Navigating Volatility: A Deep Dive into Trend Following Strategies for Big Time (BIGTIME) in Cryptocurrency Markets
We are going to write an analysis focused on applying trend following strategies to Big Time (BIGTIME) within the cryptocurrency market, examining its performance, market trends, and the effectiveness of these strategies in navigating BIGTIME's volatility:
Trend Following Analysis of Big Time (BIGTIME) in Cryptocurrency Markets
Abstract
This paper presents an in-depth analysis of Big Time (BIGTIME), focusing on its performance within the context of trend following strategies in cryptocurrency markets. Utilizing real-time data and sentiment analysis from platforms like X (formerly Twitter), we explore how BIGTIME has navigated through market volatilities and trends. The study begins with an overview of BIGTIME's market entry, its unique value proposition in the gaming sector, and its adoption trends. We then delve into the application of trend following strategies, assessing their effectiveness through historical price movements, trading volumes, and market capitalization shifts. Key findings include a significant correlation between social media sentiment and price movements, alongside the impact of broader market trends on BIGTIME's performance. The analysis also covers the challenges faced, such as regulatory uncertainties and market sentiment swings. Conclusively, the paper discusses the implications of these findings for investors and traders, suggesting that while trend following can offer substantial returns, it requires careful risk management and continuous adaptation to the dynamic crypto environment. This abstract encapsulates the essence of a comprehensive study aimed at understanding the nuances of trading BIGTIME through trend following lenses.
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Papers Primary Focus: Evaluating Trend Following Strategies in the Volatility of Big Time (BIGTIME) Cryptocurrency
Big Time, often referred to as BIGTIME, emerges as a pioneering venture in the realm of blockchain gaming, blending the dynamics of a multiplayer action RPG with the innovative economics of cryptocurrency. Its historical background traces back to a vision of creating a gaming ecosystem where players could engage in a rich, interactive world while also participating in a real economy, driven by the $BIGTIME token. This project was conceptualized by a team with roots in significant gaming and blockchain projects, aiming to bridge the gap between traditional gaming and the burgeoning field of blockchain technology.
The project overview reveals Big Time as a free-to-play game that not only promises entertainment through its fast-paced combat and expansive universe but also introduces players to a seamless integration of Web3 technologies. Unlike many blockchain games where the technology often overshadows gameplay, Big Time focuses on making these technologies invisible to the player, ensuring that the gaming experience remains at the forefront. This approach has been pivotal in attracting a broader audience, not just those already versed in cryptocurrencies.
In terms of market position, Big Time has carved out a niche by becoming one of the most streamed Web3 games on platforms like Twitch, indicating both its appeal and the community's engagement. Its unique selling proposition lies in its ability to offer a high-quality gaming experience while simultaneously providing players with ownership over in-game assets through blockchain technology. This dual focus on gameplay and player empowerment through tokenomics positions Big Time uniquely in the market, appealing to both gamers looking for depth in gameplay and investors interested in the potential of blockchain assets. The game's success is further evidenced by its revenue generation, surpassing $100 million, which underscores the viability of its model in the competitive gaming industry.
The market performance of Big Time (BIGTIME) in 2024 presents a dynamic landscape, characterized by significant fluctuations and a robust trading volume that reflects both investor interest and market volatility. Historically, BIGTIME has shown a notable resilience, with its price movements indicating a pattern of recovery and growth following dips. Real-time data as of mid-2024 shows BIGTIME experiencing a slight uptick, with the price hovering around $0.08 to $0.12, demonstrating a recovery from earlier in the year where it had hit lower points. This recovery can be attributed to several factors, including increased adoption within the gaming community and broader interest in blockchain-based gaming assets.
Trading volume for BIGTIME has been substantial, often surpassing $20 million in daily trades, which is indicative of high liquidity and active market participation. This volume suggests that BIGTIME has not only captured the attention of gamers but also of crypto traders looking to capitalize on its volatility. The trading activity around BIGTIME has been particularly pronounced during periods of broader market movements, where it tends to follow but also sometimes lead trends in the crypto gaming sector.
Market capitalization trends for BIGTIME have been on an upward trajectory, with the total market cap reaching close to $90 million at its peak in 2024. This increase in market cap reflects not just the price movement but also the growing confidence in BIGTIME's ecosystem, driven by its unique proposition in the gaming industry. The market cap's growth is also fueled by the broader acceptance of cryptocurrencies as a viable investment class, with BIGTIME benefiting from this trend due to its integration of blockchain technology into gaming, making it a standout case in the niche market of crypto gaming assets.
The application of trend following strategies to Big Time (BIGTIME) involves a methodology rooted in capturing the momentum of price movements, which is particularly suited to the volatile nature of cryptocurrency markets. This approach typically employs moving averages, momentum indicators, and sometimes more complex models like the "collection of strangles" to identify and ride trends. For BIGTIME, trend following might start with identifying significant price movements that break out from established ranges or moving average crossovers, signaling the beginning of a new trend. This method leverages the tendency of trends to persist longer than many traders anticipate, which can be especially profitable in the crypto space where trends can be driven by news, technological developments, or shifts in investor sentiment.
Case studies of successful trend following with BIGTIME would likely highlight instances where traders entered positions just as BIGTIME began a significant upward or downward trend, often triggered by announcements related to the game's ecosystem, broader crypto market sentiment, or macroeconomic factors affecting investor behavior towards cryptocurrencies. These case studies might showcase how traders who followed the trend managed to capture substantial gains by holding positions through the trend's lifecycle, adjusting their strategies as momentum indicators suggested a potential reversal or continuation.
However, this strategy is not without its challenges and risks. The primary challenge lies in the inherent volatility of cryptocurrencies, where trends can reverse abruptly due to regulatory news, technological setbacks, or shifts in investor confidence. For BIGTIME, specific risks could include changes in the gaming industry's regulatory landscape, security breaches within the game's ecosystem, or shifts in player engagement that could affect the token's perceived value. Moreover, trend following requires discipline to avoid entering trades prematurely or exiting too late, which in the fast-moving crypto markets can lead to significant losses. The emotional aspect of trading also plays a critical role, where the fear of missing out (FOMO) or panic selling can lead traders astray from the disciplined execution of trend following strategies.
Technical analysis of Big Time (BIGTIME) involves a deep dive into various indicators and patterns to predict future price movements based on historical data. The use of moving averages and oscillators forms the backbone of this analysis. For BIGTIME, traders might employ simple moving averages (SMA) or exponential moving averages (EMA) to smooth out price data and identify trends. A common strategy includes watching for crossovers where a short-term moving average crosses above or below a longer-term one, signaling potential buy or sell points. Oscillators like the Relative Strength Index (RSI) or the Moving Average Convergence Divergence (MACD) are used to gauge momentum and overbought or oversold conditions. For instance, an RSI above 70 might suggest BIGTIME is overbought, potentially indicating a price correction, while below 30 could signal it's oversold, hinting at a buying opportunity.
Key price levels, such as support and resistance, are crucial in understanding where BIGTIME might find buying or selling pressure. These levels are often identified by previous highs and lows or by round numbers that traders psychologically consider significant. For BIGTIME, if the price consistently fails to break above a certain level, it might be seen as resistance, suggesting selling pressure. Conversely, if the price repeatedly bounces back from a lower level, this could be considered support, indicating buying interest. Identifying these levels helps traders set entry and exit points, manage risk, and anticipate potential price movements.
Volatility analysis for BIGTIME would involve assessing the range of price changes over time, often using tools like the Bollinger Bands or Average True Range (ATR). High volatility periods, where BIGTIME might see wider price swings, could indicate increased interest or uncertainty in the market. This volatility can be both an opportunity for profit and a risk for significant losses. By understanding the historical volatility, traders can better prepare for potential sharp movements, adjusting their positions accordingly. This could mean tightening stop-losses during high volatility or even avoiding trades if the risk seems too high relative to potential reward. Technical analysis, therefore, not only helps in predicting trends but also in managing the inherent risks associated with trading cryptocurrencies like BIGTIME.
The fundamental analysis of Big Time (BIGTIME) delves into the tokenomics, utility, and community engagement, providing a comprehensive view of its intrinsic value and market potential. Starting with tokenomics, BIGTIME's supply dynamics are structured to foster both player engagement and economic stability within its ecosystem. The total supply cap at 5 billion tokens, with a significant portion allocated for player rewards, ensures that the token's value is directly tied to in-game activities. This model not only incentivizes gameplay but also aims to maintain a balanced economy by controlling inflation through gameplay mechanics rather than traditional market mechanisms. The distribution, with 60% for player rewards, 20% for ecosystem and treasury, and another 20% for community and marketing, reflects a commitment to sustainability and growth, underpinned by a fair launch approach where no tokens were pre-allocated to the team or investors.
The utility of BIGTIME within its ecosystem extends beyond mere currency; it's integral to the game's economy, functioning as a medium for transactions, governance, and as a reward mechanism. This multifaceted utility enhances its value proposition, making it more than just a speculative asset but a core component of the gaming experience. The integration of blockchain technology in a way that's seamless for players, making Web3 elements invisible, broadens its appeal, potentially attracting a larger user base not typically interested in cryptocurrencies.
Community engagement and sentiment around BIGTIME are vibrant, as evidenced by the active discussions and growth metrics observed on platforms like X. The community's role in governance, coupled with the project's transparency in development updates and roadmap adherence, fosters a strong, supportive environment. Sentiment analysis from X posts indicates a bullish outlook, with users often highlighting BIGTIME's potential in the GameFi sector, suggesting a robust community backing that could drive both adoption and value. However, concerns regarding audit results and transparency scores remind us of the importance of ongoing improvements in security and openness to maintain trust and encourage further investment. This blend of utility, community support, and strategic tokenomics positions BIGTIME as a notable player in the evolving landscape of blockchain gaming, with its success hinging on continuous engagement, development, and adaptation to market dynamics.
When examining Big Time (BIGTIME) within the broader context of gaming cryptocurrencies, its performance and utility present a unique case study. Unlike many gaming tokens that might focus solely on in-game utility or speculative investment, BIGTIME's ecosystem is designed with a broader appeal, aiming to integrate seamlessly into gameplay without the overt presence of blockchain technology. This approach potentially positions BIGTIME as less of a niche cryptocurrency and more of a mainstream gaming asset, which could explain its volatility and market cap fluctuations as observed in recent market data.
Comparatively, BIGTIME's market performance against giants like Bitcoin (BTC) and Ethereum (ETH) reveals interesting dynamics. While BTC and ETH often serve as benchmarks for the crypto market's health, BIGTIME's movements against these titans highlight its niche yet growing relevance. For instance, while BTC and ETH might see steady or predictable growth based on broader market trends or technological developments like Ethereum's upgrades, BIGTIME's price actions seem more closely tied to gaming industry trends, player engagement, and the broader adoption of blockchain in gaming. This is reflected in its significant price changes, like the notable drop and subsequent recovery, indicating a high sensitivity to both the crypto market's whims and the gaming community's sentiment.
Against ETH, which has its own ecosystem of decentralized applications and smart contracts, BIGTIME's utility within its gaming ecosystem might not directly compete but rather complements by offering a different value propositionโdirect player engagement and economic participation within a game. This differentiation could be why, despite ETH's robust growth in DeFi and other sectors, BIGTIME finds its niche, appealing to gamers who might not typically delve into cryptocurrencies but are drawn by the game's mechanics and rewards system.
The comparison also sheds light on BIGTIME's volatility, which, while high, might attract traders looking for quick gains or losses, mirroring the speculative nature of gaming cryptocurrencies. However, this volatility could also deter long-term holders unless the ecosystem's growth and player base expand significantly, stabilizing its value through increased utility and adoption. Thus, while BIGTIME might not yet challenge the market caps of BTC or ETH, its performance and community engagement metrics suggest a robust, albeit volatile, presence in the gaming crypto sector, with potential for growth if it continues to innovate and engage its player base effectively.
When considering investment and trading strategies for BIGTIME, risk management becomes paramount given the cryptocurrency's volatility. Investors should approach BIGTIME with a strategy that incorporates stop-loss orders and position sizing to mitigate potential losses. For instance, setting stop-losses at strategic points below the current market price could protect against significant downturns, a common occurrence in the crypto market as observed with BIGTIME's price fluctuations. Moreover, employing a dollar-cost averaging (DCA) strategy could be beneficial, allowing investors to spread out their investment over time, thus reducing the impact of volatility on their overall investment cost.
Portfolio diversification with BIGTIME involves balancing it with other assets, both within and outside the crypto market. Given BIGTIME's niche within gaming cryptocurrencies, diversifying across different sectors of the crypto marketโlike DeFi, stablecoins, or major cryptocurrencies like BTC and ETHโcan help spread risk. Additionally, integrating traditional assets like stocks or bonds into the portfolio can further stabilize returns, leveraging the potentially high returns of BIGTIME against the more predictable, albeit lower, returns of traditional investments. This approach not only manages risk but also positions the investor to benefit from BIGTIME's growth potential while safeguarding against its inherent volatility.
Sentiment analysis from platforms like X provides real-time insights into market sentiment towards BIGTIME. Recent posts suggest a mix of optimism and caution, with some users highlighting potential pumps or significant volume increases, indicating strong interest or speculation. However, these sentiments should be taken with skepticism due to the platform's nature, where hype can easily inflate expectations. A balanced view involves cross-referencing these sentiments with technical and fundamental analyses. For instance, while X posts might signal a bullish trend, technical indicators like RSI could show BIGTIME as overbought, suggesting a potential correction. Thus, while social sentiment can guide trading decisions, it should be one of many tools in an investor's toolkit, used alongside more quantitative data for a comprehensive investment strategy.
When considering the short-term price predictions for BIGTIME, the cryptocurrency's recent performance and market sentiment, as reflected in X posts, suggest a volatile yet potentially bullish trajectory. There's a noticeable optimism among some users predicting significant pumps within short time frames, indicating strong interest or speculative trading. However, this enthusiasm should be tempered with the understanding that such predictions often come with high risk due to the crypto market's inherent volatility. Given BIGTIME's niche in gaming cryptocurrencies, any short-term price movements could be heavily influenced by gaming industry news, updates on BIGTIME's ecosystem, or broader crypto market trends. Thus, while there might be short-term gains, these could be equally met with rapid corrections, necessitating a cautious approach with stop-loss strategies.
Long-term growth scenarios for BIGTIME hinge on several factors. Firstly, the broader adoption of blockchain in gaming could significantly benefit BIGTIME if it continues to innovate and engage its player base. The gaming industry's growth, as projected by various reports, points towards a thriving market, especially in sectors like mobile gaming, esports, and the integration of new technologies like AI and VR. If BIGTIME manages to align its development with these trendsโenhancing gameplay with blockchain's benefits like ownership of in-game assets or seamless cross-platform playโit could see substantial growth. Moreover, if BIGTIME can establish itself as a leader in integrating these technologies, it might not only grow in market cap but also in utility, potentially stabilizing its value over time.
The impact of gaming industry trends on BIGTIME is multifaceted. The rise of mobile gaming, the potential of the metaverse, and the integration of AI for game development could all serve as catalysts for BIGTIME's growth. However, this also means competition will intensify, requiring BIGTIME to continuously innovate or risk being overshadowed by newer, more adaptive gaming cryptocurrencies or traditional gaming giants entering the blockchain space. Additionally, regulatory changes, especially in key markets like China, could either stifle or boost BIGTIME's growth, depending on how these regulations affect gaming and blockchain integration. Therefore, while the gaming industry's trends present numerous opportunities for BIGTIME, its success will largely depend on strategic adaptation, community engagement, and technological foresight in navigating this evolving landscape.
The current regulatory landscape affecting BIGTIME, as with many cryptocurrencies, is characterized by a mosaic of international approaches ranging from stringent controls to more laissez-faire policies. In regions like the European Union, the introduction of MiCA (Markets in Crypto-Assets) regulation signifies a move towards comprehensive oversight, aiming to standardize crypto regulations across member states. This framework not only provides legal clarity for digital assets like BIGTIME but also sets a precedent for investor protection and market integrity, potentially fostering a more stable environment for cryptocurrencies to thrive. Conversely, in jurisdictions like China, the regulatory stance remains highly restrictive, with ongoing bans on crypto-related activities, which could limit BIGTIME's operational scope in one of the world's largest markets.
Looking towards potential future regulations, the impact on BIGTIME could be profound. The global push towards clearer regulatory frameworks might initially introduce more compliance costs and operational hurdles for BIGTIME, similar to what traditional financial sectors experience. However, this could also legitimize cryptocurrencies further, attracting more institutional investors and enhancing market liquidity for assets like BIGTIME. The SEC's stance in the U.S., for instance, could pivot towards clearer definitions of what constitutes a security versus a commodity in the crypto space, directly affecting how BIGTIME might be traded or offered in the future.
Moreover, the advent of CBDCs (Central Bank Digital Currencies) might introduce a new competitive landscape where cryptocurrencies like BIGTIME would need to coexist or integrate with state-backed digital currencies. This could either complement or compete with BIGTIME's ecosystem, depending on how these digital currencies are designed and regulated. The regulatory evolution towards recognizing and integrating cryptocurrencies into the broader financial system could thus serve as a double-edged sword for BIGTIMEโwhile potentially increasing its acceptance and utility, it might also bring it under closer scrutiny, affecting its volatility and speculative nature.
The evolution of Big Time, as reflected in recent updates and features, showcases a dynamic approach to integrating blockchain technology with traditional gaming elements. Recent developments include enhancements in gameplay mechanics, such as the introduction of new items like weapons and armor that players can craft, upgrade, and trade within the game's ecosystem. This not only enriches the gaming experience but also leverages blockchain's capability for secure, transparent ownership and transactions of in-game assets. The introduction of the Pocket watch as a mechanism to save skills, abilities, and equipment signifies a thoughtful design towards player progression, allowing for a personalized gameplay experience that respects player time investment across different classes.
Moreover, Big Time's integration with broader blockchain technologies and platforms is evident through its marketplace, where items like SPACE and Workshops can be acquired, either through rare in-game drops or purchases on the Open Loot Marketplace. This not only facilitates an economy within Big Time but also connects it to the wider Web3 ecosystem, where digital assets can potentially be utilized across different platforms, enhancing liquidity and utility. The game's approach to integrating analytics directly into its platform for both developers and players marks a significant step towards transparency and engagement, allowing for real-time adjustments and optimizations based on user interaction data.
The updates also hint at Big Time's commitment to community engagement, with features like watch parties on Twitch offering access keys, suggesting a hybrid model of traditional gaming distribution with blockchain's community-driven ethos. This blend not only aims at retaining players through exclusive access but also fosters a community where engagement can directly influence gameplay access and rewards. This strategy could set a precedent for how future games might leverage community platforms for marketing, distribution, and player retention, integrating social media's real-time engagement with gaming's immersive experience.
The decentralized governance model within blockchain ecosystems represents a paradigm shift from traditional hierarchical structures to more democratic, community-driven decision-making processes. This model, often facilitated by blockchain technology, allows for a broader, more inclusive approach where every participant can have a say, typically proportional to their stake or involvement in the network. This shift is not merely theoretical; it's actively shaping how projects like Big Time and others manage their development, community engagement, and token economics. The essence of decentralized governance lies in its ability to distribute power, reducing the risks associated with centralized control while fostering a sense of ownership and participation among community members.
Community initiatives play a pivotal role in this governance model. They are not just about enhancing user engagement but are fundamental in driving the value proposition of associated tokens. For instance, initiatives that encourage active participation, like voting on platform features, token burns, or even community-driven marketing campaigns, directly impact the token's utility and desirability. The sentiment around these initiatives, as reflected in discussions on platforms like X, often correlates with token value movements. A strong, active community can lead to increased token liquidity and demand, as seen with projects where community-driven activities lead to significant network effects, enhancing the token's perceived and actual value.
However, the relationship between community initiatives and token value isn't straightforward. While positive community engagement can propel token value through increased adoption and trust, it also requires careful management. Overly ambitious or poorly executed initiatives can lead to disillusionment, potentially devaluing the token if they fail to deliver on promises or if they expose governance flaws. Thus, the governance model's success hinges on its ability to balance community input with strategic decision-making, ensuring that while the community has a voice, the project's vision and sustainability are not compromised. This balance is crucial for maintaining token value, as it reflects not just the community's strength but also the project's long-term viability and adaptability in a highly competitive and volatile market.
The exploration into blockchain governance and its implications across various sectors, particularly finance and sustainability, reveals a multifaceted landscape where technology meets governance innovation. The findings underscore blockchain's potential to revolutionize how transactions are recorded, verified, and governed, moving away from centralized control towards decentralized decision-making processes. This shift is not without its challenges, as evidenced by the discussions around scalability, energy consumption, and the need for robust governance models that can adapt to both technological advancements and regulatory landscapes.
Summary of Findings: Blockchain technology's integration into financial services and supply chains highlights its capability to enhance transparency, reduce fraud, and streamline processes. However, the governance of these systems remains a critical area, with models needing to balance between community input and strategic oversight to maintain token value and ecosystem health. The transition of major ecosystems like Ethereum to more energy-efficient consensus mechanisms signifies a broader industry move towards sustainability, aligning with global ESG investments and indicating a trend towards environmentally conscious blockchain solutions.
Recommendations for Investors and Traders: Given the dynamic nature of blockchain ecosystems, investors should focus on projects with clear, sustainable governance models and those that demonstrate real-world utility beyond speculative value. The growth in layer 2 solutions and modular architectures suggests a diversification of investment into technologies that promise scalability without sacrificing security or decentralization. Moreover, staying informed about regulatory developments is crucial, as these can significantly impact the operational and financial viability of blockchain projects.
Areas for Further Research: The intersection of blockchain with governance opens up numerous research avenues. Delving deeper into how decentralized governance can effectively manage large-scale ecosystems, understanding the long-term environmental impact of various consensus mechanisms, and exploring the psychological and behavioral changes induced by decentralized systems are all fertile grounds for study. Additionally, the integration of blockchain with AI for decision-making in governance could revolutionize how these systems evolve, offering a blend of human oversight with machine efficiency. This not only addresses current limitations but also paves the way for future blockchain applications that could redefine organizational structures across industries.
Note. The aim of our analysis is to evaluate the effectiveness of trend following strategies specifically applied to Big Time (BIGTIME) within the volatile cryptocurrency market. The goal is to provide insights into how these strategies can be optimized for trading BIGTIME, assessing both their potential for profit and the inherent risks involved, thereby guiding investors and traders in making informed decisions. The recommended Citation: Section IV.M.2.a.lxxiii: Big Time (BIGTIME) - URL: https://algorithm.xiimm.net/phpbb/viewtopic.php?p=5954#p5954. Collaborations on the aforementioned text are ongoing and accessible here, as well.
Section IV.M.2.a.lxxxiii: Big Time (BIGTIME)
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Section IV.M.2.a.lxxxiii: Big Time (BIGTIME)
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Re: Big Time (BIGTIME)
#BIGTIME aka $BIGTIME:
Variables & Navigation:
- Buy Limit Price = 0.10607 (1.00x DCAP)
- Sell Limit Price = 0.10714 (1.00x DCAP)
- Buy Limit Price = 0.09342 (1.00x DCAP)
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- = Executed Order(s)
- = Open Order(s)
- DCAP = Dollar Cost Average Protocol
- LP = Limit Protocol
Disclaimer: Leading by Example - Empowering Individual Decisions - The information shared in our posts, including order placements and adjustments, is intended for educational purposes only. We believe in leading by example and fostering a culture of openness and transparency, where individuals can learn from real-world trading experiences across various asset types, including cryptocurrencies and traditional assets.
"The pessimist complains about the wind; the optimist expects it to change; the realist adjusts the sails." ~ William Arthur Ward
- Jatslo
- Site Admin
- Posts: 9239
- Joined: Mon Apr 17, 2023 10:26 pm
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Re: Big Time (BIGTIME)
#BIGTIME aka $BIGTIME:
Variables & Navigation:
- Buy Limit Price = 0.10401 (1.00x DCAP)
- Sell Limit Price = 0.1061 (1.00x DCAP)
- Buy Limit Price = 0.05633 (1.00x DCAP) <-- Adjusted
- Sell Limit Price = 0.09881 (1.00x DCAP) <-- Adjusted
- = Executed Order(s)
- = Open Order(s)
- DCAP = Dollar Cost Average Protocol
- LP = Limit Protocol
Disclaimer: Leading by Example - Empowering Individual Decisions - The information shared in our posts, including order placements and adjustments, is intended for educational purposes only. We believe in leading by example and fostering a culture of openness and transparency, where individuals can learn from real-world trading experiences across various asset types, including cryptocurrencies and traditional assets.
"The pessimist complains about the wind; the optimist expects it to change; the realist adjusts the sails." ~ William Arthur Ward
- Jatslo
- Site Admin
- Posts: 9239
- Joined: Mon Apr 17, 2023 10:26 pm
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- Contact:
Re: Big Time (BIGTIME)
#BIGTIME aka $BIGTIME:
Variables & Navigation:
- Buy Limit Price = 0.11598 (1.00x DCAP)
- Sell Limit Price = 0.11831 (1.00x DCAP)
- Buy Limit Price = 0.04505 (1.00x DCAP) <-- Adjusted
- Sell Limit Price = 0.12923 (1.00x DCAP) <-- Adjusted
- = Executed Order(s)
- = Open Order(s)
- DCAP = Dollar Cost Average Protocol
- LP = Limit Protocol
Disclaimer: Leading by Example - Empowering Individual Decisions - The information shared in our posts, including order placements and adjustments, is intended for educational purposes only. We believe in leading by example and fostering a culture of openness and transparency, where individuals can learn from real-world trading experiences across various asset types, including cryptocurrencies and traditional assets.
"The pessimist complains about the wind; the optimist expects it to change; the realist adjusts the sails." ~ William Arthur Ward
- Jatslo
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- Posts: 9239
- Joined: Mon Apr 17, 2023 10:26 pm
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Re: Section IV.M.2.a.lxxxiii: Big Time (BIGTIME)
#BIGTIME aka $BIGTIME:
Variables & Navigation:
- Buy Limit Price = 0.11565 (1.00x DCAP)
- Sell Limit Price = 0.11797 (1.00x DCAP)
- Buy Limit Price = 0.10393 (1.00x DCAP) <-- Adjusted
- Sell Limit Price = 0.15977 (1.00x DCAP) <-- Adjusted
- = Executed Order(s)
- = Open Order(s)
- DCAP = Dollar Cost Average Protocol
- LP = Limit Protocol
Disclaimer: Leading by Example - Empowering Individual Decisions - The information shared in our posts, including order placements and adjustments, is intended for educational purposes only. We believe in leading by example and fostering a culture of openness and transparency, where individuals can learn from real-world trading experiences across various asset types, including cryptocurrencies and traditional assets.
"The pessimist complains about the wind; the optimist expects it to change; the realist adjusts the sails." ~ William Arthur Ward
- Jatslo
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- Posts: 9239
- Joined: Mon Apr 17, 2023 10:26 pm
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Re: Section IV.M.2.a.lxxxiii: Big Time (BIGTIME)
#BIGTIME aka $BIGTIME:
Variables & Navigation:
- Buy Limit Price = 0.11605 (1.00x DCAP)
- Sell Limit Price = 0.11838 (1.00x DCAP)
- Buy Limit Price = 0.10331 (1.00x DCAP) <-- Adjusted
- Sell Limit Price = 0.15997 (1.00x DCAP) <-- Adjusted
- = Executed Order(s)
- = Open Order(s)
- DCAP = Dollar Cost Average Protocol
- LP = Limit Protocol
Disclaimer: Leading by Example - Empowering Individual Decisions - The information shared in our posts, including order placements and adjustments, is intended for educational purposes only. We believe in leading by example and fostering a culture of openness and transparency, where individuals can learn from real-world trading experiences across various asset types, including cryptocurrencies and traditional assets.
"The pessimist complains about the wind; the optimist expects it to change; the realist adjusts the sails." ~ William Arthur Ward
- Jatslo
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Re: Section IV.M.2.a.lxxxiii: Big Time (BIGTIME)
#BIGTIME aka $BIGTIME:
Variables & Navigation:
- Buy Limit Price = 0.11652 (1.00x DCAP)
- Sell Limit Price = 0.11886 (1.00x DCAP)
- Buy Limit Price = 0.10252 (1.00x DCAP) <-- Adjusted
- Sell Limit Price = 0.15795 (1.00x DCAP) <-- Adjusted
- = Executed Order(s)
- = Open Order(s)
- DCAP = Dollar Cost Average Protocol
- LP = Limit Protocol
Disclaimer: Leading by Example - Empowering Individual Decisions - The information shared in our posts, including order placements and adjustments, is intended for educational purposes only. We believe in leading by example and fostering a culture of openness and transparency, where individuals can learn from real-world trading experiences across various asset types, including cryptocurrencies and traditional assets.
"The pessimist complains about the wind; the optimist expects it to change; the realist adjusts the sails." ~ William Arthur Ward
- Jatslo
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- Posts: 9239
- Joined: Mon Apr 17, 2023 10:26 pm
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Re: Section IV.M.2.a.lxxxiii: Big Time (BIGTIME)
#BIGTIME aka $BIGTIME:
Variables & Navigation:
- Buy Limit Price = 0.11843 (1.00x DCAP)
- Sell Limit Price = 0.12081 (1.00x DCAP)
- Buy Limit Price = 0.09610 (1.00x DCAP) <-- Adjusted
- Sell Limit Price = 0.15116 (1.00x DCAP) <-- Adjusted
- = Executed Order(s)
- = Open Order(s)
- DCAP = Dollar Cost Average Protocol
- LP = Limit Protocol
Disclaimer: Leading by Example - Empowering Individual Decisions - The information shared in our posts, including order placements and adjustments, is intended for educational purposes only. We believe in leading by example and fostering a culture of openness and transparency, where individuals can learn from real-world trading experiences across various asset types, including cryptocurrencies and traditional assets.
"The pessimist complains about the wind; the optimist expects it to change; the realist adjusts the sails." ~ William Arthur Ward
- Jatslo
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- Posts: 9239
- Joined: Mon Apr 17, 2023 10:26 pm
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Re: Section IV.M.2.a.lxxxiii: Big Time (BIGTIME)
#BIGTIME aka $BIGTIME:
Variables & Navigation:
- Buy Limit Price = 0.12086 (1.00x DCAP)
- Sell Limit Price = 0.12329 (1.00x DCAP)
- Buy Limit Price = 0.09605 (1.00x DCAP) <-- Adjusted
- Sell Limit Price = 0.15112 (1.00x DCAP) <-- Adjusted
- = Executed Order(s)
- = Open Order(s)
- DCAP = Dollar Cost Average Protocol
- LP = Limit Protocol
Disclaimer: Leading by Example - Empowering Individual Decisions - The information shared in our posts, including order placements and adjustments, is intended for educational purposes only. We believe in leading by example and fostering a culture of openness and transparency, where individuals can learn from real-world trading experiences across various asset types, including cryptocurrencies and traditional assets.
"The pessimist complains about the wind; the optimist expects it to change; the realist adjusts the sails." ~ William Arthur Ward
- Jatslo
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- Posts: 9239
- Joined: Mon Apr 17, 2023 10:26 pm
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Re: Section IV.M.2.a.lxxxiii: Big Time (BIGTIME)
#BIGTIME aka $BIGTIME:
Variables & Navigation:
- Buy Limit Price = 0.11864 (1.00x DCAP)
- Sell Limit Price = 0.12102 (1.00x DCAP)
- Buy Limit Price = 0.09567 (1.00x DCAP) <-- Adjusted
- Sell Limit Price = 0.15009 (1.00x DCAP) <-- Adjusted
- = Executed Order(s)
- = Open Order(s)
- DCAP = Dollar Cost Average Protocol
- LP = Limit Protocol
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