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Starting to Trade Crypto for Profit: What the Evidence Says Before You Deposit a Cent

Since its launch, Bitcoin's price has swung widely, bringing rapid gains and considerable losses for early buyers 11. In one Brazilian study, only 1.1% of persistent day traders earned more than minimum wage from trading over five years 1.

This is research, not financial or investment advice. Crypto is high risk.
Repositorio Institucional del Banco de España CC0
Last checked 2026-10-23. Sentence check: 8 paragraphs passed, 6 repaired, 3 removed. Every number links to the exact quote. Read the easy version

In short

Beginners can seek crypto profits through several different instruments, but the cited sources cover only some of them. Bitcoin's price has swung widely since its launch, bringing rapid gains and considerable losses for early buyers 11. CFDs and forex are complex instruments that can cause rapid losses because of leverage, so a beginner should first understand how they work 25. Some traders do well: one study reports that the top-performing currency traders had 68.78 percent of their trades profitable net of transaction costs 5. Base rates are discouraging, however. The average individual day trader in Brazilian futures lost about R$10.2 thousand before costs and taxes 6, and fewer than 1% of day traders in the complete Taiwan Stock Exchange audit trail reliably earned net profits after fees 28. Crypto-specific evidence points the same way. A long-only trader who accounts for realistic costs has no detectable edge from price information in small, mostly non-CEX-listed DEX tokens 49, and technical trading strategies based on single indicators or on combinations of two indicators did not produce higher returns than simply buying and holding cryptocurrencies 46. In a simulated test, the Triple Supertrend rule returned about 8.0% a year versus 15.1% for buy-and-hold on an equal-weighted Nifty 50 portfolio, though it had lower volatility and smaller drawdowns; this is a simulated rule, not actual trader results 43. Leverage multiplies the danger: a liquidation can wipe out most or all of a trader's margin, whereas a planned stop-loss keeps the remaining capital minus a set loss 62. One source recommends leverage of 5x or below to leave room for normal price swings 60. ESMA has noted that CFD sales to the retail mass market were growing steadily even though the products are complex and unsuitable for the large majority of retail investors 31.

Old lessons from stocks and currencies

Researchers were measuring retail traders long before crypto existed. In a 1998 study, retail investors were about 50% more likely to sell a winning position than a losing one, so they held their losers too long 23. By 2000, the most active retail traders earned about 11.4% a year versus 17.9% for the market, a gap of roughly 6.5 percentage points per year 21.

Currency traders offered a more hopeful picture. Data from March 2004 to September 2009 showed individual currency traders earning positive excess returns even after transaction costs 3. In a study of 428 of them, day traders beat non-day traders on raw and risk-adjusted benchmarks, though the study does not report what share of day traders ended with a profit 2.

Bitcoin's wild early years

Since its launch, Bitcoin's price has swung widely, bringing rapid gains and considerable losses for early buyers 11. The asset has crashed nearly a dozen times, with notable crashes in June 2011, April 2013, and December 2017 18.

When researchers measured Bitcoin's weekly returns in August 2018, they found a mean of 3.79% and a standard deviation of 16.64%, a sign of very high volatility 12. Crypto returns had a mean and standard deviation about ten times higher than those of traditional asset classes 14. A daily 20% drop in Bitcoin's price happened about 0.5% of the time, while a daily 20% gain happened almost 1% of the time 16. Returns were positively skewed, and the skew grew as the return frequency moved from daily to monthly 20.

Trading activity grew quickly during the 2017 boom. Average daily Bitcoin trading volume in US dollars rose sharply after July 2017, with most exchanges seeing more than a tenfold increase compared with the first half of 2017 13. Between the first half of 2017 and the period from August 2017 to February 2018, the number of daily trades on most exchanges almost tripled, and Coinbase rose from 28,000 to about 84,000 trades a day 15. Bid-ask spreads on Bitcoin exchanges were tight, averaging about 10 basis points and about 2 to 3 basis points on the most liquid exchanges 17.

Quants, arbitrageurs and shrinking gaps

ESMA's justification said CFD sales to the retail mass market were growing steadily, even though the products are complex and unsuitable for the large majority of retail investors 31. Arbitrage opportunities in crypto markets were well documented and did exist, but their magnitude fell greatly starting in April 2018 33. The authors conclude that crypto arbitrage is hardly possible anymore, because price differences across exchanges are relatively low given present frictions 35.

Automated and technical strategies gave mixed signals. A 2019 survey found that growing efficiency in crypto markets can make trading strategies for speculators less profitable 32. A 2021 study found that investors with higher return targets find crypto expands the efficient frontier, yet the top-performing unconstrained diversified strategy lost money once realistic liquidity limits were applied 2426. Complex technical trading rules beat simple buy-and-hold on Bitcoin and 10 altcoins over 2021 to 2022 45, while a separate study found that single-indicator and two-indicator technical strategies did not produce higher returns than buying and holding 46.

Individual day traders in Brazilian futures lost R$9.9 billion gross between the start of the COVID-19 pandemic and the end of 2023, with the money transferred to the financial institutions that traded against them 10. The study describes day trading in Brazilian futures as a zero-sum game for individuals, in which almost every day shows an aggregate loss 8. On the few days when day traders make an aggregate profit, the gains are very small compared with the losses on losing days 9. Retail traders' complex options trades averaged a negative return of -16.4% over three days, and losses grew as the strategies got more complex 58.

On-chain: front-runners and partial shields

On decentralized exchanges, a hidden cost is MEV. Around $675M in MEV had been extracted on Ethereum before September 2022 36, and researchers describe it as an implicit tax that uninformed users pay for using decentralized services 41. Sandwich attackers, such as bots and arbitrage traders, profit by exploiting pending transactions in the transaction pool 72. Only about 10.7% of MEV revenue was captured through the MEV-Share and MEV-Blocker services, so these protections covered only a limited number of users 42.

Protections help only partly. Private transaction submission reduces the MEV attack surface compared with public-mempool chains, but it does not eliminate sandwich exposure entirely 73, and on Base, one bot's sandwich attacks were attributed to transaction-pool leakage, so protected transactions were still exposed 74. In consumer trading, Coinbase reported that its consumer transaction revenue fell 13% quarter over quarter in Q4 2025, which it attributed partly to customers shifting from its beginner-oriented Simple product to its Advanced trading product 47.

Where things stand in October 2026

Price-based timing shows no detectable edge at any horizon, and real data usually performs worse than its own bar-shuffled null 52. The median strategy loses money even at zero transaction cost 55. The one signal that beats its null, a machine-learning ranker, mainly flags which coins will crash rather than which will rise 56. One source recommends leverage of 5x or below to leave room for normal price swings 60.

Perpetual futures charge a funding rate that floats over time, typically every eight hours, with no built-in way to lock it in 66. Trader Kenneth Ong warns that funding can grow large enough to turn a profitable trade into a losing one if positions are held for long periods 68, and Lucas Krenn says funding exposure cannot be quantified when a trade is placed and cannot be hedged afterwards 69. Isolated margin caps the loss on a position at the collateral assigned to that position, while cross margin puts the whole account balance at risk 61, and the source recommends leverage of 5x or below to leave room for normal price swings 60. A study found that emotional biases such as panic selling, overconfidence, FOMO, and frequent short-term trading greatly increase financial losses for crypto traders 64.

Still unknown

Whether the top currency traders' 68.78% profitable-trade result from a 2011 dissertation would hold for beginners trading crypto today is not established.

The evidence set has no checked, current item on which crypto platforms are licensed in a given country or what tax and reporting rules apply there; the rules, tax, and licensing lane is thin for this question and the beginner will need to check locally.

How many people who start trading crypto are still trading and profitable a year later, and how that compares with stock traders, is not settled by the checked evidence.

Whether multi-year crypto results for ordinary frequent traders beat simply holding a major coin over three to five years is not answered by the evidence gathered so far.

Explore this colony and ask your own questions

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Sources

[1] supported · niche source
A Brazilian study found that over a five-year window, only 1.1% of persistent day traders earned more than minimum wage from trading.
"A landmark Brazilian study found that over a five-year window, only 1.1% of day traders who persisted earned more than minimum wage from their trading."
Is Day Trading Profitable in 2026? A Data-Driven Reality Check
[2] supported · scholarly source
In a study of 428 individual currency traders, day traders outperformed non-day traders on raw, passive benchmarks and on a risk-adjusted basis, though the study does not report what share of day traders ended with a profit.
"the results reveal that day traders not only trade more frequently than non-day traders, but also outperform them based on raw, passive benchmarks and on a risk-adjusted return basis."
Three Essays on Individual Currency Traders (2019)
[3] supported · scholarly source
Individual currency traders in the study earned positive excess returns even after transaction costs were taken into account.
"Examination of daily returns for 428 accounts from March 2004 to September 2009 shows traders are able to earn positive excess returns, even after accounting for transaction costs."
Three Essays on Individual Currency Traders (2019)
[4] supported · scholarly source
In this study of 53 London traders, the traders' Sharpe Ratios increased markedly with the number of years they had traded, which the authors read as evidence that learning raises trader returns.
"We do, however, find that the traders’ Sharpe Ratios increase markedly with the number of years they have traded, a result suggesting that learning plays a role in increasing the returns of traders."
A Note on Trader Sharpe Ratios (2009)
[5] supported · scholarly source
The top-performing currency traders had 68.78 percent of their trades profitable net of transaction costs, which the author says was not due to chance.
"We find that 68.78 percent of trades executed by the top traders are profitable net of transaction costs, and profits do not arise from chance."
Three Essays on Individual Currency Traders (2019)
[6] supported
Across the period, the average individual day trader in Brazilian futures lost about R$10.2 thousand, before costs and taxes.
"Dividindo o prejuízo agregado do período por esse número de participantes, chega-se a uma perda média de R$ 10,2 mil por pessoa."
Translation: Dividing the aggregate loss for the period by this number of participants gives an average loss of R$10.2 thousand per person.
The COVID-19 and day-trade pandemics in Brazil (2025)
[7] supported · scholarly source
Among individual currency traders, using well-known technical analysis was negatively associated with performance.
"The results show that the use of technical analysis by individual currency traders is negatively associated with performance."
Three Essays on Individual Currency Traders (2019)
[8] documented
The study describes day trading in Brazilian futures as a zero-sum game for individuals, in which almost every day shows an aggregate loss.
"um jogo de soma negativa para pessoas físicas, em que quase todos os dias agregam prejuízo e em que, nos raros dias com ganhos, esses são insuficientes para reverter a tendência de perdas sistemáticas."
Translation: a negative-sum game for individuals, in which almost every day aggregates a loss and in which, on the rare days with gains, these are insufficient to reverse the trend of systematic losses.
The COVID-19 and day-trade pandemics in Brazil (2025)
[9] documented
On the few days when day traders make an aggregate profit, the gains are very small compared with the losses on losing days.
"Nos poucos dias em que há lucro agregado, os valores positivos são de magnitude muito modesta quando comparados às perdas observadas nos dias negativos."
Translation: On the few days when there is an aggregate profit, the positive amounts are of very modest magnitude compared with the losses observed on negative days.
The COVID-19 and day-trade pandemics in Brazil (2025)
[10] supported
Individual day traders in Brazilian futures lost R$9.9 billion gross between the start of the COVID-19 pandemic and the end of 2023, with the money transferred to the financial institutions that traded against them.
"Como não consideramos em nossas contas nenhum custo de operação ou tributário, as perdas de R$ 9,9 bilhões no day trade implicam que esse montante foi diretamente transferido das pessoas físicas para as instituições financeiras que operaram contra elas no mercado futuro."
Translation: Since we did not include any operating or tax costs in our accounts, the losses of R$9.9 billion in day trading imply that this amount was directly transferred from individuals to the financial institutions that traded against them in the futures market.
The COVID-19 and day-trade pandemics in Brazil (2025)
[11] supported · niche source
Bitcoin's price has swung widely since its launch, bringing rapid gains and considerable losses for early buyers.
"Over the years, Bitcoin’s price volatility has led to rapid gains and also considerable losses."
Bitcoin Price History (2009-2026)
[12] supported · scholarly source
Bitcoin's weekly mean return was 3.79 percent, with a standard deviation of 16.64 percent, showing very high volatility.
"For example, theweeklymeanreturnonBitcoinis3.79percentwithastandarddeviationof16.64percent."
Risks and Returns of Cryptocurrency (2020)
[13] supported · scholarly source
Average daily Bitcoin trading volume in US dollars rose sharply after July 2017, with most exchanges seeing more than a tenfold increase compared with the first half of 2017.
"This is more than a tenfold increase in trading volume for most exchanges."
Trading and Arbitrage in Cryptocurrency Markets (2018)
[14] supported · scholarly source
Crypto returns have a mean and standard deviation about ten times higher than those of traditional asset classes.
"We observe that the mean and the standard deviation of returns are an order of magnitude higher than those for the traditional asset classes."
Risks and Returns of Cryptocurrency (2020)
[15] supported · scholarly source
On most exchanges the number of daily trades almost tripled between the first half of 2017 and the period from August 2017 to February 2018, with Coinbase rising from 28,000 to about 84,000 trades a day.
"On most exchanges the number of trades almost triples between the first half of 2017 and the period from August 2017 to February 2018."
Trading and Arbitrage in Cryptocurrency Markets (2018)
[16] documented · scholarly source
A daily 20 percent drop in Bitcoin's price happens about 0.5 percent of the time, while a daily 20 percent gain happens almost 1 percent of the time.
"a “disaster” of the daily 20 percent negative return on Bitcoin happens with the probability of 0.5 percent while a “miracle” of the same size happens with the probability of almost 1 percent."
Risks and Returns of Cryptocurrency (2020)
[17] supported · scholarly source
Bid-ask spreads on Bitcoin exchanges were tight, averaging about 10 basis points, and about 2-3 basis points on the most liquid exchanges.
"The bid-ask spread on average is about 10 basis points, and on the most liquid exchanges it is about 2-3 basis points."
Trading and Arbitrage in Cryptocurrency Markets (2018)
[18] supported · niche source
Bitcoin has crashed nearly a dozen times, with notable crashes in June 2011, April 2013, and December 2017.
"Historically, Bitcoin has crashed nearly a dozen times, with some of the most notable crashes occurring in June 2011, April 2013, and December 2017."
Bitcoin Price History (2009-2026)
[19] documented · scholarly source
Cryptocurrency returns have a high probability of extreme outcomes, both sharp crashes ("disasters") and sharp rallies ("miracles").
"Thereturnsexperiencehighprobabilitiesof“disasters”and“miracles”."
Risks and Returns of Cryptocurrency (2020)
[20] supported · scholarly source
Crypto returns are positively skewed, and this skewness grows as the return frequency moves from daily to monthly.
"The returns have positive skewness increasing with the frequencies fromdailytomonthly."
Risks and Returns of Cryptocurrency (2020)
[21] supported · niche source
Overtrading is a measurable cost: the most active retail traders earned about 11.4% a year versus 17.9% for the market, a gap of roughly 6.5 percentage points per year.
"most-active traders vs the market: 11.4% vs 17.9% annually (Barber & Odean, 2000)"
Retail Trading Behavior Statistics 2026 — Loss Rates, Psychology ...
[22] supported · scholarly source
Diversification across cryptocurrencies, not just holding a single coin, was found to be beneficial, though investors can also diversify too much.
"Most importantly, our findings clearly indicate that diversification also across CCs is beneficial. At the same time, investors could diversify too much."
Investing with cryptocurrencies – evaluating their potential for portfolio allocation strategies (2021)
[23] supported · niche source
Retail investors are about 50% more likely to sell a winning position than a losing one, so they hold losers too long.
"investors are roughly 50% more likely to realize a winning position than a losing one, holding losers too long (Odean, 1998)"
Retail Trading Behavior Statistics 2026 — Loss Rates, Psychology ...
[24] supported · scholarly source
Purely risk-minimizing investors would optimally hold very little cryptocurrency, while investors with higher return targets find that crypto substantially expands the efficient frontier.
"We show that purely risk-minimizing investors will optimally choose to mostly forego CC investment; however, for investors with higher target returns their addition seriously expands the efficient frontier."
Investing with cryptocurrencies – evaluating their potential for portfolio allocation strategies (2021)
[25] supported · niche source
CFDs and forex are described as complex instruments that can cause rapid losses because of leverage, so a beginner should first understand how they work.
"CFDs and forex are complex instruments with a high risk of losing money rapidly due to leverage. "
71.0% of Retail Traders Lose Money — 2026 Data (49 Brokers)
[26] supported · scholarly source
The top-performing unconstrained diversified strategy lost money once realistic liquidity limits were applied, falling below initial wealth.
"For instance, the MD strategy shows excellent performance without liqudity constraints (+175%), yet the application of LIBRO pushes final CW below initial wealth (−14%)."
Investing with cryptocurrencies – evaluating their potential for portfolio allocation strategies (2021)
[27] supported · niche source
The document advises traders to check whether they understand how CFDs work and whether they can afford the risk of losing their money before trading.
"You should consider whether you understand how CFDs work and whether you can afford to take the high risk of losing your money."
71.0% of Retail Traders Lose Money — 2026 Data (49 Brokers)
[28] supported · niche source
In a study of the complete Taiwan Stock Exchange audit trail, fewer than 1% of day traders reliably earned net profits after fees.
"fewer than 1% of day traders were able to predictably and reliably earn net profits after fees"
Retail Trading Behavior Statistics 2026 — Loss Rates, Psychology ...
[29] supported · scholarly source
Returns of broad cryptocurrency portfolios that ignore liquidity cannot actually be realized by professional investors.
"Most importantly, returns of broad CC portfolios that are calculated without accounting for liquidity remain virtual: they cannot be realized by professional investors."
Investing with cryptocurrencies – evaluating their potential for portfolio allocation strategies (2021)
[30] supported · niche source
US fund investors earned about 1.1 percentage points a year less than the funds they held, due to the timing of their entries and exits.
"US fund investors earned about 1.1 percentage points per year less than the funds they held, purely from timing of entries and exits (Morningstar Mind the Gap, 2024)."
Retail Trading Behavior Statistics 2026 — Loss Rates, Psychology ...
[31] supported · primary source
ESMA's justification said CFD sales to the retail mass market were growing steadily even though the products are complex and unsuitable for the large majority of retail investors.
"dass der Vertrieb von CFD auf dem Kleinanleger-Massenmarkt stetig zunimmt, obwohl diese Produkte komplex und für die große Mehrheit der Kleinanleger ungeeignet sind"
Translation: that the distribution of CFDs on the retail mass market is steadily increasing, even though these products are complex and unsuitable for the large majority of retail investors
Verfügungen - Allgemeinverfügung bezüglich sog. Differenzgeschäfte ("Contracts for Difference / CFD") - Bafin
[32] supported · scholarly source
Growing efficiency in cryptocurrency markets over recent years can make trading strategies for speculators less profitable.
"Nevertheless, large steps towards efficiency in cryptocurrencies have been traced during the last years. This can lead to less profitable trading strategies for speculators."
A Survey on Efficiency and Profitable Trading Opportunities in Cryptocurrency Markets (2019)
[33] documented · scholarly source
Arbitrage opportunities in crypto markets were well documented and did exist, but their magnitude fell greatly starting in April 2018.
"theirmagnitudedecreasedgreatlyfromApril2018onward."
Arbitrage in the market for cryptocurrencies (2023)
[34] documented · scholarly source
The authors' analysis of various trading strategies found that it is barely possible to exploit existing cross-exchange price differences.
"weshowthatitisbarelypossibletoexploitexistingprice"
Arbitrage in the market for cryptocurrencies (2023)
[35] documented · scholarly source
The authors conclude that crypto arbitrage is hardly possible anymore because price differences across exchanges are relatively low given present frictions.
"Weconcludethatarbitrageinthemarketforcryptocurrenciesishardlypossibleanymore,aspricedifferencesacrossexchangesarerelativelylowgivenpresentfrictions."
Arbitrage in the market for cryptocurrencies (2023)
[36] supported · scholarly source
Around $675M in MEV had been extracted on Ethereum before September 2022.
"Before September 2022, around $675M was extracted in terms of MEV in Ethereum."
Remeasuring the Arbitrage and Sandwich Attacks of Maximal Extractable Value in Ethereum (2024)
[37] supported · scholarly source
Researchers who tried to quantify how much MEV hurts ordinary users reached inconsistent conclusions about the size of that user impact.
"There have been a number of articles that have attempted to quantify this [Tit23,DGK+20] and the conclusions on the magnitude of user impact are inconsistent."
Towards a Theory of Maximal Extractable Value II: Uncertainty (2023)
[38] supported · scholarly source
Front-running and back-running strategies place transactions around user trades so arbitrage can profit from uninformed user order flow, and KDC22 calculated bounds on the resulting change in social welfare.
"in order to allow arbitrage trades to take advantage of uninformed user flow. This type of MEV has been well-studied and in fact"
Towards a Theory of Maximal Extractable Value II: Uncertainty (2023)
[39] supported · scholarly source
The paper estimates that MEV bot activity alone represented nearly $20 billion in transactions.
"This ratio translates to nearly $20 billion in transactions from MEV bot activities alone"
CoMMA Protocol: Towards Complete Mitigation of Maximal Extractable Value (MEV) Attacks (2023)
[40] supported · scholarly source
An MEV-explore tool estimated that about $700M of maximal extractable value had been extracted on Ethereum since 1 January 2020, and the paper argues the true total is likely much higher.
"At the time of this writing, an “MEV-explore” tool [1] estimates the amount of MEV extracted on Ethereum since the 1st of Jan 2020 to be close to $700M."
Maximal Extractable Value (MEV) Protection on a DAG (2022)
[41] supported · scholarly source
MEV is described as an implicit tax that uninformed users pay for using decentralized services.
"an implicit tax that uninformed users pay for"
CoMMA Protocol: Towards Complete Mitigation of Maximal Extractable Value (MEV) Attacks (2023)
[42] supported · scholarly source
Only about 10.7% of MEV revenue was captured through the MEV-Share and MEV-Blocker services, so these services protected only a limited number of users.
"accounting for a mere 10.7%. We conclude that these two services only protect a limited number of users, highlighting the growth potential of both services."
Remeasuring the Arbitrage and Sandwich Attacks of Maximal Extractable Value in Ethereum (2024)
[43] supported · scholarly source
In out-of-sample testing from 2019 to 2026, the Triple Supertrend trading rule returned about 8.0% a year versus 15.1% a year for buy-and-hold on an equal-weighted Nifty 50 portfolio, though the rule had lower volatility and smaller drawdowns. This is a simulated rule, not actual trader results.
"Out of sample, the strategy returns 8.0% a year against 15.1% for buy-and-hold, with volatility of 8.5% against 17.4% and a maximum drawdown of-12.1% against-38.6%."
Does a Popular Trading Signal Beat Buy-and-Hold? (2026)
[44] supported · scholarly source
Buying index options on the same trading signals loses money in simulation.
"Buying index options on the same signals loses money in simulation."
Does a Popular Trading Signal Beat Buy-and-Hold? (2026)
[45] supported · scholarly source
Complex technical trading rules beat simple buy-and-hold on Bitcoin and 10 altcoins over 2021 to 2022.
"The results proved that the CTTRs strategy offers forecasting power when trading Bitcoin and alt coins, causing the trade to outperform the traditional or default B&H strategy."
Optimizing Returns in Cryptocurrency Markets: A Comparative Analysis of Complex Technical Trading Rules and Buy-and-Hold Strategies (2025)
[46] documented · scholarly source
Technical trading strategies based on single indicators or on combinations of two indicators did not produce higher returns than simply buying and holding cryptocurrencies.
"The authors find that the trading strategies based on single indicators or the combination of two indicators do not generate higher returns than buy-and-hold returns among cryptos."
Do technical trading rules outperform the simple buy-and-hold strategy in the cryptocurrency market? (2023)
[47] documented · primary source
Coinbase's consumer transaction revenue fell 13% quarter over quarter in Q4 2025, which the company attributed partly to customers shifting from its beginner-oriented Simple product to its Advanced trading product.
"Consumer transaction revenue was $734 million in Q4, down 13% Q/Q driven by a volume mix shift f rom Simple to Advanced"
8-K Coinbase Global, Inc. (COIN) (CIK 0001679788) 2026-02-12
[48] supported · niche source
Robinhood charges no explicit commission on crypto trades, so its cost is the spread built into the price.
"No explicit fee; the spread is the cost"
Crypto Exchange Fees Explained & Compared (2026) · saved copy
[49] supported · scholarly source
A long-only trader who accounts for realistic costs has no detectable edge that price information can supply in small, mostly non-CEX-listed DEX tokens.
"a long-only, realistically-costed trader has no detectable edge that price information can supply"
No Edge Without Information: An Empirical Study of Tradeability in Decentralized-Exchange-Only Cryptocurrencies (2026)
[50] supported · primary source
DeFi Alpha, a specialized arbitrage trading desk run by DeFi Technologies, generated about C$113.8 million (US$83.4 million) from arbitrage trades in Q2 2024 up to the announcement.
"which has successfully generated approximately C$113.8 million (US$83.4 million) thus far in Q2 from low-risk arbitrage trades, marking a robust start for this new venture."
40FR12B Defi Technologies, Inc. (DEFT, DEFTF) (CIK 0001888274) 2024-09-16
[51] documented · primary source
DeFi Alpha, the company's in-house arbitrage desk, earned a one-time return of about C$30.2 million (US$22 million) from a single arbitrage trade.
"generated a one-time return of approximately C$30.2 million (US$22 million) from an arbitrage trade."
40FR12B/A Defi Technologies, Inc. (DEFTF) (CIK 0001888274) 2025-05-07
[52] supported · scholarly source
Price-based timing shows no detectable edge at any horizon, and real data usually performs worse than its own bar-shuffled null.
"Price-based timing shows no detectable edge at any horizon (intraday, swing, cross-sectional, cross-chain): real data performs no better than, and usually worse than, its own shuffle"
No Edge Without Information: An Empirical Study of Tradeability in Decentralized-Exchange-Only Cryptocurrencies (2026)
[53] supported · primary source
In its first year of operations, DeFi Alpha reported C$132.1 million (US$96.8 million) in revenue from systematic arbitrage trading.
"generated C$132.1 million (US$96.8 million) in revenue through systematic arbitrage trading"
40FR12B/A Defi Technologies, Inc. (DEFTF) (CIK 0001888274) 2025-05-07
[54] supported · scholarly source
Strategies practitioners commonly use, such as market-neutral hedging, launch timing, liquidity provision, cross-pool arbitrage, and order flow, fail net of cost.
"The strategies practitioners actually use fail too, net of cost (market-neutral hedging, launch timing, liquidity provision, cross-pool arbitrage, regime conditioning, portfolio aggregation, and order flow)"
No Edge Without Information: An Empirical Study of Tradeability in Decentralized-Exchange-Only Cryptocurrencies (2026)
[55] supported · scholarly source
The median strategy loses money even at zero transaction cost.
"the median strategy loses even at zero cost"
No Edge Without Information: An Empirical Study of Tradeability in Decentralized-Exchange-Only Cryptocurrencies (2026)
[56] supported · scholarly source
The one signal that beats its null, a machine-learning ranker, mainly flags which coins will crash rather than which will rise.
"its predictability is concentrated in the lower tail (it flags which coins crash, not which rise)"
No Edge Without Information: An Empirical Study of Tradeability in Decentralized-Exchange-Only Cryptocurrencies (2026)
[57] supported · established source
In the study, 62.2% of all participants, representing 575,246 wallets, realized losses from their crypto trading.
"Meanwhile, 62.2% of all participants, representing 575,246 wallets, realized losses."
Study finds most AI crypto trading agents aren't really trading - TheStreet Crypto: Bitcoin and cryptocurrency news, advice, analysis and more
[58] supported · scholarly source
Retail traders' complex options trades averaged a negative return of -16.4% over three days, and losses grew as the strategies got more complex.
"their trades on average yield negative returns of -16.4% over three days, with losses increasing with complexity"
Betting on Elusive Returns: Retail Trading in Complex Options (2023)
[59] supported · scholarly source
Retail investors appear not to fully grasp the risk/return trade-offs of complex strategies, and they are drawn in by embedded leverage and lottery-like payoffs.
"Our findings suggest that retail investors do not fully grasp the risk/returns trade-offs in complex strategies, and they are lured by their inherent leverage and promise of lottery-like payoffs."
Betting on Elusive Returns: Retail Trading in Complex Options (2023)
[60] supported · niche source
The source recommends leverage of 5x or below to leave room for normal price swings.
"5x or below for room to handle normal swings"
Crypto Liquidation Statistics 2026: Key Facts Every Leveraged Trader Should Know - CoinCentral
[61] supported · niche source
Isolated margin caps the loss on a position at the collateral assigned to that position, while cross margin puts the whole account balance at risk.
"Isolated margin limits the loss to the collateral assigned to one position."
Crypto Liquidation Statistics 2026: Key Facts Every Leveraged Trader Should Know - CoinCentral
[62] supported · niche source
A liquidation can wipe out most or all of a trader's margin, whereas a planned stop-loss keeps the remaining capital minus a set loss.
"With a liquidation, the exchange picks the exit, the trader loses most or all of the margin, and slippage and fees can add costs."
Crypto Liquidation Statistics 2026: Key Facts Every Leveraged Trader Should Know - CoinCentral
[63] supported · established source
The traders interviewed say the funding rate, not liquidations, is the bigger concern with perpetual futures.
"Ask any crypto trader what's wrong with perps and you'll usually get "liquidations," or forced closure of long and short positions on account of margin shortage. But, according to Krenn and Ong, the funding rate is more of a cause for concern."
The good and the bad of perps , according to crypto traders (coindesk.com, 2026-07)
[64] supported · scholarly source
The study found that emotional biases such as panic selling, overconfidence, FOMO, and frequent short-term trading greatly increase financial losses for crypto traders.
"The results show that emotional biases like panic selling, overconfidence, FOMO, and frequent short-term trading greatly increase financial losses."
CRYPTOCURRENCY MARKET BEHAVIOR: AN ANALYTICAL STUDY WITH IMPLICATIONS FOR RETAIL TRADERS AND INVESTORS (2026)
[65] supported · established source
Nearly 1 million retail traders lost an estimated $3.8 billion on the $TRUMP meme coin, according to a Senate subcommittee report.
"Nearly 1 million retail traders lost an estimated $3.8 billion on $TRUMP, according to a July 2026 report by Democratic staff on the Senate Permanent Subcommittee on Investigations that cited blockchain analysis."
Hunter Biden $LAPTOP meme coin rockets from $3 to $300 -- then crashes within minutes (nypost.com, 2026-09)
[66] supported · established source
Perpetual futures charge a funding rate that floats over time, typically every eight hours, with no built-in way to lock it in.
"A perpetual futures contract, on the other hand, has a funding rate that changes over time and is typically charged every eight hours."
The good and the bad of perps , according to crypto traders (coindesk.com, 2026-07)
[67] supported · established source
The $TRUMP meme coin was trading roughly 97% below its January 2025 record price.
"Trump’s meme coin was recently trading around $2.20 — roughly 97% below its January 2025 record of $73.43."
Hunter Biden $LAPTOP meme coin rockets from $3 to $300 -- then crashes within minutes (nypost.com, 2026-09)
[68] supported · established source
Trader Kenneth Ong warns that funding can grow large enough to turn a profitable trade into a losing one if positions are held for long periods.
"If you hold positions for long periods, it can potentially balloon to the point where a profitable trade loses money."
The good and the bad of perps , according to crypto traders (coindesk.com, 2026-07)
[69] supported · established source
Lucas Krenn says funding exposure cannot be quantified when a trade is placed and cannot be hedged afterwards.
""It is unquantifiable at the point of trade and unhedgeable afterwards," Krenn said."
The good and the bad of perps , according to crypto traders (coindesk.com, 2026-07)
[70] supported · established source
The $TRUMP coin caused heavy losses for many retail traders who bought into it.
"The Trump coin delivered heavy losses for many of the retail traders who piled into the president’s cryptocurrency."
Hunter Biden $LAPTOP meme coin rockets from $3 to $300 -- then crashes within minutes (nypost.com, 2026-09)
[71] supported · scholarly source
Multiple defenses against sandwich attacks have been proposed, including slippage-related limits such as limiting price impact alongside slippage.
"limiting price impact alongside slippage [12]"
GasTrace: Detecting Sandwich Attack Malicious Accounts in Ethereum
[72] supported · scholarly source
Sandwich attackers, such as bots and arbitrage traders, profit by exploiting pending transactions in the transaction pool.
"to exploit profit in the pending transaction pool."
GasTrace: Detecting Sandwich Attack Malicious Accounts in Ethereum
[73] supported · scholarly source
Private transaction submission reduces the MEV attack surface compared with public-mempool chains, but it does not eliminate sandwich exposure entirely.
"whilenoteliminatingitentirely."
No Place to Hide: An Analysis on Protected Order Flow Sandwich Attacks (2026)
[74] supported · scholarly source
On Base, one bot's sandwich attacks were attributed to transaction-pool leakage, meaning protected transactions were still exposed before inclusion.
"Weattributethesesandwichestotransaction-poolleakage"
No Place to Hide: An Analysis on Protected Order Flow Sandwich Attacks (2026)
[75] supported · scholarly source
On Solana, after the JitoSOL delisting, about 96% of sandwich attacks spanned multiple blocks, so attackers mostly did not place both legs tightly around the victim.
"Thus,96%ofattacksspanblocks."
No Place to Hide: An Analysis on Protected Order Flow Sandwich Attacks (2026)
[76] supported · scholarly source
Traders in the study tended to realise positive returns when Reddit sentiment was bullish.
"Traders tend to realise positive returns when sentiment is bullish."
Sentiment and trading decisions in an ambiguous environment: A study on cryptocurrency traders (2022)
[77] supported · scholarly source
Positive changes in bullishness on Reddit were associated with traders executing larger trades and a higher probability of depositing and withdrawing funds.
"positive changes in the level of bullishness lead to traders executing larger trades, and a higher probability of depositing and withdrawing funds."
Sentiment and trading decisions in an ambiguous environment: A study on cryptocurrency traders (2022)
[78] documented · scholarly source
The CTREND trend factor's predictive effect survives the impact of transaction costs, so it is not wiped out by trading fees.
"Moreover, it survives the impact of transaction costs and persists in big and liquid coins."
A Trend Factor for the Cross Section of Cryptocurrency Returns (2025)
[79] documented · scholarly source
First-day winners in IPOs continue to be winners over the first year, and first-day losers continue to be relative losers.
"We show that first‐day winners continue to be winners over the first year, and first‐day dogs continue to be relative dogs."
The Persistence of IPO Mispricing and the Predictive Power of Flipping (1999)
[80] supported · scholarly source
The exception to the persistence pattern is "extra-hot" IPOs, which perform the worst in the future.
"Exceptions are “extra‐hot” IPOs, which provide the worst future performance."
The Persistence of IPO Mispricing and the Predictive Power of Flipping (1999)