three things that actually improve trading results over time.
not the ones typically sold in courses.
one: review process, not analysis volume. reading more news, watching more charts, following more analysts — none of this reliably improves performance. reviewing your own trades — why you took them, what actually happened, what your decision-making process was — does. the signal is in your own data.
two: reduced number of pairs. trading 12 pairs means you understand none of them deeply. most professional discretionary traders focus on 2-4 pairs and know their idiosyncratic behavior intimately.
three: session discipline. trade in the session where your pairs have their primary liquidity. trading EURUSD from an asia-only schedule means you miss the primary moves and trade in worse conditions. if you can't trade london or NY overlap, consider whether EURUSD is the right pair.
none of these require a course or a subscription. they require looking honestly at what you're doing and making deliberate changes based on evidence from your own trading history.
not the ones typically sold in courses.
one: review process, not analysis volume. reading more news, watching more charts, following more analysts — none of this reliably improves performance. reviewing your own trades — why you took them, what actually happened, what your decision-making process was — does. the signal is in your own data.
two: reduced number of pairs. trading 12 pairs means you understand none of them deeply. most professional discretionary traders focus on 2-4 pairs and know their idiosyncratic behavior intimately.
three: session discipline. trade in the session where your pairs have their primary liquidity. trading EURUSD from an asia-only schedule means you miss the primary moves and trade in worse conditions. if you can't trade london or NY overlap, consider whether EURUSD is the right pair.
none of these require a course or a subscription. they require looking honestly at what you're doing and making deliberate changes based on evidence from your own trading history.
the journal: what to write, not just that you should write.
every trader has been told to keep a journal. almost no one does it usefully. here is what to actually write.
before the trade:
— what is the setup? describe it in one sentence. if you can't, you don't have a setup.
— what is the thesis? why should price move in your direction?
— where is the stop? where is the invalidation point?
— what is the target? and is the risk/reward acceptable at current ATR?
— what is the current macro context? is this trade aligned with the higher-timeframe view?
after the trade:
— what actually happened? not P&L — what did price do?
— was the thesis correct? did it play out but you got the entry/timing wrong?
— what would you change?
monthly review:
— which setup types produced the best results?
— what conditions led to your losses?
— what is your actual win rate and risk/reward over the last 30 trades?
the journal is not a diary. it is a database. over time, it tells you things about your trading that you cannot learn any other way.
every trader has been told to keep a journal. almost no one does it usefully. here is what to actually write.
before the trade:
— what is the setup? describe it in one sentence. if you can't, you don't have a setup.
— what is the thesis? why should price move in your direction?
— where is the stop? where is the invalidation point?
— what is the target? and is the risk/reward acceptable at current ATR?
— what is the current macro context? is this trade aligned with the higher-timeframe view?
after the trade:
— what actually happened? not P&L — what did price do?
— was the thesis correct? did it play out but you got the entry/timing wrong?
— what would you change?
monthly review:
— which setup types produced the best results?
— what conditions led to your losses?
— what is your actual win rate and risk/reward over the last 30 trades?
the journal is not a diary. it is a database. over time, it tells you things about your trading that you cannot learn any other way.
conviction versus certainty: the distinction that matters.
you will never be certain about a trade. the market is stochastic. no analysis eliminates uncertainty.
conviction is different. conviction is the degree to which your read of the evidence supports a directional view. high conviction means multiple independent factors point the same direction: the macro backdrop is aligned, the technical structure supports the view, positioning data suggests the consensus is not crowded against you, and the risk/reward is favorable.
low conviction means one factor looks interesting but the others don't confirm. this is where many trades are taken that shouldn't be.
the rule: size conviction, not certainty. when multiple factors align, size up to your maximum risk tolerance. when only one factor is present, size down or wait.
this is not about being more confident. it is about calibrating your bet size to the actual strength of the evidence. professional traders don't trade with certainty — they trade with calibrated confidence and accept the outcomes over a large sample.
you will never be certain about a trade. the market is stochastic. no analysis eliminates uncertainty.
conviction is different. conviction is the degree to which your read of the evidence supports a directional view. high conviction means multiple independent factors point the same direction: the macro backdrop is aligned, the technical structure supports the view, positioning data suggests the consensus is not crowded against you, and the risk/reward is favorable.
low conviction means one factor looks interesting but the others don't confirm. this is where many trades are taken that shouldn't be.
the rule: size conviction, not certainty. when multiple factors align, size up to your maximum risk tolerance. when only one factor is present, size down or wait.
this is not about being more confident. it is about calibrating your bet size to the actual strength of the evidence. professional traders don't trade with certainty — they trade with calibrated confidence and accept the outcomes over a large sample.
three questions to ask before any trade.
not ten. not a 20-point checklist. three.
one: what is the expected value of this trade over many repetitions?
this is not a question about this specific trade. it is a question about the category of setup. if your strategy has a 55% win rate with a 1.5:1 risk/reward, the expected value is positive. if this trade is in that category, the math supports taking it.
two: is this the right time for this setup?
is liquidity appropriate? am I in the right session for this pair? is there a news event in the next hour that will distort normal price behavior?
three: am I in the right state to execute this?
this is the one retail traders skip. if you're frustrated from a recent loss, overconfident after a winning run, or distracted, your execution quality degrades. the same setup, taken in the same market conditions, will produce different results depending on the mental state of the trader.
all three questions need a "yes" answer before you take the trade. most losing trades fail on question two or three, not question one.
not ten. not a 20-point checklist. three.
one: what is the expected value of this trade over many repetitions?
this is not a question about this specific trade. it is a question about the category of setup. if your strategy has a 55% win rate with a 1.5:1 risk/reward, the expected value is positive. if this trade is in that category, the math supports taking it.
two: is this the right time for this setup?
is liquidity appropriate? am I in the right session for this pair? is there a news event in the next hour that will distort normal price behavior?
three: am I in the right state to execute this?
this is the one retail traders skip. if you're frustrated from a recent loss, overconfident after a winning run, or distracted, your execution quality degrades. the same setup, taken in the same market conditions, will produce different results depending on the mental state of the trader.
all three questions need a "yes" answer before you take the trade. most losing trades fail on question two or three, not question one.
understanding slippage and why it matters more than most traders think.
slippage is the difference between the price at which you intended to execute and the price at which you actually executed.
in normal liquid conditions on EURUSD, slippage is minimal — fractions of a pip. but several conditions make it significant:
— market orders on data releases. submitting a market order in the first 10 seconds after a major release means you get whatever price the liquidity is available at. this can be 5-20 pips worse than the last quoted price.
— stop-loss orders in fast markets. in a flash crash or a rapid directional move, a stop-loss set at 1.0800 may execute at 1.0785. the stop is not a guarantee — it is a trigger.
— low-liquidity sessions. during asia hours, thin order books mean larger orders move the market against you more than in the london session.
the implication: your back-tested results assume execution at the exact price of your signal. your live results include slippage. for strategies with tight stops or high trade frequency, the gap between back-test and live performance is often largely explained by slippage and spread.
slippage is the difference between the price at which you intended to execute and the price at which you actually executed.
in normal liquid conditions on EURUSD, slippage is minimal — fractions of a pip. but several conditions make it significant:
— market orders on data releases. submitting a market order in the first 10 seconds after a major release means you get whatever price the liquidity is available at. this can be 5-20 pips worse than the last quoted price.
— stop-loss orders in fast markets. in a flash crash or a rapid directional move, a stop-loss set at 1.0800 may execute at 1.0785. the stop is not a guarantee — it is a trigger.
— low-liquidity sessions. during asia hours, thin order books mean larger orders move the market against you more than in the london session.
the implication: your back-tested results assume execution at the exact price of your signal. your live results include slippage. for strategies with tight stops or high trade frequency, the gap between back-test and live performance is often largely explained by slippage and spread.
week ahead previews: what to actually look for, not just what to list.
every financial media outlet publishes a "key events this week" list on monday morning. this is not week-ahead analysis. it is a calendar.
actual week-ahead analysis:
— what is the current market pricing for each key release? not just the consensus estimate, but where the options market or rate market is positioned.
— what would a surprise in either direction mean for the dominant theme? if the market is pricing 2 rate cuts this year and CPI beats significantly, what repricing happens?
— where are the entry points if your thesis plays out? identify the levels before the event, not during.
— what is the correlation between this week's events? if NFP is thursday and CPI is wednesday, the second print is interpreted in the context of the first.
the traders who profit from data releases have already done their analysis before the number prints. the traders who react to the number as it happens are generally providing liquidity to the former group.
every financial media outlet publishes a "key events this week" list on monday morning. this is not week-ahead analysis. it is a calendar.
actual week-ahead analysis:
— what is the current market pricing for each key release? not just the consensus estimate, but where the options market or rate market is positioned.
— what would a surprise in either direction mean for the dominant theme? if the market is pricing 2 rate cuts this year and CPI beats significantly, what repricing happens?
— where are the entry points if your thesis plays out? identify the levels before the event, not during.
— what is the correlation between this week's events? if NFP is thursday and CPI is wednesday, the second print is interpreted in the context of the first.
the traders who profit from data releases have already done their analysis before the number prints. the traders who react to the number as it happens are generally providing liquidity to the former group.
the losing streak is not a problem to fix.
a trading strategy with a 60% win rate will, over a sample of 50 trades, produce sequences of 5 or more consecutive losses with a probability of approximately 12%. over 200 trades, at least one such sequence is statistically near-certain.
the losing streak itself is not evidence that the strategy is broken. it is evidence that you are trading in real conditions.
what matters: how large is the losing streak relative to the historical maximum for your strategy? if you have never seen more than 6 consecutive losses in 2000 historical trades and you are now on loss 8, that is worth examining. if you are on loss 5 and your historical max is 8, that is expected variance.
the destructive response to a losing streak: changing the strategy. this is the pattern that prevents traders from ever building a track record. the strategy changes at the worst point in the loss curve, just as it is statistically most likely to recover.
the correct response: verify that the market conditions still match your strategy's operating environment. if yes, continue. if no, reduce size or stop until conditions realign.
a trading strategy with a 60% win rate will, over a sample of 50 trades, produce sequences of 5 or more consecutive losses with a probability of approximately 12%. over 200 trades, at least one such sequence is statistically near-certain.
the losing streak itself is not evidence that the strategy is broken. it is evidence that you are trading in real conditions.
what matters: how large is the losing streak relative to the historical maximum for your strategy? if you have never seen more than 6 consecutive losses in 2000 historical trades and you are now on loss 8, that is worth examining. if you are on loss 5 and your historical max is 8, that is expected variance.
the destructive response to a losing streak: changing the strategy. this is the pattern that prevents traders from ever building a track record. the strategy changes at the worst point in the loss curve, just as it is statistically most likely to recover.
the correct response: verify that the market conditions still match your strategy's operating environment. if yes, continue. if no, reduce size or stop until conditions realign.
the research process: how to form a macro view on a currency pair.
step one: identify the primary driver. what is the dominant force on this pair in the current regime? rate differential? risk sentiment? commodity prices? country-specific factors?
step two: evaluate the current positioning and consensus. is the obvious view already fully priced? if every bank is already bearish EUR, and the data has been weak for months, the trade may have less room. contrarian thinking is not about being contrarian — it is about not paying for a consensus position.
step three: find the catalyst. a macro view is not a trade until there is an expected catalyst that might cause the market to reprice. an event (central bank meeting, data release), a policy shift, or a positioning unwind.
step four: define the trade. if the thesis is right, where does price go? what is the path? where is it wrong? where do you exit?
step five: size appropriately. high-confidence setups with clear catalysts and good risk/reward warrant more size. views with uncertain catalysts warrant less.
this process takes longer than looking at a chart. that is the point.
step one: identify the primary driver. what is the dominant force on this pair in the current regime? rate differential? risk sentiment? commodity prices? country-specific factors?
step two: evaluate the current positioning and consensus. is the obvious view already fully priced? if every bank is already bearish EUR, and the data has been weak for months, the trade may have less room. contrarian thinking is not about being contrarian — it is about not paying for a consensus position.
step three: find the catalyst. a macro view is not a trade until there is an expected catalyst that might cause the market to reprice. an event (central bank meeting, data release), a policy shift, or a positioning unwind.
step four: define the trade. if the thesis is right, where does price go? what is the path? where is it wrong? where do you exit?
step five: size appropriately. high-confidence setups with clear catalysts and good risk/reward warrant more size. views with uncertain catalysts warrant less.
this process takes longer than looking at a chart. that is the point.
the SNB floor removal: january 15, 2015 — the most violent FX move in G10 history.
background: in september 2011, the SNB set a floor on EURCHF at 1.2000. they committed to buying unlimited euros to prevent CHF from strengthening beyond this level. the stated reason: CHF was dangerously strong, threatening swiss export competitiveness and risking deflation.
the floor held for 3 years and 4 months. markets priced it as essentially permanent — brokers reduced margins on EURCHF, traders built carry strategies around it, and the pair barely moved.
january 15, 2015, 09:30 CET: the SNB announced, without warning, that it was abandoning the floor. EURCHF dropped from 1.2000 to a low of approximately 0.8500 within minutes — a 30% move in one of the most liquid G10 currency crosses.
the impact: several retail FX brokers became insolvent because client losses exceeded account equity — the broker absorbed the difference. many professional traders lost multiples of their intended maximum loss.
the permanent lesson: no peg, floor, or ceiling in FX is permanent. when central banks remove them, they remove them without warning. sizing for tail risk in any pegged or managed pair must account for this, regardless of how long the structure has held.
background: in september 2011, the SNB set a floor on EURCHF at 1.2000. they committed to buying unlimited euros to prevent CHF from strengthening beyond this level. the stated reason: CHF was dangerously strong, threatening swiss export competitiveness and risking deflation.
the floor held for 3 years and 4 months. markets priced it as essentially permanent — brokers reduced margins on EURCHF, traders built carry strategies around it, and the pair barely moved.
january 15, 2015, 09:30 CET: the SNB announced, without warning, that it was abandoning the floor. EURCHF dropped from 1.2000 to a low of approximately 0.8500 within minutes — a 30% move in one of the most liquid G10 currency crosses.
the impact: several retail FX brokers became insolvent because client losses exceeded account equity — the broker absorbed the difference. many professional traders lost multiples of their intended maximum loss.
the permanent lesson: no peg, floor, or ceiling in FX is permanent. when central banks remove them, they remove them without warning. sizing for tail risk in any pegged or managed pair must account for this, regardless of how long the structure has held.
the difference between being wrong and being early.
these two things feel identical when you're in the position. they are not the same.
being wrong: the thesis was incorrect. the driver you identified did not move price because it was not the primary driver, or it was already fully priced, or a counter-driver was stronger.
being early: the thesis is correct but the catalyst has not yet arrived. price hasn't moved yet because the information hasn't fully disseminated or the positioning adjustment hasn't happened.
how to tell them apart — this is genuinely difficult in real time. but:
— if new information has emerged that contradicts your thesis, you are probably wrong.
— if the thesis is intact but timing was off, you may be early.
— if the market is moving against you in the absence of new information, consider that you may have identified the right theme but at the wrong magnitude.
the response to being early: hold, but size appropriately so that being early for longer than expected doesn't become a capital event. the response to being wrong: exit, review, and update your model.
these two things feel identical when you're in the position. they are not the same.
being wrong: the thesis was incorrect. the driver you identified did not move price because it was not the primary driver, or it was already fully priced, or a counter-driver was stronger.
being early: the thesis is correct but the catalyst has not yet arrived. price hasn't moved yet because the information hasn't fully disseminated or the positioning adjustment hasn't happened.
how to tell them apart — this is genuinely difficult in real time. but:
— if new information has emerged that contradicts your thesis, you are probably wrong.
— if the thesis is intact but timing was off, you may be early.
— if the market is moving against you in the absence of new information, consider that you may have identified the right theme but at the wrong magnitude.
the response to being early: hold, but size appropriately so that being early for longer than expected doesn't become a capital event. the response to being wrong: exit, review, and update your model.
Forwarded from EQUILON | John Zhan
The ECB has brought together central bank governors in Sintra — yet there’s hardly any mention of it on the news channels
The ECB Forum in Sintra (Portugal) is a closed-door annual event, taking place this year from 29 June to 1 July.
This year’s theme is ‘innovation, growth and stability’. I’ll be highlighting the key points as they emerge and sharing them here.
What I’m specifically keeping an eye on:
Today (Mon):
✔️ Opening ceremony and dinner, with an opening address by Lagarde. This is largely a ceremonial event and is unlikely to have much impact on the markets.
Tomorrow (Tue) – AI day:
✔️ 11:40, ‘AI and Financial Stability’ panel: Tobias Adrian (IMF), Sarah Briden (Bank of England) + academics and Apollo’s chief economist.
✔️ 14:30, a separate discussion on AI — Aaron Chatterjee, Chief Economist at OpenAI, and Philip Lane from the ECB.
This is what I’ll be listening to first and foremost: I’m curious to hear what someone from OpenAI has to say about AI in the context of the economy and regulation.
Wednesday:
✔️9.45, a session on tokenisation. Hyun-Seong Shin (Bank of Korea) will be presenting on the Hangang unified registry project. Tokenisation is currently one of the key issues for the entire financial system.
✔️ A context that cannot be ignored: Binance recently withdrew its application for a MiCA licence in Greece. From 1 July, it will be impossible to operate in the EU without a licence — the exchange has already halted the registration of new users in Europe and is scaling back some of its services (whilst stating that clients will retain access to their funds). It plans to apply for a licence in France next. Against this backdrop, the issue of crypto regulation takes on particular urgency.
✔️ 14:00, political panel and forum closing session: Bailey (Bank of England), Lagarde (ECB), Macklem (Bank of Canada) and Warsh (US Federal Reserve).
I’m keeping a close eye on Warsh in particular — the new head of the Fed; his speech here is of particular interest.
I’ll keep you updated on any important news over the next few days.
The ECB Forum in Sintra (Portugal) is a closed-door annual event, taking place this year from 29 June to 1 July.
This year’s theme is ‘innovation, growth and stability’. I’ll be highlighting the key points as they emerge and sharing them here.
What I’m specifically keeping an eye on:
Today (Mon):
✔️ Opening ceremony and dinner, with an opening address by Lagarde. This is largely a ceremonial event and is unlikely to have much impact on the markets.
Tomorrow (Tue) – AI day:
✔️ 11:40, ‘AI and Financial Stability’ panel: Tobias Adrian (IMF), Sarah Briden (Bank of England) + academics and Apollo’s chief economist.
✔️ 14:30, a separate discussion on AI — Aaron Chatterjee, Chief Economist at OpenAI, and Philip Lane from the ECB.
This is what I’ll be listening to first and foremost: I’m curious to hear what someone from OpenAI has to say about AI in the context of the economy and regulation.
Wednesday:
✔️9.45, a session on tokenisation. Hyun-Seong Shin (Bank of Korea) will be presenting on the Hangang unified registry project. Tokenisation is currently one of the key issues for the entire financial system.
✔️ A context that cannot be ignored: Binance recently withdrew its application for a MiCA licence in Greece. From 1 July, it will be impossible to operate in the EU without a licence — the exchange has already halted the registration of new users in Europe and is scaling back some of its services (whilst stating that clients will retain access to their funds). It plans to apply for a licence in France next. Against this backdrop, the issue of crypto regulation takes on particular urgency.
✔️ 14:00, political panel and forum closing session: Bailey (Bank of England), Lagarde (ECB), Macklem (Bank of Canada) and Warsh (US Federal Reserve).
I’m keeping a close eye on Warsh in particular — the new head of the Fed; his speech here is of particular interest.
I’ll keep you updated on any important news over the next few days.