting volatility.<\/p>\n<h3>Market Data Feeds and Real-Time Signal Processing<\/h3>\n<p>A self-learning trading system relies on a few critical internal engines working in sync. The <strong>adaptive market intelligence core<\/strong> continuously ingests price, volume, and sentiment data, then feeds it into reinforcement learning agents that adjust strategies in real time. Key components include a feature pipeline for signal extraction, a risk-aware reward function, and an online model updater that prevents overfitting. Together, these parts let the system evolve with changing volatility, executing trades faster than any static algorithm could.<\/p>\n<h3>Strategy Engines: Rule-Based vs. Neural Network Approaches<\/h3>\n<p>A self-learning trading system relies on several tightly integrated core components. The <strong>adaptive trading engine<\/strong> continuously ingests market data, extracts features, and retrains predictive models in real time. Risk management modules enforce position sizing, stop-losses, and exposure limits dynamically. Execution algorithms minimize slippage while reinforcement learning agents refine entry and exit timing. A feedback loop compares realized outcomes against predictions, adjusting hyperparameters automatically. <em>This architecture enables the system to evolve with shifting market regimes rather than relying on static rules.<\/em> Key elements include:<\/p>\n<ul>\n<li>Data pipeline and feature store<\/li>\n<li>Online learning models<\/li>\n<li>Risk and execution layers<\/li>\n<li>Performance feedback controller<\/li>\n<\/ul>\n<h3>Risk Controls, Position Sizing, and Stop-Loss Automation<\/h3>\n<p>A self-learning trading system relies on <strong>adaptive market intelligence<\/strong> to evolve with changing conditions. At its core, a data ingestion engine streams real-time prices, news, and order flow. A feature engineering layer converts raw inputs into predictive signals. The machine learning model\u2014often reinforcement learning or deep neural networks\u2014continuously retrains on new outcomes. A risk manager enforces position limits and drawdown controls. Finally, an execution module routes orders with minimal slippage. Together, these components create a feedback loop where every trade sharpens future decisions, turning static strategies into living, self-improving systems.<\/p>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' width=\"608px\" alt=\"AI trading bot\" 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\"\/><\/p>\n<h2>Popular Architectures for Building Your First Autonomous Trader<\/h2>\n<p>Building your first autonomous trader doesn&#8217;t require reinventing the wheel. Most beginners start with <strong>rule-based architectures<\/strong>, where simple if-this-then-that logic triggers buy or sell orders. Next comes the event-driven model, favored for its speed and modularity\u2014it reacts to market ticks in real time. For those craving adaptability, reinforcement learning agents learn from past trades, while <mark>microservices<\/mark> let you scale components independently. A popular hybrid combines a signal generator, risk manager, and execution engine. Remember: start simple, backtest relentlessly, and always paper trade before risking real capital. Choosing the right <strong>autonomous trading architecture<\/strong> sets the foundation for everything that follows.<\/p>\n<h3>Python Frameworks: Backtrader, Zipline, and Freqtrade Compared<\/h3>\n<p>When you&#8217;re building your first autonomous trader, the <strong>popular architectures for algorithmic trading systems<\/strong> usually come down to three main setups. The simplest is a monolithic script that pulls data, makes decisions, and fires orders all in one loop \u2014 great for learning but messy at scale. Next is the event-driven model, where market data triggers signals and execution separately, giving you cleaner logic and faster reactions. Finally, there&#8217;s the microservices approach, splitting data feeds, strategy engines, and order routers into independent services that talk over a message queue. Most beginners start monolithic, then graduate to event-driven once latency and reliability start mattering.<\/p>\n<h3>Cloud Deployment vs. Local Server Setups for Low Latency<\/h3>\n<p>When you&#8217;re building your first autonomous trader, the <strong>most popular trading bot architectures<\/strong> usually come down to three flavors. A simple rule-based bot checks indicators like moving averages and fires orders\u2014easy to code, easy to break. An event-driven setup listens for market ticks and reacts in real time, which scales better but adds complexity. Then there&#8217;s the strategy-plus-risk-layer design, where your signals stay separate from position sizing and stop-losses. Most beginners start with the rule-based route, then graduate to event-driven once they need speed. Honestly, <mark>keep your first version boring<\/mark>\u2014a clean loop beats a fancy microservices mess every time.<\/p>\n<h3>API Integration with Exchanges Like Binance, Coinbase, and Interactive Brokers<\/h3>\n<p>For your first autonomous trader, choose proven architectures that balance simplicity and reliability. The <strong>event-driven microservices architecture<\/strong> excels here, separating market data ingestion, strategy logic, risk checks, and order execution into independent services. This modularity lets you test and replace components without rebuilding everything. Alternatively, a monolithic event loop with a message queue offers lower latency and easier debugging for beginners. Most successful retail bots follow this pattern:<\/p>\n<ul>\n<li>Data feed handler (WebSocket\/REST)<\/li>\n<li>Strategy engine (signal generation)<\/li>\n<li>Risk manager (position sizing, stop-loss)<\/li>\n<li>Broker API executor (order placement)<\/li>\n<\/ul>\n<p>Start with the monolith, then split into microservices as your edge cases grow. This path minimizes early complexity while scaling with your skills.<\/p>\n<h2>Machine Learning Models That Power Predictive Execution<\/h2>\n<p>Predictive execution relies on a range of machine learning models to anticipate task outcomes and optimize resource allocation. Supervised regression and classification algorithms, including gradient boosting and random forests, forecast latency and failure probabilities from historical execution logs. Sequence models such as LSTMs and transformers capture temporal dependencies in workflows, enabling dynamic scheduling decisions. Reinforcement learning agents further refine execution policies by learning from reward signals in simulated environments. These <strong>predictive analytics models<\/strong> process real-time telemetry to trigger preemptive actions, reducing delays and improving system reliability. A key technique, <mark>online learning<\/mark>, allows models to adapt continuously as new execution data arrives. Together, these <strong>machine learning-driven execution engines<\/strong> support proactive, data-informed orchestration across distributed computing systems.<\/p>\n<h3>Reinforcement Learning for Adaptive Portfolio Allocation<\/h3>\n<p>Predictive execution basically lets systems guess what&#8217;s coming next and act before you even ask. The <strong>machine learning models for predictive execution<\/strong> doing the heavy lifting include decision trees and random forests for quick, interpretable choices, gradient boosting machines like XGBoost for high-accuracy forecasting, and recurrent neural networks or LSTMs when timing and sequences matter. Reinforcement learning agents also shine here, learning optimal actions through trial and error. In practice, these models crunch historical patterns, real-time signals, and context to trigger workflows, preload data, or allocate resources automatically. The result? Faster responses, fewer bottlenecks, and a smoother experience without anyone lifting a finger.<\/p>\n<h3>LSTM and Transformer Networks for Price Pattern Recognition<\/h3>\n<p>Predictive execution in modern trading <a href=\"https:\/\/jetpocket.io\/\">ai trading bot<\/a> and ad tech relies on <strong>machine learning models for real-time decisioning<\/strong>, and honestly, the magic is simpler than it sounds. Gradient-boosted trees like XGBoost handle structured data fast, while recurrent neural networks and transformers catch time-based patterns. Reinforcement learning agents then optimize actions on the fly. Here&#8217;s the quick breakdown:<\/p>\n<ul>\n<li><strong>XGBoost\/LightGBM:<\/strong> fast, accurate for tabular features<\/li>\n<li><strong>LSTMs &amp; Transformers:<\/strong> sequence and latency prediction<\/li>\n<li><strong>Reinforcement learning:<\/strong> adaptive execution policies<\/li>\n<\/ul>\n<p>Together, they predict slippage, timing, and fill probability before you even click send.<\/p>\n<h3>Sentiment Analysis from News and Social Media Streams<\/h3>\n<p>Predictive execution engines rely on a powerful arsenal of machine learning models to anticipate outcomes before they unfold. <strong>Predictive execution models<\/strong> such as gradient boosting machines, random forests, and deep neural networks analyze historical patterns to forecast future events with remarkable accuracy. Reinforcement learning agents dynamically optimize decisions in real time, while recurrent neural networks excel at sequence prediction. Together, these algorithms transform raw data into actionable foresight, enabling systems to act proactively rather than reactively. The result? Faster workflows, smarter automation, and a decisive competitive edge in data-driven environments.<\/p>\n<h2>Backtesting Pitfalls That Inflate Simulated Profits<\/h2>\n<p>Overfitting is the silent killer of trading strategies, turning a promising backtest into a beautiful illusion. When you tweak parameters endlessly to fit past data, you create a curve-fitted monster that collapses in live markets. Other traps include survivorship bias, look-ahead bias, and ignoring transaction costs or slippage. <strong>Robust backtesting<\/strong> demands out-of-sample testing, walk-forward analysis, and realistic assumptions. Without these, your simulated profits are pure fantasy. Remember, a backtest that looks too good to be true almost certainly is\u2014<mark>future blindness<\/mark> is the price of shortcutting proper validation. Stay skeptical, and let <strong>honest data<\/strong> guide your edge.<\/p>\n<h3>Overfitting to Historical Noise and Curve Fitting Traps<\/h3>\n<p>When Maya ran her first <strong>backtesting pitfalls<\/strong> experiment, the equity curve looked like a rocket. She had unknowingly peeked at future prices, curve-fit fifty parameters to a tiny sample, and ignored trading costs. Her simulated profits ballooned while reality stayed flat. Common traps include survivorship bias, look-ahead bias, overfitting, ignored slippage and fees, and data snooping until the results flatter you. The lesson: a backtest is a hypothesis, not a promise.<\/p>\n<h3>Survivorship Bias and Look-Ahead Errors in Dataset Design<\/h3>\n<p>When Maya ran her first <strong>algorithmic trading backtest<\/strong>, the equity curve soared like a rocket, promising riches beyond her dreams. She forgot, however, that simulated profits often lie. Overfitting tuned the strategy to noise, while survivorship bias quietly removed failed companies from her data. Look-ahead bias let her &#8222;know&#8220; closing prices before they happened, and transaction costs vanished like ghosts. The result? A fantasy fortune.<\/p>\n<ul>\n<li><strong>Overfitting:<\/strong> Too many rules fit past noise, not future markets.<\/li>\n<li><strong>Survivorship bias:<\/strong> Only winners remain in the dataset.<\/li>\n<li><strong>Look-ahead bias:<\/strong> Using future information in past decisions.<\/li>\n<li><strong>Ignoring costs:<\/strong> Slippage and commissions eat real returns.<\/li>\n<\/ul>\n<p><strong>Q:<\/strong> Why does backtest profit often vanish live?<br \/><strong>A:<\/strong> Because hidden biases and unrealistic assumptions inflate simulated results.<\/p>\n<h3>Transaction Costs, Slippage, and Liquidity Constraints<\/h3>\n<p>When Maya finally cracked the code, her <strong>backtesting pitfalls that inflate simulated profits<\/strong> told a cautionary tale. She had unknowingly peeked into the future, letting look-ahead bias sneak signals into her entries, while survivorship bias quietly erased every delisted loser from her data. Overfitting soon followed, turning harmless noise into dazzling patterns, and unrealistic fills ignored slippage, commissions, and spread. Her equity curve soared in simulation, then collapsed in live trading. The lesson? Always test on unseen data, include dead tickers, model real costs, and distrust any strategy too beautiful to survive tomorrow\u2019s market.<\/p>\n<h2>Regulatory and Ethical Considerations for Algorithmic Execution<\/h2>\n<p>Algorithmic execution operates within a complex framework of regulatory and ethical requirements. Key concerns include <strong>market manipulation prevention<\/strong>, ensuring algorithms do not engage in spoofing, layering, or quote stuffing. Regulators such as the SEC and ESMA mandate pre-trade risk controls, kill switches, and audit trails. Ethical considerations involve transparency, fairness, and mitigating unintended market impact or flash crashes. Firms must also address <strong>bias in execution logic<\/strong> and comply with best-execution obligations. Data privacy and accountability for autonomous decisions further shape responsible deployment, balancing efficiency gains against systemic risk and investor protection.<\/p>\n<h3>SEC, CFTC, and MiFID II Rules Affecting Retail Bot Users<\/h3>\n<p>Algorithmic execution operates under intense scrutiny, where <strong>regulatory compliance and ethical trading practices<\/strong> shape every line of code. Regulators demand transparency, audit trails, and safeguards against market manipulation, while ethicists question fairness when speed advantages concentrate power. Firms must navigate MiFID II, SEC rules, and emerging AI governance frameworks without sacrificing innovation. Key obligations include:<\/p>\n<ul>\n<li>Pre-trade risk controls and kill switches<\/li>\n<li>Best execution reporting and venue disclosure<\/li>\n<li>Bias testing and explainability for AI-driven strategies<\/li>\n<\/ul>\n<p>Ethically, the challenge is balancing profit with market integrity\u2014because an algorithm that exploits latency loopholes may be legal yet still corrosive to trust.<\/p>\n<h3>Market Manipulation Risks and Wash Trading Detection<\/h3>\n<p>When you let algorithms trade for you, staying on the right side of the rules matters just as much as the code itself. <strong>Algorithmic trading compliance<\/strong> means following market-abuse laws, order-routing rules, and audit trails that regulators expect. Ethically, you also need to avoid manipulative tactics like spoofing or layering, even if they seem technically legal. Here\u2019s what to keep in mind:<\/p>\n<ul>\n<li>Keep detailed logs of every order and decision<\/li>\n<li>Test for unintended market impact<\/li>\n<li>Disclose automated strategies to clients and exchanges<\/li>\n<\/ul>\n<p>Bottom line: your bot\u2019s speed doesn\u2019t excuse bad behavior.<\/p>\n<h3>Tax Reporting for High-Frequency Automated Gains<\/h3>\n<p>Algorithmic execution must navigate a dense web of <strong>regulatory compliance and ethical trading standards<\/strong>. Firms face MiFID II reporting, SEC market access rules, and best-execution obligations, while ethical concerns include unintended market manipulation, latency fairness, and transparency. Key requirements include:<\/p>\n<ul>\n<li>Pre-trade risk controls and kill switches<\/li>\n<li>Audit trails for every order decision<\/li>\n<li>Bias testing to prevent discriminatory outcomes<\/li>\n<\/ul>\n<p>Without rigorous governance, automated strategies can erode trust, trigger fines, or destabilize markets\u2014making ethical oversight as critical as code efficiency.<\/p>\n<h2>Performance Metrics Beyond Raw Returns<\/h2>\n<p>When Maya reviewed her portfolio, the headline number looked impressive, yet she felt uneasy. Raw returns alone never revealed the sleepless nights or the risks lurking beneath the surface. So she turned to <strong>risk-adjusted performance metrics<\/strong>, like the Sharpe ratio and maximum drawdown, which showed how much volatility she endured for every gain. She also examined consistency, drawdown recovery time, and correlation to broader markets. <em>True investing wisdom lies not in chasing the highest number, but in understanding the journey that produced it.<\/em> These <strong>performance metrics beyond raw returns<\/strong> transformed her strategy, turning blind ambition into informed confidence.<\/p>\n<h3>Sharpe Ratio, Sortino Ratio, and Maximum Drawdown<\/h3>\n<p>Performance evaluation extends beyond raw returns to capture risk-adjusted efficiency and consistency. Key measures include the <strong>Sharpe ratio<\/strong>, which divides excess return by volatility, and the Sortino ratio, which penalizes only downside deviation. Maximum drawdown reveals worst-case loss exposure, while alpha isolates skill from market movement. Investors also weigh the information ratio, batting average, and capture ratios to assess reliability. Together, these metrics provide a fuller picture of how returns were earned, not merely how large they were. A strategy posting high gains through extreme leverage or concentrated bets may score poorly once <mark>risk-adjusted performance<\/mark> is applied.<\/p>\n<h3>Win Rate vs. Risk-Reward Asymmetry in Live Trading<\/h3>\n<p>Raw returns only tell part of the story. To truly judge an investment, you need <strong>risk-adjusted performance metrics<\/strong> that reveal how much risk was taken to achieve those gains. Consider the Sharpe ratio, which measures excess return per unit of volatility, or the Sortino ratio, which focuses only on harmful downside swings. Maximum drawdown shows the worst peak-to-trough loss, while alpha isolates skill from market luck. <\/p>\n<blockquote><p>Chasing high returns without checking risk is like speeding blindfolded\u2014you might arrive, but the crash will hurt far more.<\/p><\/blockquote>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' width=\"606px\" alt=\"AI trading bot\" 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s6GRn5DfBVQuGmtzzg09QP6h\/gk8nqD\/AFL\/ALK9I5qL1G+CQxQn+rb4JkIebcxUfMP+yk5mf5l\/gV6pRWGuubXPobc+cMODsNzvUpuidQSAlthn3HZOWYwVHAHkBhn+af8AZRzM3zTvBesV2kbzbYXVFbZ5YomnBeWjAVWKeA8Ym+CKAPOuZl+ad4JOal+af4L0Y00HzTfBPpbU+vnFNR0fOyHg1rUyA805qX5t3ggxSj+rd4L1j4FX1x2RYps\/RCY7Rd7BINjmBG\/0EyGtTynYf827wRsv9R3gvUjo28cTY59\/8iY7Rl3HpWSbP0FOGLs8uLXH5J8Ex20OIIXptRpOvp43yzWiRjGekSzgsvqKjhjpdtkYBB6AsyhYqZk6gAxlQlPmGWFQDxXzsWtUz10tgQhC8Z1BCEID0\/kkog9j5iN5etdrNmGFuODVmuSGoY2nMed4cVqtZjaaSOlq6dDrHwnjNweBUPHaVWyN2jlT7vBKyqeQ3dlQ2sJ4hd4o4yZGe1cyCpskW7goxaQcKTjczFnNCELymwQhCAX5ISDil+SkWwa21HapI+5TDstGTwUGynNExTZfQK+ktjycxBNF1oE0Y4OUUDKUjAWc7LlJfPx9Lgjn4vWChoUzDKTOei9YJeei9cKGAnAEpnZbEwTRD5YS89EflhRMBCZmLEvnYvnAl52PGOcC5U1DWVpc2jpJZywZcI2F2B7EnklVgf0aXfw8w704nIWO4mZ84E7nY\/nW+K4UttuNdWx26joZ5qqU4ZCxhL3HsCfcrTc7NVuoLtQzUlQwAmOVhacHgd\/QrnFjoJY\/nGpedj+caoW\/pQrnFrk8SxDjI3xS87F863xVehXMLFjzsZ\/rm+KBLH0TNz9JVyFLkyosecZ88z7SA+L51n2gq5CuaxbFmJIvnWfaCXnI\/nWfaCqwMlOAwmcWLLbj+dj+0E4SMHCdg+uFWITMLFqJmD95b9sfqnCrc2MwtrcRuOS0S4BPXjKqEJmFi3bWzMgfStuDhDI4OfGJfMcRwJGcEpBUZGDVDA\/8z\/NVKEzCxb8\/n96B\/tP80gdH84z7QVShM1hYt+cYP6xn2gl5yM7ttviFT47UdyZ2TKXLJAxwdHKARwIdgruy41sZBZXygggjEp3Ho6VQABKmYWNALrcA0N98qjAGAOedjHiugvN26LvV\/wDyHfqs7spRw3JmBo23u8f8Xq9\/\/wCQ79V0kvV3mhME91q5InNDSx07i0gdGM8FnaWkqq2dtNRU0tRM\/OzHEwvccDJwBv4AlE1NU0rmtqqeWEvaHtEjC0uaeBGeIPWqpELppXUFVNtOHv7grMHrXaLurmGju3PUVa2bUmoNPSc5Y7vV0Tido8zKWgnGMkDcdypCcPd3lAIK6GTVs5RNes50s1fd2maTnZCKuTLnYxk71T3G5XK71j7hdayerqZA0PmmeXvcAABknecAAexVqBtuOywEk9ATYXbJOT0hL7Co7mVDBl8cjR1kEJu271j4qpglY7Fa2jU2oLFE6G03Oamje7ac1mMEqjayeQbTGSOGcZAJ3ocJ4wDI2RoPDaBGUepHFSVmjWHlE1q5uDfajiHbsDePYomoNX6i1PHTw3uvdUtps83loGM8TuG9UDBNJ+zbI7HHAJQ6OpYNuSORresggKaEUUtEjtgowVwaZHnZYHuPUMlP5qrJxzEx+qVoqR039q2VJyua+oqWCjprwGRU8bYmDmWHzRwzu3rCuMjHbMgc0joO4pzGzyfs45Hj+UEpct7G0uHKtri5Uk1DWXRr4ahpa9vMtG4jB6FkACmczWHeKefHXsFcw9\/AkhE7bB67nc57ELm2OqkG1HFI4dYaSh8dVEMyQyMHW5pCtyF7Y9WXjT0borbKxjXu2jlud6tRyqatBOKiHec\/swsb5PWkZFPMen0Cub+djOzIHNPU4YKhMqvexq7ryg6ivFDJQVskLo5dxwzBWYwVzY2eU4ije8j1QSnOp68NLjSygN4ksO5NisU7QU+x3uusFaK+hLBIBjzhkKp23dZTxFWPALIJSDwIaVbk2NyeV3VO1tEU32EP5XNRvaMwU2RuzsrCmCtAyaeXHXsFc3mVhLHgtPURvS5czN3\/AK2tQkYdT0p6vNSO5Wr+eNLTE\/RWFY2okzzcb3Y44GUvk9Yf3aXHXslC3ZrK\/lHvFwpJaSanpw2UEEgbwvOdRDNE\/sVs4SsdsSNLT1EYVXfBtUMncsy1JcxUm9hVeeKsD6BVe7iV8zF8j10QQhC8J2BCEIDb8mNa6GvfDncSCvS9TZkga49LV5HoCTYvYbniF7DeoucoWOx0LouR1h4WeZ3WjY4udjes++EMcRha+6R4ysxUNw8969ETzyIb4wW5woT2ecVZlvmqHI0bRVMlchCF4jqCEIQB0IS\/JKRbBqbEc0TVPkGWFV1gOaTHUVZO9Er6MdYnkfiIjelBOUAcUhwFzNgjBS5ACXOUABPG4JAQEoOUAIQhAbrkmu9rtF9dU3a7NoYI9iR200kSgHe3d2L1B+vOT+vtclBFfaWi5jnHwvFOdp20SQDu6Mr52Ayl2QuE8PGpLM2D3ka+0fR8olrvDLxSsimtEtBLV08Dv6PK9pAlPSSD4LUWy\/8AIzJGwap1Pa651Hb46OophTudC9oEpDonuaXl205pIzgEnuHy9gIwFqFJQ2NKVj6Oi5QOR59RPRm3WSKk2iyJ5t+SI\/JsjfjOed3K1l1XyBVdPUV\/lVmhuLocRyut5cGEti3bGzh3oyD2r5cwEbPUuuRM0qjR65y51vJjcbbp2fQFRSNnhiMNTT00Oy3AYzEjnFoOS4O80l2N5zvXkiQDCVWMcqsYk8zuCEIWiAgDKAMp3BQANyVCEQBCEKgEIQgBCEIAQhCAEoSBOUAo4p2E0HCdnKlgIBgpUIWjJpOTzVVNovVlJqCsonVlPC2WOWBpaC9r43M3FwI+UDw6FYcpuv6LXtxp62htD6BkQe4tklEhDn7OWNIAxGC0lrejbdvWLQqlzFybbz8cR1tVmqmhOJ+9pVoHbl1jsZY8ODZtvZDsOzgjce9Tr3dBerpNchQUtFz2z8RSx7ETMNA3DozjPeVXuPnE934JQcrqjmPVxpLUsukr5Fe4aKnq3RMezmp25Y4OaRv8VSg9acqNj0i5ctlbdYTFPpW0Y54S45s43HOMZWAudb743Cor\/J4oOfeX83GMNbnoHYoyERW2zaaQ5TKjSdoNojstFVtM7pucmadsZA3A+z71G1fr2bVlDT0ElqpqVtNIZA6PO0d2MElZRCou9jUaJ15U6KNSYbZS1gqMEidudnHUp2pOU+p1FZ6izvstHBFPsEOYDtM2SDuPs+9YlClgm0XOldSP0vc\/fFlFDVeYWFko3LZnlsq+dMjdN0Abs7IaAV5oMdIS7uxUJtbFxqzUjtU3MXJ9DDSuDAwtiG47zv8AvV3pXlLl03axa3WOkqmsJLXvGHbznf1rGbk1Bd3uejO5Y5+Y5hmnqNvHeRvwVga6pFbWTVbYWxCV5dsN4DPQo47U4Y6E2Dbe5tbNyn1NotMFqNlo5WwYG3s4c4DrXHUfKI\/UNC6jdaYIcua4PbxBCxxGShW4uegU\/Kw+CnjhdYadxZGGbWeOOlZfU+ofhJVR1TqKKncxmwdj5XaVToRIXb0NNpXWztMwS0\/vZBUiRwcHOHnA96tanlSbU009ObFB8eDv7SsIk3K3JmtoI52Xl2BvOcLb27lJiorfFRSWSF7omhvODiViCcpECN0eU9jo3MNkhGTnoWV1DeG3yu8sbSsg80N2WquOOpNJwgbvoaPS2rYtPRSxS26OpEhzk8QrgcptI0YFljxkHgFgC5NLkCdi31FeYr5cDWRUwgaRjZCzl3G1RSD+VTQepRLkNqlkH8qyyPUwzuBVe\/0z3qxf8od6r5fTK+di\/Cj1URqEIXgO4IQhAXejpeavkH8xwvdapvO2phxwC+fbHNzF1p5M4w8Be\/0koqLM05z5oW1sdafMwl6ZguWUqW\/GHC2F9HnOWTnA5wrvFnGa1I5Z5qgyNO2dytSzLNwUCVvnnctp3MMpEIQvEdAQhCAOgoQOBQt8kDSadP8ARnDtVq70SqfTh+JeO1XOM7ivoQ1ijyS8RDBxnK0\/JnHYJddWl2qJI2WqGYzVPOei5rWkhvtIAVH5Mw78JRTR9KZGaUkj6gm5Pfc93u43K+MutM2kfK1zmxzbLIQ4DgBw35UC4cnXuejTziG9Qh8MB5rYqhlxHDvK+cWxlkbomSPax\/pNDtx70zyaPtU4T6nTjR6Hud25P+RSi0hPcKa8RzXOKkc9sflY86TGQMLwNvBTBTRI8mi6EVNrmYlUUuREQpfk0falbTR7WME7lcjJmIjcJ2R1rvzDOpHMM6kyMXOGR1oyOtd+YZ1JeYj2c46UyMXI+R1oyOtSPJ2dSXmGeqFcrJmI2R1oyOtSBDH0tS8xH1JlZbkZAUnmGdSDCwdCZWLnDACVSDFH6qOaZ1JlYuR0KRzTOpOMMfNtOzvyfyTKxciZCVSOYZ6qOZYPkplZLkdCkiJmB5oS8zH6qZWLkVJkKUYWdQTjBFsNOyM7wmVi5EQpXMx+qjmY\/VTKxcjDeN6VSOZjwPNHEpebZ6oTKy3IyXJUjm2eqnc1HzbSGjO0R+CuVkbI211pcjrXfmmeogRM4lqZWQ4ZHWhSOaZgHZHBcZQGyvAGBncrawOtEf6Q32q1B3KppDioZ7fwVm07luOxGdHvwejgPwQHJkhGQesBJkroYZ15wdP4JwfuXDawgPyrchI2+5LtjrUfa70batwSNodYRtjrC4hsx4RuPsQRKOMTh08EuDttBG0o+2l2u1Lg77SXaHQfuUcPOcDeVKFvujvRttUendC79FbgbtjO8jwRtjs8F0Nqu+\/Nqq9wyfiHbhjPUoe2gO+2OsJQ8dYUcPQH78AZJ4K3BI5wdYSbY9ZSfeO+E7PvPV56uZckNivgJabTVgt4jmjuS4syPtjrCNsLkWzN2tqJ42dzvN4d657aoJG2Em2Opc4mSzythhaXvecNaOJKszpTUrRtOtFQAenCgIBemmQKdLpnUELHvltkzWxjacccAq51PVNh8oNO8R5xt7Jx4qgcZB1qTaxSzXSkirX7NO+djZT1MLhk+Cr9rPSkLj1rLJJXTR+iGn+Rn3M81no53m2yPkga5xe9pJOFPdyM+5lYDmG0j6zV+fNjotQ3yR1PbayfMYzjnnAAeKuBofXD3bBq5xnrnd+q+dLA1JO\/EZ+Nl+lsZNt97l9fyfXnKlyW+53oND3Wpsz7dFVxQOdG6N7doOxuwvgytwYZADncVpL1pvU1npufuM0ronHZI5wnxWZn\/ZPHYV6cPRdCLUpXPu9ldmVezISjUqud+vL1MRJue8dqr5v2hVhUDEzx\/MVAn9NefFeE+\/R3OaEIXzzuCEIQD4HmOZkg+S4Fe7aWrW1NmaM5yxeDL1Lk+ue1Qtic7gMLS1VjcHZki+t89yycw+MOVr78PPdjtWTqGeeSF3jsYnuNjGWkKFNH8YVNi3HBTZY8v4LRhoySEIXkNghCEAo6UiB09yFvkC+02fNeO1X2N6z+mz50gWhHavfT8KPLPxMfg9SutKUtoqrlzN6c0RFu7afsjPeqY9QXv3J4OQZ1LH7\/AMdK2ZtKwufO92+TG\/dnjnKlatwY3s38DxYvGLBRU3Fy+BhG2LQoc5xmj2drc3nTwS1tl0GygndBLCJgPMPPFezSye5obzQLaPZjkLstc8k9h7Fw1DXe5yqbLc4KJlBHOacmMsa4Haxu2e3K8yxt7ewzxLt6L0VGXkeOU1p0GKKMzyRmYsDnYlPHxUx1j5ORssdUwtJG8iYn89yg2yp0K23RCpgaZQ3DgQclVus59L1DoH6dh5vjzgAIC99z7t0lexn7lFSxXCeOhdtwNeQw5zkKM0YkG7CfgcUmMyNVOZwSpdk7944o2T2IBClHo+1KRnqShvmHeOIUQEQgA9YS4PQQjJqhMfghKAc8QgDrIRFEQeCXHaEYPQQjAHihKW7\/AEggD+cKgQAFPG+NvY4\/kkDMfKCdgc1naHpfkpzA1CXAx6QRgesEYEHD2oS43Z2hxRgesPBUCJx\/Zt+k78kmB633J2BzY84bndXZ\/kgGIS4b633IwPW+5AHyfaUAJQBj0uB6kox633IBAMJwHxY7Hfl\/kk3df3Jw2eadv+W3o7CgGYCMJ2G+t9yMN6\/uQCY3BcJ\/2rvZ+AUnLdkbyo1R+1OOofgFGApzidh7VZt4Krh3Ss+kFZAqw2Ix0p9H6P5lejWrlftdtt1LRSaGpah0ETYpZDUYMmBjIGwdk\/5rA0MMFXX0lNUlwjlkDHFvEDP+a0NHByXOoY3V13ukdWWHnGMhBa12\/dnp6FrcmxD1dq5mqZIpGWqGi5lz9kRuBy04w04A4YO\/tVZUXOCe1Utuba6WKane8vq2AiSZpOWtdvxuJdvxkjA6Apd1OkKeqcbKautpg2MbUp5pweQdrdjeMgKEK+x7O6zzZ7an\/JUEQOK60tW+jqoauMAvgkbI0HgS05C7uuFlyNmzSY35BqD17uhJ74Wcb\/eZ2CeHlB3fcrcljb1HLTdpmsDLJQR7Dy442iHAtLSCM8MH7go1byu3WsNQ51noWmpgED8B3bvG\/dxWSbcrQBh1lB3j+vPt6Ee+dqJH\/gjR1\/HOQt2OpbwymtlVbnW2llfUEFlQ9mZIuvZPbgff1qDtlS\/fS2YwLFED1885ON1tmBs2GHcd\/wAa\/fvVIyJHO6KRsjD5zCHDvC2p5XtRkRAUlEDEANrYdl2B071lTdrcAMWKn4dMj\/1S+\/FADkWOm+279U1CdjUy8r2pZWSMNLQASDB+KOR96y8N8qIbZUWptPTllQ4OdIYwZB2A9ST34oznFlpgcbvOd+qT34pv+D0o9rv1RXF77kLbwl23RPa5p3jDgpfvzB0WmlHig3mPIPvbS8PVQGmdytaoe1rXtpXBoABMZzu9q5DlR1IMjm6bzhgksP6rPm9tzkW2lH1Env3xxb6UfUVuxmJg1bdGW2rtmzAYqwkvcY\/Obk5OD0Kl2iehTjfHbsUFMPqJDe5Qcikpx9RW5NyLT1ctLOyogcWyRuDmntWldynarc0MNRHgY4RqkdfZgTimp\/sJvv8AVOMCCD7CXF7bFtUa\/wBS1QkbJNHiVuw4CPdhVbr3cnW42skGAnONnf3ZTffypIPxUP2EhvtYfkRfZQN3InxnqHwRsy\/Nu8FKN8rc5xH9lIb3W9bPspdEOtsul2s8pnt73xPcMEhqsxrfV21tCtlzjHoqnN7rj8pn2UhvFaRnab4Jct7FzT3+8XKY091kllidvAI3A9az9e0MmnYOAcVMorpWPqmtc4YdkcOxQasudNNtHJ2ipbW50nUzU1DoYesGKqQdpVdP6as7iMVsg7VW1HELxYnwM3S3OSEIXzj0AhCEALT6JuBp6kwF2ATkLMKTbak0tZHKDuzgrUXZjY9TvDhJE2QdIWYmblxKu2z+U28O44Cp5BvK7LQstdSO3cdy77G0AVyI3qRGAWhVGUYVCELzFBCEIBW8UiBxQtrYF1pw4leOxaMDeszp04qHDsWnHFe6l4UeafiY\/ifYrTTUlFDeYJLhEZIN4LQ3aPDqVYMLb8l1TLpjVdDqS6WKsqKCPIL2UzngZ+UN2\/q9q3OeSN0cK9V0abmldrZdS9dc9IB0YbQyPawnaxTkFPrLvpR1LI4215Gwdn+in9F7GeW\/QTRK+LR10kc13nYtwHHpOeCfXcsuk56OaNvJ\/eXRmAkn3vbjGOHcvnvtGrtwvqfFj23iW9aFvmeB2e\/6Zit8YqLe5zwCN0GfvU0X\/SuzH\/4U8uA87+jHd9yS2autsVMXMsNU\/wA92GNhy1oJPT2Ka\/XFHG10o05WDZG8mHds9a+jmb1P0sdUmzzq\/TUVRdJpbfHsQuO4Yxv7lXH02d6sr9cKW6XSWso6fmY34w3CrnDe3vWji9ziR5zh2pUO3PcO1CoBKBud7EiUcCpzDEQhKO5GBOlKBlBGCEo4IgAHYggYSoPBGBMdaVA\/JCqAJeMZA9YfmkTgPMd3gqcwNQjGU7ARsDRwPegAlHQlB6MIgBGEo\/Zn6Q\/ApUY8x3eD+KcwNAyjZ6krUIBBwPeEoSDeClHBUCpR+zd3tP4\/qkTmei\/sbn7wgGoQhAHyR3rjUek09bV2+T7VxqNzmfR\/MqMDIzh7T2hWYVXn7lZjiVYkZ3pJOarqST1Zc\/goFXFzVZPF6kr2+BKlN\/bQHqkH4hcrscXaux\/Ey\/8AUVUQ5w+i8drT96aBlLTnPOfRz94QBvO5VANkIxuHelQeHDpQqDA6kY84IR0jvVIA7kIQgAnhuSeal6AggIAHH2FJx3JRjPsKaFUyWBKc7kp4JDwCXDQvAJo6UuUg6e5BYN5QgbkKkSAoQQepGD1IQOhCUA4O4pMHqKAEHijB6ilLXZ4FAIgnDfal2T1KRbrbU3WrioKUDnZXYbk7spcthlA7+mRfSRW7qmYfzLQzaA1HbLnHTyQMlcxgmdzZzhqoLk0srZmkbwVeRHdGIuzcVr+1VlRxCtr03Fae0KqqBwXkxHgZ3p7nBCEL5h6QQhCAEA4II6EIQHolhlE1taM\/JUeVvnkdRVPpy7iCPyd7sY3BWkk7XPLgdxXoWuovcaWp7MgYTdsFObwQGGQhC84BCEIAHFCBxQeK0tgWmnzir9i1QHSsnYTitC1o4L3UfAjzVPELgnoX0xpv3TulLPpuitNRpyqdJBE1jmsY3ZyABuXzUxzgBgqysVvkvNxjoBUc1tgnaWqtCFdJTPBjez6PaEVCsr2959FR+6n0pFPO9ukKp7JXB28M39661XustNzRvhj0hW7Dm7OCWdXDuXjL+TiobNzQuYOcYOF3HJofPzd3ENbncBxXn7hQPB\/hnA\/5X5jKHlHipH1B95nBk0skgY0jDdo5wukvKdzsEsAspAezZbk8D+ii2bQbLlE58lze1zHuYcAdBU9nJrBIAW3h2M4J3bu1ey3I+\/FSjFRR56Q4uc4sIySeCRzXnHmniOhX2rNPjTtTHFFXGdsoyD0hUL5Hhuds8etUxa24ySKXnHYjdx6kczN80\/wSySy8674x3im85IeL3eKoF5ib5p3gnNgnw4c07h1Jm3J67vFK178kbR4dagF8nn+Zd4J4p5\/mXLkHPPyz4p207GNo+KMD\/Jp8j4oo8mnzjmz4rmSRjzj4o39JREOvks\/qfeEGmmHyR4hckHgqynXyaUY9H7QS+SydbPtBcBwCXA6kB28mf68f2glbTP2X\/GR8B8vtXBK3OHjs\/NRg7CncP66L7aOY\/wDOi+2uCEsDrzGAfjovtJRCPn4vtLiOlCIHbmW5zz8finNijLH5nbwB6etR05voyb\/kj8QgH81D\/Et+yUc1D\/FN+wVyQqDsI4MH+kjh6h60bEA\/ev8AkK49BQoDvs0\/8R\/yFOjbT4kzOd7fV7Qo+7CdHguI\/ld+CgOmKX51\/wBlGKX15fshchwSrQOn9G2Th8p3j5I\/VR6oNJYY9ojBG8LoOlc53ODGYcRvd+SyDjsu9U+Csm5ySq7bf6xVgx2WtJPFoKsQxZH7Aa7qePzXrWjuSuw6xhrK6qo7rLURuke7mXBjHksDmBhI34JJd7F5FP8Asj9Ifmre7ahvdBXup6G61UETGRua2OUtAJiZk7lbN7BWRpeUzQdn0dJb57A6eegrad4dPJIHB07HDnGDA3bOQO9YEuYCfNPHrXVtxuFWyOlqayaWGISOjY95LWl2S4gdGTxXDZc95axpccE7hncOKq0IxdtvqHxRtN2T5nT1pqUeifYqGKC31B4pcgEHYHimt4JVGyD9mVzJJWU5dHGQHuAOG54Z8CuYlHqBavRlsffKO5WCOURvr6mhja8jIbmUs2sdm2FQ26lY2\/U1FUMD2tq2RvBG5wDwCFhVFdroKbU58PmQy\/zWnZCNs+qF3ukIpq+pp2t2Wx1EjAOoBxH5KMui1RpxyyaY5r8OHmt8Em2fVb4JAd4QqZHbZ6h4IMh2Rw8EzaSZ832oVnTnHdnggSOzx6EzIR8oIQdzj+tIXu600HoSkZCAUvfgb0Bzz8pNPAJRwVuSwoc4Z87oSZPWjifYmoBdopS53WU1KejuRMNBk9ZU+xXT3mulNczGZPJ5A\/ZzxVejoKA9HreWGoqboKuntzWtkh5hwdxx1hYa8v5y4SSYxt71XtOHA9Ryp11\/2lrutgVTEm3uY2\/DFWD2KnqPRCvNQtxUMPWFST+ivNW8LOtPdEdCEL5Z6QQhCAEIQgFY90bg5pwQrOmu7mgNk6FVoW4zcSNXNLBc4X7i4KeyojLch4WLBI4ErsysnY3ZDzhbU4sao4oQhcSghCEADig8UDig8VpbAn2Q4rmLYDgsbZziuYVshwC91DwHnqeIeOCtdNW91zu0dKytNK4gkSA4IKqhwWi09p+G5U8dWK90MnOFpw4AgLvyMxV2akaNrHsDpdS1WS7B8\/8AVP8AgY8SFnwmrQ7Gd0nELkNH0zo2\/wD6hlJLt453h2qSNF2nbDfhBOZNk5+O3qWOyRCtWjqWZsmb7WM+NcMtlAzg\/ipsGiKGSF7m6jrGlud3O7vaq6z6XskstTFVXeQc1KWtxNjKnQ6T0y\/I9+pGY3O+PTQljK6vs8VoqomQ18lS17eMjskLPP8ARK0ms7TarXUwC2XA1LHt37TtohZt\/olU5PcbJ+1KQcUsg+M9gSYVILu4oaN57iggIYDtcFlAGpU0A9RS7\/VKrQA8EqaQ49BTiHA+iUSIwQdyMO9UpCHHdhUoZ3DclSbDscOlKA7G8IATmfK+iUmCljBJI\/lPT2KMDUJcHs8UYPWPFUCA\/grCtslRQ2S2XySaN0VzdOyNgztMMRaDnv2hhQA3fvLfFau9NEnJxpp4cPiqyvYfaYz+S5Tk4uKXN\/ZnOcnFxtzf2Zk05nyh\/KUmB6wTmAZPnD0T+C6nQYhLgH5Y8EYHrjwQCdOOwoSgDPpdB6EbutAInR+l9V34FJ5vWU6PZ5xoyd+7gowNalKTzRwLvBLluOLlSAN+e780yfewHqKe0tGePBW1baYPgbR3uLAlNfPDLnOS0MjLfAud4rJ0hTdS+XkrlABuU+P0GfRH4KADhToTmJh\/lVRhjpN8T+zB+9dr8M1rJeiSnid\/ygfkuMn7J\/cPxC73zf73H1qGM\/8AM5UhCpd07e0O\/ArS8nrGy6qigIB5+mqYcdZfA8D8VmabInj3fKAWv5NaWsOvdPbVHI1lVVRMYS0gODnFmfEOHsK51dYNe4xUV4sx5O7qWi1RYWUDKaqt9MWUzrdRTSuL8\/GSsJ6TneQeG5QaCz3G6XWKzUdMPKZs7DHjZ4Anp7AvWeUbS89NyTWDVgkgMdbRUVLsNb5zXQB7SXbsHO0PBc511GcY9T0Yemq03B7qLfkeKt4ZSkgIa95IAAJPUEpe4O2XNAIOCCN69FzjY945C9FWGbTsusriLhJUm+UFuYyKRjYmMMkcnOOBaSSC0jcRuKnUvJBV1nkEdLBBK9mu6ljQ+TZ2qcUrJnZPR5sZwOtWstwq6Tkq0BWUFS+kiNdRNnbTnmxLskZ29nG1w6VsdPSNgvEDHuwPhkx5GeiWzvA+8L5ML1ozqvm35K5+p7K7Ew9amqlW7bcHddGpaeaPHPdb2WK1cpFM6ipGxwy2yN55tmAS2WRhO76I3ry\/RVsiu18FJUUpmjNNUPLcHcWxOLT4gL635er5Z6q4X3SMtM990r7LO6ncGDZDW1Mxxnr3bl5xyd6Wm09PX36+ukpom6WMT4WszKQ4FriOjd+a5YXEyp9m52tVdLz09T4WJwtR05VILdyS+Xv+Z88TUVVSzPiqKaSJ0btlwc0gtPUVxIcDjZK905XdHWu36fuN9tEsz21dVR1R5zHmg88z9F4XI9wkcNo7j1r7UZOSu\/70uXG4OeBmqdTdpPzE2XeqfBaShscNXow3EQYnF2jpjJjeGOZw8VX6jtHvLPRxsmdIKqjiqckYwXA7vuXuPJzo4XHkHuxrKR8U7q+Orjc+PD\/N3tIyOBAXmr1svDt\/NJLzPHCLrVqVKO8pJep4JcaF9vuNVQEl3k8z48npwcZXANcSPNKt9bU89Nqe4l8b2NkqHuaSNx68eKpA45G8r2N6nfE0+FWnBcm19RwjePkpdl3V9657W\/elVOCH7DsDgjZI448UwndlCEHgHPEJuz\/MEnSE0gg4KCw\/H8wSkDA84LmOlXujLDV6j1DR22jpzM4u23t\/kHErE5qnFylsiSagszehS7vWQBtA434HQF6ReuS+6TxCG12t5qTUPyAMebkrRaK5JZKPT91rr3QyNqWQv2Q5vDC8ssfSp2Ter5EpSjVqKkt3yPEcqfdvThd1xheg0+j9KVFgtdW+VrKh9UYqjz9547vHCyWubfT227eS0rw6KPLWkHO7cvcjUotGA1EPPjcqKb9mtBqEebGe1Z+X0MLhV2Z0p8iMhCF8o9IIQhACEIQAhCEAIQhACEIQAhCEAIPFCDxWlsCVazitjPatq3gO5YigOKuPvW2Z6A7l7aHhPPV8Q8cE4SyxjEcjmjsOE0DcvoHkg5MeRrVGg47pq66yR3R872yYqNjmwHYAxnq3rdWsqMczPBjcbDAU1Umm1e2h10TyOcn2otM2671+tH0888bZJg6cDBPFoGeta3\/UhyKwmGM60aZsE4dWjL93eukXJL7naliMUmoX5a0kE3DGN6kQ6K9zJRsaHXGkmeDvdJcTn2718iVWcnpKXkfkKnaFScm41Klr7ZV+TwkaX0XS367UAvDaiCmqHNhm57GW+O9d22PQmxLisjyw4GZv8067WnkuptY3mmttVDJbopviHGYuaN28NPSM5TqaDkzD34kpy3OMOP3hfYp6wTP3eGlmoxb5pb7\/ADM1q6h0\/T09PJaJ43SE4cGvzkdZ6llneiVqdat0s0QHTzo85IcGccdqyzvRK6FluNkcdpu\/5ITdp3WlePQ+iE1UguT1lKxx2gMnekylZ6Q70AmT1lOGcbyU0cU5RkGnIPFBJ60E5R0hUooHWUEdKVCmpPeN+T7UoG5IPzTlSiYCdGMP7wUiWP8Aat71AIEICFSIAN+Vqaz4zkvt7\/mbxLH9qIH8llukd61TfP5KXj5q\/tPsNOVwq7xfvRir\/L8TKAdKcz0u8Efcmt4J8f7VnaQu50GjghA4IQAPSA6ygcED0mntQOCAE6L9qz6Q\/FNSsOHtPUQUAg4ISuGHEdRwl9ijFwaMHf1H8Fpf2nJvOOPMV7j3bfN\/4Ss23t6itLQfGcm99B4srqTHt2yf+lQ9eD1lJf6Zehj1Npz8Uwdh\/EqEplMcxN7CQkdzyM6v3scOwr0\/kyn03FT1FZqNlqLY6CJtP5dg5kbN6LRnfuJyvMXei76J\/BdK\/wA6z23r2px97UauEz1jlNm0THai20Xi1VVxhvYeW0cQaDDvwQRuxwB6NwXr9n13U3Wk1rLFQWyibpZ8FJb3U0LQ4N2KiTaJIztbQOSOkZXxzEcSMJ6HBbuz8o19tlh1Jb3Xd7qm+ujbM6aMSula2OVh84glpAeBkHO9efEUnUhZbnv7OxMMNiFUqq8db6X3i19z3u9cndsuOvbLqy2P5qpLpoKiLdzbtiIBpGOB8\/7lV8qFkr7R7nSxWq50\/NVVLJUvkbtteBiWPZwWkgjDlY8j11kuOl9P1FbWPrKqC71EMkj37RcNhuMnqwAr7lqoZblyLHyaF0ksTS1sbGlzsnyc7gF82onCrBSfNI+5XwVGcodpU7p1YVW1y52+x8fWKVkd7oHvALW1MZIPDG0F7Fo\/k5fU8olebvR001vrbnWxRtO8tdBMCQeoHaA8VDsHucdTuprZqC53SjpqWtoW3KBrMuk2i8BsTw4NDXHedxPAr6NrrPpTTViFbUWmWe4OvFdW+Uw1zS9gkmaHAs2cBpLRgHeMcSu+JxUbp0ne+nr+D833WtONOUUsspWfys36r69DzHlFq7bHyWto7RSyQQWO9EAyEZJ2w7cBwGTgDqCvquUUuo382Thmp7JLu6WvgqYT+CxXKLebPNye6mpKK31jZHXPnC+SqaQ13m79kR7weraHXnoXnVs5XtTXO6Cnufk8gr6miLnsYWGMwyuc0twePxjxv616KNNKnlR+zWKw\/Z1SNFppNRt\/tc19y617yhXWXlju1XqKfnGWyrq7ZHstDSyn5yQAbuJ84717G+Wmvmmrhc6apiljOnZmNdG8OHmtzgkdOQvkS4842vrWPe5zhO8EuOSSHFevclevq2j0JqGzx0NI\/wAjt8jGOkDiXNkDtrOHDh0fes1MLF0lT2Wn0PkdnVo4pzwNTRXlKPW9tV8GkbvTlysnKLpGK33CiOzPS0kb4XSb9ptUWbTcdruC+dH6TvbqSS5vpuaY2eOAsky1+1JktOCOHmlWNJfaqyU+l71Sv+MopnzNaSQCWTl4B7F9eWO16V1jpm86jbTR1Tqijopm4lcDE4SSNDsnfvae3iueNx7wlKMst72X1t6P6GO0ase0MNCe1SDhH4qSVn8rfU8Lu\/JRfa2kgMtpfVTw6eaIzGC5vPNk4A9Jxle13upqrJyVyNDjBU09FbY3N3ZactaR4ZC8e17ysm5asZZrLd6mCjoKY0r27ZY10rXjx4Ly\/Veq75UXitMl0nc3nQ0t2yA5rXZAPXgrFXAzrVYyctItP0Pn08JQwOJ7y5NunOyXLwteup7Ry86Yttw5PKfVEdKG1dDK1rXMGAWyPIIOOPAeC+axkOAPWvsK2so9dckUMVXtNE9PTTOa12SDtuJ3r5c1paWWrV1yttMHGOCo2GZ3k7hhfRg\/4lTpm9UmfY\/U2F\/+meMp+CTX1jc51loiZpe33WGFxmnqJo3kb8huMfmqTJ4L6Bs2jamPSujKG42jm3S1kkkoxg7Dgd7vYvENUUQtmpLpb2RGNlPWTRsbjg0PIH3LnQrupJwfva+F2kfmZ0J0Goz5pNfB7F9Poyc8mMOtGMYGNuDqZ5+UQQMfeszardUXarbR05Ae5rnDPDcMr6Hbpue7+5lbDRQB0wqmSNaBxO5YLk00TJVvpq3yZwnimnjl3HIaGHivPSxjcJyfKTS+RwrSlSpcVrRuy+J5\/pzTt11NdBbLVT89M0F5HQGjiVf8pOka6wV8FVLTBkNRE0At4bQG9fU2i+SfS2hpbhW2ylcap9E9pfI7JGS0\/kvLdL36wco5+DF\/wa+jqnMaHHBeGuI3ewKUMa8TUcoL2UvM+lhsDx03J2lZuK6+78HzuQR0L1T3NsTpeUaIgbm0kpJ+yvTNTchmkPeusMczqVnlLpOcY0EtAHDuTeTm36Y5K9K3TUQkFfVtDpIXu3HZxjZ3exc6uMjjMJPIn0PA8NXxOFnUjB2Wj8zcSz+TXaGZmyDzjujtXae5S1lLX0kgbsvieNw7F5E7lXqJrjSGajYBIzn9zuGd+FqtJaxp9RPdPG3YEhfGQevC9FahTnVU8qvof0mn3SWMhOCXiS26R\/qfM14lqIbpVwCZ4bHUPwNo4BzxRXyPmoqaWR5c45BJK6arj5rUlyYOAqZPxK4zZdaoHdTz+a+gj+d11lqyj0bM1qFvxLT2rOPHmHK01\/A8l2u1Zp5y0rnUM0yKhBQvknqBCEIAQhCAEIQgBCEIAQhCAEIQgBB4oQehajsDtRnFTGf5gtxFviaewLC05xOw\/wAwW4pzmFh7F7MP4ThV3R1bwWg0tTWCp58XpwaWkbJ2sblnwVe6YfYGtqW3oNyW\/Fl35L08jC3NRDb9ABhEr2E7OAdrpXaGHk8hia1\/NOdneSSVyoqzQMVOGSMhc4Nx6JyVJjunJ9DFsCFjj183khQ6JIqWO0NFeJ9sRGBoAGBx3q3prnoBskvN00OyXZbmLPR0KsdedIwX3nWUgkp3R7JxF056laU2qNKMnkdFbHBrsbOIM9Clyoz2tKvTdVDAbLCxkgPnbLNnd2rKH0VrtZXe0XKlibQW90D2u3kx7OAsjkYWkcpbjXejGexNXUui2GZYTx6Um1F80fFUhzSt9Id6ftx\/M\/egSR5B5lvioBh9I96UkYT3SMDj8Szik50dELPBUhzTt25OMv8A5bPBLzzjjzGj6qFG5HWjI608yv6A3wSc9LxyPAIQYMYPsSgJ3Py4Pnfcl56X1ypYozB6j4JzA7nG+aePUjnJPXKGyP2gdt3HrRgTZdnGyfBGy71T4JXOftu893E9KTbd6x8VQhNh5I80rW26GSTkwuzNknmbrTy+LC1ZIk9Z8VrLDmTk61bGTnm5aCQe2VwXCtsvivU5Vdk\/evUygilHyE6ON4kaS3getcgM8Uo3OBHWuzOo7YcNxLd3al5s+sz7SRzQHu7ykVAuwc73M8UpaM422+KYRuSnie8oB2y35weBRstG\/nW+BTUHejB0kaznH\/Gj0j0HrSeZ84fBJJ+0eeskpMHGVGB7AzaHnOOexaC2VdNDoi9wyOcBLUU4bu+VsyYWdZue3vXoVg0fRXPkru93lqJGzMlmnDBjB8ni2h47Zyuc5KCuz14OEpTk4coy9LHmY4qXSn4r6x\/AKG054KVS+gewrcdGeQknq6wn1ZzaKE+rJKD7cFNHpDvUimoK652mKlt9HNVVDqstZHEwvcfMycAdy0RFTw3qROTzjsZHnuU+p0hqqihM9bp+ugjawyF0kLm4aOOc9m\/HHG\/guMlNTnDn1rGud5xGySRnCF1PTORvlEo7DTxaaq6eoklkuHlkL2Y2QBC8OByc9S93dyhDUnIfd9V6bbPbpqV0bYPOAljPNhpOQSMHmiV8jWWegtVyguDq4u5kuOy2M78tI\/NXdRe6qj0vbLRR6grIaOojl52FjCGykSvALhnoDiPavn4nCcaSt1T8j7uG7QvhVTqa5FK3wk4\/1PV+UjWYv2hNJ1kd2bUVcunql1UNoOcJophvcOIOQT2rK2Llc1jebJX0tzujKidrmOa50LA4tdKHO4AdJJ9qwWn2UBqKuNlTK4vt9Vkc3jhE5x6exMstdaKJtaHzVDXS0r2sO70+j711WHjCnw0tnfzdzhhasaMKd9vb87aMv7lqi412n9VU9SY5BJWU4zs4wC5+cdvmBYm2P5q4U0vDYmY7wcFYMutG2iq6N0U721ro3yOLxnLC7HR\/MVEZNbYnNc2lmJac75B+i7RhZWOOLxixFSE77f8AZv7j9Qx81qC6xepWzt8JCrbSV1ltVm1C6FjHmalZGQ7hhxLSe\/equuuVHX11TXzUB5yplfM\/EhxtOJJ\/FT7JU0j6G7xsoGgCj2zl5OcPb+q1JXVmTC1XDFOpTdvFb5plLU1757fR0BjAbSGQh2d52iD+S9C0HrG+ssV20\/77TCidFSOEO1u82ZnTxxv4dpWA8spv+HQ+0lSqK6mnqYeZpIm7T2B2M7wHArNSlGcMp47ubSb5r6HC\/B0N\/uOMgtq5d\/V55UKSSSXbfI4ucTkknJKv9UV3N6gr2ikp\/wBsTks3nO\/81VtuUuTiGEZHRGF0sbxF1Wmve\/U9Q5O+Vmts1FaNKMbFPDWMNNKMYdF8Z5p8Fq7xyVX67annu8VLH5JNcmyl73AAsa1ufxXhlsvNVT3KlqWCIOjmY4eYOsL03U3LDqe0alu1A2qAp2NIpmBm5jy1u9cHTtGUI7vU+t+4wxuFeFxc3e6a+Cjb8H0zc4KWjudrpI2t2WUko3f+mV5jqjkgpdY61s+oGU0XkbWBte3AHOYc7BPWd4C8gt\/LprFt5pKy63Bk0UbXMcCzdgtI\/NegWDl7u8dpdCyhoZZBapqnayciRrsgEZ7F8uWHr4bBRjCznGOW\/wA9\/qTtTGYWt2fGEE8yio321X21PR66\/wCj9L6aq9Mx3CjgbFUsMcLXDc3d0ewqns2pdL6emqIaVkJNW7nXyOcMN5zIyF8pXa+199r57jWSkyzPc8gHcMnOPvUg6mrX0MlHISRJGyIOycgNO5eml2fGnQdKTu27\/OyX2OGFxdCOF7pWhdK7T97jb1PuV99tzqmuJrYebfTlodtDG\/ZXxdFPddNa6qb5bebJp6+V7fOGHN2z+S42q9XY2G7NFxqCWNh2fjDuG1vws7I95dlz3EneSTxW8Jgo4fZnKtW4dOk6ejS+\/wDQ931RywX+56McynpaaGWsme0v2h5gXl9bqPUNZaWWd1wiZAGlrwHen3rhM5z9CwOyfi6xw8Qs5klp9i9GHowpwcYrS7PHTxdZU5U76N6lzLVV0j4pDWQtMMYiGD0BXWkdR11irYgK+Lmmvc8jrJWLAPBLg5BGV2yq9ztRxtWlUVRPVO5rZNPjU7r1fmV0Ykp5DIYwPSB6VD1FY5LHRR0z5BJweHDtVRQXiutQqYqSTZbVM5uQEcQptddqy72wyVjg50RDQezcuiPPUlxJOb3epk74NqicepZl3Baq7tzQydyynyVymIEY8UIO4lC+W9z1IEIQoAQhK1rnnDWknsTcCIUyG01s2MREA9anRacnOC8Fdo0JyMOpFFKATwC7x0c0jdoN3K+jsDm4+LKt6W0NZCGluCu8cOluYdW+xg0IQvEdgQhCAEHoQg8AtRA6I4lae0LcUpzTs7lhmbng9q29Cc0rD2L14fZnCruiS1XWlKq1Ule992iDoyzAy3awVSDrWi0hdLfbppzXURnDm7sM2sL1GY7mqpNR6LgZsOomPG\/GICU9mp9GxxGJluc4k5zzGVwtmqbNTNz70SycdnEPWnxartzYnxwaendk5zzSydURXaksjbw2eO1SSRCPZA5nfnPUrhmsqJ85dBp2r2S0AYp96qZNTTC6QTR2GY4aQxjmYJJ6lcs1XdzMNjS04GyABgIEUuqdTQ1lpfSzWSogkccNfJFsge1YJb\/VNzv12tTqaewywta7bLyOAWBA3LS2OU9xrvQb3lJuyld+zH0k1UyO81IeKAg8VAK\/0igEIf6RTVSbikBKOATU4HAQrFQhCMlxMcUqTBJO4pQD1KAEA4IKXZPUjZd6pRlB\/pu7ykTntcHnd0pNkqgQ71rNLDnNGayhzxhpJPszH9Vk8Hs8VrtFedZdW0xc3z7SZOPqvafzXGv4PmvVHKtpD5r1RkGpT0JA3Hyh4pSOBLgu1zqK\/e930ikTnN84+eN+\/gkwOtAIg8Sg7PWfBKdnO4u6OjsQCIS+b2o83qKAWT0\/YPwCTeU6TZ2uB9EdPYm5b6p8UB3o6GtuVZT263U0tTV1UrYIIYmFz5JHEBrWgbySSAAOtfSUtlbS8k5oBRinmhsdxdUM2Nhwk+PBDhjO0AzBzv4dS+ftH1k9v1VabrTtkBoK6mqS9hOY9mZmHZHDfs7+shercveqbvadYX\/S8N4qYh5S1jIWOLWGJ7JRPkDcdpzhnPHK8OJzTqRgvj6HpwddUqk4S\/mhLzujwZowpVL6L+9v5qO3oUil37feD+K9iep5iWDvC0ehb1b9Pzw3S5vqRT01XmQQMD3EGMtwWlzdob942h3rNdS7QjatNwafkSxu8XEKhaHo9Zyt6UlslfpmnsFxNNUw1JZVSz5nMryebDvP9EDAyDtY83e3IPl9QMlh62t\/6QowGFIe9wa3DiPNb09n+Stw3cZsE8F3dPUzR09M8kx0+RGNngCcn7yuG08\/KPikyQd5RhXSsmTLfVT2+d08cQcXQywkO6pGFh+5xUUxydWEw8T3ox0qW1uVttKPJDyx2yM48QjZ7W+Kb8n2oGSqZHNaM73N8U+GaWnbI2Go2BMwxvxnzmk5x9wXIDfhIhpNp3Q7Zb84PAp7XMjdHJt52Tnh1FckvyR7UJsTLtXR3S4TXDZMZmIOyN+NwH5KKAzPpHh1JiVvEIWUnOTlLdjonsjlY\/LjsuDvAqx1JdYL3eJrnFE9gmDfNdxyGgfkqtGN3FRxV7mMqbUhz9kgZB4dalWy6T2p0zqdrTz8L4HB3quGCoh4BIpKKkrMZU1ZitIGfMCMj1QkCVrJHtc9jC5rN7iBwWjSV9i5sh2rVeWY\/dmu8HKndISeAVtp47UF2j9ahefAhU2eCiPTiP8A8qT9z9WS\/fOrFuNs2m8wZOcxjflRQ92ChJ1qrTY8qSDbd1o2ndaRjXSPEbBlzjgJ7oZWvdGWHabxA6EuaUW1dI5PztKdS+dbahvUQVCeDtcFOoN9HVN\/lVRllPc25opO5ZA8Fsq4bVLIP5Ssa7qWJmoEd3pFIn82+STYY0ucTuAC0Nm0TcbiWvmaY2HoxvXzXCUpNI9GZJambAJOAMlSqe119SQIqZ5z0kYXqNr0DRUjWl0Ic4dJGVewWKnhAAiaMdi7Rw6\/mZlyb2PLrboiuqSDOCAegBbC16BjjaMxb+5bSlo4Y8eaFaxOgiblxaF2UYw2RLZtzKwaPhjaMxgexOk0\/DGPRHgtDVXWkiBAcCs\/cL\/HvDXALSuRpIr6m3wxZ3AKCTA04yuNfeWuz5\/3qlfdo9o+etWMNmEQhC+WekEIQgBHQEI6FUBW+kFtbac0jO5YkcVtLUc0bD2L14fmca3Imt4rQaPvTbRUzB1E6oMjcBrW5Kz7eKn2e7TWar8rhibIS3ZLXL1nNOzN5Q6onbsmk05M9m8Y2QN66U2prq\/nY6fTcm048TgYWZptf3SkOYqWHiTvz0oOv70XOc2KJpecnAKWOikjQ1V61D74UczbDsOBLA1x9InqVi+9axfVNDbGxgcNwL1i5Nd3yWSCSRsJ8nyWAg8eviusnKLqSSRkjnQ5j4eaf1UsMyNbV1utq2lmpn2iHBafO2uC8vljkhmfDK3ZexxDh1FaCTlD1Q9xd5SwZGMBm5Z6WWWeV08ztp73Fzj1lWxibUthjiOaORnzk3aHqhKf2TvpJo6EMi7Q9UJNrsHgg46EioHvd53AcEgc7qHgh3EdwSoQQuf0lKHOI49KCMhIFEB2XesUhLuhxQhUIQOdniUozjifFJjBylHBQMTDnODWgkk4AHSVbTWaKPSsF925OedXyUj2HgGhjXA9+drwUG2SCK5UkpPoTxu8HBepag0Nc5uS2\/6njnpRSUWppXbG07nNnLoyMbOM5c3p4ZXnr1VTcbu12kduDJ0eKuTs\/I8neBtn\/wC9CRK\/c\/vASL0vQ5AVutC2K4tt2qK90TfJxYZsna3+cW7O72FUuj7NQ3r35ZWMc59Lap6uAh2MSRgOyevdncvXbNQw+9lZSU0LY2V+lqdxDWgDjJk+0tXjxNTRwW\/9s3RpLFTdHnZvyVz5+bwT8fcrXUGnZ9Pi3Pk5wx3GhhrGOczZHntyQOvB3KrXojJTSlHZmWmnZkujoJrlWClgcA8sLt\/Y3P5KG3eMq+0kC7UdMGgkOZID\/duVC30QtRdzrKCVKM+bb+lvyKjp9gQlPR3LRxEQhCAc\/gw9bfzKaU5\/Bn0fzKI45JpGwxRue+RwY1rRkuJ3ADtQc7HtvJXyS3GCmZd76YvJL1QxuiYx2SI3OjkDndR9A9\/cq73UEDmcrMlY5uy6spI6kjq2nyfovY9OXK3WLktsVu1NWQWu4VFPC0xVszYJWQsjkaSGOIds7dMxpOPlgdK8W90fqSzam13b6uzXBlaaey0kNVLH6BnJe8hp4OGy9u8bl8mjOdaaqy5OS+SsepKNXAU61vaU6kX8PZa+\/wBTx8cF3pPSf9HP3hcSMEjtXWl9Nw\/l\/ML6iPKTF3gH\/hl0HbCf+crgeCn2SCGrnqqKpfIyKWMF7o2bTgARktb0nqC0RFGuzh8Ww9Y\/Mr2cchemWvZGy6XOpe6COojDJYGGoD2SP5tjSC8OaIyTtgcCMdK8hq6KaHMDGOfzG21xA4BryCfvHisp8zVnsRQRhId6u7JZ43yW+qqNmSOsdUM2C3gWNB9vH7lSAEdBRSTOk6UqcVKXP+n5Os1JLFTRVrsc3NNJE3r2mBhP\/W1cs7sK6raCpNgoojE4S++NSzYIwcmODA+5cJrLO22QPjpHmqFRURzNG84jDcj2b1FNczrLCzb9hPZP0Ks7mZx0pQcK6prbUw2e7Rz07mvYYDwz0np7iqttvr3B2zRTnYALvMO7eB+Lm+IVU0znOhUgldPX8tfY5AgkAJq1FNo671dup2st0kNRHLOZecjLThoZgcOPHCgDR+ppA98dmqXNaXb9jjsnB3KRqRkdKmDrU7ey3dLl1VymUo0jfeptcHHa8oMRHRjZyryDk21pUMZJHZZcSMc\/fuIwCcHqJ6O8KyfyeaqisRo5bd8casPaOcb6Oy5pPHrUc1fQ1Tws7Nzjy0MOnwND5o2OzhzgD3ZWvj5ML+wRPmlpIzkmRrpm4bg7unflT6rk5aamWr+ENsjJkDmsMoxjJzvz0biq59CRwk0rytpbS6\/Jh7nTCiuVTSMzswyuYM9QKjL0G6aEoa+7VFdJqq2xRSyF5aH5OM\/pkqPT6N0hTVQlq9b0L42OOY9kkuHQmbQVMOuJKzSjfqtrmYFmdJDHIyQ5NK6pO7q6FW78L1KmtWlZWf0K+meKOnkpSY4XHc7pVVLYNAW9sYuVzq2uezAPMuGd+c8OrcsxlLmjpXo0HbhzX1939TFTUUkBj2jtc7GHjHRlXVktk1OKiOpYMSxRvA7NpaqnqtA1MsdJRzVM8mw2NrRERkDeOKsqwWWlhfVVFvrS2OLZcQ0DDQc9ajzSR6KKwtCedTv8n0MTbKCWGvumYiI3wTsbu49KoaCiZVCbaJzHEXjHWFvn660i3Oza6t5OeOBxGD0qzt7rRNSRVlBY4Qws2QHPAIHUVtZkjFWphZOKT0TfLqeWQW+rna5zInYawvyRxAVpBp58jaKTmnAS\/tc9G8LTVevqG3VD6Uadh2onEHzhj8FOs2tRenPYy30tOWEbnO3nu3I8xypvCQ3Tf\/pk6LStQ6rdKxpDY6gtA\/lCvG6Weys50Rk86\/ZO7gpF61xcLQ5vk8NG\/bJzjfhQaLlKutXWRQ1Yp4InHDnNbwWXCT1uemnjcLR2g97nSyaQo4LrHU3eJzoBK9rmlu7G\/C6X7Tdmt1lkrKE7Msj5AW7\/AEcnCl3XVLWUUz6S7RSTN9FuyDkqjirb\/fYTFXuY2J3yWt3rpH2dzwV506kv4cbGHqGF8L2taSSOAVPatI3G6T45pzGZ4kb167bNMUsIOYwSesK8tlopoHebGBv6lmTucYwaMdp7k6paMNe6Haf1lbGmsUdOwBsYGOxaSnpYmtG4LhcainpIy5zhnqWLHVRsUc9PHCDnAVFcLtR0pIMoyFG1JfppC5sTtlvYvP7nVzSOcS4laUTnKdtjW1OsaaLIY5VNXrjOQJFi6iRxzvKhvORxWsqRyztmnqtYPfnziVV1Go5pM46VSuyExYcrG1G+5PluU0vFxXDyl3rFRieopNrtWXM0qaOSEIXzjuCEIQAjo9qEdC1EAOK2NmOaJncsctdYjmib3L1YbdnGtsWQ4p44pg4p69ZyLC1Wa6Xp8kdso31DoWGR4aPRaOlRCC0lrhgg4IUm2Xq5Wd0rrbWSU5mYY3lhxtNPQonOZJLiSScqgchN22o22qWBc0GlrjcLHWaghlgbT0RDXtc8Bxz1BU43hKKmVsToWyvEbt7mhxwe8Jm2OpUAf2b+8JnQO5PGCx5PYm+bgbyoDQ6dstFc9P6irahhM9vp4pYCDjBMmD37lnRwW00BsyWrVVPvO3anPx9FwKzVjtUl9ukFqpnBkk5IaXHduGfyXCE8rnmei\/BxjO0p5novwQnfJ7kqfPGIZDE4HLCWnf0grnlvq\/eu9zruKmhGR6qXa4+aELYVCTa\/lHglLsbsBCWAHeAkyOGUBxB6EFxzxULYGOLHteOLSCF9d6T0W\/W3I9rTSvlQpZKnUFS+ORzchuzIx3DtyvCORbRt0veu9M3Cs09NWWOW6xQTyPhJheNobTSeB4hfUWi7tU0+r9QaMhjjbSwNdUgtZgumdVAOyenzdlfE7XxP8KSg9Y2l5S\/ofV7NnCrCphpbtxfnmX2Ph+qhdBUOgdxj8094XItcBwWq1JZHwR3GXyV4liuL487JzsZP3Ku0hpqTVGrbZpaWc0rrjVMpS9zd8ZccZwvscVZXJ7I+fUoypuKfNXPTeRHRdmuWjNW6yrpqszW6nnoXQRbOHQy0c7i7f05jGOhbXk+1lpaWTTFJb7PU85V0HkgkqHseNiGRx2XADeTzi29m0XbNHcntTaaGIRy3PSFFXVZxjnJzDVNc7Hc5oXgPJfWwNuui6cTMMjKurY9u0MtBLSMjozgr5OEqrFV51E20pK3wy6\/U+l2E3hu16Um9bxXylo\/NM2vumqZsultGzxQMY1lC3c1uA0HI\/wC1fPGwfWb4r7W1JYKDU+mLNBXQNlabZNFHkcHfHtB\/5gfYF8vaP5Mr5qaG7VMNrmmpqOOaOOoa4BonZsHZI4nc4faC9mHqRp0tXonb6s79s4SccmI5SVv+NvyWHJtYqwwz3N4YYJo2Mbg5OQ4g\/iF51I0RyPjLt7XEcO1fQ9k0nV8n+lea1HdbbbaqnkDz5VtmM5cCG7m5J3EYwo3KRo+03DQMWpLHY7ZSvmpqW4VUkTC3ORsnYHa45IXSlWUmdq3ZcpU44eGkow4jT98U\/sfP+48HBdDE\/mufEbzG3DS8N3A9WVN1TTR0ep7tTQxiOOKtmYxo4BoeQB4L1+m0G20+5z1Dep3xTPrqqgqYHbHnxtB84dx2sexaxGIVBR97S82fDeGmpTitcm\/nY8P809J8EYb6x8EjeCVd2eccS3Yad\/EhabTksVNp6vuPMB0lDX0MrXdPpO3A9GdlZkj4tp\/mP5L0TR1cbNoStqamnijjqLrSc3LNCCHtBcHYJGCBk9y51HpY9eCpqpVs3bR+hr\/dVQllz0nM3ZDTZ+awDnZLZCSP+ZeOXo\/02F2M7VJS7+6Fg\/JejcvOr49Ss0zThjZXUtFJI6rEm1z5c4NPDdgGM8OteUl73lpe4nAAGTwA6F5OzaUqeFjGWlr+uh5acslKVJ9b\/V\/k4O\/aOPaV0pv2+Otp\/Bc37pHDtynwbpgexw+4r3kJZO5XGjqy0UOoWzXyeSGkLCHPjaXOB3YwBv6FTdGEyXG17Aq1fQLQ3nKJqHSFRNR1eibjd5amKaV0tRWSvMmzgbGCcY+Vw61Fku2nrXZ7V5TpmpeKyjklDhXBvOBzjE8kbJLfOhcQOjPasVjtSvfI8NY55IYNloJ3AZzgdW8k+1TLokbhVlCWaOjNx\/rGtDW07I9FU2KUERbVQfNy0NPBo4gDK5O5RbdzLoGaCs2w9rWu2zIchudngR1lYsDCVFCK2R2eNxElZzdvier02pIbtRwVbqHTkJc\/n3h8TyY3lrvO3v4\/Ftb7QqS9coN5tddzFHFZZCMymSOjafPf6XEnj96waaSUUIrkYeJqv+Z+bN3auUW8V9S+mvFfS01M+NxyyjjwXgebkYVjeNZsZa6iS3aslfWBrNhrYGNDjlu18nqH3DqXmZyN6MplRl1qj3k\/Nl7LrzWMww\/UVZjqD8fgtFRa4tD7fELpXXd1W1jQ8tndsuIO\/p6VgQU08Vrcxmb3Lm93+oqbjNJbLlXspXEbDXzuJAx3pbFf\/IKt09z5+siLC3ZMpyD0HeqVBQhpr\/qe1XajNPR2YU0hcHc7tZOBlZrieKRKHdibi5qI9d1ETGMbbKXzQNokekQ3GfuWbqZTUVElQWtaZHlxDeAymYB3o3IRst7Hqm56fhkhohEWyu2jttzgrhdr7cL2Y3Vz2OMednDcYyq84QB1AoL3OlPNLSTNqIJCyRhy1w6Cp1RqW91kb4qi4SPZIMOG4AhV2HdDXeCUMeeEbvBAN711bW1jGCKOqmawHIaHkAJvNS9DCgQycdjCBaDXOdIS57iXHeSTkoBcze1xB7Cnc0\/px4o5o+s0e1BqcztOOXEnvStYZHBjBkldBAXEND25K0VlsbARJI4EnsQJNjLNYwCJJG5ceta6io2xNAwimpY42gArlcrtT2yIue7zsbgsNnZKxZMdHFkuIGFHN6pKZxL5mj2rzTUGuKt5c2GQtHYVjarUdwlcSZ3eKlupnPrZHutTrmliaWQyDPXlZy46q8pJzJn2ryI3ys6ZCfansvlQfSeVFYNz6G5q7gJid\/FUtYGvBKqo7u53Ert5cHjjlbRzb6kOqbjKgvOFPqHB+VAlSRI7nEnKaShxwmE5XByPSkKT0JqELk5GrDUIQvKaBCEIAR0IR0FWIBavT5zRhZRajTrs0uF6sPuzlV2LgcU5NHFOXsRxQIQhUAhCEAIQjI60Fx7N7HjsTOAC0dj0Jqm+xwy0NseYqpj3RSOwGuDeO9WVFyT6qlrIIq2iEcDpGCR4eDhpKynmTaO9LC1q9nTi2m7X5Gm5JuT++V9nuV4Y6nFPd7XWUtMxzyHukaBvxjGFM5MeR7Udu1lR1V6o2imY1z2SMk3B2ycf\/e1esaY0q3S9jsdvheXxU0tc0FxycOAwpVvq4mTWqUyNAZEd+10AL4s5zxGHrzi7NZl5XSPqfsEKlGvnk4zjo7W5Jfk+X9faQuulLps3KAxiqklezdww87vw8VmMDrX07ywabj1F5C+PmZhBUTB4LxuBaSPvwvApNB6kifjySM5DnDEreA49K+u5xgkm+S+qOHaPZzwc1w9YvZ\/JN+pniMBHWrT4NXc1Ipeaj2zwPONwd2eKnWvSBq4Z5bhcoKMsawxtc4Hby4A8OGBvSVSMFds+e6U4u0lYzox0pSHYDiCAeB616hbdG8nVuuMU1x1A2shZKGPiLsBzS3e7I38VMmouS6q0pbbZXXSrbNQc9MBC3znOkcwlpOOAw7C5SxCT0TfyPTPBTpqTlKPs\/wCpa\/DqeSshkkyWRucGjaJAzgdfctVR8md8raplJFNT87JRsrWjJxzbg47zjiA1b2W7cj0NPFTQwXOWOOn8kO4BzozIXHJwN+Mb1oP9a\/JjSRyttumLm2dtPDTQSucwkRs2gQd\/UVh1aspwyx0e56qOCw8K9JVqsXCTWaz2XO5t+S63VVm5KNOUjpNme26nnjc9hIy7YJB8cLDXLXN309ym6wgpq4Ma+3VNTAHNBAl5psoO\/j6IXak5ftP260NtUVirXRi+su+1tMHxYZsuZjPH7l5DrLUVPqjUk9+bFJTieKGNzNsZ8yJrHb+o7OfavBTwbdSqqkdG35Np\/k4znHDNwoPaUrPqr3TPWrlc5bpyYUF6qNl9RPM0zODQMky5Kj2DSNFUcsNw1PJUSxy2zU9AIYmABj2yyna2t2c7hjHasJS8ozItKR6TmtjZaeOQSiTntl2Qc44HcrCTlnqorhVXOjsdJDNV1tNXP+MLvjITlvRwO\/K9tejUqyioOysk37rq68rno7QxFHG4yhWzaRhGMut1qz2f3RHKLW8nc9igobfDUx3jTMdG7nHFuxgvw4Y47ivljTV7l0\/d6W9xxNkfSSiQMccB3YtXym8qtz5VDaHX+lpYTZqUUkHk+0C5g4bWc5KxWKbcA0YHWTvXHsrBywmGUKi9vW\/m7fSx8viyjWVaGkk7p\/B6eR9n6Rusl90BpS7yRCPn2HDRvA\/pTQR2\/tcKByB2CvptF1zKmlLGXa5TyU+cHbjkDGhwx2wP+wV87Wfll1pYrJRaet1whZRUBJgZ5O1xb8YyTid586Jp8etdrdy5co1npKWgtOopKSnonbcDGU0R2HfGb94Od80nH1uwYziMFVq0ZUo2u3f6tn36\/a9CtgoUWnni730trv6aHqvujA+t07XVsoONujkb2bbGu\/Mp7SbhyI0sLWF2xYIMuHQWySbvBi8LvPKFqi\/U0lHd7zNVQytja5j42YIj9Do6FGp9b6kpqIWynu1aykDOa5ls2GbG\/wA3ZxjHnO3dpXqoYaVKMU3sVdt0ljXicrs6ag+vhUfI2WkNAv5QeVmWCSOOWihqIq+sieXDnoHSx7bARwJDyejcD04Xs2pLS2h9z5erPENt1JS83sjeSWTPA7z5q+YotS3yGV01HWXCGR7Qxz4Z3MLmjGAS0DI80eASv1FqWRpj8tujmk5IdPIQTknf7SfFc6+EqVqkZKWitp8D5bxlPiVZpP283yu015ECksF1qqaqqmUxayjjbLIJPNdhxwMA7zv6lNt+jb9cKeeoFvqY9iF0kIMJzM5skbCwdR+MB9namurL9VZa9lXJtAA7RkOQOHSg0WoJsudbZ3E8SQ458Svdlm9vQ8kZUYu8lf5mw0FoCguNlvj9URyUtTA+njpWuBDsGXErhjccBpHBa3lRodK0vJTT6U0tc2VUtsrnPjikmjMpjfI47XmnfuxncMZC8djpboNtopHMeDjGP1SmivHTS\/8AI1cHRbmpuT0d7HajXp0IySi25K177fK33JeoIzUWrTcUb4zJDbnslbzjQWO8pmIB37js7JweghUgo5yMgxf3rR+aneR3H5bImZ9bYC60tkvdXVSUcEL+dYwSbO1jLTjBHXnI4LullVjxWK6sp6VtG1zd9UZiHAEkbGyMdnFRoYpecaeafjPUVoKzTF\/o6d9RVRhjWM5wgyjIHdntVNEcyNJJ9IKpG5SzcrChMlwHg\/yp44Ic94DQ17h3FaMnIb+AJ9iURyHhG4\/VKfzknTI8\/WKQkniSe9CWE5mb5l\/2UvMyeqB3uASYCEIPZSySPbHtxN2iBl0jQB3nK9SZ7np4iZLW8tnJRS7bQ4sdqUSOb2ERxu3ryrik2ViSk\/C7HKtTqztw55flc9Z\/1IaMpm5uPuiuT5mOIpX1dQfuhGUDkr5E4B\/TvdKW4npbS6arpvvIaF5NspQMLPDnzl6HDu9Z71n8lH8M9YGifc30v+08tt\/rcfwul3R5\/vJEe9XuWac4m1Pyk1uOmC30cQP2nleTpR3LPBfOT\/v5Duk3vVl9PsketNqvcp0voWXlKrcfPVNHED9lPGrPcx0w+I5INTVhHA1N\/LM\/YC8j2HHgw+CUQzO9GJ59ivAXNvzJ+3xfinN\/7n9rHrf+svkJpv8AYfc+Md1Gpv8AM\/8A7Vmtca90dqS3xUOneSy0adfHJtungmfLI8Y9Ek43LEOY9h2XtLT1FDGOkeI2gFzuGUjQhF3182WngKNKSks111lJ+rF5xo4Qx+CXnnDgxg+qujKCpe0uwABniU9tsqCAdpu\/tXfU9upw56Ts9gCb5RL0P+5SveyQtJMjd3QlFrbuDpwFUVEPnpT8spOckPy3eKmi304JD6jGEjKSj37c+8HrRghFzjxcfFJ3lT5ae3NicY5yXgbt6gKMAhCtdPupBNMyrhEjZIy1uW5wVAJZreZpBK8bhwWzoacMaAAq+3UrYWAAK151kEZe44wFhs6RVha+tioKd0jnDONy8y1Jfn1EjiX\/AHqfqrUBle5rX+aNy8\/rq10riSUWiuzE23ojnV1TpHEkqC9+eCHvJKYuM6h1hCwIRkBGQvPmZ0sOa9zTxXdlSR0qNkdaF0jVaMygmTefyN5XN7w5Rw4jpS7Z6V14qZhU7Mc\/guaUnKRcpSOiQJMhBPQkXJmgQhC4gEIQgBHWhA6VqO4BaXTZzAR2rNLR6aPxbgvRh\/EcqvhL5oy4DK6iAeuVxGcrQ6S0xJqm4OoWVAh2WbRdjK+hSpTrzVOmrtnmlONOLnLZFLzDOmQpeZi6X\/evUY+RWHjJennuYpMfIvawPjLpO7uAC+qv0\/j3\/KvNHifamFX830PJeah6Xfel5um45HivYouRzToPxlXUu9oV9R8iWi5II3u8oc5wOcybty6f4exi8Vl8zD7Ww62v5Hz\/ALNN2JcQdDQfYvoe28j2hHvdz9G7DSOMpyVbjkm5NoDj3uhcG5O06Tcdx3ce5V\/p7ERdpSX1Mrtei9UmeAUOutQW6ip7fR3KaKClDhExvBodxSO1xqN42TdKnG7dtdS+h26C5MqY7rTbuHy3dneotwsugKPm\/IaS1MAHnZ2Nx9qsP03JaOol8ja7ddNZaalb4ngTtZaola1hu1c4NJIHOu3E8Vw99dQzABstaQOGHP3L3Z1RpCm4T2mPHU5gXN2pdIU+43e2t7pGLrH9N0IeKvFfJfkw+2a09VBu\/vZ4tR0mtbvIYaGhutXJ6RbHHI89+5WkXJzyp1Q+K0be3Z\/\/ABZB+K+j+Rnla5NNNaknqL3qi200L6ctD3uGM5XsNR7qbkGo8511Rvx81DI\/8Gr892jSjg67o0pZ1pqfA7R\/UvamHrcKhhHJdfa\/B8NRci3LBU749B3Y98OPxVhT+545bKgAx6Crxk43ho\/NfYFT7sfkIp87GpaqbHzVvmP4tCgSe7l5GKTfD79VODkBtFs7\/a4Lw8Wo+R44fqH9QVXpg2vlL8o+YKb3LnLvUuDWaKqGl3DalYPzVlTe5B5d6ogHTsUWd45ypaF77N\/pAuTSCTnaTTGoJHNBaPiomjB75FV1n+kO005jWUmgbm7Z4F88bM4x1E9QVz1en0N\/uf6mn4KCT+H5keV0vuJOW2oOJae2xdjqrP5K0pvcI8qUrdusu1sp25xxc\/8ABa6o\/wBIlMP9k5OnbuBfcAOnPzZ6VVVP+kQ1cWltFoSijHEc5WF\/4MCqlWIsR+ram0Ir\/j\/2Zwp\/cBasdg1WtaKIHjs0zj+asYPcAyjHlXKE3t2KT9Ss\/V\/6QXlTqGuZHp2xsYeh4ld+DgqWq93PyxT55mjsMH0KVx\/6nFLVm\/8Aw5yo\/rGo9KkUv9v2TNVrr3GFn0RpCv1K7WVXVvo2BwiEDWh2XAfmvEhoW0DjJO762Fe6p91jyv6vs9TYrpcaAUdW3ZlZFRMaSM544yOC80fq\/UL\/APeBHcxo\/JfTwVShTptYiN3c\/Rdk4ftenRa7QqKU77rp5I2I0RYQfOhmP9oV0Zo+wM4Ujj3vJWEdqa\/P43OcdzsLmb5en+ldKn+8K9nesJHakfU4VZ7yPRG6ZsTP92xn6WSugsdlZwtlOPqrzJ1yub\/Tr53d8hXJ1TUv9KokPe8p36itqS\/v5Du9R7zPVBRWiL92pW97Wpeds8e4uoW9+wvKC+U8XuPtSHaPEnxT9zitqaL3Z85Hqpudki\/fKNvc5v5JDqKyRf7zhHcV5VslGCo+1Z8ood1j\/mZ6k\/V1ibxurT3Bx\/JcHa0sA4VTndzCvNNnrSgEKfutZ7JDukOrJFfUeVVtRO1ziySV725PQSSFHwEqF85u7uepKysJhTIrxdICww18zDFHzTC12Nlmc48SoiFmxTvLX105cZ6yaQuGDtSE5HUuTHBpB6imo6FdgdSMEjqOE1\/yfanPOJX\/AEj+Ka7gD1FAbbk45P7Vrltd5dqiK2SUTDMY3Ql55poy6Q7\/AEQsTIGslcxj9tocQHYxkdasLJqG5aelq5bbK1jq2jloZtpodtRSDDhv4d6rAOkIveQto7NE4AyVzW5aHHIxjPQq6eMQzvia7aa04B603J6SkQMEIyOtCEBPhfExxMjdoEY7imIwB0IEWHvjSAOa2kG\/gUsl3icAGUjG4OdyrgxzuDCfYn+TVDt4p5CPolauVEw3h2SW07ASMZ\/+96R15qHbg1o35UZtHVFwaKd+SMgELo22Vz84g+8KXKcp531MhkkxnGNyYHOa4ObxHBPmpZqYgSgDI6CmNbtPazONogZKhkcaio4c47Cbz83zrvFSxbnZcHTN804Si3wkAmo71o0QjJIeL3eKTad6x8VNFFSDa2qjhw3hOFPbRjanz9ZNQV\/HpQrHm7U0kF+R0bymtdbWk5btb925SxLkBCsHVNuDC1sBJPThV6hUOjiklOI43PPU0ZV\/ZrXM1vPPhcB1kJ2jrs61zSkUkcwk6XDgtX77OmiczydjQ7qHBRtGoq5EgaGDf0Ki1RehTROhY\/eRvVncK1lJTukJAwF5bqK7vqp3ed09aytdSydlYrrpXunkccqnkeSeKfNIXEnK4HK5VJmqcbagkJwgnoSLyt3OwIQhQAhCEAu0UmShCAXa7EmSUIQAhCFGAQhC5gEIQgBA6e5CB0qx3ALQaZO54WfV7pk+e4L0UPGc6vhNI1XGntQ1um601tCGl5bskO4EKnHf0J+QAvoU6kqUlODs0eWcYzi4yV0bd\/K3qg52GwN+qo8nKnq5\/Cpib3MWRykz2L1vtPGS3qPzOCwdBbQRp38o+r5P95lv0WhcH6+1i8Y9\/wCqaOpr8KgQuUsZiJeKb82bWHoraK8i1fqvU0hy++1p6\/jiuEl8vUv7S7Vju+Z36qChc3WnLeT8zahBbI7PrayT06uZ3fISuZkkd6T3HvKQMeeDSe4J4p6h3o08h7mlYvc0czv4owFYR2G6y0wq20p5s5xnicdi5C03I8KOT27lNCpNETA6kmyFPFluPyoWt+lI0fml95qr5UtO3vmapdDUriCjBViy04mjZPXUzGOcA5wkzsjrXSstduiqpI6a9QPhB81xDskeCt0VXKrB4JQOtTxQ28eneGfVicUeTWhvG5SO7oD+qXGpAIJQBjip2xZWEOM9VIARkbAGQpdwq9MTbIobZVQtb0mUEnvUzIWKdCmie1D9wld9KXH4I8stw9G0t9szircEJLsu2drZOM4zjdlTffClHo2qn9pJVjS1d5ltE0VHZqd9E6ZrnEQ7WHgYHTnpUzFsUGUuSp4uNa1xYykhY5pxgQjIXZtdqFw+Likx\/LTD\/Crczoysa2R3osce4LrT2+uq546anpJXySODWjZO8ngppn1G7i2ob\/ZbP5JYor\/NMyN9XLCHOA2nz7Ib2neo2VJESS2XGGZ9PJRSiSNxY4bJ3EHenttFzf6FDKfYpddbbtBVSQe+LahrcfGCpGHZGfWUV1BIf29bTt+lLn8MqXuGkL7y3T5VG9v0iAukNiqJJWsqKukpmOOC+SYeb24G9cPIIwf\/ANypMdjnH8khpKMA7dyZ9WMlHcEmsssdPOY4b1b5ox8tsw\/DiuQoKIbpL1TNPYx7vwC6VEGm\/I4G09bUtqRnn3Oiy09WBncozW2hnpTVMn0Whv4ortBpHbyO2Dje4nfRgk\/NoT4ItOxTNdWVlbNED5zYYg0nuLj+Sj7Vm6GVvtcz9F0p6y20tRHM23c+GODi2Z+53YcKvYI6VXwadO59HLcmRE+aySKMkdhIdv8ABcxLZWf1FXL3vaz8ipN3ulLU1DZJtMx0ZDAGsY57AR14PHvUAXCFv7O3QD6QLvzUT0D0Z28psv8AwqqP\/vB\/\/WpVBV0glcLdpw1Mhjc0skfzuARjIGzuO8b1A98sndQUf91\/mrewT6nqK3Y07CIagsJ2omBnm5HSe3HhnoR7BalG703du9B9D2rpVQy09VLBO3EsZ2HjqcNx+9c+LT3rYPTOQjkutHKdeblDfK2ripbZTMmdDRtBnmL37I2c9A4ncsjyhaXj0Tre96TgrhWR2uskp2TgY22g7sjoONxHWCqy0X28aerBcLJc6ihqQ0t52B5a7ZPEbuhRJZpqqaSpqZXyyyuL3ve4lznE5JJPElcoxmqjk3p0PHClWjiZVJTvBpWXR\/36+4n00FqMTH1E7w4jzgD\/AJLpixtf522WhueJ3nqVUQkAyu2h6ydWSW58OxSxbL9vIO\/0d\/X7FDQhQgJ9PPzLy7YDsgjB7UxAaS4Na3JPAIVE732mDdkMb1Jpu1TsbADcYxwXFlHUvAc2Lcd43roLdVFu1sADvV1GoG51mQ4OAIzggb1zNwrN+J3DPUuvvZU5aDs+d2p\/vRITvmYE1BDknmmIMshdjrTCCpFVSeS7PxgftdXQuI470A0l3S4n2pCp3k9GJCHT5aAMb0oZbW5Dnk9SpSvSqcDbWuOQSMJwntzQMQk+xLAr0YJ6FYGsogfMpt3cmeXxNcXNpxvUsCGGPPBh8ENaXODQN5U\/30djDYGhOtlK6eYzObuJyo7Iha2eiEUYJG8q6GyxhPBcKdgYAAod7uLaKlec78blzbudVojNavvWC6BjtwXntVMZHE54qwvFe6omc4uJ3qmkdlSbyozFZndjXHJTCcJU1eSUrs9CVgQhCwUEIQgBCEIAQhCAEIQgBCELIBCELABCEIAQOKEDiqtwCutNnErgqVW+nTipI7F3o+M51PCakHerSyVlFRVnPV9J5RHs42O1VY4qystcLfXtqHUYqcNI5s78r3HnW5Pv11tFwiYy32vyVzTku3bwucV0BoW0TbMyYgYLwDk+AXfUF6FygZGLO2kDTkOAS228XqGiENHbWyMaMCTZKy2b3K2SshgeY32eJjh0PLs\/ime+bB6NtpB9Qn8SutTd6ueZz56KnMmcEmLJXMXCv+RTxt+jCP0VMh77Tj9nTU7e6EJ7bpcz+zwPoxD9ECsvR9DnB9GMD8kpk1BJ8qq9hIQDvKr9J6PlP1WH9EFmoH8W1ntyEwwXt\/pvqPrSH9Vzdb7g703t+tKP1Qtyxt9lr7hBLJPcvJxFnZbI\/wBI4zjioRtteDiSeFv0qln6rtarNQVbphcbvFS82Mt4O2iuDLfRGn5z30iEhdjYIO4daAQ26T5dfSD+3B\/BJ5BCPSudKO7bP\/akNJRj07kz6rHH8kcxbRxr3u7oj+ZQh0ho7WJWCqunxeRtmKJxIHZnCdWx6fdVPNFV1TYfkgwgnxLgmRe80U0b5TUTMa4FzNkDaHVxXW41lhqajnKS2zwMwBsh4Ge3pRLUHDFobxmq3fUa38yk2rSOENW7vkaP+1Jz1t6KCU98\/wD\/AJSiqom+jbGH6Ujj+GFbAa6a3AYZRS\/Wmz+AU6ovLZaCnpn6fpmRRZ2JcPBf3kEZUM10OMNtlKO3zz\/3KxqK3UMlppzNRxGhh3Q5hBAz3rJSu98Ix6NspR7HH8Sj3zlA82kpB\/7dp\/EJ7a25n9nTxj6NKz\/CntqL+fQM7PoM2fwC0Q5C51jtzIoQf5IGj8Aru00uuKy2VFXapKhtJG4iXZkDPOAB4ZyejgFVk6meN89bj\/1XAfipNps1TdHyR1t5bRiMtzz0vpZzw39n3qMqI7otUSDz4rhj+Zrh+K5mhvRPxri3\/wBSoa38XJRaG+SumdcqQTCXYMJlAOzjO1nv3LkLfGPTuFM3uftfgqiHQ22v+VVUo766I\/8AcmG34e0VFxpWAneed28D6uUeRUQ9K7weyOQ\/kg01uZgm4F\/WGRO\/PCjYR3r7dZ4qksoL\/BNDgEOfHKHZxvB8zHFRxTW1p+Mubj\/6cBd+JC61x09JUOdRurYocANaY2uPAZOS7pOSuAdaGbsVcnfss\/VFsVjzFZxwr6w\/+1aP\/wCRIRZ2jc6sk9jWfqk8otI4W+p9tSP8CQ1lCB8XbQfpyk\/hhUhNluOnX2qCgZYZm1MT3OfVCqG1IDwBGx0KD5TQNPmW0O\/9SVx\/DCva3U1zrLG2N+lbVHQNc1vPRUbmFzhwy8O3niqRlfUnfT0FOwfywB\/\/AFZUi9CyAVtIOFnpv7yU\/wDelNywCIqCkZ\/ZbX\/VlOFXdTwo4weyhjH\/AGro12pJWkReUtB6IxsDwGFbkJt\/u2py+nF\/poC8R7MPO0sRcGg8OGRg9BUCKovc5\/okEv8AYQY\/6QrC40es6PmWzXKslEsYeObq3ODew78Z\/wAlXSUd3mP9LrP76pH5lSOxWdy3VwG+K6AdrHgfgulHR3epq44664GjY7OZZpmt2Nx6C4Hs9qgi0y9NZRf\/ACWH81Lt1stHlkbLveo4aY55x0LHSOA2TjGBv34HtVlsEQ62NsNZLC2dswjc5glach+CRtAgnIOM8Vy+Q72KRc20DK6Rtqlkko8nmXSDzizJxncN\/sCj\/JcFrkRm\/wCQfSumtZcoUNj1RGyeF9JPJS0j6jmG1lU1uY4S\/ds7Rzv7Fz5dNKab0VymXTT2lHgUMDIHGET8\/wCTSuia6SHnPlbLiR93QsEB0pADleNYaaxXeOI8trZeXx\/tfM78aHA4OVXvfNz+BOop6GFg8qpuccHZO7O7xXCpfBLMX08fNsI3N6lxxnhlBY9oyWkDhvC9tzzioQhQgJWuLHh7TvachIgAkho4k4QI7eWVAAAfwAHBBrKnGBK5dorbLKM84xuMjeepPFrAaHvqWgHqCupdSKamoOMzP3b+KYZJDxkcfappt8DQ7NUN2UvklAAc1Oeo5CajUrySeJJQrAxWtoGZC49O9Q6jmudPMeh0KCxzwEYCEIWwIQhBYEIQhLD4YnTSBjelaa30zYYxgb1U22AN893Eq7jkDRxWJM3FEp0giYXE8F5\/q28mWR0bHbhuV\/qG8NpKYta7znBeaXCqdPI5xOcqLTUSd9ERJ5dpxKjk5KV5yUwnoXnqSudoxsgJykQhcDYIQhACEIQAhCEAIQhACEIQAhCFlgEIQsAEIQgBA4oQqtwB4q00+f6XjsVWeKsrCcVo7l2peNGJ+E1+OCn2eoqaWvimpIBNLvDWEZyoI4KbaZK2KvgdbwDUZIYD1r3nmRcagr7zWUrRX21sMYO5wbhcrRU6idSGntzW803jkDKk374WOoDJdGs8nJ37OFX2eK+VTJGW2csDd7htYWXub2I7qu7F58x21nfiNKJL47hz\/hhDor45xBE5Od+9IaG7u9PaH0pAPzVMimK+O9J0w734SGkuZ9OfH0ph+qabbWf1lRC36U4\/VN97iPTuFIP7XP4BAKbfUHe+sgHfKkNvjHp3CnHc4lHkVKPTukP1WuP5INJbh6Vxc76MJ\/MoUl2ym06GSi7VUm3n4sxcFwZFZhA\/aqJ+d2hs4ZkYXe2VGnKN7zcaWerBxs4Abj71G52zZceYqd5yBttAA8EWoG7NsHGWd31QEvOWof1VQ7vcAl8otI4UErvpTfoEGsoB6FqZ9aRx\/NUgx89v2fi6R+1\/M9SrhdYap8bnWeKHYjDWgZGR19qjGujIxHbqcHowCfzU24XK8ScyaygiZhgawmnG9o71CkIV0TRltBB7QSnC4y\/1dJTjujStrrmf2cLR9GEfougqL8\/hz4HY3CpBnllzfujpwPowD9FY81qma0eUGeTydjw1sWMHPYMKvf79P9OaQfSkA\/NdXWx3kZnlvkAlO\/mOcyfHOFkqGCK\/u+XO3vk2fzSOo7u79rU4+lUD9VH8lcfTrofa8n8AjyWH5VfF7GvP5LVyHQ22Z37Stpx9KXKm2q1WOR723m9Nga3GwYhtZ45zu7lXeT0gO+scfoxE\/iQpFI6zwOe6qhnqctwwbmAO6zvOVGVCNpLWGOMl0IduwGwk5+9N5m1t\/fZXd0WPzTM24cIKg\/2jR\/2pRJQj0aN5+lL+gCEHYs44mrd3bISOktIHmwVLvpOA\/BIZ6f5Nvi9r3H80nlAHo0kA+rn8UBLrrpaqp0To7AyIMiawhszhtEfK7yo3ldG30LXH9Z7nJ8lxqJdnbZB5jQ1vxLdw8Ezy6rb6Emz9FoCKyKxRXjgy2UftjJP4ro2qrnD4m2RD6FPlS7lbNT22EzXFskLAGHzpWkkOLgCADnGWO39naFUummf6Urz7VSF06r1fHaRG6ZzKFz9psBDcbR6dkhV\/OXp+\/ni3ue1n4YUMuf0vcfam4yclRKxSd\/4v8u4SNHbU\/oVzfBPIfjbnE4\/zSuP5KbS0OnDRwz1d8lbM8HnIGUziWHJx53A5GOCqenci1IWFXbrNFTxvgvBmmONtvNHDeOcHp6FFEFD\/ABrv7o\/quWyUYGOKqVhc7iOgbxmlf9FgH4ocLcRgCp9uyr+g1Lp2ioaank0bS1M8QHOzSSEmTHZjAVZf7vSXmohno7NT24Rx7Do4BgOOSdo9qze5bEe5VNPW1ZqaWjjpInAYhZ6LevHed\/tUb5Lu5KQQ0ZBG88Ug6R2LfIg0cEqAE\/ZwlypXO9JWNpWPaYQ8uIIJ6E6suT62Pm3QtYM5OOkqOGOduawnuCHxPjcWyMc13URgpmK4tanNCCMBN37+zilzFhyQZKUMPT0LqyLJIJAwEuipDduU\/Ld4pDtni4n2qXHSh2N43rp5DkcVlzRvIyvwepGCpjqMjO5cpIC3oKudEyyI6ErvN4hM5wAjgrdGWhyE0ysB3uaPaubqylZ6U8Y+sFbg7IUR11t7ONXH9pcnX62M\/eAe4EqXQ1LBOjbl47FTu1Nbm8HPP1VIor5T1J2o43+0JmTDutzSQyBjQlnuLYY3Oc7GBlVflxLdzMe1Ud9uchHMtOM8Vm1y30I16ur62Zx2jjoVDM9Pll471Ge7PSsVJpI1Ti92NJ6U1BOULxt3PQCEIUAIQhACEIQAhCEAIQhACEIU5gEIQoAQhCwAQhCAEIQqgB4qfZDiuaoBUy0HFaxdafjRmfhZthvAUi3CodVwtpZNiUuwx3UVGb6ITmOcwhzHEEHII6F7zyo014odQMtzpq25iaIekzKpbdFUzyOip6zyfdkkv2QVwfU1ErdmSeRw6QXHC60NEyrEhfUsi2BkbXShpnapt00QJdc45DngJCVF8l9apj8V1rqSGkkY2GqbMHNyS3oPUo4x0oQ6eTwj0qlvsBRzVMONQfY1MOOlNOOhAdQyiH9bK7uaAlBoh8iU+0BWcd0ssUMQ95w+VrWhzi7cSOJVU97XyPexmy1ziQ3qHUgJtFdIKAudFb4pS7pl87Cjy1cUsrpTRxAvOTvOFwwOpLs56E2B3hkfM\/YgoY3uxnAYSU+WSrg2edpI4tsZbmIDI9qZRVlZbp\/KKN5jfsluQOgpKmsrKwsNTM5+wMNyeAQB5bUje2QNI4YaB+SSSvr5cc5VzOxwy8rl7R4o+sEApqKk8Z5D9Yq5+DM5jMk13o2fFCUB0pyc53d+771SYGN7x4I83pefBAAyjASgs4b0vmdR8UAinUDrO2mn98Y6h0+W8zzZAb25z7FCy31fvRtDoYEB2rXUb6p7qCOSOA42GvOXDdv39647kbR9Vvgjbd2eCAAB2qZa7jNaqk1UEEMriws2ZmbTd\/YoZkd6xSbbvXPigLC5XWtuvMCoiiaKePmmc3GG7s5344lQ9h3UueSeJKXcgH7J6SB7UmP5m+KZuRtNQHWSSSY5mqC8jdlxJTMNHyye4Jm2wbyQmuqqdnGaMd7ggOuyzrd4I8z1XH24UV1zoGelVxD6wXJ18tbeNWz2b1MyLZk7MfqH7SUFvRE3xP6qqfqS1N\/rye5pXF+q7ePREh+qmeK5jLLoXu11NaPZn8UhkePV+wP0Wedq6mHo08h9uFydq7PoUh9rlnix6lyS6GmEkvRI4dxwl5yQ7i9x7ysm7VlSfQpox3krk7VFwPotjHsyo6sS8ORr0rThwWJdqO6u\/rWjuauTr3dXHfWPHcpx4l4cj0e03BtuqvKHQtlGMbLu8H8vDKuH6vfzb44bfRwbYAyxgBG4Lxt1xr3elWS\/aXN1VUu9KolPe8rDnGTu0einVrUo5YSsj2d+ta3Pmy08Q3jDWgblR3K+09VUOqqmri5xw3nIC8xL3u9JxPeUmSkWlqi1K1WqrTldG5mvVuB\/2uM46ioztQW5v9eT3NKx4OEuVvMcMpqzqahbw5w9zU34WUzdzYJD4LLozhMwy2NWNalnoUZPe5K7XdaRhlJEO9xKr7HorWOpYH1Vg0vdLhDH6UlNSvkaPaBhdKvQutaBpdWaTu8LRxL6KQD8FM0eZcsuR1k1rd37msgb9Un81Fl1TeZM\/wBIa3uYFXGirWyc0aScP4bPNnPgtRprki5TNXSsi0\/oq7Ve2QA5tM4N8TuVlKEVd6CMJydlqZuW83OT0qx+\/q3K50\/orlD1g\/Y05p673In+Hhe4fcvrbkN9w3UW2aHU\/K5CPiyHx21vnZ+kvtrk\/lt2mRHbtL6TjpYGANHN04G4exfHxHa9OEstPU+tQ7Iq1I5qmh+NWp9Ba+0eR8K9MXa2B3A1VO9gPtKzuT0lf0C3SwWTXVlks2tdK0dzoKlmxJFUQNduPVkbl5vF7g73LFTbp6NvJxSjn9rz+ccHsJ6jncpT7WTXtxJU7LlF+y0fiEkz2L7O915\/o+9Rcj5qNacmMNXetMZL5qcN256Meze5vavjFzS07JBBG4gr6VKvGvHNBnz6tKVGWWaFaNogDpWrs1KI4W5G9Z2hg5yUOI3ArW0RDWAL1QTSueWbu7EtzQGHcsneJtqodg8FpqyobFA5xPALFVkxllc7PEqydlckVd2ODnElcycpSUi8UpZmelKwIQhZKCEIQAhCEAIQhACEIQAhCEAIQhOYBCELIBCELABCEIAQhGD1KoApVtOKyPvUVd6E7NVGe1dIeNGZbM3MZy0dyeuUThsDuT9oL6B5UO3esj2phkYOJSGaIcXjxS5Tp5vWU4EdRUc1VO3jK3xTXXKkbxmZ4qNoEvLfV+9G1\/KFXuvNC3jO3xXJ2oLe3+u8FMyLYtdo9AHgl2n\/AP0KldqWhHBzj7FzdqulHoxvKjqRXMuVsvtp\/WUhc7pJWdfqxnyadx9q5O1XL8mmHtcsutHqXIzTHPShZR2qaw+jEwe1cn6kuLuDmD2KceA4cjYI3dJWKdfro794x3BcnXa4u41cnisvERLw2brLRxKQyxN3lwHeVgXVtW\/0qmQ\/WK5mWV3pSOPeVO8roXhM3xrKVm908Y+subrtbmelVx\/aWDyTxKFnvL6F4XvNu6\/2tvGqae5cnamtbeEjj3NKxqFO8y6F4SNY7VdAPRZKfqrk7VsHyaWQ95CzCFnvEy8OJonatPyKPxcuTtWVR9GmjHeSqJCnGm+Y4cS4dqi4n0RG32Li7UV1dwnA7mhVqFOJN8y5I9Ca69XR\/Gsk9m5cnXCuf6VXKfrFR0LOaT5lsh7p53elM8\/WKaXOPFxPtSIweopqyghOEch4McfYntpah3CB5+qVpRbJdDYmB5IJxgZXUUhxvfx4YCVlFWA5bTvHsXXyOvIOWOHeV1jDTVGG9dzn5Mwgb8YOzw4nK4yta15DeCleQ1mcudjo9JNNBIPSe1bdNvZEU0t2RUKUKPHF\/wByPJmgb3FFSfMcREVCkGFg61baWtFHdr1DQ1TSY3hxOCRwCcIKaKFC9ki5PNORfuYd9JxP4lSo9G6ei9G2wf3YU4bNZjxFdGwTv9CF7u5pK90jsFph\/Z0UTe5gC7C30TPRgZ4KqmRs8KZbbi\/0KGoP9mVIZYL1J6Nvm9owvbxTUzeETfBAhi6I2+C1kJdni7NKX5\/7k4d5Wz5NeSC5apv0ZuzDFaaRzZa2Qer6gPWV6BabTNd6+G30cIdJK7HDcB0krW6qvtFpi0N0jYC0O41UzeL39K82IqZFkh4mevC0c7zz8K+vuPo7k590Lojk9s1NpewWmhoqKlaI9hsTfOx0lenW33SmgryBDXWu2ytduIfCw5+5fnIwzPdtGR2T05U6nq6+mIdDUvBH8y+XVwkqju5H16eLhDRQP01s105D75M2rdouwumO\/b8ljz+C3FLX6HhY2O3UFLTx+rE1rR9y\/MDTHKdfLHO1slXJsg+svWbPy9VuwxvlLifpLxVcNVjpueyjXoz1WjPv2jdpSrwGwxl3irOm97Kd2KeNrPqBfJHJ\/wAqlxuc0bnykNyOlfR+ltWUldTsbUPYXYG8leVRyuzO8r2unc38FfABhzmkdykNfA\/zo3AFUsfkkzQ6J49hT2h8e9rl1SPKy3qI4KqB9LVwsmikaWvY9uQ4dRC+KPdQ\/wCjq0RykNq9XclHMac1E7alkpQ3FLVu47wPQcesL7HZWuaMPUK63FkcZdtDgt06s6Ms0HYxOjGqss1c\/BfWPJ1rHkv1FPpfW1jqLZcKdxBZK0hsg9ZjuDmnrChw1OyN6\/Vn3Sel9Cco1klt2rrVBUOiaTBUgATQu62u4hfl\/wAqGjBoO7SU1HcW1dI5xET+DwOpwX6TB45YiNpKzPgY3ASwzzRd0ZW73Lb+KY7vVI9xJSySOedpxySmLpUqZtEcIRyoEIQuJsEIQgBCEIAQhCAEIQgBCEIAQhCAEIQsoAhCEB05sdKXmx1p44p2AvXkRycmcthGx2LqhMqJmZz5sdRQYxjguiCrlQzMjO4oY4scHtO8HKdI0gpi8k04yOq1RO9+q\/AaJPuTHXavdxnKiITiz6kyR6Eh1fWO4zu8VzNTUHjM\/wAVzQs55dS5UOMkh4vd4puSeJKEKXZQQhCgBCEIAQhCAEIQgBCEIAQhCAEIQgBGyT0IBIOQurHg7uBXSnGMtGyN2OYY49CXm3dS7JQeslehUImM7OIhcUogPSV2QtKjBEzs5cwOlym0dthqJoY3OdiRwB8VHVlaTmqp+x4\/FbjTh0MSnI0Y0hY4\/wCrkd3vS\/B6yR8KNpPaSVNM\/auL5l0VOPQzmfUjm2WyP0KKLwTTT0jB5tPGPqhOkmUd8q1ZIy2PdzbfRY0dwXKR+5c3y9q4PkVIPe8Lg9\/TlNdIuL5EIK94Ud70PkyuLnY6UbsEhxd0lc3OTS89K5l2VzbOiiOLscFe6Fk2NS0zju3O\/BZ4uVrpefmL1BJ1Z\/BYudFGx7OapvWmmraOlZ03VvWmG6t61omZGjNWOtMNYOtZ03QesmG6AfK+9BmRozWN6Smmsb1rNuug9ZTbCya+3antkB3zO849Tek+Cy9Fdmo+00kehWS8DTNjmr42jyyuBZG48Ws6wsq6SSqmdUTPLnPOSSrS+YnqjBCDzFOOaj7gs7U1Pk0my12SOhfOXtNz5s+q1lShyRdRyU9FGZZsF59FvUq2t1G1jS1sbRhVM9Y9wLnuJJWX1FdzTxGON3xkm4dg60hScnqZqVlCNkaGHWtG+v8AI6l4AO4O6AVq7fXvpXtnjfts4gg7l4VSxOq6uKIvxzjwC7qz0r6usfI8DoamuVqr2TPEQc5rjknctYh06Vk+ZjDKrWba5Fro\/lLlonMja7ZwvftCcqcknNh1T1dK+MXsqKCpcwgsexxBHatbpfWFTRSMaZCMHrXzq+EUleJ9GhjHF5Zn6O6T18Z2M2pwQe1ei2\/UENQwFzhvXwpoflOfFzYkm6ule9aS5SaapYxr5gCe1fMkpU3Zn0bRqK8T6C8rhkZlpCymq7kYKeQtdwBVTT6nZLDtxTAjHWsLrnWxpqeXacCAD0qJ5goWPDuX\/XUlvpagGXGAelfnjrnUtRqK9zVEkhdGxxDV9Ge6b5QRUxS00L\/PfloGV8onJJJ6V+gwdJwp36nwO0K2eplWyGE5QnbISbPUvTY8IiEIUAIQhACEIQAhCEAIQhACEIQAhCEAIQhACEIWQSEue1Ihe25xHA5QmoyUJYchNyUu0qLA5ocMFcjCehddpG0syipblTaOPNOSc25SMhJkLnwolzs4c27qSbJUjzUeb1KcGJc7I2yepGCpG5JgJwEXOcMFGCu+B1IwOpTgLqMxwwUYK74HUjAU4K6jMcMFGCu+B1IwOpOCuozHDBS7J6l23IyOtXgoZjjslGyV2yOtJ5uU4URmZz2CjYK65CTa6k4URmZz2CjYK6ZHSEhKcKJbsZsFIWkLokyOBR0o8hcRknQV0BB4LkWjoSBxarGbhpINJ7HdGSmteHJV2Ur6oxYeDlTrU7FVH2Oyq8A9Cm29r2zNcBwXSOrOc7JGo53tXN8vaozS49ZTix54MK6HMV8nauD5O1dDBM7gxJ5FUO+QgI7nrk9xU4Wypd0fcnCy1DuvwQmpUuLjwC5ODir9un5ncQV0bpl54gpdCzMwWlczG48FsWaWJ4sPgpEelB82fBZdjSzIwhgkPAJPJZTwBXojNJt+a+5SI9Jt+aHgo1E2nI80FDOeDT4KTR0dXBO2ZjDlvYvTI9Jj5r7lLi0o35v7llKKZbzeh56JboeEZTw27Ox5q9KZpUY\/Zfcu7NLNHFgWsyM8NnmIgup+SuVSblTML3wPLR0jevWBpynZ6To295CcLDbjudPB7XhTOVUjxN98eMjDsrV8mGsLdbNQu9+Jm08dREYmTu4RuPSVsLlyYWW8tJiMUcp4PicM57lgNR8lOqLCHTxUjqymG\/biaSQO0LjUvOLiztSXCkppbHqV\/wBQ6UtjI4aa8wVlRUODWNhdtbyexY6tk\/pk2\/OHYXnNrZJDdKcvYWlkoJBGMELculLtp7jvccry8J09z2OvxRZ5i8OxwaCT3BYGvqX1dU+VxyCcDsC3EofHaa+sGfNj2G953LCillPySu9KN7s89WSVrjqMlsoc3i05XrVj5ZL9ZLC22wznZYMbz0Ly2jpZGv8AOacKS+NzhzbVivSjOykjWHrSp3cGeh2rW0N\/rHtq3Bs0hzv6VomMcwh8ZXicVNWU0zZotprmnIIXo2l9VOmjZTV42Xjdk9Kk6NleJqFa7tLc31t1BVULhl5GO1b\/AE3ymzUrmNM5GO1eYNMNQzaYRvUeUSQZcwkY6l4qlCNTc91OvOnsz6ptnLc6mphGaniOtZ7WHK9DWUcmZxkg9K+aZ9Q10GRzrsDtWZ1DrOqZC9hmdkjHFc6fZyvc6VO02lYr+VXUjr9f37Mm0yMnp6VhXEDgn1NTJUzOle4kuOcriT0r6t1BKKPjNucnJ8wSE4SEkoXNu5UgQhCyUEIQgBCEIAQhCAEIQgBCEIAQhCAEIQgBCELLB2DkbXYhC9ZiwuQjI60IS5lhkdaEIS4FQhCtwCEIUuBEqEJcCZCMjrQhLgMhJtdiEIVINrsRtFCFC2EyUZKEIARlCEAJM9CEJcBw4lGQhClwGQgnqQhS4EJykQhACCMoQsso3eCujH5GOlCFiDcZ2RXqjvFLsEZaHBaOyi31jgwPDJPVduQhe6DPPKK3NTDY925ilMsf8iEI2VRRIZYx6n3Lsywj1PuQhS5cqJDLA31PuUmOwN+bQhLmlFEhlgHzYUmPT7fUHghCFUUSY9Pt9RSWaebj0EIQ1lRVXWstVneYZGuklHyGjh3qpfqg5+ItzAOjaOUIVsc5Np2Qz4SXF3oQws7moF8uz\/64N7mgIQoS7FNxucnpVknsOFzc6rk9OokPe4oQhLjTTud6Tie8obROe4Na0ucdwA4lCFGaW6PbORn3OtXrqpZU3iSWCnJGI2HB9pX0\/Qe5EslFStFHPP6O9r5C4H2FCF+exGLq52rn6OjhaUaa0MXrH3DGltRPdUCk8lrRvbPB5pz2jgV4Nrv3FXKVpt0ktmdDcqduS0ei\/H4IQucMZVvZu50lg6MuVjyLVmib9pe2RWq82moppZHl8m1Gcbu3gsnHYy4+ZA4\/VKEL7+Gk3TTPgYymo1nFciXFpatl\/Z0Uh+rhNGg74Z+cbSta3+Z4CEKzdzlT9nYtxo\/DWipq6SDA37Ui7Raf0vTedWalpmkdEe8oQik0tDVk3dnaa9aZt0YitlbUVMnDaLcNTm32nqI\/SGe0oQuMknqbjUexTXSpZsuLXBec3qqfPVOGfNCELrDY5Sd5FamkYQhc5GkCEIXNsoIQhQAhCEAIQhACEIQAhCEAIQhACEIQAhCEAIQhAf\/Z\"\/><br \/>\n These metrics expose consistency, resilience, and true manager value, turning raw numbers into actionable insight.<\/p>\n<h3>Latency Percentiles and Execution Quality Benchmarks<\/h3>\n<p>Evaluating investments solely on raw returns overlooks the risk taken to achieve them. <strong>Risk-adjusted performance metrics<\/strong> provide a clearer picture of efficiency and consistency. Key measures include the Sharpe ratio, which compares excess return to volatility; the Sortino ratio, which focuses only on downside risk; and alpha, which captures performance above a benchmark. Maximum drawdown reveals the worst peak-to-trough decline, while the information ratio assesses active management skill. Together, these tools help investors distinguish luck from skill and align portfolio choices with their tolerance for loss over time.<\/p>\n<h2>Common Failure Modes and How to Debug Them<\/h2>\n<p>Most bugs fall into a few familiar buckets: null or undefined values, off-by-one errors, race conditions, and bad API responses. To debug them, start by reproducing the issue reliably, then check your logs and error messages carefully. <strong>Console logging<\/strong> and breakpoints are your best friends here. For race conditions, add timestamps or use a debugger to watch execution order. If it\u2019s a data problem, validate inputs early and fail loudly. <strong>Rubber duck debugging<\/strong> really works too\u2014explain the code line by line out loud. Finally, isolate the smallest possible test case. That usually reveals the culprit fast.<\/p>\n<h3>API Rate Limits, Disconnections, and Order Rejections<\/h3>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' width=\"605px\" alt=\"AI trading bot\" 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\"\/><\/p>\n<p>Most production incidents trace to a handful of recurring patterns\u2014null propagation, race conditions, resource exhaustion, and silent configuration drift. Effective <strong>debugging failure modes<\/strong> starts with reproducing the issue deterministically, then narrowing scope through binary search on logs, metrics, and recent commits. Add structured logging with correlation IDs, capture stack traces at boundaries, and never trust &#8222;it works locally.&#8220; Before diving into code, verify environment parity, dependency versions, and feature flags. Isolate variables one at a time, and write a failing test that encodes the bug so it can&#8217;t silently return. Treat every fix as a hypothesis, not a conclusion.<\/p>\n<h3>Model Drift When Market Regimes Change Suddenly<\/h3>\n<p>When the payment service started timing out at 3 a.m., the on-call engineer faced a classic <strong>common failure mode debugging<\/strong> challenge. Most outages trace back to a few culprits: null pointer exceptions, race conditions, memory leaks, and misconfigured timeouts. The fastest path to resolution follows a simple ritual:<\/p>\n<ol>\n<li>Reproduce the failure in a safe environment.<\/li>\n<li>Check logs and metrics for the first anomaly, not the loudest one.<\/li>\n<li>Bisect recent changes to isolate the trigger.<\/li>\n<li>Add targeted instrumentation, then verify the fix.<\/li>\n<\/ol>\n<p>Debugging is detective work: follow the evidence, question assumptions, and let the system tell its story.<\/p>\n<h3>Catastrophic Forgetting in Continuously Retrained Networks<\/h3>\n<p>When the checkout button stopped working during a flash sale, Maya learned that common failure modes rarely announce themselves. <strong>Debugging web application errors<\/strong> often means chasing silent nulls, race conditions, and expired tokens. She opened the browser console, reproduced the bug, and added logging before each suspect line. A quick checklist saved her: <\/p>\n<ol>\n<li>Reproduce the failure reliably.<\/li>\n<li>Read the full stack trace.<\/li>\n<li>Isolate the smallest failing case.<\/li>\n<li>Check recent changes.<\/li>\n<li>Fix, then test the exact scenario.<\/li>\n<\/ol>\n<p> By treating the bug like a story with clues, she turned a panic into a five-minute fix.<\/p>\n<h2>Security Hardening for Your Automated Trading Infrastructure<\/h2>\n<p>Security hardening for automated trading infrastructure involves reducing the attack surface across servers, networks, and execution endpoints. Essential measures include enforcing multi-factor authentication, applying the principle of least privilege, and segmenting trading systems from general corporate networks. Encrypting data in transit and at rest, alongside rigorous <strong>API key management<\/strong>, prevents unauthorized access to brokerage accounts. Regular patch management, immutable backups, and real-time intrusion detection help mitigate zero-day exploits. Additionally, <strong>network segmentation and monitoring<\/strong> ensure that anomalous order flow or latency spikes trigger immediate alerts. By combining these controls with continuous auditing, firms can protect both capital and market integrity.<\/p>\n<h3>API Key Encryption and Multi-Signature Wallet Controls<\/h3>\n<p>Think of <strong>security hardening for automated trading infrastructure<\/strong> like locking down a vault full of cash. You wouldn&#8217;t leave the door open, right? Start by disabling unused ports and services, enforcing multi-factor authentication, and encrypting all API keys at rest. Keep your systems patched, segment trading networks from general traffic, and monitor logs around the clock for weird activity. A simple checklist helps: <\/p>\n<ul>\n<li>Rotate credentials regularly<\/li>\n<li>Use least-privilege access<\/li>\n<li>Deploy intrusion detection<\/li>\n<li>Back up configs offline<\/li>\n<\/ul>\n<p> Do these basics, and you&#8217;ll sleep better while your bots trade.<\/p>\n<h3>Intrusion Detection for Cloud-Hosted Bots<\/h3>\n<p>When a rogue bot drained a hedge fund&#8217;s account overnight, the team learned that <strong>automated trading infrastructure security<\/strong> is not optional. They hardened every layer: encrypting API keys at rest, isolating execution nodes behind a VPN, and rotating credentials daily. Rate limits and IP whitelisting stopped brute-force attempts, while <mark>immutable audit logs<\/mark> revealed every anomaly. They also patched dependencies weekly and ran intrusion tests quarterly. The result? Attacks dropped to zero, uptime stayed perfect, and the fund finally slept soundly.<\/p>\n<h3>Disaster Recovery and Failover Execution Plans<\/h3>\n<p>Security hardening for automated trading infrastructure focuses on reducing attack surface and enforcing least privilege across every component. Apply <strong>secure API key management<\/strong> by storing credentials in encrypted vaults, rotating them regularly, and restricting IP access. Isolate trading engines in segmented networks, disable unused ports, and patch systems promptly. Enable detailed logging and real-time alerts for anomalous order flow. Multi-factor authentication and role-based access controls further limit insider risk. Regular penetration testing validates defenses before attackers exploit gaps.<\/p>\n<ul>\n<li>Encrypt secrets at rest and in transit<\/li>\n<li>Use dedicated, firewalled execution nodes<\/li>\n<li>Monitor for unauthorized configuration changes<\/li>\n<\/ul>\n<p><strong>Q:<\/strong> How often should keys rotate? <strong>A:<\/strong> At least every 90 days or after any suspected exposure.<\/p>\n<h2>Emerging Trends Shaping Next-Generation Trading Automata<\/h2>\n<p>The next generation of trading automata is being reshaped by the fusion of <strong>generative AI and adaptive machine learning<\/strong>, enabling systems that evolve in real time rather than following rigid rule sets. Reinforcement learning agents now optimize strategies across volatile markets, while quantum-inspired algorithms and edge computing slash latency to microseconds. DeFi integration and smart contract automation open decentralized liquidity pools, and sentiment analysis powered by large language models captures market mood instantly. Crucially, <strong>explainable AI and regulatory compliance<\/strong> are becoming core design principles, ensuring these autonomous traders remain transparent, auditable, and resilient in an increasingly complex financial landscape.<\/p>\n<h3>Decentralized Finance and On-Chain Execution Bots<\/h3>\n<p>Next-generation trading automata are being reshaped by <strong>AI-driven algorithmic trading<\/strong>, which combines deep reinforcement learning with real-time market microstructure analysis. Key developments include:<\/p>\n<ul>\n<li>Adaptive execution engines that adjust to volatility regimes<\/li>\n<li>Explainable AI modules for regulatory compliance<\/li>\n<li>Decentralized finance integration via smart contracts<\/li>\n<\/ul>\n<p>These systems increasingly use alternative data, on-chain signals, and low-latency edge computing. The result is greater autonomy, but also new risks around model drift and liquidity fragmentation.<\/p>\n<p><strong>Q:<\/strong> What limits adoption? <strong>A:<\/strong> Data quality, latency constraints, and evolving compliance rules.<\/p>\n<h3>Quantum Computing\u2019s Potential for Portfolio Optimization<\/h3>\n<p>AI-powered adaptive strategies are becoming the backbone of next-gen trading bots, letting them learn from market shifts instead of just following rigid rules. You&#8217;ll also see more decentralized finance integrations, where automata execute trades across DEXs without middlemen. Real-time sentiment analysis from social media and news is another game-changer, helping bots react to hype or panic faster than any human. Plus, no-code builder platforms are making it easy for regular folks to deploy their own bots. The big shift? Bots that don&#8217;t just trade\u2014they collaborate, share data, and evolve together.<\/p>\n<h3>Collaborative Multi-Agent Systems and Swarm Intelligence<\/h3>\n<p>Next-generation trading automata are being reshaped by AI-driven decision engines, real-time alternative data, and decentralized execution rails. <strong>Emerging trends in trading automation<\/strong> now include reinforcement learning for adaptive strategies, low-latency edge computing, and explainable AI for compliance. <mark>Self-optimizing algorithms<\/mark> continuously tune risk and alpha without human input. Meanwhile, interoperability between centralized and decentralized venues, plus quantum-resistant cryptography, is becoming table stakes. These shifts promise faster, safer, and more transparent automated markets.<\/p>\n<h2>Practical Steps to Launch a Small-Scale Pilot<\/h2>\n<p>Kick off your small-scale pilot by defining one razor-sharp goal, like testing a single feature with twenty users. Recruit a focused group, set a two-week timeline, and track only the metrics that matter\u2014conversion, retention, or task completion. Use simple tools: a landing page, a survey, or a spreadsheet. Run the pilot, gather feedback daily, and iterate fast. The magic lies in <strong>rapid validation<\/strong> before scaling. Remember, a pilot isn\u2019t about perfection; it\u2019s about learning. If the signals look promising, <mark>expand gradually<\/mark>. Otherwise, pivot without guilt. This lean approach saves time, money, and endless guesswork.<\/p>\n<h3>Paper Trading Accounts and Sandbox Environments<\/h3>\n<p>Starting a <strong>small-scale pilot project<\/strong> doesn&#8217;t have to be overwhelming. First, define one clear goal and pick a tiny test group\u2014maybe 10 customers or one team. Next, set a short timeline, like two weeks, and choose simple tools you already have. Then, run the pilot, collect feedback daily, and tweak as you go. Finally, review results against your goal to decide if it&#8217;s worth scaling. Keep it lean, learn fast, and don&#8217;t overthink it.<\/p>\n<ol>\n<li>Define goal &amp; test group<\/li>\n<li>Set timeline &amp; tools<\/li>\n<li>Run &amp; gather feedback<\/li>\n<li>Review &amp; decide next steps<\/li>\n<\/ol>\n<p><strong>Q: How small is too small?<\/strong><br \/>A: If you get useful data, even 5 users work fine.<\/p>\n<h3>Choosing a Broker with Robust API Documentation<\/h3>\n<p>Launching a <strong>small-scale pilot project<\/strong> starts with a tight scope: pick one problem, one audience, and one measurable goal. Next, draft a simple one-page plan covering budget, timeline, and success metrics. Recruit a small test group, run the pilot for two to four weeks, and collect feedback daily. Then review results, fix gaps, and decide whether to scale. Keep it lean, fast, and focused on learning\u2014not perfection.<\/p>\n<ol>\n<li>Define the goal and success metric.<\/li>\n<li>Choose a small test group.<\/li>\n<li>Set a short timeline and budget.<\/li>\n<li>Run, observe, and gather feedback.<\/li>\n<li>Evaluate and decide next steps.<\/li>\n<\/ol>\n<p><strong>Q:<\/strong> How long should a pilot run? <strong>A:<\/strong> Usually 2\u20134 weeks is enough to spot early signals.<\/p>\n<h3>Iterating from Micro Lots to Scaled Capital Allocation<\/h3>\n<p>Launching a <strong>small-scale pilot project<\/strong> starts with a sharp hypothesis and a tiny, measurable scope. First, define one success metric and a two-week window. Then recruit five to ten real users, not colleagues. Build a rough prototype\u2014spreadsheets and no-code tools work fine. Run the test, watch behavior, and log every friction point. Finally, hold a 30-minute retro to decide: pivot, scale, or kill. Speed beats polish here. Ready to test?<\/p>\n","protected":false},"excerpt":{"rendered":"<p>How AI Trading Bots Are Quietly Making Ordinary Investors Rich An AI trading bot is like having a tireless market assistant that watches charts, spots patterns, and executes trades while you grab a coffee. Unlike traditional tools, it learns from data and adapts to shifting conditions in real time. If you&#8217;re curious about automating your &hellip; <a href=\"https:\/\/herzenstaenze.de\/?p=84657\" class=\"more-link\"><span class=\"screen-reader-text\">How AI Trading Bots Are Quietly Making Ordinary Investors Rich<\/span> weiterlesen <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":29,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3],"tags":[],"class_list":["post-84657","post","type-post","status-publish","format-standard","hentry","category-texte"],"_links":{"self":[{"href":"https:\/\/herzenstaenze.de\/index.php?rest_route=\/wp\/v2\/posts\/84657","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/herzenstaenze.de\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/herzenstaenze.de\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/herzenstaenze.de\/index.php?rest_route=\/wp\/v2\/users\/29"}],"replies":[{"embeddable":true,"href":"https:\/\/herzenstaenze.de\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=84657"}],"version-history":[{"count":1,"href":"https:\/\/herzenstaenze.de\/index.php?rest_route=\/wp\/v2\/posts\/84657\/revisions"}],"predecessor-version":[{"id":84658,"href":"https:\/\/herzenstaenze.de\/index.php?rest_route=\/wp\/v2\/posts\/84657\/revisions\/84658"}],"wp:attachment":[{"href":"https:\/\/herzenstaenze.de\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=84657"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/herzenstaenze.de\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=84657"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/herzenstaenze.de\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=84657"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}