Smart Money On Solana
Project Overview
Create a dashboard that tracks the most profitable traders on Solana (both in terms of token swaps and with NFTs). Use parameters to help define who falls under the category of most profitable and over what timeframe.
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What has "smart money" been doing on Solana over the past month? Over the past week? Are they active traders or do they hold positions for days at a time? What projects have yielded the most profit for Solana traders? Are there any indicators of what their next trades or strategy will be? How does your dashboard compare to Hellomoon's smart money inflows and outflows?
Methodology
This dashboard consists of two main parts. in the first part (which named as NFT section), you can find most profitable NFT traders, Top 50 Profitable Tokens ($),Top 50 Profitable Collections ($),Marketplaces and the net profit/loss which users made on them, Sectors which top NFT traders interacted with and also the top platforms which top NFT traders interacted with . in the following part of section one, you can define a wallet address and get her/his number of trades,net profit or loss and tha Rank.
in the second part (which named as SWAP section), Sectors which top traders interacted with and also the top platforms which top traders interacted with . in the following part of section one, you can define a wallet address and get her/his number of trades, net profit or loss and the Rank.
you can also get all results in your desired timeframe
Introduction
Understanding Smart Money
Smart money is cash invested or wagered by those considered experienced, well informed, "in-the-know," or all three. There is little empirical evidence to support the notion that smart-money investments perform better than non-smart-money investments; however, such influxes of cash influence many speculation methods.
The term, "smart money" comes from gamblers that had a deep knowledge of the sport they were betting on or insider knowledge that the public was unable to tap into. The investing world is similar. The populace perceives that the smart money is invested by those with a fuller understanding of the market or with information that a regular investor cannot access. As such, the smart money is considered to have a much better chance of success when the trading patterns of institutional investors diverge from retail investors.
Smart money also refers to the collective force of big money that can move markets. In this context, the central bank is the force behind smart money, and individual traders are riding the coattails of the smart money.
In the context of gambling, smart money refers to those who earn a living on their bets; many gamblers use historical mathematical algorithms to decide how much and on what to wager.
Identifying Smart Money
Conventional wisdom holds that insiders and informed speculators typically invest more, so it should follow that smart money is sometimes identified by greater-than-usual trading volume, particularly when little or no public data exists to justify the volume. However, very little evidence exists to confirm that widely-held suspicion.
One source of information that is generated almost exclusively by more informed market participants is the pricing of stock and index options. Such information is complex and confusing to untrained investors and traders so it naturally serves, and is used, by a more informed set of market participants. Knowing who the holders are of smart money and where they are investing can be of great benefit to retail investors who want to ride the coattails of smart money investors.
Some data providers use various methods and data sources to group transaction data from commercial and non-commercial traders. One such source is known as the Commitment of Traders (COT) report. This data is published weekly by by the Commodity Futures Trading Commission (CFTC).1 Many analysts use this information to divide futures trading activity into actions being taken by better-informed investors. Any such "smart money versus dumb money" chart study should emphasize the recognizable differences in how the two groups position themselves in the market.
However, chart readers should be aware that a chart study that labels price action as smart money or dumb money is prone to invalid characterizations. Not every investing action can relay the investors' intent through the price action alone. Additionally, returns of a given individual, and even most professional portfolio managers, are often unable match the returns of mechanical index investing over time. [1]

Observations
- based on the charts and the results obtained , Most profitable trader durind last 365 days , was
4sGBg312qLq6uGAm52CExoE2uGHqUmP7RgoGaaf9vkRc
which made 4.4M$ in 1283 trades and the second one wasH7JxZCcY5cnTr7CjiZZj7cbhk1zH6gBCe7ehKqCVAfsx
which made 3.1M$ in 32 trades. - Users also made the most profit with the token address FgEEejkeZE6VJaZFqyYGWLcEptPJRPREtZwtrYwsDs6m by 1.3M$ which belongs to degen dojo collection.
- The ABC and Degod collections, were those which gave the users most of profit.44% of profit belongs to the users which have held their tokens for 11-20 days.
- 64% of most profitable users, held their tokens for more than 1 month, however, 44% of profit belongs to users which have held their tokens for 11-20 days.
- average holding time for top traders is 53.5days, while , it was 66 days for top losers.
- Users also made the most profit with the Hadeswap Marketplace by 24 M$ .
==please note that all of the results above obtained based on days_back = 365==
Observations
- based on the charts and the results obtained , Most profitable trader during last 365 days , was
Anrdva4tkUhv8udbdSUBpAgqDGKoHhrMWwb3tzfB2BTb
which made 11.5M$ in 460 trades and the second one wasFGGsHyeye5MxqCGC9rA3LcCZmx2C9B96JWjoWX4x6yTt
which made 3.18M$ in 4094 trades. - jupiter aggregator v2 and MagicEden were the platforms which gave the users most of profit.
- Users also made the most profit with the pair usdc-->vrs by 16 M$ .
==please note that all of the results above obtained based on days_back = 365==
Observations
- as shown in the charts, the sectors which top traders have interacted with are DEX with 94.6% in #txns and 65.3% in Value $ and the Cexs with 5.3% in #txns and 34.7% in Value $
- Also, The platforms which top traders have interacted with are Orca with 94.7% in #txns and 65.3% in Value $ and the Binance 16.1% in Value $
- ==please note that all of the results above obtained based on days_back = 365==
Observations
- as shown in the charts, the sectors which top NFT traders have interacted with are CEX with 36% in #txns and 69% in Value $ and the Dexs with 33% in #txns and 29% in Value $
- Also, The platforms which top traders have interacted with in terms of TXNS is Orca with 47.9% and in terms of Value is Binance with 38.1% .
- ==please note that all of the results above obtained based on days_back = 365==
Conclusion
- Tracking smart money wallets individually is a powerful tool to understand the trading strategies that successful investors employ. Nansen’s new watchlist is continually being updated to allow users to easily make and track a personally curated list of wallets. However, when we view smart money as a group of wallets, they provide a more fundamental market overview. Take for example Solana’s smart money flows, which track the aggregate flow of smart money deposits and withdrawals across crypto tokens.
- Smart money holders made a huge profit on both NFT and Token trading sections.
- Nft giants’ capital flow was toward Cex and Dex sectors respectively , which Orca and Binance were their first choice to interact with.
- Swap giants’ capital flow was toward Dex and Cex sectors respectively , which Orca and Binance were their first choice to interact with.
- There is no crosschain between top traders in swap and Nft sectors.
Author
Moe the Analyst
Discord : pine_moe!#8905
Twitter :
moe88q